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Journal articles on the topic 'Sensor of power impact efficiency'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Dave, Devangini, Swapnil Parikh, Pratik Patel, and Syed Shah Sultan Mohiuddin Qadri. "Location Based Power Reduction Cloud Integrated Social Sensor Network." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 364–75. http://dx.doi.org/10.17762/ijritcc.v11i9.8398.

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It is great to hear about the advancements in wireless sensor networks and their applications, as well as the integration of cloud computing to enhance data analysis and storage capabilities. Indeed, these technologies have opened up numerous possibilities across various fields, including infrastructure tracking, environmental monitoring, healthcare, and more. The concept of a social sensor cloud, as you mentioned, brings an interesting dimension to this technology landscape by focusing on knowledge-sharing and connecting like-minded individuals or organizations. This could potentially lead to

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2

Buratto, William Gouvêa, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, and Gabriel Villarrubia Gonzalez. "A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation." Sensors 24, no. 3 (2024): 967. http://dx.doi.org/10.3390/s24030967.

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This review delves into the critical role of automation and sensor technologies in optimizing parameters for thermal treatments within electrical power generation. The demand for efficient and sustainable power generation has led to a significant reliance on thermal treatments in power plants. However, ensuring precise control over these treatments remains challenging, necessitating the integration of advanced automation and sensor systems. This paper evaluates the pivotal aspects of automation, emphasizing its capacity to streamline operations, enhance safety, and optimize energy efficiency i

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Neubüser, C., T. Corradino, S. Mattiazzo, and L. Pancheri. "Impact of X-ray induced radiation damage on FD-MAPS of the ARCADIA project." Journal of Instrumentation 17, no. 01 (2022): C01035. http://dx.doi.org/10.1088/1748-0221/17/01/c01035.

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Abstract Recent advancements in Monolithic Active Pixel Sensors (MAPS) demonstrated the ability to operate in high radiation environments of up to multiple kGy’s, which increased their appeal as sensors for high-energy physics detectors. The most recent example in such application is the new ALICE inner tracking system, entirely instrumented with CMOS MAPS, that covers an area of about 10 m2. However, the full potential of such devices has not yet been fully exploited, especially in respect of the size of the active area, power consumption, and timing capabilities. The ARCADIA project is devel

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Wang, Yichen, and Wenwen Xu. "Statistical Delay QoS Provisioning for Energy-Efficient Spectrum-Sharing Based Wireless Ad Hoc Sensor Networks." Journal of Sensors 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/6545791.

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In this paper, we develop the statistical delay quality-of-service (QoS) provisioning framework for the energy-efficient spectrum-sharing based wireless ad hoc sensor network (WAHSN), which is characterized by thedelay-bound violation probability. Based on the established delay QoS provisioning framework, we formulate the nonconvex optimization problem which aims at maximizing the average energy efficiency of the sensor node in the WAHSN while meeting PU’s statistical delay QoS requirement as well as satisfying sensor node’s average transmission rate, average transmitting power, and peak trans

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Shang, Xiaohui, Hao Yin, Yida Wang, Mu Li, and Yong Wang. "Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold." Sensors 20, no. 6 (2020): 1632. http://dx.doi.org/10.3390/s20061632.

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In this paper, we investigate the impact of saturation nonlinear energy harvesting (EH) and activation threshold on the multiuser wireless powered sensor networks (WPSNs) from the physical layer security (PLS) perspective. In particular, for improving the secrecy performance, the generalized multiuser scheduling (GMS) scheme is exploited, in which the Kth strongest sensor is chosen based on the legitimate link. For evaluating the impact of various key parameters on the security of system, we obtain the exact closed-form expressions for secrecy outage probability (SOP) under linear EH (LEH), sa

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Agrawal, Er Nishant. "Single Axis Solar Tracking System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2434–39. https://doi.org/10.22214/ijraset.2025.70639.

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This paper presents a comprehensive review of single-axis solar tracking systems, analyzing their impact on photovoltaic efficiency. By examining various tracking mechanisms, including sensor-based and preprogrammed control strategies, the study highlights advancements in tracking accuracy, energy optimization, and system reliability. A comparative analysis with fixed-panel systems underscores the efficiency gains and practical challenges associated with single-axis tracking. The review further explores improvements in motor control, sensor integration, and power management, providing insights

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Raghavendra, Sharma *1. "STUDY OF WIRELESS SENSOR NETWORKS." International Journal of Engineering Technologies and Management Research 5, no. 2 (SE) (2018): 319–27. https://doi.org/10.5281/zenodo.1247489.

