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Sewer infrastructure management is essential for public health, environmentalprotection, and urban stability. Aging networks and the impacts of climatechange emphasize the need for advanced management solutions. Traditionalmethods, such as periodic inspections and reactive maintenance, are insuffi-cient to address the complexities of modern sewer systems. This study surveysintelligent-sensor-based management technologies aimed at improving sewerinfrastructure. Key technologies include Internet-of-Things-driven data collec-tion, machine learning and deep learning analytics, cloud and edge comput-ing, and autonomous robotics. Based on case studies from South Korea,Germany, Japan, and the United States, the practical benefits of these technol-ogies were explored, including real-time monitoring and predictive mainte-nance, as well as challenges such as sensor durability, robotic mobility, anddata analysis limitations. Rather than proposing solutions, this study evaluatesthe current state of these technologies and identifies gaps that require furtherresearch and innovation. It provides a comprehensive overview that serves asa valuable resource for researchers and practitioners and contributes to theadvancement of sustainable and efficient sewer management systems.

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기사명 저자명 페이지 원문 목차
Special issue on smart city technologies and services based on AI for digital twin applications Byoung Chul Ko, Ming-Ching Chang, Jong Taek Lee, Jo Woon Chong, Jin Seek Choi p. 793-796
Trends in intelligent sensor-based customized management technologies for sewer infrastructures Mi-Seon Kang, Hyan-Su Bae, Kyoungoh Lee, Ki-Young Moon, Jung-Won Yu, Jin-Hong Kim, Doo-Sik Kim, Yun-Jeong Song, Je-Youn Dong, Kwang-Ju Kim, Sang-Soo Baek p. 797-814
ELiOT : end-to-end LiDAR odometry with transformers harnessing real-world, simulated, and digital twin Daegyu Lee, Hyunwoo Nam, Insung Jang, David Hyunchul Shim p. 815-829
DOROS : a multilevel traffic dataset for dynamic urban scene understanding Jungyu Kang, Kyoung-Wook Min, Sangyoun Lee p. 830-840
Privacy-preserving labeling-free occupancy counting sensor based on ToF camera and clustering Jaeik Jeong, Wan-Ki Park p. 841-854
Exploring GPU sharing techniques for edge AI smart city applications Sooyeon Woo, Jihwan Yeo, Jinhong Kim, Kyungwoon Lee p. 855-864
Robust Mahalanobis distance-based lazy learning method for fault detection in high-dimensional processes Jungwon Yu, Kwang-Ju Kim, In-Su Jang p. 865-880
High-speed and precise virtual try-on with two-stage semantic segmentation and a latent consistency model for optimized diffusion processes Sangyeop Baek, Jong Taek Lee p. 881-892
Secure task offloading scheme for traffic video surveillance via reinforcement learning Jianhua Liu, Kexin Wang, Xiaoni Shi, Xiaoguang Tu, Jiajia Liu p. 893-908
(A) novel RSSI-based geometric iterative centroid positioning optimization strategy using commercial Wi-Fi signals Jin Huang, Xuejie Hu, Yue Tian p. 909-920
Optimizing the design of intelligent reflecting surfaces with graphene for maximum wireless power transfer in Internet of things communications Bhupendra Sharma, Anirudh Agarwal, Deepak Mishra, Soumitra Debnath, Santosh Shah p. 921-933
Anomaly detection and prediction of energy consumption for smart homes using machine learning Anitha Ambat, Jayakrushna Sahoo p. 934-945
High-speed end-to-edge data caching and forwarding architecture based on field programmable gate array Xiao Liu, Shubo Liu, Juncheng Wu, Song Song, Zhaohui Cai, Guoqing Tu p. 946-958
DeepMonitor : a comprehensive approach for real-time hazard detection for industrial safety Seonhoon Lee, YeongSeung Baek, Heung-Seon Oh, Seonho Kim p. 959-969
Dynamic tile-map generation for crack-free rendering of large-scale terrain data Cheonin Oh, Ahyun Lee p. 970-982
UTexGen : high-quality texture reconstruction for large-scale scenes using multi-view images Hye-Sun Kim, Yun-Ji Ban, Chang-Joon Park p. 983-995

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