• 디지털산업정보학회논문지
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• 제15권1호
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• 산업경영시스템학회지
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• 제36권2호
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• pp.25-31
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• 2013

This paper analyzed the management quality activities and performance based on industrial types. We divided the business into four industrial types, manufacturing industry, service industry, medical institution and public enterprise. We analyzed the differences of the elements of management quality in industrial types. The results show that leadership, measurement, analysis and knowledge management and workforce focus categories are not significant and strategic planning, customer and market focus, process management and performance categories are significant. This paper proposes the directions of management quality activities and performance according to industrial types based on these results.

• 한국산업융합학회 논문집
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• 제26권6_2호
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• pp.1063-1071
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• 2023

Unmanned aerial vehicles (UAVs, drones) are becoming increasingly useful in a variety of fields. Advances in UAV and camera technology have made it possible to equip them with ultra-high resolution sensors and capture images at low altitudes, which has improved the reliability and classification accuracy of object identification on the ground. The distinctive contribution of this study is the derivation of sensor-specific performance metrics (GRD/GSD), which shows that as the GSD increases with altitude, the GRD value also increases. In this study, we identified the characteristics of various onboard sensors and analysed the image quality (discrimination resolution) of aerial photography results using UAVs, and calculated the shooting conditions to obtain the discrimination resolution required for reading ground objects.

• 한국정보시스템학회지:정보시스템연구
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• 제16권1호
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• pp.201-230
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• 2007

Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

• International Journal of Aeronautical and Space Sciences
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• 제16권3호
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• pp.451-462
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• 2015

Safety is the first priority in civil aviation, and so the International Civil Aviation Organization (ICAO) has introduced and mandated the use of Safety Management Systems (SMS) by airlines, airports, air traffic services, aircraft maintenance organizations, and training organizations. The aircraft manufacturing industry is the last for which ICAO has mandated the implementation of SMS. Since SMS is a somewhat newer approach for most manufacturers in the aviation industry, they hardly believe in the value of implementing SMS. The management of safety risk characteristics that occur during early aircraft development stages and the systematic linkage that the safety risk has to do with an aircraft in service could have a significant influence on the safe operation and life cycle of the aircraft. This paper conducts a case analysis of the McDonnell Douglas MD-11 accident/incident to identify the root causes and safety risk levels, and also verified why aircraft manufacturing industry should begin to adopt SMS in order to prevent aircraft accident.

• 대한안전경영과학회지
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• 제22권4호
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• pp.35-43
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• 2020

The National Competency Standards(NCS) has been developed a good curriculum to reflect the demand in the industry. NCS is defined as systemizing the knowledge, skill, and attitude required to perform a task in the industry. It is an effort to reduce the gap between educational requirements and occupational requirements. However, when NCS is applied, the task level is changed to the title of qualification according to the policy outcomes for the government project. And, the NCS has been emphasizing the purpose of license acquisition, rather than using the standard for tasks in the industry. It means that the misuse of NSC hinders utilizing it as the original purpose of standardizing a task. It requires the customer to study the required competency unit with a no-choice option. Moreover, it makes it hard for companies or industry autonomically run the NCS. Therefore, we define the operational range in terms of the education field, the qualification field, and the career field to diffuse and apply NCS, and suggest the effective utilization method.

• 한국화재소방학회논문지
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• 제31권1호
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• pp.108-115
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• 2017

본 연구의 목적은 현행 위험물안전관리법이 위험물에 대한 저장, 취급 및 운반 등에 대한 예방정보전달(information communication)의 주요내용으로만 구성되어 있으므로 사고대응(incident response)에 대한 내용이 아주 미미함으로 초기대응에 문제점이 도출되고 있는 실정이다. 따라서 사고예방과 대응을 동시에 갖는 선진화 방법인 GHS체계로 위험물안전관리법 개선(안)을 제시하고자 한다. 또한 위험물안전관리법과 GHS제도의 위험성 분류체계가 많이 달라 제조소 등의 산업계와 수 출입 업체에 혼란을 야기 시킬 수 있으므로, 주요 선진국의 위험물 분류체계 분석을 통하여 위험물안전관리법과 GHS 분류체계의 조화방안을 제시하였다.

