• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.147-157
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• 2017

In recent years, Super-pixels have become very popular for use in computer vision applications. Super-pixel algorithm transforms pixels into perceptually feasible regions to reduce stiff features of grid pixel. In particular, super-pixels are useful to depth estimation, skeleton works, body labeling, and feature localization, etc. But, it is not easy to generate a good super-pixel partition for doing these tasks. Especially, super-pixels do not satisfy more meaningful features in view of the gestalt aspects such as non-sum, continuation, closure, perceptual constancy. In this paper, we suggest an advanced algorithm which combines simple linear iterative clustering with fuzzy clustering concepts. Simple linear iterative clustering technique has high adherence to image boundaries, speed, memory efficient than conventional methods. But, it does not suggest good compact and regular property to the super-pixel shapes in context of gestalt aspects. Fuzzy similarity measures provide a reasonable graph in view of bounded size and few neighbors. Thus, more compact and regular pixels are obtained, and can extract locally relevant features. Simulation shows that fuzzy similarity based super-pixel building represents natural features as the manner in which humans decompose images.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.551-555
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• 2010

In protein 2-DE image analysis, the accuracy of spot-matching operation which identifies the spot of the same protein in each 2-DE gel image is intensively influenced by the errors caused by the various experimental conditions. This paper proposes an efficient method to find more accurate spot-matching patterns based on multiple reference gel images in spot-matching pattern analysis in protein 2-DE image analysis. Additionally, in order to improve the reduce the execution time which is increased exponentially along with the increasing number of gel images, a "partition then extension" framework is used to find spot-matching pattern of long length and of higher accuracy. In the experiments on real 2-DE images of human liver tissue are used to confirm the accuracy and the efficiency of the proposed algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4592-4596
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• 2010

This paper is related to the method for sharing some remote devices through USB/IP on the connected system environment. Sharing the remote devices is actually based on the connection technology using USB which is one way of access methods on virtualized server environment. The users who receive server computing unit might want to connect to remote allocated server with the local devices. We can solve the problem of the access methods related to the sharing devices through USB device emulation. This paper discusses the implementation of USB emulation which is based on personalized services on virtualized server environment. Like this, this paper will share devices on the level of USB device. This research can write to the device directly due to virtualizing the device level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.25-32
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• 2008

This paper presents the reflection and transmission measurements conducted at the 60GHz suitable to provide a high speed wide band service. Mean received power and standard deviation are calculated and used to compare the characteristics of radio wave propagation to the various obstacles between transmitting and receiving antennas at the frequency. The results show that the transmitted signal strength by the steel door and copper plate are about 40dB lower than in free space, those by the rubber plate, glass and styroform are about 3dB lower than in free space. Also, the re(looted signal strengths at the 60 degree grazing angle show that in case by the partition is about 23dB lower, by the surface of a wall is about 6dB lower than by the copper plate. The presented results can be used for the design of 60 GHz picocell communication network that the reflected and transmitted waves affect to the service area.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.101-108
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• 2021

Modern people are suffering from a lack of exercise along with their daily lives, and the foot's pedigree disease is increasing as a result, foot pedigree disease is also increasing. As a result, the design of socks is diversifying, and among them, the development of toe socks that help prevent and alleviate foot problems is also actively underway. Thus, this study conducted a study on toe socks design and summarized the concept of toe socks design through theoretical background. It also established tasks to be used for usability evaluation through case studies and prior research. An empirical study showed that the satisfaction of toe socks design was lower than that of ordinary socks, and that of toe socks design was more satisfactory in terms of usability. As a result, improvements in toe sock design have been derived, and it is expected that the hidden partitions between first toe sock can be supplemented, and toe sock design can be improved through similar color scheme and color diversification.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.434-434
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• 2023