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Wireless Sensor Networks (WSN), consist of thousands or even more sensor nodes deployed either inside the phenomenon or very close to it depending upon the application. These sensor nodes are capable of sensing, actuating, and relaying the collected data, which have made a remarkable impact globally. The collected data by the sensing device must be gathered and transmitted to a base station where it is again processed for further end-user queries. Since the network consists of low-cost nodes with limited battery power, power management must be implemented for data gathering and processing in o

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Feng, Jie, Hai-Chuan Wang, Kun-Fang Li, Yu-Dong Li, Lin Wen та Qi Guo. "Impact of γ Irradiation Damage to CMOS Image Sensor on Camera Signal-To-Noise Ratio". Journal of Nanoelectronics and Optoelectronics 18, № 7 (2023): 776–81. http://dx.doi.org/10.1166/jno.2023.3459.

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The industrial operation of nuclear power plant under the strong radiation environment requires the detection of environmental visual information by the camera mounted on the nuclear robot. CMOS Image Sensor, as the core component of camera, will be affected by γ-ray radiation when working in nuclear radiation environment, which will degrade photoelectric sensitive parameters and bring in visual noise, embodied in a decrease of signal-to-noise ratio of the camera. This study carried out the experiments of CMOS Image Sensor and camera system under γ-ray irradiation, analyzed the degradation mec

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Hazrina, Fadhillah, Inu Yuni Erawati, Galih Mustiko Aji, and Devi Taufiq Nurrohman. "Design of Power Factor Monitoring System Based on Android Application." Andalas Journal of Electrical and Electronic Engineering Technology 3, no. 2 (2023): 64–70. http://dx.doi.org/10.25077/ajeeet.v3i2.62.

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Electrical energy is an essential resource for human needs. The prolific utilization of electrical devices accounts for high energy consumption patterns. Resistive and inductive loads characterize conventional electrical equipment. In practice, the properties of electrical loads impact energy demand and system efficiency. Thus, power factor correction presents a viable strategy to improve electrical energy efficiency. This research aims to develop an Internet of Things-integrated power factor monitoring system. When connected to Wi-Fi, the system employs a PZEM-004T sensor to monitor current,

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Dwivedi, Rajendra Kumar, and Rakesh Kumar. "An Energy and Fault Aware Mechanism of Wireless Sensor Networks Using Multiple Mobile Agents." International Journal of Distributed Systems and Technologies 11, no. 3 (2020): 22–41. http://dx.doi.org/10.4018/ijdst.2020070102.

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Wireless sensor networks find several applications in hard-to-reach areas. As sensors have limited battery power, many energy aware protocols based on negotiation, clustering, and agents have been developed to increase lifetime of the network. This article finds limitation with some multi-agent-based protocols as they place the sink node at the centre of the monitoring region which is quite difficult in hard-to-reach areas. Therefore, a multi-agent-based energy and fault-aware protocol for hard-to-reach territories (MAHT) is proposed which uses technique of impact factor to identify the high p

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Filios, Gabriel, Ioannis Katsidimas, Sotiris Nikoletseas, and Ioannis Tsenempis. "A Smart Energy Harvesting Platform for Wireless Sensor Network Applications." Information 10, no. 11 (2019): 345. http://dx.doi.org/10.3390/info10110345.

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Advances in micro-electro-mechanical systems (MEMS) as well as the solutions for power scavenging can now provide feasible alternatives in a variety of applications. Wireless sensor networks (WSN), which operate on rechargeable batteries, could be based on a fresh basis which aims both at environmental power collection and wireless charging in various shapes and scales. Consequently, a potential illimitable energy supply can override the hypothesis of the limited energy budget (which can also impact the system’s efficiency). The presented platform is able to efficiently power a low power IoT s

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Baqer, Naseem Kadhim, Yahya Jasim Harbi, and Heba Abdul-Jaleel Al-Asady. "Impact of Delay in ZigBee WSNs for Smart Home Applications." Journal of Engineering Research and Reports 26, no. 8 (2024): 372–80. http://dx.doi.org/10.9734/jerr/2024/v26i81252.

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A smart home is a comprehensive integration system that employs technologies such as computers, structured wiring and network communication to interconnect indoor subsystems, home appliances and electrical devices. WSNs play a crucial role in the functionality of smart homes. In this study, the IEEE 802.15.4/ ZigBee wireless communication standard was applied. Compared to other wireless communication standards, it offers a number of benefits, such as low battery and power consumption. Delays in ZigBee-based WSNs used in smart homes can be attributed to various factors, including network config

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Olope, Olumide Innocent, Taiwo Abdulahi Akintayo, Fakokunde Babatunde David, and Kalu Henrietta Chiamaka. "Real-Time Monitoring and Control with Wireless Sensor and Actuator Technology." Journal of Multidisciplinary Science: MIKAILALSYS 2, no. 3 (2024): 429–41. http://dx.doi.org/10.58578/mikailalsys.v2i3.3841.

