Application and development of Internet of things in medical service by Zhibiao WANG, Peng RAN, Qiao CHEN

“…With the continuous development of information technology,such technologies as the Internet of things,sensors,mobile terminals and big data are being fully used in medical services.Intelligent medical care has also become a new goal of hospital information construction.The emergence and development of Internet of things technology were analyzed,the importance of this technology in the field of medical and health construction were summarized,which helped to improve the efficiency and quality of medical process services,improved the level of comprehensive hospital management.Two aspects were mainly elaborated:one was the intelligent medical system based on the Internet of things,which provided medical and health interactive services to users,and promoted the transformation of disease from therapeutic intervention to preventive intervention; the other was the intelligent medical system based on the Internet of things,promoted cloud computing and real-time transmission and sharing of large data in medical information.The application of this technology improved the utilization of medical resourced,reduced the cost of medical treatment,and changed the traditional mode of medical treatment.It is foreseeable that intelligent medical services based on Internet of things will become an indispensable part of people’s healthy life.…”
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المستودعات الرقمية المؤسسية في الأدبيات العربية والأجنبية: مراجعة علمية by غادة حمدى محمد الخطيب

“…Among the studies that received the largest number of research results was the role of institutional digital repositories as an important indicator to highlight this role among researchers, while the least addressed topics were topics related to the most important modern fields such as: artificial intelligence, cloud computing, augmented and virtual reality, and other topics related to importance at the moment. …”
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A Correctness Checking Approach for Collaborative Business Processes in the Cloud by Qi Mo, Yuqi Wang, Jixiang Xiang, Tong Li

“…With the increasing popularity of cloud computing, especially the emergence of Business Process as a Service (BPaaS), more and more enterprises construct their process collaborations based on BPaaS services. …”
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Cloud-Assisted Scalable Video Delivery Solution over Mobile Ad Hoc Networks by Lujie Zhong, Shijie Jia

“…Cloud computing is promising avenue for supporting high-performance and interactive streaming service. …”
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Impact of digital transformation on the competitive advantage of companies by Zimonjić Marijana

“…Key factors of digital transformation, as well as ways in which technologies such as artificial intelligence, big data, automation, and cloud computing enable companies to improve their operations, innovate products and services, and achieve sustainable competitive advantage in the market. …”
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Research on Business Requirement Analysis and Network Architecture of CDN for Power Grid by Yirong Wang, Sining Wang, Ying Zou, Botao Yu

“…During the“Twelfth Five Year Plan”，with the continuous deepening development of the SGCC information s ystem，the number of large management information system of one-1evel deployment continues to increase，wide coverage，1arge number of users，and new technologies such as the software-hardware resource pool and the cloud computing，brings new challenge to the data network. …”
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Intent-driven cloud-network convergence on-demand orchestration by Lulu ZHANG, Chungang YANG, Dong WANG, Ying OUYANG, Tong LI, Junjie GUO, Ru DONG

“…With the rapid development of cloud computing and Internet technology, user service demands show a diversified development trend, and cloud-network convergence has become an important choice for the development of the current information and communication industry.At present, cloud-network convergence only achieves simple cloud-network interconnection, which can not overcome the heavy problems of diversified service demands and massive heterogeneous resource supply.Therefore, promoting cloud-network convergence still requires strengthening the on-demand delivery capability of cloud services.Intent-driven network, as a new networking paradigm, becomes a viable option to solve this dilemma.The research status of cloud-network convergence was sorted out, and the research necessity of intention-driven cloud-network convergence business on-demand orchestration was summarized.Furthermore, the intent-driven cloud-network convergence architecture and its key technologies were proposed and analyzed, and on this basis, an on-demand orchestration model of cloud business was proposed.Finally, in the hybrid cloud interconnection and industrial Internet scenarios, the intent-driven on-demand orchestration model of cloud business was analyzed, and the future prospects were introduced.…”
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An Adaptive Multilevel Security Framework for the Data Stored in Cloud Environment by Sudha Devi Dorairaj, Thilagavathy Kaliannan

“…Cloud computing is renowned for delivering information technology services based on internet. …”
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Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks by Kang Xie, Yixian Yang, Ling Zhang, Maohua Jing, Yang Xin, Zhongxian Li

