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Neural Network for UWB Radar sensor Network-Based Sense-through-Wall Human Detection 1

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11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Bhole, Dheeral Liang, Qilian Pan, Chenyun Department of Electrical Engineering University of Texas at Arlington Tarrant ArlingtonTX76019 United States

ISBN: (数字)9789819926534

ISBN: (纸本)9789819926527

Human detection through wall is a very critical and challenging task. In this paper, we present a neural network-based method using Ultra-wideband radar to detect a human through wooden door, gypsum wall and brick wall. We consider the tough problem of stationary human detection through wall and door. We employ various machine learning models for this task and achieve an excellent average accuracy of 92.67% with neural network-based method. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Research and Design of CO2 Concentration Monitoring System Based on sensor Information Acquisition Technology 11th

Research and Design of CO2 Concentration Monitoring System B...

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Ni, Bingqian Zhang, Shiyuan School of Information Engineering Suzhou University Anhui Suzhou234000 China

ISBN: (纸本)9789819926527

In order to solve the problem of detecting CO2 concentration in the air, an information acquisition and concentration monitoring system based on CO2 concentration sensor is designed. Firstly, the overall framework of CO2 concentration monitoring system is designed, including sensor module design, signal conditioning circuit module design, main control chip circuit design and lithium battery voltage rise and fall circuit design. then, the hardware circuit connection design is carried out, including the overall connection circuit design of the main control chip stm32f103vet, the sensor circuit connection design, the LCD drive circuit design, the USB communication and upper computer data storage circuit design and the power supply circuit design. Finally, the whole software flow of CO2 concentration monitoring system is designed. the system realizes the real-time detection and storage of CO2, and can realize the information exchange and information processing of the upper computer through the data transmission interface. the system plays a very important role in improving production efficiency and energy saving and emission reduction. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Integrated circuit manufacture

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Research and Design of Frequency Quadrupler Based on CMOS 1

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Wang, Hai Wang, Zhihong Sun, Guiling Jiang, Xiaomei Bi, Chaoran Zhang, Ying Teaching Center for Experimental Electronic Information College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China Department of Electronic Information Science and Technology College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China College of Media Design Tianjin Modern Vocational Technology College Tianjin300350 China Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Tianjin300071 China

ISBN: (数字)9789819926534

ISBN: (纸本)9789819926527

With the continuous development of wireless communication technology, the public has an increasingly strong demand for modern communication systems with better performance. As a vital component of RF front-end circuit, frequency multiplier is usually applied in the transmitter to generate high-frequency signal. CMOS integrated circuit, with the advantages of high integration, small volume and low cost, is widely used in communication, radar, civil, military and other fields. this paper focuses on the operating principle of frequency multiplier and the design method of triode frequency multiplier. Based on CMOS technology, a quadrupler with 4GHz output frequency is designed with ADS simulation software after debugging and optimization, which is applied to undergraduate teaching of professional experiment of electronic information science and technology. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： CMOS integrated circuits

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From conception to clinical trial: IViST, the first multi-sensor-based platform for real-time In Vivo Source Tracking in HDR brachytherapy 11

From conception to clinical trial: IViST, the first multi-se...

引用

11th International conference on 3D and Advanced Dosimetry (IC3Ddose)

作者： Rosales, H. M. Linares Cantin, Audrey Aubin, Sylviane Beddar, Sam Beaulieu, Luc Univ Laval Dept Phys Genie Phys & Opt Quebec City PQ Canada Univ Laval Ctr Rech Canc Quebec City PQ Canada Univ Laval Dept Radiooncol & Axe Oncol CHU Quebec CRCHU Quebec Quebec City PQ Canada Univ Texas MD Anderson Canc Ctr Dept Radiat Phys Houston TX 77030 USA Univ Texas Md Anderson UTHlth Grad Sch Biomed Sci Houston TX USA

this study is aimed to introduce a novel multi-sensor-based dosimetry platform for real-time plan monitoring in HDR brachytherapy: IViST (In Vivo Source Tracking). IViST is a platform composed of three components: 1) an optimized and characterized multi-point plastic scintillator dosimeter (3 points mPSD;using BCF-60, BCF-12, and BCF-10 scintillators), 2) a compact assembly of photomultiplier tubes (PMTs) coupled to dichroic mirrors and filters for high-sensitivity scintillation light collection, and 3) a Python-based graphical user interface used for system management and signal processing. IViST can simultaneously measure dose, triangulate source position, and measure dwell time. By making 100 000 measurements/s, IViST samples enough data to quickly perform key QA/QC tasks such as identifying wrong individual dwell time, position, or interchanged transfer tubes. By using 3 co-linear sensors and planned information for an implant geometry, the platform can also triangulate source position in real-time. A clinical trial to validate this system is presently on-going using the IViST system.