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This paper explores the implementation of a smart monitoring system within a wireless sensor network, with a particular emphasis on developing a robust routing framework using the Routing Protocol for Low-power and Lossy Networks (RPL). This protocol, is designed to address the unique challenges of low-power and lossy environments. Our approach involves using a streamlined version of the Representational State Transfer (REST) architecture, implemented through a binary web service. This setup minimizes overhead and maximizes efficiency, which is critical for resource-constrained networks. Addit

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Ramli, Aizat Faiz, Muhammad Ikram Shabry, Mohd Azlan Abu, and Hafiz Basarudin. "A Study on the Impact of Nodes Density on the Energy Consumption of LoRa." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 14 (2021): 157. http://dx.doi.org/10.3991/ijim.v15i14.19825.

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LoRaWAN is one of the leading Low power wide area network (LPWAN) LPWAN technologies that compete for the formation of big scale Internet of Things (IoT). It uses LoRa protocol to achieve long range, low bit rate and low power communication. Large scale LoRaWAN based IoT deployments can consist of battery powered sensor nodes. Therefore, the energy consumption and efficiency of these nodes are crucial factors that can influence the lifetime of the network. However, there is no coherent experimental based research which identifies the factors that influence the LoRa energy efficiency at various

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Lee, Jae-Cheol, You-Rak Choi, Doyeob Yeo, and Sangook Moon. "Low-Power Wireless Sensor Module for Machine Learning-Based Continuous Monitoring of Nuclear Power Plants." Sensors 24, no. 13 (2024): 4209. http://dx.doi.org/10.3390/s24134209.

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This paper introduces the novel design and implementation of a low-power wireless monitoring system designed for nuclear power plants, aiming to enhance safety and operational efficiency. By utilizing advanced signal-processing techniques and energy-efficient technologies, the system supports real-time, continuous monitoring without the need for frequent battery replacements. This addresses the high costs and risks associated with traditional wired monitoring methods. The system focuses on acoustic and ultrasonic analysis, capturing sound using microphones and processing these signals through

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Zhong , Liang, Shizhong Zhang , Yidu Zhang , Guang Chen , and Yong Liu . "Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids." Energies 14, no. 22 (2021): 7756. http://dx.doi.org/10.3390/en14227756.

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Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor ass

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Kamal, Zainab, Dr. Riyadh A. Abbas, and Dr. Manaf H. Kadhum. "A Review of Energy Harvesting Techniques for Self-Powered IoT Devices." Wasit Journal of Engineering Sciences 12, no. 4 (2024): 133–45. https://doi.org/10.31185/ejuow.vol12.iss4.599.

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The Internet of Things (IoT) manages a vast network of interconnected smart devices that collect, transmit, and analyze data from their environment using embedded components like processors, sensors, and communication equipment. These devices, which require efficient power sources, often rely on batteries that limit their operational lifespan and increase environmental impact. This paper provides a comprehensive review of energy harvesting techniques aimed at enhancing the longevity and sustainability of IoT devices. The methodology involves a comparative analysis of various energy harvesting

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Pat-Cetina, Josué, Alejandro Pech-Escamilla, Teresita Chi-Pech, Halbert Eduardo Contreras-Villegas, and Daniel Visairo-Méndez. "Machine learning in wireless sensor network applications: a short narrative review." Journal of Artificial Intelligence and Computing Applications 2, no. 1 (2024): 1–6. https://doi.org/10.5281/zenodo.14165597.

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This review explores the applications of Machine Learning in Wireless Sensor Networks, emphasizing its impact on various aspects such as routing, security, energy efficiency, speed, and quality. Its purpose is to bring attention to the most significant aspects and commonly employed applications of Machine Learning in Wireless Sensor networks for new and future research endeavors. The implications involved in obtaining 10 selected from 340 articles were the identification of specific articles, the screeening filtered by titles and abstracts and the Eligibility of the evaluated articles.The resu

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Eidaks, Janis, Romans Kusnins, Ruslans Babajans, Darja Cirjulina, Janis Semenjako, and Anna Litvinenko. "Efficient Multi-Hop Wireless Power Transfer for the Indoor Environment." Sensors 23, no. 17 (2023): 7367. http://dx.doi.org/10.3390/s23177367.

