Journal of Computing and Natural Science最新文献

Development and Evaluation of a Computer Vision System for Robot Navigation and Object Recognition in Real-World Environments 开发和评估用于真实世界环境中机器人导航和物体识别的计算机视觉系统

Journal of Computing and Natural Science Pub Date : 2024-04-05 DOI: 10.53759/181x/jcns202404007

Malene Helgo

{"title":"Development and Evaluation of a Computer Vision System for Robot Navigation and Object Recognition in Real-World Environments","authors":"Malene Helgo","doi":"10.53759/181x/jcns202404007","DOIUrl":"https://doi.org/10.53759/181x/jcns202404007","url":null,"abstract":"The article discusses the vision framework for computing that includes image recognition, classification, prioritization, and navigation control modules. In this framework, a user model is used to feed the robotic controllers, whose performance improves in dynamic virtual contexts. In contrast, the vision module uses a multi-level perceptual neural network capable of efficient image segmentation, object recognition, and color segmentation, using the control module Position-Based Vision Serving (PBVS) and actions such as Avoid Collision (), Go-Ahead (), and Follow( ). It controls the motion of the robot, so the system successfully tested and met the requirements of the Antimedia Robotics Pioneer I robot. In addition, it was consistent with real life. The results show the effectiveness of the system in providing effective guidance and avoiding obstacles. Furthermore, the study investigates the use of artificial neural networks for image recognition and classification. In addition, it requires the use of SpCoMapping to add language maps to useful information. In summary, studies have emphasized the potential of computer vision and neural networks to improve robotic communication and language learning.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"85 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140736228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ensuring Safety in Industrial Robots: Issues, Consequences and Solutions 确保工业机器人的安全：问题、后果和解决方案

Journal of Computing and Natural Science Pub Date : 2024-04-05 DOI: 10.53759/181x/jcns202404008

Francisco Pedro

{"title":"Ensuring Safety in Industrial Robots: Issues, Consequences and Solutions","authors":"Francisco Pedro","doi":"10.53759/181x/jcns202404008","DOIUrl":"https://doi.org/10.53759/181x/jcns202404008","url":null,"abstract":"In this paper, a discussion of the safety issues in robotics are provided, categorizing them into three major origins: unfavorable environmental factors; human errors, and technical deficiencies. Information related to robotic accidents was retrieved from the Ministry of Employment and Labor (MOEL) and Korea Occupational safety and Health Agency (KOSHA) in Korea. Accidents are classified into root and direct causes, and these causes are reviewed through the application of the Systematic Causal Analysis Technique (SCAT). This research continues to emphasize that the risks, such maintenance of people, and robotic operations, are the most susceptible during interactions with robots. The research explores the classification of accidents in robots, causes of injuries, and the necessity for personalized safety measures. In addition, it presents a discussion of the lack of assurance, safeguards, and confidentiality aspect in robotics, and the detrimental effect this has on enterprises. Lastly, the paper highlights the effects of industrial robot mishaps, such as human injuries and casualties, data privacy and breach apprehension, and effects of corporate brand. It explores the safety concerns and measures from legislation emphasizing the necessity of establishing a balance between security and efficiency.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"21 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140736983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancements and Applications of Quantum Computing in Robotics 量子计算在机器人学中的发展与应用

Journal of Computing and Natural Science Pub Date : 2024-04-05 DOI: 10.53759/181x/jcns202404006

A. Haldorai

引用次数: 0

Assessing Sustainability in Renewable Energy: Sources, Solutions and Metrics 评估可再生能源的可持续性：来源、解决方案和衡量标准

Journal of Computing and Natural Science Pub Date : 2024-04-05 DOI: 10.53759/181x/jcns202404010

Abdulhaq Abildtrup, Iben Charlotte Alminde

{"title":"Assessing Sustainability in Renewable Energy: Sources, Solutions and Metrics","authors":"Abdulhaq Abildtrup, Iben Charlotte Alminde","doi":"10.53759/181x/jcns202404010","DOIUrl":"https://doi.org/10.53759/181x/jcns202404010","url":null,"abstract":"Renewable energy sources are obtained naturally and have the capacity to surpass normal amounts of energy presently being used. These sources include solar, hydropower, wind, and biomass. The costs of generating electricity vary depending on the technology being applied; with wind energy having the lowest costs and photovoltaics being known to have the highest. Different techniques of renewable energy are faced by particular challenges, such as obstacles during the process of storing energy, and intermittent nature of energy production. Evaluating the sustainable aspect of renewable energy sources necessitates considering factors such as water usage, land usage, and social impacts. Wind energy is typically known as the most sustainable source of energy, with geothermal and hydropower energy being second. This article reviews the capabilities of renewable energy sources, and their significance in achieving sustainable development. It reviews the relevance of technological progress in rendering renewable energy sources cost effective and economically viable. The sources of energy discussed in this article include biomass, solar, wind, and hydropower; discussing their varying dimensions of competitiveness and progress made. In addition, this article contributes to the knowledge of parameters employed in assessing sustainability, including environmental and financial implications connected to different sources of energy. The contributions suggests that the most sustainable energy source is the wind power, followed by geothermal and hydropower. However, it notes that geographical variations may impact the rankings.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"1 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140737588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Potentials and Challenges of Renewable Energy Sources 探索可再生能源的潜力和挑战