关键词： Graphical user interfaces

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Simulation Design of a Low Noise Amplifier with 2.5 GHz Operating Frequency 1

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Wang, Hai Sun, Guiling Wang, Zhihong Zhang, Yi Jiang, Xiaomei Zhang, Ying Teaching Center for Experimental Electronic Information College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China Department of Electronic Information Science and Technology College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China Institute of Photoelectronic Thin Film Devices and Technology and Tianjin Key Laboratory of Thin Film Devices and Technology Nankai University Tianjin300350 China Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Tianjin300071 China

ISBN: (数字)9789819926534

ISBN: (纸本)9789819926527

Nowadays the wireless communication infrastructure industry is facing with a number of great challenges, such as providing better signal quality and wider coverage in a crowded spectrum. Low noise amplifier (LNA), a significant component of communication system, plays an important role in modern wireless communication, radar, electronic countermeasure system between countries and so on. the sensitivity performance of the base station receiver can be dramatically improved by a suitable amplifier, especially the first stage LNA. In this paper, a low noise amplifier with an operating frequency of 2.5 GHz is designed with the help of the simulation software. the minimum values of input return loss S11 and output return loss S22 are −19.232 dB and −29.422 dB respectively. the maximum gain is 14.567 dB at the center frequency. Besides, the stability coefficient K is greater than 1 and the noise figure (NF) is 0.662 dB. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Low noise amplifiers

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Research on Odor Source Location Tracking Method Based on Multi-sensor Information Fusion Technology of Fuzzy Integral Fusion Algorithm 11th

Research on Odor Source Location Tracking Method Based on Mu...

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Wang, Mengyu School of Information Engineering Suzhou University Anhui Suzhou234000 China

ISBN: (纸本)9789819926527

In order to improve the effect of odor source location tracking, multi-sensor information fusion is used to extract the odor source location tracking environment feature information, and these feature information are fused by multi-information fusion technology to improve the actual effect of odor source location tracking. Firstly, the fuzzy-integrated information fusion algorithm is used to extract the features of the odor source model from the concentration, visual detection and infrared obstacle avoidance sensors. the fuzzy membership degree and the fuzzy density are determined. the fusion rule is used to determine the target is true. Confidence;then, with the support of the prior knowledge base and the scent source model library, the odor source location tracking strategy of multi-source information fusion is designed. Finally, the odor source location tracking experiment platform was built according to the experimental requirements, and the validity and accuracy of the odor source location tracking strategy based on multi-source information fusion were verified. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Tracking (position)

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Wireless sensor Network’s Agricultural Monitoring System Using TDMA Based Wireless Communication 11th

Wireless Sensor Network’s Agricultural Monitoring System Us...

引用

11th International conference on Robotics, Vision, signal processing and Power Applications, RoViSP 2021

作者： Ping, Wong Ching Salleh, Mohd Fadzli Mohd School of Electrical and Electronic Universiti Sains Malaysia Seri Ampangan Pulau Pinang Nibong Tebal14300 Malaysia

ISBN: (纸本)9789811681288

Due to the growing need for a higher volume of food production by the world’s population, today’s agriculture needs to become "smart" coping with this demand. Wireless sensor Network (WSN) is no longer an idea that to be the next big thing, but the "thing" that already applied in agriculture, especially in hydroponics, aeroponics, aquaponics, etc. this work presents a wireless sensor network hydroponic system that utilizes the state-of-the-art of the IoT-based technique. this system can monitor real-time hydroponic plant parameters and analyses the parameters online via PC or smartphone. A prototype of a small network of hydroponic systems that consists of several sensor nodes will be developed. this prototype will be structured with the concept of a wireless sensor network which consists of a gateway node (controller) that connects to sensor nodes and communicates to the cloud. the sensor nodes will transmit the collected data from the sensors to the gateway node (controller) which is the receiver and store the data in the cloud by using the TDMA (Time Division Multiple Access) channels accessing method. the sensors used are pH, light intensity, water level temperature, and humidity sensors. Investigation of the changes in collecting data from sensors will be carried out to monitor the hydroponic plants in advance. thus, this project can replace the manual monitoring system, and help farmers monitoring the significant environmental factors in advance even when the farmers were to be outstation. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hydroponics

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Smart Touchless Control with Credit-Card Sized Radar sensor and Microcomputer

Smart Touchless Control with Credit-Card Sized Radar Sensor ...

