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2nd International Workshop on Model-Driven Organizational and Business Agility, MOBA 2022, held in conjunction with the 34th International conference on advanced Information systems Engineering, CAiSE 2022

2nd International Workshop on Model-Driven Organizational an...

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2nd International Workshop on Model-Driven Organizational and Business Agility, MOBA 2022, held in conjunction with the 34th International conference on advanced Information systems Engineering, CAiSE 2022

ISBN: (纸本)9783031177279

The proceedings contain 11 papers. The special focus in this conference is on Model-Driven Organizational and Business Agility. The topics include: Using Self-paced Multimedia Courses to Create Individual Student Trajectories;preface;cross-Pollination of Personas, User Stories, Use Cases and Business-Process Models;application of an Adaptive Domain-Specific interface in a Decision-Support system for Planning Railroad Technical Services;IT Crisisology: New Discipline for Business Agility;proposal for Determining the Angular Position of Artificial Intraocular Lens in the Human Eye;agile Game in Practice;formulation of Agile Business Rules for Purchasing control system Components Process Improvement;a Business Intelligence Tool for Explaining Similarity.

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Design of RTOS-based Wireless Remote Monitoring system for Indoor Environment 23

Design of RTOS-based Wireless Remote Monitoring System for I...

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Proceedings of the 2023 12th International conference on Networks, Communication and Computing

作者： Peizhi Zhu Dajun Li Lihui Guo Fanqiang Lin Chengdu University of Technology China

ISBN: (纸本)9798400709265

With the development of low-cost microcontrollers, sensors and wireless communications, intelligent environment monitoring based on the Internet of Things (IoT) has become possible. In this paper, an indoor environment monitoring system constructed by sensor network is realized. The system consists of distributed sensing nodes, which contain temperature and humidity, human infrared, voice recognition and camera sensors, etc. The nodes are connected to STM32 microcontrollers and WIFI modules and are scheduled in real time using free real time operating system(FreeRTOS). The visual and time series sensing data are transmitted to the server via WIFI in real time, and the user can monitor the system remotely by using the PYQT interface program on the PC. The system can also control home appliances by voice. The data interaction uses self-built WIFI module in AP mode for SOCKET communication. Through rigorous testing, the system demonstrates the capability of data communication, low-latency video streaming, and bi-directional control. The sensor network and real-time OS based architecture utilizes parallel execution to balance different temporal tasks and realize an agile cyber-physical system. This paper provides a reference for the underlying software infrastructure of intelligent buildings, embodying the integrated application of real-time scheduling, sensor networks and human-computer interaction.

关键词： Internet of Things Real Time Operating system STM32 data acquisition sensor networks WIFI

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advanced Intelligent Pedestrian Crossing system

Advanced Intelligent Pedestrian Crossing System

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Emerging Smart Computing and Informatics (ESCI), conference on

作者： S Umamaheswari S Pranesh N Arun R Sohiththarun Kumaraguru College of Technology Electronics and Communication Engineering Coimbatore India

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

The increasing number of pedestrians in urban areas, coupled with the rise in road accidents, highlights the need for innovative solutions to enhance pedestrian safety. This paper presents an advanced Intelligent Pedestrian Crossing system that leverages cutting-edge technology to optimize the safety and efficiency of pedestrian crossings. Utilizing an ESP32 microcontroller, Pulse Width Modulation (PWM), and advanced sensors, the system intelligently monitors pedestrian and vehicular traffic in real-time to regulate crossing signals. The core functionality of this system includes dynamic traffic light management, prioritization of emergency vehicles, pedestrian detection, and adaptive signal timing based on traffic conditions and pedestrian flow. The system integrates infrared (IR) sensors and cameras, to detect the presence of pedestrians at crosswalks and determine the most appropriate time to allow crossing. Furthermore, the use of PWM allows for efficient control of crossing signals and lighting, reducing power consumption while maintaining performance. By implementing this intelligent system, cities can reduce pedestrian-related accidents, improve traffic flow, and enhance overall road safety [1] [2].

