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.

Constructing an assessment index system for strategic risk management in coal science and technology enterprises

Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper analyzes the sources of strategic risk for coal science and technology enterprises using 3 first-class indicators, 10 second-level indicators, and 37 observation points established through the existing research literature and experience. Moreover, in accordance to the obtained initial index data, the selected indicators have been tested and screened using reliability and membership degree analyses to remove redundant variables, avoid juxtaposition of risk factors at different levels, and reduce the influ- ence of some tiny risk factors for enterprise strategic risk. Then, factor analysis of external environment factor sub-scale was carried out. Factors are extracted according to a standard characteristic value greater than 1. Variables with high coefficients are classified into one factor category; and finally, 3 first-class indicators. 8 second-level indicators, and 37 observation noints are reconstructed.

Strategic information perception methods and practices in the open source intelligence

Open source intelligence is one of the most important public data sources for strategic information analysis. One of the primary and core issues of strategic information research is information perception,so this paper mainly expounds the perception method for strategic information perception in the open source intelligence environment as well as the framework and basic process of information perception. This paper argues that in order to match the information perception result with the information depiction result,it conducts practical exploration for the results of information acquisition,perception,depiction and analysis. This paper introduces and develops a monitoring platform for information perception. The results show that the method proposed in this paper is feasible.

Research and Analysis of Machine Learning Algorithm in Artificial Intelligence

This article firstly explains the concepts of artificial intelligence and algorithm separately,then determines the research status of artificial intelligence and machine learning in the background of the increasing popularity of artificial intelligence,and finally briefly describes the machine learning algorithm in the field of artificial intelligence,as well as puts forward appropriate development prospects,in order to provide theoretical reference for industry insider.

The Effects of Business Intelligence on Strategic Management of Enterprises

Discipline of informatics must contain one of the significant issues that need to develop for especially processing systems of large-scale enterprises. At this point, a well-designed business intelligence （BI） system, which includes a structure of regular business activities and analyses within whole an enterprise, requires to manage stored data and transform the data into information as an output and forecasting targets and provide sustainable growth for an enterprise or an organization. Information systems （IS） support to constitute these processes by using the information technologies （IT） that cause to capture data which will be transformed into information and integrate whole subsystems that need to develop for all departments of the enterprise. BI tools organize all parts of these business analysis and processes and effect on the top management level of enterprises or organizations. Decision makers at the top-level of management must use these information and knowledge to orient future decisions for the enterprise that includes investments, company policies, precautions for the future negations, etc. This study shows that the BI is not only an IS, but also reinforcement for strategic decisions of the enterprises and/or organizations.

Thoughts on the Development of Bridge Technology in China

In the history of bridge engineering, demand has always been the primary driving force for development. Driven by the huge demand for construction since China’s reform and opening-up, Chinese bridge has leapt forward both quantitatively and qualitatively in three major stages, by completing the transition from “follower” to “competitor,” and nally to “leader.” A new future is emerging for Chinese bridge engi- neering. As an important part of China’s transportation infrastructure, the bridge engineering industry is facing challenges in this new era on how to support the construction of a new form of transportation. This paper provides a summary of the status of bridge technology in China, based on a basic analysis of stock demand, incremental demand, and management demand. It is our belief that the Chinese bridge engi- neering industry must ful ll three outstanding requirements: construction ef ciency, management effec- tiveness, and long-term service. Intelligent technology based on information technology provides a new opportunity for innovation in bridge engineering. As a result, the development path of bridge engineering needs to be changed. This paper puts forward the idea of developing a third-generation bridge project that is characterized by intelligence, and discusses this project’s implications, development focus, and plan. In this way, this work provides a direction for the improvement of the core competitiveness of China’s bridge engineering industry.

Internet of things:Conceptual network structure,main challenges and future directions

Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart cities.In this study,we investigate the existing strategic themes,thematic evolution structure,key challenges,and potential research opportunities associated with the IoT.For this study,we conduct a Bibliometric Performance and Network Analysis(BPNA),supplemented by an exhaustive Systematic Literature Review(SLR).Specifically,in BPNA,the software SciMAT is used to analyze 14,385 documents and 30,381 keywords in the Web of Science(WoS)database,which was released between 2002 and 2019.The results reveal that 31 clusters are classified according to their importance and development,and the conceptual structures of key clusters are presented,along with their performance analysis and the relationship with other subthemes.The thematic evolution structure describes the important cluster(s)over time.For the SLR,23 documents are analyzed.The SLR reveals key challenges and limitations associated with the IoT.We expect the results will form the basis of future research and guide decision-making in the IoT and other supporting industries.

A survey of data-centric technologies supporting decision-making before deploying military assets

In a time characterized by the availability of vast amounts of data,the effective utilization of information is critical for timely decision-making in military operations.However,processing large amounts of data requires computational resources and time.Therefore,decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations.This survey explores the integration and application of data-centric technologies,such as data analytics,data science,and machine learning,to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources.To address the information gap,this article presents a literature review,specifically a survey.Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness,and planning in military environments.We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios.Furthermore,we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes,and reveal the importance of specialized personnel,architectures,and cybersecurity issues in the task of developing prototypes and models.The findings of this paper aim to provide valuable insights for military institutions,offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.

