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

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

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

• Journal of Korean Society of Archives and Records Management
• /
• v.12 no.2
• /
• pp.29-50
• /
• 2012

This study aims to analyze electronic records research domains and trends and to suggest future direction of electronic records research in Korea. One hundred and sixty one articles published in seven domestic journals from 1999 to 2011 were statistically analysed to find out the productivity of electronic records research. Analysis of intellectual structure using descriptor profiling and author profiling as a technique of text mining were performed with those same papers. Some proposals on the future research direction in this field were made.

• Journal of the Korea Computer Graphics Society
• /
• v.24 no.3
• /
• pp.83-92
• /
• 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
• /
• v.28 no.2
• /
• pp.11-36
• /
• 2011

Since the 1990s, informetrics has grown in popularity among information scientists. Today it is a general discipline that comprises all kinds of metrics, including bibliometrics and scientometrics. To illustrate the dynamic progress of this field, this study aims to identify the structure and infrastructure of the informetrics literature using statistical and profiling methods. Informetrics literature was obtained from the Web of Knowledge for the years 2001-2010. The selected articles contain least one of these keywords: informetrics', bibliometrics', scientometrics', webometrics', and citation analysis.' Noteworthy publication patterns of major countries were identified by a statistical method. Intellectual structure analysis shows major research areas, authors, and journals.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.1
• /
• pp.145-154
• /
• 2014

In this paper, we propose a novel anti-malware system based on behavior profiling, called Andro-profiler. Andro-profiler consists of mobile devices and a remote server, and is implemented in Droidbox. Our aim is to detect and classify malware using an automatic classifier based on behavior profiling. First, we propose the representative behavior profiling for each malware family represented by system calls coupled with Droidbox system logs. This is done by executing the malicious application on an emulator and extracting integrated system logs. By comparing the behavior profiling of malicious applications with representative behavior profiling for each malware family, we can detect and classify them into malware families. Andro-profiler shows over 99% of classification accuracy in classifying malware families.

• Korean Security Journal
• /
• no.38
• /
• pp.33-56
• /
• 2014

This study is aim to make use of prevention of air terrorism and strengthen of air security in Korea. To achieve it. searching main feature in U.S aviation profiling. Aviation profiling in U.S used to Secure Flight, Screening Passengers by Observation Technique, Registered Travel Program. Through U.S Aviation Profiling, Prevention of air terrorism in Korea are as in the following. First, Through U.S Aviation Profiling, Information of terrorism constructed in advance and unification of constructed information. Second, Identifiying that institution exclusively for prevention of air terrorism. Third, Identifiying that human rights and privacy invasion to a minimun plan anout U.S aviation profiling. Finally, Identifiying that the spread of research development for prevention of air terrorism and strengthen of air security in Korea.

• Journal of Korean Institute of Fire Investigation
• /
• v.11 no.1
• /
• pp.23-30
• /
• 2008

Recently, police agency and social scientists' interest in the criminal profiling is increasing. Since serial killings had sharply increased during 1960s in U.S. the American law enforcement agency were pushed to solve those criminal incidents. Therefore, they drew various investigative techniques. But there are no study for the criminal profiling of arsonists. So, this paper reviewed prior studies on the arsonist's type and suggested how to apply this kind of basic information for investigating arson cases in Korea.

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