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Journal articles on the topic 'Air-target detection'

Author: Grafiati

Published: 22 February 2023

Last updated: 31 July 2025

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1

Tian, Zhongmin, Fei Yang, and Donghong Qin. "An Improved New YOLOv7 Algorithm for Detecting Building Air Conditioner External Units from Street View Images." Sensors 23, no. 22 (2023): 9118. http://dx.doi.org/10.3390/s23229118.

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Street view images are emerging as new street-level sources of urban environmental information. Accurate detection and quantification of urban air conditioners is crucial for evaluating the resilience of urban residential areas to heat wave disasters and formulating effective disaster prevention policies. Utilizing street view image data to predict the spatial coverage of urban air conditioners offers a simple and effective solution. However, detecting and accurately counting air conditioners in complex street-view environments remains challenging. This study introduced 3D parameter-free atten

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Hao, Hexiang, Yueping Peng, Zecong Ye, et al. "A High Performance Air-to-Air Unmanned Aerial Vehicle Target Detection Model." Drones 9, no. 2 (2025): 154. https://doi.org/10.3390/drones9020154.

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In the air-to-air UAV target detection tasks, the existing algorithms suffer from low precision, low recall and high dependence on device processing power, which makes it difficult to detect UAV small targets efficiently. To solve the above problems, this paper proposes an high-precision model, ATA-YOLOv8. In this paper, we analyze the problem of UAV small target detection from the perspective of the efficient receptive field. The proposed model is evaluated using two air-to-air UAV image datasets, MOT-FLY and Det-Fly, and compared with YOLOv8n and other SOTA algorithms. The experimental resul

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Brown, J., K. Woodbridge, A. Stove, and S. Watts. "Air target detection using airborne passive bistatic radar." Electronics Letters 46, no. 20 (2010): 1396. http://dx.doi.org/10.1049/el.2010.1732.

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4

Zheng, Lu, Tongtong Zhou, Yueping Peng, and Zecong Ye. "Infrared target detection method using adaptive feature fusion." Journal of Physics: Conference Series 2290, no. 1 (2022): 012081. http://dx.doi.org/10.1088/1742-6596/2290/1/012081.

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Abstract As the key technology of low altitude airspace security and air attack, vision-based air target detection has better concealment and lower cost compared with radar, radio and other detection methods. Based on yolov3, this paper proposes an air infrared target detection algorithm using adaptive feature fusion, which can effectively improve the accuracy of air infrared multi-scale target detection. Firstly, the construction of air infrared target detection data set is completed, and the target characteristics in the data set are statistically analysed. Secondly, the output layer of back

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Kim, Tae-Hyung, Sung-Won Lee, June-Hyune Park, Myoung-Il Kang, and Hang-Soo Lee. "Waveform Design for Air-to-Air Long-Range Target Detection of Fighter Radar." Journal of Korean Institute of Electromagnetic Engineering and Science 35, no. 9 (2024): 715–20. http://dx.doi.org/10.5515/kjkiees.2024.35.9.715.

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6

Dong, Xiaona, Huilin Jiang, Yansong Song, and Keyan Dong. "Precision Detection of Infrared Small Target in Ground-to-Air Scene." Remote Sensing 16, no. 22 (2024): 4230. http://dx.doi.org/10.3390/rs16224230.

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Reliable infrared small target detection plays an important role in infrared search and track systems. In recent years, most target detection methods usually use the statistical features of a rectangular window to represent the contrast between the target and the background. When the size of the target is small or the target is close to the background, the statistical features of the rectangular window would reduce the significance of the target. Moreover, such methods have limited effect on interfering targets, high brightness background, background edges, and clutter suppression in complex b

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Niu, Wei, Bo Gao, Wentao Zhan, and Juan Cheng. "Research on target detection method based on CNN." Journal of Physics: Conference Series 2252, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2252/1/012051.

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Abstract Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requireme

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Niu, Wei, Bo Gao, Wentao Zhan, and Juan Cheng. "Research on target detection method based on CNN." Journal of Physics: Conference Series 2252, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2252/1/012051.

