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Department Of Computer Science Ritsumeikan University | 論文
- Pipelining a Multi-Mode SHA-384/512 Core with High Area Performance Rate
- A Verification Method for Formal Requirements Description
- Seaweed Prevents Breast Cancer?
- A Tool Platform Using an XML Representation of Source Code Information(Software Engineering)
- MASCOTS II: A Dialog Manager in General Interface for Speech Input and Output (Special Issue on Speech and Discourse Processing in Dialogue Systems)
- Quantitative Analysis of Interleukin-6 in Vitreous from Patients with Proliferative Vitreoretinal Diseases
- Prognostic Importance of Neuroendocrine Differentiation in Japanese Breast Cancer Patients
- Pipeline MD5 implementations on FPGA with data forwarding (リコンフィギャラブルシステム)
- Mild Persistent Hypercalcitoninemia after Total Thyroidectomy in Patients with Papillary Thyroid Carcinoma
- Extraction of important sentences for speech summarization based on an F_0 model
- Speculative Selection in Adaptive Routing on Interconnection Networks (Interconnection Networks)
- C-21 Speculative Routing in Multicomputer Direct Networks
- Visual Software Requirements Specification Technique Based on Communication Model(Special Issue on Knowledge-Based Software Engineering)
- Integration of Scenarios from Different Viewpoints
- Transformation between Scenarios from Different Viewpoints(Requirement Engineering , Knowledge-Based Software Engineering)
- Speculative Selection Routing in 2D Torus Network(Networking and System Architectures)(Hardware/Software Support for High Performance Scientific and Engineering Computing)
- A Successful Surgical Repair of the Hepatic Hydrothorax Using Pneumoperitoneum: Report of a Case
- Document Based Context Aware Computing (日韓合同ワークショップ 1st Korea-Japan Joint Workshop on Ubiquitous Computing and Networking Systems (ubiCNS 2005))
- Tree-Based Approaches to Automatic Generation of Speech Synthesis Rules for Prosodic Parameters : Special lssue on Speech Synthesis: Current Technologies and Equipment
- An Utterance Prediction Method Based on the Topic Transition Model