To see the other types of publications on this topic, follow the link: Drones.
Journal articles on the topic 'Drones'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Drones.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Kang, Tae-Won, and Jin-Woo Jung. "A Drone’s 3D Localization and Load Mapping Based on QR Codes for Load Management." Drones 8, no. 4 (March 29, 2024): 130. http://dx.doi.org/10.3390/drones8040130.
Full textAbstract:
The ongoing expansion of the Fourth Industrial Revolution has led to a diversification of drone applications. Among them, this paper focuses on the critical technology required for load management using drones. Generally, when using autonomous drones, global positioning system (GPS) receivers attached to the drones are used to determine the drone’s position. However, GPS integrated into commercially available drones have an error margin on the order of several meters. This paper, proposes a method that uses fixed-size quick response (QR) codes to maintain the error of drone 3D localization within a specific range and enable accurate mapping. In the drone’s 3D localization experiment, the errors were maintained within a specific range, with average errors ranging from approximately 0 to 3 cm, showing minimal differences. During the mapping experiment, the average error between the actual and estimated positions of the QR codes was consistently around 0 to 3 cm.
2
Wilson, Andrew M., Kenneth S. Boyle, Jennifer L. Gilmore, Cody J. Kiefer, and Matthew F. Walker. "Species-Specific Responses of Bird Song Output in the Presence of Drones." Drones 6, no. 1 (December 21, 2021): 1. http://dx.doi.org/10.3390/drones6010001.
Full textAbstract:
Drones are now widely used to study wildlife, but their application in the study of bioacoustics is limited. Drones can be used to collect data on bird vocalizations, but an ongoing concern is that noise from drones could change bird vocalization behavior. To test for behavioral impact, we conducted an experiment using 30 sound localization arrays to track the song output of 7 songbird species before, during, and after a 3 min flight of a small quadcopter drone hovering 48 m above ground level. We analyzed 8303 song bouts, of which 2285, from 184 individual birds were within 50 m of the array centers. We used linear mixed effect models to assess whether patterns in bird song output could be attributed to the drone’s presence. We found no evidence of any effect of the drone on five species: American Robin Turdus migratorius, Common Yellowthroat Geothlypis trichas, Field Sparrow Spizella pusilla, Song Sparrow Melospiza melodia, and Indigo Bunting Passerina cyanea. However, we found a substantial decrease in Yellow Warbler Setophaga petechia song detections during the 3 min drone hover; there was an 81% drop in detections in the third minute (Wald test, p < 0.001) compared with before the drone’s introduction. By contrast, the number of singing Northern Cardinal Cardinalis cardinalis increased when the drone was overhead and remained almost five-fold higher for 4 min after the drone departed (p < 0.001). Further, we found an increase in cardinal contact/alarm calls when the drone was overhead, with the elevated calling rate lasting for 2 min after the drone departed (p < 0.001). Our study suggests that the responses of songbirds to drones may be species-specific, an important consideration when proposing the use of drones in avian studies. We note that recent advances in drone technology have resulted in much quieter drones, which makes us hopeful that the impact that we detected could be greatly reduced.
3
Yulianto, Ahmad Wilda, Dhandi Yudhit Yuniar, and Yoyok Heru Prasetyo. "Navigation and Guidance for Autonomous Quadcopter Drones Using Deep Learning on Indoor Corridors." Jurnal Jartel Jurnal Jaringan Telekomunikasi 12, no. 4 (December 30, 2022): 258–64. http://dx.doi.org/10.33795/jartel.v12i4.422.
Full textAbstract:
Autonomous drones require accurate navigation and localization algorithms to carry out their duties. Outdoors drones can utilize GPS for navigation and localization systems. However, GPS is often unreliable or not available at all indoors. Therefore, in this research, an autonomous indoor drone navigation model was created using a deep learning algorithm, to assist drone navigation automatically, especially in indoor corridor areas. In this research, only the Caddx Ratel 2 FPV camera mounted on the drone was used as an input for the deep learning model to navigate the drone forward without a collision with the wall in the corridor. This research produces two deep learning models, namely, a rotational model to overcome a drone's orientation deviations with a loss of 0.0010 and a mean squared error of 0.0009, and a translation model to overcome a drone's translation deviation with a loss of 0.0140 and a mean squared error of 0.011. The implementation of the two models on autonomous drones reaches an NCR value of 0.2. The conclusion from the results obtained in this research is that the difference in resolution and FOV value in the actual image captured by the FPV camera on the drone with the image used for training the deep learning model results in a discrepancy in the output value during the implementation of the deep learning model on autonomous drones and produces low NCR implementation values.
4
Junior, Milembolo Miantezila, and Bin Guo. "Sensing spectrum sharing based massive MIMO radar for drone tracking and interception." PLOS ONE 17, no. 5 (May 20, 2022): e0268834. http://dx.doi.org/10.1371/journal.pone.0268834.
Full textAbstract:
Radar sensors are becoming crucial for environmental perception in a world with the tremendous growth of unmanned aerial vehicles (UAVs) or drones. When public safety is a concern, the localization of drones are of great significance. However, a drone used for a wrong motive can cause a serious problem for the environment and public safety, given the fact that the dynamic movement of a drone’s emission signal and location tracking is different from existing positioning. This study proposes a safety zone characterized by the presence of N radars sensors with a goal to track and destabilized rogue drones attending to penetrate safety zones (stadium and school). Specifically, a new joint estimation based on a Gaussian filter has been introduced for spectrum sharing and detection awareness. The profit of this novel sensing method can be clearly seen when the two joint hidden states are taken into consideration. Therefore, the drone’s emission state is analyzed by estimating its movement jointly. Considering the drone’s unknown states and actual positioning, an algorithm is developed based on dynamic states space model. Where Bernoulli filter model is designed to estimate recursively the unknown stages of the drone and its changing location based on time. Meanwhile a power control acted from the radar to the targeted drones so that rogue drones are optimally tracked and destabilized over time. Furthermore, an expanding mechanism has been generated to accurately track the drone and enhance detection. A thoughtful result of the experimentation shows clearly that, even when the drone is moving, spectral detection can be performed accurately by chasing its positions. Its demonstrates at 90% of credibility that the original signal has a direct effect on the propagated signal. Therefore, the magnitude of the Doppler shift increases with frequency. And the clue of its positioning can be used for cognitive radio optimization.
5
Truog, Susan, Luciana Maxim, Charles Matemba, Carla Blauvelt, Hope Ngwira, Archimede Makaya, Susana Moreira, et al. "Insights Before Flights: How Community Perceptions Can Make or Break Medical Drone Deliveries." Drones 4, no. 3 (August 30, 2020): 51. http://dx.doi.org/10.3390/drones4030051.
Full textAbstract:
Drones are increasingly used to transport health products, but life-saving interventions can be stalled if local community concerns and preferences are not assessed and addressed. In order to inform the introduction of drones in new contexts, this paper analyzed similarities and differences in community perceptions of medical delivery drones in Malawi, Mozambique, the Democratic Republic of the Congo (DRC) and the Dominican Republic (DR). Community perceptions were assessed using focus group discussions (FGDs) and key informant interviews (KIIs) conducted with stakeholders at the national level, at health facilities and in communities. Data were collected on respondents’ familiarity with drones, perceptions of benefits and risks of drones, advice on drone operations and recommendations on sharing information with the community. The comparative analysis found similar perceptions around the potential benefits of using drones, as well as important differences in the perceived risks of flying drones and culturally appropriate communication mechanisms based on the local context. Because community perceptions are heavily influenced by culture and local experiences, a similar assessment should be conducted before introducing drone activities in new areas and two-way feedback channels should be established once drone operations are established in an area. The extent to which a community understands and supports the use of drones to transport health products will ultimately play a critical role in the success or failure of the drone’s ability to bring life-saving products to those who need them.
6
Lakshmi K K, Hareesha N. G,. "Solar-Powered Drone for Extended Flight Time." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (October 16, 2023): 2874–80. http://dx.doi.org/10.52783/tjjpt.v44.i4.1377.
Full textAbstract:
Drones can now fly for longer periods and have a smaller carbon footprint. These drones have solar cells that use sunlight's energy to power the drone and other components on board. Agriculture, disaster relief, and environmental protection can all benefit from the development of solar-powered drones. The present research aims to increase battery life so that flights can last longer. It gives a general overview of the drone's parts and solar cells, outlining potential applications. Incorrect weight distribution can cause instability and make it difficult to achieve lift, rendering the drone incapable of flight and confined to ground-based operations The drone being discussed has a well-balanced weight distribution, which restricts its functionality and prevents it from flying correctly. Proper weight distribution has been achieved in the drone under consideration in this study, leading to stable flight and improved endurance.
7
Maurer, Kathrin. "Visual power: The scopic regime of military drone operations." Media, War & Conflict 10, no. 2 (April 7, 2016): 141–51. http://dx.doi.org/10.1177/1750635216636137.