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Abstract Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requireme

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Lin, Xiaobin, Liping Xiang, Chengzhi Zhang, and Meng Xie. "Research on Background Knowledge Based Software Processing Method of Target Height Measurement for 3D Radar." MATEC Web of Conferences 175 (2018): 02011. http://dx.doi.org/10.1051/matecconf/201817502011.

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The three-dimensional (3D) radar can detect 3D information of air targets, including range, azimuth and height. It is considered as an important equipment of the air defense detection system in various countries. The precision of target height measurement is the key challenge in radar detection due to the influences of the complex background environment of air targets. This paper considers the background knowledge during target detection. By using the background knowledge of radar position meteorological parameters and multi-dimensional radar position RAG maps etc., this paper proposes an inte

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10

Kabakchiev, Hristo, Ivan Garvanov, Vera Behar, et al. "Multi-Channel Target Shadow Detection in GPS FSR." Cybernetics and Information Technologies 19, no. 1 (2019): 116–32. http://dx.doi.org/10.2478/cait-2019-0007.

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Abstract The paper offers new application of a Multi-channel Forward Scatter Radar (MFSR), which uses GPS signals for detection of air targets on their GPS radio shadows. The multi-channel GPS MFSR detector consists of several channels, which process information from several satellites simultaneously. The phenomena of diffraction in the near area is used for shadow target detection. The target is considered to be detected, if it is detected at least in one of detector channels. Two experiments have been made to verify the proposed detection algorithm. The results obtained show that the propose

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11

Elias, Bartholomew. "A Model of Air to Ground Target Acquisition Based on Logistic Regression Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 21 (2000): 3–484. http://dx.doi.org/10.1177/154193120004402128.

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Logistic regression, a technique for describing relationships between a binary or dichotomous dependent variable and one or more independent variables that can be either discrete or continuous, is demonstrated to be an effective analytical tool for evaluating data collected using psychophysical methods and signal detection procedures. One specific application of logistic regression is the assessment of operational factors on human performance in visual target acquisition. Visual target acquisition data collected using signal detection procedures were reanalyzed using logistic regression techni

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Glennon, E. P., A. G. Dempster, and C. Rizos. "Feasibility of Air Target Detection Using GPS as a Bistatic Radar." Journal of Global Positioning Systems 5, no. 1&2 (2006): 119–26. http://dx.doi.org/10.5081/jgps.5.1.119.

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13

Cherniakov, M., D. Nezlin, and K. Kubik. "Air target detection via bistatic radar based on LEOS communication signals." IEE Proceedings - Radar, Sonar and Navigation 149, no. 1 (2002): 33. http://dx.doi.org/10.1049/ip-rsn:20020129.

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Wang, Dinghe, Qinglong Bao, Ruiqi Tian, and Zengping Chen. "Bistatic weak target detection method using non-cooperative air surveillance radar." Journal of Systems Engineering and Electronics 26, no. 5 (2015): 954–63. http://dx.doi.org/10.1109/jsee.2015.00104.

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15

Smirnov, M. A. "Methodology for evaluating effectiveness of air defense missile system (ADMS) information resources when detecting a hypersonic cruise missile, with account for the dynamic target scattering crossover." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 1 (March 30, 2019): 18–23. http://dx.doi.org/10.38013/2542-0542-2019-1-18-23.

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The study introduces a method that evaluates the effectiveness of information resources of an air defense missile system when detecting a hypersonic cruise missile. The method takes into account the dynamic target scattering crossover. The efficiency is evaluated by conducting statistical tests on a simulation model and constructing a vertical section of the detection zone. In this case, the effective target scattering crossover of a hypersonic cruise missile is calculated depending on the parameters of its movement around the center of mass relative to the ground - based detection radar and i

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Doll, Theodore J., J. Michael Cathcart, and David E. Schmieder. "Infrared Target Detection in Structured Urban Scenes." Proceedings of the Human Factors Society Annual Meeting 32, no. 19 (1988): 1324–28. http://dx.doi.org/10.1177/154193128803201903.

