• 전자공학회논문지CI
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• 제41권4호
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• pp.1-8
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• 2004

PCI 2.2 버스 마스터가 메모리 읽기 명령으로 타겟 장치에 데이터 전송을 요구하면 타겟 장치는 내부적으로 데이터 준비하는데 시간이 필요하므로 데이터 전송 없이 장시간 PCI 버스를 점유하는 상황이 발생할 수 있다. 이는 PCI 버스 사용 효율 및 데이터 전송 효율을 떨어뜨리게 되며 이를 해결하기 위해 PCI 2.2에서는 지연 트랜잭션 메커니즘을 이용한다. 그러나 이 방법은 타겟 장치가 프리페치해야 할 정확한 데이터의 양을 알 수 없기 때문에 데이터 전송 효율이 떨어진다. 본 논문에서는 메모리 읽기 명령을 수행하고자 하는 버스 마스터가 메모리 쓰기 명령어를 이용하여 타겟 장치에게 읽어올 데이터의 양을 미리 알려주는 프리페치 요구를 이용해 보다 효율적으로 데이터를 전송하는 방법을 제안한다. 모의실험 결과 제안된 방법이 지연 트랜잭션에 비해 데이터 전송 효율이 평균 10 % 향상되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권7호
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• pp.2339-2355
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• 2021

In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.

• Journal of the Korean Data and Information Science Society
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• 제21권6호
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• pp.1051-1060
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• 2010

도금공정에서는 도금두께의 규격한계는 주어지지만 대부분의 경우 목표치는 주어지지 않는다. 목표치가 주어지지 않았을 때 일반적으로 규격의 중심점이 목표치로 사용된다. 하지만 공정능력치가 크다면 규격의 중심을 목표치로 사용하는 것은 총 손실비용면에서 최선의 선택이 아니다. 이 논문에서는 총 손실비용을 생산비용과 손실함수의 합으로 정의하였고 기대 총 손실비용을 최소화 하는 목표치를 제안하였다. 그리고 그때의 공정능력치의 감소가 미미한 것을 보였다.

• 유통과학연구
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• 제20권6호
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• pp.1-10
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• 2022

Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

• 항공우주기술
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• 제11권2호
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• pp.171-181
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• 2012

항공관제시스템을 구성하는 하부 시스템중 하나인 감시자료처리시스템(SDP, Surveillance Data Processor)은 항공 감시 레이더 등 다양한 감시 센서로부터 감시자료를 전달 받아 항공기의 항적을 추적하는 시스템으로서, SDP의 항적 추적 성능은 항공기의 안전 운항에 직접적인 영향을 미친다. 따라서 개발과정에서 SDP의 요구 성능에 대한 검증은 필수적이며, 특히 대표적인 다중 센서 다중 타겟 추적(Multi-Sensor Multi-Target Tracking)시스템으로서 다양한 타겟 추적 방법이 존재함에 따라 정량적인 추적 정확도 성능 평가가 중요하게 여겨지고 있다. 본 연구에서는 현재 한국항공우주연구원에서 개발 중인 SDP의 항적 추적 성능 검증을 위한 요구 성능 정의, 테스트 환경 구축, 테스트 결과에 대해 정리하였다.

• 한국군사과학기술학회지
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• 제17권3호
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• pp.364-377
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• 2014

In this paper, we have developed a target recognition algorithm based on a template matching technique using Synthetic Aperture Radar (SAR) images. For efficient computations, Radon transform-based azimuth estimation algorithm was used with the template matching. MSTAR data set was divided into two groups according to the depression angles, which were a train set and a test set. Template data were generated by rotating and cropping chips which were from MSTAR train set using the azimuth estimation algorithm. Then the template matching process between test data and template data was performed under various conditions. Performance variation according to contrast enhancement preprocessing which is scarce in open literature was also presented. The analysis results show that the target recognition algorithm could be useful for the automatic target recognition using SAR images.

• 복식
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• 제54권7호
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• pp.1-14
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• 2004

The purpose of this study is to provide specific size data for developing a standard dress form for Korean Females between the ages of 18 and 29. Differences in sizes between dress forms used in 18-24 year-old target brands and 25-29 year-old target brands and the human body were ascertained through direct anthropometric measurements. In the 18-24 year-old target brands. 83.0-83.8cm is suitable for the bust circumference of the dress form, while in the 25-29 year-old target brands, 85.0-86.0cm is suitable. The waist circumferences of most dress forms are similar except for the Japanese C form, and there is no difference between the two groups. For hip circumference in the 18-24 year-old target brands, about 90.0cm is suitable while the 25-29 year-old target brands use additional dress forms of 91.0-92.0cm. The center front length, neck tc waist length, and front interscye breadth is 1cm shorter and the back interscye breadth is 1cm longer than indicated by the 1997 National Anthropometric Survey data.

• Journal of information and communication convergence engineering
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• 제7권3호
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• pp.366-371
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• 2009

A realization for an accurate position detecting system of a moving target in two dimensional plane using dual line CCDs and photometric interpolation is presented. The system is realized that the infrared LEDs are utilized for lighting source, a target size is recognized by the scanned data from CCD owing to blocking the radiated light path by placing the target between CCD and lighting source, a coordinate on the plane is found by plane trigonometry formed by the moving target and two CCD sensors, and the former scan data is used for the coordinate iteratively and the photometric interpolation is applied to sub-pixel of scanned image. The experimental results show that the experiment results in a success rate about 3 different size targets, 3, 5 and 7mmm on the test plane $210{\times}373mm$. The moving target positioning detected success rate is 93% in 3mm target, 5mm is 95.3%, and 7mm is 95.8% respectively. The photometric interpolation is enhanced to 1.5% in comparison to be unused.

• 대한의용생체공학회:의공학회지
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• 제26권3호
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• pp.129-132
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• 2005

It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.

• 한국IT서비스학회지
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• 제8권1호
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• pp.47-58
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• 2009

The information protection security diagnosis institution was applied services since 2004, for the leveling up of public information protection and the establishment of the stability and reliability of information communication. And this security diagnosis was implemented actually on the 142 firms in 2005, the 160 firms in 2006 and the 205 firms in 2007. But this is recognized by the some firms as one of the unnecessary regulations. And there are some difficulties with collecting the subjective and reliable source data for establishing the information protection security diagnosis target. In this research, the enhanced model on the selection of information protection security diagnosis target firms was suggested by the interview with some expert and the analysis for the related actual data. By the model which are introduced from the statistical analysis of the related data and the summary of some expert's suggestions, information protection security diagnosis target can include the information telecommunication service providers taking 5 billion won as sales in a year, and web service providers like as shopping mall site, with the personal records of 2 million subscribers.