M. Anwar Hossain

King Saud University | KKUH · Department of Software Engineering

Texture image generation has been studied for various applications, including gaming and entertainment. However, context-specific realistic texture generation for industrial applications, such as generating defect textures on railway components, remains unexplored. A mobile-friendly, LLM-based tool that generates fine-grained defect characteristics...

A Digital Twin (DT) replicates objects, processes, or systems for real-time monitoring, simulation, and predictive maintenance. Recent advancements like Large Language Models (LLMs) have revolutionized traditional AI systems and offer immense potential when combined with DT in industrial applications such as railway defect inspection. Traditionally...

Recent advancements in cognitive computing, through the integration of artificial intelligence (AI) techniques, have facilitated the development of intelligent cognitive systems (ICS). This benefits railway defect detection by enabling ICS to emulate human-like analysis of defect patterns in image data. Although visual defect classification based o...

The diversity and sheer expanding in the number of Internet of Things (IoT) devices in a smart city context has raised substantial problems about storage and processing. Different sensors use different data formats. A situation is formed by combining data obtained from different sensors. This combination process needs a unified representation of se...

This dataset is used in https://ieeexplore.ieee.org/abstract/document/9681996). The dataset involves 27 volunteer subjects between 18-50 years old, monitored over one week from 20th June 2020 to 30th June 2020. Multimodal data were sensed using the sensor, app, and IoT technologies available on Redmi 8 Pro Android smartphone, Xiaomi Mi band 5, and...

Telehealth data during COVID-19

Digital twin (DT) has gained success in various industries, and it is now getting attention in the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present an overview of WDT to understand its potential scope, architecture and impact. We then discuss the definition and the benefits of WDT. After that, we present t...

Cyber-Physical Systems (CPS) embed computation and communication capability into its core to regulate physical processes and seamlessly mediate between the cyber and the physical world for various control and monitoring tasks. Health CPS, a variant of CPS in the healthcare sector, acts as a health monitoring system to dynamically capture, process,...

Internet of Things (IoT) has been the driving force for many smart city applications. The huge volume of IoT data generated from these applications require efficient processing to get the insight, which poses significant difficulty. Data mining and machine learning (DM) algorithms are used to minimize such difficulty. However, it is still very chal...

Visual programming languages (VPLs) are inevitable tools to attract more people to the programming world. In this article, a novel VPL—programming without coding technology (PWCT)—is introduced. The main objective behind developing this tool was to create a general-purpose VPL that also possesses textual languages’ capabilities. PWCT is a language...

Early-stage disease risk prediction can be beneficial to improve the health of the mass and can reduce the economic burden of late treatment. Machine learning has played a pivotal role in predictive systems, which requires achieving a specific degree of accuracy for healthcare systems. Most recently researchers have found the necessity of bridging...

The Internet of things (IoT) is a growing area of research in the context of smart cities. It links a city’s physical objects that are equipped with embedded sensing, communicating, and computing technology. These objects possess the capability to connect and share data with minimal human intervention, which creates the potential to establish socia...

The Internet of Things (IoT) has changed our lives drastically. Customers, regulatory bodies, and industrial partners are driving us to use IoT. Although IoT provides new opportunities, security remains a key concern while providing various services. It is especially challenging how the data generated from IoT devices can be protected from potentia...

This paper presents results of a user study of the effects of virtual reality technology on VR Sickness and User Experience. In our study the participants watched two different panoramic (360) videos, one with relaxing content (beach clip) and second one with action content (roller coaster video clip). Videos were watched on four different head mou...

This paper presents the analysis of real-life medical big data obtained from a hospital in central China from 2013 to 2015 for risk assessment of cerebral infarction disease. We propose a new recurrent convolutional neural network(RCNN)-based disease risk assessment multimodel by utilizing structured and unstructured text data from the hospital. In...

Reusing large software systems, including libraries of reusable components, is often time consuming. While some core library features can be well-documented, most other features lack informative API documentation that can help developers locate needed components. Furthermore, even when needed components are found, such libraries provide little help...

With rapid development of a new generation of communication technology, sensor technology as well as big data technology, the application scenes of Internet of Things (IOT) based on these technologies increase constantly in extensive fields, for instance, there are great contributions of Internet of Things in fields such as smart home, intelligent...

The Computer-Aided Dispatch (CAD) system is an essential element of public safety to streamline the emergency response process and enable real-time information sharing. With the introduction of Next Generation 9-1-1 (NG9-1-1), there is great potential to enhance the functionalities and capabilities of the conventional CAD system. However, the trans...

