Proceedings of the 4th International Conference on Crowd Science and Engineering最新文献_第2页

Endogenous Combination of Reward and Punishment Promotes Cooperation 内源性奖惩结合促进合作

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371239

Jun Qian, Xiao Sun, Y. Chai, Yi Liu

引用次数: 0

Socioeconomic Impacts of New Transaction Modes: A Survey 新交易模式的社会经济影响研究

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371261

Shunbin Zhong, Leiju Qiu, Yi He, Baowen Sun

引用次数: 0

Bluffing in Price Bargain Promotes Resource Utilization at the Individual Level but Leads to the Imbalance of Social Welfare 价格讨价还价中的虚张声势促进了个人层面的资源利用，但也导致了社会福利的失衡

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371258

Xiao Sun, Y. Chai, Jun Qian, Yi Liu, Tongda Zhang

{"title":"Bluffing in Price Bargain Promotes Resource Utilization at the Individual Level but Leads to the Imbalance of Social Welfare","authors":"Xiao Sun, Y. Chai, Jun Qian, Yi Liu, Tongda Zhang","doi":"10.1145/3371238.3371258","DOIUrl":"https://doi.org/10.1145/3371238.3371258","url":null,"abstract":"As a self-interest serving and autonomous agent, individuals from various ecosystems typically employ bluffing as a competing strategy at presence of limited living resources, ranging from territory defense[1] to poker game[2]. But in human economic society, how this strategy works in resource allocation and what consequences it may bring in a free-market context still remain to be explored. In this paper, we modeled human bluffing behavior in a designed price bargain game, proposed a matched-by-individuals resource allocation method and ran a series of agent-based simulation experiments to compare it with matched-by-authority method. The simulation results show that matched-by-individuals method driven by endogenous bluffing behavior promotes resource utilization at the individual level compared with matched-by-authority method driven by exogenous compulsive power, but leads to the imbalance of welfare at the social level. Efficiency or equality, this seems to be an unavoidable question when talking about free market. Our findings emphasize the necessary of a comprehensive vision in public administration and of implications to distributed resource allocation system design.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"209 0 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117082318","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}

引用次数: 0

Statistical and Machine Learning-based E-commerce Sales Forecasting 基于统计和机器学习的电子商务销售预测

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371256

Wen-Li Dong, Qingming Li, H. V. Zhao

引用次数: 5

Using Blockchain and IoT Technologies to Enhance Intellectual Property Protection 利用区块链和物联网技术加强知识产权保护

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371246

Jun Lin, Wen Long, Anting Zhang, Y. Chai

{"title":"Using Blockchain and IoT Technologies to Enhance Intellectual Property Protection","authors":"Jun Lin, Wen Long, Anting Zhang, Y. Chai","doi":"10.1145/3371238.3371246","DOIUrl":"https://doi.org/10.1145/3371238.3371246","url":null,"abstract":"The Blockchain technology provides a way to record transactions or any digital interaction that is designed to be secure, tamper-proof, transparent, highly resistant to outages, traceable and auditable. The Internet of Things (IoT) technology is able to link computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and provides the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. These features encourage us to explore the combined application of IoT and Blockchain-based technology. In this paper, we propose a system architecture of blockchain and IoT based intellectual property protection system, which can process three types of intellectual property: 1) Patents, Copyrights, Trademarks etc.; 2) Industrial design, Trade dress, Craft works, Trade secrets etc.; and 3) Plant variety rights, Geographical indications etc. Using blockchain P2P network and IoT devices, the system can help us to establish a trusted, self-organized, open and ecological intellectual property protection system. To the best of our knowledge, this is the first work that applying blockchain technology and IoT technology on traditional intellectual property protection and trade ecosystem.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537052","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}

引用次数: 4

Modeling and Analysis of Factors Affecting Brainstorming 头脑风暴影响因素的建模与分析

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371251

Tianyu Feng, Y. Chai, Yi Liu, Xiao Yu

引用次数: 0

Hybrid Breadth-Depth Search Algorithm in Crowd Transaction Network 人群交易网络中广度-深度混合搜索算法

