{"title":"Permutation of Image Encryption System Based on Block Cipher and Stream Cipher Encryption Algorithm","authors":"Chunguang Huang, Hai Cheng, Yu Song, Q. Ding","doi":"10.1109/RVSP.2015.46","DOIUrl":"https://doi.org/10.1109/RVSP.2015.46","url":null,"abstract":"","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"76 1","pages":"163-166"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76082933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jheng-Syu Jhou, Shih-Huang Chen, Wu-Der Tsay, M. Lai
This paper implemented a cloud computation based second generation on-board diagnostic (OBD-II) system. The proposed system is integrated with OBD-II, 3.5G wireless network, and cloud computing technologies. It can perform real-time vehicle status surveillance. The monitored features cover engine rpm, vehicle speed, coolant temperature, fault codes, and other vehicle dynamics information. The vehicle information will be transmitted to the cloud computing server via 3.5G wireless network for fault analysis. Once cloud computing server detects fault conditions, the proposed system could classify the fault conditions depended on vehicle type and its model year. Then the cloud computing server will report the fault code analysis results to the user and provide the description about repair procedure. The proposed system will greatly shorten the time to detect vehicle trouble condition. The system presented in this thesis has a very high value in the applications of vehicle maintenance and fleet management.
{"title":"The Implementation of OBD-II Vehicle Diagnosis System Integrated with Cloud Computation Technology","authors":"Jheng-Syu Jhou, Shih-Huang Chen, Wu-Der Tsay, M. Lai","doi":"10.1109/RVSP.2013.55","DOIUrl":"https://doi.org/10.1109/RVSP.2013.55","url":null,"abstract":"This paper implemented a cloud computation based second generation on-board diagnostic (OBD-II) system. The proposed system is integrated with OBD-II, 3.5G wireless network, and cloud computing technologies. It can perform real-time vehicle status surveillance. The monitored features cover engine rpm, vehicle speed, coolant temperature, fault codes, and other vehicle dynamics information. The vehicle information will be transmitted to the cloud computing server via 3.5G wireless network for fault analysis. Once cloud computing server detects fault conditions, the proposed system could classify the fault conditions depended on vehicle type and its model year. Then the cloud computing server will report the fault code analysis results to the user and provide the description about repair procedure. The proposed system will greatly shorten the time to detect vehicle trouble condition. The system presented in this thesis has a very high value in the applications of vehicle maintenance and fleet management.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"23 1","pages":"9-12"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84386886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper deals with an optimal landing motion of a 4-link legged robot that minimizes the impact force at the contact point and the joint torques necessary during the motion. The cost function for optimization is given as the weighted sum of the one for impact force and the one for joint torques. While the configuration where the leg is bent is advantageous in reducing the impact force, the configuration that is close to a singular configuration is advantageous in minimizing the joint torques. It is shown by numerical optimization results with different weights for the cost function.
{"title":"Landing Motion of a Legged Robot with Impact Force Reduction and Joint Torque Minimization","authors":"Xianglong Wan, T. Urakubo, Y. Tada","doi":"10.1109/RVSP.2013.65","DOIUrl":"https://doi.org/10.1109/RVSP.2013.65","url":null,"abstract":"This paper deals with an optimal landing motion of a 4-link legged robot that minimizes the impact force at the contact point and the joint torques necessary during the motion. The cost function for optimization is given as the weighted sum of the one for impact force and the one for joint torques. While the configuration where the leg is bent is advantageous in reducing the impact force, the configuration that is close to a singular configuration is advantageous in minimizing the joint torques. It is shown by numerical optimization results with different weights for the cost function.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"4 1","pages":"259-264"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85470265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shohei Tada, Syoji Kobashi, Kei Kuramoto, Fumiaki Imamura, Takatoshi Morooka, S. Yoshiya, Y. Hata
Total knee arthroplasty (TKA) is an orthopedic surgery which replaces the damaged knee joint with the artificial one. To diagnose the function of the implanted knee joint, it is effective to estimate 3-D knee kinematics in vivo. There are some conventional methods for estimating kinematics of the implanted knee using 2-D/3-D image registration for X-ray fluoroscopic images and 3-D geometrical models of the knee implant. This paper proposes a method for analyzing knee kinematics based on particle filter which became high precision using priori knowledge. The experimental results showed that the proposed method left the grade that was better than non-priori-knowledge method.