Full textAbstract:
This article analyzes how visual scopic regimes of military drones configure violence as a form of man hunting. For the French philosopher Grégoire Chamayou, man hunting embodies a type of cynegetic (hunting related) violence, which military drones can execute by power surveillance. Research often focuses on the political, legal, anthropological, and ethical aspects of this type of violence; the aspects of its visual framing are often underexposed. In order to change this shortcoming, this article draws attention to the medial aspects of this violence by investigating the drone’s scopic regime. The scopic regime refers to the drone’s visual configuration, i.e. its ocular operations of capture, its optical perspective on the target, the visual sensing of the drone pilot, as well as the target’s range of vision. Three scopic dimensions of military drones, namely hypervisibility, visual immersion, and invisibility are investigated. In doing so, this article explores how drones stage, interpret, convey, mediate, and execute violence as man hunting. Excursions to the works of contemporary visual artists are conducted in order to illustrate aesthetic interventions against the drone’s visual superpower.
8
Saranovic, Daniel, Martin Pavlovski, William Power, Ivan Stojkovic, and Zoran Obradovic. "Interception of automated adversarial drone swarms in partially observed environments." Integrated Computer-Aided Engineering 28, no. 4 (August 27, 2021): 335–48. http://dx.doi.org/10.3233/ica-210653.
Full textAbstract:
As the prevalence of drones increases, understanding and preparing for possible adversarial uses of drones and drone swarms is of paramount importance. Correspondingly, developing defensive mechanisms in which swarms can be used to protect against adversarial Unmanned Aerial Vehicles (UAVs) is a problem that requires further attention. Prior work on intercepting UAVs relies mostly on utilizing additional sensors or uses the Hamilton-Jacobi-Bellman equation, for which strong conditions need to be met to guarantee the existence of a saddle-point solution. To that end, this work proposes a novel interception method that utilizes the swarm’s onboard PID controllers for setting the drones’ states during interception. The drone’s states are constrained only by their physical limitations, and only partial feedback of the adversarial drone’s positions is assumed. The new framework is evaluated in a virtual environment under different environmental and model settings, using random simulations of more than 165,000 swarm flights. For certain environmental settings, our results indicate that the interception performance of larger swarms under partial observation is comparable to that of a one-drone swarm under full observation of the adversarial drone.
9
Shayea, Ibraheem, Pabiola Dushi, Mohammed Banafaa, Rozeha A. Rashid, Sawsan Ali, Mohd Adib Sarijari, Yousef Ibrahim Daradkeh, and Hafizal Mohamad. "Handover Management for Drones in Future Mobile Networks—A Survey." Sensors 22, no. 17 (August 25, 2022): 6424. http://dx.doi.org/10.3390/s22176424.
Full textAbstract:
Drones have attracted extensive attention for their environmental, civil, and military applications. Because of their low cost and flexibility in deployment, drones with communication capabilities are expected to play key important roles in Fifth Generation (5G), Sixth Generation (6G) mobile networks, and beyond. 6G and 5G are intended to be a full-coverage network capable of providing ubiquitous connections for space, air, ground, and underwater applications. Drones can provide airborne communication in a variety of cases, including as Aerial Base Stations (ABSs) for ground users, relays to link isolated nodes, and mobile users in wireless networks. However, variables such as the drone’s free-space propagation behavior at high altitudes and its exposure to antenna sidelobes can contribute to radio environment alterations. These differences may render existing mobility models and techniques as inefficient for connected drone applications. Therefore, drone connections may experience significant issues due to limited power, packet loss, high network congestion, and/or high movement speeds. More issues, such as frequent handovers, may emerge due to erroneous transmissions from limited coverage areas in drone networks. Therefore, the deployments of drones in future mobile networks, including 5G and 6G networks, will face a critical technical issue related to mobility and handover processes due to the main differences in drones’ characterizations. Therefore, drone networks require more efficient mobility and handover techniques to continuously maintain stable and reliable connection. More advanced mobility techniques and system reconfiguration are essential, in addition to an alternative framework to handle data transmission. This paper reviews numerous studies on handover management for connected drones in mobile communication networks. The work contributes to providing a more focused review of drone networks, mobility management for drones, and related works in the literature. The main challenges facing the implementation of connected drones are highlighted, especially those related to mobility management, in more detail. The analysis and discussion of this study indicates that, by adopting intelligent handover schemes that utilizing machine learning, deep learning, and automatic robust processes, the handover problems and related issues can be reduced significantly as compared to traditional techniques.
10
Yang, Eun Young. "The necessity of enacting independent legislation reflecting the entire life cycle of drones." Korean Public Land Law Association 101 (February 28, 2023): 411–38. http://dx.doi.org/10.30933/kpllr.2023.101.411.
Full textAbstract:
It is no exaggeration to say that drones are the leader of the Fourth Industrial Revolution, and the whole world is paying attention to fostering the drone industry. Since drones reflect the verification of state-of-the-art technology and the improved emotional culture of humans, Korea's drone law is currently focusing on the use of drones, industrial development, fostering, and promotion, so it is necessary to strengthen regulations on risks and side effects from the expansion of the drone industry. Korea deals with regulations on the production, ownership, and operation of drones, focusing on the Aviation Safety Act, which is largely applied differently depending on weight and business status. Unlike Korea, aviation-related laws such as drone reporting, pilot certification, flight airspace, and pilot compliance are organized into separate chapters or enacted separate laws in major advanced aviation countries, while Korea's drone-related laws are scattered in many related laws, so there are many problems in practical application. Most basically, even the terms established in the law are not unified in practice, the standards presented in practice are not reflected in the law, and accordingly, there is a gap between laws and practice in safety management standards and operation. The Ministry of Land, Infrastructure and Transport has come up with measures to strengthen some regulations to improve the safety of drones, but the problem is that legislative omission and simple formal regulations are being made due to inadequate regulations on aircraft declaration, safety certification and flight approval, and pilot certification systems and excessive deregulation. In addition, public law regulation is urgent in that there is no control means for drones in operation, there are limitations in cracking down on drones in illegal flight, and there is no instructions for the disposal of drones that have been operated. Therefore, in this study, the existing laws and regulations focusing on the stages of the drone's entire life cycle, it is applied at each stage are combined to improve measures such as supplementing legislative inadequacies, for example, clarification of drone definition, legislation of liability insurance, strengthening safety security regulations, practical drone crackdown and production requirements, drone disposal, etc. and to make it easier for the people subject to the law to understand, I will propose a direction to preemptively prepare legislation that deals only with drones to improve the current drone-related legislation, which is stipulated in conjunction with existing aircraft, to form a separate chapter in the Aviation Safety Act, or to enact a new individual law, considering the infinite growth potential of the drone industry and its influence on society.
11
Bouafif, Hana, Faouzi Kamoun, and Farkhund Iqbal. "Towards a Better Understanding of Drone Forensics." International Journal of Digital Crime and Forensics 12, no. 1 (January 2020): 35–57. http://dx.doi.org/10.4018/ijdcf.2020010103.
Full textAbstract:
Unmanned aerial vehicles (drones) have gained increased popularity as their innovative uses continue to expand across various fields. Despite their numerous beneficial uses, drones have unfortunately been misused, through many reported cases, to launch illegal and sometimes criminal activities that pose direct threats to individuals, organizations, public safety and national security. These threats have recently led law enforcement agencies and digital forensic investigators to pay special attention to the forensic aspects of drones. This important research topic, however, remains underexplored. This study aims to further explore drone forensics in terms of challenges, forensic investigation procedures and experimental results through a forensic investigation study performed on a Parrot AR drone 2.0. In this study, the authors present new insights on drone forensics in terms of forensic approaches, access to drone's digital containers and the retrieval of key information that can assist digital forensic investigators establish ownership, recuperate flight data and gain access to media files.
12
Torky, Mohamed, Mohamed El-Dosuky, Essam Goda, Václav Snášel, and Aboul Ella Hassanien. "Scheduling and Securing Drone Charging System Using Particle Swarm Optimization and Blockchain Technology." Drones 6, no. 9 (September 4, 2022): 237. http://dx.doi.org/10.3390/drones6090237.
Full textAbstract:
Unmanned aerial vehicles (UAVs) have emerged as a powerful technology for introducing untraditional solutions to many challenges in non-military fields and industrial applications in the next few years. However, the limitations of a drone’s battery and the available optimal charging techniques represent a significant challenge in using UAVs on a large scale. This problem means UAVs are unable to fly for a long time; hence, drones’ services fail dramatically. Due to this challenge, optimizing the scheduling of drone charging may be an unusual solution to drones’ battery problems. Moreover, authenticating drones and verifying their charging transactions with charging stations is an essential associated problem. This paper proposes a scheduling and secure drone charging system in response to these challenges. The proposed system was simulated on a generated dataset consisting of 300 drones and 50 charging station points to evaluate its performance. The optimization of the proposed scheduling methodology was based on the particle swarm optimization (PSO) algorithm and game theory-based auction model. In addition, authenticating and verifying drone charging transactions were executed using a proposed blockchain protocol. The optimization and scheduling results showed the PSO algorithm’s efficiency in optimizing drone routes and preventing drone collisions during charging flights with low error rates with an MAE = 0.0017 and an MSE = 0.0159. Moreover, the investigation to authenticate and verify the drone charging transactions showed the efficiency of the proposed blockchain protocol while simulating the proposed system on the Ethereum platform. The obtained results clarified the efficiency of the proposed blockchain protocol in executing drone charging transactions within a short time and low latency within an average of 0.34 s based on blockchain performance metrics. Moreover, the proposed scheduling methodology achieved a 96.8% success rate of drone charging cases, while only 3.2% of drones failed to charge after three scheduling rounds.
