Pub Date : 2024-04-05DOI: 10.53759/181x/jcns202404007
Malene Helgo
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.
{"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}
Pub Date : 2024-04-05DOI: 10.53759/181x/jcns202404008
Francisco Pedro
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.
{"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}
Pub Date : 2024-04-05DOI: 10.53759/181x/jcns202404006
A. Haldorai
Quantum computing is an advanced computing area that utilizes the principles of quantum mechanics to do certain operations at much faster rates compared to traditional computers. Quantum bits, or qubits, have the ability to exist in multiple states simultaneously, unlike traditional bits, which have a state of 0 or 1. This unique property was created by a process known as superposition. This article reviews the various quantum computing applications within the field of robotics. It further discusses the principles of quantum computing such as superposition and qubits, and puts more focus on exponential processing capacity of it. Various quantum algorithms are reviewed in comparison to traditional methods used on completing machine learning tasks and handling robotics. In addition, this paper reviews potential applications of quantum computing within the field of artificial intelligence, data mining, and image process. Lastly, the paper highlights the necessity of effectively integrating robotics with quantum computing, considering application-based protocols, scale-up capacity, and hardware-free algorithms.
{"title":"Advancements and Applications of Quantum Computing in Robotics","authors":"A. Haldorai","doi":"10.53759/181x/jcns202404006","DOIUrl":"https://doi.org/10.53759/181x/jcns202404006","url":null,"abstract":"Quantum computing is an advanced computing area that utilizes the principles of quantum mechanics to do certain operations at much faster rates compared to traditional computers. Quantum bits, or qubits, have the ability to exist in multiple states simultaneously, unlike traditional bits, which have a state of 0 or 1. This unique property was created by a process known as superposition. This article reviews the various quantum computing applications within the field of robotics. It further discusses the principles of quantum computing such as superposition and qubits, and puts more focus on exponential processing capacity of it. Various quantum algorithms are reviewed in comparison to traditional methods used on completing machine learning tasks and handling robotics. In addition, this paper reviews potential applications of quantum computing within the field of artificial intelligence, data mining, and image process. Lastly, the paper highlights the necessity of effectively integrating robotics with quantum computing, considering application-based protocols, scale-up capacity, and hardware-free algorithms.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"225 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140740279","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}
Pub Date : 2024-04-05DOI: 10.53759/181x/jcns202404010
Abdulhaq Abildtrup, Iben Charlotte Alminde
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.
{"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}
Pub Date : 2024-04-05DOI: 10.53759/181x/jcns202404009
Laura Schaefer, A. Atreya
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.
{"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}
Pub Date : 2024-01-05DOI: 10.53759/181x/jcns202404004
Abdulhaq Abildtrup
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.
机器人流程自动化（RPA）是一种依赖于软件机器人（bots）或人工智能（AI）代理的业务流程自动化。这种现象有时被称为软件机器人，但不应与机器人软件混为一谈。本研究调查了 RPA 在多个行业日益普及的情况，特别关注其在后台职能中的应用。以 Blue Prism、Automation Anywhere 和 UiPath 等平台为例，RPA 软件复制人机交互，以实现重复性操作的自动化，并遵循预定义的规则。这项技术具有许多优势，包括降低成本、减少失误和消除风险。本研究调查了可使用 RPA 的许多领域，包括可靠的业务转型、内容迁移、网络爬行/OSINT 和 IT 部门赋能。此外，它还强调了 RPA 运行中的重要责任，包括流程架构师、技术专家以及参与持续支持和维护的人员。该研究包括在银行业进行的案例研究，展示了 RPA 在提高客户满意度和生产率方面的潜力。市场报告预计，RPA 软件市场将大幅扩张，UiPath、Automation Anywhere 和 Blue Prism 等行业领导者将发挥主导作用。
{"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}
Pub Date : 2023-07-05DOI: 10.53759/181x/jcns202303013
J. Ge, Yuan Xue
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
{"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}
Pub Date : 2023-07-05DOI: 10.53759/181x/jcns202303015
A. Ramu, Teshome Adugna, A. Haldorai
This article focuses on the importance of research, innovation, and technology in increasing the proportion of sources of renewables in the transnational spectrum of energy. It looks at the current state of renewable energy, where it's headed, what's holding it back, and what's pushing it forward, all in an effort to provide an overview of the state of the art. The paper covers a wide range of themes associated with renewables, including marketplace designs, and policy formulation, technical challenges to the incorporation of these renewables in the power system, mini-grid and off-grid uses, and residential use. This research argues that various nations would have distinct national renewable paths based on their contextual circumstances and goals. The paper proposes that a variety of policies are needed to facilitate the spread of renewable energy. The importance of international collaboration in enhancing the connectivity of grid infrastructures, as well as in information sharing, policy education, capacity building, and technological advancement, is emphasized.
