Hardware Components Research Articles

IOT Based Light Automation System

Electronic &Telecommunication (E&TC) Department of JSPM’s Bhivrabai Sawant Institute of Technology & Research (BSIOTR) Wagholi, Pune. Light System involves controlling departmental lighting using the Internet of Things (IoT), allowing for a user-friendly automation system within the department. Instead of switching light manually ON or OFF, this system uses technology for doing it automatically. It enables automatic control of electronic appliances such as fans and lights. In this paper, we have implemented the operation of lights through the Blynk Application to control departmental light automation, allowing users to turn lights ON and OFF as needed. The system primarily utilizes the Raspberry Pi module, a crucial component of our smart light system implementation. It comprises both hardware and software components. The hardware includes Raspberry Pi 3b+ and a Relay Module, while the software utilizes the Python Language to issue commands for turning the lights ON and OFF. Raspberry Pi 3b+ module keeps all electrical Department appliances connected through a single interface for complete smart home system automation. With this setup, there is no need to use the conventional switches, and hence human effort required for the system is comparatively very less. Keywords: Department Light System , Internet of Things (IoT) , User-friendly automation, Raspberry Pi module, Relay Module, Blynk Application. .

Wireless Patient Health Monitoring System

Wireless Patient Health Monitoring Systems (WPHMS) have emerged as transformative solutions in modern healthcare, facilitating continuous and remote monitoring of patients' vital signs in real-time. This paper presents a comprehensive exploration of a Wireless Patient Health Monitoring System leveraging the Blynk app, a versatile IoT platform. The system is designed to enable seamless data collection, transmission, and visualization of critical health parameters such as pulse rate, temperature, and blood pressure. By integrating cutting-edge hardware components with intuitive software interfaces, the proposed system offers unprecedented flexibility and accessibility in patient monitoring, transcending the limitations of traditional wired monitoring systems. The research begins with a thorough review of existing literature on wireless healthcare technologies, highlighting the evolution of patient monitoring systems and the role of IoT platforms in revolutionizing healthcare delivery. Building upon this foundation, the paper proceeds to outline the hardware architecture of the WPHMS, detailing the selection and integration of microcontroller boards, sensor modules.

Development and Deployment of a High-Precision Power Factor Measurement Meter

This research article presents the development and deployment of a high-accuracy power factor measurement meter. Power factor measurement is crucial for assessing the efficiency of electrical systems and ensuring optimal power usage. The proposed meter employs advanced signal processing techniques to accurately measure both leading and lagging power factors with high precision. The design incorporates robust hardware components such as ATMega8 micro- controlling chip and sophisticated algorithms to minimize errors and provide reliable measurements even in challenging operating conditions. Experimental results demonstrate the effectiveness of the proposed meter in accurately measuring power factor across a wide range of electrical loads. The developed meter offers significant improvements in accuracy and reliability compared to existing solutions, making it suitable for various industrial and commercial applications where precise power factor measurement is essential for efficient energy management.

Predictive Analytics for Motorcycle Theft Detection and Recovery

Transportation is an integral component of our daily lives, and it is becoming increasingly common for people in the Philippines to rely on vehicles, such as motorcycles, as their primary mode of transportation. The prevalence of motorcycle theft has risen concurrently with the growing number of motorcycle users over the years. To address this issue, a system has been devised for the effective prevention and retrieval of stolen motorcycles in a timely and efficient manner. The user of this system is alerted through an alert notification when the motorcycle has been moved over a considerable distance or has been stolen. Additionally, the user can view the current location of the motorcycle, turn off the engine, and capture an image of the thief. The system is composed of two parts: hardware and software modules. The hardware component includes a micro-controller, GSM, GPS, and a camera. The motorcycle serves as the primary controller of the entire system and is also responsible for its operation. According to the usability and functionality evaluation conducted, it was discovered that most users strongly agreed on the usefulness of the system.

