Anand Nayyar

Duy Tan University · School of Computer Science (SCS)

Mobile edge computing (MEC) is an essential technique in next-generation networks to serve ultra-low latency and computation-intensity applications. At the same time, nonorthogonal multiple access (NOMA) is a technique to help multi-user service, saving energy and increasing spectrum efficiency. In this study, we investigate the NOMA MEC-based wire...

With the advent of low-cost circuitry, sensor and communication technologies, it is feasible to sense and communicate the condition of surroundings to end user. The wireless networks of these circuits, called Wireless Sensor Network (WSN) that are utilized in a multitude of applications such as in hospitals, smart industries, environmental sensing...

The present invention provides an Internet of Things -based mechanical device for monitoring and controlling mechanical systems. The device comprises Internet of Things sensors and devices that are placed on various components of a mechanical system. The data collected by these sensors is transmitted to a cloud-based platform where it is analyzed a...

The present invention is an Internet of Things-based innovative actuator design for enhanced performance. The actuator design incorporates Internet of Things sensors and devices to gather data and provide real-time feedback on the performance of the actuator. The actuator design also includes an innovative mechanism that improves its overall perfor...

The book "Advances in distance learning in times of pandemic" is devoted to the issues and challenges faced by universities in the field of distance learning in covid times. It covers both theoretical and practical aspects connect to distance education. It elaborates issues regarding distance learning, its challenges, assessment by students and the...

Cardiovascular disease is among the top five fatal diseases that affect lives worldwide. Therefore, its early prediction and detection are crucial, allowing one to take proper and necessary measures at earlier stages. Machine learning (ML) techniques are used to assist healthcare providers in better diagnosing heart disease. This study employed thr...

With the evolution of technology, many modern applications like habitat monitoring, environmental monitoring, disaster prediction and management, and telehealth care have been proposed on wireless sensor networks (WSNs) with Internet of Things (IoT) integration. However, the performance of these networks is restricted because of the various constra...

Internet-of-Things (IoT)-based Heterogeneous Wireless Sensor Network (HWSN) has emerged as a prevalent technology that plays a significant role in developing various human-centric applications. Like in a wireless sensor network (WSN), energy is also the most crucial resource in IoT-based HWSN. The researchers have proposed many works to achieve ene...

The darknet has gotten perhaps the most examined points in network safety circles. As Internet is the source of communication in cyber physical space and dark web is a untraceable hidden layer in the virtual world. This paper investigates a new paradigm in the dark web space. It gives an insight and an oveíview of daík web and vaíious bíowseís whic...

This paper introduces a new hybrid algorithm named Transient Search Naked Mole-Rat Optimizer (TsNMRO), based on the hybridization of transient search optimizer (TSO) merged in the naked mole-rat algorithm (NMRA). To improve the worker phase of traditional NMRA, the new algorithm combines TSO’s exploratory notions with NMRA. A novel stagnation phase...

Sentiment Analysis (SA) using machine learning approaches is a fascinating field of research to unravel the opinion expressed by online users. It deals with the classification problem of opinions expressed on a product or service in review texts as positive or negative or neutral. Classification beyond binary classes poses even greater challenges u...

The growing use of social media forums to express suicidal ideation creates an immense requirement for automatic recognition of suicidal posts. Individuals use social forums to discuss their problems or access information on similar topics. This study aims to work on the automatic recognition and flagging of suicidal posts. It presents an approach...

Communication in any form requires secrecy to ensure the message is received and interpreted only by the intended receiver. Fast moving communication technologies enables users to communicate multimedia messages like images, videos, animations and so on. Encryption of images aim to hide image content by the confusion and diffusion process. Secret k...

This book discovers what it will take to reindustrialize the previous industrial powerhouses in order to offset the advantages of cheap labor suppliers dominating the industrial sector by exploring the current situation of the production, processing, and manufacturing industries. The Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS),...

This paper proposes a central energy management system (EMS) in smart buildings. It is based on the coalition method for optimal energy sharing between smart buildings. Game theory is applied to obtain an optimal allocation of the building's surplus energy on the deficient energy buildings using the Shapley value, which enables the unequal energy d...

Today, Artificial Intelligence is achieving prodigious real-time performance, thanks to growing computational data and power capacities. However, there is little knowledge about what system results convey; thus, they are at risk of being susceptible to bias, and with the roots of Artificial Intelligence (“AI”) in almost every territory, even a minu...

