Kevin Chihcheng Hsu

Techniques for finding similarity knowledge in OLAP reports

On-line analytical processing (OLAP) is a common solution that modern enterprises use to generate, monitor, share, and administrate their analysis reports. When daily, weekly, and/or monthly reports are generated or published by the OLAP operators, all analyses on the contents of reports are left for the report readers. To discover hidden rules, similar reports, or trend inside the potentially huge amount of reports, the report readers can only rely on their smart eyes to find out any rules of such kinds. Data mining is a well-developed field for finding hidden rules inside the data itself. However, there are few techniques focus on finding hidden rules, similarity, or trend using OLAP reports as the unit of analysis. In this paper, we explore how to use data mining techniques on OLAP reports in order to automatically and effectively find the similarity knowledge of OLAP reports. We also address the appropriate presentation of this similarity knowledge to OLAP users. We compare the difference between traditional data mining and finding similarity knowledge from OLAP reports. We then proposed three methods (called OLAP_MDS, OLAP_CLU, and OLAP_M+C in this paper) to explore the effectiveness of discovering similarity knowledge from OLAP reports. Finally, we compare the pros and cons of the proposed three methods with experiments and conclude that the OLAP_M+C method should be the best in most cases.

Gateway Zone Multi-path Routing in Wireless Mesh Networks

Internet and multimedia services are widely-provided in All-IP based networks. There has been growing demand for mobile users to get those services. The Wireless Mesh Network (WMN) extends communication range and provides Internet connectivity to mobile users with low upfront investment. In WMN, the traffic usually passes through the gateway and makes it become the common destination of the traffic. Conventional multipath routing protocols in the ad hoc networks do not allow intermediate nodes to reply the route request messages, so the flooding messages make the area near the gateway become congested and degrade the performance. In this paper, we proposed Gateway Zone Multi-path Routing (GZMR) protocol. GZMR uses node around the gateway to form a Gateway Cooperative Zone and ceases the routing control messages flooding from outside the zone. Border nodes in the zone can help replying gateway information to reduce route discovery delay. Our simulation results show that by lowering routing overheads and utilizing multiple paths from source to gateway, GZMR can shorten average end-to-end delay and improve the packet delivery in WMNs.

Applying Clustering Analysis on Grouping Similar OLAP Reports

On Line Analysis Processing (OLAP) is a common solution that modern enterprises use to generate, monitor, share, and administrate their analysis reports. When daily, weekly, and/or monthly reports are generated or published by the OLAP operators, the report readers can only rely on their smart eyes to find out hidden rules, similar reports, or trend inside the potentially huge amount of reports. Data mining is a well-developed field for finding hidden rules inside the data itself. However, there is few techniques focus on finding hidden rules, similarity, or trend using OLAP reports as the unit of analysis. In this paper, we explore how to use clustering analysis on OLAP reports in order to automatically and effectively find the grouping knowledge of OLAP reports. We also address the appropriate presentation of this grouping knowledge to OLAP users.

OEPortal: an open, unified, and interoperable presentation-preserving e-learning portal

With the rapid advancement of stand-alone e-learning systems, we believe a shamble and interoperable portal platform capable of integrating various existing learning systems is critical for the next step development of e-learning systems. We highlight four difficulties in todays e-learning systems as the root causes for current ineffective sharing of stand-alone learning systems: interoperability of e-learning systems, collaboration of learning objects, presentation level integration of learning objects, and transparent access of e-learning systems. In this paper, we propose an open, unified, and interoperable e-learning portal to meet this critical need. In our proposed system, we employ WSRP services to preserve the presentation of shared learning objects from participating learning systems, and BPEL4WS for the task-based course workflow orchestration among shared learning systems. We also explain key steps in course preparation and execution to provide clear pictures of how our system enables actual interoperability of numerous existing learning objects/ components/ systems.

A QoS-based hybrid multiple access transmission strategy in WCDMA downlink

This article proposes a hybrid multiple access (HMA) transmission strategy that integrates the traditional multi-access mode and the novel uni-access mode for WCDMA downlink. For better multiplexing of services with different quality requirements, this paper also proposes a quality based admission control policy and a scheduling scheme to construct an overall system for evaluation. Furthermore, a throughput optimization extension considering both intra-cell and inter-cell interference for the HMA is presented. In the simulation study, it is shown that the HMA outperforms the CDMA system with better GOS, lower delay, lower BER and higher throughput where last three aspects of improvement are gained by uni-access transmission mode. We observe that the HMA provides more significant improvements when the system load is higher.

A Secure Non-interactive Deniable Authentication Protocol with Certificates Based on Elliptic Curve Cryptography

Since the information technology continues to grow and the network applications are getting popular, protecting the privacy of Internet users on the open network becomes a necessary concern. The traditional authentication protocol is not suitable for the requirements of internet security nowadays. That is, it cannot assure that the private information not be revealed during the authentication operation, or be used by malicious terminal service managers for their personal gain in some other business opportunities. Hence, in the dissertation, we propose a deniable authentication protocol based on elliptic curve cryptography (ECC) to satisfy the current public key infrastructure and fulfill the following security requirements of deniable authentication protocols.

Integrated usability model for the multimedia mobile device development

The mobile devices have grown rapidly with the progresses of information technology those years. The mobile devices, such as i-Phone, i-Pad, Tablet PC and smart-phone, have become personal and business tools. Those devices are specially developed for mobile users on the basis of the conceptual design of personal digital assistant (PDA) long time ago, but the scopes of the usages extend much more extensive through integrated multimedia needs.

Applying Multi-dimensional Scaling Analysis for Finding Similarity Knowledge in OLAP Reports

On Line Analysis Processing (OLAP) is a common solution that modern enterprises use to generate, monitor, share, and administrate their analysis reports. When daily, weekly, and/or monthly reports are generated or published by the OLAP operators, the report readers can only rely on their smart eyes to find out hidden rules, similar reports, or trend inside the potentially huge amount of reports. Data mining is a well-developed field for finding hidden rules inside the data itself. However, there is few techniques focus on finding hidden rules, similarity, or trend using OLAP reports as the unit of analysis. In this paper, we explore how to use Multi-Dimensional Scaling (MDS) on OLAP reports in order to automatically and effectively find the similarity knowledge of OLAP reports. We also address the appropriate presentation of this similarity knowledge to OLAP users.

The Architecture for Solving the Cross-Domain Keywords During New Product Development

The team-members for the new product development (NPD) are recruited from different departments in the enterprises. So the team-members in the design teams range from novices to experts in NPD. The juniors developer in the design project team lack more successful product-design experiences as their seniority and skills. Therefore, those developers always query and search their problems with the limited terminology via the information systems or websites. So the results of the querying and searching always are limited to the similar domain-knowledge. The new product development (NPD) involves multidisciplinary knowledge such as accumulated experiences of knowledge-workers, and different technical and legal documents. The information systems (IS) facilitating the NPD processes often include document-based knowledge management system (KMS), Product Data Management (PDM), Product Lifecycle Management (PLM) systems etc. With these different systems, novices at various stages of NPD processes often have problems to use the exact and suitable keywords to query the problems from those information systems. The study proposes a case-based reasoning to construct a hierarchical knowledge model to record knowledge-workers’ experiences and to store the information of experiences and the recommendation of experts. The aim of the study is that the proposed architecture can query the information scattered in different information systems by using their individual-domain terminology and retrieve the better fitted results of the querying.