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International Core Journal of Engineering 2021年第3期7卷 116-128页

作者： Weijie Zhang

The target information detected by sensors such as radar will change according to different sensor positions, which will cause some errors, but there may be a certain relationship between the points detected by sensors in different positions. The master curve is a feature extraction method based on nonlinear transformation. It is a smooth curve that passes through the middle of the data distribution and satisfies self-consistent, which can better reflect the structural characteristics of the data distribution. Curve fitting refers to selecting an appropriate curve type to fit the observed data according to the characteristics of the given data and reflect the changing trend of the observed data. This article attempts to use the existing data to obtain the master curve, then use the characteristics of the sensor to add noise to the master curve, curve fitting the points after adding noise, and finally analyze the error of the fitted curve and the master curve. The experimental results show that the master curve can well reflect the structure of the data, and the detection errors between various sensors have a certain correlation.

关键词： Principal Curve Curve Fitting sensor detection

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Nondestructive sensor detection and Economic Applicability Analysis of Underground Foundation Pit

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RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING 2020年第8期56卷 681-688页

作者： Hu, Dengping Guo, Chengchao Chu, Xuanxuan Sun Yat Sen Univ Sch Civil Engn Guangzhou 510275 Peoples R China Huizhou Univ Sch Architecture & Civil Engn Huizhou 516000 Guangdong Peoples R China Sun Yat Sen Univ Guangdong Engn Technol Res Ctr Underground Space Guangzhou 510275 Peoples R China Univ Nottingham Fac Engn Nottingham Transportat Engn Ctr Univ Pk Nottingham NG7 2RD England

In this paper, the underground structure health monitoring system was adopted. Based on the monitoring instrument, lateral displacement and deformation of the underground prefabricated structure was mainly measured. Through the analysis on the monitoring data, the lateral deformation displacement of underground support structure was less than 3 mm, which is in good agreement with the applicability of subterranean prefabricated structures. The economy of the assembled support structure was analyzed, there has been a significant reduction in overall costs. Through the analysis of the underground assembled structure monitoring data, The economics of materials were considered, and it will also provide a theoretical basis for the development and utilization of underground prefabricated structures.

关键词： nondestructive sensor detection underground foundation pit monitoring instrument underground prefabricated structure

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Lane Change Control for Self-driving Vehicle Based on Model Predictive Control Considering the Instability of sensor detection 4

Lane Change Control for Self-driving Vehicle Based on Model ...

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4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)

作者： Zhang, Wenhao Chen, Xiang Tsinghua Univ State Key Lab Automot Safety & Energy Beijing Peoples R China

ISBN: (纸本)9781728146898

Lane change maneuver has great potential to cause serious traffic accidents, and the accurate detection of the surrounding environment is a decisive factor to decide whether the lane change process is safe. Therefore, this paper proposes a fusion method of radar arrays and vision sensor, and it takes possible obstacle miss and detection inaccuracy of sensors into consideration. Then, path planning and controller is designed based on 5th polynomial curve and model predictive controller. In order to test the effectiveness of the proposed algorithm, simulation experiments of lane change control are performed. Simulation results show that the proposed method can successfully support the process of lane change control.

关键词： sensor detection MPC Lane Change Control

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Deterioration of plant volatile organic compounds in food: Consequence, mechanism, detection, and control

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TRENDS IN FOOD SCIENCE & TECHNOLOGY 2023年 131卷 61-76页

作者： Gong, Xiaohui Huang, Jing Xu, Yongquan Li, Zhenbiao Li, Li Li, Dong Belwal, Tarun Jeandet, Philippe Luo, Zisheng Xu, Yanqun Zhejiang Univ Natl Local Joint Engn Lab Intelligent Food Techno Minist Agr & Rural AffairsKey Lab Agroprod Posth Zhejiang Key Lab Agrifood ProcColl Biosyst Engn Hangzhou 310058 Peoples R China Chinese Acad Agr Sci Tea Res Inst Key Lab Biol Genet & Breeding Special Econ Anim & Minist Agr & Rural Affairs 9 South Meiling Rd Hangzhou 310008 Peoples R China Harvard Univ Herbaria Dept Organism & Evolutionary Biol 22 Divin Ave Cambridge MA 02138 USA Zhejiang Univ Ningbo Res Inst Ningbo 315100 Peoples R China Univ Reims EA 4707 USC INRAe 1488 SFR Condorcet FR CNRS 3417 Res Unit Induced Resistance & Plant Bioprotect F-3417 Reims France

