• 전자공학회논문지
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• 제50권5호
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• pp.150-164
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• 2013

WAC (Wholesale Application Community) 기반 모바일 웹 애플리케이션의 보급이 널리 확산됨에 따라 자바스크립트와 HTML (Hyper Text Markup Language)로 구현된 애플리케이션의 처리 성능이 점차 이슈화되고 있다. 단순한 처리 기능만을 갖는 구조라면 현재 통용되는 브라우저에서도 문제가 없지만 자바스크립트의 처리량이 점점 증가 할수록 브라우저의 처리 부담 또한 가중된다. 현재 상용화 되어 있는 모바일 브라우저에서는 자바스크립트의 처리에 시간 및 용량의 제한을 두고 있다. 이러한 문제점의 해결을 위한 대안으로서 HTML 5에서는 기존의 자바스크립트에서는 지원하지 않는 멀티 스레드 구현을 위한 Web Worker를 제공하고 있다. Web Worker는 싱글 스레드에서 처리하는 일정 부분을 별도의 스레드를 통해서 처리하는 메커니즘을 제공한다. 하지만 이는 모바일상의 Native 애플리케이션만큼의 처리 능력을 보장하는 것이 아니며 근본적인 처리 속도 개선 방법으로는 미흡하다. Cyclostorm은 이러한 모바일 상에서의 자바스크립트 처리를 클라우드 상의 컴퓨터 서버에 이전함으로써 모바일 클라이언트로서의 자원적 한계를 극복하고 고성능 처리 서비스를 제공하여 Native 애플리케이션 만큼의 성능을 보장한다. 성능 평가 실험에서 Cyclostorm은 기존의 모바일 브라우저에서의 자바스크립트 처리보다 최대 6배 빠른 처리 속도를 보이고 있고 HTML 5의 Web Worker보다는 3~6배정도의 빠른 성능을 보이고 있다. 또한 메모리 부분에서도 서버 측에 존재하는 메모리를 사용하기 때문에 전반적으로 기존의 방법보다는 낮은 사용량이 측정 되었다. 본 논문에서는 현재 모바일 산업에서 화두가 되고 있는 WAC 기반에서 모바일 브라우저가 갖고 있는 한계를 극복하고 기존 웹 애플리케이션의 성능을 획기적으로 개선할 수 있는 클라우드 컴퓨팅 서비스인 Cyclostorm을 소개한다.

• 한국융합학회논문지
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• 제8권11호
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• pp.71-76
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• 2017

우리 사회는 산업 전반에 걸쳐 빠른 성장을 보이고 있으나 핵가족화와 고령화 시대에 접어들고 있어 노인에 대한 요양 서비스와 같은 사회복지 서비스의 수용가 급격하게 증가하고 있는 추세이다. 그러나 노인과 관련된 요양시설에 종사하고 있는 사회복지사들의 직무가 명확하지 않아 직무 스트레스가 발생되고 있으며, 직무 만족도가 현저하게 낮아지고 있는 상황이다. 이에 본 논문에서는 노인요양시설의 사회복지사 직무와 관련하여 복지 서비스를 실천함에 있어 보다 좋은 환경 및 표준화된 절차에 의하여 서비스에 집중할 수 있도록 직무와 융합한 지식 기반의 관리시스템을 제안한다. 제안 시스템을 통하여 사회복지사들이 자기 개발 및 정보 공유를 통하여 신속한 업무 파악과 직무 스트레스에서의 탈피에 의한 업무 만족도를 향상시킬 수 있을 것으로 기대된다.

• 한국대기환경학회지
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• 제16권2호
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• pp.129-140
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• 2000

Simulation study has been carried out to analyze the air flow supplying from the heat pump system inside the tollgate booth by using the Phoenix computer simulation program. Through this simulation analysis we can find the problem of present tollgate booth in terms of air flow and recommend an improved model also simulate this model. Final results as follows; It was turned out that the fresh air conditioning is not provided to the worker effectively due to the improper location of inlet and outlet in the present tollgate booth in addition to that the air curtain system applied in the booth lowered air circulation from outside. The improved model was suggested first to increase the air curtain effect by downsizing the window and by installation of the air curtain suction line to reduce the induced outdoor air second to supply the fresh air to the worker directly by relocation of the inlet and outlet of supplying air. With these improved modifications better results have been reached in terms of air flow inside the booth. Next through the air flow simulation of outside booth the contaminated outdoor air has been easuily infiltrating into the booth through the window because of its rectangle shape. Stream like shape of booth has been proposed through the computer simulation as an alternative shape of tollgate booth for a new design.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권2호
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• pp.94-99
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• 2008

The replica of silicone mold which can produce the test samples and the market-displayable products without making expensive metallic patterns is advantageous because it incurs less cost than the ordinary method that manufactures the products from the metallic patterns. However, the production of the products using silicone mold should require a technician with professional knowledge about the metallic patterns every time. Thus we tried to judge whether a forming analysis software for iron molding can be applied to silicon molding in this paper. In other words, this paper suggests a method to use a computer simulator from the designing step of the silicone mold, which is the most important part in making replica using simple silicone molds to the step of pouring the cast. The paper shows that if the know-how of a professional worker is provided in advance, an amateur worker can easily produce silicone molds of the best quality, the defective rate of the products will be decreased, and the replica will have a more complete status. By doing so, we suggested a possibility for reducing the delivery time at the production sites and for improving the product quality.

