• Journal of the Korean Institute of Intelligent Systems
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• v.3 no.4
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• pp.24-31
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• 1993

원전 증기발생기의 수위제어기를 퍼지제어기로 구성하는 경우 증기발생기의 단독운전이 아닌 전체발전소의 가동중에 소속함수 조정이 이루어져야 하는 제약환경을 고려할 때 많은 반복실행횟수를 필요로 하는 임의적인 시행착오방법이나 일반화되어 있지 않은 복잡한 방법보다는 보다 간단명료하고 예측가능한 조정경로를 통해 소속함수를 조정할 필요가 있다. 여기에서는 그 방안으로서 프로세스 제어응답의 최대초과량 상승시간의 합으로 평가함수를 도입하고 descent method를 이용하여 제어응답의 결과로 얻는 평가함수의 최소점을 따라 소속함수를 조정해가는 방법을 제시하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.342-345
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• 2004

자바는 임베디드 시스템을 프로그램 하기에 매력적인 언어와 플랫폼으로 인식되어져 왔다. 그러나 잉베디드 자바의 메모리와 프로세서 한계점을 가지고 임베디드 자바에 표준 자바 클래스 파일을 적용하기에는 적당하지 않다. 본 논문에서는 타겟디바이스에서 바이트 코드를 수행하기 전에 심볼레퍼런스 정보를 실제 주소로 바꾸기 위해 프리레졸루션을 사용하여 실행시간을 줄일 수 있는 효율적인 메소드를 제안하였다. 클래스 파일에서 컨스턴트풀의 사이즈를 알기 위해서 13개의 클래스 파일들을 시험하였다. 본 프리레졸루션은 원래 사이즈의 92% 정도 전체적인 메모리 footprint를 줄였다. 또한, 메모리 참조 횟수도 감소시켰다.

• Journal of KIISE
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• v.43 no.12
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• pp.1325-1333
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• 2016

Software classification has several applications such as copyright infringement detection, malware classification, and software automatic categorization in software repositories. It can be also employed by software filtering systems to prevent the transmission of illegal software. If illegal software is identified by measuring software similarity in software filtering systems, the average number of comparisons can be reduced by shrinking the search space. In this study, we focused on the classification of Windows executables using API call information and machine learning. We evaluated the classification performance of machine learning-based classifier according to the refinement method for API information and machine learning algorithm. The results showed that the classification success rate of SVM (Support Vector Machine) with PolyKernel was higher than other algorithms. Since the API call information can be extracted from binary executables and machine learning-based classifier can identify tampered executables, API call information and machine learning-based software classifiers are suitable for software filtering systems.

• Journal of Korea Multimedia Society
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• v.10 no.9
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• pp.1197-1208
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• 2007

These days, most of SMART card, JAVA card, picked up the JAVA Card Platform gets the position as a standard. Java Card technology provides implantation, platform portability and high security function to SMART Card. Compared to normal Smart Card, JAVA card has a defect that is a low running speed caused by a distinctive feature of JAVA programming language. Factors that affect JAVA Card execution speed are the method how to save the data and install the applets of JAVA Card installation instrument. In this paper, I will offer the plan to improve JAVA Card program's loading and execution speed. At Java Card program, writing, updating and deleting process for data at EEPROM can be improved of Java Card speed by using high speed RAM. For this, at JAVA Card as a application of RAM, I will present prefetching LRU-ORL Buffer Cache Technique that is suitable for Java Card environment. As a data character, managing all data created from JAVA Curd at Buffer Cache, decrease times of recording at maximum for EEPROM so that JAVA Card program upload and execution speed will be improved.

• Journal of Internet Computing and Services
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• v.8 no.3
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• pp.75-83
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• 2007

Multithreaded model is an effective parallel system in that it can reduce the long memory reference latency time and solve the synchronization problems. When compiling the non-strict functional programs for the multithreaded parallel machine, the most important thing is to find an set of sequentially executable instructions and to partitions them into threads. The existing partitioning algorithm partitions the condition of conditional expression, true expression and false expression into the basic blocks and apply local partitioning to these basic blocks. We can do the better partitioning if we modify the definition of the thread and allow the branching within the thread. The branching within the thread do not reduce the parallelism, do not increase the number of synchronization and do not violate the basic rule of the thread partitioning. On the contrary, it can lengthen the thread and reduce the number of synchronization. In the paper, we enhance the method of the partition of threads by combining the three basic blocks into one of two blocks.

• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.105-112
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• 2006

This paper be composed to file system by making a new i_node structure which can decrease Write frequency because this's can improved the file system efficiency if reduced Write operation frequency of flash memory in respect of file system, i-node is designed to realize Cleaning policy of data in order to perform Write operation. This paper suggest Cleaning Algorithm for Write operation through a new i_node structure. In addition, this paper have mode the oldest data cleaned and the most recent data maintained longest as a result of experiment that the recent applied program and data tend to be implemented again through the concept of regional and time space which appears automatically when applied program is implemented. Through experiment and realization of the Flash file system, this paper proved the efficiency of NAND-type flash file system which is required in on Embedded system.

• KNOM Review
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• v.21 no.2
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• pp.46-52
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• 2018

For data-intensive scientific workflow application experiments that leverage the cloud computing environment, large amounts of data can be distributed across multiple data centers in the cloud. The generated intermediate data can also be transmitted through access between different data centers. When the application is executed, the execution result is changed according to the location of the data since the intermediate data generated is used. However, existing data placement strategies do not consider the characteristics of scientific applications. In this paper, we define a data-intensive tasks and propose runtime data placement in that interval. Through the proposed data placement scheme, we analyze the scenarios considering the number of times in the data intensive tasks defined in this study and derive the results. In addition, performance was compared by analyzing runtime data placement times and runtime data placement overhead.

• Journal of IKEEE
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• v.25 no.4
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• pp.664-671
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• 2021

This paper proposes a GPGPU structure that can reduce the number of operations and memory access by effectively applying a data reuse method to a convolutional neural network(CNN). Convolution is a two-dimensional operation using kernel and input data, and the operation is performed by sliding the kernel. In this case, a reuse method using an internal register is proposed instead of loading kernel from a cache memory until the convolution operation is completed. The serial operation method was applied to the convolution to increase the effect of data reuse by using the principle of GPGPU in which instructions are executed by the SIMT method. In this paper, for register-based data reuse, the kernel was fixed at 4×4 and GPGPU was designed considering the warp size and register bank to effectively support it. To verify the performance of the designed GPGPU on the CNN, we implemented it as an FPGA and then ran LeNet and measured the performance on AlexNet by comparison using TensorFlow. As a result of the measurement, 1-iteration learning speed based on AlexNet is 0.468sec and the inference speed is 0.135sec.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.77-85
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• 2009

Execution times of tasks can be variable depend on input data. If we choose a high performance processor to satisfy the worst case execution times, the hard cost becomes high and the energy consumption also becomes large. To apply a lower performance processor, we have to utilize processor capacity maximally while overrunning tasks can not affect deadlines of other tasks. To be used for such systems, this paper presents SBP (Shared Bandwidth Partitioning) that a processor bandwidth is reserved and shared among all tasks. If a task needs more processor capacity, it can use a portion of the shared bandwidth. A simulation result shows that SBP provides better performance than previous algorithms. SBP reduces deadline miss ratio which is related to scheduling quality. And the number of context switches, which is related to system overhead, is also reduced.

• Korean Journal of Organic Agriculture
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• v.15 no.1
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• pp.109-121
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• 2007

For developing standard method for diease, pest and weed control in environmental friendly 'Ssam' vegetable cultivation, this study was carried out to investigating agriculture material use in organic agriculture and no pesticide cultivation for lettuce, kale, leafy perilla and korean cabbage. The 28.6% of investigated farmer carried out seed sterilization by seed selection with salt solution and soaking in chitosan that not validated. For raising seedling periods, the 55.6% of farmer did not use environmental-friendly agriculture material for, diease control and the 50% of farmer used one time for. pest control. Therefore, the control of disease and pest could be achieved with one or two times use of environmental-friendly agriculture material. Seed sterilization was carried out by soil solar sterilization, one time per year in 71.4% of farmer. Weed was controled by black PE film for weed germination of furrow in many farmer, by man-power weeding for weed of ridge in 85% of farmer and by machine weeding and mulching in some farmer. During cultivation period, the major pest were Aphis gossypii in lettuce, Plutella xylostella in kale, Plutella xylostella and Phyllotreta striolata (Fabricius) in korean cabbage and Pyrausta panopealis (Walke) in feat perilla. The many farmers used environ-mental-friendly agriculture material for control of pest over 10 times for spring season, and more used sold materials in market than home-made materials. In result, it needs to develop standardized method and validate cultivation methods for control of disease and pest, and seed sterilization treatment environmental-friendly 'Ssam' vegetable.