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With the rapid development of the Internet of Things (IoT) and wireless sensor networks (WSN), the modern world requires advanced solutions for the wireless powering of low-power autonomous devices. The present study addresses the wireless power transfer (WPT) efficiency problem by exploiting a multi-hop concept-based technique to increase the received power at the end sensor node (ESN). The current work adopts efficient multi-hop technology from the communications field to examine its impact on WPT performance. The investigation involves power transfer modeling and experimental measurements i

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Fabre, William, Karim Haroun, Vincent Lorrain, Maria Lepecq, and Gilles Sicard. "From Near-Sensor to In-Sensor: A State-of-the-Art Review of Embedded AI Vision Systems." Sensors 24, no. 16 (2024): 5446. http://dx.doi.org/10.3390/s24165446.

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In modern cyber-physical systems, the integration of AI into vision pipelines is now a standard practice for applications ranging from autonomous vehicles to mobile devices. Traditional AI integration often relies on cloud-based processing, which faces challenges such as data access bottlenecks, increased latency, and high power consumption. This article reviews embedded AI vision systems, examining the diverse landscape of near-sensor and in-sensor processing architectures that incorporate convolutional neural networks. We begin with a comprehensive analysis of the critical characteristics an

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Mateen, Abdul, Muhammad Awais, Nadeem Javaid, Farruh Ishmanov, Muhammad Afzal, and Saqib Kazmi. "Geographic and Opportunistic Recovery with Depth and Power Transmission Adjustment for Energy-Efficiency and Void Hole Alleviation in UWSNs." Sensors 19, no. 3 (2019): 709. http://dx.doi.org/10.3390/s19030709.

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Underwater Wireless Sensor Networks (UWSNs) are promising and emerging frameworks having a wide range of applications. The underwater sensor deployment is beneficial; however, some factors limit the performance of the network, i.e., less reliability, high end-to-end delay and maximum energy dissipation. The provisioning of the aforementioned factors has become a challenging task for the research community. In UWSNs, battery consumption is inevitable and has a direct impact on the performance of the network. Most of the time energy dissipates due to the creation of void holes and imbalanced net

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Dr., Chandra Prakash Sigar. "ADVANCEMENT IN FARM MACHINERIES AND POWER ENGINEERING IN AGRICULTURE." International Journal of Current Pharmaceutical Review and Research 13, no. 4 (2021): 32–37. https://doi.org/10.5281/zenodo.12666969.

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Advancements in farm machinery and power engineering have revolutionized the agricultureindustry, leading to increased efficiency, productivity, and sustainability in farming practices.Precision farming techniques, such as the use of GPS, sensors, and satellite imagery, enableprecise application of fertilizers, pesticides, and water, resulting in improved crop yields andreduced environmental impact. Autonomous vehicles, including self-driving tractors andharvesters, have reduced labor costs and increased operational efficiency. Drones equippedwith cameras and sensors provide valuable data for

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Cheng, Yulun, Longxiang Yang, and Hongbo Zhu. "Optimal Distributed Detection for Complex Field Network Coding Assisted Wireless Sensor Networks with Nonorthogonal Communications." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9758780.

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Complex field network coding (CFNC) enables signal transmission and information fusion to be operated over nonorthogonal channels, which essentially improves both the bandwidth efficiency and transmission reliability of the wireless sensor networks (WSNs). This paper investigates the power allocation for the CFNC assisted WSNs. By improving the accuracy of the approximation for Q function, the closed-form expression of the pairwise error probability bound for the considered network is derived, so as to improve the optimization efficiency of the power allocation. On the basis of the expression,

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Wang, Jun Qiang, and Jing Wu. "An Improved Frequency Agility Mechanism for SimpliciTI Protocol." Applied Mechanics and Materials 543-547 (March 2014): 3486–89. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3486.

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The rapid growth of application for low-cost, low power sensor nodes based on WSN brings its own challenges. SimpliciTI is a simple low-power RF network protocol that with open Source, flexibility, and low-cost, short development cycle and so on. Aiming at the blindness problem of channel migration when this specific frequency is noisy, We presented PSCP-FA(periodic synchronism and channel prediction Frequency agility) which accomplish the channel agility predictable. Furthermore, we evaluated the impact of energy of efficiency compared with S-MAC and FA. Our simulation results show that PSCP-

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Siagian, Ade Onny, and Trisna Fajar Prasetyo. "KETERKAITAN PERBANDINGAN KINERJA PANEL SURYA DALAM SITUASI LINGKUNGAN TERTENTU DENGAN MEMANFAATKAN SIRKUIT SENSOR." Akrab Juara : Jurnal Ilmu-ilmu Sosial 7, no. 4 (2022): 73. http://dx.doi.org/10.58487/akrabjuara.v7i4.1937.

