• 한국콘텐츠학회논문지
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• 제12권12호
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• pp.427-438
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• 2012

본 연구의 목적은 생활체육 동호인의 여가활동 참가정도와 조직동일시 및 조직몰입의 관계를 밝히는데 있다. 이를 위해 서울시 거주 자전거 동호인을 모집단으로 설정하고 목적표집법을 이용하여 265명의 표본을 추출하였다. 수집된 자료는 SPSS 18.0 통계 프로그램을 이용하여 분석하였으며 도출된 결과는 다음과 같다. 첫째, 배경변인에 따라 자전거 라이딩 참가정도와 조직동일시 및 조직몰입에 부분적으로 차이가 있었다. 둘째, 배경변인 중 연령과 소득은 참가정도와 조직동일시 및 조직몰입에 부분적으로 유의한 영향을 미치는 것으로 나타났다. 셋째, 참가정도는 조직동일시를 통하여 직 간접적으로 조직몰입에 유의한 영향을 미쳤다. 이상의 연구결과의 영향력으로 볼 때, 자전거 동호인들의 조직동일시와 조직몰입을 설명하는데 연령이나 소득과 같은 배경변인이 상당히 큰 영향을 미치고 있다는 사실을 알 수 있다.

• Journal of Microbiology and Biotechnology
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• 제30권9호
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• pp.1335-1342
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• 2020

The identification of bacterial pathogens to humans is critical for environmental microbial risk assessment. However, current methods for identifying pathogens in environmental samples are limited in their ability to detect highly diverse bacterial communities and accurately differentiate pathogens from commensal bacteria. In the present study, we suggest an improved approach using a combination of identification results obtained from multiple databases, including the multilocus sequence typing (MLST) database, virulence factor database (VFDB), and pathosystems resource integration center (PATRIC) databases to resolve current challenges. By integrating the identification results from multiple databases, potential bacterial pathogens in metagenomes were identified and classified into eight different groups. Based on the distribution of genes in each group, we proposed an equation to calculate the metagenomic pathogen identification index (MPII) of each metagenome based on the weighted abundance of identified sequences in each database. We found that the accuracy of pathogen identification was improved by using combinations of multiple databases compared to that of individual databases. When the approach was applied to environmental metagenomes, metagenomes associated with activated sludge were estimated with higher MPII than other environments (i.e., drinking water, ocean water, ocean sediment, and freshwater sediment). The calculated MPII values were statistically distinguishable among different environments (p < 0.05). These results demonstrate that the suggested approach allows more for more accurate identification of the pathogens associated with metagenomes.

• Imaging Science in Dentistry
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• 제51권2호
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• pp.187-193
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• 2021

Purpose: This study aimed to assess the usefulness of machine learning and automation techniques to match pairs of panoramic radiographs for personal identification. Materials and Methods: Two hundred panoramic radiographs from 100 patients (50 males and 50 females) were randomly selected from a private radiological service database. Initially, 14 linear and angular measurements of the radiographs were made by an expert. Eight ratio indices derived from the original measurements were applied to a statistical algorithm to match radiographs from the same patients, simulating a semi-automated personal identification process. Subsequently, measurements were automatically generated using a deep neural network for image recognition, simulating a fully automated personal identification process. Results: Approximately 85% of the radiographs were correctly matched by the automated personal identification process. In a limited number of cases, the image recognition algorithm identified 2 potential matches for the same individual. No statistically significant differences were found between measurements performed by the expert on panoramic radiographs from the same patients. Conclusion: Personal identification might be performed with the aid of image recognition algorithms and machine learning techniques. This approach will likely facilitate the complex task of personal identification by performing an initial screening of radiographs and matching ante-mortem and post-mortem images from the same individuals.

• 한국환경보건학회지
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• 제37권2호
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• pp.113-123
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• 2011

