Combining trucks and drones in delivering parcels is an emerging research in recent years. In this paper, we investigate an extension of the TSP-D problem in which a truck travels with m (m > 1) drones (called TSP-mD) instead of one drone in TSP-D. We adapt the greedy randomized adaptive search procedure (GRASP) (proposed by Ha et al.) and propose an adaptive large neighborhood search (ALNS) heuristic to the resolution of this problem. Experimental results on different instances show that by combining a truck with more than one drone, the GRASP can bring more efficient solution. Moreover, the ALNS is more efficient than the GRASP in this context.
{"title":"Traveling Salesman Problem with Multiple Drones","authors":"Phan Anh Tu, N. T. Dat, Pham Quang Dung","doi":"10.1145/3287921.3287932","DOIUrl":"https://doi.org/10.1145/3287921.3287932","url":null,"abstract":"Combining trucks and drones in delivering parcels is an emerging research in recent years. In this paper, we investigate an extension of the TSP-D problem in which a truck travels with m (m > 1) drones (called TSP-mD) instead of one drone in TSP-D. We adapt the greedy randomized adaptive search procedure (GRASP) (proposed by Ha et al.) and propose an adaptive large neighborhood search (ALNS) heuristic to the resolution of this problem. Experimental results on different instances show that by combining a truck with more than one drone, the GRASP can bring more efficient solution. Moreover, the ALNS is more efficient than the GRASP in this context.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128366062","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}
Anh-Tu Ngoc Tran, M. Nguyen, Thanh-Dang Diep, Takuma Nakajima, N. Thoai
Content Delivery Networks managed by Telecommunications companies (Telco-CDNs) can be considered as a solution to significantly reduce traffic by deploying content servers deeper inside the network of Internet Service Provider (ISP), which helps network operators meet the rapid growth of Video-on-Demand (VoD) services. The recent color-based strategy has proven its impressive performance in utilizing simple color tags to effectively distribute contents across such a network. In previous studies, the color-based caching algorithm was proven to be the most practicable technique to reduce traffic in Telco-CDNs. However, all of the experiments were performed on a simulated dataset generated from the gamma distribution. Therefore, the reliability of the results is not high. This work verifies the feasibility of the color-based approach by reproducing the experiments on traces of real accesses at our server. The empirical results on our dataset show that the color-based caching using 4 colors coupled with its routing strategy gives the best performance in most of our cases, among some other variants and the LFU caching approach. As inserting 455 new contents, the hybrid feature helps the color-based approach to improve 8.1% hit rate compared to the single cache area.
{"title":"A Performance Study of Color-Based Cooperative Caching in Telco-CDNs by Using Real Datasets","authors":"Anh-Tu Ngoc Tran, M. Nguyen, Thanh-Dang Diep, Takuma Nakajima, N. Thoai","doi":"10.1145/3287921.3287953","DOIUrl":"https://doi.org/10.1145/3287921.3287953","url":null,"abstract":"Content Delivery Networks managed by Telecommunications companies (Telco-CDNs) can be considered as a solution to significantly reduce traffic by deploying content servers deeper inside the network of Internet Service Provider (ISP), which helps network operators meet the rapid growth of Video-on-Demand (VoD) services. The recent color-based strategy has proven its impressive performance in utilizing simple color tags to effectively distribute contents across such a network. In previous studies, the color-based caching algorithm was proven to be the most practicable technique to reduce traffic in Telco-CDNs. However, all of the experiments were performed on a simulated dataset generated from the gamma distribution. Therefore, the reliability of the results is not high. This work verifies the feasibility of the color-based approach by reproducing the experiments on traces of real accesses at our server. The empirical results on our dataset show that the color-based caching using 4 colors coupled with its routing strategy gives the best performance in most of our cases, among some other variants and the LFU caching approach. As inserting 455 new contents, the hybrid feature helps the color-based approach to improve 8.1% hit rate compared to the single cache area.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380874","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}
Fingerprint recognition is one of the most popular biometric recognition methods nowadays. It is applicable in many areas including time recorder systems, criminal tracking, authentication and system security. However, one of the challenges to current traditional methods is the dependence on the minutiae extraction and recognition time. Hence, the limitations of these methods are that they do not effect to recognition in a large data environment. In addition, the processing of input image is very important for improving the accuracy of the recognition process. MapReduce technique is used in exploring and analyzing of large data that can not be processed on classical techniques due to some constraints on computer resources such as processing capability, memory, etc. We performed parallel processing in feature extraction and recognition with the MapReduce model in a Spark environment. we have also compared the accuracy and the runtime of our method before and after using MapReduce in the Spark. The experimental results show that the proposed method has achieved the automatic and effective fingerprint recognition.
