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关键词： 区块链技术   高校计算机专业   教学资源集成   教学资源共享   资源存储  

摘要： 高校计算机专业教学资源共享时，版权保护技术薄弱，资源易被侵权，缺乏追踪限制机制，影响教师积极性。为解决此问题，文章提出基于区块链技术的集成共享方法：构建集成框架，用面向服务架构和Web Services技术连接整合各教学资源系统；设计基于区块链的安全存储与防篡改机制，利用去中心化特性、Merkle树结构和SHA-256哈希函数加密确保资源安全存储；量化资源相似程度，结合传输效率计算与传输函数实现资源共享。实验表明，该方法借区块链去中心化存储特性提升共享速度，提高资源共享效率。

关键词： Droughts   Machine learning   Asia   Deep learning   Indexes   Water resources   Remote sensing   Predictive models   Computer science   Climate change   Environmental monitoring   Economics   Drought modeling   drought prediction   machine learning   deep learning   South Asia  

摘要： Drought is an environmental and economic problem. Sustainable ecosystems, water resources, food security, and ecosystem sustainability. Machine all are severely affected by drought. Due to the increasing frequency and severity of droughts caused by climate change. Effective drought modeling is crucial for early warning systems and risk mitigation. Recent advances in machine learning (ML) and deep learning (DL) techniques have been developed as potential drought modeling tools, which offer accurate and reliable drought detection. This review paper summarizes the drought modeling(Drought Prediction, Drought Detection and Drought Forecasting) approaches. This paper focuses on three main aspect. 1) The selection of the region for this study, for this study South Asia(SA) is selected as region of interest (ROI) that offer accurate drought modeling, providing policymakers and decision-makers with insightful information. The geographical scope of this study is the region of South Asia. This region is selected because of its heavy reliance on agriculture. 2) This paper focuses on the current and future trends, challenges, and advances of and vulnerability to droughts. The review offers a thorough grasp of how drought conditions are evaluated by gathering and analyzing the most important drought indicators and metrics specific to South Asia. The paper explores the current state-of-the-art in ML and DL for drought modeling. 3) This review encapsulates the indicator and metrics (Complex Machine learning and deep learning models) for drought modeling which are most relevant to the SA region. This study sum up as most common challenges in drought modeling are, highlighting current challenges such as incomplete and inconsistent datasets, lack of explainable and interpretable models, and unavailability of data for model uncertainty analysis. This study proposes that these problems can be solved with modern machine learning techniques such as explainable machine learning and federa

关键词： Videos   Visualization   Semantics   Chatbots   Image recognition   Electronic mail   Refining   Computer science   Benchmark testing   Training   Egocentric Action Recognition   Zero-Shot Learning   Vision-Language Learning  

摘要： Vision-Language Models (VLMs), pre-trained on large-scale datasets, have shown impressive performance in various visual recognition tasks. This advancement paves the way for notable performance in some egocentric tasks, Zero-Shot Egocentric Action Recognition (ZS-EAR), entailing VLMs zero-shot to recognize actions from first-person videos enriched in more realistic human-environment interactions. Typically, VLMs handle ZS-EAR as a global video-text matching task, which often leads to suboptimal alignment of vision and linguistic knowledge. We propose a refined approach for ZS-EAR using VLMs, emphasizing fine-grained concept-description alignment that capitalizes on the rich semantic and contextual details in egocentric videos. In this work, we introduce a straightforward yet remarkably potent VLM framework, aka GPT4Ego, designed to enhance the fine-grained alignment of concept and description between vision and language. Specifically, we first propose a new Ego-oriented Text Prompting (EgoTP ) scheme, which effectively prompts action-related text-contextual semantics by evolving word-level class names to sentence-level contextual descriptions by ChatGPT with well-designed chain-of-thought textual prompts. Moreover, we design a new Ego-oriented Visual Parsing (EgoVP ) strategy that learns action-related vision-contextual semantics by refining global-level images to part-level contextual concepts with the help of SAM. Extensive experiments demonstrate GPT4Ego significantly outperforms existing VLMs on three large-scale egocentric video benchmarks, i.e., EPIC-KITCHENS-100 (33.2% up arrow (+9.4) ), EGTEA (39.6% up arrow (+5.5) ), and CharadesEgo (31.5% up arrow (+2.6) ). In addition, benefiting from the novel mechanism of fine-grained concept and description alignment, GPT4Ego can sustainably evolve with the advancement of ever-growing pre-trained foundational models. We hope this work can encourage the egocentric community to build more investigation into pre-trained v

关键词： Urban areas   Routing   Benchmark testing   Metaheuristics   Genetic algorithms   Vehicle routing   Surface waves   Standards   Heuristic algorithms   Computer science   Travelling salesperson problem (TSP)   vehicle routing problem (VRP)   nature inspired algorithms   transverse waves  

摘要： This study introduces the Transverse Waves Algorithm (TWA), a novel heuristic approach devised to address the Travelling Salesperson Problem (TSP) within a unique instance. Inspired by natural phenomena where energy disperses in waves from a central point and interacts with its environment, TWA is designed for areas structured in concentric circles and segmented into equal parts. The algorithm mimics wave behaviors, when disrupted by obstacles and reflected by surfaces, to optimize routing. It systematically calculates routes initiating from a central hub, extending along each circle's circumference, visiting each location once, and progressing through strategically chosen adjacent points to minimize the total traveled distance. Experimental results indicate that TWA significantly enhances route optimization, outperforming traditional methods in specific instances. The findings underscore TWA's potential contributions to the field of logistics and operational research.

