2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)最新文献_第7页

The Impact of Course Enrollment Sequences on Student Success 课程入学顺序对学生成功的影响

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.140

Ahmad Slim, G. Heileman, Wisam Al-Doroubi, C. Abdallah

{"title":"The Impact of Course Enrollment Sequences on Student Success","authors":"Ahmad Slim, G. Heileman, Wisam Al-Doroubi, C. Abdallah","doi":"10.1109/AINA.2016.140","DOIUrl":"https://doi.org/10.1109/AINA.2016.140","url":null,"abstract":"Many universities are working to improve their graduation rates. The factors that correlate to student success and hence graduation rates are many, varying from pre-institutional factors, including high school GPA and admissions scores, to institutional factors, including student support services and the quality of faculty. An essential institutional factor that is often overlooked is the structure of the curriculum. In this paper we consider the degree to which the underlying curriculum that a student must traverse in order to earn a degree impacts progress. Using data mining methods, complex network analysis and graph theory, this paper proposes a framework for analyzing university course enrollment networks at the program level. The analyses we provide are based on quantifying the importance of course enrollment sequences on a student's final GPA, a metric that is highly correlated to graduation rates. In particular, we investigate the orderings of courses enrollment sequences that best contribute to student performance and achievement. Experimental results, using data from the University of New Mexico, show that Electrical Engineering students who graduated with \"high GPA\" values tend to follow a common course enrollment sequence that is quite different than that of students who graduated with relatively \"low GPA\" values. This work may be useful to both students and decision makers at universities as it presents a robust framework for analyzing the ease of flow of students through curricula, which may lead to improvements that facilitate improved student success.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125556793","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: 7

Clustering Depth Based Routing for Underwater Wireless Sensor Networks 基于聚类深度的水下无线传感器网络路由

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.168

Tanveer Khan, Israr Ahmad, Waqas Aman, Irfan Azam, Z. Khan, U. Qasim, Sanam Avais, N. Javaid

{"title":"Clustering Depth Based Routing for Underwater Wireless Sensor Networks","authors":"Tanveer Khan, Israr Ahmad, Waqas Aman, Irfan Azam, Z. Khan, U. Qasim, Sanam Avais, N. Javaid","doi":"10.1109/AINA.2016.168","DOIUrl":"https://doi.org/10.1109/AINA.2016.168","url":null,"abstract":"Large propagation delay, high error rate, low band-width and limited energy in Underwater Sensor Networks (UWSNs) attract the attention of most researchers. In UWSNs, efficient utilization of energy is one of the major issue, as the replacement of energy sources in such environment is very expensive. In this paper, we have proposed a Cluster Depth Based Routing (cDBR) that is based on existing Depth Based Routing (DBR) protocol. In DBR, routing is based on the depth of the sensor nodes: the nodes having less depth are used as a forward nodes and consumes more energy as compared to the rest of nodes. As a result, nodes nearer to sink dies first because of more load. In cDBR, cluster based approach is used. In order to minimize the energy consumption, load among all the nodes are distributed equally. The energy consumption of each node is equally utilized as each node has equal probability to be selected as a Cluster Head (CH). This improves the stability period of network from DBR. In cDBR Cluster Heads (CHs) are used for forwarding packets that maximizes throughput of the network. We have compared our results with DBR and Energy Efficient DBR (EEDBR). The simulation result validates that cDBR achieves better stability period and high throughput comparatively to DBR and EEDBR.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128764834","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: 29

Sentiment Analysis and Classification for Software as a Service Reviews 软件即服务评论的情感分析与分类

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.148

A. Alkalbani, Ahmed Mohamed Ghamry, F. Hussain, O. Hussain

{"title":"Sentiment Analysis and Classification for Software as a Service Reviews","authors":"A. Alkalbani, Ahmed Mohamed Ghamry, F. Hussain, O. Hussain","doi":"10.1109/AINA.2016.148","DOIUrl":"https://doi.org/10.1109/AINA.2016.148","url":null,"abstract":"With the rapid growth of cloud services, there has been a significant increase in the number of online consumer reviews and opinions on these services on different social media platforms. These reviews are a source of valuable information in regard to cloud market position and cloud consumer satisfaction. This study explores cloud consumers' reviews that reflect the user's experience with Software as a Service (SaaS) applications. The reviews were collected from different web portals, and around 4000 online reviews were analysed using sentiment analysis to identify the polarity of each review, that is, whether the sentiment being expressed is positive, negative, or neutral. Also, this research develops a model for predicting the sentiment of Software as a Service consumers' reviews using a supervised learning machine called a support vector machine (SVM). The sentiment results show that 62% of the reviews are positive which indicates that consumers are most likely satisfied with SaaS services. The results show that the prediction accuracy of the SVM-based Binary Occurrence approach (3-fold crossvalidation testing) is 92.30%, indicating it performs better in determining sentiment compared with other approaches (Term Occurrences, TFIDF). This work also provides valuable insight into online SaaS reviews and offers the research community the first SaaS polarity dataset.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631183","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: 15

