Anand Nayyar

Duy Tan University · Computer Science

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...

Throughput Optimization for NOMA Cognitive Radios with Multi-UAV Assisted Relay Le-Mai-Duyen Nguyen, Van Nhan Vo, Tran Thi Thanh Lan, Nguyen Minh Nhat, Anand Nayyar & Viet-Hung Dang Conference paper First Online: 14 June 2022 1 Accesses Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications...

This paper considers the efficient offloading and computation design for radio frequency energy harvesting (RF EH) uplink non-orthogonal multiple access (NOMA) industrial Internet of Thing (IIoT) network. Specifically, the system contains multiple energy-constrained devices classified into two clusters and a MEC server deployed in a wireless access...

The problem of one of the long-existing research topics being sequence recognition for natural images and videos is taken into account in the paper. The aim is to achieve efficiency comparable to that of human vision. This work focuses on recognizing text from natural scene images without using complex model architecture. In order to get the object...

IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of COVID-19 pandemic, IoT`s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuri...

Across the globe, there is a noticeable upward trend of incorporating sarcasm in everyday life. This trend can be easily attributed to the frequent use of sarcasm in everyday life, but more specifically to social media and the Internet. This study aims to bridge the gap between human and machine intelligence to recognize and understand sarcastic be...

Cloud computing is a collection of disparate resources or services, a web of massive infrastructures, which is aimed at achieving maximum utilization with higher availability at a minimized cost. One of the most attractive applications for cloud computing is the concept of distributed information processing. Security, privacy, energy saving, reliab...

The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific community. The recent ongoing SARS-Cov2 (Severe Acute Respiratory Syndrome) pandemic proved the unpreparedness for these situations. Not only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in...

LoRaWAN is a low power wide area network (LPWAN) technology protocol introduced by the LoRa Alliance in 2015. It was designed for its namesake features: long range, low power, low data rate, and wide area networks. Over the years, several proposals on protocol specifications have addressed various challenges in LoRaWAN, focusing on its architecture...

The Internet of Things (IoT) has explosive growth in many fields, but IoT devices often have minimal computation resources, which reduces the QoS experience. Mobile Edge Computing (MEC) is a promising technique to address this issue when it responds well to mobile applications requiring computation-intensive with latency-critical. In this chapter,...

The single-board computer (SBC) is a compact, powerful and cost-effective system on chip (SOC) that can perform all complex tasks that may be executed by the desktop computer. Further, with the development of the SBCs having a powerful processor and high RAM support–they are already deployed in many applications such as in agriculture, home securit...

The rapid development and deployment of IoT devices in modern networks and Industry 4.0 have attracted substantial interest from cybersecurity researchers. In this study, we propose a software-defined framework that improves network intrusion detection systems by using manufacturer usage description (MUD) to enhance the behavioral monitoring in IoT...

The k-NN algorithm missing values is one of the current research issues, especially in 4D frequency. This study addresses the accuracy of the images, increases the efficiency of missing k-NN hybrid values, and constructs a research framework that can identify cancer-damaged areas isolated from non-tumors areas using 4D image light field tools. Addi...

Wireless sensor networks (WSNs) play a significant role in various applications, ranging from cellphones to highly secure military operations in unmanned areas where continuous monitoring is required. Numerous studies on WSNs have been conducted to develop efficient algorithms that can reduce energy consumption and increase the lifetime of the enti...

The direct-current (DC) motor has been widely utilized in many industrial applications, such as a multi-motor system, due to its excellent speed control features regardless of its greater maintenance costs. A synchronous regulator is utilized to verify the response of the speed control. The motor speed can be improved utilizing artificial intellige...

Every respiratory-related checkup includes audio samples collected from the individual, collected through different tools (sonograph, stethoscope). This audio is analyzed to identify pathology, which requires time and effort. The research work proposed in this paper aims at easing the task with deep learning by the diagnosis of lung-related patholo...

Blockchain Enabled Portable Device for Public Distribution Centres The present invention relates to a blockchain enabled portable device for public distribution centres. Herein first, RFID based card is allotted to each household in which the information of each member is included. This RFID card contains the ID of a particular household and helps...

The innovation proposed is a Wi-Fi-based cost-effective water surface cleaner. In India, water contamination has been growing rampant, leading to the issue of the availability of clean water. This innovation is fundamentally useful because it can filter pollutants, such as waste-water trash, plastics, and trash on coastal water surface. These conta...

