{"title":"Swarm Robotics: Coordination and Collaboration in Multi-Robot Systems","authors":"","doi":"10.48047/resmil.v9i1.20","DOIUrl":"https://doi.org/10.48047/resmil.v9i1.20","url":null,"abstract":"","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140387664","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 : 2024-03-01DOI: 10.48047/resmil.v10i1.15
{"title":"Green Roofing and Sustainable Construction Materials","authors":"","doi":"10.48047/resmil.v10i1.15","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.15","url":null,"abstract":"","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"157 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404720","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}
As automation and consumerization become the dominant paradigms for designing and deploying IT infrastructure, these trends will also extend to the next frontier of IT-shop modernization: systems management and higher-level automation. This report identifies and examines the current state of enterprise adoption of private, public and hybrid clouds by workload using original survey research.
随着自动化和消费化成为设计和部署 IT 基础架构的主流模式，这些趋势也将扩展到 IT 部门现代化的下一个前沿领域：系统管理和更高级别的自动化。本报告利用原创调查研究，按工作量确定并研究了企业采用私有云、公共云和混合云的现状。
{"title":"HYBRID CLOUD SOLUTIONS","authors":"","doi":"10.48047/resmil.v10i1.8","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.8","url":null,"abstract":"As automation and consumerization become the dominant paradigms for designing and deploying IT infrastructure, these trends will also extend to the next frontier of IT-shop modernization: systems management and higher-level automation. This report identifies and examines the current state of enterprise adoption of private, public and hybrid clouds by workload using original survey research.","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140285925","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 : 2024-03-01DOI: 10.48047/resmil.v10i1.10
Dinesh Kumar, Garg, Rohitash Kumar
: The speedy growth of cloud computing has propelled issues about its environmental footprint, prompting a crucial exam of strength intake in records centers. This evaluate delves into the area of inexperienced computing in the context of cloud environments, focusing on strength-efficient practices and their implications for sustainability. By surveying the latest techniques, technology, and projects, these paper pursuits to offer a comprehensive understanding of ways the cloud computing paradigm can align with environmental duty. From strength-efficient records middle practices to the combination of renewable strength resources, the synthesis of present-day studies and industry practices sheds light at the multifaceted techniques to decrease the carbon footprint of cloud services. The summary concludes via emphasizing the significance of embracing green computing as an quintessential aspect of the evolving panorama of cloud technologies, striving for a harmonious coexistence among digital innovation and environmental sustainability.
{"title":"Green Computing in the Cloud: A Review of Energy-Efficient Practices","authors":"Dinesh Kumar, Garg, Rohitash Kumar","doi":"10.48047/resmil.v10i1.10","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.10","url":null,"abstract":": The speedy growth of cloud computing has propelled issues about its environmental footprint, prompting a crucial exam of strength intake in records centers. This evaluate delves into the area of inexperienced computing in the context of cloud environments, focusing on strength-efficient practices and their implications for sustainability. By surveying the latest techniques, technology, and projects, these paper pursuits to offer a comprehensive understanding of ways the cloud computing paradigm can align with environmental duty. From strength-efficient records middle practices to the combination of renewable strength resources, the synthesis of present-day studies and industry practices sheds light at the multifaceted techniques to decrease the carbon footprint of cloud services. The summary concludes via emphasizing the significance of embracing green computing as an quintessential aspect of the evolving panorama of cloud technologies, striving for a harmonious coexistence among digital innovation and environmental sustainability.","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140399633","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}
{"title":"Legal and Ethical Aspects of IoT Security","authors":"","doi":"10.48047/resmil.v9i1.29","DOIUrl":"https://doi.org/10.48047/resmil.v9i1.29","url":null,"abstract":"","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"227 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140402776","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 : 2024-03-01DOI: 10.48047/resmil.v10i1.21
Gaurav Agrawal, Shazmeen Taqvi, Richa Gulati
