• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.6
• /
• pp.1199-1203
• /
• 2012

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

• Journal of the East Asian Society of Dietary Life
• /
• v.24 no.4
• /
• pp.481-487
• /
• 2014

This study examined microbiological contamination of street foods(kimbab, fish cake, Korean sausage) by microbiological analysis. A collection of 360 samples of street foods was obtained seasonally in four major cities(Seoul, Daejeon, Busan, Gwangju) in Korea. Aerobic mesophilic counts ranged between 1.0 and 9.9 log CFU/g, with the highest count recorded from Kimbab. Counts of psychrotrophic microorganisms were as high as those of mesophilic microorganisms. Total coliform populations between <1.0 and 7.5 log CFU/g were found in 53.6% of samples. Escherichia coli 4.4%, Staphylococcus aureus 7.8% and Clostridium perfringens 3.3%. Salmonella spp. and Listeria monocytogenes were not detected in any of the samples. Kimbab purchased in spring and summer showed higher S. aureus and Cl. perfringens contamination rates. Microbial contamination levels determined in the present study may be used as the primary data to execute microbial risk assessment of street foods.

• Journal of Software Assessment and Valuation
• /
• v.17 no.2
• /
• pp.83-89
• /
• 2021

In this paper, we propose an algorithm that provide services to consumers who want to conduct business by scientifically and systematically analyzing the number of pedestrians in a specific area over a specific period of time. In this paper, we proposed the algorithm to analyze the commercial area using the pedestrian-detect algorithm in the particular region using YOLO, one of the deep learning techniques. And with one image per minute in the images, the number of pedestrians is identified and this information is used for the analysis of business district on interesting area and time, systematically and objectively.

• Journal of Sericultural and Entomological Science
• /
• v.29 no.1
• /
• pp.48-52
• /
• 1987

The fauna and the distribution of plant parasitic namatodes were investigated by smapling about five hundred grams of soil around roots of mulberry trees from 929 mulberry fields in Korea. Of fourteen genera detected on mulberry fields, Paratylenchus aciculus, P. projectus, P. morius, Helicotylenchus dihystera, Meloidogyne arenaria were found to be parasitic to mulberry. Among them Paratylenchus species were the most abundant in mulberry fields, but Tylenchorhynchus sp., Aphelenchus sp., Helicotylenchus sp., and Meloidogyne sp. were also observed in high frequency. Meloidogyne species were observed in high frequency in Jeonbuk, Gyeonggi and Jeonnam, Helicotylenchus sp., in Gyeongnam and Gyeonggi, Xiphinema sp., in Jeonbuk and Jeonnam, and Paratylenchus sp., in Gyeonggi, Gyeongbuk, Gyeongnam, and Jeonnam. The growth of mulberry was poor as the increase of density of Paratylenchus sp.

• Journal of Food Hygiene and Safety
• /
• v.34 no.6
• /
• pp.534-541
• /
• 2019

his study assessed microbial contamination of leeks and leek-cultivated soil. Leeks and leek-cultivated soil were collected in A and B regions and accounted for 39 and 33 samples, respectively. All of the samples were analyzed for the presence of sanitary indicator bacteria (total aerobic bacteria, coliforms and Escherichia coli), Salmonella spp., E. coli O157:H7, Listeria monocytogenes, and Bacillus cereus. In A and B region, the total aerobic bacteria was in the range of 5.87-8.78 log CFU/g for leeks and 5.94-8.45 log CFU/g for leek-cultivated soil. The coliform in leeks and leek-cultivated soil was in the range of 1.20-7.36 log CFU/g and 2.45-5.87 log CFU/g, respectively. B. cereus was detected from some of the samples while other pathogens were not detected. This study provides important background information on the microbiological safety of fresh vegetable cultivation environments.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06a
• /
• pp.466-468
• /
• 2011

본 논문은 영상 획득 환경이 자유로운 상황에서 차량 번호판 영역을 검출하기 위한 새로운 방법을 제안한다. 입력 영상에서 SIFT 지역특징을 추출하고 미리 학습한 분류기를 통해 각 지역특징이 번호판 내부에 속하는지 번호판 외부에 속하는지를 분류한다. 번호판 내부로 분류된 지역특징이 밀집한 영역이 번호판 영역으로 검출된다. 실험을 통해 제안하는 지역특징 분류 방법이 높은 성능으로 번호판 내/외부를 분류함을 보인다.