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An experiment was conducted to measure observers' performance in detecting military targets in structured scenes with a high density of man-made features, i.e., “urban clutter”. The scenes were simulations of those produced by an infrared (IR) imaging system in air-to-ground situations. Scenes were generated with various signal-to-clutter ratios (SCR's), and were filtered to produce various levels of resolution. Detection performance was measured using a rating-scale detection task. Sensitivity (d1) increased with resolution, but varied little with SCR. Contrary to expectation, detection perfo

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17

Khan, Fazle Rabby, Md Muhabullah, Roksana Islam, et al. "A Cost-Efficient Autonomous Air Defense System for National Security." Security and Communication Networks 2021 (June 25, 2021): 1–10. http://dx.doi.org/10.1155/2021/9984453.

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In a country, air defense systems are designed to reduce threats efficiently. An air defense system is a fundamental part of any country because it provides national security. This study presents an autonomous air defense system (AADS) development that will automatically detect aerial threats (e.g., drones) and target them without any human intervention. The AADS is implemented using radar, camera, and laser gun. The radar system dynamically emits microwaves and detects moving objects around it. It triggers the camera system if it senses the frequency of any aerial threat. The camera receives

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18

Ren Weihe, 任维贺, 张月 Zhang Yue, 苏云 Su Yun, 张学敏 Zhang Xuemin, 邓红艳 Deng Hongyan та 柳祎 Liu Yi. "环境扰动下空中动目标探测技术综述". Infrared and Laser Engineering 51, № 9 (2022): 20210843. http://dx.doi.org/10.3788/irla20210843.

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19

Yuan, Shanshan, and Xiangyang Xu. "Target Detection Based on Variable Frame Rate Sampling of Active Light Source." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 1 (2022): 83–87. http://dx.doi.org/10.20965/jaciii.2022.p0083.

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In the process of target detection with active light sources as calibration objects, air scattering and air absorption cause a significant loss of light energy, resulting in distortion and fragmentation of the spot shape. Inspired by band-pass filtering, this study proposes a target detection method based on variable frame rate sampling of an active light source. It primarily adopts i) image modulation for collecting the active light source signal with a specified frequency and subtracting the background, and ii) variable frame rate sampling for further weighted average to attenuate the dynami

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Ma, Tianxiao, Ping Lu, Fangwei Deng, and Keke Geng. "Air–Ground Collaborative Multi-Target Detection Task Assignment and Path Planning Optimization." Drones 8, no. 3 (2024): 110. http://dx.doi.org/10.3390/drones8030110.

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Collaborative exploration in environments involving multiple unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) represents a crucial research direction in multi-agent systems. However, there is still a lack of research in the areas of multi-target detection task assignment and swarm path planning, both of which play a vital role in enhancing the efficiency of environment exploration and reducing energy consumption. In this paper, we propose an air–ground collaborative multi-target detection task model based on Mixed Integer Linear Programming (MILP). In order to make the model

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21

Wan, Yong, Zihao Zhan, Peng Ren, et al. "Storage Tank Target Detection for Large-Scale Remote Sensing Images Based on YOLOv7-OT." Remote Sensing 16, no. 23 (2024): 4510. https://doi.org/10.3390/rs16234510.

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Since industrialization, global greenhouse gas emissions have gradually increased. Storage tanks, as industrial facilities for storing fossil energy, are one of the main sources of greenhouse gas emissions. Using remote sensing images to detect and locate storage tank targets over a large area can provide data support for regional air pollution prevention, control, and monitoring. Due to the circular terrain on the ground and the circular traces caused by human activities, the target detection model has a high false detection rate when detecting tank targets in large-scale remote sensing image

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Luo, Jiqing, Faming Shao, Fanjie Meng, and Yi Xiao. "Object detection algorithm combined with dynamic and static for air target intrusion." International Journal of Sensor Networks 38, no. 2 (2022): 97. http://dx.doi.org/10.1504/ijsnet.2022.10045455.

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23

Liu, Mingqian, Chunheng Liu, Ming Li, Yunfei Chen, Shifei Zheng, and Nan Zhao. "Intelligent passive detection of aerial target in space-air-ground integrated networks." China Communications 19, no. 1 (2022): 52–63. http://dx.doi.org/10.23919/jcc.2022.01.005.