{"title":"On A Priori Knowledge in Particle Filter for In-Vivo Analysis of Implanted Knee","authors":"Shohei Tada, Syoji Kobashi, Kei Kuramoto, Fumiaki Imamura, Takatoshi Morooka, S. Yoshiya, Y. Hata","doi":"10.1109/RVSP.2013.46","DOIUrl":"https://doi.org/10.1109/RVSP.2013.46","url":null,"abstract":"Total knee arthroplasty (TKA) is an orthopedic surgery which replaces the damaged knee joint with the artificial one. To diagnose the function of the implanted knee joint, it is effective to estimate 3-D knee kinematics in vivo. There are some conventional methods for estimating kinematics of the implanted knee using 2-D/3-D image registration for X-ray fluoroscopic images and 3-D geometrical models of the knee implant. This paper proposes a method for analyzing knee kinematics based on particle filter which became high precision using priori knowledge. The experimental results showed that the proposed method left the grade that was better than non-priori-knowledge method.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"127 1","pages":"168-171"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77764574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Compressive sensing is a signal processing technique that takes advantage of signal sparseness in some domain. To use compressive sensing, a domain in which the signal is represented as a few significant coefficients should be defined. If the proper domain is identified as a set of basis vectors, the coefficients are the projections of the signal on the basis vectors. This is typically a transformation from the original signal space to a lower dimensional signal space. To reverse the transformation, we need to solve an underdetermined linear system. Natural signals such as images and videos are sparse. Therefore, many researches apply compressive sensing as image compression method. Single-pixel camera is one of the interesting topics. It sequentially measures the voltages from the photodiode as the transformed coefficients. The sensing matrix is implemented by a digital micro-mirror device, and can be easily configured using a pseudo random number generator. In this paper, we performed a few experiments based on the algorithms of single-pixel camera. We are interested in the effects of different random basis. Hence, sensing matrices constructed by different random number generators are experimented and discussed.
{"title":"Comparison on Different Random Basis Generator of a Single-Pixel Camera","authors":"Feng-Cheng Chang, Hsiang-Cheh Huang","doi":"10.1109/RVSP.2013.8","DOIUrl":"https://doi.org/10.1109/RVSP.2013.8","url":null,"abstract":"Compressive sensing is a signal processing technique that takes advantage of signal sparseness in some domain. To use compressive sensing, a domain in which the signal is represented as a few significant coefficients should be defined. If the proper domain is identified as a set of basis vectors, the coefficients are the projections of the signal on the basis vectors. This is typically a transformation from the original signal space to a lower dimensional signal space. To reverse the transformation, we need to solve an underdetermined linear system. Natural signals such as images and videos are sparse. Therefore, many researches apply compressive sensing as image compression method. Single-pixel camera is one of the interesting topics. It sequentially measures the voltages from the photodiode as the transformed coefficients. The sensing matrix is implemented by a digital micro-mirror device, and can be easily configured using a pseudo random number generator. In this paper, we performed a few experiments based on the algorithms of single-pixel camera. We are interested in the effects of different random basis. Hence, sensing matrices constructed by different random number generators are experimented and discussed.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80449878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Trong-The Nguyen, Chin-Shiuh Shieh, Thi-Kien Dao, Jaw-Shyang Wu, Wu-Chih Hu
Adequate clustering provides an effective way for prolonging the lifetime of a wireless sensor network (WSN). Most proposed clustering algorithms do not consider the location of the base station. This will lead to the hot spots problem in multi-hop WSNs. In this paper, a fuzzy clustering topology is employed to prolong the lifetime of WSNs. Considering the residual energy, the distances to the base station and influence of neighboring parameters of the sensor nodes, the cluster-head radius are adjusted by fuzzy clustering topology. This helps to decrease the intra-cluster traffic load of sensor nodes closer to the base station or having lower battery level. The uncertainties in the estimation of cluster-head radius are handled by fuzzy logic. Our approach is compared with some popular algorithms in literature, including LEACH, Gupta and CHEF. Our approach performs in various performance metrics, such as First Node Dies (FND), Half of the Nodes Alive (HNA), Last Node Dies (LND) and energy-efficiency metrics. Simulation results show that the proposed method performs better than the other algorithms, up to 54% in certain cases. Therefore, this method is a stable and energy-efficient clustering algorithm can be applied to any real-world WSN applications.
