Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00043
Veno Ivankovic, Zeshun Shi, Zhi-Gang Zhao
Blockchain technology has been utilized in many business cases due to its capability for the development of trustless systems. There is a huge potential for building service marketplaces on top of blockchain technology as decentralized applications (dApps). In such dApps, the point is to exchange and purchase assets and record these transactions on the blockchain to improve the transparency and trust of the marketplace. This work presents a software framework and describes the software prototype implementation, which allows for the provisioning of services on a dApp. The interactions between providers and customers involved in the procurement of services traded on the marketplace are recorded on a distributed ledger. In our dApp, services are provisioned via a configurable auctioning subsystem. Furthermore, after an auction for a service is finished, a Service Level Agreement (SLA) is finalized between a provider and customer. We include a decentralized witness monitoring subsystem to detect Service Level Objective (SLO) violations on this SLA, and witnesses participating in SLA monitoring earn token rewards for their service. Finally, we demonstrate the feasibility of our prototype using state-of-the-art smart contract testing methods.
{"title":"A Customizable dApp Framework for User Interactions in Decentralized Service Marketplaces","authors":"Veno Ivankovic, Zeshun Shi, Zhi-Gang Zhao","doi":"10.1109/SmartIoT55134.2022.00043","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00043","url":null,"abstract":"Blockchain technology has been utilized in many business cases due to its capability for the development of trustless systems. There is a huge potential for building service marketplaces on top of blockchain technology as decentralized applications (dApps). In such dApps, the point is to exchange and purchase assets and record these transactions on the blockchain to improve the transparency and trust of the marketplace. This work presents a software framework and describes the software prototype implementation, which allows for the provisioning of services on a dApp. The interactions between providers and customers involved in the procurement of services traded on the marketplace are recorded on a distributed ledger. In our dApp, services are provisioned via a configurable auctioning subsystem. Furthermore, after an auction for a service is finished, a Service Level Agreement (SLA) is finalized between a provider and customer. We include a decentralized witness monitoring subsystem to detect Service Level Objective (SLO) violations on this SLA, and witnesses participating in SLA monitoring earn token rewards for their service. Finally, we demonstrate the feasibility of our prototype using state-of-the-art smart contract testing methods.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007864","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00038
Jianlong Zhang, Xincheng Yu, Bin Wang, Chen Chen
In order to solve the problem of semantic entanglement in generated image latent space of the StyleGAN2 network, we propose an unsupervised generated image editing method based on a multi-scale hierarchical disentanglement network structure. In our method, we first combine the mapping layer with the style mapping layer of each resolution branch in the StyleGAN2 network, and utilize the weight matrix eigen decomposition method at each scale independently to achieve the first-level disentanglement of image attributes and obtain the semantic direction vector of the scale. Then, we use Schmidt orthogonal decomposition based on the adjacent scale eigen vector to achieve the second-level disentanglement of image attributes. The result show that, compared with other mainstream unsupervised image editing methods, our method can achieve precise image editing at multiple scales, and the measurement of disentanglement between each attribute has also reached the best.
{"title":"Unsupervised Generated Image Editing Method Based on Multi-Scale Hierarchical Disentanglement","authors":"Jianlong Zhang, Xincheng Yu, Bin Wang, Chen Chen","doi":"10.1109/SmartIoT55134.2022.00038","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00038","url":null,"abstract":"In order to solve the problem of semantic entanglement in generated image latent space of the StyleGAN2 network, we propose an unsupervised generated image editing method based on a multi-scale hierarchical disentanglement network structure. In our method, we first combine the mapping layer with the style mapping layer of each resolution branch in the StyleGAN2 network, and utilize the weight matrix eigen decomposition method at each scale independently to achieve the first-level disentanglement of image attributes and obtain the semantic direction vector of the scale. Then, we use Schmidt orthogonal decomposition based on the adjacent scale eigen vector to achieve the second-level disentanglement of image attributes. The result show that, compared with other mainstream unsupervised image editing methods, our method can achieve precise image editing at multiple scales, and the measurement of disentanglement between each attribute has also reached the best.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126172098","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00050
Yao-Chung Chang, Yi-Wei Ma, Jiann-Liang Chen
The fifth-generation network increases the speed of data transmission by providing more bandwidth than in the past. The larger bandwidth also increases the number of device connections in a same size area. However, people may be concentrated in a specific area for various reasons. This can easily cause the base station load to become heavy. If the connected device exceeds the load that the base station can accommodate, it will affect the connection efficiency and transmission quality. Therefore, this study proposes a mobile load balancing system architecture based on macro cell and small cell hybrid networks, which is used to implement an effective load balancing to maximize the load capacity of the overall network.
