• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.251-257
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• 2022

Self-driving vehicles are a type of smart vehicle with the help of ICT technology, which means a vehicle that operates without the intervention of a driver.Vehicles with vehicle safety communication technology (V2X) applied use information detected from various sensors or other vehicles/infrastructures to enable the smart vehicle to accurately and quickly predict the driver's potential danger situation, contributing to more stable autonomous driving. In this paper, among V2X communication technologies, a vehicle-to-vehicle communication (V2V) simulation communication technology is used to present a scenario for preventing collisions in autonomous vehicles. A vehicle collision prevention system based on V2V simulated communication was implemented and the suggested collision prevention application scenario was demonstrated. The suggested collision prevention utilization scenario can be considered as one application case of V2V communication technologies that are currently being developed/applied.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.518-530
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• 2013

Purpose: Purpose: The purpose of this study was to provide basic data to develop sexual abuse prevention educational programs for elementary school students. Method: Ninety three third, fourth, fifth, and sixth grade elementary school students were interviewed for content analysis on sexual abuse. Results: The content recognized by elementary school students about sexual abuse was as follows: 1) The concepts of sexual abuse were 'compulsory contact', 'harassment', 'school violence', 'pornography', 'unpleasant sexual behavior' 'crime', and 'don't know'. 2) The causes of sexual abuse were 'intolerance of impulse', 'play', 'bullying', 'financial needs', 'home education and the environment', 'negligence of the victim', and 'don't know'. 3) The methods how to prevent and deal with sexual abuse were 'sexual education', 'avoidance of danger', 'protection', 'self-assertion', 'treat with kindness', 'strengthening of penalties', 'asking for help and notification', 'report', 'treatment and counselling', 'escaping', and 'don't know' 4) Educational needs for prevention of sexual abuse were 'more detailed sexual abuse prevention education', 'how to recognize sexual abuse', 'how to protect oneself', 'interpersonal relationship', 'practical education', and 'none'. Conclusion: These results suggest that based on elementary school students' recognition of sexual abuse, a sexual abuse prevention educational program and content should be organized.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.4
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• pp.491-498
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• 2003

The advanced computer network technology enables connectivity of computers through an open network environment. There has been growing numbers of security threat to the networks. Therefore, it requires intrusion detection and prevention technologies. In this paper, we propose a network based intrusion detection model using FCM(Fuzzy Cognitive Maps) that can detect intrusion by the DoS attack detection method adopting the packet analyses. A DoS attack appears in the form of the Probe and Syn Flooding attack which is a typical example. The SPuF(Syn flooding Preventer using Fussy cognitive maps) model captures and analyzes the packet informations to detect Syn flooding attack. Using the result of analysis of decision module, which utilized FCM, the decision module measures the degree of danger of the DoS and trains the response module to deal with attacks. For the performance comparison, the "KDD′99 Competition Data Set" made by MIT Lincoln Labs was used. The result of simulating the "KDD′99 Competition Data Set" in the SPuF model shows that the probe detection rates were over 97 percentages.

• International Journal of Contents
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• v.13 no.2
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• pp.50-56
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• 2017

The number of accidents in school zone is decreasing than before with the introduction of strengthening traffic safety policy since January 2011, but the danger still exists. The School zone sign is widely known to have much effect in protecting children from risks of traffic accidents, but design improvement is being demanded to improve a sense of safety and legibility of safety signs in School zone due to the lack of understanding on the safety signs in crosswalk and School zone. This study analyzed differences in shape and color of existing safety signs through a case analysis of traffic developed countries as America, England, Japan, and Germany and suggested improvement plans for drivers to clearly perceive the school zone. For improvement methods, this study suggested the importance of delivering definite and unified warning message for school zone to drivers by using indication sign and caution sign together, and to use yellow, a safety color, and to unify the safety sign into triangle shape that symbolizes warning and caution to conform the international standards. Actual design production and experiment through improvement plans are needed in the future, and it is expected to secure safety of children and to provide international standardization of safety signs in school zone.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.83-90
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• 2010

The purpose of this study is to establish the standard of fire lane design to improve the performance of disaster prevention in local area. To accomplish it, we have focused on three research methods as below: first, we have expected disaster occurrence based on emergency tendency in local area; second, we have verified fire lane routes design through fire lane modeling and network analysis; third, we have quantitatively examined a possibility of danger of fire lanes through current road network modeling and analysis. The result of this study could be helpful to effective fire lane designs and quantitative analyses.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.4
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• pp.15-20
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• 2024

