• Journal of Korea Multimedia Society
• /
• v.22 no.8
• /
• pp.823-831
• /
• 2019

In recent years, there has been developed systems such as a surveillance system and access control using a face recognition function instead of a password or an RFID chip, thereby reducing the risk of falsification. Moreover, deep learning technology has been applied to real-time face recognition technology in video, so it makes possible the development of access control system that improves the accuracy of recognition and efficiency of management. In this paper, we propose a real-time access management system based on face recognition using ResNet. The system is based on web server, which make it possible to manage the access by recognizing the person of the image through the camera and access information stored in the database. It can be accessed by a user application to receive various information. The implemented system identifies a person in real time and allows access control by accurately distinguishing whether they are members or not, and the test results can recognize in 0.2 seconds. The accuracy of recognition rate is up to about 97% depending on the experiment environment. With this system, access can be managed quickly and effectively, even many people rush to it.

• Journal of Navigation and Port Research
• /
• v.36 no.4
• /
• pp.279-284
• /
• 2012

This study aims to identify the degree of safety when mariners take their actions in several different situations. We have carried out many experiments to observe mariners' behavior and then measured the safety level based on their actions to avoid dangerous situations of ships collision. One of the most important actions that mariners have to take, either as their daily routine or when they are in a collision situation and then want to avoid that situation is the lookout. In this paper, behaviors on the lookout have been defined as a standard sequence of three steps which are "time of first detection", "time of recognition as risky vessel" and "time of starting avoiding action", and the suitability and applicability of the definition have been shown. And also we propose the risk assessment on ships collision and the recommendation for reducing ships collision at sea. Some analyzing results and the application of the results are reported. By combining these knowledge and some systematic studies, we propose the risk assessment on ships collision and the recommendation for reducing ships collision at sea.

• Proceedings of the IEEK Conference
• /
• 2002.07a
• /
• pp.425-428
• /
• 2002

The technology of Computer Graphics (CG) has been in great progress for almost 20 years and has proven to be a valuable tool for a broad variety of fields, including nuclear engineering. To work in any hazardous environment for example radiation field is particularly challenging because the danger is not always visually apparent. In this study as the application of CG to nuclear engineering field, we proposed to develop a radiation risk recognition aided system in which various radiation information; radiation risks, radiation distribution, hazard information and so on, were visualized by CG. The system used the server and client system. In the server there were two parts; one (main-server) was the database part having various data and the other (sub-server) was the visualization part visualizing the human phantom by POV-Ray. In the client there was the input and output part. The outputs from the system were various radiation information represented by coloring, circle graph and line graph intuitionally. The system is useful for a broad range of activities including radiation protection, radiation management, dose minimization, and demonstration to the public.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• v.21 no.3
• /
• pp.214-217
• /
• 2018

Inflammatory bowel disease (IBD) is a well-recognized risk factor for thrombotic events in adults but data on children are scarce. In the great majority of adult patients, thrombotic events are usually deep vein thrombosis and pulmonary embolism. Other sites such as jugular veins are extremely rare. We present a case of Lemierre syndrome in an adolescent girl with active ulcerative colitis and discuss possible risk factors. This is the first reported case of severe Lemierre syndrome with thrombus extension to cranial veins in a patient with ulcerative colitis. Early recognition of Lemierre syndrome in patients who present with rapidly worsening symptoms of neck pain, fever and signs of pharyngitis is imperative because it increases a chance of favorable prognosis. It is important for pediatricians treating IBD patients not to underestimate possible thrombotic events in children with IBD. Recognition of additional risk factors is crucial for prompt diagnosis and adequate treatment.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.7
• /
• pp.1380-1385
• /
• 2009

This paper was studied about the aging judgment method by ultraviolet rays image to happen in electric power equipment using ultraviolet rays camera. We established the aging judgment method as follows; 20% within of risk factor of insulation state of electrical facility that ultraviolet rays image does not show is "good or recognition". 30$^{\sim}$50% within of risk factor is "check", 50$^{\sim}$60% within of risk factor is "inspection" and 60% above of risk factor is "replacement". This method will be utilized for the inspection about electrical facilities.

• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.172-174
• /
• 2004

This paper proposes an integerized approach to solve PCA(Principal Component Analysis) feature extract procedure mainly used for the face recognition. A simple conversion to integer values has the risk to reduce the precision compared to that of the floating points operations. We integerize the PC variables by normalizing with the maximum of them, and show the efficiency of the proposed scheme by comparing the results to those of the float/double precisions. The integerized scheme is expected to be an efficient way for the real-time implementation of PCA's recognition stage, because integer operator is more desirable than floating point ones. Further research is to find a way to implement face detection and to measure the distances from the stored PCs for the full real-time face recognition.

• International Journal of Internet, Broadcasting and Communication
• /
• v.7 no.2
• /
• pp.51-55
• /
• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing dangerous situation. The proposed method firstly extracts the facial region using Harr-like technique from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, detects facial expression, and recognizes dangerous situation. The proposed method is evaluated for MUCT database image and web cam input. The proposed method produces good results of facial expression and discriminates dangerous situation well and the average recognition rate is 91.05%.

• Korean Journal of Adult Nursing
• /
• v.22 no.5
• /
• pp.537-551
• /
• 2010

Purpose: This study was designed to identify meaningful themes related to the recognition of lifestyle risk factors and barriers in seeking treatment following an acute event of first-time acute myocardial infarction. Methods: A methodological mixed method of thematic content analysis and a quantitative analysis was used. The sample consisted of 120 male patients < 65 years of age who agreed to be in the study were interviewed using a semistructured during 2008-2009. Data were analyzed according to the procedure of thematic content analysis and the meaningful themes were coded into SPSS data for quantitative analysis. Results: Pre-hospital delay greater than three hours reported by 58.3% (n=70) of the sample and similarly 63.3% had no recognition about their symptoms as cardiac in origin. The mean number of risk factors was $3.9{\pm}1.8$ out of 11 when lifestyle and psychosocial factors were included. From the interview data among the 70 patients delayed greater than three hours, thirty-five themes categorized into 12 main themes influenced the delayed decision which was identified according to personal-cognitive, socio-cultural, and contextual factors. Conclusion: Health care providers should consider these themes in designing individual interventions to make lifestyle changes and to facilitate more prompt decisions to seek care.

• The Journal of the Korea Contents Association
• /
• v.10 no.5
• /
• pp.436-445
• /
• 2010

The purpose of this research is to know what factors have impacts on their risk perception and attitude in risk communications. This research shows the research findings that the determinant factors of risk perception are the possibility to control the risk, benefits of recognition, the specialty of risk management, and the usefulness of information about the risk. And also the results have shown that the determinant factors of risk attitudes are the possibility to control the risk, the understanding of science and technology, the familiarity with the risk, the usefulness information about the risk, the accuracy of information, and the initiative in the protection of citizens from the risk. As the results have indicated, common determinant factors are the usefulness of information about the risk and the possibility to control the risk. Both of them that affect risk perception and attitudes on electromagnetic waves are important factors in risk communication research. Therefore this study shows that what factors suppose to be considered important in risk communication process about risk of electromagnetic waves.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.450-457
• /
• 2022

The construction industry is demanding, dynamic, and complex making it difficult for workers to recognize hazards. The nature of construction tasks exposes workers to several critical risk factors, such as a high rate of exertion and fatigue. Recent studies suggest that fatigue may impact hazard recognition in the construction industry. However, most studies rely on subjective measures when assessing the relationship between physical fatigue and hazard recognition, limiting such studies' efficacy. Thus, this study examined the relationship between physical fatigue and hazard recognition using a controlled experiment. Worker fatigue levels were captured using physiological data and a subjective exertion scale. The findings confirmed that physical exertion plays a significant role in hazard recognition skills (p < 0.05). This research contributes to theory and practice by providing a process for objectively assessing the influence of physical fatigue on worker safety and providing construction professionals with some critical insight needed to improve workplace safety.