IoT Based Power Consumption Monitoring for Home Appliances | Chapter 5 | Intelligent IoT Systems: From Research to Real-World Solutions

 

This study seeks to create a smart system that has the potential to monitor and manage electricity use in homes by the Internet of Things (IoT) technology. Energy usage within homes is increasing due to the use of more appliances daily. This system attempts to reduce wasted power consumption and save users money by monitoring the power consumption of all home appliances in real time. The system makes use of smart meters and sensors located in real homes, and captures the data for the energy consumption of households and sends the information from the home to a central computer or to a Cloud server. The dataset that we used for this work was a combination of real-time IoT sensor readings measured within homes and previously publicly available smart energy datasets so as to be able to train and test the forecasting model. This study used machine learning forecasting generative models' long short-term memory' (LSTM) and Extreme Gradient Boost (XGBoost) to forecast power usage, where the results achieved a mean absolute error (MAE) of 2.8% and root mean square error (RMSE) of 3.5%. As stated in these results highlighted the proposed approach were effective in forecasting near-term and long-term consumption trends compared to the ground-truth. The great value of the platform includes a friendly user dashboard showing the energy consumption trends, peak usage hours, and alerts, should anything alarming happen to the household electric supply. Furthermore, the platform can provide useful information, such as optimal times to use heavy appliances to avoid unexpectedly high bills. The platform provides full support for renewable energy sources such as solar and wind energy, and can operate irrespective of the homeowners' internet speeds.

 

 

Author(s) Details

Rajendra M Jotawar
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Pragathi K N
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Vathsala M R
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-88417-94-5/CH5

 

Design and Implementation of a Voice-Activated IoT-Driven Automatic Pet Feeding System | Chapter 3 | Intelligent IoT Systems: From Research to Real-World Solutions

 

This project provides an automated voice-activated pet feeder system using an ESP32 microcontroller, an HC-05 Bluetooth module, an L298N motor driver, and a 16x2 LCD screen. Pet owners can use simple voice commands like "Feeder Open" and "Feeder Close" to feed their pets while receiving real-time information via the LCD screen, giving status updates, such as "Feeder Opening" or "Complete Feed”. Without the user needing to tap a button on an app that can cause randomisation in feeding times, the hands-free system ensures consistent feeding without risking the overfeeding of a pet or underfeeding a pet. The system works in real-life situations with an average voice recognition success rate of 93.7%. It dispenses food consistently with a portion variance of ±2%. It has a response time that is less than 500ms, reliable Bluetooth connectivity of up to 8m, and low hardware costs (estimated at less than $35), making it a much more economical solution than any commercial solution available today. The project highlights the usage of embedded systems as part of daily life, bringing convenience and peace of mind to pet owners. It represents a solid step in developing more expandable and voice-automated pet care systems that remember the trade-offs between cost and home automation. Future enhancements may include Wifi integration, so pet owners can control the feeder remotely via a mobile app and add a Real-Time Clock (RTC) module for scheduling feeding time.

 

 

Author(s) Details

Sumit Singha Chowdhury
Department of Master of Computer Applications, Acharya Institute of Technology, Bengaluru, Karnataka, India.

 

Yash Tiwari
Department of Master of Computer Applications, Acharya Institute of Technology, Bengaluru, Karnataka, India.

 

Aparna K Shekadar
Department of Master of Computer Applications, Acharya Institute of Technology, Bengaluru, Karnataka, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-88417-94-5/CH3

 

Transforming Healthcare with the Internet of Things: A Comprehensive Review of Applications and Innovations | Chapter 2 | Engineering Research: Perspectives on Recent Advances Vol. 10

 

The rapid evolution of smart technologies and communication protocols has ushered in a transformative era for the Internet of Things (IoT), particularly within the healthcare sector. This chapter provides a comprehensive review of the key applications, enabling technologies, and emerging trends in IoT-driven healthcare systems. It outlines a standard model for integrating IoT into medical infrastructures, focusing on sensor-based monitoring, data acquisition, and predictive analytics using machine learning. The discussion explores the impact of IoT on clinical workflows, remote health tracking, chronic disease management, and patient engagement. Special emphasis is placed on network architectures, data transmission standards, and the role of Health Information Technology (HIT) in enhancing interoperability and system efficiency. By synthesising current literature and incorporating recent advancements, this chapter highlights both the opportunities and challenges in building scalable, secure, and intelligent healthcare ecosystems. It also presents new figures and use cases that demonstrate real-world deployments of IoT in medical settings, supporting the argument for broader adoption of IoT-enabled healthcare solutions.