{"title":"Prolonging of the Network Lifetime of WSN Using Fuzzy Clustering Topology","authors":"Trong-The Nguyen, Chin-Shiuh Shieh, Thi-Kien Dao, Jaw-Shyang Wu, Wu-Chih Hu","doi":"10.1109/RVSP.2013.10","DOIUrl":"https://doi.org/10.1109/RVSP.2013.10","url":null,"abstract":"Adequate clustering provides an effective way for prolonging the lifetime of a wireless sensor network (WSN). Most proposed clustering algorithms do not consider the location of the base station. This will lead to the hot spots problem in multi-hop WSNs. In this paper, a fuzzy clustering topology is employed to prolong the lifetime of WSNs. Considering the residual energy, the distances to the base station and influence of neighboring parameters of the sensor nodes, the cluster-head radius are adjusted by fuzzy clustering topology. This helps to decrease the intra-cluster traffic load of sensor nodes closer to the base station or having lower battery level. The uncertainties in the estimation of cluster-head radius are handled by fuzzy logic. Our approach is compared with some popular algorithms in literature, including LEACH, Gupta and CHEF. Our approach performs in various performance metrics, such as First Node Dies (FND), Half of the Nodes Alive (HNA), Last Node Dies (LND) and energy-efficiency metrics. Simulation results show that the proposed method performs better than the other algorithms, up to 54% in certain cases. Therefore, this method is a stable and energy-efficient clustering algorithm can be applied to any real-world WSN applications.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"14 1","pages":"13-16"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86610247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Taiwan is going to start 12-year compulsory education in 2014, so education strategies once again become an important issue for research and discussion. The current study used the web-based cooperative learning with Windows Live as a teaching strategy to teach Mathematics course in a junior high school in Taiwan. The subjects, 3 classes of first-year students, were divided into experimental group and control group based on the average scores of their previous tests. For 12 weeks, the experimental group received experimental instruction with Windows Live, while the control group was taught with traditional teaching method. Pre-test and post-test of learning achievement were conducted on both groups, and an additional questionnaire was answered by the experimental group. The data from this study, analyzed by ANCOVA, showed that the group receiving Windows Live web-based cooperative learning obtained significantly higher achievement than the group learning with traditional teaching method. The research result thus indicates that Windows Live web-based cooperative learning is an effective teaching strategy in enhancing students' achievement.
{"title":"Effect of Applying Social Networking to Mathematics Course for Junior High School Students","authors":"Yuh-Ming Cheng, S. Kuo, T. Hsin, Yinxia Wei","doi":"10.1109/RVSP.2013.38","DOIUrl":"https://doi.org/10.1109/RVSP.2013.38","url":null,"abstract":"Taiwan is going to start 12-year compulsory education in 2014, so education strategies once again become an important issue for research and discussion. The current study used the web-based cooperative learning with Windows Live as a teaching strategy to teach Mathematics course in a junior high school in Taiwan. The subjects, 3 classes of first-year students, were divided into experimental group and control group based on the average scores of their previous tests. For 12 weeks, the experimental group received experimental instruction with Windows Live, while the control group was taught with traditional teaching method. Pre-test and post-test of learning achievement were conducted on both groups, and an additional questionnaire was answered by the experimental group. The data from this study, analyzed by ANCOVA, showed that the group receiving Windows Live web-based cooperative learning obtained significantly higher achievement than the group learning with traditional teaching method. The research result thus indicates that Windows Live web-based cooperative learning is an effective teaching strategy in enhancing students' achievement.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"8 1","pages":"137-140"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84741221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study was to explore different cognitive styles of learning effects in PBL animation courses. This study used qualitative and quantitative research methods mixed in 12-week experimental learning courses. Also the teaching method was designed and based on both problem-based and project-based learning (PBL) approach, providing students with online learning, discussing, and sharing environment. In addition, in the end of course each group will complete a group project. At the beginning of the first class, a standardized test called "Groups Embedded Figure Test(GEFT)" was implemented to understand student's cognitive style. During the teaching period, student's learning process was recorded along with teacher's own reflection. The results of this study are as follows: Although no significant differences of learning effects between different cognitive styles, but there is a significant impact on student's work style. Also, the analysis of group projects shows that field-independent students can integrate more strategies in problem solving to complete group project than field-dependent students.
