• Korean Journal of Forensic Psychology
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• v.13 no.1
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• pp.75-97
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• 2022

Profiling is recognized as a representative application area of domestic criminal psychology, and the National Police Agency profiler is firmly established as a profession. However, compared to the social awareness, the recognition and utilization within the police is not high. In this study, we tried to identify factors affecting the intention to use profiling by identifying the perception of investigators who request and use profiling from a profiler when a violent incident occurs. To this end, the relationship between the perception of the importance of factors considered by investigators in the criminal investigation process and the attitude toward profiling on the intention to use profiling was verified through the path model. As a result of a survey of 340 police investigators, the investigator's perception of the importance of investigation elements was divided into two factors: the importance of normative investigative elements (evidence collection and legal judgment, etc.) and factual investigative elements (criminal analysis, criminal information system analysis, etc.). Among them, the importance of factual investigative elements were found to have a positive effect on the intention to use it by mediating the attitude toward profiling. On the other hand, in the case of the importance of normative investigative elements, it was found to have a negative effect on the attitude toward profiling. These results suggest that the perception that investigators have about investigation, which is their main work area, plays a role in determining whether to request profiling as well as attitude towards profiling. Based on the research results, strategies necessary to activate the use of profiling were discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1490-1492
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• 2012

프로파일링 도구는 프로그램 최적화뿐만 아니라 스케줄링이나 호출 그래프 작성, 프로그램의 부하 분석 등과 같은 많은 분야에서 이용되고 있다. 이 논문에서는 한국에서 많이 사용되는 운영체제인 윈도우즈 상에서 동작하며 실행 코드만으로 분석이 가능한 프로파일링 도구에 대해 알아본다. 특히 윈도우즈 상에서 동작하는 유명한 프로파일링 도구인 Very Sleepy, 리소스 모니터, PIX, CodeAnalyst, PCM의 특징에 대해 알아본다. 그리고 프로파일링 도구의 특징을 이용해 특정 상황에 적합한 프로파일링 도구를 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.562-565
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• 2006

가상기계(Virtual Machine)는 소프트웨어로 제작되어 논리적인 시스템 구성을 갖는 컴퓨터이기 때문에 그 수행 속도와 필요 저장 공간 측면에서 성능이 떨어질 수 밖에 없다. 따라서 가상기계의 성능에 있어서 보다 효율적인 코드로의 최적화가 중요하다. 본 논문에서는 가상기계 코드(Virtual Machine Code) 최적화를 위해 코드를 실행하여 얻을 수 있는 동적 정보인 프로파일링 데이터(Profiling Data)를 정의하고, 프로파일링 시스템을 설계하여 프로파일링 데이터를 가상기계 코드 최적화에 적용 할 수 있는 기반을 마련하였다. 나아가 EVM(Embedded Virtual Machine)에서 실행되는 SIL(Standard Intermediate Language) 코드를 대상으로 프로파일링 시스템을 구현하여 실제 가상 기계 코드에 대하여 프로파일링 데이터를 추출하였다.

• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.83-92
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• 2018

In this paper, we propose a system to a criminal profiling simulation training and assessment with virtual reality technology. Profiling has emerged as the incidence of violent crime has increased by 45.2 % in the country over the past decade. However, the number of profilers in Korea is 36, due to the problem of existing courses. "Criminal Reproduction Learning" is the common way to profiling training, but there are numerous constraints that prevent practical training. Thus, the system used virtual reality technology to overcome existing constraints. Users can receive simulation training and assessment of profiling at crime scene that have been implemented as virtual reality, with an immersive experience through interaction. We expect this system to contribute to the activation of profiling education in many institutions and to the development of good profilers with diverse training.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.201-225
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• 2016

A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.413-423
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• 2012

Offender profiling, as a crime investigation technique, aims to respond more effectively to violent crimes. However, attitude that police investigators hold toward offender profiling is quite skeptical, which prevents offender profiling from making effective and practical contributions to police investigations. Therefore, the present study explored development strategies of offender profiling by examining perceptions of offender profiling among 156 Korean National Police University students. Furthermore, a total of 166 students from other universities also participated as a control group. As a result, participants showed positive attitude toward offender profiling, in terms of its necessity, effectiveness, and reliability. However, they believed that Korean police agencies are not making the good use of offender profiling and that profilers are not necessarily taking the lead in solving cases. In terms of the profiler education, the majority of the students who showed interest in becoming a profiler did not know what to learn and how to prepare for becoming one. Finally, limitations of the present study were discussed and suggestions for further research were made.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.221-230
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• 2020