 

 

Author(s) Details

Ragni Kumari
Department of Optometry, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Jagdish Singh
Department of Optometry, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Mayank Pal Singh
Department of Radiological and Imaging Technology, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Mayank Kumar
Department of Physiotherapy, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/erpra/v10/6039

The Rise of FinTech in India: Adoption, Integration, and Future Prospects | Chapter 5 | Science and Technology: Recent Updates and Future Prospects Vol. 11

Technological progress and innovation, which will also support new, disruptive business models in the financial services sector, are the cornerstones of fintech development. "FinTech" (Financial Technology) refers to a broad array of software and innovative technologies that companies use to deliver automated and improved financial services. India, leading in global FinTech adoption with over 6,636 businesses, has one of the world's fastest-growing FinTech markets. The country has achieved significant advancements in digital payments, with over 5.7 billion transactions monthly, totaling around $2 trillion. In 2020, India surpassed the combined real-time online transactions of the US, UK, and China with 25.5 billion transactions. This chapter examines various aspects of the FinTech sector in India, including challenges faced by major companies such as the unbanked population, regulatory hurdles, technology integration, and user experience. It also explores the technologies that underpin FinTech business models, such as blockchain, machine learning, artificial intelligence, cloud computing, and the Internet of Things. By analyzing these elements, this chapter aims to provide a thorough overview of the current state and future potential of the FinTech industry in India. Fintech undergoes a new transformation each year due to the development of technologies and the constantly shifting needs of the financial markets.

 

 

Author(s) Details

Swapnil Sonawane

Vidyalankar Institute of Technology, Mumbai, India.

Dilip Motwani

Vidyalankar Institute of Technology, Mumbai, India.

 

Please see the link:- https://doi.org/10.9734/bpi/strufp/v11/1626

AI-Driven Wildfire Suppression System Leveraging IoT and Drone Technology | Chapter 4 | Science and Technology - Recent Updates and Future Prospects Vol. 8

 

The wildfire is the most alarming threat to ecosystems, whether human-made or natural. Unfortunately, fires destroy many hectares of forest area each year due to late and ineffective fire detection. It is crucial to detect forest fires early to prevent them from spreading widely and harming the environment. Many research has been conducted in this field, but effective fire detection and reduction remain a challenge. The proposed system aims to address this challenge by developing a firefighting machine using advanced Artificial Intelligence (AI) and Internet of Things (IoT) technology. Currently, it is undergoing field trials. The primary objective of this machine is to generate artificial rain through drones equipped with sodium bicarbonate. This process aims to seed clouds and produce rain droplets to mitigate fire outbreaks. Data collection is automated, with information being captured and stored in a cloud-based system via the IoT. Images of both fire and normal conditions are collected and used to train AI models for wildfire detection. TensorFlow is utilized to support drone operations in this process. The IoT cloud platform, Thing Speak, is chosen for its efficiency and reliability in managing data modules. The stored data in the cloud is crucial for training AI models effectively, enabling accurate wildfire detection and timely response. The designed AI and IoT-enabled drones can accurately detect fires and deploy artificial rain to suppress them immediately.

 

Author(s) Details

 

Anita Keshav Patil

Department of Electronics and Telecommunication, Dr. Vithalrao Vikhe Patil College of Engineering MIDC, Vilad Ghat, Ahmednagar -414111, Maharashtra, India.

 

Please see the link:- https://doi.org/10.9734/bpi/strufp/v8/1167

IoT-Enabled Smart Lighting Control System with Motion Detection Using Passive Infrared Sensor Technology| Chapter 6 | New Horizons of Science, Technology and Culture Vol. 4

The energy sector is one of the major contributors to global carbon emissions. Numerous approaches have been adopted to reduce dependence on fossil-based energy by incorporating renewable energy sources. However, energy wastage at the end-user level has not been fully addressed. With recent advancements in the Internet of Things (IoT), automation and autonomous control systems now have the potential to regulate human energy consumption effectively. This study, therefore, investigates the design and implementation of an IoT-enabled smart lighting control system based on real-time occupancy detection using Passive Infrared (PIR) sensors. These sensors detect human motion, allowing the system to intelligently manage lighting by switching lights on only when necessary and adjusting brightness levels based on movement. This dynamic control minimizes energy waste in unoccupied areas and results in significant electricity savings through optimized power consumption. Beyond energy efficiency, the system also improves user convenience and comfort by providing seamless, hands-free lighting control, with a response accuracy of 98% within 5m range. This feature is particularly beneficial for individuals with mobility limitations or in scenarios that require instant lighting, such as navigating dark or cluttered spaces. Additionally, IoT connectivity enhances the system’s capabilities, enabling users to remotely monitor, adjust, and schedule lighting settings, offering greater flexibility and customization to suit individual preferences. The scalable and adaptable nature of the system makes it a practical, user-friendly solution for various smart home environments. Overall, IoT-based smart lighting systems using PIR sensors provide a dual advantage: reducing energy consumption and enhancing user interaction with lighting technologies.