{"title":"Fingerprint Recognition using Gabor wavelet in MapReduce and Spark","authors":"Anh-Cang Phan, Ho-Dat Tran, Thuong-Cang Phan","doi":"10.1145/3287921.3287934","DOIUrl":"https://doi.org/10.1145/3287921.3287934","url":null,"abstract":"Fingerprint recognition is one of the most popular biometric recognition methods nowadays. It is applicable in many areas including time recorder systems, criminal tracking, authentication and system security. However, one of the challenges to current traditional methods is the dependence on the minutiae extraction and recognition time. Hence, the limitations of these methods are that they do not effect to recognition in a large data environment. In addition, the processing of input image is very important for improving the accuracy of the recognition process. MapReduce technique is used in exploring and analyzing of large data that can not be processed on classical techniques due to some constraints on computer resources such as processing capability, memory, etc. We performed parallel processing in feature extraction and recognition with the MapReduce model in a Spark environment. we have also compared the accuracy and the runtime of our method before and after using MapReduce in the Spark. The experimental results show that the proposed method has achieved the automatic and effective fingerprint recognition.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125557714","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}
We investigated whether shoutengai, old shopping districts in Japan, can be revitalized by solving the disparity problem in the number of customers among shoutengai according to their location and by solving the problem of inequality in popularity among the stores in a shoutengai. We developed the "store appeal value", which is unique index of showing the attractiveness of a store and developed a walk rally application based on incentives based on the store appeal value. We investigated whether shoutengai can be revitalized by using our walk rally application. To verify the effectiveness of the proposed application, we conducted a demonstration experiment involving three shoutengai in Shinjuku Ward, Tokyo. By analyzing the behavior logs obtained from the experiment, we clarified that our store appeal value is appropriate. We were also able to show that it is possible to revitalize shoutengai by using our walk rally application, that is, to distribute customers among shoutengai and among stores in a shoutengai.
{"title":"Walk Rally Application for Revitalizing Shopping Areas","authors":"Yuya Ieiri, Reiko Hishiyama, Yuu Nakajima","doi":"10.1145/3287921.3287942","DOIUrl":"https://doi.org/10.1145/3287921.3287942","url":null,"abstract":"We investigated whether shoutengai, old shopping districts in Japan, can be revitalized by solving the disparity problem in the number of customers among shoutengai according to their location and by solving the problem of inequality in popularity among the stores in a shoutengai. We developed the \"store appeal value\", which is unique index of showing the attractiveness of a store and developed a walk rally application based on incentives based on the store appeal value. We investigated whether shoutengai can be revitalized by using our walk rally application. To verify the effectiveness of the proposed application, we conducted a demonstration experiment involving three shoutengai in Shinjuku Ward, Tokyo. By analyzing the behavior logs obtained from the experiment, we clarified that our store appeal value is appropriate. We were also able to show that it is possible to revitalize shoutengai by using our walk rally application, that is, to distribute customers among shoutengai and among stores in a shoutengai.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"648 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123289595","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}
Nhan Ly-Trong, Chuong Dang-Le-Bao, Dang Huynh-Van, Q. Trung
The 21st century is promising to be the era of technology standing out with the thrive of the Internet of Things (IoT). The rapid growth of the IoT leads to an increasingly urgent need of testbed systems. Taking a new step in our long-term research, in this paper, we introduce the third version of our testbed named UiTiOt v3. It is actually a hybrid system which puts virtual wireless nodes together with real physical devices to carry out a variety of IoT experiments. Utilizing the power of the emulation tool, namely QOMET along with the two-layer virtualization based on two state-of-the-art virtualization techniques (Container and OpenStack), our research is towards a large-scale testbed having great advantages in terms of reliability, availability as well as cost-and-effort-effectiveness. After giving details of the overall architectural design, we make a discussion on one typical experiment out of a vast number of test cases we have already done to demonstrate the feasibility and potential of our system.