: Machine learning frameworks play a pivotal position inside the development and deployment of modern fashions for a big selection of programs. TensorFlow and PyTorch, two prominent frameworks, have emerged as leaders in the discipline, each with its particular strengths and characteristics. This research paper conducts a complete comparative evaluation of TensorFlow and PyTorch, that specialize in their architecture, ease of use, network aid, and overall performance in system studying packages. The paper begins via offering an outline of the historic improvement and key features of each TensorFlow and PyTorch. Subsequently, it delves into an in depth exam of their respective computational graphs, dynamic/static graph execution modes, and model deployment abilities. Special emphasis is positioned on know-how the learning curve related to each framework, exploring their high-degree APIs, and assessing their extensibility for studies and production environments. The study conducts a performance analysis, evaluating TensorFlow and PyTorch across various benchmarks and real-international eventualities. Metrics such as education pace, useful resource usage, and scalability are taken into consideration to provide a holistic information of their computational efficiency. Additionally, the research investigates the frameworks' compatibility with specialized hardware, which includes GPUs and TPUs, to assess their capability for
{"title":"Machine Learning with TensorFlow and PyTorch: A Comparative Analysis","authors":"Gaurav Agrawal, Shazmeen Taqvi, Richa Gulati","doi":"10.48047/resmil.v10i1.21","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.21","url":null,"abstract":": Machine learning frameworks play a pivotal position inside the development and deployment of modern fashions for a big selection of programs. TensorFlow and PyTorch, two prominent frameworks, have emerged as leaders in the discipline, each with its particular strengths and characteristics. This research paper conducts a complete comparative evaluation of TensorFlow and PyTorch, that specialize in their architecture, ease of use, network aid, and overall performance in system studying packages. The paper begins via offering an outline of the historic improvement and key features of each TensorFlow and PyTorch. Subsequently, it delves into an in depth exam of their respective computational graphs, dynamic/static graph execution modes, and model deployment abilities. Special emphasis is positioned on know-how the learning curve related to each framework, exploring their high-degree APIs, and assessing their extensibility for studies and production environments. The study conducts a performance analysis, evaluating TensorFlow and PyTorch across various benchmarks and real-international eventualities. Metrics such as education pace, useful resource usage, and scalability are taken into consideration to provide a holistic information of their computational efficiency. Additionally, the research investigates the frameworks' compatibility with specialized hardware, which includes GPUs and TPUs, to assess their capability for","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"48 210","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140405999","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 : 2024-03-01DOI: 10.48047/resmil.v10i1.11
{"title":"Exploratory Data Analysis (EDA) for Beginners: Tools and Best Practices","authors":"","doi":"10.48047/resmil.v10i1.11","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.11","url":null,"abstract":"","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"42 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140400968","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 : 2024-03-01DOI: 10.48047/resmil.v10i1.18
{"title":"AI in Healthcare: Applications, Challenges, and Future Prospects","authors":"","doi":"10.48047/resmil.v10i1.18","DOIUrl":"https://doi.org/10.48047/resmil.v10i1.18","url":null,"abstract":"","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"42 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140400970","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 : 2024-03-01DOI: 10.48047/resmil.v12i6.52
N. B. Singh, H. S. Singh, A. R. Devi, B. A. Sharma, Th. Basanta Singh
: Natural radioactivity is a source of continuous exposure to human beings. It originates from both extraterrestrial sources and radioactive elements in the earth’s crust. The amount of radioactivity in soil varies widely. The main radionuclides contaminant in soil are mainly from 238 U and 232 Th decay series and 40 K . Activity concentrations of soil samples are normally measured by means of high-resolution gamma-ray spectrometry. Several studies on natural radioactivity in soil as well as building materials has been done and various observations were reported. In this article, a review on studies of radioactivity in soil was carried out
:天然放射性是人类持续受到辐射的一个来源。它来源于地外辐射源和地壳中的放射性元素。土壤中的放射性含量差异很大。土壤中的主要放射性核素污染物主要来自 238 U 和 232 Th 衰变系列以及 40 K。土壤样本的放射性浓度通常通过高分辨率伽马射线光谱仪来测量。对土壤和建筑材料中的天然放射性进行了多项研究，并报告了各种观察结果。本文对土壤中的放射性研究进行了综述。
{"title":"Review on studies of radioactivity in soil","authors":"N. B. Singh, H. S. Singh, A. R. Devi, B. A. Sharma, Th. Basanta Singh","doi":"10.48047/resmil.v12i6.52","DOIUrl":"https://doi.org/10.48047/resmil.v12i6.52","url":null,"abstract":": Natural radioactivity is a source of continuous exposure to human beings. It originates from both extraterrestrial sources and radioactive elements in the earth’s crust. The amount of radioactivity in soil varies widely. The main radionuclides contaminant in soil are mainly from 238 U and 232 Th decay series and 40 K . Activity concentrations of soil samples are normally measured by means of high-resolution gamma-ray spectrometry. Several studies on natural radioactivity in soil as well as building materials has been done and various observations were reported. In this article, a review on studies of radioactivity in soil was carried out","PeriodicalId":517991,"journal":{"name":"resmilitaris","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140399663","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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