关键词： Pedestrians Adaptive systems Microcontrollers Urban areas Pulse width modulation sensor systems Road safety Real-time systems Safety Intelligent sensors

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A Wearable Low-Power Collaborative Sensing system for High-Quality SSVEP-BCI Signal Acquisition

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IEEE INTERNET OF THINGS JOURNAL 2022年第10期9卷 7273-7285页

作者： Na, Rui Zheng, Dezhi Sun, Ying Han, Mingzhe Wang, Shuai Zhang, Shuailei Hui, Qianxin Chen, Xinlei Zhang, Jun Hu, Chun Beihang Univ Sch Instrumentat & Optoelect Engn Beijing 100191 Peoples R China Beihang Univ Beijing Adv Innovat Ctr Big Data Based Precis Med Key Lab Precis Optomechatron Technol Res Inst Frontier Sci Beijing 100191 Peoples R China Jiaxing Key Lab Collaborat Detect & Control Compl Jiaxing 314011 Peoples R China Beihang Univ Res Inst Frontier Sci Beijing 100191 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Tsinghua Berkeley Shenzhen Inst Shenzhen 518000 Peoples R China Beijing Inst Technol Adv Res Inst Multidisciplinary Sci Beijing 100811 Peoples R China

The brain-computer interface (BCI) technology improves the communication efficiency between people and Internet of Things (IoT) devices. BCI based on the steady-state visual evoked potential (SSVEP-BCI) is the preferred scheme for controlling devices because of its convenient operation, low training requirement, and high information transmission rate (ITR). Most signal acquisition devices for BCIs are used for medical diagnosis and scientific research and utilize multiple channels and wet electrodes to obtain high-quality signals. However, the practicability, wearability, and cost of the signal acquisition devices for real-life applications need to be considered, resulting in new requirements for the acquisition mode, the number of electrodes, power consumption, and signal processing methods. This article presents a wearable low-power collaborative sensing system based on a time mask window canonical correlation analysis method (TMW-CCA). An 8-array spring dry electrode signal acquisition device based on a flexible circuit board is designed to address the shortcomings of traditional wet electrode acquisition devices, such as high-power consumption, discomfort, and being unsuitable for long-time use. The proposed TMW-CCA method, which uses a dry electrode sensor to evaluate the time domain's signal quality dynamically, exhibits 12.5% higher steady-state visual evoked potential recognition accuracy and 40% lower average power consumption (only 740 mW) than the benchmark.

关键词： Electrodes sensors Power demand Electroencephalography Collaboration Internet of Things Visualization eHealth and mHealth embedded devices low-power devices and circuits low-cost sensors and devices sensor signal processing

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Thread based Resistive sensor for Tactile and Slippage Detection in Smart Bionics

Thread based Resistive Sensor for Tactile and Slippage Detec...

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Applied Sensing conference (APSCON), IEEE

作者： Benish Jan Mudra Chavda Sameer Sonuksale Shahid Malik Centre for Sensors Instrumentation and Cyber Physical System Engineering Indian Institute of Technology Delhi New Delhi India Department of Electrical and Computer Engineering Tufts University Medford Boston USA

One of the remarkable features of the human tactile system is the perception of slippage over a diverse range of object dimensions, weights, shapes, textures, and stiffness. advanced prosthetics strive for more natural and intuitive performance, hence slippage anticipation and prevention being indispensable for an artificial hand. Numerous sensor and circuit topologies have been used in the state-of-the-art. Multi-modal sensor integration for static and dynamic measurements, complex design, wearability, sensitivity, hysteresis, and cost are still the significant challenges faced. In this work, a simple, low-cost, flexible thread-based resistive strain/force sensor is fabricated and interfaced with a current source excitation-based resistance measurement circuit. The sensor exhibits excellent performance for slip detection by showing selectivity to the static and dynamic measurements corresponding to the event of initial object contact and slippage instances, respectively. The proposed circuit topology promises better sensitivity, resolution, and baseline resistance compensation, leveraging the system’s effectiveness for slippage detection. Experimental result shows the sensor can measure a displacement as small as 0.1 mm. This method can generate further control actions for slippage prevention thereafter.