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Xiao, Yi, Faming Shao, Fanjie Meng, and Jiqing Luo. "Object detection algorithm combined with dynamic and static for air target intrusion." International Journal of Sensor Networks 38, no. 2 (2022): 97. http://dx.doi.org/10.1504/ijsnet.2022.121161.

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25

Kondratenko, A. P., and S. V. Shapovalov. "Detection Coverage of Air Target in Bistatic Radar System with Television Illumination;." Telecommunications and Radio Engineering 59, no. 1-2 (2003): 75–78. http://dx.doi.org/10.1615/telecomradeng.v59.i12.70.

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26

Suberviola, Ion, Iker Mayordomo, and Jaizki Mendizabal. "Experimental Results of Air Target Detection With a GPS Forward-Scattering Radar." IEEE Geoscience and Remote Sensing Letters 9, no. 1 (2012): 47–51. http://dx.doi.org/10.1109/lgrs.2011.2159477.

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27

Wang, Zhaofeng, Guisheng Liao, Zhiwei Yang, and Yuxin Ji. "CLEAN‐based air moving target detection for the SFM radar‐communication system." IET Signal Processing 13, no. 2 (2019): 199–206. http://dx.doi.org/10.1049/iet-spr.2018.5102.

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28

鲍, 舒扬. "A Ground-to-Air Infrared Small and Small Target Autonomous Detection Equipment." Artificial Intelligence and Robotics Research 13, no. 03 (2024): 571–81. http://dx.doi.org/10.12677/airr.2024.133059.

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29

Lim, Tea Heung, Minho Go, Chulhun Seo, and Hosung Choo. "Analysis of the Target Detection Performance of Air-to-Air Airborne Radar Using Long-Range Propagation Simulation in Abnormal Atmospheric Conditions." Applied Sciences 10, no. 18 (2020): 6440. http://dx.doi.org/10.3390/app10186440.

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In this paper, we propose the analysis of the target detection performance of air-to-air airborne radars using long-range propagation simulations with a novel quad-linear refractivity model under abnormal atmospheric conditions. The radar propagation characteristics and the target detection performance are simulated using the Advanced Refractive Effects Prediction System (AREPS) software, where the refractivity along the altitude, array antenna pattern, and digital terrain elevation data are considered as inputs to obtain the path loss of the wave propagation. The quad-linear model is used to

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Lim, Tae-Heung, and Hosung Choo. "Prediction of Target Detection Probability Based on Air-to-Air Long-Range Scenarios in Anomalous Atmospheric Environments." Remote Sensing 13, no. 19 (2021): 3943. http://dx.doi.org/10.3390/rs13193943.

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We investigate a target detection probability (TDP) using path loss of an airborne radar based on air-to-air scenarios in anomalous atmospheric and weather environments. In the process of calculating the TDP, it is necessary to obtain the overall path loss including the anomalous atmospheric environment, gas attenuation, rainfall attenuation, and beam scanning loss. The path loss including the quad-linear refractivity model and other radar input parameters is simulated using the Advanced Refractive Effects Prediction System (AREPS) software along the range and the altitude. For the gas and rai

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Dai, Jin Jin, Xiang Min Li, and Zi Fen Li. "Target Identification Method for Single-Ship Air-Defense Based on Kinematics Characteristics." Advanced Materials Research 546-547 (July 2012): 559–64. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.559.

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In this paper, a target identification method is proposed based on kinematics characteristics for single-ship air-defense. After seriously analyzing the characteristics of modern air strike targets, extracting methods of the features of height, velocity, acceleration, detection distance, continuous radial motion etc. is given. Then, three-layer identification structure is established: layer 1 can identify tactical ballistic missile (TBM) and armed helicopter (AH) according to height, velocity; layer 2 can identify anti-radiation missile (ARM) and precision guided bomb (PGB) according to the fe

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Nakhmanson, G. S., and D. S. Akinshin. "Detection of the Trajectories of Moving Rectilinearly Air Targets in the Secondary Processing of Radar Information." Journal of the Russian Universities. Radioelectronics 22, no. 5 (2019): 61–70. http://dx.doi.org/10.32603/1993-8985-2019-22-5-61-70.