Background: Nowadays, consumers increasingly prefer food with original, natural, and delicious flavors, which is closely linked to the content of volatile organic compounds (VOCs) in food. In recent years, the function of plant VOCs as natural food additives (flavoring and aromatizing agents, antibacterial agents) and their health benefits have attracted increased attention from the food industry. However, plant VOCs are quickly deteriorated because of their reactive molecular characteristics, which is the most critical bottleneck in their functions. Exploring the consequence, mechanism, sensor detection, and control technology of VOC deterioration can help to promote further advances in the protection of the food aroma and the application of plant VOCs in the food industry. Scope and approach: Focusing on the highlighted roles of VOCs in the food industry and deterioration-prone characteristics, concluding the consequence, mechanism, sensor detection, and control technology of VOC deterioration. Key findings and conclusions: The VOC deterioration in fresh food mainly results from composition variation induced by intracellular metabolism during storage, and metabolic loss induced by environmental factors. The leading causes inducing the VOC deterioration in processed food include physical loss by heating and chemical variations arising from the Maillard reaction, lipid oxidation, and other reactions. The biosensors assembled by proteins, peptides, or DNA showed excellent VOC sensitivity and selectivity performance. One technology cannot ideally protect every volatile component. Establishing the loss model and law of characteristic aroma components in specific technical treatment helps the component preservation of VOCs.

关键词： Volatile organic compounds Deterioration Mechanism sensor detection Control technology

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Design and Implementation of a Smart Orchard Comprehensive Service Platform

Design and Implementation of a Smart Orchard Comprehensive S...

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2023 IEEE International Conference on Electrical, Automation and Computer Engineering, ICEACE 2023

作者： Xie, Ling Luan, Di Liu, Hongying Wei, Wei Zijin Institute of Nanjing University of Science and Technology Intelligent Control Academy Nanjing China Zijin Institute of Nanjing University of Science and Technology Computer Academy Nanjing China

ISBN: (纸本)9798350309614

The intelligent orchard integrated service platform is an innovative solution integrating software and hardware technology, which aims to improve the efficiency and quality of traditional orchard management. Traditional orchard planting relies on artificial experience and subjective judgment, and faces difficulties in pest control, water and fertilizer management and picking scheduling. This platform includes four sub parts: intelligent orchard monitoring system, target recognition and positioning system, pest identification system and integrated information service platform. It combines information transmission, image processing, artificial intelligence, Internet of things and data science to achieve comprehensive orchard management services, which helps to improve orchard management and production efficiency and promote the sustainable development of orchards. © 2023 IEEE.

关键词： Disease and Pest Identification Fruit Location Recognition sensor detection Smart Orchard Web Development

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INTELLIGENT EXPLOSION-PROOF GAS MONITORING AND EARLY WARNING SYSTEM WITH SEMICONDUCTOR PLANT AS DISASTER PREVENTION TARGET 17

INTELLIGENT EXPLOSION-PROOF GAS MONITORING AND EARLY WARNING...

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17th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT)

作者： Chang, Fu-Hsiang Chang, Kuo-Chi Wang, Hsiao-Chuan Shih Hsin Univ Dept Tourism 1Ln 17Sec 1Muzha Rd Taipei 116 Taiwan North Borneo Univ Coll Dept Business Adm One Borneo Mall Kota Kinabalu 88400 Sabah Malaysia Yu Da Univ Sci & Technol Dept Appl Intelligent Mech & Elect Engn 168 Hsueh Fu Rd Chaochiao Township 361 Miaoli County Taiwan Fujian Univ Technol Sch Elect Elect & Phys 3 Xueyuan Rd Fuzhou 350118 Fujian Peoples R China Natl Taiwan Univ Inst Environm Engn 1Sec 4Roosevelt Rd Taipei 10617 Taiwan

