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关键词： Computer science   artificial intelligence  

ISBN: (数字)9781394242641 ISBN: (纸本)9781394242610

摘要： Get up to speed with how the latest knowledge management and industry 4.0 technologyhelp make enterprises secure, controlled, and optimized for a better future. This book focuses on how the practices of Industrial Revolution 4.0 and knowledge management interact to create value. In recent years, value chain relationships and related activities have utilized new

关键词： Energy   Climate change   Computer science  

摘要： As Microsoft strikes a deal to restart a reactor at the notorious power station,Naturetalks to nuclear specialists about the unprecedented process.

关键词： Machine learning   Mathematics and computing   Bioinformatics   Computer science  

摘要： The advent of LLMs has reopened a debate about the limits of machine intelligence - and requires new benchmarks of what reasoning consists of.

关键词： Machine learning   Scientific community   Computer science  

摘要： The chatbot excels at science, beating PhD scholars on a hard science test. But it might ‘hallucinate’ more than its predecessors.

关键词： Color   Information leakage   Petri nets   Explosions   Concurrent computing   Information systems   Analytical models   Space exploration   Semantics   Computer science   Chinese Wall (CW) policy   colored Petri net (CPN)   information leakage   unfolding techniques  

摘要： Information leakage easily occurs in large-scale information interactions and brings harm to individuals, enterprises, and society. As a well-known security policy, Chinese Wall (CW) provides a security guideline, which combines mandatory and discretionary access control to avoid information leakage. Colored Petri nets (CPNs) are a widely used formal method, well suited for verification of CW policy due to the capability of characterizing the concurrency. However, CPN easily suffers from the problem of state space explosion due to the interleaving semantics. The unfolding techniques can effectively alleviate this problem. In this article, we apply simplified CPN and their unfolding techniques to detect information leakage against CW policy. Specifically, we define a CPN-based CW model, propose an algorithm to generate the merged process of CPN, and detect the potential information leakage by analyzing the structural behaviors of its unfoldings. Furthermore, we conduct a case study and several experiments to show the advantages of our method. The results exhibit that our method can effectively detect information leakage against CW policy and alleviate the state space explosion.

关键词： Computer science   Quantum physics  

摘要： Quantum machines have a noise threshold past which classical machines cannot best them, researchers have learnt.

关键词： Crops   Image color analysis   Shape   Visualization   Quality assessment   Monitoring   Soil   Computer science   Three-dimensional displays   Pollution measurement  

摘要： This work presents a novel multimodal dataset to address maturity and quality assessment in Radish ( Raphanus sativus). The analyzed dataset includes 360 images taken from five samples of radish that were photographed at three points—morning, afternoon, and evening on 24 subsequent days. Since the imaging process was intended to capture the visual growth in the presence of natural light, it offered a temporal resolution to the dataset. Consistent photos were taken each time to track the changes in texture, shape, and color of each sample. Besides the image data, this dataset contains comprehensive quality assessment records, where each radish sample's texture, shape, color, and overall appearance were scored between 1 and 10. These ratings were done based on just observations and touch sensations in an attempt to quantify some of the physical characteristics of the radish as it grew to maturity. Specific data needs are documented in an Excel file that incorporates timestamps, sample I.D.s, and ratings for each parameter for easy reference and to facilitate examination. It creates a platform to examine the relationship between environmental conditions and radish growth phases to apply machine learning algorithms and computer vision to evaluate the maturity and qualities of agricultural crops. This dataset may be useful for increasing the forecast accuracy of precision farming and for a better understanding of the dynamics of radish development. IEEE SOCIETY/COUNCIL Computational Intelligence Society (CIS) DATA TYPE/LOCATION Images (.jpg); Malda, West Bengal, India DATA DOI/PID 10.17632/cwxdmk8zhz.1

关键词： Computer Science education   disparity index   diversity   equity   enrollments  

摘要： This study analyzed the longitudinal data of Indiana high school students' Computer Science (CS) enrollments from 2014 to 2020. The result showed while Indiana CS enrollments have increased in recent years, gaps in participation by minoritized student populations have still been observed. The CS enrollment rates in terms of different student populations including gender, ethnicities, locales, and economic status have been increasing, and the disparities according to these demographic profiles have been somewhat alleviated. However, the degrees of inequity varied by classification. Female underrepresentation was found to be largest followed by rural and town residents, then economically disadvantaged, and then ethnic minorities in CS education (Black, Hispanic, and Multiracial). These findings indicate where our future efforts should be concentrated.

关键词： Color computer graphics  

摘要： This paper reviews published research in the field of computer-aided colorization technology. We argue that the colorization task originates from computer graphics, prospers by introducing computer vision, and tends to the fusion of vision and graphics, so we put forward our taxonomy and organize the whole paper chronologically. We extend the existing reconstruction-based colorization evaluation techniques, considering that aesthetic assessment of colored images should be introduced to ensure that colorization satisfies human visual-related requirements and emotions more closely. We perform the colorization aesthetic assessment on seven representative unconditional colorization models and discuss the difference between our assessment and the existing reconstruction-based metrics. Finally, this paper identifies unresolved issues and proposes fruitful areas for future research and development. Access to the project associated with this survey can be obtained at https://***/DanielCho-HK/Colorization. Copyright © 2024, The Authors. All rights reserved.

关键词： 侯甬坚   环境破坏论   环境史   人民性   话语体系  

摘要： 20世纪80年代以来,学界对中国历史上以农业为主线的开发方式及其过程的评价多偏向负面,侯甬坚教授将其概括为“环境破坏论”,并对此观点展开了学术评议。侯甬坚教授对“环境破坏论”的反思及其提出“人类家园营造”的研究旨趣,是关于中国环境史研究的深刻思考,体现了跨学科知识体系和研究视角的创新与推进。他从人民的生存权和发展权出发,重新反思农业开发与环境之间关系的历史认识和评价标准。他提出要立足于中国农业文明的历史实践,精准把握人与自然关系史中“优化”的事例,构建具有中国特色的环境史认识和阐释的话语体系,在学术实践中不断深化对人与自然关系的认识,体现其学术研究对至真、至善、至美的追求。