Journal of Computing and Natural Science Pub Date : 2024-04-05 DOI: 10.53759/181x/jcns202404009

Laura Schaefer, A. Atreya

{"title":"Exploring the Potentials and Challenges of Renewable Energy Sources","authors":"Laura Schaefer, A. Atreya","doi":"10.53759/181x/jcns202404009","DOIUrl":"https://doi.org/10.53759/181x/jcns202404009","url":null,"abstract":"Efficient methods for decreasing emissions in the energy sector include enhancing the efficacy of coal-fired power plants, augmenting the utilization nuclear energy and gas for heat and electricity generation, diversifying the application of renewable sources of energy, and allowing to consume energy in a rational manner. By adopting renewable energy sources, we not only get environmental benefits, but also strengthen the state's autonomy in fuel and energy exports. This leads to savings in foreign money and the establishment of new job possibilities. This article examines the potential, as well as limitations and challenges, of renewable sources of energy, such hydrogen, solar, wind, and biogas. This article research different factors influencing the economic viability of renewable energy potentials, including their geographical, technical, and technological characteristics. The essay also examines the benefits and drawbacks of generating biogas, wind energy, and solar thermal energy. The conclusion underlines the need of careful planning, site selection, and environmental studies to ensure the successful integration of renewable energy into the existing power system.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"12 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140738757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Rise of Robotic Process Automation in the Banking Sector: Streamlining Operations and Improving Efficiency 机器人流程自动化在银行业的崛起：简化操作、提高效率

Journal of Computing and Natural Science Pub Date : 2024-01-05 DOI: 10.53759/181x/jcns202404004

Abdulhaq Abildtrup

{"title":"The Rise of Robotic Process Automation in the Banking Sector: Streamlining Operations and Improving Efficiency","authors":"Abdulhaq Abildtrup","doi":"10.53759/181x/jcns202404004","DOIUrl":"https://doi.org/10.53759/181x/jcns202404004","url":null,"abstract":"Robot Process Automation (RPA) is a type of business process automation that relies on software robots (bots) or artificial intelligence (AI) agents. This phenomenon is sometimes denoted as software robotics, which should not be conflated with robot software. This study investigates the increasing prevalence of RPA across several sectors, with a specific focus on its use in back-office functions. RPA software, exemplified by platforms like Blue Prism, Automation Anywhere, and UiPath, replicates human-computer interactions in order to automate operations that are repetitive and governed by predefined rules. This technology offers many advantages, including cost reduction, mistake minimization, and risk elimination. This research investigates many domains in which RPA may be used, including credible business transformation, content migrations, web crawling/OSINT, and IT department enablement. Additionally, it emphasizes the significant responsibilities within RPA operations, including process architects, technologists, and personnel involved in continuous support and maintenance. The study includes case studies conducted within the banking industry, which demonstrate the potential of RPA in augmenting both customer happiness and productivity. The market report anticipates substantial expansion in the market for RPA software, whereby industry leaders such as UiPath, Automation Anywhere, and Blue Prism are expected to play a dominant role.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"60 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139629912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Assessment of Data Transmission Reliability in Mobile Wireless Sensor Networks 移动无线传感器网络中数据传输可靠性评估

Journal of Computing and Natural Science Pub Date : 2023-07-05 DOI: 10.53759/181x/jcns202303013

J. Ge, Yuan Xue

{"title":"An Assessment of Data Transmission Reliability in Mobile Wireless Sensor Networks","authors":"J. Ge, Yuan Xue","doi":"10.53759/181x/jcns202303013","DOIUrl":"https://doi.org/10.53759/181x/jcns202303013","url":null,"abstract":"Despite the significant improvements made to the internet in recent years, fewer individuals are utilizing it on a regular basis. Although there are many avenues via which people may share and gather information online, online social networks have quickly risen to prominence as a primary means of dissemination. Many of the previous researches have issues, such as clumsy computing processes and poor efficiency, while the sheer volume of nodes and interactions in social networks provide significant challenges for privacy protection. In this article, we use the dynamic setting of Social Networking Sites (SNS) as a study context, zeroing in on the critical concerns of mobile Wireless Sensor Networks (WSNs) dependability in terms of scalability, information simplicity, and delay tolerance.Various issues of dependability are discussed, including but not limited to: topological reliability evaluation techniques in engineeringfield applications, the implications of mobile maximization of cellular WSNs on the efficiency of data collection and reliability of network, dependable information transmission reliant of the approaches of smart learning, data fusion, and the bionic optimization of swarm intelligence","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124884666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Contribution of Innovation, Science and Technology in Enhancing Renewable Energy 创新和科技对促进可再生能源的贡献

Journal of Computing and Natural Science Pub Date : 2023-07-05 DOI: 10.53759/181x/jcns202303015

A. Ramu, Teshome Adugna, A. Haldorai

引用次数: 0

A Survey on Design, Applications and Limitations of Computational Intelligence 计算智能的设计、应用和局限性综述

Journal of Computing and Natural Science Pub Date : 2023-07-05 DOI: 10.53759/181x/jcns202303012

Ali Кhusein

引用次数: 0

Advances and Development of Electronic Neural Interfaces 电子神经接口的进展与发展

Journal of Computing and Natural Science Pub Date : 2023-07-05 DOI: 10.53759/181x/jcns202303014

Xue Jiaxiang, Liu Zhixin

引用次数: 0