• The Korean Journal of Air & Space Law and Policy
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• v.22 no.2
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• pp.155-175
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• 2007

As intellectual terror threats increase, we feel the limit in coping with those threats and the things we do are placing traditional X-ray machines & ETD and increasing aviation security staffs. In fact, even if air transportation system is the fast and most efficient transportation methods, it is true that there are many inconveniences to endure due to terror threats. In the name of security, even if we make a lot of efforts and time to screen both good-natured passengers, baggage, cargo and suspicious passengers, it is impossible to screen perfectly and it is not an efficient methods. Therefore, we introduce profiling system that reduce the effort to screen good-natured passengers but focus on screening dangerous passengers and baggages. Profiling system strengthens aviation security, using the concept "Selection & Concentration". Israel started to introduce manual profiling system in aviation security, which is interviewing suspicious passengers and it has been used in crime investigation since 1960. And it has been upgraded and diversified to CAPPS(Computer Assisted Passenger Screening Program) and SPOT(Screening Passenger by Observation). So, this theses is to study on the concept & kind of profiling and profiling methods adopted in airlines. Also it presents the method of introduction of profiling system in Korea and the necessity of making law on it.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.143-151
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• 2010

According to increasing requirements in embedded systems. embedded software has been more complicated then before. a optimum software is difficult in embedded system. software developer make a difficult optimum software. this paper suggests a software profiling tool with which a software developer can easily profiling the embedded system software in cross-development environments. the suggested tool is designed based on host/target architecture. this tool insert program source for make profiling log to target program. a target program executed in target system. a target system communicate profiling log to host system. this tool in host system analyze profiling log data. and make a XML of profiling log and a profiling report. a profiling report is graphic viewer based GUI. a target system in this tool needs a few computing power. and XSLT can conversion of profile log XML to other format data. and suggested tool based on eclipse plug-in, therefore developer can use operates in eclipse.

• 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%.

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

• 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.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.3
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• pp.31-39
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• 2019

Virtualization technology is one of the technologies that have been attracting attention as cloud computing spreads recently. When a system is constructed using virtualization technology, mutiple operation systems can be operated in a single host operating system, thereby facilitating efficient management of computing resources. As more and more operating systems are running on the hypervisor, it is important to measure the overall performance of the virtualization system and this is becoming an important technology. In this paper, we analyze the main functions of the existing profiling tools to measure the performance of the virtualization system, and measure and classify the profiling coverage that the monitoring tools can perform for events that may occur in the virtualization system. In addition, we have studied a framework that enables performance measurement by loading appropriate profiling tools into the guest system when performance measurement is required for the virtualization system according to the information received from the remote system performing the monitoring.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.185-191
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• 2015

We are fusing to the profiling techniques in education and making to a smart teaching plan production systems. Therefore, we investigated based on technical elements necessary for the proper look for profiling techniques, trends in the technology and product trends. We proposed that is smart teaching plan production system such as the smart teaching plan production and editing technique, the management technique for the smart teaching plan, and works for relation skill to smart teaching plan production systems. If you using the techniques that we were proposed to build effective smart teaching plan production system, management system for contents control, virtual classroom then they can management their's class and class teaching plan production, file management to teaching group easy. and those students can easy understand in their class too easy.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.7
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• pp.277-282
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• 2015

HL7 released V3 CDA(Clinical Document Architecture) and V2.x message standards for medical information exchange. Currently, these standards are successfully adopted by a number of nations across the globe. However, substantial amount of time is required to develop and implement these standards. Moreover, developers need a lot of time to understand these standards. To solve these issues from 2011, the HL7 standard framework started to discuss Fast Healthcare Interoperability Resources(FHIR) as next generation standard of healthcare information exchange. People's interests toward personal health record and smartphone penetration rate are growing and increasing rapidly. Therefore, our research team believes it is necessary to develop a PHR profiling system which could be accessed by using a smartphone and we developed the system. Through a FHIR Profile editor tool developed in Furore, we found that improvements could be made in generating and changing the profile. In order to build the PHR Profiling system, an Open-API on FHIR is used for exchanging information between electronic medical record system and PHR Profiling system. In the PHR Profiling system, the transactions of information between two systems are provided by RESTful service. In this study, we verify the efficiency of development of the PHR Profiling system through FHIR.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.3
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• pp.544-551
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• 2003

Internet as being generalized, intrusion detection system is needed to protect computer system from intrusions synthetically. We propose a criterion on profiling for intrusion detection system using anomaly detection. We present the cause of false positive on profiling and propose anomaly method to control this. Finally, we propose similarity function to decide whether anomaly action or not for user pattern using pattern database.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.3
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• pp.192-197
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• 2003

The ‘AEIPR’(Accelerometer Established Inertial Profiling Reference) method has been applied to measure the road profile. The dynamic road profiling method using AEIPR has the advantages of cost effectiveness, measuring speed and relatively high reliability. However, it is required to improve the double integration algorithm to get the measurement results with the accuracy of hither level. In the first part of this paper, the effective double integration algorithm is suggested and the ‘Road Profiler’ software is developed on the basis of the algorithm. Road profiling tests are performed using the developed ‘Road Profiler’ system on the specially designed tracks for the durability tests and the various types of pubic roads. Test results are shown and evaluated by the international road evaluation indicies and classification.