Supercomputer that shares limited resources to multiple users needs a way to optimize the execution of application. For this, it is useful for system administrators to get prior information and hint about the applications to be executed. In most high-performance computing system operations, system administrators strive to increase system productivity by receiving information about execution duration and resource requirements from users when executing tasks. They are also using profiling techniques that generates the necessary information using statistics such as system usage to increase system utilization. In a previous study, we have proposed a scheduling optimization technique by developing a hardware performance counter-based profiling technique that enables characterization of applications without further understanding of the source code. In this paper, we constructed a profiling testbed cluster to support optimal execution of the supercomputer and experimented with the scalability of the profiling method to analyze application characteristics in the built cluster environment. Also, we experimented that the profiling method can be utilized in actual scheduling optimization with scalability even if the application class is reduced or the number of nodes for profiling is minimized. Even though the number of nodes used for profiling was reduced to 1/4, the execution time of the application increased by 1.08% compared to profiling using all nodes, and the scheduling optimization performance improved by up to 37% compared to sequential execution. In addition, profiling by reducing the size of the problem resulted in a quarter of the cost of collecting profiling data and a performance improvement of up to 35%.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.686-694
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• 2014

Criminal profiling, also known as offender profiling is designed to predict the characteristics of unknown criminal perpetrator through an analysis of the crime scene. Until now, there has been conflict about the effectiveness of criminal profiling among academics. In this study, 113 police investigators', working in serious crime divisions, were interviewed about their experiences with criminal profiling, and their belief about its effectiveness. 63.7% of the respondents agreed that criminal profiling is a valuable investigative tool and 62.8% agreed that profilers are valuable to criminal investigations. A total of 31.8% agreed that profilers help the police identify offenders and 15.0% agreed that there is no risk of profiler misdirecting and investigation. 61.5% of the respondents who had reported using a profile agreed that profiling is helpful and 71.4% told that they would use profiling again in the future.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.115-140
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• 2021

This study divided the keyword sets searched from LISTA database focusing on the overseas open access fields into two types (controlled keywords and uncontrolled keywords), and examined the results of performing an intellectual structure analysis based on profiling for the each keyword type. In addition, these results were compared with those of an intellectual structural analysis based on co-word analysis. Through this, I tried to investigate whether similar results were derived from profiling, another method of intellectual structure analysis, and to examine the differences between co-word analysis and profiling results. As a result, there was a similar difference to the co-word analysis in the results of intellectual structure analysis based on profiling for each of the two keyword types. Also, there were also noticeable differences between the results of intellectual structural analysis based on profiling and co-word analysis. Therefore, intellectual structure analysis using keywords should consider the characteristics of each keyword type according to the research purpose, and better results can be expected to be used based on profiling than co-word analysis to more clearly understand research trends in a specific field.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.246-249
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• 2011

페이징을 이용한 가상 메모리 환경에서는 프로세스가 사용하는 가상 페이지가 임의의 물리 페이지로 매핑이 되므로 캐시 인덱스 충돌로 인한 캐시 미스율이 증가한다. 이를 하드웨어의 지원 없이 해결하기 위해 페이지 컬러링 기술은 처음 연구되기 시작하였고, 지금까지도 꾸준히 연구되고 있다. 이러한 페이지 컬러링 기술은 컬러링 정책을 먼저 정해놓고 컬러링을 하는 정적 페이지 컬러링, 그리고 동적프로파일링을 통해 프로세스의 데이터 영역 접근 패턴을 파악하고 이를 통해 실시간 컬러링을 하는 동적 페이지 컬러링으로 나눌 수 있다. 하지만 두 가지 방법 모두 다음과 같은 단점이 존재한다. 먼저 정적 페이지 컬러링은 프로세스의 동작을 프로파일링 할 수 없기 때문에 컬러링으로 인한 효율을 극대화시킬 수 없고, 동적 페이지 컬러링은 동적 프로파일링을 하고 이를 통해 재컬러링(recoloring) 하는 오버헤드가 존재한다. 이러한 문제를 해결하기 위해서, 본 논문에서는 실행 코드 영역 프로파일링을 통한 MFU(Most Frequently Used) 기반 페이지 컬러링 기법을 제안한다. 이 기법은 동적으로 프로세스 코드 영역을 프로파일링 하여 실행 점유율이 높은 영역을 알아낸 뒤, 이를 기반으로 정적 페이지 컬러링을 하는 방식이다. 따라서 본 논문에서 제안한 기법은 기존의 기법들이 가진 단점을 해결하고, 캐시 성능을 향상시킬 것으로 기대된다.