Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

Intelligent electronic devices(IEDs)are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control instructions.In the context of the heightened security challenges within smart grids,IEDs pose significant risks due to inherent hardware and software vulner-abilities,as well as the openness and vulnerability of communication protocols.Smart grid security,distinct from traditional internet security,mainly relies on monitoring network security events at the platform layer,lacking an effective assessment mechanism for IEDs.Hence,we incorporate considerations for both cyber-attacks and physical faults,presenting security assessment indicators and methods specifically tailored for IEDs.Initially,we outline the security monitoring technology for IEDs,considering the necessary data sources for their security assessment.Subsequently,we classify IEDs and establish a comprehensive security monitoring index system,incorporating factors such as running states,network traffic,and abnormal behaviors.This index system contains 18 indicators in 3 categories.Additionally,we elucidate quantitative methods for various indicators and propose a hybrid security assessment method known as GRCW-hybrid,combining grey relational analysis(GRA),analytic hierarchy process(AHP),and entropy weight method(EWM).According to the proposed assessment method,the security risk level of IEDs can be graded into 6 levels,namely 0,1,2,3,4,and 5.The higher the level,the greater the security risk.Finally,we assess and simulate 15 scenarios in 3 categories,which are based on monitoring indicators and real-world situations encountered by IEDs.The results show that calculated security risk level based on the proposed assessment method are consistent with actual simulation.Thus,the reasonableness and effectiveness of the proposed index system and assessment method are validated.

Application of Electronic Information Engineering in Hospital Management

To further enhance the overall service quality of China’s hospitals and improve the trust of the majority of patients in hospitals,this paper takes intelligent hospital management as the object of study,analyzes the importance of electronic information engineering technology applied in hospital management,and discusses the specific application methods of electronic information engineering in hospital management.This aims the existing problems in the current hospital management,such as insufficient degree of informatization,data sharing difficulties,lack of professionals,etc.Corresponding improvement measures are proposed,including strengthening the construction of informatization,promoting data sharing,and cultivating professionals.It is hoped that this study will enable the majority of hospital managers to make better use of electronic information engineering technology to effectively solve the current problems faced by hospitals and to continuously improve the comprehensive competitiveness of China’s hospitals.

Research on the Development Trend of Electronic Communication Technology Based on Intelligent Network

With the rapid development of electronic communication technology,various new technical elements are constantly added to it,bringing many changes to people’s lives and work.The traditional data diversion mode can no longer truly meet the needs of actual work,and the electronic communication mode plays a huge role and occupies an important position in the communication market.Regarding how to develop and apply intelligent electronic communication technology more perfectly,there will be an overview of the specific principle of intelligent electronic communication technology,from the multi-faceted impact of electronic communication technology on human society.The article put forward the future development trend of electronic communication technology based on intelligent networks,emphasized expanding the scale of technology coverage,improved the comprehensive quality of technical products,optimized the structure of the communication industry,and formed a perfect industrial chain,so as to improve the intelligent level of electronic communication technology.

Application of EDA Technology in Intelligent Communication Electronic Circuit

Electronic design automation(EDA)technology is the product of the computer age and finds its foundation in CAD,CAM,CAT,and CAE.EDA is a kind of auxiliary tool in the design process,which requires the designer to carry out the file design work using hardware language as the foundation.Subsequently,the computer system automatically compiles and integrates the file to achieve simulation goals,and can complete the programming download of the target chip.At present,this technology is widely used in the communication of electronic circuits.This paper summarizes EDA technology and analyzes its specific application in communication electronic circuits,aiming at promoting the application of CDA technology and promoting the further development of the communication field.

Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies

I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM.

