NONLINEAR PROPERTIES OF BARIUM TITANATE CERAMICS by IVAYLO LAZAROV, ANKA ZHEGLOVA

“…The properties of those materials are used when different automation elements such as primary converters, phase regulators for low and high frequencies, sensors, modulators etc. are derived. Ceramics based on barium titanate (BaTiO3) alloyed with H3BO3 and Bi2O3 have been derived and researched. …”
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Properties of Electrospun TiO2 Nanofibers by Bianca Caratão, Edgar Carneiro, Pedro Sá, Bernardo Almeida, Sandra Carvalho

“…The combination of good TiO2 properties with its high surface area leads these nanofibers into having a vast applicability such as cosmetics, scaffolds for tissue engineering, catalytic devices, sensors, solar cells, and optoelectronic devices. …”
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Smartphone-based indoor localization by fusion of acoustic ranging and PDR by Mao PANG, Mei WANG, Xiyu SONG, Liyan LUO, Kun RUAN

“…A novel indoor localization algorithm that integrates acoustic ranging and pedestrian dead reckoning (PDR) algorithm was presented,to reduce the accumulated error of the inertial sensors in the process of indoor positioning using PDR.Firstly,the PDR was used for position estimation.Then,the distance between the mobile phone and the wall was measured by using sound waves,and the cumulative error in the PDR was corrected by combining the above position and the distance with the known indoor map information.Hence,long-term stable indoor positioning can be achieved without laying out any nodes.In order to solve the problem that the echo signals reflected by the wall under long-distance conditions were difficult to detect,signal enhancement on the echoes reflected from the target wall was performed by using beamforming,taking advantage of the characteristics of the built-in dual microphones in the smartphone,then the effective measurement distance was increased and the application range of the proposed method was expanded.Experimental results show that the average positioning error of the proposed fusion localization method is 0.427 m.Compared with the results of using PDR alone,the average positioning error is reduced by 2.748 m.…”
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Network Anomaly Detection System with Optimized DS Evidence Theory by Yuan Liu, Xiaofeng Wang, Kaiyu Liu

“…In this model, we add weights for each senor to optimize DS evidence theory according to its previous predict accuracy. And RBPA employs sensor’s regression ability to address complex network. …”
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Developing an IoT and ML-driven platform for fruit ripeness evaluation and spoilage detection: A case study on bananas by Rajini M, Persis Voola

“…The study employed temperature, humidity, and gas emission sensors along with an ESP32 microcontroller to establish a unique framework that achieved exceptional accuracy in predicting banana ripeness stages. …”
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Preliminary study on the explosive performance of coal dust and prospects for engineering applications by Jing Guo, Shirong Ge

“…High-frequency pressure sensors assessed pressure dynamics and detonation wave propagation, complemented by numerical simulations for accuracy. …”
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Object Detection Techniques in Autonomous Driving by Yu Jianlei

“…It discusses various methodologies, including the application of machine learning (ML) techniques, and the integration of sensors like LiDAR and radar, which enhance the system’s ability to accurately identify and track nearby objects, such as pedestrians, vehicles, and obstacles, in real-time. …”
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2D DOA Estimation with a Two-Parallel Array Consisting of Two Uniform Large-Spacing Linear Arrays by Sheng Liu, Jing Zhao, Yu Zhang

“…Because of the increase of element spacing, the mutual coupling between two sensors can be reduced. Firstly, two matrices containing elevation angle information are obtained by PM. …”
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Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems by Xiaoliang Feng, Lan Wu, Chenglin Wen

“…The centralized fusion framework makes it difficult to locate and estimate the sensor fault. Based on the fault detection method, the sequential fusion framework could locate and estimate the sensor fault and realize the fault-tolerant estimation of system states. …”
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Gearbox Fault Diagnosis Based on Dynamic Weighted Feature Fusion with Maximum Information Coefficient by Nie Yongjun, Liu Zhijun, Tang Zhenyu, Liu Zhihua, Zhou Qiang

“…With the refinement and complexity of mechanical equipment, the number and types of sensors used to monitor their operating status are increasing. …”
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Your Farm Weather Station: Installation and Maintenance Guidelines by Clyde W. Fraisse, George W. Braun, William R. Lusher, Lee R. Staudt