13
Refaai, Mohamad Reda A., Vinjamuri S. N. C. H. Dattu, H. S. Niranjana Murthy, P. Pramod Kumar, B. Kannadasan, and Abdi Diriba. "An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities." Advances in Materials Science and Engineering 2022 (August 24, 2022): 1–13. http://dx.doi.org/10.1155/2022/7387346.
Full textAbstract:
Drones, the Internet of Things (IoT), and Artificial Intelligence (AI) could be used to create extraordinary responses to today’s difficulties in smart city challenges. A drone, which would be effectively a data-gathering device, could approach regions that become complicated, dangerous, or even impossible to achieve for individuals. In addition to interacting with one another, drones must maintain touch with some other ground-based entities, including IoT sensors, robotics, and people. Throughout this study, an intelligent approach for predicting the signal power from a drone to IoT applications in smart cities is presented in terms of maintaining internet connectivity, offering the necessary quality of service (QoS), and determining the drone’s transmission range offered. Predicting signal power and fading channel circumstances enables the adaptable transmission of data, which improves QoS for endpoint users/devices while lowering transmitting data power usage. Depending on many relevant criteria, an artificial neural network (ANN)-centered precise and effective method is provided to forecast the signal strength from such drones. The signal strength estimations are also utilized to forecast the drone’s flight patterns. The results demonstrate that the proposed ANN approach has an excellent correlation with the verification data collected through computations, with the determination of coefficient R2 values of 0.97 and 0.98, correspondingly, for changes in drone height and distances from a drone. Furthermore, the finding shows that signal distortions could be considerably decreased and strengthened.
14
Lu, Zhenguang, Jiarong Li, Zengrui Tian, Jiaojiao Wang, and Jianhua Hou. "Alert and Flight Initiation Distances of the Coot in Response to Drones." Diversity 16, no. 9 (August 29, 2024): 518. http://dx.doi.org/10.3390/d16090518.
Full textAbstract:
Alert and flight initiation distances are important elements of bird behavioral responses and indicators of their adaptation to external disturbances; therefore, they provide an important basis for bird conservation. With continual rapid advancements in drone technology, the use of drones in bird field surveys is becoming increasingly important. However, the disturbance impact of drones on birds remains controversial and needs further assessment. This study measured the distances at which coots (Fulica atra) tolerated drones in the Baiyangdian wetland, Northern China, over 42 days from August to November 2023 and at the end of July 2024. The results show the maximum alert distance (AD) and maximum flight initiation distance (FID) of the coot to be 44 m and 35 m, respectively. The coots showed no signs of disturbance when the drones flew at an altitude of 50 m. The AD of the coot showed a significant relationship with whether it saw the drones in advance, environmental conditions, and the drone’s behavior before it approached, whereas the FID was only significantly affected by whether the coot saw the drones in advance. The sight of drones in advance considerably increased the AD and FID.
15
Shahar, Farah Syazwani, and Mohamed Thariq Hameed Sultan. "A Comparative Analysis Review of Plant Fibres in Advanced Bio-based Material for Sustainable Drone Construction." Pertanika Journal of Science and Technology 32, S5 (October 30, 2024): 103–22. http://dx.doi.org/10.47836/pjst.32.s5.05.
Full textAbstract:
As researchers’ awareness of ecological impact and climate change increases, several solutions were proposed to help reduce carbon emissions and promote the circularity of materials. Drones technology can help monitor the environment since it can cover a large area, collect real-time images and data, and operate in dangerous environments. Also, the drone’s ecological factor could be further increased by its construction itself. Thus, many researchers are trying to develop a sustainable drone using plant fibres to reduce carbon emissions and ensure the circularity of materials. This review mainly compares the drones made from plant fibres and traditional materials such as plastics and synthetic fibres. This review also includes the introduction of material circularity, the drone’s role in helping ensure material circularity and environment safety, and the advantages and disadvantages of the drone materials. The review will also compare the drone performances made from different bio-based materials with conventional ones. Plant fibres’ role in drone construction significantly contributes to reducing carbon emissions and ensuring the circularity of materials. With drone construction paving the way for other critical structural applications, there is a possibility that plant fibres will soon become the most significant raw material for sustainable products.
16
Okulski, Michał, and Maciej Ławryńczuk. "A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone." Applied Sciences 12, no. 14 (July 13, 2022): 7059. http://dx.doi.org/10.3390/app12147059.
Full textAbstract:
Most types of Unmanned Aerial Vehicle (UAV, drone) missions requiring Vertical-Take-Off-and-Landing (VTOL) capability could benefit if a drone’s effective range could be extended. Example missions include Search-And-Rescue (SAR) operations, a remote inspection of distant objects, or parcel delivery. There are numerous research works on multi-rotor drones (e.g., quadcopters), fixed-wing drones, VTOL quadplanes, or tilt-motor/tilt-wing VTOLs. We propose a unique compact VTOL UAV optimized for long hover and long-range missions with great lifting capacity and manoeuvrability: a tandem-wing quadplane with fixed motors only. To the best of our knowledge, such a drone has not yet been researched. The drone was designed, built, and tested in flight. Construction details, its advantages, and issues are discussed in this research.
17
Barkova, N. Yu, E. D. Deulina, M. A. Malysheva, D. P. Kirsanova, and O. A. Borodina. "Unmanned aerial vehicles: potential for use in the storage systems of industrial companies." Vestnik Universiteta, no. 5 (June 30, 2022): 44–52. http://dx.doi.org/10.26425/1816-4277-2022-5-44-52.
Full textAbstract:
In the article, the authors investigate the problem of using unmanned aerial vehicles (drones) in company warehouses and consider their use as one of the ways to optimize the logistics business processes of companies. Technologies are considered, on the basis of which modern unmanned aerial vehicles, drone models of various companies, the main functionality of drone’s work. The authors high-light the strengths and weaknesses of unmanned aerial vehicles, key factors determining the success of the use of drones, and favorable conditions for their use in warehouses. The authors are considering the possibility of sharing drones and RFID technology. Barriers to the active introduction of drones into the logistics business processes of warehousing systems and requirements for warehouse complexes planning the use of unmanned aerial objects have been identified. Promising areas of application of technology in warehouse logistics are also considered: creation of anti-theft and fire protection systems, using drones to read CIS marks. The authors used data from analytical reports and data collected by the authors themselves, as well as empirical research methods.
18
Amuta, E. O., H. E. Orovwode, E. U. Okoroji, and A. R. Attah. "Design and Implementation of A Solar-Powered Surveillance Drone." IOP Conference Series: Earth and Environmental Science 1492, no. 1 (April 1, 2025): 012027. https://doi.org/10.1088/1755-1315/1492/1/012027.
Full textAbstract:
Abstract Despite advances in drone design and battery capacity, drone flight time limitations have been a problem. Unmanned Aerial Vehicles (UAV) are a technology rapidly deployed for surveillance. Still, it has been seen that the duration of flight time can be challenging due to the discharging rate of the battery used in the drones. The study aims to design and implement a solar-powered surveillance drone that leverages renewable energy to continuously charge drones, ensuring uninterrupted flight without physical connections or human intervention to the drone system. The paper developed a solar-powered charging station that uses solar energy to charge the drone’s battery, deploying a Solar Photo voltaic panel, charge controller, and lithium battery. The system is an environmentally friendly and practical charging solution to drone technology. The research provides a revolutionary method that allows missions to continue unhindered and increases the possible uses for drones, thereby solving the persistent problem of drone flight duration limitations. Between take off and landing time, the constructed drone is able to maintain a time of flight of approximately ten minutes. Solar panels with high tracking devices to maximize sun exposure and sophisticated power management strategies reduce energy loss during conversion and storage to increase the efficiency of solar charging stations and wireless chargers, can be an area for further studies. The system can help farmers solve insecurity issues.
19
Ge, Changfeng, Kyle Dunno, Mukul Anand Singh, Long Yuan, and Li-Xin Lu. "Development of a Drone’s Vibration, Shock, and Atmospheric Profiles." Applied Sciences 11, no. 11 (June 2, 2021): 5176. http://dx.doi.org/10.3390/app11115176.