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This research is to find out solar panels produce electric current depending on the intensity of sunlight. In addition, temperature, humidity and other environmental parameters affect the energy conversion process. Commercial solar panels are widely available in the market. The price depends on the selling capacity of diesel as well as the materials that determine the performance of the power plant. This paper compares monocrystalline and polycrystalline solar panels using a sensor circuit. The impact of environmental parameters on solar panels is also assessed. The results show that monocryst

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Vinodkumar Devarajan. "Revolutionizing Energy Management: The Impact of AI and Machine Learning Technologies." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 327–33. https://doi.org/10.32996/jcsts.2025.7.3.37.

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The integration of Artificial Intelligence and Machine Learning technologies is revolutionizing the energy sector by transforming energy optimization, predictive maintenance, and smart grid management. From advanced demand forecasting to dynamic pricing mechanisms, these technologies enable sophisticated control and monitoring of power distribution networks. The implementation of predictive maintenance systems with sensor analytics and anomaly detection frameworks has enhanced equipment reliability and operational efficiency. Smart grid management through AI-driven optimization and edge comput

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Tareq, Abdulla Al, Md Juel Rana, Md Riad Mostofa, and Md Sadiqur Rahman. "Impact of IoT and Embedded System on Semiconductor Industry A Case Study." Control Systems and Optimization Letters 2, no. 2 (2024): 211–16. http://dx.doi.org/10.59247/csol.v2i2.111.

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The fast growth of Internet of Things (IoT) devices and advances in embedded systems are causing major changes in the semiconductor business. Examining major trends, obstacles, and opportunities, this case study investigates how embedded systems, and the Internet of Things are affecting the semiconductor business. It explores how semiconductor technology has developed to satisfy the needs of Internet of Things applications, focusing on connectivity options, low-power design, and sensor integration. The report examines how technological advancements, competitive tactics, and market dynamics are

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Alwesabi, Fawaz Ahmed Ali, Ali Saleh Aziz, Mohamad Shukor Abdul Rahim, et al. "Fundamental study on the impacts of water-cooling and accumulated dust on photovoltaic module performance." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 4 (2022): 2421. http://dx.doi.org/10.11591/ijpeds.v13.i4.pp2421-2431.

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<span>Photovoltaic (PV) modules have been becoming well-spread recently as alternative clean energy sources to traditional energy sources due to their efficiency and sustainability benefits. This paper applied various water temperatures and artificial dust levels to a couple of monocrystalline PV modules under outdoor conditions to observe their performance. Two different IV tracers were connected separately to each module for comparison purposes. Two temperature sensors were installed at the back of the panels to observe the cell temperatures. Besides, a temperature sensor was specified

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Rehman, A. Ur, Laura Galluccio, and Giacomo Morabito. "AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks." Sensors 25, no. 12 (2025): 3729. https://doi.org/10.3390/s25123729.

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Underwater acoustic sensor networks, crucial for marine monitoring, face significant challenges, including limited bandwidth, high delay, and severe energy constraints. Addressing these limitations requires an energy-efficient design to ensure network survivability, reliability, and reduced operational costs. This paper proposes an artificial intelligence-driven framework aimed at enhancing energy efficiency and sustainability in applications of marine wildlife monitoring in underwater sensor networks, according to the vision of implementing an underwater acoustic sensor network. The framework

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Luo, Chuanwen, Linyuan Hui, Zikun Shang, et al. "Portable Arduino-Based Multi-Sensor Device (SBEDAD): Measuring the Built Environment in Street Cycling Spaces." Sensors 24, no. 10 (2024): 3096. http://dx.doi.org/10.3390/s24103096.

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The built environment’s impact on human activities has been a hot issue in urban research. Compared to motorized spaces, the built environment of pedestrian and cycling street spaces dramatically influences people’s travel experience and travel mode choice. The streets’ built environment data play a vital role in urban design and management. However, the multi-source, heterogeneous, and massive data acquisition methods and tools for the built environment have become obstacles for urban design and management. To better realize the data acquisition and for deeper understanding of the urban built

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Pugalenthi, Aruna M., Khaoula Khlie, and Fathima Hassan Ahmed. "Harnessing the power of biomimicry for sustainable innovation in construction industry." Journal of Infrastructure, Policy and Development 8, no. 10 (2024): 6663. http://dx.doi.org/10.24294/jipd.v8i10.6663.

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Biomimicry is increasingly being used to drive sustainable constructional development in recent years. By emulating the designs and processes of nature, biomimicry offers a wealth of opportunities to create innovative and environmentally friendly solutions. Biomimicry in industrial development: versatile applications, advantages in construction. The text emphasizes the contribution of bio-mimetic technologies to sustainability and resilience in structural design, material selection, energy efficiency, and sensor technology. Aside from addressing technical constraints and ethical concerns, we a

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Borovik, Sergey, and Yuriy Sekisov. "Single-Coil Eddy Current Sensors and Their Application for Monitoring the Dangerous States of Gas-Turbine Engines." Sensors 20, no. 7 (2020): 2107. http://dx.doi.org/10.3390/s20072107.

