• Journal of Digital Convergence
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• v.19 no.2
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• pp.231-238
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• 2021

SNS data can catch the user's thoughts and actions. And the trend of the search portal is a representative service that can observe the interests of users and their changes. In this paper, the relationship was analyzed by comparing statistics on narcotics incidents and the degree of exposure to narcotics related words in tweets of SNS and in the trends of search portal. It was confirmed that the trend of SNS and search portal trends was the same in the statistics of the prosecution office with a certain time difference.In addition, cluster analysis was performed to understand the meaning of tweets in which narcotics related words were mentioned. In the 50,000 tweets collected in January 2020, it was possible to find meaning related to the sale of actual drugs. Therefore, through SNS monitoring alone it is possible to monitor narcotics-related incidents and to find specific sales or purchase-related information, and this can be used in the investigation process. In the future, it is expected that crime monitoring and prediction systems can be proposed as related crime analysis may be possible not only with text but also images.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.5
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• pp.487-496
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• 2020

This study introduces how GISs (Geographic Information Systems) are used to assess spatial disparities in urban green spaces in the Chicago. Green spaces provide us with a variety of benefits, namely environmental, economic, and physical benefits. This study seeks to explore socioeconomic relationships between green spaces and their surrounding communities and to evaluate spatial disparities from a variety of perspectives, such as health-related, socioeconomic, and physical environment factors. To achieve this goal, this study used spatial statistics, such as optimized hotspot analysis, network analysis, and space-time cluster analysis, which enable conclusions to be drawn from the geographic data. In particular, 12 variables within the three factors are used to assess spatial disparities in the benefits of the use of green spaces. Finally, the variables are standardized to rank the community areas and identify where the most vulnerable community areas or parks are. To evaluate the benefits given to the community areas, this study used the z- and composite scores, which are compared in the three different combinations. After identifying the most vulnerable community area, crime data is used to spatially understand when and where crimes occur near the parks selected. This work contributes to the work of urban planners who need to spatially evaluate community areas in considering the benefits of the uses of green spaces.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.721-731
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• 2017

In this study, principal component analysis methods using Lasso penalty are introduced. There are two popular methods that apply Lasso penalty to principal component analysis. The first method is to find an optimal vector of linear combination as the regression coefficient vector of regressing for each principal component on the original data matrix with Lasso penalty (elastic net penalty in general). The second method is to find an optimal vector of linear combination by minimizing the residual matrix obtained from approximating the original matrix by the singular value decomposition with Lasso penalty. In this study, we have reviewed two methods of principal components using Lasso penalty in detail, and shown that these methods have an advantage especially in applying to data sets that have more variables than cases. Also, these methods are compared in an application to a real data set using R program. More specifically, these methods are applied to the crime data in Ahamad (1967), which has more variables than cases.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.413-421
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• 2010

In this study, we considered bivariate conditional auto-regressive model taking into account spatial association as well as correlation between the two dependent variables, which are the counts of murder and burglary. We conducted likelihood ratio test for checking over-dispersion issues prior to applying spatial poisson models. For the real application, we used the annual counts of violent crimes at 25 districts of Seoul in 2007. The statistical results are visually illustrated by geographical information system.

• Journal of the Korean housing association
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• v.17 no.4
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• pp.1-13
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• 2006

The purpose of the study was to identify the level of housing choice behavior by using the factors of residential satisfaction level, mobility motivation, and housing needs of potential purchasers in Bukgu New Housing Area, Ulsan. The survey used questionnaire from 326 households living in Bukgu and nearby area and analyzed using descriptive statistics. The research results showed low degree of residential satisfaction in storage space and neighborhood. The mobility motivations were improvement of physical environment improvement, education environment, walking road, view and lighting. The housing needs for indoor spaces showed to want more functional arrangement than the room size. The housing needs for outdoor spaces showed to want neighborhood environment in connection with the education or hospital facilities, the welfare facilities for pre-kindergarten children and elders and the leisure facilities. And the housing needs for facilities were floor furnishing for health, crime prevention system for safety needs, housekeeping appliance against environmental pollution, additional function for energy saving. The housing needs for common spaces showed that the residents preferred playing facilities by age group, exercise facilities, the community hall and the rest room which can do games or meetings.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.163-171
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• 2019

Purpose: Purpose: The National Safety Experience Center Establishment and Reinforcement Project Management Guidelines, established to build a national safety experience center that is central to practicing education on disasters and safety accidents, requires that appropriate experience training programs be in place. However, due to the lack of classification grounds for the six areas of disaster•safety accidents presented by the Ministry of Public Administration and Security, and the mortality statistics necessary for establishing sectors have accumulated for over a decade, they are based on this. Our purpose is to standardize classification of sectors belonging to each area. Methods: We will divide disaster•safety accidents into 6 areas by three steps, and the grounds for 6 areas of accidents are presented. The 15 external causes other than the disease since 2009 has been proposed by The National Statistical Office. Therefore on the basis of these causes, various sectors belonging to each area are classified. Results: We will divide all disaster•safety accidents into six areas through three logical separation stages, and the areas were systematically classified based on the 15 factors of death. In conclusion, we present the grounds for the classification criteria in the six areas, the transportation accident disaster area in three areas, the social infrastructure system area in four areas, the crime accident disaster area in four areas, the life safety accident area in four areas, we set up all disaster•safety accidents in six areas and finally standardize total 25 areas.

