• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.113-116
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• 2002

It is required to network to make more intelligent packet processing and forwarding for increasing bandwidth and various services. Classification provides these intelligent to network which is acquired by increasing number of rules in classification rule set. In this Paper, we propose a classification algorithm efficient to scalable rule set ahead as well as Present small rule set. This algorithm has competition to existing methods by performance and advantage that it is mixed with another algorithm because il does not change original shape of rule set.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.10
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• pp.53-58
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• 2008

This paper proposes a new set of instructions to improve the packet processing capacity of a network processor. The proposed set of instructions is able to achieve more efficient packet processing by accelerating integration of packet headers. Furthermore, a hardware configuration dedicated to processing overlay instructions was designed to reduce additional hardware cost. For this purpose, the basic architecture for the network processor was designed using LISA and the overlay block was optimized based on the barrel shifter. The block was synthesized to compare the area and the operation delay, and allocated to a C-level macro function using the compiler known function (CKF). The improvement in performance was confirmed by comparing the execution cycle and the execution time of an application program. Experiments were conducted using the processor designer and the compiler designer from Coware. The result of synthesis with the TSMC ($0.25{\mu}m$) from Synopsys indicated a reduction in operation delay by 20.7% and an improvement in performance of 30.8% with the proposed set of instructions for the entire execution cycle.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.41-44
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• 2006

본 논문은 안면영상의 인증 요소로 사용되는 눈동자영역을 SIFT를 이용하여 추출해내는 방법을 제안하고 있다. 모델이 되는 눈동자영상과 추출 하고자 하는 입력영상의 SET 결과인 Keypoint descriptor를 이용하여 각각의 특징벡터를 구성하고 서로 정합한 후 두 특징 점들 사이에 affine transform이 존재하는지 판단하여 반수 이상에 대응하는 특징 점들에 대해 동일한 affine transform이 존재할 경우 눈동자영역이라고 판단하였다. 실험결과 학습과정이 없으므로 기존의 인식방법 보다 빠르게 영역을 추출하는 결과를 얻을 수 있었다.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.621-628
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• 2001

SET is one of the useful protocol for credit payment in the Electronic market. Since, the delivery problem is conformed to delivery cooperation not payment problem, the classic SET protocol didn\`t consider about the certification of delivery. But the environment of electronic market be changed to manage the sold, delivery and payment etc.. In this paper, based on this consider, we propose a new SET protocol which has an function to verify the delivery based on SKP and verify it after analyzed by Petri nets. Specially, we consider SKP between Customer, Merchant, and Acquirer for improve the verify function.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1266-1269
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• 1993

The paper introduces a new method for fuzzy processing. The method allows handing a piece of information lost in the classic fuzzification process, and thus neglected by other methods. Processing the result after fuzzification is sustained by the interpretation that the input-output set mapping, specified by the IF-THEN rules, can be regarded as a direct mapping of their corresponding alpha-cuts. Processing involves just singletons as intermediary results, the final result being a combination of singletons obtained from fired rules.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.171-174
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• 2006

본 논문에서는 IP-TV 보금을 위해서 고성능 저가의 IP-TV(Internet Protocol TV) 셋탑박스의 필요성을 감안하여 TV를 통한 인터넷 컨텐츠 이용에 최적화된 IP-TV 셋탑박스를 제조업체(Ninelanes)와 공동으로 개발하였다. 개발된 셋탑박스는 브로드밴드를 이용한 VOD서비스, 1Mbps급의 DVD급 화질을 지원하고 스트리밍 비디오와 저장된 콘텐츠를 직접 재생할 수 있다. 개발된 셋탑박스는 VHS(450kbps), DVD급(750kbps), DVD(1.2Mbps), MP3, AC3, MPEG-2/4, VP4/5/6, WMV9, DVIX 등의 다양한 디지털 미디어 재생 포맷을 지원 할 수 있도록 개발되어 가격경쟁력 향상 및 멀티미디어 지원환경 구축, 인코더방식의 코덱 전환이 가능하다. 또한 고집적, 저전력, 고성능, 저가형 개발 개념으로 개발된 이 셋탑박스는 각종 IP-TV기능을 펌웨어나 소프트웨어 수정으로 시스템 변경이 가능하여 IP-TV 셋탑박스 보급에 크게 기여할 것으로 기대된다.

• Journal of International Society for Simulation Surgery
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• v.2 no.2
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• pp.64-66
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• 2015

Purpose : In this paper we proposed cascade feature filter and projection method for rapid human face recognition for the large-scale high-dimensional face database. Materials and Methods : The relevant features are selected from the large feature set using Fast Correlation-Based Filter method. After feature selection, project them into discriminant using Principal Component Analysis or Linear Discriminant Analysis. Their cascade method reduces the time-complexity without significant degradation of the performance. Results : In our experiments, the ORL database and the extended Yale face database b were used for evaluation. On the ORL database, the processing time was approximately 30-times faster than typical approach with recognition rate 94.22% and on the extended Yale face database b, the processing time was approximately 300-times faster than typical approach with recognition rate 98.74 %. Conclusion : The recognition rate and time-complexity of the proposed method is suitable for real-time face recognition system on the large-scale high-dimensional face database.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.429-442
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• 2014

In this paper, we investigated the use of seasonal autoregressive integrated moving average (SARIMA) time series models for fault detection in semiconductor etch equipment data. The derivative dynamic time warping algorithm was employed for the synchronization of data. The models were generated using a set of data from healthy runs, and the established models were compared with the experimental runs to find the faulty runs. It has been shown that the SARIMA modeling for this data can detect faults in the etch tool data from the semiconductor industry with an accuracy of 80% and 90% using the parameter-wise error computation and the step-wise error computation, respectively. We found that SARIMA is useful to detect incipient faults in semiconductor fabrication.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.187-190
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• 2004

This paper proposes an efficient hardware implementation of SPIHT(Set Partitoning In Hierarchical Tree) algorithm for image compression with the discrete wavelet transform. An efficient technique to scan the coefficients which are located in partitioned spatial orientation trees by DWT is considered in terms of counter fields for sorting pass and refinement pass. The proposed image compression method using SPIHT has been modeled in VHDL and has been implemented by use of both TMS320C6000 as a DSP and Virtex2 as a Xilinx FPGA.

• Journal of IKEEE
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• v.26 no.4
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• pp.647-652
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• 2022

In this paper, we propose a prediction system for skin pore labeling based on a CNN(Convolution Neural Network) model, where a data set is constructed by processing skin images taken by users, and a pore feature image is generated by the proposed image processing algorithm. The skin image data set was labeled for pore characteristics based on the visual classification criteria of skin beauty experts. The proposed image processing algorithm was applied to generate pore feature images from skin images and to train a CNN model that predicts pore feature ratings. The prediction results with pore features by the proposed CNN model is similar to experts visual classification results, where less learning time and higher prediction results were obtained than the results by the comparison model (Resnet-50). In this paper, we describe the proposed image processing algorithm and CNN model, the results of the prediction system and future research plans.