• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.269-270
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• 2023

재해, 재난 발생 시에 구조대가 건물 내부나 지하철 등, 특정 구역 내의 대피하지 못한 잔류인원을 제대로 파악하데 어려움을 겪는다. 이를 개선하고자 YOLO와 DeepSORT를 활용하여 통행자를 인식하여 특정 구역의 잔류인원을 파악하고 이를 서버를 통해 확인할 수 있는 시스템을 개발하였다. 실시간 객체인식 알고리즘인 YOLOv4-tiny와 실시간 객체추적기술인 DeepSORT 알고리즘을 이용하여 제안한 방법을 Ubuntu환경에서 구현하고, 실내 상황에 맞춰 통행자 동선을 고려해서 적용하였다. 개발한 시스템은 인식된 통행자 객체방향으로 출입을 구분하여 데이터를 서버에 저장한다. 이에 따라 재해 발생 시 구역의 잔류인원을 파악하여 빠르고 효율적으로 요구조자 위치와 인원을 예측할 수 있다.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.1
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• pp.77-85
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• 2000

To investigate the practical assessing method of pork quality, 302 carcasses were selected randomly to represent commercial conditions and were probed at 24 hr postmortem (PM) by Danish Meat Quality Marbling (MQM), Hennessy Grading Probe (HGP), Sensoptic Resistance Probe (SRP) and NWK pH-K21 meter (NpH). Also, filter paper wetness (FPW), lightness (L*), ultimate pH (pHu), subjective color (SC), firmness/wetness (SF) and marbling scores (SM) were recorded. Each carcass was categorized as either PSE (pale, soft and exudative), RSE (Reddish-pink, soft and exudative), RFN (reddish-pink, firm and non-exudative) or DFD (dark, firm and dry). When discriminant analysis was used to sort carcasses into four quality groups the highest proportion of correct classes was 65% by HGP, 60% by MQM, 52% by NpH and 32% by SRP. When independent variables were combined to sort carcasses into groups the success was only 67%. When RSE and RFN groups were merged so that there were only three groups (PSE, RSE+RFN, DFD) differentiating by color MQM was able to sort the same set of data into the new set of three groups with 80% accuracy. The proportions of correct classifications for HGP, NpH and SRP were 75%, 61% and 35% respectively. There was a decline in predication accuracy when only two groups, exudative (PSE and RES) and non exudative (RFN and DFD) were sorted. However, when two groups designated PSE and non-PSE (RSE, RFN and DFD) were sorted then the proportion of correct classification by MQM, HGP, SRP and NpH were 87%, 81%, 71% and 66% respectively. Combinations of variables only increased the prediction accuracy by 1 or 2% over prediction by MQM alone. When the data was sorted into three marbling groups based on SM this was not well predicted by any of the probe measurements. The best prediction accuracy was 72% by a combination of MQM and NpH.

• Resources Recycling
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• v.22 no.5
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• pp.20-28
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• 2013

This study was carried out to evaluate the possibility of resource recovery for municipal solid waste(MSW) that sorted by a MBT system. First, physical property of MSW was similar to wastes carried into Sudokown landfill site. However, moisture of MSW was little higher than that. As a result of BMP test using organic fraction of MSW(OFMSWs), approximately 60 ~ 80 mL $CH_4/g$-VS of methane was occurred. Compared to the other studies, the value of methane is lower. It seems to be caused that high ratio of vinyl/plastic in OFMSWs. The other BMP test using sample of MBT system located in Sudokwon landfill was conducted each physical properties. According to the result of experiment, food waste makes 193 mL $CH_4/g$-VS, and paper is 102 mL $CH_4/g$-VS. However, there was not methane production in vinyl and rubber. Additionally, others that can't sort no more show 30 m $CH_4L/g$-VS of methane production. From the result of experimental data OFMSWs has high fraction of vinyl, rubber and other substance that difficult for biodegradation. Therefore it is need to sort of them.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.566-576
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• 2017