 

 

Author(s) Details

Tolulope David Makanju
Department of Electrical and Information Engineering, College of Engineering and Technology, Achievers University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.

 

Francis E. Kibuebu
Department of Electrical and Information Engineering, College of Engineering and Technology, Achievers University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.

 

Olumhense B. Adoghe
Department of Electrical and Information Engineering, College of Engineering and Technology, Achievers University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.

 

Michael O. Omojoyegbe
Department of Electrical and Information Engineering, College of Engineering and Technology, Achievers University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.

 

Oluwole John Famoriji
Department of Electrical and Information Engineering, College of Engineering and Technology, Achievers University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v4/6069

 

Study on the Development of Remote Health Monitoring System Based on Internet of Things (IoT) for Patients Integrated with Mobile Application | Chapter 6 | Science and Technology: Recent Updates and Future Prospects Vol. 9

 

Nowadays health monitoring is very important. A lot of changes occur in the human body due to rapid changes in the environment.  The Internet of Things (IoT) has enabled incredible attributes in various applications of human health monitoring systems. The IOT-embedded hand-held mobile application technology is a hasty technology to measure the performance of the human health environment. The present study focuses on the practical usage, factors of consuming low power, and real-time system on remote monitoring based on the technology of IoT. This startup has provided an enhanced step in the field of cloud-mode monitoring of health. The assistance of IoT with the systems of wearable sensor technology is one of the emerging fields in healthcare applications. People are spending a lot of money on their health issues. The cluster of population that were availing the requirements for health care monitoring are increasing year by year and the development of standard smart digital intelligent systems that have to be virtually connected with the hospitals. This could formulate an unhealthy circumstance for providing care to the patients who are affected with disease specifically those with unstable and serious disorders. Therefore, the advancement of contemporary electrical and electronic devices that are internet-integrated may offer globally sustainable alternatives. This study uses a smartphone application that operates on the Internet of Things platform to access biological signals for humans, including blood pressure, heart rate, brain frequency, pulse rate, and electrocardiogram (ECG). Measurement and processing of certain symptoms are being utilized with the maximal speed and high memory microcontroller. The primary contribution is to transmit an ECG signal to the cell phone for clinical examination. This assists in diagnosing cardiac disease prior to the serious disorders or hazardous effects to occur for humans. Lastly, the acquired results are built as an output of an Intelligent mobile application. The proposed design is illustrated with proof as very simple and useful to human in proper monitoring of their individual health especially under emergency conditions could easily seek doctors for further medication and treatment. This reduces the risk of death and serious illness.

 

Author(s) Details

 

P. P. M. Prasad
Department of Electronics and Communication Engineering, Bapatla Engineering College, Bapatla, Andhra Pradesh - 522102, India.

 

N. Kanagasabai
Department of Electronics and Instrumentation, Annamalai University, Chidambaram, Tamil Nadu - 608002, India

 

P. Surendra Kumar
Department of Electronics and Communication Engineering, Bapatla Engineering College, Bapatla, Andhra Pradesh - 522102, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/strufp/v9/1407B

Enhancing Data Security in Telemedicine IoT Applications through Hybrid Cryptography | Chapter 2 | Current Research Progress in Physical Science Vol. 3

 

IoT is a network of physical things or objects that are integrated with sensors, software, electronics, and network connectivity. By 2030, the total number of IoT devices is expected to reach 75.4 billion. With the aid of various medical sensors, a remote patient monitoring system will be designed for Internet of Things (IoT)-based telemedicine applications. With the aid of AI algorithms, the healthcare sensor data will eventually be identified and forecasted. In the current healthcare sector, a lot of sensitive data is exchanged. The integration of an increasing number of digital technologies in hospitals, together with laboratory and outpatient examinations of patients and their accompanying files, have all contributed to the growth of data related to patient care in recent years. Electronic health record systems are medical management systems that include all of a patient’s personal and medical data. As a consequence, this data must be stored and secured in the cloud. This paper describes a data storage and security solution that is well-suited for the Internet of Medical Things. The proposed model consists of a security framework for IoT-based telemedicine applications. Because of the shorter key length, the improved Elliptic Curve Cryptography (ECC) approach using Blake2 hashing takes substantially less time to encrypt. The data is encrypted with the created key and the Advanced Encrypted Standard (AES). The proposed security approach is a hybrid cryptography technique that combines symmetric and asymmetric key encryption, resulting in a more secure system.