Development of a Multiplexing Injector for Gas Chromatography for the Time-Resolved Analysis of Volatile Emissions from Lithium-Ion Batteries.

Multiplex sampling, so far mainly used as a tool for S/N ratio improvement in spectroscopic applications and separation techniques, has been investigated here for its potential suitability for time-resolved monitoring where chromatograms of transient signals are recorded at intervals much shorter than the chromatographic runtime. Different designs of multiplex sample introduction were developed and utilized to analyze lithium-ion battery degradation products under normal or abuse conditions to achieve fast and efficient sample introduction. After comprehensive optimization, measurements were performed on two different GC systems, with either barrier discharge ionization detection (BID) or mass spectrometric detection (MS). Three different injector designs were examined, and modifications in the pertinent hardware components and operational conditions used. The shortest achievable sample introduction time was 50 ms with an interval of 6 s. Relative standard deviations were lower than 4% and 10% for the intra- and inter-day repeatability, respectively. The sample introduction system and column head pressure had to be carefully controlled, as this parameter most critically affects the amount of sample introduced and, thus, detector response. The newly developed sample introduction system was successfully used to monitor volatile degradation products of lithium-ion batteries and demonstrated concentration changes over the course of time of the degradation products (e.g., fluoroethane, acetaldehyde and ethane), as well as for solvents from the battery electrolyte like ethyl carbonate.

Smart Temperature and Humidity Tracker

The HC-05 Bluetooth module for data transmission, the things of network (IoT) smart temperature and humidity tracker presents an economical and effective Wireless Bluetooth Temperature and Humidity Monitoring System. Real-time temperature is offered by the system in a variety of situations, including homes, workplaces, warehouses, and agricultural settings. A dependable communication link between the monitoring devices and a central monitoring station—usually a computer or smartphone—is supplied by the HC-05 Bluetooth communication. The particulars for monitoring system's creation and implementation are covered in detail, with an emphasis on how the HC-05 Bluetooth modules are integrated with temperature and humidity sensors. The system design makes sure that data is acquired, processed, and transmitted in order for users to obtain accurate and timely environmental data from a distance. Important aspects of the system. The Wireless Bluetooth Temperature and moisture sensing system, in conjunction with Network of Things(IOT)-based smart temperature and humidity tracker, essentially ushers in a new era of environmental monitoring. By combining hardware and software components in a seamless manner and adding strong security measures, the system gives users practical information about temperature dynamics, which in turn promotes a more sustainable and healthy living and working environment. Keywords—HC-05 Bluetooth, NodeMCU ESP8266, DHT11 sensor, Temperature monitoring, Thingspeak.

CNC Hot Wire Foam Cutting Machine

This research addresses the growing demand for intricate and creative wedding decorations. It proposes a CNC hot wire foam cutter design specifically for cutting Styrofoam. The machine offers precise control and automation, overcoming limitations of manual cutting for complex designs. This paper details the design process, including hardware and software components, and presents the results of cutting tests performed on various Styrofoam thicknesses and feed rates. Keywords— Arduino Uno, CNC, Cutting Foam, Hotwire, G-code

A Review on the Development of Library/Office Assistant Robots

In today's rapidly evolving landscape, the integration of assistive robots in libraries is gaining momentum. This review paper scrutinizes the evolution of library assistant robots, emphasizing their significance in enhancing operational efficiency and user experiences. Drawing upon a comprehensive analysis of existing literature, we examine various methodologies employed in the development of library assistant robots, encompassing both hardware and software components. From line-following mechanisms to sophisticated hand gesture recognition systems, the methodologies explored showcase a diverse array of approaches to address the unique needs of library environments. Our contribution lies in comparing and contrasting different approaches and technologies utilized in the development of library assistant robots. By synthesizing insights from multiple research endeavors, we offer a comprehensive overview of the advancements in this field, highlighting key technological innovations and their potential implications for future developments. Keywords— Library Assistant Robot, Pattern Recognition Robots; Visually-Guided Grasping.