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Introduction. The primary functions of secondary processing of radar information are to detect and maintain the trajectories of air targets (AT). The AT trajectory detection can be characterised by the probability of detecting trajectory and average autocapture time. When the target moves, its distance from the radar station changes, leading to a change in the signal/noise ratio and the probability of detecting AT.Aim. To assess the impact of a change in the probability of detection of a straight and evenly moving target at consecutive time intervals of radar observation upon the characteristi

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Ha, Il-kyu. "Improved A-Star Search Algorithm for Probabilistic Air Pollution Detection Using UAVs." Sensors 24, no. 4 (2024): 1141. http://dx.doi.org/10.3390/s24041141.

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Recently, air pollution problems in urban areas have become serious, and unmanned aerial vehicles (UAVs) can be used to monitor air pollution because they can perform spatial movement. However, because air pollution sources are fluid, probabilistic search methods are required to identify a target through the probability of its existence. This study proposes an efficient algorithm to detect air pollution in urban areas using UAVs. An improved A-star algorithm that can efficiently perform searches based on a probabilistic search model using a UAV is designed. In particular, in the proposed impro

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Dou, Hanjie, Changyuan Zhai, Liping Chen, Xiu Wang, and Wei Zou. "Comparison of Orchard Target-Oriented Spraying Systems Using Photoelectric or Ultrasonic Sensors." Agriculture 11, no. 8 (2021): 753. http://dx.doi.org/10.3390/agriculture11080753.

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Orchard pesticide off-target deposition and drift cause substantial soil and water pollution, and other environmental pollution. Orchard target-oriented spraying technologies have been used to reduce the deposition and drift caused by off-target spraying and control environmental pollution to within an acceptable range. Two target-oriented spraying systems based on photoelectric sensors or ultrasonic sensors were developed. Three spraying treatments of young cherry trees and adult apple trees were conducted using a commercial sprayer with a photoelectric-based target-oriented spraying system,

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Benhadj, R., and B. Dawson. "Air jets imaging tactile sensing device for automation applications." Robotica 13, no. 5 (1995): 521–29. http://dx.doi.org/10.1017/s0263574700018361.

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SummaryThis paper details the design principles of operation of a pneumatic proximity-to-tactile sensing device for part handling and recognition in a flexible manufacturing environment. The sensing device utilises a densely packed line array of piezoresistive pressure sensors, providing continuous variable outputs. The sensing plane of the device incorporates a corresponding line array of air jets which develop an air cushion when striking a target of interest. The back pressure levels from these air jets form the basis for the task of target detection and recognition.

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Orlov, S., S. Zviglyanich, Yu Agafonov, and V. Surhai. "JUSTIFICATION OF APPROACHES TO DEVELOPING METHODS FOR ASSESSING FIGHTER DRONE ACTIONS AGAINST UNMANNED AERIAL VEHICLES BASED ON A SIMULATION MODEL." Випробування та сертифікація, no. 2(4) (November 7, 2024): 86–91. http://dx.doi.org/10.37701/ts.04.2024.11.

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The relevance of issues related to the possibility of using fighter drones against the enemy's unmanned aerial vehicles (UAVs) necessitates the development of methods for evaluating such actions. The presented article proposes a methodology for developing a simulation model for evaluating approaches to the construction of a cover system against the action of enemy UAVs of various purposes: strike, reconnaissance, and others. The given model establishes the relationship between the size of the city cover zone and the location of military formations, the intensity of detection of air targets, th

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Kwan, Chiman, and Bence Budavari. "Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques." Remote Sensing 12, no. 24 (2020): 4024. http://dx.doi.org/10.3390/rs12244024.