{"title":"UiTiOt v3: A Hybrid Testbed for Evaluation of Large-Scale IoT Networks","authors":"Nhan Ly-Trong, Chuong Dang-Le-Bao, Dang Huynh-Van, Q. Trung","doi":"10.1145/3287921.3287935","DOIUrl":"https://doi.org/10.1145/3287921.3287935","url":null,"abstract":"The 21st century is promising to be the era of technology standing out with the thrive of the Internet of Things (IoT). The rapid growth of the IoT leads to an increasingly urgent need of testbed systems. Taking a new step in our long-term research, in this paper, we introduce the third version of our testbed named UiTiOt v3. It is actually a hybrid system which puts virtual wireless nodes together with real physical devices to carry out a variety of IoT experiments. Utilizing the power of the emulation tool, namely QOMET along with the two-layer virtualization based on two state-of-the-art virtualization techniques (Container and OpenStack), our research is towards a large-scale testbed having great advantages in terms of reliability, availability as well as cost-and-effort-effectiveness. After giving details of the overall architectural design, we make a discussion on one typical experiment out of a vast number of test cases we have already done to demonstrate the feasibility and potential of our system.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127761019","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}
Tran Hoang Vu, Nghia Hoang Ba Dai, H. Khanh, Do Vo. Quang
Recently, "Smart tourism" has appeared as a new term to describe the application of the technological advancements that rely on sensors, big data processing technique, open data, open API, new way of connecting and exchanging between humans and machines and multi-device (such as IoT, RFID, and NFC) in tourism. When these technologies are utilized, the digital data become practical and valuable products. Besides, the mobile revolution, and specifically the role of the smartphone and its many opportunities to support travel experiences, is especially worth mentioning in this context. In addition, new management tool for the government, new business opportunities for travel agencies, as well as new experiences for tourists are created. Therefore, in this paper, a model for developing sustainable and intelligent tourism is studied and then an overall architecture model of the information system that can provide supporting services and tools for visitor management (Smart Tourism Service Centre -- STSC) is proposed for fostering the smart cities in Vietnam, in general, and Danang, in particular.
{"title":"Overall Structural System Solution for Supporting Services and Tourists Management Oriented on Smart City in Viet Nam","authors":"Tran Hoang Vu, Nghia Hoang Ba Dai, H. Khanh, Do Vo. Quang","doi":"10.1145/3287921.3287966","DOIUrl":"https://doi.org/10.1145/3287921.3287966","url":null,"abstract":"Recently, \"Smart tourism\" has appeared as a new term to describe the application of the technological advancements that rely on sensors, big data processing technique, open data, open API, new way of connecting and exchanging between humans and machines and multi-device (such as IoT, RFID, and NFC) in tourism. When these technologies are utilized, the digital data become practical and valuable products. Besides, the mobile revolution, and specifically the role of the smartphone and its many opportunities to support travel experiences, is especially worth mentioning in this context. In addition, new management tool for the government, new business opportunities for travel agencies, as well as new experiences for tourists are created. Therefore, in this paper, a model for developing sustainable and intelligent tourism is studied and then an overall architecture model of the information system that can provide supporting services and tools for visitor management (Smart Tourism Service Centre -- STSC) is proposed for fostering the smart cities in Vietnam, in general, and Danang, in particular.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133279967","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}
Thao Nguyen Van, Nugroho Fredivianus, Huu Tam Tran, K. Geihs, Thi Thanh Binh Huynh
In multi-agent systems (MAS), plans consisting of sequences of actions are used to accomplish the team task. A critical issue for this approach is avoiding problems such as deadlocks and safety violations. Our recent work addresses that matter by verifying plans composed in a language called ALICA (A Language for Interactive Cooperative Agents) that controls the agents' behavior. The investigation is conducted by creating a translation tool that implements an algorithm for translating ALICA plans into the format used by the real-time model checker UPPAAL. We tested our concept using several cases, and the result is promising to get further insight on multi-agent model checking.
{"title":"Formal Verification of ALICA Multi-agent Plans Using Model Checking","authors":"Thao Nguyen Van, Nugroho Fredivianus, Huu Tam Tran, K. Geihs, Thi Thanh Binh Huynh","doi":"10.1145/3287921.3287947","DOIUrl":"https://doi.org/10.1145/3287921.3287947","url":null,"abstract":"In multi-agent systems (MAS), plans consisting of sequences of actions are used to accomplish the team task. A critical issue for this approach is avoiding problems such as deadlocks and safety violations. Our recent work addresses that matter by verifying plans composed in a language called ALICA (A Language for Interactive Cooperative Agents) that controls the agents' behavior. The investigation is conducted by creating a translation tool that implements an algorithm for translating ALICA plans into the format used by the real-time model checker UPPAAL. We tested our concept using several cases, and the result is promising to get further insight on multi-agent model checking.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133908419","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}
H. Hien, Pham-Nguyen Cuong, Le Nguyen Hoai Nam, H. Nhung, T. Dinh
The purpose of this paper is to discuss about smart learning environments and present the FIT-EBot, a chatbot, which automatically gives a reply to a question of students about the services provided by the education system on behalf of the academic staff. The chatbot can play the role of an intelligent assistant, which provides solutions for higher-education institutions to improve their current services, to reduce labor costs, and to create new innovative services. Various artificial intelligence techniques such as text classification, named entity recognition are used in this work to enhance the system performance.