Demonstrating computer vision to small‐ and medium‐sized enterprises in manufacturing: Toward overcoming costs and implementation challenges

AbstractComputer vision (CV) systems are crucial in various fields, such as manufacturing. However, the general feedback from small and medium‐sized enterprises (SMEs) in manufacturing indicates that implementing CV systems are out of reach due to their high costs, the need for expertise, and the complexities of Machine Learning (ML). To demonstrate the feasibility and applicability for SMEs, we present a cost‐effective portable CV‐based demonstrator for SMEs in manufacturing. Incorporating low‐cost hardware components, the system integrates open‐source software and employs Transfer Learning to adapt pre‐existing ML models. We present two illustrative use cases with fault detection and inventory management based on plastic brick datasets including various colors and shapes to demonstrate the system's effectiveness. Bringing this into a showable demonstrator, all components are integrated into a portable suitcase as a plug and play demonstration. We showcase the portable demonstrator at German television and four different industrial fairs, leveraging these dynamic platforms for direct interaction with SMEs and stakeholders. Firsthand insights and feedback from SMEs regarding our demonstration and their challenges, as well as opportunities for CV in manufacturing were received and summarized in this research.

Memristive Hopfield neural network with multiple controllable nonlinear offset behaviors and its medical encryption application

Memristors possess inherent nonlinearity and synaptic attributes, rendering them more suited for integration as synapses within neural networks compared to resistors. Furthermore, their utilization induces significant alterations in the dynamic behavior of neural networks, hence bestowing considerable value in the realm of secure communication applications. In this paper, an improved cosine memristor is proposed, three representative memristor Hopfield neural networks (MHNNs) are constructed using it as synapse. The MHNNs exhibit rich initial offset boost behaviors, we summarize these phenomena into four types based on the offset characteristics. In particular, these offset types can be converted by adjusting internal parameters of the memristor. In addition, the MHNNs are constructed and tested using both software and hardware components, validating the accuracy of theoretical simulation and the implementation of systems. Ultimately, a set of bit-plane level medical image encryption algorithm is proposed on the basis of MHNNs, which has excellent encryption performance and can effectively protect the privacy of patients.

Theory and evidence-base for a digital platform for the delivery of language tests during awake craniotomy and collaborative brain mapping

ObjectivesBuild the theoretical and evidence-base for a digital platform (map-OR) which delivers intraoperative language tests during awake craniotomy and facilitates collaborative sharing of brain mapping data.DesignMixed methodology study including two...

Multi-Sensor Device for Traceable Monitoring of Indoor Environmental Quality.

The Indoor Environmental Quality (IEQ) combines thermal, visual, acoustic, and air-quality conditions in indoor environments and affects occupants' health, well-being, and comfort. Performing continuous monitoring to assess IEQ is increasingly proving to be important, also due to the large amount of time that people spend in closed spaces. In the present study, the design, development, and metrological characterization of a low-cost multi-sensor device is presented. The device is part of a wider system, hereafter referred to as PROMET&O (PROactive Monitoring for indoor EnvironmenTal quality & cOmfort), that also includes a questionnaire for the collection of occupants' feedback on comfort perception and a dashboard to show end users all monitored data. The PROMET&O multi-sensor monitors the quality conditions of indoor environments thanks to a set of low-cost sensors that measure air temperature, relative humidity, illuminance, sound pressure level, carbon monoxide, carbon dioxide, nitrogen dioxide, particulate matter, volatile organic compounds, and formaldehyde. The device architecture is described, and the design criteria related to measurement requirements are highlighted. Particular attention is paid to the calibration of the device to ensure the metrological traceability of the measurements. Calibration procedures, based on the comparison to reference standards and following commonly employed or ad hoc developed technical procedures, were defined and applied to the bare sensors of air temperature and relative humidity, carbon dioxide, illuminance, sound pressure level, particulate matter, and formaldehyde. The next calibration phase in the laboratory will be aimed at analyzing the mutual influences of the assembled multi-sensor hardware components and refining the calibration functions.

