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Copyright of Taiwan Law Review is the property of Angle Publishing Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A lightweight parking wedge was developed from the three aspects, including structure, materials, and technology based on the requirements of laws and regulations as well as the actual demand for automobile lightweight, and the resulting product was tested and analyzed from its performance to the whole vehicle according to the technical requirements. The results indicated that the developed parking wedge met the requirement of all the tests specified through adopting a cylindrical hollow structure and using the PP-matrix composite containing 30 wt % glass fiber. Its weight was only 0.98 kg, indicating a significant weight reduction effect compared to the original rubber and metal parking wedge, together with good economy and good environmental protection. [ABSTRACT FROM AUTHOR]

Copyright of Public Art is the property of Shanghai Fine Arts Publisher Ltd. co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The existing studies concerning walkability mainly focus on the characteristics of the built environment that could encourage walking. However, few discussions have been reported regarding the influence of the street environment on walking experiences. In this study, a walking environmental assessment method was proposed, involving the nine indexes of crossing facilities, street planting, building aspect ratio, street furniture, isolation for non-motor vehicles, width of the sidewalk, illegal parking, sidewalk disrepair, and bike-exclusive lanes. This method was applied to evaluate the walking environment of 12740 city streets in 71 urban vitality centres of 50 typical Chinese cities by combining street images and virtual audits. In addition, the practical problems, causes, and strategies behind the scores were analyzed. The empirical results validate the feasibility of the proposed method in revealing problems of the walking environment in Chinese cities. Research conclusions provide suggestions to refine urban planning and management of non-motorized traffic systems in cities. [ABSTRACT FROM AUTHOR]

At present, the detection of road violation event is based on the artificially selected area under the fixed camera for object detection. However, the artificially selection area has a heavy workload, and as the camera rotates, these area will be invalid. Aiming at this problem, this paper first proposed a method of violation detection combining object detection and semantic segmentation. Firstly, this paper used the transfer learning, multi-stage training schedule to train the Faster R-CNN model to extract the categories of the shared bicycles and the bounding boxes position information. Then this paper used group normalization to modify the semantic segmentation DeepLab v3 + network model, improved the model precision of training under small batch size, and obtained the semantic and regional information of the road scene. Finally combining two parts of the information to determine whether the sharing bicycle was illegally parked according to the proportion of different road areas in the bicycle detection bounding boxes. The experimental results show that the mAP of the sharing bicycle detection is 72. 36%, and detection accuracy of the sharing bicycles illegal parking is 89. 11 %, which can be applied to the actual road monitoring environment. [ABSTRACT FROM AUTHOR]