The success of providing smart healthcare services in ambient assisted living (AAL) largely depends on an effective prediction of situations in the environment. Situation awareness in AAL is to determine the environment smartness by perceiving information related to the surroundings and human behavioral changes. In AAL environment, there are plenty...

With the irruption of inexpensive Depth sensor devices, hand gesture tracking has become again one topic of great interest. The problems to face respect other tracking algorithms are mainly two: the high complexity of the hand structure which translate in a very large amount of possible gestures, and the rapidness of the movements we are able to ma...

Due to the large amount of usage data collected from smart home appliances in an IoT-cloud environment, efficient mining techniques are of great need to capture the behavioral patterns. Existing mining algorithms are time-consuming and error prone as the amount of data is increasing rapidly. In this paper, we propose an abstraction approach to mode...

Smart Cities are advancing toward an instrumented, integrated, and intelligent living space, where Internet of Things (IoT), mobile technologies and next generation networks are expected to play a key role. In smart cities, numerous IoT-based services are likely to be available and a key challenge is to allow mobile users perform their daily tasks...

Developing automatic facial age estimation algorithms that are comparable or even superior to the human ability in age estimation becomes an attractive yet challenging topic emerging in recent years. The conventional methods estimate one person’s age directly from the given facial image. In contrast, motivated by human cognitive processes, we propo...

Smart city is the future city that benefits from the emerging technologies to manage the complexity, and improve the quality of life in many aspects including public safety, healthcare, transportation, or energy. Public safety is an important issue, and in urban environment such as smart city, it is necessary to conduct much research to study the s...

The next generation video surveillance systems are expected to face challenges in providing computation support for an unprecedented amount of video streams from multiple video cameras in a timely and scalable fashion. Cloud computing offers huge computation resources for large-scale storage and processing on demand, which are deemed suitable for v...

As Web APIs become the backbone of Web, cloud, mobile, and machine learning applications, the services computing community will need to expand and embrace opportunities and challenges from these domains.

In recent years, sensor-based human activity recognition has attracted lots of studies. This paper presents a single wearable triaxial accelerometer-based human activity recognition system, which can be used in the real life of activity monitoring. The sensor is attached around different parts of the body: waist and left ankle, respectively. In ord...

Sensing and alerting are fundamental to AAL. It is a long way from sensing to alerting, where lots of messages are interchanged among different processing units. Starting from the transfer of sensed data to the data processor and all the way to the alert generator, messages change in format, type, and size when intended for different stakeholders....

In this paper, we present a scalable and elastic content-based publish/subscribe model over cloud computing platform to support a smart, flexible and ubiquitous IPTV video surveillance system. Through this system, users of a surveillance system can subscribe to many surveillance events and receive video streams as a notification of new event occurr...

The time of capture of consumer photos provides rich information in temporal context and has been widely employed for solving various multimedia problems, such as multimedia retrieval and social media analysis. However, we observed that the recorded time stamp in a consumer photo does not often correspond to the true local time at which the photo w...

The availability and pervasive use of smart mobile devices makes it easy to upload videos and photos to the social websites and label them with any arbitrary tags from anywhere and anytime. This paper exploits the social tagging information and reveals the latent hidden tags which might be relevant to a social media item to improve the tag-based se...

Ambient assisted living (AAL) environments are augmented with sensing and communication technologies to support elderly people with personalized, adaptive and anticipatory requirements. A plethora of heterogeneous devices and services appear and disappear, which expose different behavior with the changing contexts in these environments. Therefore,...

This paper presents an energy efficient cognitive radio multichannel medium access control (MAC) protocol called ECR-MAC for battlefield communications. ECR-MAC requires only a single half-duplex radio transceiver on each node that integrates the spectrum sensing at physical (PHY) layer and the packet scheduling at MAC layer. In addition to explici...

With an ever-increasing accessibility to different multimedia contents in real-time, it is difficult for users to identify the proper resources from such a vast number of choices. By utilizing the user’s context while consuming diverse multimedia contents, we can identify different personal preferences and settings. However, there is a need to rei...

Cloud computing technology offers the possibility of inter-organizational medical data sharing at a larger scale. The different organizations can maintain their own cloud environment while exchanging healthcare data among them in a peer-to-peer(P2P) fashion according to some defined polices. However, there are many security and privacy challenges t...