Smart Wet and Dry Waste Management System Using IoT

Abstract: Waste management is one of the important aspects when it comes to avoiding diseases caused by unsegregated waste. Many people have lesser knowledge about what is wet and dry waste. The escalating global waste generation hasled to a pressing need for innovative waste management solutions that are efficient, sustainable, and technologically advanced. This abstract introduces a "Smart Dry and Wet Waste Management System" that leverages the Internet of Things (IoT) to revolutionize waste management practices. Traditional waste management systems often lack real-time monitoring and optimization capabilities, resultingin inefficiencies, environmental concerns, and increased operational costs. The proposed system aims to address these challenges by integrating IoT technologies, sensor networks, and data analytics into waste collection and disposal processes.The main objective is to automate the segregation system thereby removing the human intervention. The hardware components such as Arduino, sensors, LCD are used to build the system. The integration of IoT in waste management contributes to a cleaner environment, reduced operational costs, and increased overall efficiency. By preventing overflows, minimizing unnecessary collection trips, and promoting recycling practices, the system aligns with sustainable waste management goals. Moreover, the collected data can be analyzed over time to identify longterm trends, enabling continuous optimization of waste management strategies..

Intelligent Traffic Light Control System

Abstract: The "Intelligent traffic light control system " project introduces an innovative approach to traffic management, aiming to expedite emergency vehicle passage. Utilizing Zigbee and Radio-Frequency Identification (RFID) technology, this system assigns a unique RFID tag to each vehicle, enabling precise tracking and control at traffic junctions. The scenarios involving emergency vehicle clearance, the system's responsiveness shines. When an emergency vehicle clearance approaches, the system rapidly receives the signal from zigbee transmitter associated with it and promptly triggers a green signal at the traffic junction. This prioritization ensures that emergency vehicles can navigate the traffic with minimal delays, potentially saving lives. Another remarkable feature of the system is stolen vehicle detection capability. In the event that a vehicle with a specific RFID tag is reported as stolen, the system is programmed to take action. It sends immediate SMS notifications to relevant authorities, such as law enforcement or the vehicle owner. This proactive response enhances the chances of recovering stolen vehicles and contributes to overall security. The hardware components of this system include Arduino Uno. Arduino Uno serves as the central control unit, processing RFID data and executing signal adjustments, while the GSM module facilitates real-time communication, enabling SMS alerts and notifications. The " Intelligent traffic light control system " project exemplifies how RFID technology and zigbee technology can revolutionize traffic management. By incorporating data analysis and automation, this system offers a multifaceted solution to common traffic-related challenges.

Smart Attendance System (Multi-Factor Authentication)

Abstract: The "SMART Attendance System using Facial and OTP Verification" project aims to revolutionize traditional attendance management processes by integrating advanced biometric technologies. In this project, a sophisticated system is developed to automate attendance tracking using facial recognition and OTP verification methods. The system utilizes computer vision algorithms to accurately identify individuals based on their facial features, ensuring reliable attendance recording. Additionally, OTP verification adds an extra layer of security, enhancing the integrity of the system. The project encompasses the design and implementation of the software and hardware components required for seamless operation. Through this innovative solution, organizations can streamline attendance monitoring, improve efficiency, and mitigate identity fraud. The project not only offers a practical application of emerging technologies but also provides valuable insights into biometric authentication systems' development and deployment.

Enhancing Mood Based Music Selection through Physiological Sensing Technology

Abstract: This research paper presents the development of an emotional sensor system that combines computer vision techniques with physiological sensors to detect and analyse facial expressions. The system utilizes a webcam for capturing facial images and integrates Arduino-based hardware components such as a pulse sensor, temperature sensor, galvanic skin sensor, and heart rate sensor for comprehensive emotional analysis. The proposed system aims to contribute to various fields such as human-computer interaction, psychology, and healthcare by providing a non-invasive and real-time method for emotion detection and monitoring.

