Proceedings of the 2019 3rd International Conference on Information System and Data Mining最新文献

{"title":"LApps: Technological, Legal and Market Potentials of Blockchain Lightning Network Applications","authors":"Mahdi H. Miraz, David C. Donald","doi":"10.1145/3325917.3325942","DOIUrl":"https://doi.org/10.1145/3325917.3325942","url":null,"abstract":"Following in the footsteps of pioneer Bitcoin, many altcoins as well as coloured coins have been being developed and merchandised adopting blockchain as the core enabling technology. However, since interoperability and scalability, due to high and capped (in particular cases) transaction latency are deep-rooted in the architecture of blockchain technology, they are by default inherited in any blockchain based applications. Lightning Network (LN) is one of the supporting technologies developed to eliminate this impediment of blockchain technology by facilitating instantaneous transfers of cryptos. Since the potentials of LN is still relatively unknown, this paper investigates the current states of development along with possible non-monetary usage of LN, especially in settlement coloured coins such as securities, as well as creation of new business models based on Lightning Applications (LApps) and microchannel payments as well as micro-trades. The legal challenges that may act as impediment to the adoption of LN is also discussed.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131165306","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}

{"title":"Hybrid Learning Approach of Combining Cluster-Based Partitioning and Hidden Markov Model for IoT Intrusion Detection","authors":"Sulaiman Alhaidari, M. Zohdy","doi":"10.1145/3325917.3325939","DOIUrl":"https://doi.org/10.1145/3325917.3325939","url":null,"abstract":"Internet of Things (IoT) is a global network that connects various types of objects \"things\" via internet. It becomes a core technology for various applications and more and more embedded within our daily lives and businesses. As the technology grows and evolves a number of issues will arise and be focused on in IoT, Security is one of the central issues in IoT in the last decade. However, most of today's IoT intrusion detection systems suffer from high false alarms rate with moderate accuracy and detection rates when it's not able to detect all types of IoT intrusions correctly. To overcome this problem, hybrid techniques are used. In this paper, hybrid learning approach combining partitioning clustering techniques with Hidden Markov Model (HMM) is proposed. Experimental results show that the proposed approach using K-Medoids has improved the detection rate as well as decreased the false positive rate.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891720","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}

{"title":"Drivers for Sharing Knowledge in the Kingdom of Saudi Arabia Construction Industry: An Empirical Study","authors":"Hani Alamil, S. Renukappa, Hanouf Alosaimi, Saeed Al Nabt","doi":"10.1145/3325917.3325959","DOIUrl":"https://doi.org/10.1145/3325917.3325959","url":null,"abstract":"An increasing number of Kingdom of Saudi Arabia (KSA) construction organizations are turning to knowledge management (KM) as a key to leverage their distinctive core competencies in their pursuit of competitive advantage. However, the construction industry is one of the most challenging environments in which managing people effectively in order to ensure that they contribute their knowledge to organisational success. The construction industry employs an extremely diverse range of people from a wide range of occupational cultures and background, including people in unskilled, craft, managerial, professional and administrative positions. Therefore, the industry increasingly depends on the employees' know-how. Knowledge sharing is one of the building blocks for an organisation's success and acts as a survival strategy in this knowledge era. Sharing project experience and knowledge among project staff will: reduce the cost of problem solving; and decrease the probability of repeat problems. In other words, sharing knowledge leads to faster response times which help firms meet construction requirements with lower operational costs. There is, however, knowledge sharing is an under-researched area in the KSA construction industry context, despite several policy transformations announced by the KSA Government. Thus, the main aim of this research was to explore the drivers for sharing knowledge in the KSA construction industry. The findings are in the main, based on semi-structured interviews with 44 professionals from 30 construction organizations. The data analysis revealed that seven key drivers that have fueled the need for sharing knowledge. They are: to integrate knowledge of different teams through interaction, to set physical and social environment in the organisation for boosting production, to measure the methods and techniques for implementing knowledge sharing strategies, to transfer knowledge in different platforms, to retain knowledge, to reflect on the self-understandings and to create organisational communities for sharing ideas. The paper conclude that there is ample scope for empirical studies to explore and document the issues of organisational care and its impact on the knowledge sharing culture of KSA construction organizations. Further it noted that, managing knowledge is an integrated and complex process. More effective knowledge-sharing within and across construction organizations is required. Therefore, the KSA professional institutions and construction industry should support and participate in the work of knowledge-sharing groups to address perceived risks and opportunities from new technologies (e.g. BIM, mobile applications) and processes (e.g. sustainability issues).","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128945189","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}

