Information Communication Techniques Research Articles

Augmented reality technology based on school physical education training

Physical education is a programme that combines skills and athletic experience. Applied coaching in augmented reality (AR) has rarely been utilized in school physical education. Visual coaching has also been used in athletic activities, but it neither includes immersive practice nor equally embodies academic learning and athletic skills. Recently, techno pedagogical methods have been introduced to utilize constructive teaching and learning progressions through information communication techniques (ICT). The main goal of this work is to analyze the effect of teaching by applying increased physical education realities for spatial orientation creation and acquisition in contrast to conventional exhibition education. To educate school students in physical education advancements, the AR method of training is efficient, particularly to obtain better performance in students' engagement in sports. However, the massively augmented reality renderings limit the operating environment to a costlier, high-complexity integrated unit, and it is impossible to run AR simulations on normal computers. Considering the above issues, this article designs and suggests an augmented reality (AR) solution for school physical education training based on augmented reality technologies: a cloud network, Internet of things (IoT), and remote users. AR simulation outcomes explored that sportsperson performance data and input from sports trainers, the positive impact of the augmented reality environment, is demonstrated to enhance the school physical education systems' training and learning ability.

Secure Crowdsensing in 5G Internet of Vehicles: When Deep Reinforcement Learning Meets Blockchain

Vehicular crowdsensing has been widely leveraged in the intelligent transportation systems to collect real-time traffic data. However, the data security and privacy preservation issues have not been well investigated for vehicular crowdsensing. This article proposes a blockchain-enabled vehicular crowdsensing system to protect user privacy and data safety in 5G Internet of Vehicles (IoV). In order to maximize the security and minimize the latency of blockchain, a deep reinforcement learning (DRL)-enabled algorithm is proposed to select proper active miners and transactions. Then, a two-sided matching-based algorithm is put forwarded to allocate the nonorthogonal multiple access subchannels to minimize the maximum uploading delay of all users to guarantee the freshness of messages. Extensive experimental results demonstrate the effectiveness of our system. Finally, system analysis demonstrates that our system can protect user privacy, guarantee data security as well as integrity, and defend against common attacks. With the development of information communication techniques, vehicular crowdsensing is widely leveraged in the Intelligent Transportation Systems (ITSs) to collect real-time traffic information (e.g., traffic accidents and jams). Recently, vehicles have begun to be regarded as the consumer electronics product, due to the advancements in the development of autonomous vehicles, and users in vehicular crowdsensing focus more and more on their privacy protection and data security. In order to guarantee the connectivity and communication of users participating in the vehicular crowdsensing, intelligent management of network traffic and offering services to vehicles has become a vital need, especially for the highly dynamic topology and untrusty communication environment in 5G Internet of Vehicles (IoV).1 However, the vehicular crowdsensing-based data collection and transmission in 5G IoVs face the following major challenges:

Сучасні методи дослідження ґрунтового покриву з використанням інформаційно-комунікаційних технологій

Сучасні методи дослідження ґрунтового покриву з використанням інформаційно-комунікаційних технологій

Traffic Signal Phase Scheduling Based on Device-to-Device Communication

Device-to-device (D2D) communications enable direct communications among mobile entities, which brings new revolutions to existing cellular networks. Many use cases which can benefit from D2D are introduced such as vehicles-to-vehicles communication, vehicles-to-infrastructure communication, machine-to-machine communication, and so on. With the help of these information communication techniques, we propose a real-time traffic signal control approach to relieve traffic problems in this paper. Currently, a series of traffic problems, such as traffic congestion, traffic accidents, and vehicle exhaust emission, are increasingly inconveniencing city residents, especially in rush hours. One of the most dominating approaches to relieve the traffic congest is to determine the phase timing of traffic signals. However, a major shortcoming of the existing phase timing related control strategies is of highly computational complexity, which causes, to some extent, a response delay. The approach based on D2D communication, in this paper, on one hand can collect data of various types via sensors and actuators and on the other hand can reduce the response time as much as possible. Specifically, considering an intersection with four legs, we encoded the corresponding set of signal lights of each leg using a genetic algorithm. To evaluate the efficiency of phase timing plan in this paper, we have conducted extensive simulations, and the results show that our approach can respond to the considered traffic flow within one second. Compared with other traffic signal control systems, the performance is improved almost by 67% with regards to the queue length waiting at the intersections during traffic signal light cycle(s).

Smart city with Chinese characteristics against the background of big data: Idea, action and risk

Chinese urbanization has generated great impacts on the world since the reform and opening up. However, urban problems, e.g., environmental pollution, resources shortage, and traffic jam, have been more and more serious for urban management and development. Smart city has been put forward as an effective approach to achieve better urban management recently. Smart city aims to realize the integration of municipal service, business, transportation, water, energy source and other urban sub-systems through close combination of human wisdom and information communication techniques (ICTs). As a result, the link and synergy of information could be ultimately established with ICTs, e.g., internet, internet of things, cloud computing. Yet, few studies have been conducted to systematically link smart city with big data in China. This paper aims to put forward a development framework of smart city with Chinese characteristics against the background of big data. Key actions, including rational planning of city infrastructures, the establishment and improvement of long-acting mechanism, the effective performance of city managerial function, are proposed to realize the development idea. Meanwhile, this paper also investigates the risks embedded in development of smart city with Chinese characteristics, e.g., information safety, weak emergency responding capacity and poor independent research and development capacity of core technology. This study can facilitate Chinese local governments to systematically plan smart city before clinging the hot concept in a rush.