• Journal of the Korean Data and Information Science Society
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• 제23권2호
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• pp.235-245
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• 2012

로지스틱판별분석은 금융 분야에서 유용하게 사용되고 있는 통계적 기법으로 신용평가 시 해석이 쉽고 우수한 분별력으로 많이 활용되고 있지만 종속변수에 대한 설명변수들의 비선형적인 관계를 설명하는 부분에는 한계점이 있다. 일반화가법모형은 로지스틱판별모형의 장점과 함께 종속변수와 설명변수 사이의 비선형적인 관계도 설명할 수 있다. 그러나 연속형 설명변수의 수가 대단히 많은 경우이 두 방법은 모형에 유의한 변수를 선택해야하는 문제점이 있다. 따라서 본 연구에서는 다수의 연속형 설명변수들을 공통요인분석자혼합모형에 의한 차원축소를 통해 변환된 소수의 요인점수들을 일반화가법모형의 새로운 연속형 설명변수로 사용하여 신용분류를 하는 방법을 제시한다. 실제 금융자료를 이용하여 로지스틱판별모형과 일반화가법모형, 그리고 본 연구에서 제안한 방법에 의한 정분류율을 비교한 결과 본 연구에서 제안한 방법의 분류 성능이 더 우수하였다.

• 한국정보통신학회논문지
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• 제26권5호
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• pp.668-674
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• 2022

시각 정보를 이용한 기계 학습 기술은 주변 상황 인지, 결함 감지, 보안 그리고 사용자 분석과 같이 산업, 서비스 분야에서 활용성이 높아졌다. 그 중 CCTV 영상 분석을 통한 사용자 분석은 시각 정보를 잘 활용하는 실용적인 부분이라고 할 수 있다. 또한 이러한 임베디드 환경에서의 실용성을 높이기 위한 신경 회로망 경량화에 대한 연구가 지속되고 있다. 본 논문에서는 디스플레이형 자판기인 키오스크에서 활용할 수 있는 사람 및 얼굴 검출과 사용자의 나이 및 성별 분류 시스템을 제안한다. 제안하는 모델은 MobileNet, YOLOv2, 생략 연결을 기반으로 설계되었으며, 검출과 분류 망을 개별적으로 학습한 뒤 결합한 2-stage 구조를 띈다. 또한 주의 집중 기법을 사용하여 시스템의 성능을 향상시키고자 하였다. 제안하는 시스템에 대한 구동과 성능 평가는 소형 그래픽 처리 유닛인 Nvidia Jetson Nano에서 진행하였다.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.26.1-26.15
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• 2023

Background: The objective of this study is to investigate the differences in incidence rates of targeted diseases by classification of occupations among construction workers in Korea. Methods: In a subject-based cohort of the Korean Construction Worker's Cohort, we surveyed a total of 1,027 construction workers. As occupational exposure, the classification of occupations was developed using two axes: construction business and job type. To analyze disease incidence, we linked survey data with National Health Insurance Service data. Eleven target disease categories with high prevalence or estimated work-relatedness among construction workers were evaluated in our study. The average incidence rates were calculated as cases per 1,000 person-years (PY). Results: Injury, poisoning, and certain other consequences of external causes had the highest incidence rate of 344.08 per 1,000 PY, followed by disease of the musculoskeletal system and connective tissue for 208.64 and diseases of the skin and subcutaneous tissue for 197.87 in our cohort. We especially found that chronic obstructive pulmonary disease was more common in construction painters, civil engineering welders, and civil engineering frame mold carpenters, asthma in construction painters, landscape, and construction water proofers, interstitial lung diseases in construction water proofers. Conclusions: This is the first study to systematically classify complex construction occupations in order to analyze occupational diseases in Korean construction workers. There were differences in disease incidences among construction workers based on the classification of occupations. It is necessary to develop customized occupational safety and health policies for high-risk occupations for each disease in the construction industry.