Information Technology in Domain of Electronic Intelligence and Cyberterrorism Combat

Terms of intelligence in 20th and 21th century mean the methods of automatic extraction, analysis, interpretation and use of information. Thus, the intelligence services in the future created an electronic database in which to their being classified intelligence products, users could choose between the latter themselves relevant information. The EU （European Union） that activities are carried out from at least in year 1996, terrorist attacks in year 200l is only accelerating. Proposals to increase surveillance and international cooperation in this field have been drawn up before September 11 2011. On the Web you can fmd a list of networks （Cryptome, 2011）, which could be connected, or are under the control of the security service--NSA （National Security Agency）. United States of America in year 1994 enacted a law for telephone communication--Digital Telephony Act, which would require manufacturers of telecommunications equipment, leaving some security holes for control. In addition, we monitor the Internet and large corporations. The example of the United States of America in this action reveals the organization for electronic freedoms against a telecom company that the NSA illegally gains access to data on information technology users and Internet telephony.

Call for Papers Journal of Electronic Science and Technology Announcing a Special Issue on Artificial Intelligence with Rough Sets

Submission Deadline： 10 December 2010Since the introduction of rough sets in 1982 by Professor Zdzislaw Pawlak, we have witnessed great advances in both theory and applications. In order to promote development of rough sets, we are preparing a special issue on ＂Artificial Intelligence with Rough Sets＂ published by JEST （International）, Journal of Electronic Science and Technology, which is a refereed international journal focusing on IT area. The aim of this special issue is to present the current state of the research in this area, oriented towards both theoretical and applications aspects of rough sets.

Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records

Obesity is a critical health condition that severely affects an individual’s quality of life andwell-being.The occurrence of obesity is strongly associated with extreme health conditions,such as cardiac diseases,diabetes,hypertension,and some types of cancer.Therefore,it is vital to avoid obesity and or reverse its occurrence.Incorporating healthy food habits and an active lifestyle can help to prevent obesity.In this regard,artificial intelligence(AI)can play an important role in estimating health conditions and detecting obesity and its types.This study aims to see obesity levels in adults by implementing AIenabled machine learning on a real-life dataset.This dataset is in the form of electronic health records(EHR)containing data on several aspects of daily living,such as dietary habits,physical conditions,and lifestyle variables for various participants with different health conditions(underweight,normal,overweight,and obesity type I,II and III),expressed in terms of a variety of features or parameters,such as physical condition,food intake,lifestyle and mode of transportation.Three classifiers,i.e.,eXtreme gradient boosting classifier(XGB),support vector machine(SVM),and artificial neural network(ANN),are implemented to detect the status of several conditions,including obesity types.The findings indicate that the proposed XGB-based system outperforms the existing obesity level estimation methods,achieving overall performance rates of 98.5%and 99.6%in the scenarios explored.

The Implementation of Electronic Intelligent Tag System Based on Wireless Sensor Network

Recently, Wireless Sensor Network (WSN) has been widely applied in many fields. In this paper, we design and implement a WSN-based Electronic Intelligent Tag System (EITS) to provide intelligent management of the modern supermarkets. As a main transceiver, nRF24L01+ wireless module is used in this system, which will make it possible to achieve low-power and low-cost for EITS. This system fully embodies the advantages and characteristics of WSN. This paper will introduce the system architecture, hardware structure and software design in details;and put forward a specific solution. Finally, we achieve the intelligent management of the mall based on wireless sensor network technology.

The Design and Construction of an Intelligent Taxi Electronic Payment System Solution

Today the usage of electronic services in different taxies seems to be necessary. Organizing a system to pay the taxi electronically with the card by the passenger can decrease the need to carry cash. Designing and building of such a system by using a special taximeter with new features and also one or more card reader can be fixed into the taxi. Payment is with the smart credit card and from the client's account. The information of presented services is stored in the system and will be recorded as offered services. The driver can have access to taxi organization or some special terminals electronically to see his account and also he can receive a receipt.