The recent pandemic saw the operations of many businesses shifting to virtual mode. Tasks like psychometric analysis of individuals, for various applications, are conducted online. In this article, we introduce a novel system to analyze the semantics of an individual's tweets from their Twitter profile using LIWC and SALLEE scores. These scores can...

The twenty-first century is known for exponential growth in the technological as well as the education domain. However, conventional educational tools are still reliable to understand the actual scenario of performance and efficiency of the brain of young minds. If combined with technology this could play a vital role in getting a clear perception...

Preface Computational science deals with using computers to solve complex problems in science and engineering. Usually, computational science refers to computer science and applied mathematics. Various statistical techniques are used to sculpt and simulate complicated systems in this field. In collaboration with engineering, Computational Science a...

The most common source of drinking water is groundwater. As a rule, water expected for drinking purposes should meet certain requirements. An inclination is to discover more productive and cost-effective materials and innovations utilized in water treatment. The objective of this paper is to eliminate the abundance of iron substances present in bor...

The present invention relates to an artificial intelligence based IoT enabled drowsiness detection system. The proposed system comprises a raspberry pi with an inbuilt camera enabled inside the dashboard for real-time frame capturing, a buzzer is also interfaced to the raspberry pi to generate an alarm if the driver is detected as sleepy and a moti...

The present invention generally relates to a solar assisted system, and method for water de-fluoridation. The A solar assisted de-fluoridation system utilizes solar energy to de-fluoridate water stored in a tank through electronic means. An adsorbent composition for de-fluoridation comprises graphene oxide 50% by weight of the composition and a mix...

The present invention relates to a blockchain enabled portable device for public distribution centres. Herein first, RFID based card is allotted to each household in which the information of each member is included. This RFID card contains the ID of a particular household and helps to access the account of households at the distribution centre. Sec...

The present invention relates to walking stick for blind person with multiple sensors. As massage system is electronic and portable device, so it needs to be charge. Hence the proposed invention contain USB charger and another power supply from peltier cooler which convert heat energy from human body into electrical energy. Hence, it could be charg...

A smart transportation system relies on connected environments and cloud systems for ease of operation and assisted routing. Smart vehicles understand the environment through multi-sensor, network, and pervasive systems for gaining useful information. The problem arises with the absence of useful information in explicit scenarios where heterogeneou...

To reduce the consumption of power and making the handling of display devices easy the manufacturers are reducing the size of the screen. To fit the visual contents into the small screen of display devices without any image deformation development of an efficient image retargeting technique is required. The traditional seam carving technique is wid...

The novelty resides in the shape and configuration of the “SCREW LESS BRACKET CABLE FOR ELECTRIC TOOTH BRUSH” as illustrated. No claim is made by virtue of this registration in respect of any mechanical or other action of any mechanism whatever or in respect of any mode or principle of construction of the article. No claim is made by virtue of th...

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...

Artificial intelligence plays an essential role in the medical and health industries. Deep convolution networks offer valuable services and help create automated systems to perform medical image analysis. However, convolution networks examine medical images effectively; such systems require high computational complexity when recognizing the same di...

The present invention relates to an artificial intelligence based system for emotional recognition. The system comprises emotion induction, data acquisition, feature extraction and classification. The features are analyzed based on data acquired from radial pulse and based on this emotions are detected.

The present invention relates to a system based on artificial intelligence and machine learning on traffic control comprises of a plurality of sensors enabled with four controllers, receivers, transmitter and switches wherein said system based on input from user, the signal processes and transmits through the transmitter in the vehicle which sends...

Vision impairment is a major challenge faced by humanity on a large scale throughout the world. Affected people find independently navigating and detecting obstacles extremely tedious. Thus, a potential solution for accurately detecting obstacles requires an integrated deployment of the Internet of Things and predictive analytics. This research int...

A single technological advancement in the business sector tremendously changed customers’ lifestyles and consumption behavior. Drone technology is one of the main revolutions that increase business efficiency at a lower cost. However, the acceptance of emerging technologies is not rapid in developing markets. Therefore, this study aims to evaluate...