Purpose: Climate change is greatly affecting the frequency and intensity of fires around the world. The main effects of climate change on fires are rising temperatures, dry seasons and extreme droughts, changes in precipitation, increased strong winds, extended fire danger periods, and changes in natural ecosystems. Several factors due to climate change are increasing the risk of large-scale fires, such as wildfires. Research design, data and methodology: Rising temperatures caused by climate change will make forests and grasslands drier, make it easier for wildfires to occur in drier environments and spread quickly to wider areas, and the generated wildfires will release large amounts of greenhouse gases into the atmosphere, such as carbon dioxide (CO₂), and the released greenhouse gases will strengthen the global greenhouse effect, further raising the temperature. As temperatures rise, the risk of wildfires increases in drier environments, and this process is repeated, leading to a vicious cycle of intensifying climate change as more fires occur and more greenhouse gases are released. Results: In conclusion, climate change is increasing the risk of fire occurrence and this phenomenon is expected to become more frequent and severe in the future. Conclusions: In order to cope with the increasing fire risk caused by climate change, fire prevention and management. Fire detection and response systems need to be strengthened, supportive policies and international cooperation are needed to restore ecosystems, and these measures, along with fire prevention, management and countermeasures, should take into account long-term climate change and adaptation as well as short-term responses.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3363-3367
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• 2016

Background: Breast cancer (BC) is a major health issue worldwide as well as in Pakistan. All women belonging to any race, ethnicity or lineage are in danger of developing breast cancer. Significant factors influencing the development of breast malignancies are the genetic background, environmental conditions, reproductive parameters, the consequences of female hormones both intrinsic and extrinsic, alteration of immune status, and biologic determinants. Materials and Methods: Overall 150 biopsy proven patients were included in the study. Samples were submitted for histopathology and determination of estrogen and progesterone receptor expression and HER-2/neu status. Associations with other characteristics like age, tumor stage, node involvement, histological grade were also studied. Results: Mean age at presentation was 46.7 years. The majority had invasive ductal carcinoma, 100 (84.7%), and were in stage pT3, 54 (45.7%). Important relationships (P<0.05) were found among ER, PR positivity, and Her 2 neu overexpression. However, no noteworthy link was identified amongst ER, PR, Her 2 neu and tumor grade, stage, age, lymph node involvement except for the menopausal status. Conclusions: In summary, breast cancer patients featured an advanced stage of disease, more lymph node involvement, and moderately high grade tumors and with more estrogen, progesterone receptor and HER-2 positive tumors.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.660-663
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• 2003

The advanced computer network technology enables connectivity of computers through an open network environment. There has been growing numbers of security threat to the networks. Therefore, it requires intrusion detection and prevention technologies. In this paper, we propose a network based intrusion detection model using Fuzzy Cognitive Maps(FCM) that can detect intrusion by the Denial of Service(DoS) attack detection method adopting the packet analyses. A DoS attack appears in the form of the Probe and Syn Flooding attack which is a typical example. The Sp flooding Preventer using Fuzzy cognitive maps(SPuF) model captures and analyzes the packet information to detect Syn flooding attack. Using the result of analysis of decision module, which utilized FCM, the decision module measures the degree of danger of the DoS and trains the response module to deal with attacks. The result of simulating the "KDD ′99 Competition Data Set" in the SPuF model shows that the Probe detection rates were over 97 percentages.

• Journal of the Korean Society of Safety
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• v.33 no.1
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• pp.16-21
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• 2018

Cause analysis of accidents associated with industrial machines and devices is essential to improve the effectiveness and the efficiency of industrial safety system in Korea. This study focuses on cause analysis of accidents associated with industrial machines and devices. In particular, analysis of abstracts of accidents which are written in descriptive format and, therefore, inherently unstructured and exhibits characteristics of big data is suggested and tested. Automatic analysis of such big data performed in this study reveals the consistent results with the manual analysis results in previous studies. Analysis results also suggest that incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations will guarantee more effective prevention of industrial accidents at the early stage of generation of danger.

• Proceedings of the KIEE Conference
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• 2003.07c
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• pp.1964-1966
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• 2003

Lighting in the tunnel makes for safe driving of cars taking into account of change in perception arisen in the sight of drivers of cars entering into and passing tunnel, drivers' mental reaction and unique circumstances of a tunnel. There are many variables to satisfy safe driving in the tunnel. Since tunnels are mostly located in the mountainous area and illumination at the approach part differs largely depending on the surrounding circumstances, a standard different from that of common lighting is applied. An accidentin the tunnel, which involves same danger as in underground, may lead to a large mishap. Therefore, control by sensors inside and outside of tunnel ensures prevention of an accident through control of illumination at the approach part and inside of tunnel. It is very important in the aspect of saving energy since such control is available to reduce depreciation factor resulted from early excessive intensity of illumination.