Towards Integrating Distributed Energy Resources and Storage Devices in Smart Grid

Internet of Things (IoT) provides a generic infrastructure for different applications to integrate information communication techniques with physical components to achieve automatic data collection, transmission, exchange, and computation. The smart grid, as one of typical applications supported by IoT, denoted as a re-engineering and a modernization of the traditional power grid, aims to provide reliable, secure, and efficient energy transmission and distribution to consumers. How to effectively integrate distributed (renewable) energy resources and storage devices to satisfy the energy service requirements of users, while minimizing the power generation and transmission cost, remains a highly pressing challenge in the smart grid. To address this challenge and assess the effectiveness of integrating distributed energy resources and storage devices, in this paper we develop a theoretical framework to model and analyze three types of power grid systems: the power grid with only bulk energy generators, the power grid with distributed energy resources, and the power grid with both distributed energy resources and storage devices. Based on the metrics of the power cumulative cost and the service reliability to users, we formally model and analyze the impact of integrating distributed energy resources and storage devices in the power grid. We also use the concept of network calculus, which has been traditionally used for carrying out traffic engineering in computer networks, to derive the bounds of both power supply and user demand to achieve a high service reliability to users. Through an extensive performance evaluation, our data shows that integrating distributed energy resources conjointly with energy storage devices can reduce generation costs, smooth the curve of bulk power generation over time, reduce bulk power generation and power distribution losses, and provide a sustainable service reliability to users in the power grid.

Agricultural Marketing Information System: A Case Study in Regulated Markets of Meghalaya

Agricultural marketing information is crucial to the farmers to make decisions about what to grow, when to harvest, to which market produce should be sent and whether or not to store it. An attempt has been made to identify the various patterns of collection, documentation, dissemination and constraints of agricultural marketing information (AMI) of regulated market functionaries in the study area. To study the existing agricultural marketing information system (AMIS) and its dissemination, two regulated markets namely, Mawiong Regulated Market in Mylliem Block of East Khasi Hills and Garobadha Regulated Market in Selsella Block of West Garo Hills district of Meghalaya were selected purposively. From the findings of the research study, it was revealed that market arrivals and prices (maximum, minimum and modal) were the only two major types of market information documented and made available to the farmers and other intended beneficiaries in sample regulated markets. Both the regulated markets transmitted the information to AGMARKNET, Meghalaya State Agricultural Marketing Board (Portal), farmers, Department of agricultural marketing, Department of agriculture and newspaper. Farmers are unable to evaluate and document the agricultural market information due to illiteracy and poor communication ability, lack of auction system, no grading from the farmers point and cess was taken in random were the major constraints in management of AMI in the selected Garobadha and Mawiong regulated markets. Proper integration of various agencies for adequate and efficient dissemination of vital agricultural marketing information so that it will act as a ‘one-stop solution’ for the needs of the farming community of Meghalaya. There is need of proper dissemination of market intelligence and information through all possible means of communication for improving the marketing efficiency. There is a need to revitalise of APMCs and develop a system of market information utilising the modern information communication techniques so that market information reaches timely to the end users in the hilly regions of Meghalaya.

MID-Based Instant Transmission of Radiological Images for Emergency Teleconsultation

Since the medical environment becomes more complicated nowadays, an efficient teleconsultation plays an important role for surgical emergency and medical decision making. The advances in the information communication technique during the past decade have already made the remote consulting feasible. The remote consulting must provide rapid response time, high quality radiological images and flexible cooperation platform. Based on the mobile internet device (MID) and computer-supported cooperative work (CSCW) platform, we propose an effective teleconsultation system to improve the medical quality of service. The internet virtual community concept is also adopted to provide a convenient and rapid connection manner. The results demonstrate that it fulfills the requirements of remote consultation system.

창의성 신장을 위한 초등컴퓨터 재량 활동 교재 개발 -5, 6학년을 중심으로-

현재 초등학교에서는 각 학년에 재량활동 시간을 활용하여 매주 1시간씩 34시간이상을 정보통신기술교육 시간으로 배정하고 있다. 그러나 시대의 변화에 발맞추어 요구되고 있는 창의성과 문제해결력을 키워줄 수 있는 컴퓨터 교재가 개발되어 있지 않아서 시대에 맞는 정보통신기술교육을 하고 있지 못하다. 그리하여 교육인적자원부가 발표한 정보통신기술교육 운영지침을 분석하여 창의성과 문제해결력을 증진시킬 수 있고 현장에서 쓰일 수 있는 5,6학년용 교재를 개발하였다. Recently, elementary schools has assigned students information communication technology class for 1 hour in every week, all more than 34 hours a year during the discretion activity classes in every grades. However, the guidelines for information communication technology class is only suggested, but the teaching materials that can be used in the information communication technology class are not various. We did an analysis of a guide to information communication technique education that the Ministry of Education and Human Resources Development announced. And then, We developed the materials which can improve fifth and sixth grade children's creativity. We tried to find out how this materials affect their creativity.