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The creation and exploitation of gas turbine engines (GTE) often involve two mutually exclusive tasks related to ensuring the highest reliability while achieving a good economic and environmental performance of the power plant. The value of the radial clearance between the blade tips of the compressor or turbine and the stator is a parameter that has a significant impact on the efficiency and safety of the GTE. However, the radial displacements that form tip clearances are only one of the components of the displacements made by GTE elements due to the action of power loads and thermal deformat

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Khairunnusya, Aqilla, Khairunnusa, and Siska Merinda. "SENSOR SOIL MOISTURE UNTUK PENYIRAMAN TANAMAN DALAM MENGHADAPI VARIABILITAS CUACA." JURNAL TELISKA 17, no. 3 (2024): 15–21. https://doi.org/10.5281/zenodo.10886526.

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<em>The instability of weather conditions marked by extreme temperature fluctuations and irregular rainfall patterns significantly impacts agriculture, causing issues of drought or excessive soil moisture. An automated system capable of continuously measuring soil moisture and providing precise plant irrigation is essential. However, energy efficiency remains a primary challenge. Innovations in automatic irrigation technology are crucial, focusing on developing systems efficient in soil moisture measurement and energy usage. Integrating advanced, energy-efficient sensors presents an intriguing

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Wijeratne, Lakitha O. H., Daniel Kiv, John Waczak, et al. "The Design and Deployment of a Self-Powered, LoRaWAN-Based IoT Environment Sensor Ensemble for Integrated Air Quality Sensing and Simulation." Air 3, no. 1 (2025): 9. https://doi.org/10.3390/air3010009.

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The goal of this study is to describe a design architecture for a self-powered IoT (Internet of Things) sensor network that is currently being deployed at various locations throughout the Dallas-Fort Worth metroplex to measure and report on Particulate Matter (PM) concentrations. This system leverages diverse low-cost PM sensors, enhanced by machine learning for sensor calibration, with LoRaWAN connectivity for long-range data transmission. Sensors are GPS-enabled, allowing precise geospatial mapping of collected data, which can be integrated with urban air quality forecasting models and opera

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Wang, Jie, Xi Li, Zhen Wang, Jiangtao Feng, Weixun Lin, and Jingxuan Peng. "Research on Application Characteristics of Zirconia-Based High-Temperature NOx Sensors." Energies 15, no. 8 (2022): 2919. http://dx.doi.org/10.3390/en15082919.

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The zirconia solid electrolyte SOFC (solid oxide fuel cell) has the characteristics of oxygen ion conduction function, high-temperature resistance, thermoelectric coupling effect, etc. A NOx sensor based on zirconia solid electrolyte has common characteristics and problems with the SOFC in principle and application. The research objective of this paper is to solve the application problems of smart NOx sensors in diesel vehicles or gasoline vehicles. Improvements in the application performance of the NOx sensor can help the NOx emissions of gasoline vehicles or diesel vehicles better meet the r

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Muhammad, Ahmad Baballe. "A review on the Impact of Solar Power Energy." Global Journal of Research in Engineering & Computer Sciences 1, no. 1 (2021): 28–34. https://doi.org/10.5281/zenodo.5701335.

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Solar energy is a clean source of energy that has a much lower environmental effect than conventional forms of energy. Solar energy has been an increase in a wider range of applications. Numerous research has been made on the use of photovoltaic (PV) cells in accumulating the solar radiations from the sky and converting it to electrical energy especially if the solar trackers are used. A solar tracker is a machine that is designed as a mounting for photovoltaic (PV) panels so that they track the sun in such a way that the panels are perpendicular at all times to its rays, thereby increasing en

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Mongardi, Andrea, Fabio Rossi, Andrea Prestia, Paolo Motto Ros, and Danilo Demarchi. "A Fast and Low-Impact Embedded Orientation Correction Algorithm for Hand Gesture Recognition Armbands." Sensors 25, no. 7 (2025): 2188. https://doi.org/10.3390/s25072188.

