The purpose is to improve the monitoring and evaluation of the teaching quality of higher education based on the 6G IoT (Internet of Things) communication, and study the application of data mining technology in the management of teaching systems. First, a series of methods and the theoretical basis of IoT communication and data mining technology are displayed, and the data of higher education and teaching

Manipulator control and planning for complex systems has become a fantasizing concept for the current age robotics bases technological era. The manipulator motion control and planning deals with various challenges of obstacle avoidance and complex environmental conditions which are dealt in this article. This paper addresses the crucial challenges of the current manipulator planning approaches by utilizing

The classical networks are vertically integrated into which control and data plane are connected which makes it more difficult to manage. Software-Defined Networking (SDN) is an emerging technology that broke this vertical integration and separates the data plane from the control plane. The entire network control is (logically) centralized that maintains a view of the network. However, the centralized

This paper presents an economical approach to control frequency of an isolated three area hybrid micro grid system (3A-HµGS) with the coordinated participation of plug in electric vehicles (PEVs). In addition to diesel generators, an integration of EV fleets to the micro grid as a dynamic device makes the system more reliable and highly controllable. PEVs are connected to the hybrid system as a source

The purposes are to improve the accuracy of inventory demand forecast, balance the indexes of enterprises, and reduce the costs of human, material and financial resources of enterprises and suppliers, thus reducing the supply chain costs and meeting the actual needs of enterprises. In terms of training a large amount of data, deep learning is better than traditional machine learning. The sales demand

The extensive implementation of smart utilities in household and business applications have enhanced the embedding of nonlinear electronic components in the majority of devices. The nonlinear load current–voltage (i–v) behaviour lead to the insertion of unproductive higher-order harmonics in the supply mains. This causes time-variant performance deviation of sensitive devices and overall depreciation

New York City taxi rides form the core of the traffic in the city of New York. The many rides taken every day by New Yorkers in the busy city can give us a great idea of traffic times, road blockages, and so on. Predicting the duration of a taxi trip is very important since a user would always like to know precisely how much time it would require of him to travel from one place to another. Given the

With the continuous development of Web service composition, many services with the same or similar functions but different non-functional attributes have emerged. How to meet the user's demand for quality of service (QoS) is a challenging topic when selecting services. Aiming at the problem of service composition optimization, a genetic algorithm for Web service selection based on QoS perception is

Particle Swarm Optimization (PSO) has emulated the social behaviour of some animals such as a flock of birds and a school of fish, searching for food. This communicative sociality when modelled as computational procedure has solved a wide range of complex problems. Over the years, PSO has undergone transformations and numerous variants have come up. In this paper, PSO has been hybridized with two new

The study is to explore the risks in the Internet finance and the factors affecting users' behavior under the background of big data. First, the risks of the Internet finance under the background of big data and the existing risk control modes are analyzed. Then, based on BP neural network (BPNN), an Internet financial fraud identification model is constructed, and corresponding touch rules are made

The present work aims to expand the application of machine learning models in predicting and identifying traffic flow data and provide a reference for the scheduling and management of shared traffic against the Coronavirus Disease 2019 (COVID-19) pandemic. First, a time segmentation-based prediction model is proposed considering the classification superiority of Support Vector Machine (SVM) and combining

Hybrid energy framework is the designing plan of hybridizing power supply part or blending them, for instance, organizing different energy assets to work in parallel (equivalent) is exceptionally normal in force. In this way, hybridizing is characterized as the shaping crossbreed of sets of specialists for cooperating to accomplish a reason. Hybrid energy framework is a foundation plan that incorporates

Multicore architectures are being used in different sectors like automobile, avionics, and health-care. Correctness of shared data is the most important concern in multicore architectures. Sharing of data yields problem of cache coherence with inconsistent memory state that affects system performance. Conventional cache coherence protocols are not predictable in nature. Predictable Modified-Shared-Invalid

Diabetes is a chronic hyperglycemic disorder. Every year hundreds of millions of people around the world have diabetes. The presence of irrelevant features and an imbalanced dataset are significant issues to train the model. The availability of patient medical records quantifies symptoms, body characteristics, and clinical laboratory test values that can be used in the study of biostatistics aimed

Load Haul Dumpers (LHDs) are prominent equipment employed for transportation operations in many of the underground mines. This equipment often suffers from frequent breakdowns due to a variety of technical and managerial practices resulting in increased maintenance costs and loss of production and productivity. Reliability, Availability and Maintainability (RAM) analysis deal with the optimal functioning