人工智能视域下的新质生产力生成路径

随着人类从信息时代进入数字时代,以科技创新为关键核心的新质生产力正在与人工智能形成“互嵌”。基于高深知识生产、技术元素整合以及产业技术突破,人工智能在新质生产力的劳动者层面催生智能生产力,在劳动资料层面提供高效数字化的劳动工具,在劳动对象层面促发以产业生态化为特征的新型生产体系。以人工智能加快推动新质生产力发展,需要从四个方面着力:一是形成政产学研一体的人工智能人才生态;二是建立协同开放的人工智能科技创新生态;三是培育协调互嵌的人工智能产业生态;四是构建规范高效的人工智能治理制度生态。

Boosting China's National Strength in Strategic Science and Technology by Taking Advantage of the New System for Mobilizing Resources Nationwide

To take advantage of the new system for mobilizing resources nationwide to boost China's national strength in strategic science and technology,it is essential to strengthen the leadership by the Communist Party of China(CPC)and to guide the development of China's strength in strategic science and technology in line with the Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era.For this purpose,high-level platforms for innovation should be built quickly,and refined through the introduction of major national projects.Furthermore,institutional frameworkssshould be continuously innovated,while open and inclusive development should be continued.

人工智能文生视频大模型Sora对科技伦理的冲击及应对

Sora的推出是人类社会发展和人工智能进步的标志性事件,凸显出生成式人工智能的强大功能。Sora的爆火离不开规模化数据、先进算法和规模化算力,其内在运行机制紧扣文本输入、文本编码、视频生成和视频输出的基本逻辑,在人类社会具有广阔应用前景。但Sora在技术更迭和运用过程中可能给科技伦理带来诸如冲击人的主体性地位、导致人们认知的混乱性、冲击伦理规则的适用性、冲击数字隐私伦理并造成数字歧视等风险。因此,要坚持以人为本,运用技术手段增强Sora的数据筛选力度和敏捷治理效度,防止数据泄露和侵犯隐私,进行伦理设计实现科技伦理与时俱进,辅之必要的教育培训,以此提升全民运用人工智能技术的能力。

基于Android的出租车智能管理系统的研究与设计

现代社会发展出租车智能管理系统能有效缓解有限的交通资源与日益增加的市民出行需求的矛盾。针对现有出租车打车软件存在的各种问题,本系统将电召软件与计价器、智能顶灯、监控终端、空车牌等硬件设备有机地结合在一起,以电召司机端软件作为重点,实现了普通运营、同一地点合乘、不同地点合乘等运营流程和订单记录查看、电子围栏设置等其他功能,达到了"界面简洁友好"、"操作简单直观"、"功能完整齐全"的要求。经过专业测试人员系统测试,本系统能准确方便地实现用户的需求,数据采集、统计准确率达到98%及以上,车辆数据上传到后台服务器及时准确。已经在广州市白云区试运营,并取得了良好的效果。

人工智能驱动新质生产力形成的生成逻辑、运行机制与实践进路

新质生产力作为生产力发展的质变形态,体现了人工智能、大数据、云计算等新一代信息技术对传统生产方式和生产关系的根本性变革。人工智能对生产力的质性重塑集中体现在劳动者、劳动资料和劳动对象三大生产力要素上,即强化劳动者的劳动能力,引领劳动资料智能化与数字化革新,拓展劳动对象的范围和边界。作为新一轮产业变革的核心驱动力,人工智能从微观、中观、宏观三个层面促进新质生产力的形成。在企业微观层面,人工智能通过劳动要素替代效应推动劳动力需求向高技能的“脑力化”转换、人机交互模式的生产协同性赋能企业智能制造水平的高效能跃升、自动化生产的智能运转促进资源配置效率优化等路径实现企业生产要素配置的智能化形塑;在产业中观层面,人工智能促进传统产业数实深度融合、赋能数字化战略性新兴产业实现乘数增长、规模化应用重构智能产业链和创新链等途径促进产业转型升级,实现产业结构的智能化进阶;在国家宏观层面,人工智能技术的加速发展与应用赋能国家治理体系建设,推动社会治理精准化、政府决策科学化、公共服务高效化,形成了一种与新质生产力相适应的新型生产关系,实现国家治理的智能化转型。在生成式人工智能技术进化加速的新形势下,我国应进一步加快推动人工智能驱动新质生产力形成。一是坚持科技自主创新,以人工智能优化生产要素。健全人工智能人才培养机制,培育高技能水平的新型劳动者;提升人工智能场景创新能力,促进科技创新成果广泛应用;加快人工智能关键技术攻关,充分激活数据要素乘数效应潜能。二是加速推进产业数实深度融合,以人工智能大力推进现代化产业体系建设。推动传统产业智能化改造,实现基础设施连接能力迭代;培育壮大战略性新兴产业,构建人工智能的产业生态圈;探索先行先试改革,前瞻布局未来产业。三是建立健全人工智能治理体系,助力国家创新体系建设提质增效。以数字政府建设驱动国家治理的智能化转型;以智能赋能推动市场经济体系提质增效;以智能化发展提升国家创新体系效能。

Technology is the best footnote to change life

In recent years,industrial textile industry undertakes the task for the growth of textile industry well,so it not only becomes one of important directions and main ways for the transformation and upgrade,and structural adjustment of textile industry,but also turns into the part of national strategic emerging industries and diversified high-tech industry across various fields.