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The detection of small moving objects in long-range infrared videos is challenging due to background clutter, air turbulence, and small target size. In this paper, we summarize the investigation of efficient ways to enhance the performance of small target detection in long-range and low-quality infrared videos containing moving objects. In particular, we focus on unsupervised, modular, flexible, and efficient methods for target detection performance enhancement using motion information extracted from optical flow methods. Three well-known optical flow methods were studied. It was found that op

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Sulistyaningsih, Perdana Saputera Yussi, Wahab Mashury, and Yulius Maulana Yudi. "Design of radar display of Indonesian airspace monitoring application." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1176–84. https://doi.org/10.12928/TELKOMNIKA.v17i3.11778.

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In this research, the design and manufacture of radar display software using Plan Position Indicator (PPI) format for air surveillance radar application are presented. The PPI display shows interpretations of echo detections of radar signal reflected from the flying objects/targets. The detection results will be displayed on a circular 360ᵒ area, where the radar position is at the center. System configuration is done via interface from the display, by adjusting the level of transmit signal, by setting the gain for threshold, and by enabling moving target indicator (MTI) mode. The MTI mode only

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Fedaravicius, Algimantas, Karolis Jasas, Arvydas Survila, and Vitas Grimaila. "Design and Research of the Image Processing Unit and Telemetric Equipment for the Laser-Guided Very Short Range Air Defence Systems Field Simulator." Elektronika ir Elektrotechnika 29, no. 4 (2023): 27–36. http://dx.doi.org/10.5755/j02.eie.33634.

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In this article, the engineering concept of the laser-guided very short range air defence system field simulator, its structure, and practical use are presented. The possibilities and advantages of the practical use of the equipment developed in tactical exercises and individual training of air defence specialists are shown. The field simulator equipment without invasion and compromising functionality into the combat air defence system has been connected and installed. The simulator performs all required shooting procedures without using combat missiles, target detection, shot execution, and m

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Lu, Xinhua, and Zhongke Shi. "Detection and tracking control for air moving target based on dynamic template matching." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 24, no. 10 (2010): 935–41. http://dx.doi.org/10.3724/sp.j.1187.2010.00935.

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Zhang Meng, 张萌, 王仕成 Wang Shicheng, and 杨东方 Yang Dongfang. "Air-to-Ground Target Detection Algorithm Based on Attention Learning in Key Areas." Laser & Optoelectronics Progress 57, no. 4 (2020): 041006. http://dx.doi.org/10.3788/lop57.041006.

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Wang Wenqing, 王文庆, 丰林 Feng Lin, 刘洋 Liu Yang, 杨东方 Yang Dongfang, and 张萌 Zhang Meng. "Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism." Laser & Optoelectronics Progress 57, no. 22 (2020): 221010. http://dx.doi.org/10.3788/lop57.221010.

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Zhang, Chuanxin, Tianjiao Li, Yuan Yuan, Fuqiang Wang, and Heping Tan. "Effects of droplets in the air on light transmission in target optical detection." Optics and Lasers in Engineering 128 (May 2020): 106044. http://dx.doi.org/10.1016/j.optlaseng.2020.106044.

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Kwan, Chiman, and Jude Larkin. "Detection of Small Moving Objects in Long Range Infrared Videos from a Change Detection Perspective." Photonics 8, no. 9 (2021): 394. http://dx.doi.org/10.3390/photonics8090394.

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Detection of small moving objects in long range infrared (IR) videos is challenging due to background clutter, air turbulence, and small target size. In this paper, we present two unsupervised, modular, and flexible frameworks to detect small moving targets. The key idea was inspired by change detection (CD) algorithms where frame differences can help detect motions. Our frameworks consist of change detection, small target detection, and some post-processing algorithms such as image denoising and dilation. Extensive experiments using actual long range mid-wave infrared (MWIR) videos with targe

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Tan, Chun Hou, Nurshazwani Wan Zakaria Wan, Sue Jing Tai, Tomari Razali, Kian Sek Tee, and Azwani Muhd Suberi Anis. "Vision Based Human Decoy System for Spot Cooling." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1512–19. https://doi.org/10.12928/TELKOMNIKA.v15i4.7229.