Recent advancements in the field of internet of things (IoT) and networking technologies, maximum attention has been received in the field of privacy and security in IoT environment. The IoT devices are commonly employed to acquire real world person dataset, security and privacy pose a major challenging issue. To resolve these issues, this paper develops novel partially homomorphic encryption named

Dependency among system elements impress the system performance and efficiency, thus dependencies have to be modeled and analyzed. The aim of this paper is introducing and studying a specified dependence in reliability analysis of fault trees with dynamic dependencies; named Timing Functional Dependency (TFDEP) gate. In most systems with functional dependency constructions equipped with known FDEP

For content based indexing of videos, numerous tools and techniques are pipe-lined. The major challenge that these techniques face is the accuracy of index points generated. This paper presents an efficient way to extract text from video frames along with its timestamps. Text extraction takes place in a three-step method which combines pre-processing of extracted Video Frames, similarity measurement

The rate of using cloud service is increased in recent years. The service provided by cloud computing (CC) is pre-owned by various laptops, smartphones, desktop computers, and notebook users. Cloud service enable the authorization practice due to an increasing number of cloud service users. Cloud service employs different host to deliver service to the users. But some hosts may be malicious and steal

Supply chain managers have realized that competition between supply chains has replaced competition between companies. In addition, with increasing disruptions and uncertainty in planning, companies need to be able to make informed decisions at risk. Coordination in the resilient supply chain and appropriate selection of suppliers play a key role in risky situations. In previous research, mainly the

Traditional and low efficiency of water use will not be able to meet the current trends in agricultural development, therefore water consumption is the most crucial issue. In this regard, One of the best ways to increase water resources is to promote existing water systems and thus provide more water. For this aim, the construction of terrestrial canals has been changed to precast concrete canals.

With continuously evolving and unpredictable markets, manufacturing firms are sorting to different interventions so that an optimal utilization of resources can be attained. One factor with forever focus of production managers is the demand variation. The efficient models can no longer rely on a constant production rate and non-agile systems. Thus, the objective of the presented model is to provide

This study attempts to propose a predictive analytics approach for the prediction of the potential odds of developmental stuttering in preschool-aged children. This approach would yield better and more accurate results for the whole population of children. The publicly available dataset from Vanderbilt University was chosen to acquire research-based historical temperamental data on both children who

Wind farms (WFs) experience various challenges that affect their performance. Mostly, designers focus on the technical side of WFs performance, mainly increasing the power production of WFs, through improving their manufacturing and design quality, wind turbines capacity, their availability, reliability, maintainability, and supportability. On the other hand, WFs induce impacts on their surroundings

The probability of the correct performance of the activities required by the system over a given period of time and the working conditions specified by a person is called human reliability. Human reliability is seen in all industries, and it can affect the performance of the system or results in unpleasant events. In electrical power systems, the human errors of maintenance groups are one of the most

The requirement of the consistent solution of Bi-level Multi-objective Quadratic Fractional Problem(BLMOQFP) provides the avenue for this research through Fuzzy Goal Programming(FGP) approach. The present study offers to tackle the problems which may have some objectives with infeasible points. Due to having a non-optimal solution of some objective functions, the process becomes complicated to arrive

Water detection is a salient feature in conservation of water and for crisis management. This work avails of Synthetic-Aperture Radar (SAR) images, using various methods of deep learning for detection of water. The adhoc for candidate’s submission are on the basis of the changes in the detection of SAR images from multiple passes in the same place. It is allocated to the target neural network system

The purpose is to further promote the integration of advanced technology in the field of drama. Under the background of artificial intelligence of Internet of things, drama language is analyzed by using a clustering algorithm of data mining technology. The original K-means algorithm is compared with the improved K-means algorithm through the use and analysis of the corresponding data mining methods

The rapid development of cloud computing technology has spawned many excellent cloud computing platforms. These cloud computing platforms provide an effective solution for the processing of big data, which can be used as the basis for the study of parallel mining algorithms and the application of algorithms. This article uses the FP-Growth algorithm to mine and analyze computer big data. Aiming at

The Indian farmers are mostly engaged in the production of rice, wheat, etc. involving repetitive and stressful cultivation tasks that are usually carried out by manual efforts irrespective of the changing climatic conditions. Moreover, in the Indian agricultural scenario, the farmers need of adequate cultivating plans and strategies in order to perform their routine agricultural activities in an effective