다양한 지면 모형은 대기 강제력 데이터 세트에 의해 구동되며 육지의 물, 에너지 및 생지화학적 순환의 해석에 활용된다. 그 중 에너지 플럭스 교환을 추정하는 것은 극심한 가뭄, 폭염, 물 부족 등 극한 기후 현상에서 중요한 역할을 한다. 에너지 플럭스는 기상기후조건과 토지피복의 변화에 따른 영향을 받고 있는데 그 영향을 구체적으로 조사하는 것은 생태계 프로세스의 매커니즘을 구성하는 데 필수적이다. 본 연구에서는 최신버전인 Community Land Model 버전 5.0 (CLM5)를 이용하여 동북아시아 지역의 에너지 플럭스의 시공간분포를 분석하였다. CLM5의 시뮬레이션은 1991년부터 2010년까지 2.5° × 2.5° 그리드에서 실행되었고 주요 에너지 인자인 순복사량, 현열, 잠열을 모의하였으며, 실행결과는 FLUXNET의 동북아시아 사이트의 관측자료를 이용하여 모델을 검증 및 평가하였다. 대기 강제력 변수의 차이는 모의 결과에 영향을 미치기 때문에 수문인자와 토지피복유형에 따른 에너지 플럭스의 변동성을 분석하였고 잠열을 식생 증발산열과 지면 증발열로 파티션하여 연구지역에 따른 각 구성요소의 비율을 산정하였다. 20년간의 순복사열, 잠열과 온도의 시공간적 변동성의 연 추세를 분석한 결과 동북아시아의 대부분 지역에서 잠열과 온도는 소폭 증가되였고 순복사열은 중국 내륙과 몽골지역에서 감소되였다. 본 연구는 지표와 대기 사이의 에너지 교환에 대해 분석하였으며 이후 증발산 및 물 플럭스와의 연동성과 관계성 분석에 활용하여 기후변화를 이해하는 데 기여할수 있을 것으로 사료된다.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.429-435
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• 2023

The increasing complexity of avionics systems has emphasized the portability and reusability of software components. In this paper, a structural design method for IOSS (Input Output Service Segment) and TSS (Transport Service Segment) complying with the FACE (The Future Airborne Capability Environment) standard in the VxWorks 653 operating environment that satisfies ARINC 653 requirements is described. IOSS and TSS operate independently in different partitions to minimize time/space separation and the influence of other software, and to increase portability and reusability, strategy patterns among design patterns are applied. In addition, IOSS provides external interface service by applying distributed IO service structure, and among external interfaces, the ARINC 664 P7 interface of FACE-compliant equipment is placed in TSS to optimize the data movement path.

• Convergence Security Journal
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• v.22 no.1
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• pp.99-111
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• 2022

With current battlefield environment relying heavily on Network Centric Warfare(NCW), existing weaponary systems are evolving into a new concept that converges IT technology. Majority of the weaponary systems are implemented with numerous embedded softwares which makes such softwares a key factor influencing the performance of such systems. Furthermore, due to the advancements in both IoT technoogies and embedded softwares cyber threats are targeting various embedded systems as their scope of application expands in the real world. Weaponary systems have been developed in various forms from single systems to interlocking networks. hence, system level cyber security is more favorable compared to application level cyber security. In this paper, a secure real-time operating system has been designed, implemented and measured to protect embedded softwares used in weaponary systems from unknown cyber threats at the operating system level.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.1
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• pp.9-18
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• 2018

Enhancing performance of big data analytics in distributed environment has been issued because most of the big data related applications such as machine learning techniques and streaming services generally utilize distributed computing frameworks. Thus, optimizing performance of those applications at Spark has been actively researched. Since optimizing performance of the applications at distributed environment is challenging because it not only needs optimizing the applications themselves but also requires tuning of the distributed system configuration parameters. Although prior researches made a huge effort to improve execution performance, most of them only focused on one of three performance optimization aspect: application design, system tuning, hardware utilization. Thus, they couldn't handle an orchestration of those aspects. In this paper, we deeply analyze and model the application processing procedure of the Spark. Through the analyzed results, we propose performance optimization schemes for each step of the procedure: inner stage and outer stage. We also propose appropriate partitioning mechanism by analyzing relationship between partitioning parallelism and performance of the applications. We applied those three performance optimization schemes to WordCount, Pagerank, and Kmeans which are basic big data analytics and found nearly 50% performance improvement when all of those schemes are applied.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.43-51
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• 2022

In this paper, we suggest the method to improve the existing method leaning context-free grammar(CFG) using tabular representation(TBL) as a chromosome of genetic algorithm in grammatical inference and show the more efficient experimental result. We have two improvements. The first is to improve the formula to reflect the learning evaluation of positive and negative examples at the same time for the fitness function. The second is to classify partitions corresponding to TBLs generated from positive learning examples according to the size of the learning string, proceed with the evolution process by class, and adjust the composition ratio according to the success rate to apply the learning method linked to survival in the next generation. These improvements provide better efficiency than the existing method by solving the complexity and difficulty in the crossover and generalization steps between several individuals according to the size of the learning examples. We experiment with the languages proposed in the existing method, and the results show a rather fast generation rate that takes fewer generations to complete learning with the same success rate than the existing method. In the future, this method can be tried for extended CYK, and furthermore, it suggests the possibility of being applied to more complex parsing tables.