EFEKTIVITAS SISTEM INFORMASI AKUNTANSI PENJUALAN (Studi Kasus: UMKM Penggilingan Biji Plastik Masrur Tangerang)

Accounting information systems manage various transaction data, both financial and non- financial, which influence the processing of financial transactions. Effectiveness is a benchmark that describes the extent to which goals are to be achieved. The purpose of this research is to determine the effectiveness of implementing an accounting information system implemented by the Masrur Tangerang Plastic Seed Milling UMKM. This is a qualitative research, and researchers collect data through observation, interviews, and documentation. The results of this research indicate that the sales accounting information system at the Masrur Iron Ore Milling UMKM has been running well and implemented very simply. This is because the system is implemented manually where document archiving is still not optimal and sales invoice documents have not been archived and are still being recorded in MS. Excel. Additionally, effectiveness The accounting information system, seen from an internal control perspective, has not been able to meet the owner's immediate needs. This can be seen from the research findings, which shows that the system used should involve technology by adding hardware components and software components and can also add network components such as WiFi or hotspots so that the resulting accounting information is free from the risk of errors and data backup can be carried out optimally.

IoT Based Smart Parking System

Abstract: The IoT-based smart parking system represents an innovative approach to alleviating the prevalent issues of parking shortages and traffic congestion in modern cities. By integrating advanced hardware components and software applications, this system aims to enhance transportation efficiency and sustainability while improving commuter experiences. At its core lies the ESP32 microcontroller, orchestrating data processing from various sensors including parking and traffic IR sensors. These sensors enable real-time monitoring of parking availability and traffic flow, with data seamlessly transmitted to an LCD display for immediate visualization. Additionally, commuters can access this information remotely through a mobile application or web portal, empowering them to make informed travel decisions. The system's standout feature, the smart parking allocation system (SPAS), allows users to locate and reserve parking spaces in advance, effectively reducing the time spent searching for spots and consequently mitigating traffic congestion. Overall, the integration of IoT technology into transportation infrastructure offers a promising solution to the challenges of urban mobility, fostering efficiency, sustainability, and improved commuter satisfaction.

On-premises superconducting quantum computer for education and research

With a growing interest in quantum technology globally, there is an increasing need for accessing relevant physical systems for education and research. In this paper we introduce a commercially available on-site quantum computer utilizing superconducting technology, offering insights into its fundamental hardware and software components. We show how this system can be used in education to teach quantum concepts and deepen understanding of quantum theory and quantum computing. It offers learning opportunities for future talent and contributes to technological progress. Additionally, we demonstrate its use in research by replicating some notable recent achievements.

DESIGN AND PRINTING OF HELICAL GEAR WITH RESIN 3D PRINTING MACHINE

Stereolithography 3D printing (SLA) has evolved into a leading additive manufacturing technology, revolutionizing various industries with its precision and versatility. This paper provides a comprehensive overview of the advances and challenges in SLA 3D printing technology. This overview begins with an overview of the principles of SLA printing, including the photopolymerization process and the role of digital slicing software in creating printable 3D models. Next, recent advances in materials such as photopolymer resins have improved mechanical, biocompatibility, and functional properties, expanding the applications of his SLA printing in areas such as aerospace, healthcare, and consumer products. This section explains. Additionally, this review addresses improvements to hardware components such as light sources, build platforms, and optical systems, resulting in increased print speed, resolution, and reliability. Additionally, the impact of advances in post-processing techniques such as UV curing, rinsing, and surface finishing on the final print quality will be investigated. Key Words: Stereolithography, photopolymerization, 3D printing, hardware, UV curing, rinsing.