 

Author(s) Details

Arasada Subashini
Department of Electronics, Gayatri Vidya Parishad for Degree and P.G Courses (A), Visakhapatnam, 530007, India.

K. Nataraju
Department of Electronics, Gayatri Vidya Parishad for Degree and P.G Courses (A), Visakhapatnam, 530007, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/crpps/v3/200

LoRa IoT Network for Instant Forest Fire Detection and Alert System | Chapter 8 | Scientific Research, New Technologies and Applications Vol. 7

The present study highlights about LoRa IoT Network for Instant Forest Fire Detection and Alert Systems. Around the world, forest fires have become a serious problem since they damage homes, wild animals, and trees while also contaminating the air with a high Air Quality Index. Natural and man-made disasters alike were rocking the globe. Tragedies like forest fires are one kind of environmental impact. Once started in the depths of the forest, the fire quickly spreads throughout the whole region, consuming all it touches. The hothouse effect and climatic changes are two effects of similar devastation. For detecting numerous environmental characteristics that may approach the threshold level during a fire-based mishap, this suggested system uses an Arduino and a variety of sensors. The Internet of Things (IoT) will bring new intelligence and efficiency to long-standing technologies such as home automation, control systems, and wireless sensor networks. Here, the temperature and smoke level of two primary factors are regularly monitored. Smoke is detected using the gas sensor MQ6, which measures and detects carbon-based gases. The Ds18b21 wire-based temperature sensor can detect smoke since smoking produces CO2. Furthermore, a PIR sensor is used to identify any human movement.  One Arduino analogue pin is connected to the analogue temperature and gas sensors. At the location of the node and hub, the fire uses Long Range Communication (LoRa) to alert the appropriate Tamil Nadu Forest Department.  The detecting system uses very little electricity and is powered by solar panels. LoRa can send data over larger distances of up to 15 km. To monitor and save these characteristics, an online interface is also established. Extensive field testing has demonstrated the system's effectiveness in real-world outdoor environments, where it continuously collects and transmits vital sensor data related to temperature, humidity, and other critical forest conditions. This data can be used to monitor potential fire hazards and inform timely responses, thereby enhancing forest management and safety protocols.

 

Author (s) Details

R. Anand
Department of Aeronautical Engineering, Nehru Institute of Technology, Coimbatore, India.

 

P. Monisha
Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India.

 

T. Nathiya
Department of ECE, Excel Engineering College, Namakkal, India.

 

S.Karthik
Department of Aeronautical Engineering, Excel Engineering College, Namakkal, India.

Please see the book here:- https://doi.org/10.9734/bpi/srnta/v7/2948

Transforming Customer Service in Indian Petro-Retail: A Technological Shift to IoT | Chapter 4 | Scientific Research, New Technologies and Applications Vol. 10

Technology has impacted industries in multiple ways, bringing innovation and creating significant value for society. Technology’s impact may be either radical, incremental, disruptive or architectural. James Watt’s steam engine heralded the 1st Industrial Revolution, while computers led the most recent. The primary objective of this study is to critically evaluate the gaps in Internet of Things (IoT) adoption within India's petro-retail sector, particularly in terms of meeting customer service expectations. This research is of significant importance as it provides a comprehensive review of existing literature, case studies, and published research across various sectors, including retail, telecommunications, manufacturing, supply chain management, and oil & gas. Technological advancements have significantly influenced both consumers and industries and just as the internet revolutionized human interactions, IoT is poised to transform machine interactions. The integration of connectivity with everyday objects has redefined our interactions with these devices.

Industries such as healthcare, manufacturing, and telecommunications have already experienced substantial changes from IoT implementations. However, IoT adoption varies significantly by sector in the oil and gas industry. The upstream sector, which focuses on exploration and drilling, has embraced IoT extensively, while the midstream sector, handling transport and storage, has applied IoT in more selective areas. In downstream operations, particularly refining and retail, IoT adoption remains limited. Although IoT solutions are generally employed for cost optimisation and operational management, their impact on the petro-retail sector has yet to be fully realised.

