• Analytical Science and Technology
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• v.28 no.4
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• pp.288-298
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• 2015

A distribution study of glitter was conducted from a local university building. The potential recipient surfaces chosen were the 1,000 chairs kept in 16 separate classrooms of the building. The surface of chairs contacting with buttocks and back of users were tape lifted with commercial adhesive tapes, and the surface of adhesive tapes were examined with a stereomicroscope to locate the glitters. 12 glitter particles were found from 11 chairs kept in 16 classrooms of a building. This result indicates that the possibility of glitter finding from Korean violent crime scene is high. The 12 glitters found from the chairs were analyzed with a stereomicroscope and an FTIR spectrophotometer to find the matching glitter. The stereomicroscope was used for the observation of the shapes, dimensions, colors and holograms of each glitter, and the FTIR spectrophotometer was used for the analysis of the chemical composition of the coating material of each glitter. The examination results revealed that 8 glitters out of 12 glitters were not sharing the common origin each other. Also, two glitters found from two separate classroom chairs share common microscopic and FTIR spectroscopic characteristics which indicating two glitters share common origin. The record of the students who had used the classrooms was traced and the authors could find that the classrooms where the same glitters were found were shared by a group of students who listen to the same class. This result implies that the path of the involved people should be considered while assessing the value of trace evidence.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.379-387
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• 2016

The goal of this research is to identify the planning techniques of high-rise housing estates applying a smart green city concept in order to understand the necessity of integrating 'planning & building' planning techniques and 'smart system' planning techniques and to analyze the current status of application. For the research, firstl, the definition of smart green city was established and high-rise housing estates planning was categorized according to a three space hierarchy, seven planning directions and 17 major features through literature review. Second, 28 'planning & building' planning techniques and 'smart system' planning techniques were derived through literature review and FGI analysis. Last, four cases in Multi-functional Administrative City were analyzed for the current status of application of planning techniques. In conclusion, planning techniques in 'Transportation Network', 'Environment-friendly layout planning of housing', 'Revitalization of green transportation', 'Utilization of new & renewable energy', 'Crime prevention and accident reduction', 'Use of high performance, and efficiency facility' main feature were identified as important planning techniques for Smart Green City and its implications were estimated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2427-2432
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• 2014

Color-$X^2$ is used as a method for scene change detection. It extracts a violent scene in an elevator and then could be used for real-time surveillance of criminal acts. The scene could be also used to secure after-discovered evidences and to prove analysis processes. Video Forensic is defined as a research on various methods to efficiently analyze evidences upon crime-related visual images in the field of digital forensic. The method to use differences of color-histogram detects the difference values of histogram for RGB color from two frames respectively. Our paper uses Color-$X^2$ histogram that is composed of merits of color histogram and ones of $X^2$ histogram, in order to efficiently extract violent scenes in elevator. Also, we use a threshold so as to find out key frame, by use of existing Color-$X^2$ histogram. To increase the probability that discerns whether a real violent scene or not, we take advantage of statistical judgments with 20 sample visual images.

• Korean Security Journal
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• no.16
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• pp.265-282
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• 2008

This research aims to provide a solution for the improvement of private security according to the change in criminal environment. The main cause of crime can be found in the anti-functional dimensions including value set disorder, social phenomenon variation, information-based, globalization and urbanization. In this environment, the private security sector has dramatically increased in a quantitative viewpoint, but it is insufficient in a qualitative viewpoint. This paper recognized this problem and demonstrates a solution for improvement through classifying elements of private security into relevant legislation, education institutions, security companies and security associations. The analysis result is a follows: First, motivation and satisfaction rate of escort and security related major has shown to be high. However, respondents evaluated the guard educational institution negatively. Second, the motivation of entering into the private security sector for internal staffs has shown to be positive and sound. However, the job satisfaction rate has shown to be low due to excessive competition, negative perception of occupation and low earning. Third, respondents gave an average mark to the Security Association's management and operation. In addition, the mutual-aid project received the same mark. Negative feedbacks were given to the protection of member's interest and to association operation and policy, while positive feedbacks were given to the degree of member's cooperation towards association policies.

• Journal of Korea Port Economic Association
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• v.25 no.2
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• pp.57-72
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• 2009

The purpose of this paper is to show the empirical measurement way of operation risk evaluation in domestic seaports for overcoming the limitations which the traditional DEA method has by using 13 Korean ports in 2003 for 4 inputs(birthing capacity, cargo handling capacity, number of coastal guard vessel, number o f coastal special guard vessel ) and 5 outputs(Export and Import Quantity, Number of Ship Calls, number of coastal accident, number of coastal crime, number of coastal pollution). Because traditional DEA method has produced the limited set of information, negative DEA mixed with tier, stratification and layering methods should be adopted. The goal of negative DEA is to set up DEA models that will place the poor operating ports on or close to the empirical frontier. The core empirical results of this paper are as follows. First, Donghae ports should benchmark the operation way of Yeasu, Busan, Woolsan ports in terms of the middle and longterm base. Second, 5 ports(ports of Taean, Yeasu, Tongyoung, Busan, Sokcho) which were revealed as the poor operating ports in Negative DEA analysis should benchmark Incheon, Woolsan, Pohan, and Donhae ports. The policy implication to the Korean seaports and planners is that Korean seaports should introduce the new methods like Negative DEA of this paper for predicting the poor operating in the ports.