“…In order to meet the demands of operation monitoring of large scale, autoscaling, and heterogeneous virtual resources in the existing cloud computing, a new method of live virtual machine (VM) migration detection algorithm based on the cellular neural networks (CNNs), is presented. …”
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A Proposal for a Zero-Trust-Based Multi-Level Security Model and Its Security Controls by Jun-Hyung Park, Sung-Chae Park, Heung-Youl Youm

“…However, the constraints of isolated network environments and the limitations of existing security frameworks hinder the adoption of cutting-edge technologies such as AI and cloud computing, as well as the safe utilisation of data. …”
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Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

“…LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big data center.Based on network traffic analysis,three intrinsic characteristics of LDoS attack flow were extracted to be a set of input to BP neural network,which is a classifier for LDoS attack detection.Hence,an approach of detecting LDoS attacks was proposed based on novel combined feature value.The proposed approach can speedily and accurately model the LDoS attack flows by the efficient self-organizing learning process of BP neural network,in which a proper decision-making indicator is set to detect LDoS attack in accuracy at the end of output.The proposed detection approach was tested in NS2 platform and verified in test-bed network environment by using the Linux TCP-kernel source code,which is a widely accepted LDoS attack generation tool.The detection probability derived from hypothesis testing is 96.68%.Compared with available researches,analysis results show that the performance of combined features detection is better than that of single feature,and has high computational efficiency.…”
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Sustainable Development in the Digital Age: Harnessing Emerging Digital Technologies to Catalyze Global SDG Achievement by Claudiu George Bocean

“…This research explores the transformative potential of cutting-edge digital technologies—including artificial intelligence, big data analytics, cloud computing, and the Internet of Things—in fostering sustainable development across economic, social, and environmental dimensions. …”
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Joint Resource Allocation Optimization of Wireless Sensor Network Based on Edge Computing by Jie Liu, Li Zhu

“…Edge computing changes the traditional centralized cloud computing processing method into a method that reduces computing storage capacity to the edge of the network and faces users and terminals. …”
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Modeling and Research on Human Capital Accumulation Complex System of High-Tech Enterprises Based on Big Data by Yanan Shen

“…In addition, complex systems were modeled based on big data, and a cloud computing-based human capital big data analysis platform was established. …”
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Cloud-based intelligent computing center ten-thousand card cluster innovation and practice by DING Hongqing, ZHANG Pengfei, NIU Hongweihua, LI Zhiyong, ZHOU Danyuan, DING Guoqiang, LI Panpan, LI Daotong, ZHANG Jiuxian

“…To address issues such as low availability of computing power in ultra-large scale computing clusters of intelligent computing centers, low maturity of domestically produced technologies, bottlenecks in large-scale networking efficiency, and complex operations and maintenance, a system based on cloud computing technology for constructing a ten-thousand card cluster in an intelligent computing center was proposed. …”
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ECMO: An Efficient and Confidential Outsourcing Protocol for Medical Data by Xiangyi Meng, Yuefeng Du, Cong Wang

“…Cloud computing has significantly advanced medical data storage capabilities, enabling healthcare institutions to outsource data management. …”
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An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment by Vinothkumar Muthurajan, Balaji Narayanasamy

“…Cloud computing requires the security upgrade in data transmission approaches. …”
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Trusted Computing Strengthens Cloud Authentication by Eghbal Ghazizadeh, Mazdak Zamani, Jamalul-lail Ab Manan, Mojtaba Alizadeh

“…Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. …”
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Privacy computing:concept, connotation and its research trend by Feng-hua LI, Hui LI, Yan JIA, Neng-hai YU, Jian WENG

“…s: With the widespread application of mobile Internet, cloud computing and big data technologies, people enjoy the convenience of electronic business, information retrieval, social network and other services, whereas the threats of privacy leaks are ever growing due to the use of big data analytics. …”
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IoT in Urban Traffic Prediction Development Case Studies and Future Trends by Wang Renhe

“…First, edge computing is introduced into the IOT, and edge computing is mixed with cloud computing to obtain a prediction system with better performance and lower robustness. …”
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