The study concluded that given the increasing influence of technology on consumer lifestyles, IoT could significantly elevate customer experiences in petro-retail, maximising both service quality and revenue. As IoT becomes integral to future society, its influence on the service industry, including petro-retail, is expected to be substantial. Therefore, an analysis of the current adaptation gaps in petro-retail IoT adoption will provide valuable insights for academics and industry managers in oil and gas, facilitating further research, study, and practical implementation.

 

Author (s) Details

Santanu Purohit
School of Business, University of Petroleum & Energy Studies, Dehradun, India.

 

Sujoita Purohit
Mohanlal Sukhadia University, Udaipur, Rajasthan, India.

 

Arvind Kumar Jain
School of Business, University of Petroleum & Energy Studies, Dehradun, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/srnta/v10/3555

Design and Development of Patient Monitoring System in Healthcare Using Cloud Computing Environment: A Review | Chapter 5 | Contemporary Perspective on Science, Technology and Research Vol. 8

This paper focuses on review of Design and Development of Health-care Patient Monitoring System using cloud environment. Cloud computing technology combines with the (IoT) Internet of Things concept and helps for maintaining and processing of vital data on-line instead offline. In traditional method of patient monitoring the patient’s physiological information is on paper recorded by the nurses. As these nurses work on shift basis the latest details of the patient may not be completely explained from outgoing to incoming nurse. Many times the diagnosis is made based on manually recorded physiological information and the prescription was noted without concern with tolerant current medical records. With such conventional method diagnoses as well as the recommendation are noted against the law, which does not permit to do experts to have an easy entry to tolerant record. With such scenario it is bit difficult to diagnose the patient correctly for the proper treatment. This leads to the expansion of store and ahead at least under ICU environment. With such system the patient’s normal functioning in the form of space-time records of biological event are seize, stored for as long as to the experts for unplugged.

 

This study aims to develop advanced Real time telemedicine system by using an ultra-low power processor and low power biomedical sensors. This proposed work tries to facilitate population living in rural as well as interior part of the country with portable battery operated Telemetric unit and to provide flexibility to such patients to have distant medical checkups as well as continuous patient monitoring. This study also shows methodology and basic idea about how the sensors, actuators connected to processor which able to process the signal in proper graphical physiological parameters of patients displayed on monitor by Java Programming technique later its connected to wireless sensor network then sent to web server to the experts present on another side. During this COVID-19 pandemic situation, biomedical healthcare Monitoring System is very helpful for those patients where vehicles, transportation and continuous monitoring is necessary.

Author(s) Details:

Sonal Bawankule,
Department of Computer Science and Engineering, Oriental University, Indore, India.

Rekha Shahapurkar,
Department of Computer Science and Engineering, Oriental University, Indore, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V8/article/view/14052

An Intrusion Detection System for IoT Using Deep Learning and Optimization Techniques | Chapter 2 | Contemporary Perspective on Science, Technology and Research Vol. 4

Internet of Things (IoT) has got more attention in the research field of computer science. The extreme increase in the IoT appliances across various factors, such as smart industries and health care appears with extensive security hazards. It is not only restricted to the attacks on confidentiality but also broadens to the attacks on performance and availability of the network. Hence, an intrusion detection mechanism is mandatory for identifying the attacks on IoT to offer effectual protection and security. Even though various intrusion detection methods are developed, achieving higher classification performance still results a challenging task. Therefore, an effective intrusion detection method is developed using the proposed Competitive Swarm Henry Optimization (CSHO)-based Deep Maxout network to find intruders in the IoT environment.

The process of detection strategy is carried out with the information captured by nodes distributed in network. Routing plays an essential role in transferring data from IoT devices to the base station (BS) to accomplish the task of intrusion discovery. It is the common approach used for increasing the energy efficiency in network communication. Here, the selection of optimal routing path is made using the FGGWO. The data received at BS undergoes the features selection phase and intrusion detection phase for detecting the intruders in IoT network. Here, deep learning classifier is used to identify network intruders.

The feature selection is mainly used to increase the computational efficiency and learning performance. The feature selection phase plays an essential factor in reducing dimension of data and to prevent overfitting. The input data Di is fed to feature selection module for selecting features using the Tversky index. After the selection of unique features, the mechanism of intrusion discovery is done with Deep Maxout. The training of Deep maxout network is done by CSHO algorithm. The working principle of HGSO depends on Henry's law. It has the facility to balance the exploration and exploitation phase by reproducing the gas huddling behavior.