Objectives: Industrial development in Korea results in a rapid increase in the number of chemicals, some of which may be responsible for toxicity to aquatic ecosystems. In addition, the types of hazardous chemicals included in industrial effluents have gradually increased. Therefore, chemical analysis alone is not enough to assess ecological effects of toxic chemicals in wastewater. Methods: In response to new regulations as whole effluent toxicity (WET) tests for effluent discharge of 15 publicly owned treatment works (POTWs) and 25 industrial effluent treatment plants in Gyeonggi-do, which will be effective from 2011, a necessity of studies emerges that investigates toxicity levels. Results: In case of the public treatment plants, none of them had exceeded the criteria for ecotoxicity. As for individual wastewater discharge facilities, on the other hand, two types were found to exceed the criteria: pulp and paper manufacturing facilities and pharmaceutical manufacturing facilities. For the pulp and paper manufacturing facilities, monitoring results could not help determine the exact toxicant identification. However, Daphnia magna inhibition effect or death was found to leave white plums, suggesting that suspended solids treated and the polymer used in coagulant dose. In case of pharmaceutical manufacturing facilities, the general water quality parameters cannot affect Daphia magna. However, conductivity and salinity can have an effect to be 14,000 ${\mu}s/cm$, 8.1‰ by salts, respectively. Toxicity Identification Evaluation (TIE) and Toxicity Reduction Evaluation (TRE) procedures results appeared to be effective for identifying toxic compounds in $Cl^{-}$ and $SO_4^{2-}$. Conclusions: It is necessary to develop control measures for water treatment chemicals and salts used for processes such as coagulation in individual wastewater discharge facilities in order to achieve the goal to protect aquatic ecosystems in public waters.

• 정보처리학회논문지C
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• 제19C권2호
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• pp.83-90
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• 2012

MANET은 유선 기반망이 구축되어 있지 않은 곳에서 운용되기 때문에 노출된 매체와 동적인 토폴로지, 중앙의 감시와 관리 결여 등으로 보안 측면에서 취약하다. 특히, 중앙에서 네트워크를 제어해 주는 중재자가 없기 때문에 악의적인 노드가 발생해도 그에 대한 탐지나 조치가 어렵다. 이와 같은 악의적인 노드는 Ad-hoc 관련 보안 연구 분야중 라우팅에 밀접하게 연관되어 있다. 따라서, 본 논문에서는 안전하고 효율적인 라우팅을 위해 악의적으로 행동하는 노드를 효과적으로 탐지하여 보안성을 더욱 높일 수 있는 기법을 제안한다. 이를 위해 일정기간 악의적인 행위를 수행하는 노드를 개개의 노드 및 이웃간의 협업을 통해 이중화하여 탐지하고, 각 노드에 대한 신뢰지수를 부여하여 관리함으로써 악의적인 노드 행위에 효과적으로 대응 할 수 있는 기법인 MBC(Identification technition of Malicious Behavior node based on Collaboration in MANET)을 제안한다. 제안한 방법의 효율성을 검증하기 위해 우리는 네트워크 시뮬레이션을 수행하였다. 이 시뮬레이션 수행결과는 제안한 방법이 기존 방법보다 악의적인 노드를 더 정확하고 신속하게 식별 가능함으로써 보다 효율적인 라우팅이 이루어짐을 보였다.

• 한국축산시설환경학회지
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• 제2권1호
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• pp.1-11
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• 1996

본 연구는 사육, 급사, 급수, 번식, 건강 관리, 환기 및 열 관리, 자료 분석 등에 대한 기계화 및 자동화의 현황과 수준을 분석 평가하고, 이를 토대로 양돈 시설의 최적화 생산 시스템 모델 개발의 연구 방향을 설정하기 위하여 수행되었으며 앞으로의 연구 방향을 다음과 같이 설정하였다. 1) 종모돈, 종빈돈, 분만돈은 단사식으로 사육하고, 자돈, 육성돈, 비육돈은 군사식으로 사육하는 것과 돈방 배열은 복열식으로 하는 것을 기준으로 한국형 환경 제어용 스라트 무창돈사를 개발한다. 2) 한국형 환경 제어용 스라트 무창돈사에 적합한 환경 제어 시스템과 분뇨 처리 시스템을 개발한다. 3) 전자식 개체식별장치를 개발한다. 4) 전자식 개체식별장치와 컴퓨터를 이용한 자동 개체 습식 급사 시스템을 개발한다. 5) 번식돈을 위한 전자식 개체식별장치에 의한 개체 관리 시스템을 개발한다. 6) 건강 관리 및 자료 분석 등을 종합 관리할 수 있는 전문가 시스템을 개발한다.