• Health Policy and Management
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• v.29 no.2
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• pp.105-111
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• 2019

On December 31, 2018, an incident occurred where a doctor was attacked and killed by a patient carrying a lethal weapon in the outpatients' clinic of the psychiatric department of a tertiary general hospital. The suspect was diagnosed with bipolar affective disorder (manic depressive disorder) and has been hospitalized and cared for in the psychiatric ward of this hospital. This incident illustrates the necessity of more active cures and therapeutic intervention for mental patients with intellectual developmental disorders who require treatment considering the fact that a radical outcome has been caused by such a patient. However, on the other hand, there is also a need for an approach and analysis from the perspective of crime prevention for all medical departments. The reason for this is that even a tertiary general hospital equipped with the largest human resources, medical devices, facilities, and so forth, is susceptible to violence. As for illegal actions perpetrated against health and medical service personnel in medical institutions, such as verbal abuse, assault, injury, etc. there have neither been understanding shown for the current extent of damage in detail, nor discussions of active institutional improvement related to the seriousness of the act. It can be said that violence in the field of medical treatment is a realm requiring serious discussion and appropriate remedial actions. This is because when such incidents take place, if a patient who is supposed to get treatment from the damaged health care provider is in an urgent situation or on the waiting list of serious cases, he or she could suffer serious damage caused by deprivation of treatment opportunity, or secondary damage might be caused to the patient and/or a guardian who can hardly have an opportunity to take action. Accordingly, in this review, we would like to help create the necessary conditions for both health and medical service personnel and patients/guardians, respectively, to provide and receive medical treatment in a more secure environment. Therefore, objective assessment of the institution and issues relating to this aforementioned incident and general cases of violence occurring in medical institutions, and by suggesting legal and institutional improvements and solutions.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.629-636
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• 2019

In order to infer whether the Special Act on the Punishment of Child Abuse Crimes, etc. actually brought about a change in the social perception shared about child abuse in our society, we used big data to examine the change in the perception of child abuse by the public. This study selected 'child abuse' as the keyword and collected and analyzed. The results of this study are as follows. First, before the implementation of the Special Act in 2013, the words "china" are kindergarten, teacher, body, problem, reporting obligation and neglect compared to the following. After the implementation of the special law, daycare centers, incidents, eradication, campaigns, domestic violence and preventive education were newly introduced. Second, the interconnection of key words in the previous picture of 2013 shows that the left group focuses on measures to introduce to prevent child abuse while the right group consists of keyword intended to view child abuse in conjunction with domestic violence. They are still seen as a group of divorces, discipline, neglect and parental education, which they still perceive as a family problem. Since the implementation of the Special Act in 2013, it will be divided into four groups, and the top group will be highlighted by the keyword related to child abuse cases, part of suspected cases and awareness of child abuse. In addition, the Act on the Special Cases of Child Abuse and the Child Protection Agency clearly appear as a child protection system.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.11-18
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• 2022

Recently, research to classify human activity using imagery has been actively conducted for the purpose of crime prevention and facility safety in public places and facilities. In order to improve the performance of human activity classification, most studies have applied deep learning based-transfer learning. However, despite the increase in the number of backbone network models that are the basis of deep learning as well as the diversification of architectures, research on finding a backbone network model suitable for the purpose of operation is insufficient due to the atmosphere of using a certain model. Thus, this study applies the transfer learning into recently developed deep learning backborn network models to build an intelligent system that classifies human activity using imagery. For this, 12 types of active and high-contact human activities based on sports, not basic human behaviors, were determined and 7,200 images were collected. After 20 epochs of transfer learning were equally applied to five backbone network models, we quantitatively analyzed them to find the best backbone network model for human activity classification in terms of learning process and resultant performance. As a result, XceptionNet model demonstrated 0.99 and 0.91 in training and validation accuracy, 0.96 and 0.91 in Top 2 accuracy and average precision, 1,566 sec in train process time and 260.4MB in model memory size. It was confirmed that the performance of XceptionNet was higher than that of other models.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.127-134
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• 2022

Steganography is a hidden technique in which secret messages are hidden in various multimedia files, and it is widely exploited for cyber crime and attacks because it is very difficult for third parties other than senders and receivers to identify the presence of hidden information in communication messages. Botnet typically consists of botmasters, bots, and C&C (Command & Control) servers, and is a botmasters-controlled network with various structures such as centralized, distributed (P2P), and hybrid. Recently, in order to enhance the concealment of botnets, research on Stego Botnet, which uses SNS platforms instead of C&C servers and performs C&C communication by applying steganography techniques, has been actively conducted, but image or video media-oriented stego botnet techniques have been studied. On the other hand, audio files such as various sound sources and recording files are also actively shared on SNS, so research on stego botnet based on audio steganography is needed. Therefore, in this study, we present the results of comparative analysis on hidden capacity by file type and tool through experiments, using a stego botnet that performs C&C hidden communication using audio files as a cover medium in Telegram Messenger.

• Korean Journal of Forensic Psychology
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• v.13 no.2
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• pp.147-167
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• 2022

This study was conducted to find out the difference in judgment of murder cases by participants' generation according to the type of murder. 196 adults in their 20s and older were randomly assigned to one of the scenarios of parricide, filicide, and murder, then responded to the judgment(ex. judgment of the perpetrator, degree of deviation from social norms, and judgment of victim responsibility). Finally, 128 responses were used in the analysis. As a result, it was found that the main effect of the murder type and the interaction effect of the generation and the murder type were not shown in all dependent variables. However, the difference between generations was statistically significant in the judgment of the perpetrator (e.g., perpetrator blame, perpetrator responsibility, intentional crime, etc.), indicating that millennials made unfavorable judgments to the perpetrator. Especially, in the case of parricide, it was found that millennials made unfavorable judgments to perpetrators than older generations. Also, it was found that the participants of the older generation tended to make unfavorable judgments toward the perpetrator of murder rather than the perpetrator of parricide. Finally, based on these results, this study proposed the need to reconsider the 'victim of survivors' factor, which is considered as a weighing of an offense for special sentencing factors.