Full textAbstract:
Technological advances in unmanned aerial vehicles (UAVs) have made it possible to employ drone deliveries for packaged products, but currently no standards of practice are available to qualify packaged products traveling through this distribution channel. This research proposes a methodology to collect field data from a UAV to develop simulation techniques for use with package testing equipment. This project utilized data recorders to measure the vibration, shock, and atmospheric field data on two models of the DJI drones. The root mean square G value (Grms), the power spectral density (PSD), maximum G-values and shock response spectrum, and atmospheric data were reported in this study. The study found that the general shape of the PSD profile of the drones differed from the PSD air profiles of the aircraft. The overall recorded Grms levels of the drones were also significantly higher than those of the published air profile of the aircraft. Moreover, the study found that the drone’s in-flight vibration intensities in the horizontal level were consistently higher than those in the vertical direction. The major sources of vibration and shock in both drones’ models originated from the two-propeller rotations. Shocks recorded during the flight reached 14 G, took place in the horizontal plane with the drone accelerating as opposed to the vertical plane where the drone is landing.
20
Pham, Duc-Anh, and Seung-Hun Han. "Design of Combined Neural Network and Fuzzy Logic Controller for Marine Rescue Drone Trajectory-Tracking." Journal of Marine Science and Engineering 10, no. 11 (November 10, 2022): 1716. http://dx.doi.org/10.3390/jmse10111716.
Full textAbstract:
In recent years, the research on drones has increased rapidly because of its high applicability in many fields and its great development potential. In the maritime sector too, especially marine rescue, a Drone with a compact size and fast flight speed is an effective solution in search and surveillance, giving quick results and being very convenient. When operating at sea, marine rescue drones are often affected by the environment, especially wind, which leads to turbulence that causes the drone to deviate from its predetermined flight trajectory. To overcome the above problem, the author has proposed the application of a Neural-Fuzzy controller for unmanned marine rescue aircraft presented in this paper introduces a controller that combines neural networks and fuzzy controllers that enhance the efficiency of the drone’s trajectory tracking. The paper presents the mathematics of a quadcopter described by the Newton-Euler equations. Presentation on stable flight control and trajectory control of marine rescue drones. In this paper, Matlab/Simulink is used to describe the operation of the Drone, and the characteristics obtained after using the simulation are used to compare, test, and analyze the system. The obtained results show that the Neural-Fuzzy controller is much more sensitive, more resistant to turbulence, and can be used on different sizes, weights, and configurations of drones without adjusting PID gain.
21
Suzuki, Satoshi, and Kenzo Nonami. "Special Issue on Novel Technology of Autonomous Drone." Journal of Robotics and Mechatronics 33, no. 2 (April 20, 2021): 195. http://dx.doi.org/10.20965/jrm.2021.p0195.
Full textAbstract:
In the past three years, there has been rapid progress in the use of drones in society. Drones, which were previously used only experimentally in various industrial fields, are now being used in earnest in everyday operations. Drones are becoming indispensable tools in several industrial fields, such as surveying, inspection, and agriculture. At the same time, there has also been dramatic progress in autonomous drone technology. With the advancement of image processing, simultaneous localization and mapping (SLAM), and artificial intelligence technologies, many intelligent drones that apply these technologies are being researched. At the same time, our knowledge of multi-rotor helicopters, the main type of drones, has continued to deepen. As the strengths and weaknesses of multi-rotor helicopters have gradually become clearer, drones with alternate structures, such as flapping-wing drones, have come to attract renewed attention. In addition, the range of applications for drones, including passenger drones, has expanded greatly, and research on unprecedented drone operations, as well as research on systems and controls to ensure operational safety, is actively being conducted. This special issue contains the latest review, research papers, and development reports on autonomous drones classified as follows from the abovementioned perspectives. · Research on drone airframes and structures · Research on drone navigation and recognition with a focus on image processing · Research on advanced drone controls · Research and development of drone applications We hope that the readers will actively promote the use of drones in their own research and work, based on the information obtained from this special issue.
22
Baek, Il-Hong. "A Study on the Current Use and Applications of Drones in Police Activities." Korean Society of Private Security 21, no. 5 (December 30, 2022): 45–66. http://dx.doi.org/10.56603/jksps.2022.21.5.45.
Full textAbstract:
Through the 4th Industrial Revolution, it is required to provide administrative services in various directions by applying ICT technology in the public sector. Particularly noteworthy is that aircraft drones that can fly remotely and automatically without humans on board have high utilization value beyond the limits of manpower. In the public sector, it is actively used to rescue at accident and disaster sites and investigate the source of fire and to identify the damage situation in fire fighting. So, the drone's functions of 'mobility', 'accessibility', and 'extensive usability' have great effects, so it is expected to play a more role.
In police activities, drones are also used to search for missing persons who require rapid personal protection by utilizing the functions of drones. For this, a drone operation team has been formed, and basic laws necessary for the preparation and operation of drones suitable for search have been enacted. However, compared to the establishment of professional manpower and expensive technical equipment, the scope of use is limited to the search for missing persons, and this is also limited to effectively operate.
Considering various programs that can be combined with the aerial technology of the drone industry, which is continuously developing, the police should also discuss the value of active use in line with this.
To this end, this study examines the limitations of current operations and proposes ways to use drones in police activities through reading skills necessary to efficiently operate drones, countermeasures based on crime, technology using private experts, and positive security administration incorporated into local community policing.
23
Ezeji, Chiji Longinus, and B. Simon Mahlangu. "THE EVALUATION OF DRONE AND INTELLIGENCE LED POLICING TECHNOLOGIES IN COMBATING CRIMES IN NIGERIA AND SOUTH AFRICA." Caleb International Journal of Development Studies 05, no. 02 (December 3, 2022): 250–70. http://dx.doi.org/10.26772/cijds-2022-05-02-13.
Full textAbstract:
This paper focuses on the application of drones and intelligence-led policing technologies in combating crime in South Africa and Nigeria The qualitative methodology was used adopting focus group technique for data collection. Findings reveals that most countries have set specific rules for drone flights and few restrictions are imposed on their weight carrying capacity, drones pose novel and difficult problems for law enforcement, drones have been put to a host of nefarious uses, from smuggling contraband into prisons, criminals used drones to supply illegal products, illicit drugs, contraband goods, criminals use drone for illegal surveillances, drones are used by law enforcement agents for surveillance and raiding, drones are used to carry out surveillance and crime investigations, drones can be flown remotely by an operator far away from the crime scene and in some jurisdictions the use of drones are lightly regulated by legislation, consequently local and state authorities are restricted from intercepting drones in flight, potentially even when a crime is in progress. There is need for improvements of drone technology to enable its applications by the criminal justice and law enforcement for resolving crime problems, intelligence led policing strategies should be adopted in consonance with drone technology for swift justice in Nigeria and South Africa, need for government of both countries to regulate drone technology, need to upgrade current legislation regulating the application of drones in both countries.
24
Janavi, Koonamneni, and Ambarapu Rahitya Teja. "Robot Operating Systems (ROS): The Fundamentals of ROS and Its Remarkable Performances in the World of Drones." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 1844–49. http://dx.doi.org/10.22214/ijraset.2022.46938.
Full textAbstract:
Abstract: A structured communication mechanism is offered by the open-source operating system ROS. With the integration of its framework and toolkits, and a sophisticated operating system for software development, robot deployment is effective. The development of the unique robotic drone applications and a thorough description of how to program the drone using Ros are covered in this paper's brief discussion of the evolution of the Robot Operating System (Ros). Later in the article, the implementation of using a motion controller to control a drone's motion with basic hand motions is shown. However, there has been a significant increase in the commercial use of drones recently, and many drones have invaded public spaces, potentially invading people's right to privacy. To correct this mistake, we have used the ROS to deploy a drone that does not intrude in forbidden places.
25
Los, Andrii, and Oleksandr Veligorskyi. "ENERGY AND OPERATIONAL ANALYSIS OF CONTINUOUS SURVEILLANCE SYSTEMS BASED ON MULTIROTOR UAVS." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 3(21) (October 8, 2024): 39–51. https://doi.org/10.20998/2413-4295.2024.03.06.
Full textAbstract:
Drones are used in many applications, including continuous surveillance and monitoring. They can be used in cases, when the deployment time of surveillance system should be as fast as possible, or when a centralized electric grid is not available: accompanying fire extinguishing and liquidation of emergencies, 24/7 surveillance of the border area, monitoring of open-air events. They also can be used as stationary cameras, carrier of means of radio-electronic intelligence, weather conditions intelligence in airport areas, monitoring of crops, etc. The optimal solution for surveillance of large areas, such as critical infrastructure facilities (nuclear power plants, dams), and military facilities (field bases, ammunition warehouses), is the utilization of a group of drones when a single drone will observe his sector. The development of such systems and analysis of conditions for continuous surveillance taking into account the limitations of drone batteries require deep studies of drone energy consumption in various operation modes. The paper proposes a comprehensive investigation of operation modes of continuous surveillance systems, based on drones with electric-supplied propulsion systems, and optimization of its parameters. In the study, a comprehensive analysis of drones’ energy demands was done and conditions for continuous surveillance were found. Based on the parameters of DJI Mavic 2 Enterprise drone and with the use of regression analysis, the optimal flight profile was introduced, for which the maximal achievable distance to the observing point was calculated for the “ideal” case. The case of increasing the drone number for extension of achievable distance to the observation point was investigated and the optimal number of drones for each distance was found. A set of experiments with drone flights was conducted to update and improve the prediction of the drone’s energy consumption during the flight. Finally, the conclusion was set that external parameters, such as wind speed and direction, can significantly decrease the achievable distance to the observing point.