Wireless sensor network (WSN) consists of resource constraint sensor nodes where nodes (sensors) send data to the base station/sink node and communicate with each other by either forming a cluster or without forming a cluster. Data aggregation in WSN takes place at the responsible nodes (aggregators) in a cluster before sending data to the base sta...

Distributed multimedia surveillance systems utilize heterogeneous sensors such as cameras, motion sensors, sound sensors, and RFID in order to provide safety and security to people. However, due to the potential of exposing privacy by these systems, many people are reluctant to be electronically monitored and suffer from privacy loss. In order to o...

Wireless communication is considered one of the fastest growing segments of the communications industry. Over the last two decades, there has been an exponential increase in spectrum demands due to new emerging wireless services, which has caused a shortage of allocable wireless spectrum resources [1–3]. According to the current static spectrum all...

Smart city is the vision of future city - with increasingly instrumented, inter-connected and intelligent urban systems - to improve the quality of life in many aspects including public safety, healthcare, transportation, or energy. With the ever-increasing presence of multimodal sensors in the smart city infrastructure, multimedia plays an indispe...

Design and implementation of an effective surveillance system is a challenging task. In practice, a large number of CCTV cameras are installed to prevent illegal and unacceptable activities where a human operator observes different camera views and identifies various alarming cases. But reliance on the human operator for real-time response can be e...

Automated multimedia surveillance systems capture, process and analyze multimedia data coming from heterogeneous sensors. These systems are often designed to support (semi-) automatic decision making, such as generating an alarm in response to a surveillance event, as well as providing useful information to human decision makers to ensure public sa...

Traditional wireless sensor networks (WSNs) work over the unlicensed spectrum, and as the spectrum becomes increasingly crowded, they suffer from uncontrolled interference. Recently, cognitive radio based sensor networks (CRSNs) have been envisioned as a promising type of implementation that provides quality-of-service (QoS) features for data trans...

This paper discusses the Internet of Things (IoT) within the cloud computing concepts and architectures. We review different frameworks of combined IoT architecture with cloud being in the center. Then we investigate adaptive interaction support concept. Finally, we propose a novel framework that incorporates and supports adaptive interaction of th...

Because of the highly dynamic topology and the unstable service status of nodes, services in vehicular ad hoc networks (VANETs) are not always reliable enough for users. Nodes in such a VANET incline to be selfish, which will even enhance this situation. In this work, we present an incentive model for VANETs to support more reliable services in net...

Ambient intelligence environments are technologically augmented surroundings that aim to provide personalized services to the users based on their context. Identifying these services for the users has become an increasingly challenging task. The overwhelming number of services in the ambient environment has made the selection and management of serv...

Elderly people constitute a major portion of world's population. Many of them are physically and mentally vulnerable and need continuous support for their health and well-being. There is a growing trend that these elderly people are placed in an ambient assisted living environment (AAL) with an aim to receive better care and support. In such settin...

Virtual Machine (VM) resource management is crucial to satisfy the Quality of Service (QoS) demands of various multimedia services in a media cloud platform. To this end, this paper presents a VM resource allocation model that dynamically and optimally utilizes VM resources to satisfy QoS requirements of media-rich cloud services or applications. I...

Service provisioning in assisted living environments faces distinct challenges due to the heterogeneity of networks, access technology, and sensing/actuation devices in such an environment. Existing solutions, such as SOAP-based web services, can interconnect heterogeneous devices and services, and can be published, discovered and invoked dynamical...

The new generation of multimedia surveillance systems integrates a large number of heterogeneous sensors to collect, process, and analyze multimedia data for identifying events of potential security threats. Some of the major concerns facing these systems are scalability, ubiquitous access to sensory data, event processing overhead, and massive sto...

Over decades of research and development in surveillance domain, multimedia surveillance systems have achieved a great maturity level. However, due to the distribution of surveillance capabilities in current surveillance systems, new challenges on how to manage and coordinate alerts and responses among the distributed parties becomes a challenge. T...

Surveillance video streams monitoring is an important task that the surveillance operators usually carry out. The distribution of video surveillance facilities over multiple premises and the mobility of surveillance users requires that they are able to view surveillance video seamlessly from their mobile devices. In order to satisfy this requiremen...

This paper describes the process of monitoring obese people through a cloud-based serious game that promotes them to engage in physical exercises in a playful manner. The monitoring process focuses on obtaining various health and exercise-related parameters of obese during game-play, such as heart rate, weight, step count and calorie burn, which co...