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This project aims to reduce the energy consumption of air conditioner usage while maintaining occupant comfort. Cooling down the unoccupied space can be considered as waste of energy. Therefore, a human decoy system is proposed to track any human in the detection area. Image contains depth data in each pixel which can be used to detect the presence of target subject as well as their position. The acquired position data is processed by using MATLAB and subsequently is transmitted to Arduino Mega using serial communication to control stepper motors. The experimental results show that the air con

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Yang, Dongfang, Xing Liu, Hao He, and Yongfei Li. "Air-to-ground multimodal object detection algorithm based on feature association learning." International Journal of Advanced Robotic Systems 16, no. 3 (2019): 172988141984299. http://dx.doi.org/10.1177/1729881419842995.

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Detecting objects on unmanned aerial vehicles is a hard task, due to the long visual distance and the subsequent small size and lack of view. Besides, the traditional ground observation manners based on visible light camera are sensitive to brightness. This article aims to improve the target detection accuracy in various weather conditions, by using both visible light camera and infrared camera simultaneously. In this article, an association network of multimodal feature maps on the same scene is used to design an object detection algorithm, which is the so-called feature association learning

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Engel, Laura, Karina R. Tarantik, Carolin Pannek, and Jürgen Wöllenstein. "Colorimetric Detection of Hydrogen Sulfide in Ambient Air." Proceedings 2, no. 13 (2018): 804. http://dx.doi.org/10.3390/proceedings2130804.

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We present a fast method to monitor hydrogen sulfide (H2S) in ambient air based on a visible color change. Therefore, an immobilized copper(II) complex of the azo dye 1-(2-pyridylazo)-2-naphtol (H-PAN) was synthesized and prepared in a matrix for screen printing. Different materials, reaching from opaque paper to transparent foils served as substrate. The reaction of the copper(II) complex (Cu-PAN) to the target gas H2S was measured in reflection via UV/VIS spectroscopy.

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Zenkevich, S. L., А. V. Nazarova, and Meixin Zhai. "The Movement Planning of Mobile Robots in Performing Search Task Based on Probability Theory." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 9 (2019): 560–67. http://dx.doi.org/10.17587/mau.20.560-567.

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The article is devoted to the development of searching and covering task in different areas, for example, for extinguishing fires, during search operations in the air, on the ground, etc. Two probabilistic models were created based on the characteristics of the sensors and the search zone, that is, the probability density of the target position and the conditional probability of detecting the target by the sensor under the conditions that the target is at the point of observation (depending on the distance between the sensor and the point of observation). Based on these models, the parameters

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CHOWDHURY, MAINUL ISLAM, MD Rakib Hasan, Maruf Chowdhury, Saad Mohammad Bhuiya, and Md Saniat Rahman Zishan. "Design And Development Of Air Conditioner (AC) Monitoring And Management System." AIUB Journal of Science and Engineering (AJSE) 21, no. 3 (2022): 132–38. http://dx.doi.org/10.53799/ajse.v21i3.260.

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Nowadays Air Conditioner (AC) has become a more important appliance in our life. Gas leakage, blockage in the evaporator and compressor coil, pipelines as well as dust in the air filters, are the major reasons behind AC explosion. Many people have been injured over the years due to AC blasts. In this paper a system is developed that uses sensor technology and smart devices to reduce AC blast. As a result, pipeline leaks or blockage fault detection system is planned and constructed using MQ-02, TTC 103, optical dust sensors for gas detection, temperature detection and for detecting dust density

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Fernández-Rodríguez, Álvaro, Ricardo Ron-Angevin, Francisco Velasco-Álvarez, Jaime Diaz-Pineda, Théodore Letouzé, and Jean-Marc André. "Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario." Brain Sciences 13, no. 6 (2023): 886. http://dx.doi.org/10.3390/brainsci13060886.

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An event-related potential (ERP)-based brain–computer interface (BCI) can be used to monitor a user’s cognitive state during a surveillance task in a situational awareness context. The present study explores the use of an ERP-BCI for detecting new planes in an air traffic controller (ATC). Two experiments were conducted to evaluate the impact of different visual factors on target detection. Experiment 1 validated the type of stimulus used and the effect of not knowing its appearance location in an ERP-BCI scenario. Experiment 2 evaluated the effect of the size of the target stimulus appearance

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