{"title":"Intelligent Assistants in Higher-Education Environments: The FIT-EBot, a Chatbot for Administrative and Learning Support","authors":"H. Hien, Pham-Nguyen Cuong, Le Nguyen Hoai Nam, H. Nhung, T. Dinh","doi":"10.1145/3287921.3287937","DOIUrl":"https://doi.org/10.1145/3287921.3287937","url":null,"abstract":"The purpose of this paper is to discuss about smart learning environments and present the FIT-EBot, a chatbot, which automatically gives a reply to a question of students about the services provided by the education system on behalf of the academic staff. The chatbot can play the role of an intelligent assistant, which provides solutions for higher-education institutions to improve their current services, to reduce labor costs, and to create new innovative services. Various artificial intelligence techniques such as text classification, named entity recognition are used in this work to enhance the system performance.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115462733","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}
Although project managers nowadays can use a range of tools and techniques to develop, monitor and control project schedules, the task of creating project schedules is often very difficult since it has to deal with planning against uncertainty. Popular techniques for project scheduling based on the assumption that projects are carried out as planned or scheduled -- which hardly happens. This paper takes the advantage of Bayesian Networks in modeling uncertainty and incorporates them in Critical Path Method - one of the most popular means of monitoring project scheduling. The paper also examines common risk factors in project scheduling and proposes a model of 19 common risk factors. A tool was also built, and experiments were carried out to validate the model.
{"title":"A Bayesian Critical Path Method for Managing Common Risks in Software Project Scheduling","authors":"Ngoc-Tuan Nguyen, H. Thang, Thi-Huong-Giang Vu","doi":"10.1145/3287921.3287962","DOIUrl":"https://doi.org/10.1145/3287921.3287962","url":null,"abstract":"Although project managers nowadays can use a range of tools and techniques to develop, monitor and control project schedules, the task of creating project schedules is often very difficult since it has to deal with planning against uncertainty. Popular techniques for project scheduling based on the assumption that projects are carried out as planned or scheduled -- which hardly happens. This paper takes the advantage of Bayesian Networks in modeling uncertainty and incorporates them in Critical Path Method - one of the most popular means of monitoring project scheduling. The paper also examines common risk factors in project scheduling and proposes a model of 19 common risk factors. A tool was also built, and experiments were carried out to validate the model.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"617 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123323285","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}
Nowadays, online product reviews belong to a valuable data source for customers in e-commerce. They provide customers with helpful details about a given product before customers make a decision on purchasing that product. Nevertheless, in this regard, if the e-commerce system returns too many reviews to customers and the reviews are not well presented in a relevant manner, the reviews might become cumbersome and time-consuming. In this paper, we define a helpful review retrieval task to support the customers by returning a ranked list of helpful reviews according to their helpfulness about the product of their interest. For an effective solution to the task, we also propose a method with an enhanced list of features for review representation and a multiple linear regression model using the elastic net regularization method. Our method is comprehensive as examining the task in its entirety from review's helpfulness prediction to helpful review retrieval for online product reviews. Evaluated on a real world Amazon dataset of the reviews about electronic devices, our method outperforms the others with the best values: 0.8 for the Normalized Discounted Cumulative Gain measure and 0.83 for the Accuracy measure. Such promising experimental results confirm the effectiveness of our method for the task.
{"title":"From Helpfulness Prediction to Helpful Review Retrieval for Online Product Reviews","authors":"C. Vo, Dung Duong, Duy Nguyen, T. Cao","doi":"10.1145/3287921.3287931","DOIUrl":"https://doi.org/10.1145/3287921.3287931","url":null,"abstract":"Nowadays, online product reviews belong to a valuable data source for customers in e-commerce. They provide customers with helpful details about a given product before customers make a decision on purchasing that product. Nevertheless, in this regard, if the e-commerce system returns too many reviews to customers and the reviews are not well presented in a relevant manner, the reviews might become cumbersome and time-consuming. In this paper, we define a helpful review retrieval task to support the customers by returning a ranked list of helpful reviews according to their helpfulness about the product of their interest. For an effective solution to the task, we also propose a method with an enhanced list of features for review representation and a multiple linear regression model using the elastic net regularization method. Our method is comprehensive as examining the task in its entirety from review's helpfulness prediction to helpful review retrieval for online product reviews. Evaluated on a real world Amazon dataset of the reviews about electronic devices, our method outperforms the others with the best values: 0.8 for the Normalized Discounted Cumulative Gain measure and 0.83 for the Accuracy measure. Such promising experimental results confirm the effectiveness of our method for the task.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131301348","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}
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