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371270

Zhishuo Liu, Ziqi Dong, Fang Tian, Fan Zhang, Nianci Kou, Dongxin Yao, Lida Li

{"title":"Hybrid Breadth-Depth Search Algorithm in Crowd Transaction Network","authors":"Zhishuo Liu, Ziqi Dong, Fang Tian, Fan Zhang, Nianci Kou, Dongxin Yao, Lida Li","doi":"10.1145/3371238.3371270","DOIUrl":"https://doi.org/10.1145/3371238.3371270","url":null,"abstract":"In the Crowd Intelligence-based Transaction Network (CITN), each intelligent individual stores the commodity information in a local node. The information is shared via searching and routing in the circle of friends. The demand of searching the commodity information in an efficient way motivates this study. We develop an algorithm that can search the information for a certain node in a short period of time and with low network resource consumption. This paper proposes a heuristic search algorithm, the hybrid breadth-depth (HBD) algorithm, which helps to find suitable suppliers and commodities in the CITN for any demand of the buyers. The HBD algorithm takes full advantage of the breadth-first search (BFS) and depth-first search (DFS). It defines the relevance between nodes, optimizes the search rules and forwarding paths based on the relevance between nodes and the neighbor nodes in their circles of friends, and improves both the success rate and efficiency. Our test on the performance of the HBD algorithm shows that it is superior in the success rate, search time, matching degree, network resource consumption, and scalability. Compared with previous search algorithms such as the food algorithm and the random walk algorithm, in the CITN, the HBD algorithm can greatly reduce the search time and the network resource consumption, and increase the success rate and matching degree.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123597297","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}

引用次数: 0

A Patient Outcome Prediction based on Random Forest 基于随机森林的患者预后预测

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371272

Shan Yang, Xiangwei Zhengy, Feng Yuan

{"title":"A Patient Outcome Prediction based on Random Forest","authors":"Shan Yang, Xiangwei Zhengy, Feng Yuan","doi":"10.1145/3371238.3371272","DOIUrl":"https://doi.org/10.1145/3371238.3371272","url":null,"abstract":"Since the research and development value of electronic health records (EHRs) which contains a large number of patient treatment data is very high and meaningful, EHRs has gained attention by researchers in recent years. EHRs has some characteristics such as temporality, sparsity, complexity, irregularity, noisiness and so on, which bring many challenges to direct study the medical data. Thus, an effective feature extraction, or phenotyping from patient EHRs is a key step before any further applications. In this paper, MIMIC-III intensive care database is selected for the experiments. To predict the patient's death outcome (namely death due to illness or still alive), we make full use of the visit records of patients and propose a prediction method that combines the medical concept representation model Med2Vec with random forest algorithm. Experimental results indicate that the proposed method is robust to parameter variations and noise. Besides, compared with other prediction methods, the performance metrics of the proposed method are very well. Finally, the effect of the Med2Vec model is superior to that obtained by raw data (i.e., no feature learning applied to EHRs data).","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129718697","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}

引用次数: 3

Transaction Credit Managing Mechanism Based on the Crowd Intelligence-Based Transaction Network 基于人群智能交易网络的交易信用管理机制

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371265

Zhishuo Liu, Nianci Kou, Zhuonan Han, Ziqi Dong, Dongxin Yao

{"title":"Transaction Credit Managing Mechanism Based on the Crowd Intelligence-Based Transaction Network","authors":"Zhishuo Liu, Nianci Kou, Zhuonan Han, Ziqi Dong, Dongxin Yao","doi":"10.1145/3371238.3371265","DOIUrl":"https://doi.org/10.1145/3371238.3371265","url":null,"abstract":"Current studies have proposed the platform-based e-commerce credit management technology. The latest research of transaction credit of e-commerce system proposes two kinds of credit, which is direct credit and recommends, and accordingly constructs a model for the transaction network based on crowd intelligence. However, whether the transaction credit model is efficient and orderly or not depends not only on the model itself, but also on the transaction credit managing mechanism. Therefore, this paper carries out in-depth research on the transaction credit managing mechanism based on characteristics of the crowd intelligence-based transaction network, and proposes the method of \"buyer + circle of friends\" for transaction credit data storing and updating, and builds a credit data searching method based on the combination of breadth and depth search algorithm. The \"buyer +circle of friends\" method not only can make full use of the computing and storing ability of the internet, but also can solve the problem of single node failure. The algorithm optimizes the forwarding strategy of the query request. In addition, the simulation results show that the algorithm can acquire more target resources faster and can effectively reduce the amount of redundant messages in the network.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128355269","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}

引用次数: 0

Intelligent Network Application in Computer-aided Diagnosis 智能网络在计算机辅助诊断中的应用

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371273

Tiantian Miao, Yuhong Shen, Lihui Wang, Wen Ji, Yuemin M. Zhu, Feng Yang

引用次数: 0