本研究旨在探讨不同认知风格在PBL动画课程中的学习效果。本研究采用定性与定量相结合的研究方法，在为期12周的实验学习课程中进行。设计了基于PBL (problem-based and project-based learning)的教学方法，为学生提供在线学习、讨论和分享的环境。此外，在课程结束时，每个小组将完成一个小组项目。在第一堂课开始时，我们实施了一个标准化的测试，叫做“小组嵌入图测试”(GEFT)，以了解学生的认知风格。在教学过程中，记录了学生的学习过程，同时也记录了教师的反思。本研究的结果如下:虽然不同认知风格之间的学习效果没有显著差异，但对学生的工作风格有显著影响。此外，对小组项目的分析也显示，独立学生比独立学生能够整合更多的问题解决策略来完成小组项目。
{"title":"A Study of Learning Effects in Different Cognitive Styles in PBL Animation Course","authors":"Yuan-Chang Guo, Shi-Jer Lou","doi":"10.1109/RVSP.2013.42","DOIUrl":"https://doi.org/10.1109/RVSP.2013.42","url":null,"abstract":"The purpose of this study was to explore different cognitive styles of learning effects in PBL animation courses. This study used qualitative and quantitative research methods mixed in 12-week experimental learning courses. Also the teaching method was designed and based on both problem-based and project-based learning (PBL) approach, providing students with online learning, discussing, and sharing environment. In addition, in the end of course each group will complete a group project. At the beginning of the first class, a standardized test called \"Groups Embedded Figure Test(GEFT)\" was implemented to understand student's cognitive style. During the teaching period, student's learning process was recorded along with teacher's own reflection. The results of this study are as follows: Although no significant differences of learning effects between different cognitive styles, but there is a significant impact on student's work style. Also, the analysis of group projects shows that field-independent students can integrate more strategies in problem solving to complete group project than field-dependent students.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"92 1","pages":"153-156"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79655503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chang-Tzuoh Wu, M. Shao, Chien-Lung Huang, Chung-Hsien Chen, Tien-Szu Pan
This research focus on developing approach to innovative design problems based on the TRIZ and extension method. The proposed innovative design procedure combines the Su-Field modeling procedure, extension method and Kano-based evaluation model to improve the efficiency and extent of concept evolutions. The extensibility of matter-element helps to transform the descriptions of design problems and solutions more creatively. In this research, we will introduce the Kano model to construct a psychology-based evaluation procedure. Su-field model and concept extension of matter-element have also been introduced into symbolic developments to derive out more creative solutions. This study proposes a flexible and extensible innovative design approach with the help of extension method and Kano-based evaluation model. The bicycle design examples are adopted to explain and verify feasibility of the proposed approach.
{"title":"A Kano-Based Evaluation Model for Extensive Innovation Procedure","authors":"Chang-Tzuoh Wu, M. Shao, Chien-Lung Huang, Chung-Hsien Chen, Tien-Szu Pan","doi":"10.1109/RVSP.2013.48","DOIUrl":"https://doi.org/10.1109/RVSP.2013.48","url":null,"abstract":"This research focus on developing approach to innovative design problems based on the TRIZ and extension method. The proposed innovative design procedure combines the Su-Field modeling procedure, extension method and Kano-based evaluation model to improve the efficiency and extent of concept evolutions. The extensibility of matter-element helps to transform the descriptions of design problems and solutions more creatively. In this research, we will introduce the Kano model to construct a psychology-based evaluation procedure. Su-field model and concept extension of matter-element have also been introduced into symbolic developments to derive out more creative solutions. This study proposes a flexible and extensible innovative design approach with the help of extension method and Kano-based evaluation model. The bicycle design examples are adopted to explain and verify feasibility of the proposed approach.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"82 1","pages":"178-181"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75682144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a collaborative representation based two-phase face recognition method is proposed. In the first phase, the test sample is represented by a linear combination of all the training samples, and then the sum of contributions of each class is calculated. As a consequently, we use the sum of contributions to determine k classes of training sample that have the maximum sum of contributions for the test sample. In the second phase, the test sample is also represented by a linear combination of the k classes of training sample. As a result, we use the representation result of each class to reconstruct the collaborative image of the test sample. Moreover, the face classification is performed by using the similarity measures including structure similarity index measure (SSIM), root mean square (RMS), and similarity assessment value (SAV). The experimental results show that our method outperforms the two-phase test sample representation method (TPTSR).
{"title":"A Collaborative Representation Based Two-Phase Face Recognition Algorithm","authors":"Zhengmin Li, Gaoyuan Liu","doi":"10.1109/RVSP.2013.12","DOIUrl":"https://doi.org/10.1109/RVSP.2013.12","url":null,"abstract":"In this paper, a collaborative representation based two-phase face recognition method is proposed. In the first phase, the test sample is represented by a linear combination of all the training samples, and then the sum of contributions of each class is calculated. As a consequently, we use the sum of contributions to determine k classes of training sample that have the maximum sum of contributions for the test sample. In the second phase, the test sample is also represented by a linear combination of the k classes of training sample. As a result, we use the representation result of each class to reconstruct the collaborative image of the test sample. Moreover, the face classification is performed by using the similarity measures including structure similarity index measure (SSIM), root mean square (RMS), and similarity assessment value (SAV). The experimental results show that our method outperforms the two-phase test sample representation method (TPTSR).","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"23 1","pages":"17-20"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74218913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：