ISBN: (数字)9781665452212

ISBN: (纸本)9781665452212

The semiconductor factory itself has a large amount of flammable and explosive gases, chemicals, etc., which have great harm to the safety of production equipment and personal safety. When the abnormal system fails, it may lead to inevitable gas leakage risks. In the past, many fire and explosion accidents and toxic gases happened in Taiwan. The leakage has seriously affected the operation of Taiwan's semiconductor supply chain. Especially now that Taiwan has become the world's leading semiconductor manufacturing center, it is particularly important. Therefore, the importance of monitoring and early warning of flammable and explosive dangerous gases is extremely important. Now that the era of Industry 4.0 has arrived, the intelligent production of semiconductor companies is undoubtedly an inevitable trend. Only by realizing the intelligence of explosion-proof gas monitoring and early warning can meet and adapt to the production needs of the era of Industry 4.0. ESP32 is a family of low-cost, low- power single-chip microcontrollers that integrate WiFi and dual-mode Bluetooth. It uses the Tensilica Xtensa LX6 microprocessor and includes dual-core and single-core variants with built-in antenna switches, RF converters, power amplifiers, low noise receiver amplifiers, f2ilters and power management modules. This research takes ESP3 as the core, and the system is designed according to the scene of the semiconductor factory. This intelligent explosion-proof gas monitoring and early warning system includes: sensing and detection system;data communication system;data processing system;comprehensive systems such as early warning, semiconductor factory engineers can real-time monitoring of dangerous gases, according to the intuitive results such as data and status generated by the system, and the trend of gas status changes can be obtained by analyzing the data and status information stored in the database, and the potential threats of safety hazards can be stifled in the cradl

关键词： Intelligent System sensor detection Data communication Data processing Early warning ESP32

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Control System Design and Implementation at Flexible, Distributed Offshore sensor Test Sites in the Yangtze Estuary Area

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Journal of Ocean University of China 2021年第2期20卷 285-295页

作者： HU Qingsong JIANG Chao DU Lin LI Jun CHEN Leilei XIANG Peng ZHANG Hongcheng RAHMAN Hafiz Abd ur College of Engineering Science and Technology Shanghai Ocean UniversityShanghai 201306China Anhui Jiyuan Inspection and Testing Technology Co. Ltd.Hefei 230088China

Marine in situ testing is a necessary step for stereotyping newly developed marine sensors. The use of test sites in the Yangtze Estuary area, which has high turbidity and abundant nutrients, can effectively reduce the needed testing time owing to its harsh conditions. Five test stations were established, and a floating buoy and fixed test equipment were designed. A control system, including a sensor connection, data processor, video remote transmission, and corresponding control algorithm, was developed. The control system enabled the nondestructive monitoring of biological attachments and bidirectional, real-time communication between an upper server on land and the control system at the test sites. The dissolved oxygen(DO), temperature, and pH data of DOS600 and DPS600 sensors were compared with those of AP2000 sensors. Temperature recording using the DOS600 sensor was performed nearly as well as that of the AP2000 sensor. The mean DO values(standard deviations) were 8.414 mg L-1(2.068) and 6.896 mg L-1(1.235) for the DOS600 and AP2000 sensors, respectively, indicating that the DOS600 performance was unsatisfactory. The pH recording of the DPS600 was slightly worse than that of the AP2000 sensor. Experimental results showed that the DO value was more easily affected by the buoy movement of waves compared to the pH and temperature. Moreover, data fluctuations showed that the DO and pH parameters were more vulnerable to biofouling than temperature. Waves and biofouling create a harsh test environment, and the performance difference between the developed sensors and a standard sensor can be obtained in a short time period.