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Self-Sustaining Fish Tank system Using Arduino Uno

Self-Sustaining Fish Tank System Using Arduino Uno

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International conference on control and Robots (ICCR)

作者： Bernard C. Fabro Minerva C. Zoleta Jose C. Felipe Ador G. Utulo Kaye Angela Parillas Computer Engineering Eulogio “Amang” Rodriguez Institute of Science and Technology Nagtahan Sampaloc Manila

ISBN: (数字)9798331518158

ISBN: (纸本)9798331518165

In the field of aquaculture, numerous studies indicate that traditional fishkeeping faces significant challenges due to the manual maintenance required, leading to inefficiencies such as inconsistent cleaning, feeding, and water quality management, that can be improved by integrating automation and smart technologies. This experimental research, conducted in Metro Manila, Philippines, aims to test and refine the Self-sustaining Fish Tank system. By evaluating the accuracy and effectiveness of integrated sensors and automated components, the study seeks to enhance the system's performance in maintaining optimal aquatic conditions. An experimental research approach was employed, utilizing multiple methods including observation for data collection. Quantitative data analysis using descriptive and paired two-test statistical tools assessed the performance of the Self-sustaining Fish Tank system using Arduino Uno. The study's findings highlighted significant improvements in sensor reliability and consistency during operational tests with and without fish. Specifically, the water level sensor demonstrated enhanced responsiveness during pump activations, while the pH sensor stabilized effectively with fish present. The fish feeder consistently dispensed food every 12 hours, ensuring reliable feeding throughout the study periods. The study concludes that variations in sensor performance, particularly in pH and turbidity measurements, highlight the need for continued refinement to ensure consistent control across different environmental conditions. Future research should explore advanced sensor integration for improved accuracy and reliability, especially for critical parameters like water quality. Additionally, the adoption of IoT-based solutions with wireless modules is recommended for enhanced real-time monitoring and remote control via mobile apps or web interfaces.

关键词： Temperature sensors Wireless communication Temperature measurement Schedules Accuracy Turbidity Fish sensor systems Reliability Intelligent sensors

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IoT based Cloud Kitchen Optimization using Fuzzy Intelligence and advanced Signal Processing

IoT based Cloud Kitchen Optimization using Fuzzy Intelligenc...

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Sustainable Expert systems (ICSES), International conference on

作者： Deepak Sharma Himali Lakhera Ishan Bakshi Suresh Chauhan Maharishi Markandeshwar (Deemed to be University) Mullana-Ambala India School of Hospitality GNA University Phagwara Punjab India

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540371

The task of managing a kitchen is often regarded as challenging, notwithstanding numerous advancements in technology. Consequently, there is a clear need for kitchen operations to be streamlined for ease. The innovative Kitchen concept leverages the Smart Ecosystem in its design and incorporates a smartphone application as the end-user interface. Within the advanced Kitchen, the grocery operations framework, a fuzzy logic framework for flexible cooking, and signal handling for detecting the cooktop's whistle are included. The grocery operations system is equipped with a single ultrasonic transducer to gauge stock levels, and a wireless connectivity module facilitates data enhancements to a specific cloud-based key. Through the mobile application, users are able to view the remaining quantities of items, receive shortage alerts, and access the shopping list. The hardware components for stock management and kitchen safeguarding it involves the transmission of data from sensors to the cloud. sensor values can be accessed even if the user is away from home. Future research could explore the hardware implementation of fuzzy logic on Arduino, where inputs might be received through a keypad and outputs displayed on an LCD, achieving full system independence. Similarly, if whistle specimens are captured via a mic and the tally is shown on an LCD screen, the system would also become self-sufficient.

关键词： Fuzzy logic Wireless communication Ultrasonic transducers Cloud computing Microwave integrated circuits Wireless sensor networks Software packages Hardware Liquid crystal displays sensors

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Python Technology Used For A Human-Machine interface In sensors And Transducers Laboratory 12

Python Technology Used For A Human-Machine Interface In Sens...

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12th International conference and Exposition on Electrical and Power Engineering, EPE 2022

作者： Branzila, Marius Sarmasanu, Constantin Ursachianu, Ionut-Alexandru Gheorghe Asachi Technical University of Iasi Electrical Measurements and Materials Iasi Romania Gheorghe Asachi Technical University of Iasi Iasi Romania

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

Considering new trends in systems and microsystems to use Open-Source, we realized a graphic user interface (GUI), based on Python technologies, for helping the students to take measurements in the sensors and transducers laboratory. It is a tool for keeping track of students and grading them using an electronic grid test. The solution presented is to develop a method for monitoring and control of motor speed using a sensory system to take measurements, in the laboratory (on-site). The sensors used are a magnetic encoder, a capacitive proximity sensor, and a stroboscope. Through the electronic grid test, we can evaluate the student's preliminary knowledge, then, using our GUI, students can manage the measurements automatically: inputs of experimental data, report generation with tables, graphs, and measurement errors. The grades obtained by the students are sent by e-mail, to the teacher, thus easing the routine work. © 2022 IEEE.