{"title":"A High-Efficiency Mobility Load Balancing System Architecture for Hybrid Mobile Cell Network","authors":"Yao-Chung Chang, Yi-Wei Ma, Jiann-Liang Chen","doi":"10.1109/SmartIoT55134.2022.00050","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00050","url":null,"abstract":"The fifth-generation network increases the speed of data transmission by providing more bandwidth than in the past. The larger bandwidth also increases the number of device connections in a same size area. However, people may be concentrated in a specific area for various reasons. This can easily cause the base station load to become heavy. If the connected device exceeds the load that the base station can accommodate, it will affect the connection efficiency and transmission quality. Therefore, this study proposes a mobile load balancing system architecture based on macro cell and small cell hybrid networks, which is used to implement an effective load balancing to maximize the load capacity of the overall network.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282539","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00018
Weifeng Sun, Bowei Zhang, Jianqiao Ding, Min Tang
Industrial control network security is undoubtedly important for an industrial control system. Fuzzy testing is an important method to detect network protocol program security vulnerabilities. In order to perform protocol fuzzing effectively, test data must be generated under the guidance of protocol forma, and the protocol needs to be analyzed before the fuzzy test to generate high-quality fuzzy test cases. In this article, we propose a fuzzy testing framework called MaskFuzzer to solve the problems. A generation adversarial network model is used to automatically learn the data structure of system communication, to generate false messages conforming to protocol specifications. In order to prove the availability of our method, we used MaskFuzzer to test the Modbus-Tcpemulator and successfully find some vulnerabilities. In addition, compared with the GAN-based test case generation method and Peach, our method is best.
{"title":"MaskFuzzer: A MaskGAN-based Industrial Control Protocol Fuzz Testing Framework","authors":"Weifeng Sun, Bowei Zhang, Jianqiao Ding, Min Tang","doi":"10.1109/SmartIoT55134.2022.00018","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00018","url":null,"abstract":"Industrial control network security is undoubtedly important for an industrial control system. Fuzzy testing is an important method to detect network protocol program security vulnerabilities. In order to perform protocol fuzzing effectively, test data must be generated under the guidance of protocol forma, and the protocol needs to be analyzed before the fuzzy test to generate high-quality fuzzy test cases. In this article, we propose a fuzzy testing framework called MaskFuzzer to solve the problems. A generation adversarial network model is used to automatically learn the data structure of system communication, to generate false messages conforming to protocol specifications. In order to prove the availability of our method, we used MaskFuzzer to test the Modbus-Tcpemulator and successfully find some vulnerabilities. In addition, compared with the GAN-based test case generation method and Peach, our method is best.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004770","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00033
Zhengzhuo Han, Ning Lv, Xiaojian Ai, Yang Zhou, Jiange Jiang, Chen Chen
Water level monitoring based on water gauge is a very widely used way because of its cheapness and portability. However, the insufficiency and low quality of water gauge images restrict the performance of water level measuring task based on deep learning methods such as object detection and semantic segmentation. In this article, we proposed a generative adversarial network (GAN) named Contextual adjustment GAN (CA-GAN) for data augmentation of water gauge images obtained from Wuyuan, Jiangxi Province in China, i.e. CA-GAN can generate high-quality images containing various scales and types water gauge, which provide image data for application such as deep-learning based water level measuring method. First, a improved downsampling module is designed with the help of segmentation map for the semantic activation modulation. Then, the Unet++ structure with the improved downsampling module is applied in the generator. Finally, to modulate the semantic relationship, a contextual adjustment scheme is de-signed between adjacent layers. This article conducts detailed experiments, proving that the improved downsampling module contributes to the maintenance of semantic information of water gauge images. It is illustrated that the water gauge images generated by CA-GAN have higher quality comparing with other three GAN models. And our method is expected to promote the water level measurement and hydrological monitoring application development.