{"title":"The Contribution of Innovation, Science and Technology in Enhancing Renewable Energy","authors":"A. Ramu, Teshome Adugna, A. Haldorai","doi":"10.53759/181x/jcns202303015","DOIUrl":"https://doi.org/10.53759/181x/jcns202303015","url":null,"abstract":"This article focuses on the importance of research, innovation, and technology in increasing the proportion of sources of renewables in the transnational spectrum of energy. It looks at the current state of renewable energy, where it's headed, what's holding it back, and what's pushing it forward, all in an effort to provide an overview of the state of the art. The paper covers a wide range of themes associated with renewables, including marketplace designs, and policy formulation, technical challenges to the incorporation of these renewables in the power system, mini-grid and off-grid uses, and residential use. This research argues that various nations would have distinct national renewable paths based on their contextual circumstances and goals. The paper proposes that a variety of policies are needed to facilitate the spread of renewable energy. The importance of international collaboration in enhancing the connectivity of grid infrastructures, as well as in information sharing, policy education, capacity building, and technological advancement, is emphasized.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"89 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":"121362651","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}
Pub Date : 2023-07-05DOI: 10.53759/181x/jcns202303012
Ali Кhusein
Computational Intelligence (CI) is a branch of Artificial Intelligence (AI), which deals with the designing and enhancement of intelligent models with the ability to process and assess big data. The segment of CI has developed significantly over the past few decades due to the enhancement of AI and soft computing approaches, techniques, and tools, which envision the status of intelligence embedded in reality observation. This research contribution provides a critical survey of CI designs and its different applications. This research provides a description of the major methods, techniques and concepts in the field of CI, including smart system designs, CI types, and practical applications in different fields. The research also presents an analysis of li mitations and challenges of CI, and provides insight into the results, effects and future research. The main purpose of this study is to provide a detailed understanding of CI applications and design; making is a vital resource for practitioners, and researchers in the field of AI.
{"title":"A Survey on Design, Applications and Limitations of Computational Intelligence","authors":"Ali Кhusein","doi":"10.53759/181x/jcns202303012","DOIUrl":"https://doi.org/10.53759/181x/jcns202303012","url":null,"abstract":"Computational Intelligence (CI) is a branch of Artificial Intelligence (AI), which deals with the designing and\u0000enhancement of intelligent models with the ability to process and assess big data. The segment of CI has developed significantly over\u0000the past few decades due to the enhancement of AI and soft computing approaches, techniques, and tools, which envision the status of\u0000intelligence embedded in reality observation. This research contribution provides a critical survey of CI designs and its different\u0000applications. This research provides a description of the major methods, techniques and concepts in the field of CI, including smart\u0000system designs, CI types, and practical applications in different fields. The research also presents an analysis of li mitations and\u0000challenges of CI, and provides insight into the results, effects and future research. The main purpose of this study is to provide a\u0000detailed understanding of CI applications and design; making is a vital resource for practitioners, and researchers in the field of AI.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"128 47 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":"117029617","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}
Pub Date : 2023-07-05DOI: 10.53759/181x/jcns202303014
Xue Jiaxiang, Liu Zhixin
The discipline of neural engineering is working to enhance the functional and stability lifespan of present implanted neuroelectronic interfaces by developing next-generation interfaces employing biologically-derived and biologically-inspired materials. Humans and robots may exchange information using input devices like keyboards and touchscreens. Future information sharing may be facilitated through neural interfaces that provide a more direct electric connection between digital (man-made) systems and analog nerve systems. This paper presents the history and development of electronic brain interface; and classifies and analyzes the interfaces into four generations based on the technical landmarks within the electronic sensor interface and its evolution, including the patch clamp method, integrated neural interfaces, wearable or implantable neural interfaces, and multi-based neural interfaces. In this paper, we also discuss the potential presented by cutting-edge technology and critical system and circuit problems in the neural interface model.
{"title":"Advances and Development of Electronic Neural Interfaces","authors":"Xue Jiaxiang, Liu Zhixin","doi":"10.53759/181x/jcns202303014","DOIUrl":"https://doi.org/10.53759/181x/jcns202303014","url":null,"abstract":"The discipline of neural engineering is working to enhance the functional and stability lifespan of present implanted\u0000neuroelectronic interfaces by developing next-generation interfaces employing biologically-derived and biologically-inspired\u0000materials. Humans and robots may exchange information using input devices like keyboards and touchscreens. Future information\u0000sharing may be facilitated through neural interfaces that provide a more direct electric connection between digital (man-made) systems\u0000and analog nerve systems. This paper presents the history and development of electronic brain interface; and classifies and analyzes\u0000the interfaces into four generations based on the technical landmarks within the electronic sensor interface and its evolution, including\u0000the patch clamp method, integrated neural interfaces, wearable or implantable neural interfaces, and multi-based neural interfaces. In\u0000this paper, we also discuss the potential presented by cutting-edge technology and critical system and circuit problems in the neural\u0000interface model.","PeriodicalId":170349,"journal":{"name":"Journal of Computing and Natural Science","volume":"34 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":"128143610","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}
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