26
Nguyen, Dinh-Dung, Utku Kale, Muhammed Safa Baş, Munevver Ugur, Tahir Hikmet Karakoc, and Dániel Rohács. "Fundamental Elements of Drone Management Systems in Air Traffic Planning." Repüléstudományi Közlemények 35, no. 1 (November 24, 2023): 169–84. http://dx.doi.org/10.32560/rk.2023.1.13.
Full textAbstract:
Drones or Unmanned Aerial Systems (UAV – Unmanned Aerial Vehicles or UAS – UnmannedAerial Systems) are vehicles that can fly without the need for a pilot or passengers. Drones can be controlled remotely through radio waves or independently (with a previously determined route). The amount of documented accidents involving the hazardous use of drones has risensignificantly due to the increased usage of drones. To perform and increase the use of drones in air traffic management (ATM), especially in smart city planning, a variety of regulations andmanagement procedures will be implemented. This paper aims to propose management rules or regulations for drones in smart city transportation management and some approaches related to drone management and drone control. To present controlling approaches through the parameters in mathematical modelling for drones, we need a control rule, data gathering from the surroundings (usage of GIS), and a dynamic model of drones, and to present controlling and managing it with the help of a drone-following model based on a dynamic model of drones.
27
Mirzaeinia and Hassanalian. "Minimum-Cost Drone‒Nest Matching through the Kuhn‒Munkres Algorithm in Smart Cities: Energy Management and Efficiency Enhancement." Aerospace 6, no. 11 (November 17, 2019): 125. http://dx.doi.org/10.3390/aerospace6110125.
Full textAbstract:
The development of new concepts for smart cities and the application of drones in this area requires different architecture for the drones’ stations (nests) and their placement. Drones’ stations are designed to protect drones from hazards and utilize charging mechanisms such as solar cells to recharge them. Increasing the number of drones in smart cities makes it harder to find the optimum station for each drone to go to after performing its mission. In classic ordered technique, each drone returns to its preassigned station, which is shown to be not very efficient. Greedy and Kuhn‒Munkres (Hungarian) algorithms are used to match the drone to the best nesting station. Three different scenarios are investigated in this study; (1) drones with the same level of energy, (2) drones with different levels of energy, and (3) drones and stations with different levels of energy. The results show that an energy consumption reduction of 25‒80% can be achieved by applying the Kuhn‒Munkres and greedy algorithms in drone‒nest matching compared to preassigned stations. A graphical user interface is also designed to demonstrate drone‒station matching through the Kuhn‒Munkres and greedy algorithms.
28
Zaitseva, Elena, Vitaly Levashenko, Ravil Mukhamediev, Nicolae Brinzei, Andriy Kovalenko, and Adilkhan Symagulov. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis." Mathematics 11, no. 11 (June 1, 2023): 2551. http://dx.doi.org/10.3390/math11112551.
Full textAbstract:
Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies encompassing reliability analysis of drones and swarms (fleets) of drones are important. As shown in this paper, the analysis of drone reliability and its components is considered in studies often. Reliability analysis of drone swarms is investigated less often, despite the fact that many applications cannot be performed by a single drone and require the involvement of several drones. In this paper, a systematic review of the reliability analysis of drone swarms is proposed. Based on this review, a new method for the analysis and quantification of the topological aspects of drone swarms is considered. In particular, this method allows for the computing of swarm availability and importance measures. Importance measures in reliability analysis are used for system maintenance and to indicate the components (drones) whose fault has the most impact on the system failure. Structural and Birnbaum importance measures are introduced for drone swarms’ components. These indices are defined for the following topologies: a homogenous irredundant drone fleet, a homogenous hot stable redundant drone fleet, a heterogeneous irredundant drone fleet, and a heterogeneous hot stable redundant drone fleet.
29
Hornain, Imran Mohd, and Nik Fadzly N. Rosely. "Evaluating drones as bird deterrents in industrial environments: multirotor vs fixed-wing efficacy." Bulletin of Electrical Engineering and Informatics 13, no. 6 (December 1, 2024): 3960–67. http://dx.doi.org/10.11591/eei.v13i6.7359.
Full textAbstract:
Unmanned aerial vehicles (UAVs) or drones have been proposed as deterrent tools to mitigate pest birds’ problems. Many studies have been conducted to evaluate the efficacy of drones, mainly to protect crops, fishponds and airports. Little information can be acquired on using drones in industrial areas. In this study, two types of drones, categorized as multirotor drones and fixed-wing drones, were used to evaluate their efficacy in reducing pest birds, Asian glossy starling (Aplonis panayensis) flocks in one of the semiconductor factories in Kulim Hi-tech Park, Kedah, Malaysia during dusk. Each drone was evaluated during its five minutes of operation time and five minutes after landing. Control data were also taken to compare drone treatment days with no drone treatment days. Our result shows a significant difference between multirotor drone treatment and control treatment but not between fixed-wing drone treatment and control treatment due to different altitudes applied, ambient light intensity and size of flight path covered. We suggest implementing biomimetic design into drones and applying other conventional ground deterrents to prolong the residual effect of post-treatment.
30
Anderson, Karen, Brandi M. Shabaga, Serge Wich, Geoff Fink, Martin Barczyk, Jarrod Hodgson, and Dominique Chabot. "New topic horizons for drone systems and applications." Drone Systems and Applications 11 (January 1, 2023): 1–7. http://dx.doi.org/10.1139/dsa-2023-0019.
Full textAbstract:
Summary This journal (Drone Systems and Applications; DSA) conducted a targeted “horizon scan” during 2022 within our team of editors and associate editors. We asked— Which research areas currently under-represented in Drone Systems and Applications would you like to see more heavily represented in the future? The process highlighted five areas of interest and potential growth: Drones in the geosciences Aquatic drones Ground drones Drones within calibration/validation experiments Drones and computer vision Over the past two years (2020–22), the journal has published over 50 papers with a strong leaning towards aerial drones for ecology and also with an engineering focus. DSA is keen to receive new submissions addressing the five highlighted areas, which lie firmly within the aims and scope of the journal. Further to the horizon scan, we propose two special collections for the coming year—one addressing drone applications ( drones in geoscience applications) and a second addressing drone systems ( aquatic drone systems). We would like to hear from scientists and practitioners in these fields as both contributors and (or) collection editors.
31
Yin, Tung. "Game of Drones." Texas A&M Law Review 2, no. 4 (January 2015): 635–73. http://dx.doi.org/10.37419/lr.v2.i4.3.
Full textAbstract:
This Article considers the threat posed by drone terrorism and the technological and legal issues involved in setting up defensive responses. First, the Article provides an overview of current drone technology, legal views on weaponized military drones, and a discussion of the potential appeal of drones as vehicles for terrorism. Next, it discusses the current laws and regulations pertaining to private drones. The Article then lays out the three challenges to defending against drone terrorism: detecting potentially hostile drones, identifying them, and destroying or neutralizing them. Finally, it closes with some proposals to begin to develop the legal and technological architecture to defend against drone terrorism.
32
Huang, Chenn-Jung, Kai-Wen Hu, Hao-Wen Cheng, and Yi-Sin Sie Lin. "A Mission-Oriented Flight Path and Charging Mechanism for Internet of Drones." Sensors 23, no. 9 (April 25, 2023): 4269. http://dx.doi.org/10.3390/s23094269.
Full textAbstract:
In addition to traditional battery exchange services and stationary charging stations, researchers have proposed wireless charging technology, such as decentralized laser charging or drone-to-drone charging in flight, to provide power to drones with insufficient battery electricity. However, the charging methods presented in the literature will inevitably cause drones to wait in line for charging during peak hours and disrupt their scheduled trips when the number of drones grows rapidly in the future. To the best of our knowledge, there have been no integrated solutions for drone flight path and charging planning to alleviate charging congestion, taking into account the different mission characteristics of drones and the charging cost considerations of drone operators. Accordingly, this paper provides adaptive charging options to help drone operators to solve the above-mentioned problems. Drones on ordinary missions can use conventional battery swap services, wired charging stations, or electromagnetic wireless charging stations to recharge their batteries as usual, whereas drones on time-critical missions can choose drone-to-drone wireless charging or decentralized laser charging deployed along the fight paths to charge the batteries of drones in flight. Notably, since fixed-wing drones have larger wing areas to install solar panels, they can also use solar energy to charge during flight if the weather is clear. The simulation results exhibited that the proposed work reduced the power load of the power grid during peak hours, met the charging needs of each individual drone during flight, and cut down the charging costs of drone operators. As a result, an all-win situation for drone operators, drone customers, and power grid operators was achieved.