Nowadays, multi-consumer buildings are growing rapidly as living place in city or megacity of developing nation to accommodate large group of people. The urban people are facing bigger threat on water prone disease i.e., water quality is stringent requirement. Here, traditional fixed or block rate tariff does not provide price reduction for compara...

Machines are continually being channelized in the current era of automation to deliver accurate interpretations of what people communicate on social media. The human species is today engulfed in the concept of what and how people believe, and the decisions made as a result are mostly dependent on the sway of the masses on social media platforms. Th...

Recent years have witnessed the computing process gradually move to the edge network, close to the physical data source, to serve applications that require large computations with very little latency. However, the terminal wireless devices’ limited computing and energy resources pose obstacles to the practical implementation of these applications....

Predicting student performance is crucial in higher education, as it facilitates course selection and the development of appropriate future study plans. The process of supporting the instructors and supervisors in monitoring students in order to upkeep them and combine training programs to get the best outcomes. It decreases the official warning si...

Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological information about the malignancy is used for the classification of cancer. The objective of our study is to develop a non-invasive breast cancer classification system for the diagnosis of cancer metastases. T...

Vehicular ad hoc networks (VANETs) are self-organizing, open-structure inter-vehicle communication networks, along with wireless communication technology and transportation. Vehicle communication aims to improve the driver’s response-ability and ensure traffic safety when encountering traffic accidents. The 5G NR on V2V communication, compared to f...

Grid-connected photovoltaic (PV) micro-inverters that do not require batteries are becoming increasingly popular in the market. The main issues with this type of inverter are its cost of components, such as the DC/DC converter unit, the number of sensors, and the number of switches. Accordingly, a single-stage flyback PV micro-inverter (FBPVMI) top...

Robotics has come a long way from industrial robotic arms and is all set to enter our homes. The capability of a robot to navigate in an unknown human populated environment with obstacles and making map simultaneously is one of the significant characteristics in the domain of autonomous robotics. Further, the problem of robot navigating in a social...

With the increased number of smart devices in IoT and cloud, communication messages are exchanged extensively throughout the network. This requires secure data transfer between the user and the IoT node, and it entails appropriate mutual authentication and a key establishment mechanism. In this paper, a secure authentication and key agreement mecha...

Latent fingerprint segmentation is a complex process of separating relevant areas called fingerprints from an irrelevant background in the latent fingerprint image which is of poor quality. A breakthrough in the field can be used to segment fingerprints accurately from the background by using optimal resources. Processing of unwanted background of...

The present invention relates to the field of artificial intelligence and in particularly relates to a responsible artificial intelligence based system for smart and climate-friendly energy production. In an embodiment, a Responsible Artificial Intelligence based system for Smart and Climate-friendly Energy Production is provided. The system includ...

The present invention relates to the field of artificial intelligence and in particularly relates to a responsible artificial intelligence based system for reduction of greenhouse gas emissions in 6G networks. In an embodiment, a Responsible Artificial Intelligence based system for Reduction Of Greenhouse Gas Emissions In 6G Networks is provided. T...

It has been more than two decades, natural gas (NG) market is booming and being utilized on priority basis a viable energy resource among various regions across the world due to proven, low-greenhouse emission during various operation and generation of power with high efficiency. Pipelines were majorly used for safe and reliable transport of natura...

Social networks are often published in the form of a simple graph. The simple graph representation of a social graph shows the dyadic relationship among the social entities whereas it is unable to efficiently represent the relationship among more than two entities, such as the relationship found in the social groups. This type of relationship is ca...

In the last few decades, there has been an increase in food safety and traceability issues. To prevent accidents and misconduct, it became essential to establish Food Safety Traceability System (FSTS) to trace the food from producer to consumer. The traceability systems can help track food in supply chains from farms to retail. Numerous technologie...

In today's information technology (IT) world, the multi-hop wireless sensor networks (MHWSNs) are considered the building block for the Internet of Things (IoT) enabled communication systems for controlling everyday tasks of organizations and industry to provide quality of service (QoS) in a stipulated time slot to end-user over the Internet. Smart...