{"title":"Estimating poverty: A state-of-the-art of methods","authors":"Yasmina Vizuete-Salazar, Marco Segura-Morales, Edison Loza Aguirre","doi":"10.1145/3325917.3325924","DOIUrl":"https://doi.org/10.1145/3325917.3325924","url":null,"abstract":"In the report \"Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle\", the World Bank points out that \"as the world gets richer and progress is made in the battle against extreme poverty, we must not forget that many around the world still live in deprivation, unable to meet their basic needs, even if their income is higher than the International Poverty Line\". This statement establishes two challenges: 1) understanding the complexity of poverty as a multidimensional phenomenon, and, 2) choosing an adequate measure mechanism, which increases data accuracy of poverty, obtaining the closest representation of living conditions of poor people. Nowadays, the compilation of poverty data is a high-cost task for governments due the need of a great amount of financial and human resources. This limitation makes it almost impossible to rely on immediate updated information. This article compiles the evolution of poverty measurement methods and alternatives to gather poverty data that can reduce the costs and time required to update such information.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126893368","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}

{"title":"Natural Language-Based Knowledge Extraction in Healthcare Domain","authors":"Edgars Rencis","doi":"10.1145/3325917.3325948","DOIUrl":"https://doi.org/10.1145/3325917.3325948","url":null,"abstract":"There is a growing amount of data in the databases of hospitals. These data could be exploited to alleviate the decision-making process of hospital managers, physicians and researchers. However, these types of end-users often lack the expertise necessary for extracting those data from the database. Several approaches exist in the field of how to allow non-programmers writing queries in a convenient manner, but none of them has yet reached fully satisfactory results. This paper sketches a solution to this problem by introducing means for writing queries in a keywords-containing natural language thus alleviating the query writing process for the end-user. Introducing this approach in the knowledge management system of the organization would greatly benefit the domain experts by allowing them to carry out the decision-making process in a more rapid and less erroneous manner.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793675","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}

{"title":"Identification of the Technology Convergence in the Field of Elderly Smart Home Based on Louvain Community Discovery Algorithm","authors":"Hong Miao, Xin Guo, Feifei Wu","doi":"10.1145/3325917.3325956","DOIUrl":"https://doi.org/10.1145/3325917.3325956","url":null,"abstract":"Based on the patent co-occurrence matrix constructed by Python, this study constructs a technology convergence network and analyzes the convergence degree of each technology node. According to this, the LOUVAIN community discovery algorithm is used to cluster the technology nodes to form a community structure network and determine the distribution of technology nodes in the community on the basis of the module degree gain, in order to highlight the differences before and after technology convergence in the network, and improve the hierarchical and clarity of technology convergence field.On this basis, identify the of technology convergence field of elderly smart home. The study found that in the field of elderly smart home, the convergence of sensor technology and positioning technology was more widespread in the elderly safety monitoring community; the convergence of decontamination technology and detection technology widespread better in the elderly household cleaning community.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125203803","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}