关键词： Python

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Remote Monitoring and control for a Lab-Scaled Valve control system

Remote Monitoring and Control for a Lab-Scaled Valve Control...

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IEEE International conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

作者： Abdul Malik Bin Mohd Ali Shafishuhaza Sahlan Mohd Amri Md. Yunus Khairul Ijlal Rosli Ng Zi Gen Mohamad Shukri Abdul Manaf Electrical Electronic & Automation Section Universiti Kuala Lumpur Malaysian Spanish Institute (UniKL MSI) Kedah Malaysia Centre for Artificial Intelligence and Robotics Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia ZEC Engineering Sdn. Bhd. Johor Bahru Malaysia

ISBN: (数字)9798350365283

ISBN: (纸本)9798350365290

In this paper, an automated control valve system utilizing the Panasonic Programmable Logic controller (PLC) AFPSWC is developed. Panasonic control Web Creator software is used to develop the Supervisory control and Data Acquisition (SCADA) system for remote control and monitoring purposes. To increase the efficiency of the operator, a user-friendly Human Machine interface (HMI) is developed for the system. The lab-scaled control valve system consists of a supply tank, a reservoir tank, a control valve with a positioner, water level sensors, flow rate sensor and motor pump. The water level in the reservoir tank will be controlled by regulating the percentage of the control valve opening. The parameters such as incoming water flow rate, water levels in the supply tank and reservoir tank, incoming and outgoing motor frequencies and percentage of valve opening will be analysed. The communication protocol, Ethernet/IP is used to set up communication between the PLC and devices for remote monitoring and control purposes. The customized HMI can monitor the physical parameters in real time, while the predetermined water volume and motor pump frequencies can be controlled remotely. With the implementation of the remote monitoring system, the efficiency of the system is 97.6%.

关键词： Time-frequency analysis SCADA systems Valves Reservoirs Motors sensor systems Real-time systems

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Smart Safety system for Driver and Passenger Protection

Smart Safety System for Driver and Passenger Protection

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Data Science, Agents & Artificial Intelligence (ICDSAAI), International conference on

作者： Sudharsan S Rajesh S Selvam N Sangeeth Raj P S Babu Prasad R Duraimurugan A Department of Electrical and Electronics Engineering M. Kumarasamy College of Engineering Karur Department of Computer Science and Business System M. Kumarasamy College of Engineering Karur

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

The Smart Safety system is designed to enhance road safety by monitoring both the driver and passenger activities and ensuring proactive measures are taken to prevent accidents. The system leverages sensors and real-time data monitoring to ensure driver sobriety and attentiveness while also alerting the driver about potential passenger hazards. The system primarily focuses on two areas: driver safety and passenger detection. On the driver’s side, an alcohol sensor detects any sign of intoxication, and an eye-blink sensor monitors the driver’s focus, especially if distracted by using a phone. If intoxication is detected, the vehicle is automatically disabled through the motor control system, and an alert is triggered via an alarm and notification sent to a web-based platform. If the driver is distracted or drowsy, a warning alarm is activated. On the passenger side, an IR sensor and an ultrasonic sensor detect whether passengers are improperly standing or not seated, and a notification is displayed to the driver. The system integrates an Arduino Uno with several sensors, including alcohol, eye-blink, IR, and ultrasonic sensors. The collected data is transmitted wirelessly through a Wi-Fi module to a cloud platform, such as ThingSpeak, and then displayed on a website built with Java, HTML, and JavaScript. The website provides a login interface to enroll driver information and monitor alcohol sensor readings. In case of driver intoxication, the system triggers the suspension of the vehicle by turning off the motor. This smart safety system provides an efficient, real-time mechanism for preventing road accidents by monitoring driver behavior and ensuring passenger safety.

关键词： Cloud computing Motors sensor systems Real-time systems Road safety Safety Protection Monitoring Intelligent sensors Vehicles

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