“…But management decisions must be based on high-quality observations. Sensors must meet accepted minimum accuracy standards, and the station must be sited properly and well-maintained. …”
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Target localization method based on semi-definite relaxation with frequency difference of arrival by MAO Xiaoting, WU Xiaoping

“…In addition, its RMSE performance is better than that of the two-stage weighted least square (TSWLS) method for a smaller number of sensors.…”
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Challenges for Novice Developers in Rough Terrain Rescue Robots: A Survey on Motion Control Systems by Branesh M. Pillai, Jackrit Suthakorn

“…Thus, it is imperative to conduct further studies on how to optimize the operations of robots that lack sensors.…”
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Predictive genetic circuit design for phenotype reprogramming in plants by Ci Kong, Yin Yang, Tiancong Qi, Shuyi Zhang

“…A group of orthogonal sensors, modular synthetic promoters, and NOT gates are constructed and quantitatively characterized. …”
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O imprescindível acesso à internet no campo: a capilarização da informação no Brasil e na França by Mait Bertollo

“…In the agribusiness sector, these systems and technical objects such as sensors, equipment and machines, digitally connected through the Internet of Things (IoT), allow large volumes of data of the most varied types to be shared with greater fluidity, feeding countless systems for the control of various stages of the different productive spatial circuits. …”
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Safety Technology Risks and Countermeasures in the Intelligent Construction of Coal Mines by Jinyan Bai, Dezhi Zheng, Chen Jia

“…Based on the analysis of the process of China’s intelligent construction, this paper describes the safety management and control risks and the technical challenges faced by China’s intelligent coal mine construction in terms of norms and standards, data acquisition, subsystem and terminal sensors, multisystem integration, safety risk management, and control ability. …”
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A Broadband and High Gain Tapered Slot Antenna for W-Band Imaging Array Applications by Dong Sik Woo, Kang Wook Kim, Hyun-Chul Choi

“…A broadband and high gain tapered slot antenna (TSA) by utilizing a broadband microstrip- (MS-) to-coplanar stripline (CPS) balun has been developed for millimeter-wave imaging systems and sensors. This antenna exhibits ultrawideband performance for frequency ranges from 70 to over 110 GHz with the high antenna gain, low sidelobe levels, and narrow beamwidth. …”
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Análise de ilhas de calor diagnosticas por meio de transectos móveis em Assis, Cândido Mota, Maracaí e Tarumã (SP) by Gislene Figueiredo Ortiz Porangaba, Margarete Cristiane de Costa Trindade Amorim

“…Therefore, the technique used was the mobile transects, which consists of recording air temperatures with sensors fitted on the side of vehicles in low travel speed, in the interurban environments and rural surroundings, near built-up areas. …”
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Mechanism design for crowd sensing with data reuse based on two-sided auction by Changkun JIANG, Lin GAO

“…Crowd sensing is a promising sensing paradigm,which mainly uses a variety of embedded sensors in a large number of mobile devices to accomplish data sensing tasks.One of the key issues in crowd sensing is how to effectively coordinate mobile device users to perform multiple sensory tasks simultaneously.By introducing a new data layer between the sensing task and the user,the similarity of the sensing task and the heterogeneity of the user were effectively utilized,and the joint task selection and user scheduling problems were established on the data layer,aiming at maximizing the social welfare of the whole system.This problem was difficult to solve due to its combinatorial nature and the presence of private information on both the sensing tasks and the users.In order to deal with these problems,a two-sided randomized auction mechanism was proposed,and it was proved that it can satisfy the desirable properties of the computational efficiency,the individual rationality,and the incentive compatibility in expectation.The simulation results show that the proposed stochastic auction mechanism can achieve nearly optimal social welfare,and the social welfare benefits brought by data reuse will increase significantly with the enhancement of task similarity.…”
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Graphene: A Multifunctional Nanomaterial with Versatile Applications by H. C. Ananda Murthy, Suresh Ghotekar, B. Vinay Kumar, Arpita Roy

“…Graphene is the best candidate in making nanocomposite-based electrochemical sensors. Graphene is among the best electronic materials, but synthesizing a single sheet of graphene has received less attention. …”
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