{"title":"Analysis of Research Status and Development Trend of Hydrogen Storage Technology","authors":"Yiwei Li, Feifei Wu, Hong Miao","doi":"10.1145/3325917.3325955","DOIUrl":"https://doi.org/10.1145/3325917.3325955","url":null,"abstract":"Hydrogen storage technology, playing the role of connecting hydrogen energy production with application, determines the large-scale application of hydrogen energy. We use bibliometric analysis of hydrogen storage research in order to get a view of research status and development trend of hydrogen storage technology. The results show that the research on hydrogen storage technology has turned from the rapid growth stage to the in-depth research stage. The basis discipline of hydrogen storage alloy, including the composition of its additives and catalyst, as well as its internal structure and ways of improving its performance. Baseonanalyzing the citation/frequency burst of researchkeywords, the key research topic in the future is mainly to study the stability and hydrogen release performance of magnesium-based hydrogen storage alloys at a specific temperature, and the exploring structure and composition of material through nanoparticles. The key research teams worthy of attention are YU XB team of the Chinese academy of sciences; PAN HG team of Zhejiang university; ZHANG YH team of Inner Mongolia university of technology; SAKAI T team of Osaka Electro-Communication University; FUJII H team of Hiroshima university; LIU HK team of University of Wollongong.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761784","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}

{"title":"PUREDroid: Permission Usage and Risk Estimation for Android Applications","authors":"A. Alshehri, Pawel Marcinek, Abdulrahman Alzahrani, Hani Alshahrani, Huirong Fu","doi":"10.1145/3325917.3325941","DOIUrl":"https://doi.org/10.1145/3325917.3325941","url":null,"abstract":"Android applications pose many security risks that affect the security and privacy of their users. Adversaries construct different types' Android applications pose many security risks that affect the security and privacy of their users. Adversaries construct different types of malicious applications and use different social engineering approaches to attract users to download and trust these applications. Malicious applications usually request permissions that are not related to their main functionality in order to access sensitive information or resources. Most of users attempt to grant the requested permissions without understanding the potential harm of those applications and how the requested permissions can be misused to disclose their privacy. Therefore, there is a need for a risk assessment model which can intimate the users about the risk level of permissions requested by an application in order to assist users to make the right decision whether to grant or deny a requested permission. This paper proposes Permission Usage and Risk Estimation for Android (PUREDroid) to measure the security risk of Android applications' permissions and the magnitude of harm resulting from granting extraneous permissions requests. In an evaluation with more than 25000 applications, including 5773 malware applications and 19242 benign applications, we demonstrate the usefulness and the effectiveness of our proposed scoring method.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129462789","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}

{"title":"Specular reflection Surface Defects Detection by using Deep Learning","authors":"Zhong Zhang, Borui Zhang, T. Akiduki","doi":"10.1145/3325917.3325930","DOIUrl":"https://doi.org/10.1145/3325917.3325930","url":null,"abstract":"As you know that defects inspection of specular surface is very difficult because its specular reflection is very strong and defects' reflection is weaker. And the existing computer vision-based industrial parts surface defect detection methods are limited by environmental factors, and the image preprocessing process is complex. On the other hand, with the rapid development of Convolutional Neural Networks (CNN) that is one type of deep learning and has excellent performance for image processing, has led to the rapid development of computer vision research based on deep learning. In this paper, we proposed an ensemble CNN in which integrated two convolutional neural network models for surface defect detection, and obtained better results.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123023928","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}

{"title":"Clustering Analysis of Brain Protein Expression Levels in Trisomic and Control Mice","authors":"Carly L. Clayman, Scott N. Clayman, P. Mukherjee","doi":"10.1145/3325917.3325932","DOIUrl":"https://doi.org/10.1145/3325917.3325932","url":null,"abstract":"In this paper, we describe a clustering analysis on 77 distinct brain protein expression levels of trisomic and control mice. Hierarchical clustering based on Euclidean distance results in clusters that partially coincide with experimental treatment groups of mice, as shown in dendrogram results. Normalization results in decreased within- and between-cluster sum of squares and a decreased ratio of between- to within-cluster sum of squares. The optimal number of clusters ranges from 1 to 4 clusters as determined by the gap statistic method or direct methods of the silhouette width or the elbow of total within-cluster sum of squares. Principal components analysis shows separation of clustered groups generated by k-means clustering. When clustered groups are plotted against the first two principal components, more distinct clusters are generated after z-score normalization of protein expression levels, compared to non-normalized results.","PeriodicalId":249061,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Information System and Data Mining","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696726","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}