• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.11
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• pp.35-45
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• 1999

This paper presents an interconnection network for load balancing on a multimedia server and proposes a simple probabilistic model of the interconnection network for analysing the traffic characteristics. Because the switch uses deflection algorithm for routing, the traffic load on the switch seriously affects deflection probability. In this paper, we trace the deflection probability as a function of the traffic load according to the model. By comparing the result with the empirical result, we prove that the model is useful for estimating the deflection probability and traffic saturation point against the amount of packets getting into the switch.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.4
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• pp.474-479
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• 2014

LEON3 is a 32-bit synthesizable processor based on the SPARC V8. It can be connected to AMBA 2.0 bus and has a 7- stage pipeline, IEEE-754 FPU and 256[KB] cache. It can be easily implemented using FPGA and used for a SoC design. DSU which comes with LEON3 can be used to control and monitor the operation of LEON3. And DSU makes it easy to set a debugging environment for the development of both hardware and software for an embedded systems based on LEON3. This paper presents the summary of the debugging tool for LEON3 based embedded systems. The debugging tool can initialize the target hardware, find out how the target hardware is configured, load application code to a specified memory space and run that application code. To provide users a debugging environment, it can set breakpoints and control the operation of LEON3 correspondingly. And function call trace is one of key functions of the debugging tool.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.51-59
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• 2011

In domestic, the binary code analysis technology is insufficient. In general, an executable file that is installed on your computer without the source code into an executable binary files is given only the most dangerous, or because it is unknown if the action is to occur. In this paper, static program analysis at the binary level to perform the design and implementation framework. In this paper, we create a control flow graph. We use the graph of the function call and determine whether dangerous. Through Framework, analysis of binary files is easy.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.21-30
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• 2003

Retracing schemes using packet marking are currently being studied to protect network resources by isolating DDoS attack. One promising solution is the probabilistic packet marking (PPM). However, PPM can't use ICMP by encoding a mark into the IP identification field. Likewise, it can't identify the original source through a hash function used to encode trace information and reduce the mark size. In addition, the retracing problem overlaps with the result from the XOR operation. An algorithm is therefore proposed to pursue the attacker's source efficiently. The source is marked in a packet using a router ID, with marking information abstracted.

• International Journal of Control, Automation, and Systems
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• v.4 no.3
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• pp.372-381
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• 2006

The purpose of this study was to develop a process management system to manage ingot fabrication and improve ingot quality. The ingot is the first manufactured material of wafers. Trace parameters were collected on-line but measurement parameters were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Therefore, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were used for data generation. Then, modeling was performed, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to control parameters. Secondly, rule extraction was performed to find the relation between the production quality and control conditions. The extracted rules can give important information concerning how to handle the process correctly. The dynamic polynomial neural network (DPNN) and decision tree were applied for data modeling and rule extraction, respectively, from the ingot fabrication data.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.241-247
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• 2000

날로 복잡해지고 거대해지는 시스템의 추세를 감안할 때 앞으로 시스템 분야의 주요 구성요소간 상호작용을 분석하여 최적의 시스템 운영방안을 도출하기 위해서는 시뮬레이션 기법의 도입이 필수적이다. Simplus 3D는 분석대상 시스템을 주요 객체 단위로 Model 상에 재구성하여 이들의 움직임과 주체적 의사결정 논리를 자체 서술어를 사용하여 묘사하도록 고안된 범용 그래픽 시뮬레이션 소프트웨어로 사용자가 정의한 Logic을 Procedure 또는 Function화하여 별도의 File에 저장하고 재활용 가능하며, 객체별 Logic Trace가 가능하여 객체 시나리오의 상세분석 및 Logic 디버깅이 용이하다. 또한 대상시스템의 특성에 따라 Macro한 수준의 개략적인 묘사부터 Micro한 수준의 제어 알고리듬에 이르기까지 묘사의 수준이 자유롭고, 시뮬레이션에 주로 사용되는 물류설비 및 Logic을 Module로 제공하며 필요시 Custom Logic을 추가할 수 있다. 분포형태는 일양분포, 지수분포, 정규분포 등 다양한 분포형태를 지원하며 9999개까지의 Random Number Seed 지정이 가능하다. 일반 PC에서도 실행 가능하며 3차원 Animation과 다양한 형태의 Report를 제공함으로써 비전문가나 의사결정자가 각종 대안에 대한 시뮬레이션 결과를 시각적으로 확인하여 쉽게 이해할 수 있도록 하였다. Simplus 3D는 현재까지 생산시스템, 항만 및 교통 등의 분야에 광범위하게 활용되고 있으며, 본 논문에서는 기아자동차 WBS 물류시스템 시뮬레이션 모델과 고속도로 톨게이트 시뮬레이션 모델을 활용사례로 소개하고자 한다.

• Journal of the Korean Society of Safety
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• v.28 no.3
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• pp.11-17
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• 2013

Forensic Engineering is the area covering the investigation of products, structures that fail to perform or do not function as intended, causing personal injury or damage to property. To investigate the mobile crane's overturn accident in terms of the forensic engineering, in this study, we identified the accident mobile crane's position and posture before accident by the analysis of the trace resulted by the contact between the outrigger and the ground, and the accident remodeling has been performed using CATIA modeling program in the basis of the accident mobile crane's position and posture information. The accident analysis has been performed by comparing this accident remodeling and the crane's specification, the table of the allowance load about the boom's length and the working radius. Through these studies, the safety accident that may occur in mobile crane can be minimized by performing specialized and systematic investigation of the accident cause in terms of the forensic engineering.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.554-557
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• 2010

Pay Per Drive System can be a new solution for improving the traffic congestion and air pollution by not only taxing on the driving distance but also taxing different proportion with driver' s location and time. Thus it gives us new concept of the area and time of traffic jam, as a result, we can find a natural and efficient transportation mechanism and reduced air pollution. Also this system can trace the driver' s location by GPS, it can provide Black Box function on every car on the road. We propose the method of advanced transportation service by Pay Per Drive System.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.4
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• pp.53-62
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• 2010

In VANETs (Vehicular Ad hoc NETwork), conditional anonymity must be provided to protect privacy of vehicles while enabling authorities to identify misbehaving vehicles. To this end, previous systems provide a mechanism to revoke the anonymity of individual messages. In VANET, if we can trace the movement path of vehicles, it can be useful in determining the liability of vehicles in car accidents and crime investigations. Although route tracing can be provided using previous message revocation techniques, they violate privacy of other vehicles. In this paper, we provide a route tracing technique that protects privacy of vehicles that are not targeted. The proposed method can be employed independently of the authentication mechanism used and includes a mechanism to prevent authorities from abusing this new function.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.305-311
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• 2021

One of the highly reliable object tracking methods is to trace objects by associating objects detected by deep learning. The detected object is represented by a rectangular box. The box has information such as location and size. Since the tracker has motion information of the object in addition to the location and size, knowing additional information about the motion of the detected box can increase the reliability of object tracking. In this paper, we present a new method of reliably estimating the moving direction of the detected object in underground parking lot. First, the frame difference image is binarized for detecting motion energy, change due to the object motion. Then, a cumulative binary image is generated that shows how the motion energy changes over time. Next, the moving direction of the detected box is estimated from the accumulated image. We use a new cost function to accurately estimate the direction of movement of the detected box. The proposed method proves its performance through comparative experiments of the existing methods.