引用

IEEE Global conference on Consumer Electronics (GCCE)

作者： Philip Hann Yung Lee Yilong Lu School of Electrical and Electronic Engineering Nanyang Technological University Singapore Republic of Singapore

ISBN: (纸本)9781665492331

A smart, low-cost, stand-alone, and reliable touchless human-computer interaction (HCI) using a tiny 60 GHz radar sensor and a small Raspberry Pi microcomputer with advanced radar signal processing and machine learning (ML), is proposed and implemented. three feature extraction techniques and various ML algorithms are explored and compared. Smart gesture classification is realized by an ensemble ML model with 3 non-deep and deep learning (DL) algorithms and the majority voting scheme to improve classification accuracy. Both radar signal processing and ML algorithms are implemented in Python language in a Raspberry Pi microcomputer with an optimization by TensorFlow Lite, which reduces DL CPU time by 120 times. the proposed HCI is also integrated with a menu driven use case, which could be easily adapted to many other gesture control applications for home and industrial appliances.

关键词： Human computer interaction Home appliances Machine learning algorithms signal processing algorithms Radar Microcomputers Radar signal processing

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Design of a Low Cost Current sensor for Energy Management Applications

Design of a Low Cost Current Sensor for Energy Management Ap...

引用

IEEE Global conference on Consumer Electronics (GCCE)

作者： Phil Meier Oussama Ferhi Kris Rohrmann Marvin Sandner Marcus Prochaska Faculty of Electrical Engineering Ostfalia University of Applied Sciences Wolfenbuettel Germany

ISBN: (纸本)9781665492331

the precise measurement of electrical currents is an important enabler for many emerging applications. Especially in the context of smart homes and smart grids the sensing of currents can allow an optimized power consumption. In such cases the precises measurements of currents with an accuracy of milliamps in an predefined measurement range is often needed. In such cases available sensing concepts that are aimed for industrial applications are often unsuitable and unable to reach the desired resolution. In addition, secondary requirements such as linearity, reliability, applicability, and total system cost must be considered. this work suggests a low cost open loop setup that combines amorphous metal with a modulated hall concept to achieve a high accuracy. Furthermore it is shown that a rather small neuronal network can be used to combine signal processing and calibration in a single step which allows for fast measurements.

关键词： Training Costs Sensitivity Current measurement Smart homes signal processing sensor systems

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On-site Online Condition Monitoring of Medium-Voltage Switchgear Units 21

On-site Online Condition Monitoring of Medium-Voltage Switch...

引用

Proceedings of the 11th International conference on the Internet of things

作者： Christina Nicolaou Ahmad Mansour Kristof Van Laerhoven Robert Bosch GmbH Germany and University of Siegen Germany Robert Bosch GmbH Germany University of Siegen Germany

ISBN: (纸本)9781450385664

Our electricity networks highly rely on switchgear to control and safeguard electrical power infrastructure. It is therefore not surprising that distributed monitoring of switchgear through local sensors, signal processing and analysis in real-time, has emerged as a promising research field. Of particular interest are the non-invasive detection of switching operations, their differentiation and aging, which can be monitored by tracking acoustic emissions generated during a switching operation using small microelectromechanical system (MEMS) based sensors. this paper presents a novel and computationally efficient method that allows on-site feature selection and online classification of switchgear actions. Process- and design-specific features can be learned locally on the sensor system without the need of prior offline training. this avoids the high effort associated with adapting the model for other use cases offsite (e.g., analysis, feature selection, implementation). Besides, it offers the possibility to re-train the model, which may be required due to changes in the structure of the concerned application (e.g., replacement of components, ageing or changes in sensor position). Furthermore, the method is independent of the application, thus making it generic to other application areas. We evaluate our method as well as the MEMS sensors (acoustic and vibration) using datasets of switchgear measurements to differentiate between different switching operations. We furthermore show that the features selected by our method can be used to track changes in switching processes due to aging effects.

关键词： Medium-Voltage Switchgear Smart Grid Feature Selection Acoustic Emission Online Learning Vibration Analysis Condition Monitoring Mechanical Fault Diagnosis signal processing and Analytics in IoT Pilots

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