In this article modified H2 minimization based Internal Model Control-Proportional Integral (MH2IMC-PI) control structure for time delayed stable process is designed. Initially, H2 optimal IMC-PI is designed and implemented which is then altered by including an additional controller block with a proportional gain constant. The final response of the feedback system is enhanced due to this modification

The flipped classroom concept is one of the latest advents in the education technology that builds up the standard for teaching–learning process fostering the students in higher education learning. In order to study the flipped classroom experimental teaching based on DBR in the information technology environment, this paper based on the DBR education research paradigm, through the practical exploration

This optimization problem focuses to determine the five independent design variables to find out the optimal values of heat transfer coefficient (\(\stackrel{\sim }{H}\)) and pressure drop \((\Delta P)\) parameters. It consists of two conflicting optimization problem as discrete objective functions: first to maximize heat transfer coefficient and second to minimize pressure drop value. In this work

Three-body abrasion wear problem in real industry application has been significantly reduced by replacing the heat-treatable steels with the newly developed ultrahigh strength martensitic steel. The wear performance under these conditions of one such steel, namely JFE EH400 was investigated in the present work. The input process parameters selected at different levels were employed to formulate the

This paper examines various risk-efficient solutions that enable investors to optimize their risk-return profile in comparison to the traditional market-capitalization index. Investment practitioners and other equity analysts considered cap-weighted market indices as neither efficient nor diversified; due to some notable drawbacks such as overconcentration of large-cap, price noise, massive drawdown

Recommender systems (RS) are information filtering approaches that intend to foresee the rating for customers and products, mainly from big data for recommending their likes. Movie RS offers a process of assisting customers in the classification of customers with identical preferences. It makes the RS an essential part of websites and e-commerce applications. Many of the classical RS lack accuracy

In order to improve the teaching quality and training efficiency of sports training, the human–computer interaction (HCI) technology of artificial intelligence technology is used to build an expert system, and the cognitive model of self-help navigation and hypertext navigation is designed for students, so that they can obtain the corresponding theoretical knowledge through the cognitive model in the

With the rapid development of sustainable practices, supply chain members are interested in performing well, not only economically but also environmentally. The present paper develops an imperfect production inventory model where items are prone to deterioration. The bad quality items so produced are separated and sold to a different market. However, the deterioration calls for effective techniques

Predicting the optimum availability of the physical processing unit of sewage treatment plant is defined as a Nondeterministic Polynomial time-hard problem. Recently many researchers have utilized soft computing techniques to handle this issue. However, the existing techniques are far from the optimal solutions as soft computing techniques suffer from various issues such as, poor computational speed

COVID-19, a pandemic has suddenly created an unprecedented crisis in the world. COVID-19 has severely affected the lives of all the people around the world by forcing the closure or suspension of almost all socio-economic activities. Some of the countries including developed and developing such as China, the USA, Italy, Spain, the UK, France, Iran and India, etc are comprehensively affected to a deep

Heterogeneous networks are prominent and promising architectures for extended usage and real time communication processes. The placement of small cell Base stations the densely populated to increase the services offered to multiple users simultaneously and hence constitute heterogeneous networks. Energy requirements computation of HetNets is challenged by continuous demand, leading to be deployment

The objective of this study is to assess the unmet needs of low-income consumers in India. The study also identifies the critical segments of low-income consumers and the important factors influencing their purchase decision. Finally, the study suggested suitable marketing strategies and marketing channels realize these segments' market potential. This study used a detailed structured interview with

Resilience is about the ability of the system to resist, adapt to, and expeditiously recover from a disruptive event. The first and maybe the crucial step of resilience management is known as resilience analysis. However, there are many obstacles in front of the analyzers to analyze the resilience of systems. One of these obstacles is precise resilience data accessibility. Conventional resilience analysis

Device-to-device communication attracts the research community due to its diversifying range of applications. Device-to-device communication occurs between two devices without any aid from the base station. Thus, it helps in providing connectivity in low connectivity areas. In this article, authors proposed a new technique named as Clustering Based Opportunistic Traffic Offloading (CBOT), for Device-to-device

The current paper reveals the performability and maintenance decisions for the Coal Ash Handling System (CAHS) of a subcritical Thermal Power Plant (TPP). This system comprises of five subsystems i.e. Furnace, Electro Static Precipitator (ESP), Vessel, Compressor Transportation Line (CTL) and Ash Silo. Transition diagram was formulated on the basis of probabilistic approach for various subsystems.

