Article The Development Status of Global Cross border E-commerce for Pet Supplies and the Response Strategies of Chinese Sellers Zengyishuo Wang 1, Yi Zhang2 , Lingyan Chen3, Chenxi He4 1Jiaxing Vocational and Technical College, Jiaxing, China * Correspondence: [email protected] https://doi.org/10.63138/irp010206 Abstract: In recent years, with the globalization of the world economy and the vigorous development […]
Author: interrp
Research on Congestion Prediction for High-Density Crowd Scenes
Article Research on Congestion Prediction for High-Density Crowd Scenes Yanan liu1, Fang Wu1, Di Zhou2,*, Fanjie Zong1, Yu wang1, Lei Zhou3, Jingyuan Chen4 and Yong Ding5 1School of Information Technology and Artificial Intelligence, Zhejiang University of Finance ＆ Economics, Hangzhou, 310018, China; 2Zhejiang Uniview Technologies Co.,Ltd, Hangzhou, 310051, China; 3Huaxin College of Hebei Geo University, […]
Analysis of Interprovincial Agricultural Carbon Transfer Association Network in China Based on MRIO Model
Article Analysis of Interprovincial Agricultural Carbon Transfer Association Network in China Based on MRIO Model Yun Liu 1, Jiawen Shao 2, Lei Zhou 3, Yu Wang 1, Yuke Xu 1, Jingyuan Chen 4, and Yanan Liu *,1 1School of Information Technology and Artificial Intelligence, Zhejiang University of Finance & Economics, Hangzhou, 310018, China; 2Law School, Zhejiang University of Finance & Economics, Hangzhou, 310018, China; 3Huaxin College of Hebei Geo University, Shijiazhang, 050700, China; […]
Investigating Spatial Spillover Effects of Urban Carbon Emission Intensity under Low-Carbon Transition: Evidence from Chinese Cities
Investigating Spatial Spillover Effects of Urban Carbon Emission Intensity under Low-Carbon Transition: Evidence from Chinese Cities Yanan Liu1, Jingbin Liu1, Di Zhou2,* ,Yuhang Ren1, Enjun Zhu1 and Yong Ding3 1 School of Information Technology & Artificial Intelligence, Zhejiang University of Finance & Economics, Hangzhou, 310018, China ; 2 Zhejiang Uniview Technologies Co.,Ltd, Hangzhou, 310051, China ; 3 College of Integrated Circuits, […]
Artificial Intelligence Safety: A Technical Perspective
Article Artificial Intelligence Safety: A Technical Perspective https://doi.org/10.63138/irp010202 Yunuo Yang 1 *, Jingyi Feng1 ，Jiakang Wang1 and Jiangtao Li1 1Jiaxing Vocational and Technical College; [email protected] * Correspondence: [email protected]; Abstract: Artificial intelligence (AI) has become a transformative force across industries, but its increasing adoption raises significant concerns about safety and reliability. This paper examines AI safety from a technical perspective, exploring potential […]
Safety Analysis of Artifcial Intelligence in Autonomous Driving Systems
Safety Analysis of Artifcial Intelligence in Autonomous Driving Systems https://doi.org/10.63138/irp010201 Yunuo Yang 1 *, Jingyi Feng1 ，Jiakang Wang1 and Jiangtao Li1 1Jiaxing Vocational and Technical College; [email protected] ; *Correspondence: [email protected]; Tel.: +86 17357370151 ; Abstract: Autonomous driving systems, powered by artificial intelligence (AI), have revolutionized modern transportation by improving efficiency, reducing human errors, and enabling […]
A Cloud Computing Communication Network Security Transmission Control Method Based on Long Short-Term Memory Network
Kun Ma*1,2, Chuangyue Hu1 and Yuzhi Zhang2 1 Jiaxing Yangtze Delta Region Blockchain Technology, Jiaxing, China 2 College of software, Nankai University, Tianjin, China; * Correspondence: [email protected] Abstract: With the rapid development of cloud computing communication networks, issues such as limited resources and insufficient processing capabilities make it difficult to ensure the security of data […]
A Cloud-Based Cartographer Framework for Robotic Navigation
Cartographer technology, a sophisticated method in the Simultaneous Localization and Mapping (SLAM) field, employs advanced laser and visual data fusion for accurate robot mapping and localization. Traditionally, Cartographer implementations have depended heavily on the robot’s own computing resources, often leading to computational delays and inefficient resource use. This paper introduced a novel cloud-based Cartographer framework, inspired by cloud robotics architecture, which aims to improve the efficiency of Cartographer across various robotic applications, significantly reducing computational demands and enhancing robot energy efficiency. Furthermore, the framework includes a hash elimination technique to boost data efficiency and increase overall energy savings. Experimental validations show that this framework significantly enhances the processing speed of Cartographer on cloud computing platforms, reduces robots’ energy consumption, and optimizes data transmission.