A Capital Market Metaphor for Content Delivery Network Resources 内容交付网络资源的资本市场隐喻

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.108

Elias Vathias, Dimitrios S. Nikolopoulos, S. Hadjiefthymiades

{"title":"A Capital Market Metaphor for Content Delivery Network Resources","authors":"Elias Vathias, Dimitrios S. Nikolopoulos, S. Hadjiefthymiades","doi":"10.1109/AINA.2016.108","DOIUrl":"https://doi.org/10.1109/AINA.2016.108","url":null,"abstract":"We establish a framework that can be used by Origin Servers (content-generating organizations) for claiming Content Delivery Network (CDN) resources in a fine-grained way. The basis of our work lies in the use of Stocks as well as a Secondary Market for the stock trading, tools and products commonly used in modern capital markets. Network and disk resources are being monitored through well-established techniques (Kernel Regression Estimators) in a given time frame (typically in the order to an hour). This information is dynamically updated to reflect transient behavior and longer-term trends. The model that we establish relies initially on the resource use forecasting that the kernels can provide but also on other complementary techniques. To cope with inaccuracies in the predictive capability of the prediction mechanism (that would imply inefficient use of the claimed resources) we establish a Secondary Market for the stock trading. This scheme allows the fast offloading of unused resources. Thus, all the involved players (including the CDN itself) benefit from the rationalized use of CDN resources.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714453","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

Ontology-Based Information Extraction for Knowledge Enrichment and Validation 基于本体的知识提取与验证

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.70

Dhomas Hatta Fudholi, J. Rahayu, E. Pardede

{"title":"Ontology-Based Information Extraction for Knowledge Enrichment and Validation","authors":"Dhomas Hatta Fudholi, J. Rahayu, E. Pardede","doi":"10.1109/AINA.2016.70","DOIUrl":"https://doi.org/10.1109/AINA.2016.70","url":null,"abstract":"Ontology is widely used as a mean to represent and share common concepts and knowledge from a particular domain or specialisation. As a knowledge representation, the knowledge within an ontology must be able to evolve along with the recent changes and updates within the community practice. In this paper, we propose a new Ontology-based Information Extraction (OBIE) system that extends existing systems in order to enrich and validate an ontology. Our model enables the ontology to find related recent knowledge in the domain from communities, by exploiting their underlying knowledge as keywords. The knowledge extraction process uses ontology-based and pattern-based information extraction technique. Not only the extracted knowledge enriches the ontology, it also validates contradictory instance-related statements within the ontology that is no longer relevant to recent practices. We determine a confidence value during the enrichment and validation process to ensure the stability of the enriched ontology. We implement the model and present a case study in herbal medicine domain. The result of the enrichment and validation process shows promising results. Moreover, we analyse how our proposed model contributes to the achievement of a richer and stable ontology.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116136285","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: 11

A QoS-Guaranteed Adaptive Cooperation Scheme in Cognitive Radio Network 认知无线网络中qos保证的自适应协作方案

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.128

Yufeng Wang, F. Tang, Yanqin Yang, Jie Li, Wenchao Xu, Jinsong Wu

引用次数: 3

Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation WMN-PSO仿真系统中一种新的替换方法的实现及其性能评价

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.42

Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, L. Barolli, F. Xhafa

引用次数: 51

Privacy-Preserving Triangle Counting in Distributed Graphs 分布图中的保隐私三角形计数

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.28

H. Do, W. Ng

{"title":"Privacy-Preserving Triangle Counting in Distributed Graphs","authors":"H. Do, W. Ng","doi":"10.1109/AINA.2016.28","DOIUrl":"https://doi.org/10.1109/AINA.2016.28","url":null,"abstract":"Together with the popularity of graph structure in real world data, graph analysis has become an attractive research topic. Triangle counting is one of typical graph mining tasks and plays a significant role in complex network analysis, with a wide range of applications in social network analysis, spam detection, and computer-aided design applications. Given the sensitive nature of graph data, the disclosure of graph content for the purpose of analysis may raise a major privacy concern to both individuals and organizations. In this paper, we propose a protocol for privacy-preserving triangle counting when the overall graph is distributed to different parties. We firstly present the solution in a two-party scenario and then extend the protocol to any number of participating parties. The graph structure is represented by an adjacency matrix, and cryptographic secure matrix computation is utilized to tackle the problem. A secure multi-party power of matrix sum protocol is proposed to serve as a building block for the solution. We have evaluated the computational complexity and scalability of the proposed protocols both analytically and empirically. The results show that the protocols are efficient and scalable for small and medium size data.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"96 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856259","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

Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios 动态传感器管理:在动态场景中扩展近实时移动传感器集成的传感器网络

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.100

L. F. Assis, Lucas P. Behnck, D. Doering, E. P. Freitas, C. Pereira, F. Horita, J. Ueyama, J. Albuquerque

{"title":"Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios","authors":"L. F. Assis, Lucas P. Behnck, D. Doering, E. P. Freitas, C. Pereira, F. Horita, J. Ueyama, J. Albuquerque","doi":"10.1109/AINA.2016.100","DOIUrl":"https://doi.org/10.1109/AINA.2016.100","url":null,"abstract":"Wireless Sensor Networks (WSN) are often composed of a wide range of sensor nodes, which may vary greatly in their type of hardware platform, as well as their sensing and mobility capabilities. The ability of a sensor to move is a particularly important feature in dynamic scenarios, since mobile sensors can fill the gap caused by the failures of those that are stationary, and thus extend the lifetime and span of a WSN. However, there remains the problems of intersensory communication in the field when integrating mobile sensors into the Sensor Web in dynamic scenarios since it does not have the necessary interoperability for automatically managing the different types of sensor data and activities involved in such scenarios. This paper tackles this problem by adopting an approach consisting of an enhanced messaging protocol and a dynamic sensor management component. In validating the proposal, two different realistic scenarios were simulated to evaluate the achieved results in terms of interoperability and performance. The results provided evidence that the proposal complies with Sensor Web standards as well as being suitable for near real-time data publication, and is thus able to support applications in dynamic scenarios.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130651800","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: 9

Leveraging Structural Information in Ontology Matching 利用本体匹配中的结构信息

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.64

Cheng Xie, M. Chekol, Blerina Spahiu, Hongming Cai

引用次数: 10