关键词： Electronic commerce   Consumer behavior   Organisms   Technological innovation   Systematic literature review   Psychology   Mathematical models   Computer science   Transforms   Stakeholders   e-commerce   cognitive   affective   SOR theory   Indonesia  

摘要： Technology advancement has given rise to a new online purchasing paradigm known as e-commerce. Online shopping in e-commerce platform has altered consumer behavior and purchasing decisions. However, a few studies have conducted by considering cognitive-affective process in making purchase decision on e-commerce. Therefore, the current study examines consumer behavior from perspective of stimulus-organism-response theory and the internal perception process (cognitive and affective) to understand consumer's purchase decisions. We use Structural Equation Model-Partial Least Square technique to analyze the data of 308 consumers in Indonesia. Our findings report that two dimensions of the stimulus environment (credibility and product usefulness) significantly contributed to perceived trust;convenience has an insignificant impact on perceived trust and perceived value. In comparison, three dimensions of the stimulus environment (convenience, informativeness, and product price) contribute to consumers' perceived trust. Furthermore, the stimulus environment indicators (credibility, informativeness, product price, and product usefulness) effect on perceived value, while convenience has an insignificant on consumers' perceived value. The internal perception process or cognitive and affective process, perceived trust has an insignificant impact on perceived pleasure, while perceived value has a significant impact on perceived pleasure. Lastly, perceived pleasure significantly influences consumer purchase decisions in online shopping and e-commerce. The findings of this study can expand the research on e-commerce how consumer's consider their cognitive and affective factor on product purchase decision. The study suggests that the optimize the features and products as way to improve the consumer purchase decision, and it affects toward cognitive and affective components such as perceive trust, value, and pleasure. This study has contributed both theoretically and practically to

ISBN: (纸本)9780472077182;9780472904808

摘要： Starting in 1966, African American activist Stokely Carmichael and other political leaders adopted the phrase "Black Power!" The slogan captured a mil...

关键词： 地方院校   计算机类专业课程   课程思政   教学方法  

摘要： 围绕地方院校计算机类专业课程中课程思政资源匮乏及创新不足的问题，以计算机类课程思政的根本目标为总体导向，从拟定人才培养方案为顶层设计，在实践教学详细设计中通过对思政元素的深入挖掘，从而对课程思政资源进行整合，以四维实践模式探索进行设计教育教学这一主线，最后由线及面完成整体设计，达到课程目标重构，从而形成一个思政体。经过教学案例的数量积累和思政元素的不断沉淀，为计算机类专业课程教学思政提供一些思考和探索。

关键词： Remote sensing   Superresolution   Image enhancement   Spatial resolution   Image quality   Image color analysis   Computer science   Accuracy   Colored noise   Classification algorithms   Image classification   image enhancement   image processing   image recognition   remote sensing  

摘要： Oceans and seas cover more than 70% of the Earth's surface. If compared with the land mass there are a lot of unexplored locations, a wealth of natural resources, and diverse ocean creatures that are inaccessible to us humans. Underwater rovers and vehicles play a vital role in discovering these resources, yet limited visibility in deep waters and technological constraints impede underwater exploration. To address these issues, advanced image super-resolution and enhancement techniques are crucial for reliable resource identification, species recognition, and underwater ecosystem study. This will ultimately bridge the current gap in environmental monitoring by facilitating resource tracking and underwater waste assessment. This article proposes a novel multistage fusion algorithm for underwater image super-resolution, designed to enhance the quality and spatial resolution of low-resolution underwater images toward a more accurate object characterization. The effectiveness of the proposed super-resolution technique is demonstrated using multiple performance metrics including accuracy, f1-score, recall, and precision. By enhancing the spatial resolution of underwater images, our approach meets the increasing demand for detailed and accurate information in underwater earth observation applications.

关键词： AI ethics   artificial intelligence   assistive technology   cognitive disability   cognitive disorder   cognitive partner   computer science   digital health   disability study   empowerment   GenAI   generative artificial intelligence   health informatics   machine learning   mental health   neuroinformatics   neuroscience   neurotechnology   social inclusion   social mirror   social participation   societal barriers   user involvement  

摘要： Background: The emergence of generative artificial intelligence (GenAI) presents unprecedented opportunities to redefine conceptions of personhood and cognitive disability, potentially enhancing the inclusion and participation of individuals with cognitive disabilities in society. Objective: We aim to explore the transformative potential of GenAI in reshaping perceptions of cognitive disability, dismantling societal barriers, and promoting social participation for individuals with cognitive disabilities. Methods: This study is a critical review of current literature in disability studies, artificial intelligence (AI) ethics, and computer science, integrating insights from disability theories and the philosophy of technology. The analysis focused on 2 key aspects: GenAI as a social mirror reflecting societal values and biases, and GenAI as a cognitive partner for individuals with cognitive disabilities. Results: This paper proposes a theoretical framework for understanding the impact of GenAI on perceptions of cognitive disability. It introduces the concepts of GenAI as a “social mirror” that reflects and potentially amplifies societal biases and as a “cognitive copilot” providing personalized assistance in daily tasks, social interactions, and environmental navigation. This paper also presents a novel protocol for developing AI systems tailored to the needs of individuals with cognitive disabilities, emphasizing user involvement, ethical considerations, and the need to address both the opportunities and challenges posed by GenAI. Conclusions: Although GenAI has great potential for promoting the inclusion and empowerment of individuals with cognitive disabilities, realizing this potential requires a change in societal attitudes and development practices. This paper calls for interdisciplinary collaboration and close partnership with the disability community in the development and implementation of GenAI technologies. Realizing the potential of GenAI for promoting the