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Security, Privacy, and Efficiency of Sustainable Computing for Future Smart Cities

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초록

Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinaryengineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy,efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computingecosystem for future smart cities, it is important to take into account their entire life cycle from design andmanufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systemscovering small IoT devices up to large data centers. This editorial focuses on the security, privacy, andefficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorousreview process.

Abstract

Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinaryengineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy,efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computingecosystem for future smart cities, it is important to take into account their entire life cycle from design andmanufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systemscovering small IoT devices up to large data centers. This editorial focuses on the security, privacy, andefficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorousreview process.

참고문헌 (17)

  1. Sayan Maity, "Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning", JIPS(Journal of Information Processing Systems), 16(1), pp.6~29 (2020), 한국정보처리학회[DOI]
  2. Kaiqun Hu, "An Improvement Algorithm for the Image Compression Imaging", JIPS(Journal of Information Processing Systems), 16(1), pp.30~41 (2020), 한국정보처리학회[DOI]
  3. KwangMin Koo, "A Secure Operating System Architecture Based on Linux against Communication Offense with Root Exploit for Unmanned Aerial Vehicles", JIPS(Journal of Information Processing Systems), 16(1), pp.42~48 (2020), 한국정보처리학회[DOI]
  4. Zhonghua Wang, "A New Image Enhancement Algorithm Based on Bidirectional Diffusion", JIPS(Journal of Information Processing Systems), 16(1), pp.49~60 (2020), 한국정보처리학회[DOI]
  5. Jun-Young Park, "A Cost-Optimization Scheme Using Security Vulnerability Measurement for Efficient Security Enhancement", JIPS(Journal of Information Processing Systems), 16(1), pp.61~82 (2020), 한국정보처리학회[DOI]
  6. Liming Zhou, "Privacy-Preserving, Energy-Saving Data Aggregation Scheme in Wireless Sensor Networks", JIPS(Journal of Information Processing Systems), 16(1), pp.83~95 (2020), 한국정보처리학회[DOI]
  7. Lihao Ni, "Privacy Protection Model for Location-Based Services", JIPS(Journal of Information Processing Systems), 16(1), pp.96~112 (2020), 한국정보처리학회[DOI]
  8. Taehoon Kim, "Cell Counting Algorithm Using Radius Variation, Watershed and Distance Transform", JIPS(Journal of Information Processing Systems), 16(1), pp.113~119 (2020), 한국정보처리학회[DOI]
  9. Maolin Xu, "Research on the Basic Rodrigues Rotation in the Conversion of Point Clouds Coordinate System", JIPS(Journal of Information Processing Systems), 16(1), pp.120~131 (2020), 한국정보처리학회[DOI]
  10. Mohamed Hanine, "A Load-Balancing Approach Using an Improved Simulated Annealing Algorithm", JIPS(Journal of Information Processing Systems), 16(1), pp.132~144 (2020), 한국정보처리학회[DOI]
  11. Yongjian Zhao, "Adaptive Signal Separation with Maximum Likelihood", JIPS(Journal of Information Processing Systems), 16(1), pp.145~154 (2020), 한국정보처리학회[DOI]
  12. Xin-mei Wu, "Passive Ranging Based on Planar Homography in a Monocular Vision System", JIPS(Journal of Information Processing Systems), 16(1), pp.155~170 (2020), 한국정보처리학회[DOI]
  13. 박예슬, "Class-Labeling Method for Designing a Deep Neural Network of Capsule Endoscopic Images Using a Lesion-Focused Knowledge Model", JIPS(Journal of Information Processing Systems), 16(1), pp.171~183 (2020), 한국정보처리학회[DOI]
  14. Kai Wang, "Computing Semantic Similarity between ECG-Information Concepts Based on an Entropy-Weighted Concept Lattice", JIPS(Journal of Information Processing Systems), 16(1), pp.184~200 (2020), 한국정보처리학회[DOI]
  15. 안진현, "Combining Local and Global Features to Reduce 2-Hop Label Size of Directed Acyclic Graphs", JIPS(Journal of Information Processing Systems), 16(1), pp.201~209 (2020), 한국정보처리학회[DOI]
  16. Yanjiao Wang, "Symbiotic Organisms Search for Constrained Optimization Problems", JIPS(Journal of Information Processing Systems), 16(1), pp.210~223 (2020), 한국정보처리학회[DOI]
  17. 장운수, "Low-Quality Banknote Serial Number Recognition Based on Deep Neural Network", JIPS(Journal of Information Processing Systems), 16(1), pp.224~237 (2020), 한국정보처리학회[DOI]

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