The proposed solution offers security as a service and provides evidence in terms of scalability. However, the proposed method offers better results using the metrics, like energy, F-measure, precision, and recall as 0.1610, 0.9001, 0.9052, and 0.8993, respectively.

Author(s) Details:

Mythili Boopathi,
School of Information Technology, Vellore Institute of Technology, Katpadi, Vellore 632014, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V4/article/view/13135

Control System of Air Handling Unit Based on Human-Machine Interface and Internet of Things | Book Publisher International

 This monograph explores the transformative impact of integrating Human-Machine Interface (HMI) and Internet of Things (IoT) technologies within Air Handling Unit (AHU) control systems in the context of Heating, Ventilation, and Air Conditioning (HVAC) systems. The introduction highlights the exponential growth of IoT devices globally and identifies key sectors, such as building security, manufacturing, automotive, retail, and building management automation, where IoT technology has become integral.

The focus then narrows to AHU control systems, emphasizing their critical role in maintaining indoor air quality and thermal comfort. Traditional paradigms are contrasted with the dynamic potential brought about by HMI and IoT integration, promising increased adaptability, sustainability, and user intuitiveness. The monograph underscores the benefits, including real-time adjustments, data visualization, and user-centric customization, as well as the potential for energy optimization and prophylactic maintenance.

The integration of IoT and HMI technologies not only enhances user experiences but also addresses environmental concerns. The monograph emphasizes the role of IoT-augmented AHUs in contributing to sustainable architectural norms and energy-efficient infrastructure, ultimately curbing greenhouse gas emissions.

Furthermore, it introduces the emerging trend of edge computing in AHU control systems, highlighting its potential for real-time decision-making, reduced latency, and enhanced data privacy. The narrative explores the pivotal role of advanced sensors in IoT-enabled AHUs, facilitating data-driven decision-making, predictive maintenance, and improved energy efficiency.

This monograph aims to provide a comprehensive perspective on AHU control systems, offering theoretical foundations, real-world implementations, and insights into the transformative potential of integrating HMI and IoT technologies. The exploration of edge computing, advanced sensors, and cloud integration further positions this work at the forefront of advancing real-time decision-making capabilities and sustainability in the HVAC industry.

Author(s) Details:

Yaddarabullah,
Department of Informatics, Universitas Trilogi, Jakarta, Indonesia.

Please see the link here: https://stm.bookpi.org/CSAHUBHIIT/article/view/12661

Smart Hospitals: Intelligent IoT Solutions for Enhanced Patient Experience and Workflow Optimization | Chapter 2 | Research Highlights in Science and Technology Vol. 9

This member examines the field of Intelligent Internet of Things (IoT) resolutions, examining how they ability improve patient delight and streamline medical processes in "smart hospitals." The member provides a comprehensive view of the current healthcare whole, highlighting the troubles faced by conventional healing facilities and the need for imaginative solutions. It delves into the core pieces of smart hospitals, in the way that IoT devices, dossier analytics, and connectivity, in addition to their various healthcare requests. The chapter conducts a thorough review of the article and analyzes case studies in consideration of provide a current overview of smart emergency room implementations. The topic of dossier security and privacy in smart emergency rooms is discussed in agreements of both potential benefits and difficulties. Finally, the chapter draws to a close by outlining potential future guidances and highlighting the life-changing impact of smart hospitals on healthcare delivery. The main aim is to explain a thorough understanding of how creative IoT solutions can revolutionize hospitals into patient-centric healthcare backgrounds, boosting output and satisfaction for both sufferers and healthcare providers.

Author(s) Details:

M. Laxmaiah,
Department of Electronics and Communication Engineering, Government Polytechnic, Hyderabad, Telangana, India.

B. Neeraja,
Department of Electrical and Electronics Engineering, Government Polytechnic, Hyderabad, Gana, India.

Aparna Atul Junnarkar,
Department of Computer Science and Engineering, PVG College of Engineering, Pune, Maharashtra, India.

Mandeep Kaur,
Department of Electronics and Communication Engineering, Punjabi University Patiala, Punjab, India.

Nazeer Shaik,
Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology (Autonomous) Anantapur, Andhra Pradesh, India.