{"title":"Water Gauge Image Augmentation based on Generative Adversarial Network","authors":"Zhengzhuo Han, Ning Lv, Xiaojian Ai, Yang Zhou, Jiange Jiang, Chen Chen","doi":"10.1109/SmartIoT55134.2022.00033","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00033","url":null,"abstract":"Water level monitoring based on water gauge is a very widely used way because of its cheapness and portability. However, the insufficiency and low quality of water gauge images restrict the performance of water level measuring task based on deep learning methods such as object detection and semantic segmentation. In this article, we proposed a generative adversarial network (GAN) named Contextual adjustment GAN (CA-GAN) for data augmentation of water gauge images obtained from Wuyuan, Jiangxi Province in China, i.e. CA-GAN can generate high-quality images containing various scales and types water gauge, which provide image data for application such as deep-learning based water level measuring method. First, a improved downsampling module is designed with the help of segmentation map for the semantic activation modulation. Then, the Unet++ structure with the improved downsampling module is applied in the generator. Finally, to modulate the semantic relationship, a contextual adjustment scheme is de-signed between adjacent layers. This article conducts detailed experiments, proving that the improved downsampling module contributes to the maintenance of semantic information of water gauge images. It is illustrated that the water gauge images generated by CA-GAN have higher quality comparing with other three GAN models. And our method is expected to promote the water level measurement and hydrological monitoring application development.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123963836","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00046
B. Dong
Due to impact for Coronavirus, Automotive industry faced challenges from global supply chain. Localization and De-globalization topic become more and more important. Automotive component purchasing strategy will be focused on localization. Target to keep whole supply chain safety and reduce additional risk and cost.
{"title":"Automotive Components Localization and De-globalization Purchasing Strategy","authors":"B. Dong","doi":"10.1109/SmartIoT55134.2022.00046","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00046","url":null,"abstract":"Due to impact for Coronavirus, Automotive industry faced challenges from global supply chain. Localization and De-globalization topic become more and more important. Automotive component purchasing strategy will be focused on localization. Target to keep whole supply chain safety and reduce additional risk and cost.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116512451","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00030
Victor Hugo Valencia-Ramos, Wilson Leonardo Reategui-Pelaez, Hugo Eladio Chumpitaz-Caycho, Franklin Cordova-Buiza
Its main objective was: To determine how the automation system based on renewable energies affects the cultivation of an orchard. The type of research was applied, the design was pre-experimental, the level was explanatory. Record cards were used as instruments for the pretest and posttest; the results obtained show that automation contributespositively to the cultivation of orchards, and that it is alsoessential to update the agricultural and planting procedures. It is concluded that the automation system based on renewable energies for the cultivation of an orchard allows the incorporation of tools as part of the daily routine, generating more production and avoiding the repetition of alreadyprogrammed tasks, as well as managing the environmental measures of the orchard.
{"title":"Automation system based on renewable energies for the cultivation of an orchard","authors":"Victor Hugo Valencia-Ramos, Wilson Leonardo Reategui-Pelaez, Hugo Eladio Chumpitaz-Caycho, Franklin Cordova-Buiza","doi":"10.1109/SmartIoT55134.2022.00030","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00030","url":null,"abstract":"Its main objective was: To determine how the automation system based on renewable energies affects the cultivation of an orchard. The type of research was applied, the design was pre-experimental, the level was explanatory. Record cards were used as instruments for the pretest and posttest; the results obtained show that automation contributespositively to the cultivation of orchards, and that it is alsoessential to update the agricultural and planting procedures. It is concluded that the automation system based on renewable energies for the cultivation of an orchard allows the incorporation of tools as part of the daily routine, generating more production and avoiding the repetition of alreadyprogrammed tasks, as well as managing the environmental measures of the orchard.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128942126","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}
Pub Date : 2022-08-01DOI: 10.1109/smartiot55134.2022.00006
{"title":"Welcome Message from the TPC Chairs","authors":"","doi":"10.1109/smartiot55134.2022.00006","DOIUrl":"https://doi.org/10.1109/smartiot55134.2022.00006","url":null,"abstract":"","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131010499","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00045
Zihang Yin, Yang Liu, Yongqiang Yang, Cheng Chi
The existing tobacco traceability systems ignore the environmental factors that affect the quality of tobacco in the whole supply chain, and the authenticity of the information is difficult to guarantee. Therefore, it is necessary to establish a trusted traceability system for tobacco to ensure the product quality and improve consumer satisfaction. Based on blockchain and radio frequency identification (RFID) technology, this paper models a tobacco traceability system, focusing on the traceability of environmental data in the entire tobacco supply chain. Using the RFID and blockchain technology, we build the traceable coding architecture and traceability mechanism for the tobacco supply chain, and upload trusted data to the blockchain, thus ensuring the authenticity and accuracy of data in the entire supply chain process.