• Korean Journal of Environmental Agriculture
• /
• v.35 no.4
• /
• pp.270-277
• /
• 2016

BACKGROUND: Significant amount of bisphenol A has been released from the manufacturing process of plastics, epoxy resins, dental material and flame retardants. Bisphenol A has been detected at trace levels in wastewater, surface water, landfill leachate and drinking water. However, the residual survey of bisphenol A has not been performed in agricultural reservoir beside agricultural environment cultivating crops. This study was conducted to monitor the residual bisphenol A in national agricultural reservoirs and understand a level of contamination of bisphenol A in the agricultural environment in Korea. METHODS AND RESULTS: The water and water sediment were collected at agricultural reservoirs in Chungnam, Chungbuk, Kyunggi, Jeonnam, Jeonbuk, Kyungnam and Kyungbuk province. Bisphenol A was analyzed by the LC-MS/MS with triple quad 4500. The recovery of water and water sediment in the agricultural reservoirs showed the level of 95.7~97.2% and 91.5~100.3%, respectively. CONCLUSION: Bisphenol A was detected at the level of $0.05{\mu}g/L{\sim}0.18{\mu}g/L$ and $0.1{\mu}g/kg{\sim}34{\mu}g/kg$ in water and water sediment of the reservoirs, respectively. Based on the results, the residue of bisphenol A will be tried in the crops surrounding these agricultural reservoirs where bisphenol A detected above $10{\mu}g/kg$ of bisphenol A.

• The Korean Journal of Food And Nutrition
• /
• v.14 no.2
• /
• pp.132-137
• /
• 2001

To know a degree of pollution in agricultural products cultivated around 4 unworked mines located in Chollanam-Do, we investigated a concentration of trace metal to provide the basic data for its residual limits. 28 samples of seven kinds of agricultural products (lettuce, onion. potato, radish, pepper. pumpkin, bean) collected from 4 unworked mines located in Chollanam-Do in 1999 were analyzed by Mercury Analyzer for mercury and Atomic Absorption spectrophotometer for Pb, As, Cd. Cu, Mn, and Zn. Hg contents were detected N.D. ∼trace level (0.01 ppm and less) and As contents were detected N.D. ∼ 0.038 ppm but most of samples were not detected. Cd contents were detected N.D∼0.101 ppm. The results of Hg, As, Pb and Cd content showed that for all the 7 species of agricultural products studied, none have accumulated levels dangerous enough to pose health problems. The average contents of Cu were 4.356∼10.624 rpm in bean. the Mn were 4.332∼24.385 ppm in lettuce and the Zn were 4.072 ∼ 20.715 ppm in bean, respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.151-152
• /
• 2012

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.11a
• /
• pp.957-960
• /
• 2017

디지털 비디오의 발전이 가속됨에 따라, 비디오 샷 경계 검출은 비디오 분석 및 카타로깅 등 여러 분야에 있어 필수적인 요소가 되었다. 기존 샷 경계 검출 방법들은 잠음이나 카메라 혹은 물체의 이동, 그리고 색상의 급격한 변화 등에 민감한 성능을 보인다. 본 논문에서는 개선된 지역 방향 패턴 기반(eLDP) 검출 방법을 제안한다. 제안하는 방법은 RGB 색상의 일부와 eLDP의 특징을 결합해 더욱 강인한 샷 경계 검출 성능을 보였다. 또한, 셋톱박스 품질검사 시 필요한 채널 간 동기화의 신뢰성을 높였고, 실시간으로 검사하면서도 안정적인 샷 경계 검출이 가능함을 입증하였다.