33
PEMČÁK (ivan.pemcak@unob.cz), Ivan, Teodor BALÁŽ (teodor.balaz@unob.cz), Michał JASZTAL (michal.jasztal@wat.edu.pl), and Mateusz KUNIKOWSKI (mateusz.kunikowski@wat.edu.pl). "Theoretical Vulnerability Analysis of Individual Components of Class I – Micro Drone Against Small Arms Fire." Problems of Mechatronics Armament Aviation Safety Engineering 15, no. 4 (December 30, 2024): 9–26. https://doi.org/10.5604/01.3001.0054.9122.
Full textAbstract:
This article is a continuation of a series of publications dealing with defence against Class I UAVs. Previous publications concerned the capabilities and range of detecting drones [1, 2], as well as experimental research on the effectiveness of using shotguns to defend against UAVs and the impact of such weapons on selected drone elements [3-5]. This paper examines the hit probability of individual drone components depending on the drone’s orientation in space. This work aims to theoretically determine the probability of disabling a drone with a single hit from an assault rifle. Due to its widespread use, the DJI Mavic 2 drone was chosen as an example for study. The theoretical knowledge and assumptions are elaborated in this thesis. One of the novelties in relation to previous works is the presentation in this article of the possibility of increasing the survivability of drones on the battlefield. Practical verification of the modelled data is the subject of further study and experiments.
34
Megawati Citra Alam, Satriya Bayu Aji, Puri Dwi Purwanti, and Edy Kustiani. "Inovasi Pertanian dalam Penyemprotan Pestisida dengan Drone untuk Tanaman yang Sehat dan Aman di Area Persawahan Desa Musir Lor Kecamaan Rejoso Kabupaten Nganjuk." JATIMAS : Jurnal Pertanian dan Pengabdian Masyarakat 3, no. 2 (November 29, 2023): 143–51. http://dx.doi.org/10.30737/jatimas.v3i2.5127.
Full textAbstract:
Counseling in Musi Lor Village, Rejoso District, Nganjuk Regency, regarding the use of drones in agriculture has shown significant results in increasing the efficiency of agricultural processes. Using drones in fertilizing and exterminating pests replaces conventional methods, providing benefits in time efficiency, reduced labor, technological education, and spraying accuracy. Time efficiency can be seen with the drone's ability to spray ten minutes per hectare, reaching four hectares per hour, far exceeding manual methods. Reducing the workforce also contributes to lower operational costs. In addition, technology education and adaptation to the latest innovations are significant added values. However, there are several disadvantages, such as high initial costs and the effect of wind on spraying accuracy. The survey of training participants' satisfaction results showed that 75% agreed with the effectiveness of drones as the main tool in agriculture. Meanwhile, 60% believe that using drones can reduce labor costs. A positive response was also given to using village funds to procure agricultural drones, considering the adequacy of funds in Musi Lor Village. Despite obstacles such as high initial costs and environmental factors, such as wind, agricultural drones offer a long-term solution with efficiency and accuracy benefits. The reliability, durability and adaptability of drone technology were the main factors when considering the adoption of this technology in the agricultural sector Penyuluhan di Desa Musi Lor, Kecamatan Rejoso, Kabupaten Nganjuk, mengenai penggunaan drone dalam pertanian telah menunjukkan hasil yang signifikan dalam meningkatkan efisiensi proses pertanian. Penggunaan drone dalam pemupukan dan pembasmian hama menggantikan metode konvensional, memberikan keuntungan berupa efisiensi waktu, pengurangan tenaga kerja, edukasi teknologi, dan akurasi penyemprotan. Efisiensi waktu terlihat dengan kemampuan drone menyemprot sepuluh menit per hektar, mencapai empat hektar per jam, jauh melebihi metode manual. Pengurangan tenaga kerja juga berkontribusi pada penurunan biaya operasional. Selain itu, pendidikan teknologi dan adaptasi terhadap inovasi terbaru menjadi nilai tambah signifikan. Namun, terdapat beberapa kekurangan, seperti biaya awal yang tinggi dan pengaruh angin terhadap akurasi penyemprotan. Hasil survei kepuasan peserta pelatihan menunjukkan bahwa 75% setuju dengan efektivitas drone sebagai alat utama dalam pertanian. Sementara itu, 60% percaya bahwa penggunaan drone dapat mengurangi biaya tenaga kerja. Tanggapan positif juga diberikan terhadap penggunaan dana desa untuk pengadaan drone pertanian, mengingat kecukupan dana Desa Musi Lor. Meskipun terdapat hambatan seperti biaya awal yang tinggi dan faktor lingkungan, seperti angin, drone pertanian menawarkan solusi jangka panjang dengan manfaat efisiensi dan akurasi. Keandalan, durabilitas, dan kemampuan adaptasi teknologi drone menjadi faktor utama dalam pertimbangan adopsi teknologi ini di sektor pertanian
35
Hussein, Mohammed, Abdullah Qays Taher, Mohammed Jasim Mohammed, Alaan Ghazi, Abdullah Mohammed Awad, Sharmeen Izzat Hassan, Haider Mahmood Jawad, Marwa Saad Mahdi Hussin, and Bektur A. Azimov. "Enhancing Drone Stability in Adverse Weather Conditions: A Novel MySQL-Based Approach for Balancing UAVs in Rain." Radioelectronics. Nanosystems. Information Technologies. 16, no. 5 (September 6, 2024): 629–42. http://dx.doi.org/10.17725/j.rensit.2024.16.629.
Full textAbstract:
Background: Unmanned Aerial Vehicles (UAVs) can potentially transform several sectors, notably last-mile delivery. Despite its potential, their implementation in real-world situations, particularly in severe weather like rain, must be improved with route optimisation and stability issues. Objective: This study aims to provide a fresh approach to the issues that drones confront in wet weather using unique MySQL code designed to improve drone performance in such environments. Methods: A customised algorithm based on the Vehicle Routing Problem (VRP) was specially adapted for drone delivery. It considers battery life, payload weight, and estimated delivery timeframes. This algorithm aims to alter the drone's path under wet circumstances to maintain balance, preserve energy, and reduce the possibility of delivery failure. Results: Using MySQL custom code for drones may bring several advantages. It may not only increase battery life by guaranteeing appropriate routing, but it may also shorten delivery times and prevent cases of lost or damaged items due to weather. Delivery efficiency may be significantly improved. Conclusion: Incorporating bespoke MySQL code provides a viable option for addressing the inherent issues that drones confront in damp situations. This technology allows for more dependable and effective drone deliveries, even in less-than-ideal weather circumstances, by optimising routes and assuring stability.
36
Abdallah, Shalaw M. "Converting a DJI Tello Quadcopter into a Face-follower Machine Using the Haar Cascade with PID Controller." Cihan University-Erbil Scientific Journal 7, no. 2 (December 20, 2023): 54–59. http://dx.doi.org/10.24086/cuesj.v7n2y2023.pp54-59.
Full textAbstract:
Drones have been frequently used for photography in recent years at significantly cheaper rates. However, the most modern drones are exceedingly error-prone and require precise manual control to take high-quality photos or films. We suggest using the AI method of Haar cascades with a PID controller to give drones vision, enabling them to do autonomous tracking and detection. This project aims to improve photography fields. The proposed system tries to detect the face and track the person's movements. This system will help photographers and journalists upgrade their work, even if it is used in surveillance and the military. The algorithm's results show that the DJI Tello tiny drone's camera is capable of detecting and tracking faces. The micro drone was picked since it is lightweight and compact, making its use safe and enabling testing to take place inside. Additionally, the DJI Tello may be easily programmed using Python. The position of the drone is contrasted with the set point in the center of the image to identify errors, allowing control signals for calculating forward/backwards, right/left, and yaw movements. The proposed system results show that the drone can detect and track the face very well, and the PID values are stable.
37
Wang, Yang, Huichuan Xia, Yaxing Yao, and Yun Huang. "Flying Eyes and Hidden Controllers: A Qualitative Study of People’s Privacy Perceptions of Civilian Drones in The US." Proceedings on Privacy Enhancing Technologies 2016, no. 3 (July 1, 2016): 172–90. http://dx.doi.org/10.1515/popets-2016-0022.
Full textAbstract:
Abstract Drones are unmanned aircraft controlled remotely or operated autonomously. While the extant literature suggests that drones can in principle invade people’s privacy, little is known about how people actually think about drones. Drawing from a series of in-depth interviews conducted in the United States, we provide a novel and rich account of people’s privacy perceptions of drones for civilian uses both in general and under specific usage scenarios. Our informants raised both physical and information privacy issues against government, organization and individual use of drones. Informants’ reasoning about the acceptance of drone use was in part based on whether the drone is operating in a public or private space. However, our informants differed significantly in their definitions of public and private spaces. While our informants’ privacy concerns such as surveillance, data collection and sharing have been raised for other tracking technologies such as camera phones and closed-circuit television (CCTV), our interviews highlight two heightened issues of drones: (1) powerful yet inconspicuous data collection, (2) hidden and inaccessible drone controllers. These two aspects of drones render some of people’s existing privacy practices futile (e.g., notice recording and ask controllers to stop or delete the recording). Some informants demanded notifications of drones near them and expected drone controllers asking for their explicit permissions before recording. We discuss implications for future privacy-enhancing drone designs.
