Although the blockchain technology was first introduced through Bitcoin, extending its usage to non-financial applications, such as managing electronic medical records, is an attractive mission for recent research balance needs increasing data privacy and regular interaction among patients health providers. Various systems that adopts in records have been proposed. However, there a need more work better characterize, understand evaluate employment of healthcare industry. In this paper,...

Intermittent connectivity, abrupt changes in network topology and low reception rate are the most important properties that distinguish VANET (vehicular ad hoc networks) from other types of networks. To optimize reliability time criticality metrics data communication protocols for VANET, novel ideas needed. In this article, we present a tutorial on methods (at layer), encountered recent literature, small large scale routing protocols, geocasting (broadcasting, dissemination, warning...

Although blockchain technology was first introduced through Bitcoin, extending its usage to non-financial applications, such as managing academic records, is a new mission for recent research balance the needs increasing data privacy and regular interaction among students universities. In this paper, design blockchain-based system, namely UniChain, Electronic Academic Records (EARs) proposed. UniChain designed improve current management systems it provides interoperable, secure, effective...

Parallel, coordinated, and network-wide traffic management requires accurate efficient forecasting models to support online, real-time, proactive dynamic control. Forecast accuracy is impacted by a critical characteristic of flow, i.e., overdispersion. Efficiency depends on the time complexity algorithms. Therefore, this paper proposes novel spatiotemporal multivariate model that based negative binomial additive (NBAMs). Negative utilized handle overdispersion, are used efficiently smooth...

Several research on cyberbullying detection have employed different deep learning and machine methodologies to achieve promising outcomes. Nevertheless, most of them primarily concentrated using English data for both purposes: training testing, with only a limited number considering native languages such as Arabic. Thus, there is critical need address in its linguistic context. The dataset utilized this has been compiled sourced from various Kaggle Github repositories. Six collected...

Research publications are reaching a stunning growth rate. Therefore, new challenges regarding managing the peer-review activities presented, such as data security, privacy, integrity, fragmentation, and isolation. Further, because of emergence predatory journals research fraud, there is need to assess quality process. This proposes fully functional blockchain-based editorial management system, namely, TimedChain, for process from submission publication. TimedChain provides secure,...

Continuous monitoring of road surface quality is necessary to maintain high functionality the entire networks and allow users perceive roughness. Although several fundamental methods have been used evaluate roughness by employing smart probe cars, accuracy these affected factors, such as vehicle speed, sensor positions, suspension systems. Also, long-term application network also limited due cost. Further, widely indices do not reflect users' perception about are evaluation methods....

Self-checkout systems enable retailers to reduce costs and customers process their purchases quickly without waiting in queues. However, existing self-checkout suffer from design problems as they require large hardware consisting of a camera, sensors, RFID other IoT technologies which increases the cost such systems. Therefore, we propose smart shopping cart with self-checkout, called iCart, improve customer's experience at retail stores by enabling just walk out checkout overcome...

The research on complex human body motion including sports and workout activity recognition is a major challenge long-lasting problem for the computer vision community. Recent development in deep learning algorithms to track people's characteristics based video sensors can be used infer pose further analysis. Specifically, tracking movements while performing multi-pose physical exercise helps individuals provide fine granularity feedback repetition counting recognition. Therefore, this...

The agriculture sector stands as one of the most significant sectors sustaining 70 percent world's population. In this sector, supply consists a series interconnected stages, spanning from farming through production to final delivery goods end customer. A lack transparency within chain presents largest gap between suppliers and retailers, such ensuring true value products or services. This research introduces AgroChain, Blockchain-based system that is designed support Agricultural Supply...

Individual query expansion term selection methods have been widely investigated in an attempt to improve their performance. Each method has its own weaknesses and strengths. To overcome the utilize strengths of individual methods, this paper combined multiple methods. In paper, initially possibility improving overall performance using (QE) are explored. Secondly, some well-known rank aggregation approaches used for combining QE Thirdly, a new fuzzy logic-based approach that considers...