美国军事战略的人工智能化趋势及其影响

近年来,在新一轮科技革命影响下,美国对其军事战略进行了人工智能化调整,试图沿袭技术制胜的军事思想传统,围绕在大国战略竞争中取胜这一目标,以新兴技术推进军事能力建设,打造一体化协同作战部队和军事情报系统,塑造针对特定目标进行精准打击的能力。为此,美国发布了一系列战略文件和具体方案推动人工智能的军事化应用。美国国防部建立了以人工智能为核心的组织架构和管理系统,重点发展人工智能人才队伍,加大新技术研发的军费投入,推动军民产业和技术融合,加强与盟友的技术合作。美国军事战略的人工智能化调整会刺激其他国家进行相应变革,进而加剧以人工智能竞争为焦点的大国战略竞争。人工智能技术难以溯源和易于扩散的特点将削弱核威慑的效用,其广泛军事化应用将催生新的战争形态。基于此,中国应密切关注新技术革命的发展趋势和美国军事战略变化的动向,做好应对准备。

伦理先行:生成式人工智能的治理策略

生成式人工智能的迅猛发展为数字经济发展提供新动力,为社会民生创造新福祉,同时也引发了一系列现实挑战。中国现行立法已为生成式人工智能的发展划定了基本的安全保障底线,但该技术的发展方向和产业发展均处在高度不确定性当中,部分安全风险可能是被制造的焦虑,以国家立法形式进行规制为时尚早。生成式人工智能的治理需要伦理先行,坚持激励相容精神,为人工智能新技术新应用创新留下充分空间,以伦理治理的方式推动技术社区、产业群体、社会组织、社会公众、治理机构共同进行探索磨合,凝聚共识,待实践经验充足、立法时机成熟时,再将共识性规范纳入法律框架之中。

一种基于知识树的科技前沿探测方法——以深度学习领域为例

[目的/意义]当前全球科技竞争愈加剧烈,准确把握未来科技前沿是科技竞争取得胜利的关键,科技前沿探测是科技情报研究的热点问题之一。[方法/过程]文章提出一种基于知识树的科技前沿探测方法,通过科技前沿知识树反映领域科技前沿的发展信息,探索解决科技前沿探测过程中存在的信息冗余、探测结果不准确等问题的方法和途径,并以深度学习领域为例进行了实证研究。[结果/结论]研究结果表明,基于知识树的科技前沿探测方法可以在一定程度上提高科技前沿探测过程的效率,改善科技前沿探测结果的质量,可以为面向特定领域的科技前沿研究提供参考。

中药工业智能制造转型模式及监管问题探讨

中药制药工业质量控制水平的提升需要以科技创新为引领,以先进制药工程技术为支撑。智能制造融合了先进制造技术与信息技术,已经成为提高制造业质量与效益的先进生产方式。本研究聚焦中药工业实施智能制造重大战略工程,根据中药产品质量及其制造流程的特点,结合中药制药工业面临的管控问题以及智能制造技术特征,提出中药产业发展智能制造的转型方向,核心包括由基于经验的控制向以数据为驱动力的控制转型、产品检验向过程管控转型、分散向集成转型,以及药品制造向药品全生命周期服务转型等领域的突破。总结近年来中药标杆性企业在智能制造技术研究方面取得的成果以及产业转化进展,讨论中药产业在智能制造转型过程中面临的监管问题,以期为中药工业实施智能制造项目的系统架构规划与技术路线设计提供参考。

数智技术时代的中国档案学学科发展

数智技术,直接导致我国千行百业的原始数据形成,其管理正发生前所未有的变化。为适应从人人相连走向万物智联的大数据安全管理,需要对我国高等教育相关学科专业进行系统研究。梳理数字技术对我国组织的业务活动及其原始记录形成和管理的作用影响之后,提出传统的“中国档案学”学科将演进为“档案大数据工程”学科。并且指出,档案大数据工程学科高等教育包括“管理文秘”“数据资源管理”“大数据技术”等专业,尝试提出以上几个专业建设的发展方向。

人工智能技术对高职计算机类专业教学的影响

以高等职业教育中的计算机类专业为例,从“教”与“学”两个层面,探讨了人工智能生成内容(AIGC)技术对提升专业教学效果,满足不同层次学生学习需求的作用;以软件技术、信息安全技术应用、云计算技术应用专业为例,阐述了如何有效整合AIGC技术到日常计算机教学活动中,以提升专业教学质量与成效;分析了当前AIGC技术在教学改革中可能出现的问题,并提出了相应建议,有助于专任教师科学合理使用AIGC技术,正向发挥新一代信息技术作用。