38
Chiwariro, Ronald, Martin Muduva, and Austin Makate. "An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (January 31, 2024): 253–60. http://dx.doi.org/10.22214/ijraset.2024.57886.
Full textAbstract:
Abstract: Smart cities are comprised of intelligent objects that can collectively and automatically improve living standards, preserve lives, and function as a sustainable environment. Drones or Unmanned aerial vehicles (UAV), robotics, cognitive computing, and the Internet of Things (IoT) are mandatory to enhance the intellectual ability of smart cities by enhancing connectivity, energy efficiency, and Quality of Signal (QoS). Consequently, the integration of drones with IoT plays a crucial part in enabling a vast array of smart-city applications. Drones are undeniably the technology of the future. They glide in the air, keeping an eye on things in their metropolis. They do not need human control or operation. They capture data based on visuals and sounds by employing a variety of sensors, webcams, and mics, and then transfer it to a gateway for processing and retrieving information. Drones will let us gather vast volumes of data for processing, while also enhancing the intelligence of smart cities. The drone's signal is vulnerable to absorption, refraction, diffraction, and attenuation. Therefore, it is essential to predict the signal from the drone. This study presents an intelligent method using Deep Learning to predict the signal strength for enhancing network connectivity and delivering the desired QoS of IoTs and drone integration. This enables effective data transmission, boosts QoS for end-users/devices, and reduces data transmission power consumption.
39
Ma, Wenlei, Siyu Li, Hao Ren, Shiyu Liu, Mengting Chen, Ying Wang, and Pu Jing. "Research and Design of VR Based Unmanned Aerial Vehicle Model and Database." International Journal for Innovation Education and Research 11, no. 5 (May 9, 2023): 58–64. http://dx.doi.org/10.31686/ijier.vol11.iss5.4120.
Full textAbstract:
In response to the application of drones in real life, drones are more susceptible to interference and influence from various external factors such as weather, site, airspace, etc. during flight operations or related tasks. Not only can they not guarantee the completion of expected goals or tasks, but they are also prone to problems such as falling, collision, or accidental injury caused by the unstable state of drones. The drone flight simulation, virtual training, and drone database system developed based on VR technology has improved the safety, diversity, and instability of drones in practical applications, and reduced the interference of external adverse factors on drone flight. A comprehensive drone model database system has been established. This provides effective guarantees for the application and implementation of drones in various fields.
40
Lee, Woonghee, Joon Lee, Jiyeon Lee, Kangho Kim, Seungho Yoo, Seongjoon Park, and Hwangnam Kim. "Ground Control System Based Routing for Reliable and Efficient Multi-Drone Control System." Applied Sciences 8, no. 11 (October 23, 2018): 2027. http://dx.doi.org/10.3390/app8112027.
Full textAbstract:
Various unmanned aerial vehicles (UAVs), also called drones, have developed based on advances in hardware and software technologies. Thus, service providers in diverse areas have tried to utilize drones to create more effective solutions. In many cases, employing multiple drones is more effective to perform the given mission than using a single drone. To utilize multiple drones, the drones should be strongly connected, but it is not trivial to construct reliable and efficient networks for drones due to their high mobility. Therefore, we propose a ground control system (GCS) routing protocol (GCS-routing) to overcome this limitation and provide reliable and efficient multi-drone control system, where GCS-routing maximizes GCS utilization. GCS is the essential component of flying ad-hoc network (FANET) and can obtain information about drones. Using this information, GCS-routing can provide more effective routing, predict any topology changes, and react immediately. GCS-routing does not issue any periodic HELLO message for neighbor discovery or link cost estimation, which significantly enhances network performance. We implemented GCS-routing on real drones, and applied GCS-routing to actual drone fleets, as well as simulations to evaluate GCS-routing performance. The results clearly identify the advantages of the proposed routing protocol for drone networks compared with current routing protocols.
41
Muliadi, Muliadi, Sugianto Sugianto, and Muhammad Rusdi. "Penggunaan Drone Untuk Pemetaan Kebun Kelapa Sawit (Studi Kasus: Kebun Kelapa Sawit Rakyat Desa Blang Kuta, Kecamatan Peudawa Rayeuk)." Jurnal Ilmiah Mahasiswa Pertanian 9, no. 3 (August 30, 2024): 347–54. https://doi.org/10.17969/jimfp.v9i3.31548.
Full textAbstract:
Abstrak. Drone merupakan teknologi foto udara yang sangat membantu bagi perkebunan kelapa sawit, foto udara dari drone bersifat rael time karena dapat dioperasikan kapan saja. Penggunaan drone dalam perkebunan kelapa sawit sangat mempermudah petani dalam manajemen tanaman kelapa sawit. Hasil dari foto udara drone dapat dimanfaatkan untuk mengukur luas lahan, menghitung jumlah tanaman kelapa sawit (tree counting) serta untuk melihat kesehatan tanaman kelapa sawit. Penelitian ini dilakukan dengan menggunakan drone DJI Phantom 3 Advance, dengan teknik pengambilan manual. Luas kebun yang dipetakan adalah 4 ha, dengan waktu terbang kurang lebih 9 menit, ketinggian terbang drone 80 meter diatas permukaan tanah, menghasilkan foto udara sebanyak 77 Foto. Hasil mozaik foto udara menghasilkan citra udara dengan resolusi 2,9 cm perpixel. Hasil perhitungan tanaman kelapa sawit pada areal kebun berjumlah 456 tanaman kelapa sawit.Use Of Drones for Mapping Palm Plantations (Case Study: People's Palm Oil Plantation In Blang Kuta Village, Peudawa Rayeuk District)Abstract. Drones are an aerial photography technology that is very helpful for oil palm plantations. Aerial photos from drones are real time because they can be operated at any time. The use of drones in oil palm plantations makes it very easy for farmers to manage oil palm plants. The results of drone aerial photography can be used to measure land area, count the number of oil palm plants (tree counting) and to see the health of oil palm plants. This research was carried out using a DJI Phantom 3 Advance drone, with manual retrieval techniques. The area of the garden mapped is 4 ha, with a flight time of approximately 9 minutes, the drone's flying height is 80 meters above ground level, producing 77 aerial photos. The results of the aerial photo mosaic produce aerial images with a resolution of 2.9 cm per pixel. The results of the calculation of oil palm plants in the plantation area amounted to 456 oil palm plants.
42
DODU, Petru-Eduart. "MAINTENANCE ASPECTS OF UKRAINIAN DRONES." Strategic Impact 91, no. 2 (October 9, 2024): 112–29. http://dx.doi.org/10.53477/1842-9904-24-12.
Full textAbstract:
Drones become part of our life, having a huge impact on it. What was beyond our imagination yesterday, becomes true today and will be even better tomorrow. Nowadays, with the help of drones we are able to detect in agriculture the parcels that require herbicides and fertilizer, develop researches in the atmosphere, monitor pollution and dangerous areas, have a better reconnaissance of the domestic infrastructure or obtain an easier victory in conflicts. The purpose of this paper is to briefly analyze the maintenance required by drone systems - going through a short history of drones, their evolution and classification, their use in the ongoing Russian-Ukrainian conflict as well as the key aspects of their maintenance process. This article aims to provide a concise analysis of the maintenance needs for drone systems. It will cover the drone’s brief history, classification and evolution, use in the ongoing Russian-Ukrainian conflict, and important maintenance procedures. Unmanned aerial vehicles have a very small tendency to be maintained in the same way as conventional aircraft (only by qualified aircraft maintenance personnel guided by complete maintenance procedures) due to differences in the personnel, equipment to be maintained, practices, and technical documentation, especially in a combat environment. In fact, untrained operators or maintainers without prior training in aviation maintenance constitute even the staff engaged.
43
Wadhwa, Shivani, Divya Gupta, Shalli Rani, Maha Driss, and Wadii Boulila. "Empowering drones in vehicular network through fog computing and blockchain technology." PLOS ONE 20, no. 1 (January 24, 2025): e0314420. https://doi.org/10.1371/journal.pone.0314420.
Full textAbstract:
The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems. Despite the increasing demand for drone flying automation, there is a significant absence of a comprehensive drone network service architecture tailored for secure and efficient operations of drones. This research paper addresses this gap by proposing a safe, reliable, and real-time drone network service architecture, emphasizing collaboration with fog computing. The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. The proposed algorithm dynamically plans drone trajectories and optimizes computation offloading. Results from simulations demonstrate the effectiveness of the proposed architecture, showcasing reduced average response latency and improved throughput, particularly when accessing resources from fog nodes. Furthermore, the model evaluates blockchain consensus algorithms (PoW, PoS, DAG) and recommends DAG for superior performance in handling IoT data. Fog; Drones; Blockchain; PSO; IoT; Vehicular.
44
Tajima, Yuya, Takefumi Hiraguri, Takahiro Matsuda, Tetsuro Imai, Jiro Hirokawa, Hiroyuki Shimizu, Tomotaka Kimura, and Kazuki Maruta. "Analysis of Wind Effect on Drone Relay Communications." Drones 7, no. 3 (March 7, 2023): 182. http://dx.doi.org/10.3390/drones7030182.