Key-value stores proved its superiority by being applied to various NoSQL databases such as Redis, Memcached. Lookup performance is important because key-value store applications performs more lookup than insert operations in most environments. However, in traditional applications, lookup may be slow because hash tables are constructed out of linked-list. Therefore, cuckoo hashing has been getting attention from the academia for constant lookup time, and bucketized cuckoo hashing (BCH) has been proposed since it can achieve high load factor. In this paper, we introduce Sorting Cuckoo which inserts data using insertion sort in BCH structure. Sorting Cuckoo determines the existence of a key with a relatively small memory access because data are sorted in each buckets. In particular, the higher memory load factor, the better lookup performance than BCH's. Experimental results show that Sorting Cuckoo has smaller memory access than BCH's as many as about 19 million (25%) in 10 million negative lookup operations (key is not in the table), about 4 million times (10%) in 10 million positive lookup operations (where it is) with load factor 95%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3378-3384
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• 2015

The problem of fast search for raman spectrum has attracted much attention recently. By far the most simple and widely used method is to calculate and compare the Euclidean distance between the given spectrum and the spectra in a database. But it is non-trivial problem because of the inherent high dimensionality of the data. One of the most serious problems is the high computational complexity of searching for the closet codeword. To overcome this problem, The fast codeword search algorithm based on the mean pyramids of codewords is currently used in image coding applications. In this paper, we present three new methods for the fast algorithm to search for the closet codeword. the proposed algorithm uses two significant features of a vector, mean values and variance, to reject many unlikely codewords and save a great deal of computation time. The Experiment results show about 42.8-55.2% performance improvement for the 1DMPS+PDS. The results obtained confirm the effectiveness of the proposed algorithm.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.441-449
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• 2019

The purpose of this study was to find out the general type of consumer perception by defining and structuring consumers' self - awareness through the Q methodological approach to the types of youth perceived by HMR. This study focuses on the recognition of HMR as a major customer of HMR, and aims to provide information that can be considered in the HMR market by identifying consumption characteristics of youth consumers in the HMR market. To do this, the respondent classifies the statement card and analyzes the Q-sort. Q-sort, which is obtained by selecting and constructing the Q-population, Q factor analysis. (N = 10): price seeking type], the second type is [(N = 10)] which pursues the purchase by trust, (N = 2): seeking convenience], and the fourth type [(N = 3): seeking the appearance of the packaging)] Each type has its own characteristics. Each subjective opinion detected through this analysis is utilized as a basis for the follow-up study of HMR and will be provided as a marketing data of the HMR market in a future research direction.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1097-1108
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• 2011

In this paper, the area which some glasses of railway vehicle are applied to and the function & requirements of each glass would be studied, a sort of glass & up to date glasses and design propriety of railway vehicle's glasses were also researched. And then the feasible application of up to date glasses for next developing rolling stock was studied.

• The Pure and Applied Mathematics
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• v.21 no.1
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• pp.11-21
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• 2014

The present paper is concerned with the notions of Lipschitz and asymptotic stability for perturbed nonlinear differential system knowing the corresponding stability of nonlinear differential system. We investigate Lipschitz and asymtotic stability for perturbed nonlinear differential systems. The main tool used is integral inequalities of the Bihari-type, in special some consequences of an extension of Bihari's result to Pinto and Pachpatte, and all that sort of things.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1371-1374
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• 2003

This paper designs and implements of Item pool-Based Program using Visual Basic, a sort of self- study system. This paper is implemented the system which makes and remakes the test items using item-pool data with different method from an ordinary fixed form of evaluation. This system helps teachers to make a various test type of items by searching data through the item-pool and accounting it to the test items. This system will also improve the learner's understanding of the problems and desire for self-solving a problem.

• Proceedings of the KAIS Fall Conference
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• 2002.11a
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• pp.209-211
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• 2002

본 연구에서는 비교적 하드웨어의 복잡성보다는 효율적인 Routing 알고리즘을 통하여 스위칭 네트워크의 성능을 향상시킬 수 있는 Sort-Banyan을 기본으로 한 스위칭 구조를 근간으로 하여 하드웨어 구조의 개선과 그에 맞는 최적의 Routing 알고리즘을 개발하고자 한다. 따라서 고속 통신망의 스위치 네트워크를 구현하기 위해 두 단계의 패킷 분배 결정 알고리즘을 구성하고 그에 따라 분배를 결정하여 패킷이 전송될 때 출력 단에서 충돌이 발생하지 않도록 사전에 선택적으로 전송함으로서 패킷의 손실을 방지하는 패킷 스위치 네트워크를 제안한다.