In this paper, a mathematical formulation is presented for fire station’s locating and facilities allocating to stations in different periods and emergency situations (wars and natural disasters). This model is designed, considering amount of demands and facilities coverage radius, being dynamic based on traffic and type region and fuzzy in different periods. According to fact, in the model, amount

Recently, the amount of research in the field of self-driving cars has grown significantly with autonomous vehicles having clocked in more than 10 million miles, providing a substantial amount of data for use in training and testing. The most complex part of training is the use of computer vision for feature extraction and object detection in real-time. Much relevant research has been done on improving

Social network analysis (SNA) has become a prominent research area in recent times. The popularity increased due to the rich information these networks possess. SNA is a domain of data analytics that practices graph theory to understand the social structures.Understanding and Analyzing the present links in the social network to predict the future possible links from the existing.The Network forms the

The continuous improvement in the level of sports competition has led to many recent research designs for providing easy and quick ways for athlete training. The aim behind this research is to present an adaptive hybrid non-rigid target tracking method by adopting (Mean-shift) and color histogram algorithm to process the characteristics of sports video. This work attempts in designing a tracking algorithm

This effort attempts to study the change point problem in the area of non-linear profiles. A method based on Artificial Neural Networks (ANN) is proposed for estimating the real time of a single step change. The feature vector of the proposed Multi-Layer Perceptron (MLP) is based on Z and control chart statistics for nonlinear profiles. The merits of the proposed estimator are evaluated through simulation

With the continuous expansion of the application field of Case-Based Reasoning (CBR) technology, it is increasingly difficult for programmers to acquire and express professional knowledge. Therefore, this paper first gives a structured expression of professional knowledge, and combines the Case-Based Reasoning method with the scientific measurement of keyword weight (Term Frequency-Inverse Document

This paper develops a two-layer supply chain for defective and non-defective types of items produced by manufacturer and retailer. The manufacturer produces items on the condition that the faulty items will return to the manufacturer after inspecting without financial liability of the retailer. The damaged items are identified subsequent of the conducted full screening process and reworked by the retailer

In order to assist college football training, an edge computing-based path planning algorithm for the football robot, and an improved PSO (particle swarm optimization) algorithm are proposed. First, the cartesian coordinate system is transformed into the polar coordinate system, and the coordinates of the robots’ path coding are calculated and displayed in the polar coordinate system. Then, the robots’

It is aimed to enable many consumers to use mobile payment on a large scale and improve the operation and management capabilities of major e-commerce platforms. Based on collating much literature, the comparative analysis method compares different e-commerce platform’s operation methods and mobile payment business scenarios. Furthermore, the vital factors affecting e-commerce operations are found.

A maintenance policy and the management of the inventory of spare parts and their joint optimization often challenge managers and researchers. In this paper, the first analytical joint optimization model is established. A simulation model is then developed for the system operating under the suggested condition-based maintenance to optimize the maintenance outline of mining dump truck motors based on

The quality of the software being developed varies with the size and complexity of the software. It is a matter of concern in software development as it impairs the faith of customers on the software companies. The quality of software can be improved if the prediction of faults and flaws in it are done in the early phases of the software development and thus reducing the resources to be used in the

The diagnosis of heart disease is found to be a serious concern, so the diagnosis has to be done remotely and regularly to take the prior action. In the present world finding the prevalence of heart disease has become a key research area for the researchers and many models have been proposed in the recent year. The optimization algorithm plays a vital role in heart disease diagnosis with high accuracy

Huge amount of unstructured data is posted on the cloud from various sources for the purpose of feedback and reviews. These review needs require classification for many a reasons and sentiment classification is one of them. Sentiment classification of these reviews quite difficult as they are arriving from many sources. A robust classifier is needed to deal with different data distributions. Traditional

Orthogonal frequency division multiplexing (OFDM) is a multiple carrier modulation scheme that makes use of orthogonal subcarriers to enhance the performance of system. The signal is transmitted in parallel form across the carrier in OFDM system. Multiple sub-carriers that are closely spaced with respect to each other are utilized that leads to efficient use of spectrum and provide more resilience

In this study, a hybrid algorithm that focused on the water cycle and moth flame (WCMF) algorithm to solve the optimal relay coordination problem in a Microgird has been proposed. In the hybrid WCMF algorithm, the spiral movement of the moth is incorporated in the basic water cycle algorithm (WCA) to increase its performance. Further, the Levy flight function has been added to explore the randomization