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Hand gesture recognition is a prominent topic in the recent literature, with surface ElectroMyoGraphy (sEMG) recognized as a key method for wearable Human–Machine Interfaces (HMIs). However, sensor placement still significantly impacts systems performance. This study addresses sensor displacement by introducing a fast and low-impact orientation correction algorithm for sEMG-based HMI armbands. The algorithm includes a calibration phase to estimate armband orientation and real-time data correction, requiring only two distinct hand gestures in terms of sEMG activation. This ensures hardware and

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Bui, The Huy, Balamurugan Thangavel, Mirkomil Sharipov, Kuangcai Chen, and Joong Ho Shin. "Smartphone-Based Portable Bio-Chemical Sensors: Exploring Recent Advancements." Chemosensors 11, no. 9 (2023): 468. http://dx.doi.org/10.3390/chemosensors11090468.

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Traditionally, analytical chemistry and diagnosis relied on wet laboratories and skilled professionals utilizing sophisticated instruments for sample handling and analysis. However, with the development of novel materials and sensing techniques, there has been a significant shift towards the use of standalone sensors, allowing tests to be conducted on-site or even in real time, leading to cost- and time-efficiency. With their widespread adoption globally, smartphones have emerged as an ideal platform for such sensors, boasting extensive sensor capabilities, advanced processing power, and commu

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Fantoni, Alessandro, João Costa, Paulo Lourenço, and Manuela Vieira. "Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality." European Physical Journal Applied Physics 90, no. 3 (2020): 30502. http://dx.doi.org/10.1051/epjap/2020190250.

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Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting th

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Helena, Nbéu Nkula Manuel, Musa Kehinde Husseini, Paul Agupugo Chijioke, and Cestina Nkula Manuel Adélia. "The impact of AI on boosting renewable energy utilization and visual power plant efficiency in contemporary construction." World Journal of Advanced Research and Reviews 23, no. 2 (2024): 1333–48. https://doi.org/10.5281/zenodo.14855746.

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The integration of Artificial Intelligence (AI) in the renewable energy sector has revolutionized the efficiency and utilization of renewable energy sources in contemporary construction, significantly impacting visual power plant operations. AI technologies, including machine learning and predictive analytics, optimize energy production, enhance system performance, and streamline maintenance processes, thereby driving the adoption and efficiency of renewable energy systems. AI-powered predictive maintenance tools analyze vast amounts of data from renewable energy installations, such as solar p

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Abessolo Mindzie, Yves, Joseph Kenfack, Brice Ekobo Akoa, et al. "Enhancing Solar Panels Efficiency: The Impact of Robotic Cleaning and Optimal Trajectory Tracking in the Presence of Disturbances Using Model Reference Adaptive Control." Jurnal Elektronika dan Telekomunikasi 24, no. 2 (2024): 137. https://doi.org/10.55981/jet.645.

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The output power of photovoltaic systems (PV) can be significantly reduced by dust accumulation. Among various cleaning methods, robotic cleaning is currently the most popular choice because it minimizes human effort and reduces the risk of damaging PV cells. However cleaning robots can be impacted by various external disturbances, including wind, rain, lightning, snow, , and vibrations. Additionally, sensor errors related to slip, position, velocity, acceleration, and varying electrical parameters can also affect their performance.Several methods have been proposed in the literature for track

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Mohd Nabil Iqbal Ahmad, Aznida Abu Bakar Sajak, and Hassan Dao. "Green IoT Based on Tropical Weather: The Impact of Energy Harvesting in Wireless Sensor Network." Journal of Advanced Research in Applied Sciences and Engineering Technology 40, no. 1 (2024): 35–44. http://dx.doi.org/10.37934/araset.40.1.3544.

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Wireless Sensor Networks (WSNs) are a key component of Green IoT, as they play a critical role in many applications. However, a major challenge faced by WSNs is their limited energy capacity, which can impede their effectiveness. To address this issue, energy harvesting techniques are used to harness ambient energy and power the nodes, eliminating the need for frequent battery replacements or recharging. This study proposes a solar energy harvesting technique to prolong the lifespan of each wireless sensor node in a network. The aim of the research is to assess the impact of energy harvesting

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Kumar V.,, Shiva, Rajashree V. Biradar, and V. C. Patil. "An Energy Efficient Cross-Layer Cluster based Multipath Routing Protocol for WSN." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (December 9, 2022): 489–97. http://dx.doi.org/10.37394/23203.2022.17.54.

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Wireless sensor networks are the most widely used technologies with a wide range of applications and data collection processes. WSN is the major component for real-time data collection at various places where human intervention is difficult. With so many features, advantages, and impact WSN have some major challenges and hurdles, and these challenges the performance of the WSN is reducing and affecting the application part. This paper discusses the impact of WSN, and why WSN is gaining so much impact in recent days from a business perspective. A detailed survey and analysis made on the major c

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Bhaumik Machhi. "Implementation and Iterative Analysis of LEACH and Its Variants in UWSN Protocols." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 186–92. https://doi.org/10.52783/jisem.v10i33s.5468.