The LoRaWAN standard comes from a Low Power Wide Area Network (LPWAN) technology suitable for developing Internet of Things (IoT) systems that are poised to disrupt the semiconductor industry. Even as a widespread technology used for diverse applications, security issues of long range (LoRa) networks and devices still remain a major challenge. Alth...

Internet of medical things (IoMT) plays an important role nowadays to support healthcare system. The hospital equipment’s called as medical things are now connected to the cloud for getting many useful services. The data generated from the equipments are sent to the cloud for getting the desired service. In current scenario, most hospitals collect...

The problem with property valuation is that it is extremely complex. It is difficult to objectively model the pricing process or fairly estimate a property value. Many factors can contribute to this complexity such as spatial and time factors. Evaluators and researchers have been trying to model the process for centuries. Up until recently, when co...

Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections c...

The present invention relates to an IOT enabled device for warning people from electrically shorted poles at public places. The proposed solution which is needed to be fitted into the poles in public area will alert the people nearby and also will alert the nearby electricity department in a short condition. The sensing node comprises of a computin...

In recent years, we have seen the impact of global warming on changing weather patterns. The changing weather patterns have shown a significant effect on the annual rainfall. Due to the lack of annual rainfall, developing countries like India have seen a substantial loss in annual crop production. Indian economy largely depends on agro products. To...

Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases. The publicly available ICBHI respiratory sounds database is severely imbalanced, making it difficult for a deep learning model to general...

With the rapid advancements in technologies like smart grid, network communication, information infrastructures, bidirectional communication medium’s, energy conservation methodologies and diverse techniques, Home area networks (HANs) have undergone a revolutionary change pertaining to various areas of power consumption domains like electricity usa...

Artificial intelligence has the potential to revolutionize disease diagnosis, classification, and identification. However, the implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. This study presents a diagnostic tool based on a deep-learning framework for four-class clas...

The deep learning techniques have been playing an important role in the identification and classification problems such as diseases in medical science, marketing in the industry, manufacturing in engineering, and identification in plant taxonomy science. Fruit identification and its family classification is among one of the areas that needs more em...

Optimal route selection and circumventing the route deviation is essential in sensor transmission to reach the destination properly and to save energy in sensors. Wireless sensor networks (WSNs) play an indispensable role to achieve faster communication. Sensors are tiny devices which can store less power and need the power to be retained until fin...

Nowadays, smart applications are becoming part of small-scale to large-scale industries. Smart applications are making farming, tourism and hospitality, energy sector healthcare, supply chain, and so on smarter than ever. Industrial Internet of Things (IIoT), which is also called Industry 4.0, is the new evolution in the industrial sector that incl...

Security is a major concern in vehicular networks for reliable communication between the source and the destination in smart cities. Data, these days, is in the form of safety or non-safety messages in formats like text, audio, images, video, etc. These information exchanges between the two parties need to be updated with a trust value (TV) by anal...

Cloud computing is seen as a more promising technology than any other traditional information technology computing paradigm in today’s world. It essentially functions as an on-demand resource provisioning platform that requires no active user participation. The resource provisioning strategies necessitate proper load distribution management across...

Green Internet of Things (IoT) envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering this factor, this book focuses on both the theoretical and implementation aspects in green computing, next-generation networks or smart networks that can be utilized in providing green systems through I...

Energy is a critical factor to be considered in electrical and electronic systems. With the advent of technology, numerous techniques have been developed in communication systems to make the systems reliable, durable, and economic. In modern communication systems, the major requirements of an efficient radio model are to improve the delay, and thro...

Social distancing to reduce the spread of coronavirus disease 2019 (COVID-19) made a huge increase in the global OTT market, and OTT service providers get millions of new subscribers. Recently OTT service providers are extending their service to video broadcasting. As a one type of video broadcasting, this paper covers multimedia streaming with mul...

Software-defined networks (SDNs) can help facilitate dynamic network resource provisioning in demanding applications, such as those involving Industrial Internet of Things (IIoT) devices and systems. For example, SDN-based systems can support increasing demands of multi-tenancy at the network layer, complex demands of micro-services, etc. A typical...

Coronary heart disease is a major cause of fatality worldwide. Online access to a patient's ECG record on networked hand-held devices enables its timely assessment by a cardiologist. However, the transmission of the ECG data on an unsecured network leads to a major concern about its authenticity. As a solution to this problem, this paper proposes R...