Application Strategy of Intelligent Technology in Electronic Engineering Automation Control

This paper proposes the application strategy of the intelligent technology in electronic engineering automation control. Artificial intelligence technology is about to realize the calculation of perception, reasoning and behavior study of it is different from most of the psychology, because it is more of an emphasis on the calculation, the artificial intelligence is also different from most of the computer science as because it is more of an emphasis on the perception, reasoning, and behavior, and future applications of artificial intelligence is beyond imagination. Regarding the multi-agent system target identification data fusion, the goal type is a proposition, each intelligent body gives through processing regarding the goal type judgment result is evidence, we discussed in detail of the essential applications on the item that will promote the further development.

Exploration and Practice of "One Three One" Talent Training Mode Focuses on the Intelligent Hardware Industry of Electronic Information Science and Technology Major

China's intelligent hardware industry is gradually mature,the upstream and downstream resources of the industrial chain are increasingly rich,and the software and hardware system is gradually improved,forming a complete industrial chain of producing,supplying and selling intelligent hardware.The smart hardware market consists of six segmented areas,such as intelligent medical and health equipment,intelligent vehicle-mounted equipment,intelligent service robot,and intelligent industry,which has become the intersection of information technology and traditional industries.Intelligent hardware engineering and technical personnel are the important support for Chongqing to implement the"innovation-driven development strategy action plan led by big data intelligence".Taking Electronic Information Science and Technology Major of Chongqing University of Arts and Sciences as an example to focus on intelligent hardware industry"One Three One"talent training mode,namely,institute of intelligent hardware platform construction,teaching staff,teaching resources construction and practical conditions,intelligent hardware training mode to explore and practice,for the similar construction and reform of colleges and universities related to provide reference and reference.

Smart gas sensor arrays powered by artificial intelligence

Mobile robots behaving as humans should possess multifunctional flexible sensing systems including vision,hearing,touch,smell,and taste.A gas sensor array(GSA),also known as electronic nose,is a possible solution for a robotic olfactory system that can detect and discriminate a wide variety of gas molecules.Artificial intelligence(AI)applied to an electronic nose involves a diverse set of machine learning algorithms which can generate a smell print by analyzing the signal pattern from the GSA.A combination of GSA and AI algorithms can empower intelligent robots with great capabilities in many areas such as environmental monitoring,gas leakage detection,food and beverage production and storage,and especially disease diagnosis through detection of different types and concentrations of target gases with the advantages of portability,low-powerconsumption and ease-of-operation.It is exciting to envisage robots equipped with a"nose"acting as family doctor who will guard every family member's health and keep their home safe.In this review,we give a summary of the state-of the-art research progress in the fabrication techniques for GSAs and typical algorithms employed in artificial olfactory systems,exploring their potential applications in disease diagnosis,environmental monitoring,and explosive detection.We also discuss the key limitations of gas sensor units and their possible solutions.Finally,we present the outlook of GSAs over the horizon of smart homes and cities.

An Intelligent Design of Electron Lens System

At present, the main work of electron optical system CAD is solving equations and calculating mumerical values. However, the design perhaps needs more inference and expertise than numerical calculations because the structure of electron lens system is complicated. In this paper, a primary expert system is applied to design the electron lens system intelligently. This expert system is combined with SEU-3D program which is used to simulate the electron optical system to optimize the electron lens systems. In spite of this, the expert system which is established in this paper can also be used to diagnose the electron lens system. Although the knowledge base is small and rules are not abundant, this paper has used this system to obtain some very useful results. The initial success with this system suggests that further work need to be done whether more rules and knowledge will be added to extend the ability of expert system.

Power Transformer Intelligence Monitor System

An auto-monitoring system has been created that could monitor the main parameter of power transformers. It reads data of V&I by precision rectifier circuit and amplifier, and converted electric energy into pulse signal by means of sensor technique and pulse converter circuit, it is sent into microcomputer to process, completed monitoring to power transformer parameters and running state by software system. It can register all kinds of key data, and provide all kinds of virtual technical data for managing sections and can auto-form all kinds of electric annual reports and monthly reports analysis graphs such as managing graphs. It notably improves the safety and reliability of transformer, with strong anti-jamming technique and unique function, it can be used on the transformers in railway’s self-closing lines and all kinds of transformer stations.