Full textAbstract:
In this study, we realized a relay network using drones and analyzed the impact of the sway angle of a drone’s attitude on communication in a windy flight environment. Drones in flight act as radio relay stations and communication among them is performed using radio equipment mounted on board. In a windy environment, a directional antenna is used for relay communication among them to avoid interference caused by the spread of radio waves in space and extend the relay distance. However, when wind occurs during flight, the flying attitude of the drone inclines, which causes the beam of the antenna to sway and the communication link to be disconnected, leading to a decrease in the transmission speed. In this study, we statistically evaluated the pitch, yaw, and roll axes of a drone through wind tunnel experiments. Furthermore, the pattern of the swing angle of the drone with respect to the wind speed was investigated using computer simulations to analyze the fluid dynamics and theoretically analyze the swing of the drone. Based on these results, the transmission speed when using a directional antenna was calculated. When the wind speed was 6.0 m/s, the pitch axis deflection angle of the drone was 13∘ at maximum, and the average transmission speed decreased by 33.3 Mbps. In this study, it was found that in communication between drones due to the wind, the transmission efficiency decreased depending on the sway angle of the aircraft.
45
Muhamad, Aidil, Seno Darmawan Panjaitan, and Redi Ratiandi Yacoub. "DESIGN AND DEVELOPMENT OF FLIGHT CONTROLLER FOR QUADCOPTER DRONE CONTROL." Telecommunications, Computers, and Electricals Engineering Journal 1, no. 3 (February 10, 2024): 279. http://dx.doi.org/10.26418/telectrical.v1i3.73681.
Full textAbstract:
UAV (Unmanned Aerial Vehicle), also commonly called drone, is a flying robot technology that can be controlled remotely and can also fly autonomously based on the mission given by the operator. Drones are usually used for various purposes such as package delivery, watering plants, land mapping, natural disaster monitoring, photography, videography and others. Drones have many types, one of which is a drone with four motors as the main drive, commonly called a quadcopter drone. Quadcopter drones have evolved a lot based on current needs. Although quadcopter drones have many uses, the development of quadcopter drone research in Indonesia is quite slow, one of the quadcopter drone components whose development is quite slow is the flight controller. Flight controller (FC) is a main controller brain in drones that has complex functions in quadcopter drone control. The function of the FC is to regulate motor speed, stabilize and maintain altitude. In this research, FC is designed to control the stability of quadcopter drones while flying. This FC was developed by applying LoRa technology as an internal receiver. LoRa technology is used to receive control data from the remote control (RC) and simultaneously send sensor data. The purpose of this research is to design FC to improve local products in the field of technology and participate in the development of flying robot technology, especially on quadcopter drones and to determine the performance of LoRa technology after being integrated as an internal transceiver in FC for remote control of quadcopter drones.
46
Patil, Yash Anil. "Drone Technology and it’s Application." International Scientific Journal of Engineering and Management 03, no. 05 (May 25, 2024): 1–9. http://dx.doi.org/10.55041/isjem01851.
Full textAbstract:
Drones were first used by the military, but now they're not just for the army – they're for regular folks too. People started using them in the 2000s, and they're not just for serious stuff like analyzing power system faults. Now, we call them drones, and they're like flying robots. You can use them for all kinds of fun things like taking cool pictures, exploring hard-to- reach places, and even joining drone competitions. They've become a big deal on social media and in business competitions. Lately, smart people are working on making tiny drones that can fly by themselves, especially in indoor spaces. The good news is that the parts that make drones work, like tiny computers, sensors, batteries, and ways for them to talk wirelessly, are getting smaller and cheaper. So, soon, we might see small drones everywhere, doing all sorts of stuff in our daily lives at prices we can all afford. But, as drones become more popular, there are some worries. Imagine if someone used a drone to spy on you in your private space – that's not cool! And when drones fly in busy places like cities and airports, there could be problems. That's why we need rules and checks to make sure things don't go wrong. So, while drones are super cool and fun, we also need to make sure everyone stays safe and feels secure. Keywords--Unmanned Aerial Vehicle, Drone, Drone Features, Technology, Drone usage fields.
47
Lynskey, Jared, Kyi Thar, Thant Oo, and Choong Hong. "Facility Location Problem Approach for Distributed Drones." Symmetry 11, no. 1 (January 20, 2019): 118. http://dx.doi.org/10.3390/sym11010118.
Full textAbstract:
Currently, industry and academia are undergoing an evolution in developing the next generation of drone applications. Including the development of autonomous drones that can carry out tasks without the assistance of a human operator. In spite of this, there are still problems left unanswered related to the placement of drone take-off, landing and charging areas. Future policies by governments and aviation agencies are inevitably going to restrict the operational area where drones can take-off and land. Hence, there is a need to develop a system to manage landing and take-off areas for drones. Additionally, we proposed this approach due to the lack of justification for the initial location of drones in current research. Therefore, to provide a foundation for future research, we give a justified reason that allows predetermined location of drones with the use of drone ports. Furthermore, we propose an algorithm to optimally place these drone ports to minimize the average distance drones must travel based on a set of potential drone port locations and tasks generated in a given area. Our approach is derived from the Facility Location problem which produces an efficient near optimal solution to place drone ports that reduces the overall drone energy consumption. Secondly, we apply various traveling salesman algorithms to determine the shortest route the drone must travel to visit all the tasks.
48
Alturki, Nazik, Turki Aljrees, Muhammad Umer, Abid Ishaq, Shtwai Alsubai, Oumaima Saidani, Sirojiddin Djuraev, and Imran Ashraf. "An Intelligent Framework for Cyber–Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection." Sensors 23, no. 16 (August 14, 2023): 7154. http://dx.doi.org/10.3390/s23167154.
Full textAbstract:
The small-drone technology domain is the outcome of a breakthrough in technological advancement for drones. The Internet of Things (IoT) is used by drones to provide inter-location services for navigation. But, due to issues related to their architecture and design, drones are not immune to threats related to security and privacy. Establishing a secure and reliable network is essential to obtaining optimal performance from drones. While small drones offer promising avenues for growth in civil and defense industries, they are prone to attacks on safety, security, and privacy. The current architecture of small drones necessitates modifications to their data transformation and privacy mechanisms to align with domain requirements. This research paper investigates the latest trends in safety, security, and privacy related to drones, and the Internet of Drones (IoD), highlighting the importance of secure drone networks that are impervious to interceptions and intrusions. To mitigate cyber-security threats, the proposed framework incorporates intelligent machine learning models into the design and structure of IoT-aided drones, rendering adaptable and secure technology. Furthermore, in this work, a new dataset is constructed, a merged dataset comprising a drone dataset and two benchmark datasets. The proposed strategy outperforms the previous algorithms and achieves 99.89% accuracy on the drone dataset and 91.64% on the merged dataset. Overall, this intelligent framework gives a potential approach to improving the security and resilience of cyber–physical satellite systems, and IoT-aided aerial vehicle systems, addressing the rising security challenges in an interconnected world.
49
Tovarnov, M. S., N. V. Bykov, N. S. Vlasova, V. A. Fedulov, and A. A. Pozharsky. "Computer simulation of the physical neutralization of drones in a Smart City." Journal of Physics: Conference Series 2308, no. 1 (July 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2308/1/012003.
Full textAbstract:
Abstract We present a simple computer simulation model for the interaction of automatic guns with unarmed drones. Each drone is represented as a rigid body that consists of several simple bodies such as parallelepipeds, ellipsoids, etc. The simplified spatial trajectory of the drone is constructed using third-order Bezier curves. A relatively large group of unconnected drones may be simulated in a computationally fast way using this method. Automatic guns are agents that are shooting at drones with a single of burst fire relative to the ideal aiming point. We performed a simulation of the flight of several drones against several automatic guns for different conditions. As a result of this simulation, the spatial distribution of the drone hit probabilities, the special distribution of the fraction of defeated drones depending on the number of guns, and the influence of urban obstacles on the fraction of drones defeated are presented.
50
Choi, Jong Min, and Hui Young Hwang. "A Exploratory Analysis on the Concept and Issue of 'Regulatory Void': Focusing on the Drone Sector." Crisis and Emergency Management: Theory and Praxis 12, no. 8 (August 31, 2022): 9–15. http://dx.doi.org/10.14251/jscm.2022.8.9.
Full textAbstract:
The purpose of this study is to examine the current situation of regulatory void and related major issues. For this purpose, this study scrutinizes the actual situation of regulatory void in the drone industry by using legal analysis and literature research methods. The results are as follows: First, compared to the technology development of drones, the issue of regulatory void in the commercial use was found to be more prominent. Compared to the past, as the weight and control qualifications of drones were eased, the technology development of drones has been further promoted. On the other hand, in commercial use of drones such as drone taxis, leisure drones, and drone delivery services, there are many issues to be solved along with the various legal absence. Second, it was found that the regulatory void of drones requires revision of various laws. There was a gap in regulations related to actual commercial applications. The results of this study suggest that new standards need to be established to meet the growing demand in the drone industry.