• 한국안전학회지
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• 제34권6호
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• pp.29-37
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• 2019

Since construction sites are exposed to outdoor environments, working conditions are significantly dangerous. Thus, wearing of the personal protective equipments such as safety helmet is very important for worker safety. However, construction workers are often wearing-off the helmet as inconvenient and uncomportable. As a result, a small mistake may lead to serious accident. For this, checking of wearing safety helmet is important task to safety managers in field. However, due to the limited time and manpower, the checking can not be executed for every individual worker spread over a large construction site. Therefore, if an automatic checking system is provided, field safety management should be performed more effectively and efficiently. In this study, applicability of deep learning based computer vision technology is investigated for automatic checking of wearing safety helmet in construction sites. Faster R-CNN deep learning algorithm for object detection and classification is employed to develop the automatic checking model. Digital camera images captured in real construction site are used to validate the proposed model. Based on the results, it is concluded that the proposed model may effectively be used for automatic checking of wearing safety helmet in construction site.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.88-95
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• 2022

Detecting anomalies in human movement is an important task in industrial applications, such as monitoring industrial disasters or accidents and recognizing unauthorized factory intruders. In this paper, we propose an abnormal worker movement detection system based on data stream processing and hierarchical clustering. In the proposed system, Apache Spark is used for streaming the location data of people. A hierarchical clustering-based anomalous trajectory detection algorithm is designed for detecting anomalies in human movement. The algorithm is integrated into Apache Spark for detecting anomalies from location data. Specifically, the location information is streamed to Apache Spark using the message queuing telemetry transport protocol. Then, Apache Spark processes and stores location data in a data frame. When there is a request from a client, the processed data in the data frame is taken and put into the proposed algorithm for detecting anomalies. A real mobility trace of people is used to evaluate the proposed system. The obtained results show that the system has high performance and can be used for a wide range of industrial applications.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.721-727
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• 2022

Construction safety remains an ongoing concern, and project managers have been increasingly forced to cope with myriad uncertainties related to human operations on construction sites and the lack of a skilled workforce in hazardous circumstances. Various construction fatality monitoring systems have been widely proposed as alternatives to overcome these difficulties and to improve safety management performance. In this study, we propose an intelligent, automatic control system that can proactively protect workers using both the analysis of big data of past safety accidents, as well as the real-time detection of worker non-compliance in using personal protective equipment (PPE) on a construction site. These data are obtained using computer vision technology and data analytics, which are integrated and reinforced by lessons learned from the analysis of big data of safety accidents that occurred in the last 10 years. The system offers data-informed recommendations for high-risk workers, and proactively eliminates the possibility of safety accidents. As an illustrative case, we selected a pilot project and applied the proposed system to workers in uncontrolled environments. Decreases in workers PPE non-compliance rates, improvements in variable compliance rates, reductions in severe fatalities through guidelines that are customized according to the worker, and accelerations in safety performance achievements are expected.

• 한국건축시공학회지
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• 제23권1호
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• pp.81-92
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• 2023

According to the 2020 industrial accident reports of the Ministry of Employment and Labor, the number of fatal accidents in the construction industry over the past 5 years has been higher than in other industries. Of these more than 50% of fatal accidents are initially caused by fall accidents. The central government is intensively managing falling/jamming protection device and the use of personal protective equipment to eradicate the inappropriate factors disrupting safety at construction sites. In addition, although efforts have been made to prevent safety accidents with the proposal of the Special Act on Construction Safety, fatalities on construction sites are constantly occurring. Therefore, this study developed a model that automatically detects the wearing state of the worker's safety helmet and belt using computer vision technology. In considerations of conditions occurring at construction sites, we suggest an optimization method, which has been verified in terms of the accuracy and operation speed of the proposed model. As a result, it is possible to improve the efficiency of inspection and patrol by construction site managers, which is expected to contribute to reinforcing competency of safety management.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.987-991
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• 2005

The Aerial platform Truck is widely used for work in high place with the aerial platform. The most important thing is that worker's safety and worker must be able to work with trustworthiness so it needs to be verified its stiffness, deflection of boom, and dynamic condition concerned with a rollover accident. It should have an analytical exactitude because it is directly linked with the worker safety. In this point, we are trying to develop a proper CAE analysis model concerned with a rollover safety, bending stress and deflection for load. The Aerial platform Truck have a dynamic characteristics by load and moving of boom in the work field, so its static and dynamic strength analysis, structural mechanics are very important. Therefore, we evaluate the safety of each boom to calculating its stress, deflection. A computer simulation program is used widely for doing applying calculation of stiffness and structural mechanics, then finally trying to find a optimum design of the Aerial platform Truck.

• 공학교육연구
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• 제12권3호
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• pp.31-40
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• 2009

본 연구에서는 여성정보인의 여러 인구통계학적 속성과 더불어 여성정보인이 정보화에 대한 기술적 애로사항이 무엇이며, 이에 대한 해결책으로 IT 교육에 대한 수요 및 필요로 하는 IT 교육에 대해 살펴보고, 향후 업무와 관련된 활동에 있어 여성 정보인에게 선행되어야 할 소양이 무엇인가를 설문조사를 통해 분석하였다. 특히, 데이터마이닝 기법의 연관성분석을 사용하여 여성정보인 협회에서 제공하여야 하는 교육프로그램과 기 취업자 관점에서 후배 여성정보인이 취업 시 갖추어야 할 분야에 대한 다양한 분석을 시도하였다. 자료분석은 SAS의 데이터마이닝 툴을 사용하였다.