关键词： offshore sensor test sites Yangtze Estuary control system communication protocol microwave sensor detection data analysis

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Advances in the detection of breast cancer by nucleic acid aptasensor

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MICROCHEMICAL JOURNAL 2024年 207卷

作者： Yang, Yue Qu, Lingli Wang, Zekai Tang, Li Tian, Siyue Zhou, Yiyang Wen, Xuyi Pan, Hongzhi Shanghai Urban Construct Vocat Coll Shanghai 201999 Peoples R China Shanghai Univ Med & Hlth Sci Shanghai 201318 Peoples R China Univ Shanghai Sci & Technol Sch Hlth Sci & Engn Shanghai 200093 Peoples R China

Breast cancer is the most prevalent malignant tumor among women globally. Early screening for breast cancer significantly enhances treatment outcomes. Biosensors offer high sensitivity, simple operation, low equipment costs, and the capability to quantitatively detect diverse tumor markers. Nucleic acid aptamer sensors are composed of single stranded oligonucleotides containing DNA or RNA, which can be combined with various nanomaterials to produce more sensitive and reliable biosensor platforms. This adapter sensor has been successfully applied in sensor methods such as electrochemistry, fluorescence, surface-enhanced raman spectroscopy, field effect transistors, microfluidic chips, paper-based sensing, etc., with significant specificity, stability, and good biocompatibility. Nucleic acid aptamer sensors are highly favored due to their sensitivity, responsiveness, and selectivity. This review mainly discusses the nucleic acid aptamer sensors using various sensitivity enhancement techniques and nanomaterials to detect the biomarkers, and provides a brief overview of their application prospects.

关键词： Breast cancer Nucleic acid aptamer sensor detection

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Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier sensors

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FUTURE INTERNET 2022年第10期14卷 297-297页

作者： Meqdad, Maytham N. Kadry, Seifedine Rauf, Hafiz Tayyab Al Mustaqbal Univ Coll Comp Tech Engn Dept Hillah 51001 Iraq Noroff Univ Coll Dept Appl Data Sci N-4612 Kristiansand Norway Lebanese Amer Univ Dept Elect & Comp Engn Byblos 1102 Lebanon Ajman Univ Coll Engn & Informat Technol Artificial Intelligence Res Ctr AIRC Ajman 20550 U Arab Emirates Staffordshire Univ Ctr Smart Syst AI & Cybersecur Stoke On Trent ST4 2DE Staffs England

Things receive digital intelligence by being connected to the Internet and by adding sensors. With the use of real-time data and this intelligence, things may communicate with one another autonomously. The environment surrounding us will become more intelligent and reactive, merging the digital and physical worlds thanks to the Internet of things (IoT). In this paper, an optimal methodology has been proposed for distinguishing outlier sensors of the Internet of things based on a developed design of a dragonfly optimization technique. Here, a modified structure of the dragonfly optimization algorithm is utilized for optimal area coverage and energy consumption reduction. This paper uses four parameters to evaluate its efficiency: the minimum number of nodes in the coverage area, the lifetime of the network, including the time interval from the start of the first node to the shutdown time of the first node, and the network power. The results of the suggested method are compared with those of some other published methods. The results show that by increasing the number of steps, the energy of the live nodes will eventually run out and turn off. In the LEACH method, after 350 steps, the RED-LEACH method, after 750 steps, and the GSA-based method, after 915 steps, the nodes start shutting down, which occurs after 1227 steps for the proposed method. This means that the nodes are turned off later. Simulations indicate that the suggested method achieves better results than the other examined techniques according to the provided performance parameters.

关键词： Internet of things sensor detection improved dragonfly optimization algorithm

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Preparation and application of Janus nanoparticles: Recent development and prospects

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COORDINATION CHEMISTRY REVIEWS 2022年 454卷 214318-214318页

作者： Li, Xiaoshuang Chen, Ligang Cui, Di Jiang, Wei Han, Lixia Niu, Na Northeast Forestry Univ Coll Chem Chem Engn & Resource Utilizat Key Lab Forest Plant Ecol 26 Hexing Rd Harbin 150040 Heilongjiang Peoples R China

Janus particles have a noncentral symmetric structure. Since they have two or more different physical and chemical properties, they show different properties and application potential of isotropic particles. Janus nanoparticles have been extensively used in catalysts, surfactants, nanosensors and cancer therapy. This review outlines the different types of techniques for designing and synthesizing Janus nanoparticles. It also describes the latest developments in Janus nanoparticle research in cancer treatment, catalysis, nanosensors and surfactants over the past few years. Finally, the future orientations of the research and the possibilities of application are discussed.(c) 2021 Elsevier B.V. All rights reserved.

关键词： Janus nanoparticles Cancer treatment Catalyst sensor detection Surfactant

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