Thoughts on the Emergency Guarantee of Library Electronic Resources in the Post-Pandemic Era

In the post-pandemic era,libraries need to improve the emergency support of electronic resources and establish a relatively perfect electronic resource support system in order to adapt to the construction goal of the national emergency system as well as realize their own transformation and development.It must be realized through enhancing awareness and planning,strengthening policy support and top-level design,realizing rapid response and intelligent response,improving technical support,promoting resource synergy,integration,and sharing,strengthening community integration,as well as providing intelligent management and services.

食品智能感知技术的发展与前沿探索

智能感知技术是一种利用传感器模拟人类感觉器官捕捉样品各种感官属性信息,再结合智能识别算法信号处理,实现食品等样品品质拟人化综合评价的前沿仿生技术。智能感知技术作为传统感官评价技术的现代化延伸和补充,具有检测速度快,样品无需前处理,操作简便,实时在线分析等技术特性,是深度感知食品感官品质的强有力的工具。本文综述食品领域中几种主要的智能感知技术,如模拟味觉的电子舌技术,模拟嗅觉的电子鼻技术,模拟触觉的质构分析仪和仿生视觉系统的电子眼等。另外,文章还归纳总结了智能感知技术在食品品质评价方面的应用研究进展,展望智能感知技术在静态感官、动态感官和情绪感知表征等方面的技术发展可能性。随着生物学、材料学、计算机科学等交叉学科的快速发展,智能感知技术有望从样品整体感官特性的区分、识别应用,提升至食品嗜好和情绪的检测表征,为食品产业的发展提供新的动力。

电化教育、在线教育和智能教育:国际语言传播机构的数字化转型

近30年以来,国际语言传播机构的教育模式经历了两次数字化转型:从传统的电化教育到远程在线教育,再到当下的智能教育。智能教育是智慧教育的核心组成部分,涉及大数据、云计算、虚拟现实、增强现实等技术的深度融合,不仅为语言学习者提供了基于数据驱动的个性化、沉浸式学习体验,也为机构提供了智能教育辅助平台。特别是生成式人工智能以多种方式增强学习体验并协助智能化教学管理,在语言教学领域拥有巨大的潜力和应用前景。数字化转型不仅是技术的进步,也是教育理念的升级。为实现更智能的教育服务,国际语言传播机构需利用智能技术更新教学内容和方法,实现教育资源的优化配置和教学管理的自动化,而数字中文建设为这一进程提供了关键的基础设施。

农用拖拉机动力系统智能化维修平台应用

通过对农用拖拉机动力系统故障识别和检修过程进行描述,基于CAN总线通讯的方式,进行拖拉机动力系统智能维修平台硬件结构搭建,并采用高性能中央处理器,实现智能维修平台的功能原理和硬件结构。应用结果表明:系统运行过程可靠,动力系统故障定位准确,能够有效提升维修人员对动力系统故障的定位和故障维修的能力。

欧洲汽车动力系统多元化的发展趋势和展望

当前,全球能源结构处在变革时期,低碳和零碳化是包括汽车行业在内的所有经济运行和规划活动中的重中之重。汽车动力系统的能源呈现多元化的发展趋势,始于轻型车的电动化已成为不可逆转的总体方向,而氢时代在到来之前面临各种技术和非技术类等诸多问题的挑战。电动化带来的一个更为广泛应用的新技术是人工智能(AI),从而使得汽车动力系统逐步突破传统设计方法的局限得以适应更加复杂的环境条件并获得高效率。该文介绍欧洲汽车动力系统电动化和多元化的发展趋势,针对欧盟正在考虑中的电力合成燃料等问题并结合动力系统智能化等发展趋势,对欧洲汽车技术领域在2035年前的研发动向作出相关思考以及展望。