[[alternative]]Applying Fuzzy Search Technique for Architectural Case-Based Libraries on Internet

計畫編號：NSC89-2211-E032-011研究期間：199908~200007研究經費：174,000[[sponsorship]]行政院國家科學委員

[[alternative]]A Study of O-D Trip Table Estimation on a Stochastic Network with Fuzzy Traffic Information

計畫編號：NSC90-2415-H032-002研究期間：200108~200207研究經費：207,000[[sponsorship]]行政院國家科學委員

[[alternative]]The Impact on the Fit between Product Innovation and Customer Expectation-In the Case of Taiwanese Radio Broadcasting

計畫編號：NSC89-2416-H032-013研究期間：199908~200007研究經費：180,000[[sponsorship]]行政院國家科學委員

Research of the Japanese Youkai Culture in Animation

[[abstract]]In recent years, the creative industry has become one of the main trends for the country development in Asia; In Japan, traditional culture is a quite popular subject in animation films. One by one, after the creative thoughts from animation artists, lots of trational legend or folk stories became the main content in animation stories. To compare with other subjects in animation, traditional legend and folk story usually obtain more approval and support by the audience. In this case, the recreation of traditional culture can bring high value and profit, and to be the main direction, in the competition of animation industry developments in Asian countries. The folk believes in Taiwan is one of the features in tradition. It ’s easy to have response from Taiwanese audience with the kind of subject. With the complexity of historical background, there is a lot of culture varieties mixed together in Taiwan; which includes Chinese, Japanese South Asia and aboriginal cultures. Lots of god and sprits legends are very brilliant, which can become good creative elements. This dissertation mainly analyses Youkai culture subject in Japanese animations, and with further discussions about how to decorate the traditional story with creativity. At last analyse the reason of succeed in Japanese Youkai animation characteristics. The research introduces and exhaustive analysis to Youkai animation, and wish can be helped in future direction and concept for Taiwan, and those countries in Asia , who are in hurry to develop animation industry.

FPGA-based hardware design for scale-invariant feature transform

[[abstract]]This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA). To reduce the computing costs, Gaussian kernels are calculated offline for use in Gaussian filters. To eliminate low-contrast points, the inverse of a Hessian matrix is required for hardware implementation, which results in poor performance because dividers are needed. To solve this problem, this paper presents a new mathematical derivation model to implement the low-contrast detection, avoiding the use of any dividers. For the implementation of the normalization module, a large number of dividers are required by traditional methods, which adversely affects the computational efficiency. This paper presents a new architecture using only one divider to implement the normalization function in hardware. Thanks to the parallel processing architecture proposed to design the image pyramid, SIFT detection, and SIFT descriptor, the computational efficiency of the SIFT algorithm is significantly improved. As a result of the proposed design method, the requirement of logic elements in the FPGA hardware is greatly reduced and system frequency is significantly increased. Experimental results show that the proposed hardware architecture outperforms existing techniques in terms of resource usage and computational efficiency for real-time image processing.[[notice]]補正完

FPGA-based hardware design for scale-invariant feature transform

[[abstract]]This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA). To reduce the computing costs, Gaussian kernels are calculated offline for use in Gaussian filters. To eliminate low-contrast points, the inverse of a Hessian matrix is required for hardware implementation, which results in poor performance because dividers are needed. To solve this problem, this paper presents a new mathematical derivation model to implement the low-contrast detection, avoiding the use of any dividers. For the implementation of the normalization module, a large number of dividers are required by traditional methods, which adversely affects the computational efficiency. This paper presents a new architecture using only one divider to implement the normalization function in hardware. Thanks to the parallel processing architecture proposed to design the image pyramid, SIFT detection, and SIFT descriptor, the computational efficiency of the SIFT algorithm is significantly improved. As a result of the proposed design method, the requirement of logic elements in the FPGA hardware is greatly reduced and system frequency is significantly increased. Experimental results show that the proposed hardware architecture outperforms existing techniques in terms of resource usage and computational efficiency for real-time image processing.[[notice]]補正完

[[alternative]]Content Based Painting Image Retrieval

計畫編號：NSC92-2213-E032-022研究期間：200308~200407研究經費：409,000[[sponsorship]]行政院國家科學委員

旅行時間預估之不完整資料處理與資料融合研究

[[abstract]]本研究針對不完整資料環境下，處理不完整交通資料並進行旅行時間預估與資料融合。本研究先建立以灰色理論為基礎之不完整資料處理模式，透過灰關聯分析結合擬最鄰近法(pseudo-nearest neighbor) ，從不完整的資料記錄群組中，進行灰關聯度比對並嘗試插補不完整資料元素; 再者，將原始交通資料離線處理後，即應用旅運軌跡推估模式預估旅行時間。進一步，本研究在即時旅行時間預估與資料融合上，即以考慮車流時空觀念之旅行時間預估結果為基礎，整合流量、速度與佔有率資料作融合，透過模糊類神經網路之運算機制，預估即時旅行時間。範例中，以高速公路偵測器資料進行驗證，結果，顯示本研究模式準確，並於資料漏失率33%時，仍能維持準確度。[[conferencetype]]國內[[conferencedate]]20031205~20031205[[booktype]]紙本[[conferencelocation]]新竹, 臺

[[alternative]]Applying Fuzzy Neural Network Approach to the Study of Dynamic Route Choice Behavior

計畫編號：NSC89-2211-E032-008研究期間：199908~200007研究經費：321,000[[sponsorship]]行政院國家科學委員