Please see the link here: https://stm.bookpi.org/RHST-V9/article/view/11632

A Smart System for Alzheimer's Patient Care Using IoT | Chapter 3 | Research and Applications Towards Mathematics and Computer Science Vol. 3

 This stage highlights about smart System for Alzheimer's Patient Care Using Information of Technology. In the last ten of something, the Internet of Things (IoT) has become a new electronics that aims to facilitate growth and help people as a whole aspects of their lives. This electronics is used for smart apartments, smart grid stations, smart agriculture, energy systems, transport aids, smart cities, etc. The number of sensors and IoT schemes along with requests is used for listening the health condition of inmates. The Internet of Things (IoT) is a new technology that has arose in the past ten age with the goal of improving public's lives in all circles. Smart homes, smart gridiron stations, smart agriculture, energy systems, transit aids, and smart cities are just any applications for this science. Patients' health environments are tracked utilizing a variety of sensors, IoT instruments, and applications. .  Further, on account of the advancements engaged of AI and Machine Learning, the future scope of IoT has sedately increased. The potential of IoT is not restricted to healthcare. There are various additional applications of IoT.

Author(s) Details:

K. Sugamya,
Department of IT, Chaitanya Bharathi Institute of Technology, Hydearabad, Telangana-500075, India.

Suresh Pabboju,
Department of IT, Chaitanya Bharathi Institute of Technology, Hydearabad, Telangana-500075, India.

M. Sathish,
Department of IT, Chaitanya Bharathi Institute of Technology, Hydearabad, Telangana-500075, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V3/article/view/11564

Hybrid Model Analysis for Intrusion Detection in IoT Applications: A Novel Approach | Chapter 5 | Research Highlights in Mathematics and Computer Science Vol. 9

 This article develops a novel political optimizer with cascade forward pertain system (PO-CFNN-)-located IDS in the IoT environment. The main goal of the PO-CFNN method search out delimit the incident of interruptions in the IoT environment. Networks for the Internet of Things (IoT) have recently adult in importance for uses to a degree smart downtowns, smart buildings, well-being management, and so forth. Because IoT devices inclined be reasonable, narrow, and reduced-stimulate, it finds ruling class expected favorable. In the design of IoT networks, protection continues anticipated a difficult problem. Network interruptions, or uneven endeavors in the network, can be found using intrusion finding systems (IDS).  The latest advances in structure intelligence (ML) and metaheuristics maybe working to design productive IDS models for IoT networks. This item expands a novel governmental optimizer accompanying cascade forward neural network (PO-CFNN-)-situated IDS in the IoT environment. The PO-CFNN form's main goal follow identify instances of interruptions from the IoT surroundings. The three main steps of the PO-CFNN technique are preprocessing, classification, and parameter optimisation. The mingling for professional or personal gain dossier is first preprocessed to set it in a format that maybe secondhand.  Following that, the CFNN technique is occupied for the identification and classification of intrusions in the IoT environment. In the final stage, the PO creation is applied for the best adjustment of the limits complicated in the CFNN model. The exploratory confirmation of the PO-CFNN method on a yardstick dataset established the better effects of the PO-CFNN method over recent approaches.

Author(s) Details:

Mohammed I. Alghamdi,
Department of Engineering and Computer Sciences, Al-Baha University, Al-Baha City-1988, Saudi Arabia.

Please see the link here: https://stm.bookpi.org/RHMCS-V9/article/view/10409

A Review on Transdisciplinary Approach and Challenges on Wearable Technology | Chapter 6 | Recent Progress in Science and Technology Vol. 7

 Wearable Technology is an arising technology that impacts in our regularly life as a major part. This wearable science become appealing due to its amount, speed, storage, feeling behavior, and multifunctional capability.  All wearable designs must have sensing powers. This paper focuses on various reviews, features, and requests of wearable technologies and is emphasize with basic plans on the major electronics. This paper helps the researchers the one are beginners in this wearable electronics. This platform keeps us more handy and comfortable by trusting in allure various competencies. It gives a summary of the interaction between persons and technology. It handles big data states that can capable to handle huge amounts of news at a very high speed which maybe able to process over occasion which designs perfect value and communicates to humans according to schedule. Wearable technology plays a fault-finding role as the heart of bureaucracy to deliver the dossier transformation. It is a type of gadget that create our life smooth by keeping us fit, flexible, and general updates according to schedule. This survey is towards the various instruments on wearable, their challenges, and research from now on.