{"title":"Modeling Tobacco Traceability System Based on Blockchain and RFID Technologies","authors":"Zihang Yin, Yang Liu, Yongqiang Yang, Cheng Chi","doi":"10.1109/SmartIoT55134.2022.00045","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00045","url":null,"abstract":"The existing tobacco traceability systems ignore the environmental factors that affect the quality of tobacco in the whole supply chain, and the authenticity of the information is difficult to guarantee. Therefore, it is necessary to establish a trusted traceability system for tobacco to ensure the product quality and improve consumer satisfaction. Based on blockchain and radio frequency identification (RFID) technology, this paper models a tobacco traceability system, focusing on the traceability of environmental data in the entire tobacco supply chain. Using the RFID and blockchain technology, we build the traceable coding architecture and traceability mechanism for the tobacco supply chain, and upload trusted data to the blockchain, thus ensuring the authenticity and accuracy of data in the entire supply chain process.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123218922","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}
Pub Date : 2022-08-01DOI: 10.1109/SmartIoT55134.2022.00011
Nithya Yamasinghe, Yohan Ranasinghe, Yasmika Dissanayake, J. Wijekoon, R. Panchendrarajan
COVID-19 has become a global health concern, and wearing masks is a key measure to curb COVID-19 from rapidly spreading. While COVID-19 patients can be accurately determined using Rapid Antigen and PCR tests, these tests are costly, time-consuming, invasive, and uncomfortable. Further, they should be performed in a specialized environment despite showing the COVID-19 symptoms such as fever, cough, rapid heart rate, shortness of breath, and low blood oxygen saturation level. To this end, this study aims to automatically identify, and track the COVID-19 suspects in real-time by embedding smart sensors to face masks. The mask was developed to gather the data related to five major symptoms of COVID-19: body temperature, cough, heart rate, breathing pattern, and blood oxygen level. Data collected using smart sensors were used to identify and track COVID-19 suspects using Deep Neural Networks, the Internet of Things (IoT), and Artificial Intelligence (AI). Yielded results showed the proposed mask can identify COVID-19 suspects 92% accurately.
{"title":"iMask: An IoT-based Intelligent Mask to Identify and Track COVID-19 Suspects","authors":"Nithya Yamasinghe, Yohan Ranasinghe, Yasmika Dissanayake, J. Wijekoon, R. Panchendrarajan","doi":"10.1109/SmartIoT55134.2022.00011","DOIUrl":"https://doi.org/10.1109/SmartIoT55134.2022.00011","url":null,"abstract":"COVID-19 has become a global health concern, and wearing masks is a key measure to curb COVID-19 from rapidly spreading. While COVID-19 patients can be accurately determined using Rapid Antigen and PCR tests, these tests are costly, time-consuming, invasive, and uncomfortable. Further, they should be performed in a specialized environment despite showing the COVID-19 symptoms such as fever, cough, rapid heart rate, shortness of breath, and low blood oxygen saturation level. To this end, this study aims to automatically identify, and track the COVID-19 suspects in real-time by embedding smart sensors to face masks. The mask was developed to gather the data related to five major symptoms of COVID-19: body temperature, cough, heart rate, breathing pattern, and blood oxygen level. Data collected using smart sensors were used to identify and track COVID-19 suspects using Deep Neural Networks, the Internet of Things (IoT), and Artificial Intelligence (AI). Yielded results showed the proposed mask can identify COVID-19 suspects 92% accurately.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122323852","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：