This paper proposes a three-computing-layer architecture consisting of Edge, Fog, and Cloud for remote health vital signs monitoring. The novelty this is in using the Narrow-Band IoT (NB-IoT) communicating with large number devices covering areas minimum power consumption. Additionally, reduces communication delay as edge layer serves terminal initial decisions prioritizes data transmission minimizing congestion on base stations. also investigates different authentication protocols improving...

Heterogeneous vehicular networks (HETVNETs) evolve from ad hoc (VANETs), which allow vehicles to always be connected so as obtain safety services within intelligent transportation systems (ITSs). The and data provided by HETVNETs should neither interrupted nor delayed. Therefore, Quality of Service (QoS) improvement is one the topics attracting attention researchers manufacturing community. Several methodologies frameworks have been devised address QoS-prediction service issues. In this...

The analysis of badminton player actions from videos plays a crucial role in improving athletes' performance and generating statistical insights. complexity speed movements pose unique challenges compared to everyday activities. To analyze actions, we propose skeleton-based keyframe detection framework for action analysis. Keyframe is widely used video summarization visual localization due its computational efficiency memory optimization analyzing all frames video. This segments the complex...

Although speed bumps are used to force drivers reduce car for avoiding accidents, these may cause crash or accident when do not notice them. Studies have proposed different methods detect and alert drivers. However, limitations require modifications enable accurate detection. Also did propose reduction approaches. Therefore, in this research, we a method that utilizes smartphone microelectronic mechanical technology bump The system uses the gravity sensor vertical vibration of cars passes...

Fast and reliable communication plays a major role in the success of smart shopping applications. In "Just Walk Out" scenario, video camera is installed on cart to monitor activities transmit images cloud for processing so that items can be tracked checked out. This paper proposes prototype based image-based action recognition. Firstly, deep learning networks such as Faster R-CNN, YOLOv2, YOLOv2-Tiny are utilized analyze content each frame. Frames classified into three classes: No Hand,...

The accuracy of short-term traffic volume prediction in urban areas depends on the characteristics and how models address these characteristics. In this paper, we propose a space-time multivariate Negative Binomial (NB) regression for areas. NB spatially correlates multiple overdispersed volumes roads. We add temporal correlation by allowing each to correlate with its values at previous time segments. Data consisting collected Taipei city are used verify model. root mean square error is...

Accurate tracking of shelves in markets is necessary for efficient and real-time management stock products. Smart technologies assist determining the positions items movement to or from shelves. Recently, several shelf systems have been proposed utilizing sensor fusion, image processing, deep learning, Internet Things. However, these suffer imbalance calibration load cell sensors, high cost hardware installation, low positioning accuracy. Therefore, we propose an accurate online Weighing...

Vehicular congestion is a major problem in urban cities and managed by real time control of traffic that requires accurate modeling forecasting volumes. Traffic volume series has complex characteristics such as autocorrelation, trend, seasonality overdispersion. Several data mining methods have been proposed to model forecast for the support strategies. However, these focus on some ignore others. Some address autocorrelation overdispersion vice versa. In this research, we propose method can...

Software development methods have been evolved to enable producing usable systems rapidly while considering all requirements. Several studies focused on the need balance between rapid and capturing requirements related user experience business workflow. This has become more urging during COVID19 because many businesses want quickly transfer electronic that are accurate, efficient, easy learn, satisfy users support remote work. Therefore, this paper proposes a framework by integrating Rapid...

The violation traffic laws by driving at high speeds, the overloading of passengers, and unfastening seatbelts are risk can be fatal in event any accident. Several systems have been proposed to improve passenger safety, either use sensor-based approach or computer-vision-based approach. However, accuracy these still needs enhancement because entire road network is not covered; approaches utilize complex estimation techniques, they significantly influenced surrounding environment, such as...