The target of the current study was to review and analyze the research activities of previous studies on cooling techniques for thermal photovoltaic (PV) systems using phase-change materials. These materials have the ability to absorb and release certain amounts of potential heat energy by changing their state from phase to phase (solid–liquid) wit...

In this paper, an experimental investigation study was conducted to show the effect of enhancing the evaporation and condensation processes inside a modified solar still by placing ultrasonic humidifiers inside a cotton mesh tent in the basin water and by installing a cooling chamber with thermoelectric elements on top of the solar still. Various p...

The simultaneous advances in the Internet of Things (IoT), Artificial intelligence (AI) and Robotics is going to revolutionize our world in the near future. In recent years, LoRa (Long Range) wireless powered by LoRaWAN (LoRa Wide Area Network) protocol has attracted the attention of researchers for numerous applications in the IoT domain. LoRa is...

The communication protocols of wireless networks have experienced great advances in recent years, specifically with the evolution of new technologies such as the Internet of Things (IoT). However, certain problems remain unsolved, in particular for wireless networks, and more specifically for DTN networks, which represent a major challenge in terms...

One of the most controversial and emerging applications of microarray-based cancer research is the identification of the pathology that are canons and genetic pathway alterations. Though microarray-based classifications of cancer diagnosis continue to be a concern, cancer orthodox has not advanced very far. The primary explanation for this is the v...

This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latenc...

The ever-growing smart-enabled data-generating technologies in healthcare have been widely used in the field of biomedical, medical, and pharmaceutical domains. Currently, big data plays various roles, as it connects with different applications, tools, architectures, services, and technologies in the healthcare paradigm. Given the fact that most of...

COVID-19 causes global health problems, and new technologies have to be established to detect, anticipate, diagnose, screen, and even trace COVID-19 by all health care experts. Several database searches are carried out in this literature-based study on machine learning (ML), artificial intelligence, computer-based molecular docking analysis (CBMDA)...

Precision agriculture is the process that uses information and communication technology for farming and cultivation to improve overall productivity, efficient utilization of resources. Soil prediction is one of the primary phases in precision agriculture, resulting in good quality crops. In general, farmers perform the soil prediction manually. How...

In the past few decades, climatic changes led by environmental pollution , the emittance of greenhouse gases, and the emergence of brown energy utilization have led to global warming. Global warming increases the Earth's temperature, thereby causing severe effects on human and environmental conditions and threatening the livelihoods of millions of...

A collaborative filtering-based recommendation system has been an integral part of e-commerce and e-servicing. To keep the recommendation systems reliable, authentic, and superior, the security of these systems is very crucial. Though the existing shilling attack detection methods in collaborative filtering are able to detect the standard attacks,...

Ultra-wideband (UWB) and inertial measurement unit (IMU) fusion is an efficient method to resolve the uncertainties of UWB in non-line-of-sight (NLOS) situations because of signals refraction, the effect of multipath and inertial positioning error accumulation in indoor environments. Existing systems, however, are focused only on foot-mounted IMUs...

Fuel quality is an important indicator for the suitability of alternative fuel for the utilization in internal combustion (IC) engines. In this paper, light naphtha and fusel oil have been introduced as fuel additives for local low octane gasoline to operate a spark ignition (SI) engine. Investigated fuel samples have been prepared based on volume...

The task of predicting the risk of defaulting of a lender using tools in the domain of AI is an emerging one and in growing demand, given the revolutionary potential of AI. Various attributes like income, properties acquired, educational status, and many other socioeconomic factors can be used to train a model to predict the possibilities of nonrep...

Brain tumor segmentation and diagnosis is a very tedious and uncertain task for medical experts for its precise treatment. We have proposed an automatic segmentation and classification of tumor at from brain MR images using DWT-RBFNN classifier. The work is divided into two parts: segmentation and classification. The MR images are 1st preprocessed...

In several areas, including education, the use of machine learning, such as artificial neural networks, has resulted in significant improvements in predicting tasks. The opacity of these models is one of the problems with their use. Prediction models that may offer valuable insights while still being simple to comprehend are preferred by decision-m...

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...

In mobile crowd computing (MCC), people's smart mobile devices (SMDs) are utilized as computing resources. Considering the ever-growing computing capabilities of today's SMDs, a collection of them can offer significantly high-performance computing services. In a local MCC, the SMDs are typically connected to a local Wi-Fi network. Organizations and...