• 한국산학기술학회논문지
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• 제15권5호
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• pp.2758-2768
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• 2014

과업 및 관계갈등의 차별적 효과에 대한 연구에 따르면, 과업갈등이 혁신적 성과에 긍정적 영향을 주는 반면, 관계갈등이 혁신적 성과에 부정적 영향을 준다고 주장하고 있다. 하지만, 과업갈등과 관계갈등 간의 밀접한 상호관련성을 고려해 본다면, 혁신적 성과에 긍정적 영향을 주는 과업갈등은 관계갈등으로 전이되면서, 혁신적 성과에 부정적 영향을 줄 수 있다. 따라서 과업갈등이 관계갈등으로 전이되는 것을 약화시키는 경영관리 방식이 필요하며, 개인이 보유한 사회 정체성이고, 팀에 대한 감정적 인지적 유대인 팀 정체화는 효과적인 갈등관리 방안일 수 있다. 본 연구는 213명의 종업원들을 통해 수집한 자료를 토대로, 이러한 논리가 기업현장에서 실제로 성립되고 있음을 확인할 수 있었다. 연구결과를 토대로 연구의 시사점과 향후 연구방향을 제시하였다.

• Journal of Veterinary Science
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• 제23권1호
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• pp.17.1-17.10
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• 2022

Background: Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection aims to the consistent identification of individual objects in farms. Objectives: This study was conducted as a preliminary investigation for practical application to livestock farms. With the use of a high-performance artificial intelligence (AI)-based 3D depth camera, the aim is to establish a pathway for utilizing AI models to perform advanced object tracking. Methods: Multiple crossovers by two humans will be simulated to investigate the potential of object tracking. Inspection of consistent identification will be the evidence of object tracking after crossing over. Two AI models, a fast model and an accurate model, were tested and compared with regard to their object tracking performance in 3D. Finally, the recording of pig pen was also processed with aforementioned AI model to test the possibility of 3D object detection. Results: Both AI successfully processed and provided a 3D bounding box, identification number, and distance away from camera for each individual human. The accurate detection model had better evidence than the fast detection model on 3D object tracking and showed the potential application onto pigs as a livestock. Conclusions: Preparing a custom dataset to train AI models in an appropriate farm is required for proper 3D object detection to operate object tracking for pigs at an ideal level. This will allow the farm to smoothly transit traditional methods to ASF-preventing precision livestock farming.

• Safety and Health at Work
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• 제15권1호
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• pp.24-32
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• 2024

Background: Learning from incidents for accident prevention is a two-stage process, involving the investigation of past accidents to identify the causal factors, followed by the identification and implementation of remedial measures to address the identified causal factors. The focus of past research has been on the identification of causal factors, with limited focus on the identification and implementation of remedial measures. This research begins to contribute to this gap. The motivation for the research is twofold. First, previous analyses show the recurring nature of accidents within the Ghanaian mining industry, and the causal factors also remain the same. This raises questions on the nature and effectiveness of remedial measures identified to address the causes of past accidents. Secondly, without identifying and implementing remedial measures, the full benefits of accident investigations will not be achieved. Hence, this study aims to assess the nature of remedial measures proposed to address investigation causal factors. Method: The study adopted SMARTER from business studies with the addition of HMW (H - Hierarchical, M - Mapping, and W - Weighting of causal factors) to analyse the recommendations from 500 individual investigation reports across seven different mines in Ghana. Results: The individual and the work environment (79%) were mostly the focused during the search for causes, with limited focus on organisational factors (21%). Forty eight percentage of the recommendations were administrative, focussing on fixing the problem in the immediate affected area or department of the victim(s). Most recommendations (70.4%) were support activities that only enhance the effectiveness of control but do not prevent/mitigate the failure directly. Across all the mines, there was no focus on evaluating the performance of remedial measures after their implementation. Conclusion: Identifying sharp-end causes leads to proposing weak recommendations which fail to address latent organisational conditions. The study proposed a guide for effective planning and implementation of remedial actions.

• 한국축산시설환경학회지
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• 제8권2호
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• pp.63-72
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• 2002

In Korea, a need of automatic dairy farm management system has been increased to lower production cost and to strengthen international competition. However, the present management system was mostly relied on foreign technologies and caused some problems in post management and after-sales services. Therefore, though there is a problem of price and quality at present, domestic technologies of the management system should be developed for the long run. This study was conducted to develop an electronic identification unit for an automatic dairy farm management system. The developed system was consisted of a tag, a reader, a switching circuit, and a personal computer. The tag attachable to each individual cow was developed to transmit individual radio frequency(RF) code into the air with modulation of ASK(amplitude shift keying). And the switching circuit was added to avoid confusion on reception and transmittance. The reader attached to a feeding device was developed to transmit activating signal periodically and to identify code of the individual tag when the tag was approached to the device. The reader was consisted of an active filter, a detecter, a comparator and a microcontroller. The test result was feasible enough to apply it for the automatic farm management system and the identified maximum distance was about 37cm.