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The LEACH protocol is widely used for analysing and simulating underwater wireless sensor networks (UWSNs). This paper examines the impact of varying parameter values in the LEACH protocol and presents simulation results. The findings indicate that commonly used parameters are applicable only to specific network environments. Underwater wireless sensor networks (UWSNs) have gained significant research attention due to their diverse applications. These networks consist of numerous small sensor nodes powered by self-charged batteries. While some nodes allow battery replacement, others operate in

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Nandi, Arnab, and Sumit Kundu. "Energy Efficient Packet Data Service in Wireless Sensor Network in Presence of Rayleigh Fading." International Journal of Grid and High Performance Computing 3, no. 3 (2011): 31–44. http://dx.doi.org/10.4018/jghpc.2011070103.

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Energy level performances of three packet delivery schemes in Wireless Sensor Networks (WSN) are evaluated in presence of Rayleigh fading. Three different information delivery mechanisms are investigated using regenerative relays with or without error correction capability. Energy consumption for successful delivery of a data packet for each mechanism is evaluated and compared under several conditions of node density, bit rate, transmit power, and channel fading. Energy efficiencies of different retransmission schemes are also evaluated. Further, an optimal packet length based on energy effici

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Ms., Khushboo Yadav, and Mahesh Sharma Prof. "Performance Analysis of Wireless Sensor Network in Smart Grid Environment." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1222–26. https://doi.org/10.5281/zenodo.3590623.

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Wireless Sensor Networks WSNs is a strong candidate for smart grid applications, such as advanced metering infrastructure, demand response management, dynamic pricing, load control, electricity fraud detection, fault diagnostics, substation monitoring and control as well as automation of various elements of the power grid. The realization of these applications directly depends on efficiency of communication facilities among power grid elements. However, the harsh power grid environmental conditions with obstacles, noise, interference, and fading pose great challenges to reliability of these fa

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Mirzabayeva, Khusnigul. "Remote Measurement and Energy Performance Evaluation of Solar Photovoltaic Panels." International Journal of Advance Scientific Research 5, no. 5 (2025): 62–75. https://doi.org/10.37547/ijasr-05-05-08.

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The development and implementation of remote measurement technologies for photovoltaic (PV) panels play a crucial role in optimizing their performance and efficiency. This study focuses on designing and developing an electronic device for remotely measuring and evaluating the energy parameters of solar photovoltaic panels. The proposed system aims to enhance the accuracy and reliability of PV panel monitoring by integrating advanced sensor technologies and wireless communication protocols. The device measures key parameters such as voltage, current, power output, and temperature while transmit

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Mishra, Reeta. "Advancements in Flexible Electronics for Wearable Health Monitoring Devices." International Journal of Research in Modern Engineering & Emerging Technology 10, no. 12 (2022): 18–24. https://doi.org/10.63345/ijrmeet.org.v10.i12.3.

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This manuscript explores the recent advancements in flexible electronics, focusing on wearable health monitoring devices that enable continuous and non-intrusive monitoring of physiological parameters. The development of flexible and stretchable electronic systems has paved the way for real-time health monitoring solutions that integrate seamlessly into daily life. Wearable health technologies, such as smartwatches, patches, and smart textiles, leverage the power of flexible electronics to measure vital signs including heart rate, blood pressure, glucose levels, and body temperature. This pape

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Barchi, Francesco, Luca Zanatta, Emanuele Parisi, et al. "Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring." Future Internet 13, no. 8 (2021): 219. http://dx.doi.org/10.3390/fi13080219.

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In this work, we present an innovative approach for damage detection of infrastructures on-edge devices, exploiting a brain-inspired algorithm. The proposed solution exploits recurrent spiking neural networks (LSNNs), which are emerging for their theoretical energy efficiency and compactness, to recognise damage conditions by processing data from low-cost accelerometers (MEMS) directly on the sensor node. We focus on designing an efficient coding of MEMS data to optimise SNN execution on a low-power microcontroller. We characterised and profiled LSNN performance and energy consumption on a har

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Li, Jun, and Hong Hao. "Damage Detection of Shear Connectors Based on Power Spectral Density Transmissibility." Key Engineering Materials 569-570 (July 2013): 1241–48. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.1241.

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Damage of shear connectors in slab-on-girder structures will result in shear slippage between slab and girder, which significantly reduces the load-carrying capacity of the bridge. This paper proposes a dynamic damage detection approach to identify the damage of shear connectors in slab-on-girder bridges with power spectral density transmissibility (PSDT). PSDT formulates the relationship between the auto-spectral density functions of two responses. Measured impact force and acceleration responses from hammer tests are analyzed to obtain the frequency response functions at the slab and girder

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