• Journal of forensic and investigative science
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• v.1 no.1
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• pp.11-30
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• 2006

The preliminary investigative activities by the police officer play a critical role in identifying the cause of death in unnatural death investigations. The failure to secure the crime scene leads to the destruction of significant evidence, which results in the difficulty or impossibility to identify the cause of death. In order to prevent this jeopardizing crucial evidence, and to identify the level of preliminary investigation on the scene, this research is conducted and analyzed with questionnaires of 300 police first responders and 100 detectives. As a result, it was disclosed that there is a possibility for first responders to fail to ensure scene security, scene observation, and canvass interviews. Besides, when medical personnel have no choice but to contaminate the crime scene in order to save lives, it is necessary for them to take photos and to take proper actions before they enter the scene. The importance of scene-control education cannot be emphasized enough in order to prevent media from entering and destroying the evidence. Through research of actual conditions of unnatural death cases which occurred in Kyongbook Province for last five years, the statistics regarding a few different types of death were analyzed as follows. Evidence that homicide, suicide, accidental death, and disaster deaths have increased year by year. Therefore, it is deemed necessary for the government to take multilateral policies to reduce them, and for police to reinforce their investigative skills. Further, the insufficient number of autopsy facilities and forensic pathologists, only 13% of the deceased (1,237 cases) have had an autopsy conducted to identify the cause of death for last five years. The other, 87.3% (8,496 cases) of the deceased, were handled through simple postmortem examination. The significance of this percentage is that there is still the possibility not revealing the cause of unjust deaths. Therefore, it is necessary to furnish police agency with the reasonable amount of funding for autopsies and maintaining enough forensic pathologists.

• Korean Security Journal
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• no.13
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• pp.383-402
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• 2007

World security market has continuously been growing since the 2000s. The growth rate seems to reach up to 7-8% annually. What is more, Korea is expected to be one of the most rapidly developing markets, Based of this view, this research investigates the principal drivers to have affected on the expansion of Korean security market over the past 20 years. In addition to that, this study also examines the influence of recent changes in the world economy and globalization, socio-demographic change, development of information technology on the future security market. The data reviewed in this study are official crime rates, socio-economic indicators, statistics from the National Police Agency and the business reports of a leading private security company. This study shows that several factors such as rising crime rates, lack of police capacities, national economic growth and rising household income have played important roles in development of Korean market. It is also expected to keep those positive affects on the future market. On the other side, in recent years, the security market seems to be increasingly affected by new social economic changes. Those are impact of last aging society, rapid increase of individual household and women's participation in labor market. These factors seem to increase personal and household needs for security service. World economy, globalization process and development of information technology are also deemed to give rise to social demands for surveillance, monitoring service and security in cyber space.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.189-198
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• 2023

As crimes frequently occur on the street, the spread of CCTV is increasing. However, due to the shortcomings of passively operated CCTV, the need for intelligent CCTV is attracting attention. Due to the heavy system of such intelligent CCTV, high-performance devices are required, which has a problem in that it is expensive to replace the general CCTV. To solve this problem, an intelligent CCTV system that recognizes low-quality images and operates even on devices with low performance is required. Therefore, this paper proposes a Saying CCTV system that can detect threats in real time by using the AWS cloud platform to lighten the system and convert images into text. Based on the data extracted using YOLO v4 and OpenPose, it is implemented to determine the risk object, threat behavior, and threat situation, and calculate the risk using machine learning. Through this, the system can be operated anytime and anywhere as long as the network is connected, and the system can be used even with devices with minimal performance for video shooting and image upload. Furthermore, it is possible to quickly prevent crime by automating meaningful statistics on crime by analyzing the video and using the data stored as text.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.209-224
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• 2024

Speaker verification is becoming popular as a method of non-face-to-face identity authentication. It involves determining whether two voice data belong to the same speaker. In cases where the criminal's voice remains at the crime scene, it is vital to establish a speaker verification system that can accurately compare the two voice evidence. In this study, to achieve this, a new speaker verification system was built using a deep learning model for Korean language. High-dimensional voice data with a high variability like background noise made it necessary to use deep learning-based methods for speaker matching. To construct the matching algorithm, the ECAPA-TDNN model, known as the most famous deep learning system for speaker verification, was selected. A large dataset of the voice data, Voxceleb, collected from people of various nationalities without Korean. To study the appropriate form of datasets necessary for learning the Korean language, experiments were carried out to find out how Korean voice data affects the matching performance. The results showed that when comparing models learned only with Voxceleb and models learned with datasets combining Voxceleb and Korean datasets to maximize language and speaker diversity, the performance of learning data, including Korean, is improved for all test sets.