Author(s) Details:

D. Bhuvana Suganthi,
BNM Institute of Technolgy Bengaluru, Karnataka, India.

M. K. Vidhyalakshmi,
Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India.

A. Punitha,
MAM School of Engineering, Thiruchirappalli, India.

S. Raghupathi,
University of Technology and Applied Science, Ibri, India.

M. Subhapradha,
MAM School of Engineering, Thiruchirappalli, India.

Please see the link here: https://stm.bookpi.org/RPST-V7/article/view/9973

Prospects of Big Data Industry under Mathematical and Physical Sciences System | Chapter 10 | New Frontiers in Physical Science Research Vol. 9

 Science and electronics are rapidly evolving as institution develops and progresses, and communication science is particularly intriguing at the present. The information dossier generated by the progress of communication technologies is evenly becoming a strategic advantage, that is contended by everybody. The information age is rapidly nearing us. Information is a resource in this framework, and timely and direct information resources are like money codes just waiting to be discovered and secondhand. Additionally, a lot of creative trades are advancing significantly and progressing into the modern unicorns as a result of facts resources. This study is established the characteristics of the era of the facts explosion and discusses the inceptions and applications of information while enlightening the essence of information dossier resources. And I hope to clarify some different outlooks on the use of information and dossier. Big data is becoming an main information resource for the movement of the entire society.

Author(s) Details:

Hong Xiong,
University of California, Los Angeles, USA.

Please see the link here: https://stm.bookpi.org/NFPSR-V9/article/view/9859

Positional Isomerism in N-propyl and Isopropyl Alcohol Using Ultrasonic Characterization | Chapter 9 | New Frontiers in Physical Science Research Vol. 9

 In the work, ultrasonic parameters like speed and attenuation are calculated in mixtures of n-propyl and isopropyl alcohols in nitrobenzene at a 10 MHz pulse-echo method. Ultrasonic attenuation is sensitive to the synthetic composition of the combination.Ultrasonic velocity and attenuation calculations using the pulse_echo method operated at 10 MHz have existed taken at various concentrations of two together alcohols in nitrobenzene, from 283.15K - 293.15K. The data is analysed based on the verdicts, which revealed that both systems exhibit fault-finding nature and non-linear alternative in ultrasonic diffusion velocity and attenuation. In comparison to isopropyl intoxicating in nitrobenzene, ultrasonic attenuation at lower concentrations of n-propyl intoxicating in nitrobenzene reveals the dominant fundamental relaxation. Mixing of mixed and non-associated liquids leads to dipole-inferred interactions.

Author(s) Details:

Rupali Jayant Thete,
G H Raisoni College of Engineering, Nagpur-440016, India.

Satish Sharma,
Department of Electronics, Rashtrasanta Tukadoji Maharaj Nagpur University, Nagpur, India.

S. Rajgopalan,
Department of Electronics, Rashtrasanta Tukadoji Maharaj Nagpur University, Nagpur, India.

Please see the link here: https://stm.bookpi.org/NFPSR-V9/article/view/9859

Smart Patient Health Tracking System| Chapter 8 | Current Overview on Disease and Health Vol. 7

 The first-contact medical care checking framework has stood as one of the most necessary frameworks and has enhance innovative arranged from the former ten years. People are dealing with an issue of surprising passing because of different sicknesses, happening from the absence of clinical concern for the patients at the ideal opportunity. The essential objective search out foster a reliable patient observing framework handling IoT so the medical services specialists can screen their patients, either hospitalized or at home, utilizing an IoT and ML based coordinated first-contact medical care framework accompanying the perspective of guaranteeing subjects are really focused on better. IoT observant of wellbeing helps in forestalling the spread of illness in addition to getting a legitimate end of the condition of wellbeing, regardless of either the specialist is at a far distance. A mobile telephone-based remote first-contact medical care checking framework was generated, which can give agreeing web-based dossier about a patient's physiological states, predominantly involving sensors, the information gettv unit, wifi module, and changed with a product. The patient's hotness, heart beat rate, and EEG information (that is, utilized for actually look at mind action) are restrained, shown, and put away apiece framework and shipped off the scholar's portable containing the request. This framework likewise prescribes what commotion in the event of crises. Subsequently, an IoT-located patient checking foundation screens patients' wellbeing rank and saves life on time.

Author(s) Details:

N. Venkata Sireesha,
Department of Information Technology, Institute of Aeronautical Engineering, India.

Ravi Kumar Poluru,
Department of Information Technology, Institute of Aeronautical Engineering, India.

N. Raghava Rao,
Department of Information Technology, Institute of Aeronautical Engineering, India

Varasree,
Department of Information Technology, Institute of Aeronautical Engineering, India.

Please see the link here: https://stm.bookpi.org/CODH-V7/article/view/9082