Today digital video is used extensively in many applications. Sometimes a video could be treated as a top secret for an organization, for example military secrets, surveillance footage and corporate product designs, and may need to be shared among a group of people in a secure manner. Traditional data security methods such as encryption techniques...

Due to increased security threats, new generations of multimedia surveillance systems have emerged. These systems integrate multiple media streams such as video, audio, and images from various sensors in order to better comprehend the current situation and provide useful information to protect lives and resources of individuals and organizations. A...

Multimedia surveillance systems in this age are equipped with heterogeneous sensors such as cameras, motion sensors, sound sensors, and RFID in order to provide a sense of safety and security to the people. However, due to the potential of being exposed, many people are increasingly being reluctant to be electronically monitored and suffer from pri...

This paper proposes a mechanism to monitor in real-time various heath conditions of obese people through a cloud-based serious game framework. We integrate body sensors and physical activity sensors within this gaming framework. Using a Treasure Hunting serious game scenario, we monitor various health and exercise related parameters of obese people...

Worldwide elderly population is increasing. Many of these elderly are placed in assisted living environment, and they often need cognitive or physical support in their daily lives. To address such need, a lot of attention have been given from various perspectives such as health monitoring, medication adherence, body-sensor network, smart home for e...

Obesity has become an outstanding public health issue in most countries around the world. Many attempts have been made to address this issue that ranges from taking medication to doing exercise to following a diet plan to playing games. Few approaches combine exercise and game to engage the obese people in playing fun-based games or purposeful game...

Nowadays, wireless sensor network (WSN) applications have been used in several important areas, such as healthcare, military, critical infrastructure monitoring, environment monitoring, and manufacturing. However, due to the limitations of WSNs in terms of memory, energy, computation, communication, and scalability, efficient management of the larg...

Obesity is becoming an outstanding public health issue in most countries of the world. One innovative approach to address this problem is utilizing serious games which combine exercise and gaming in more attractive manners. While attempts have been made to use gaming to tackle obesity, existing work generally fail to provide the full potential of p...

Ambient-aware environments are technologically augmented with myriad sensors, devices and other emerging services in order to support users. However, users find it complex in interacting with such environments due to the presence of numerous devices and services. In this situation, providing context-aware implicit or automatic interaction support m...

In this paper, we present an interactive edutainment system for the children that leverages multimedia and RFID technologies in a seamless manner. The proposed system allows children to learn about new objects/entities by tapping on physical objects through a specially designed RFID-Bluetooth based Tangible User Interface (TUI) tool. The output of...

The number of elderly population is increasing worldwide and often they need assistance in their daily activities. In many situations, these elders are placed in elderly care facilities in order to receive continuous assistance from the human caregivers. The caregivers usually keep a watchful eye on the elders and help them in their activities of d...

The growing number of elderly population at home and abroad necessitates improved approaches to elderly care provision. Elders, often with cognitive and physical impairment, need assistance in their activities of daily living (ADLs), which is usually provided by human caregivers. As the demand for caregivers assistance increases, the shortage of tr...

Multi-sensor systems are increasingly used for various monitoring tasks. Information obtained from such systems are imprecise in nature but is used for important decision making tasks. This precipitates the need to dynamically compute the quality of information (QoI) based on sensor observations. However, the heterogeneity of sensors, the addition...

Processing resource intensive operations for surveillance systems and taking appropriate measures in real-time is a big challenge. In multimodal surveillance system with limited computing resource, it is hard to execute all tasks or processes to identify events and suggest actions to the decision makers. To overcome this problem, we propose a dynam...

Smart surveillance systems have dramatically evolved over the recent years due to the availability of affordable sensing technologies, media processing discoveries and advanced networking capabilities. In third generation of surveillance systems, the distribution of surveillance capabilities over different sites has extremely boosted the complexity...

A multimedia surveillance system aims to provide security and safety of people in a monitored space. However, due to the nature of surveillance, privacy-sensitive information such as face, gait, and other physical parameters based on the captured media from multiple sensors, can be revealed without the permission of the people who appear in the sur...

Selecting ambient media services in a smart home monitoring environment is challenging. Services in such an environment should be ubiquitous, adaptive, and robust with respect to access and delivery. Many different techniques exist for selecting services in smart environments, for example, dynamic programming, genetic algorithms, and fuzzy logic. H...