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A Development of Effective Educational Simulator for Electronic Control System of Automobile Chassis (섀시 전자제어 시스템의 효과적인 교육을 위한 능동형 시뮬레이터의 개발)

  • Son, Il-Moon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.8
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    • pp.3326-3333
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    • 2012
  • In this paper, an educational simulator of automobile chassis electronic control system was developed. The developed system is composed of three parts, a driving condition control & monitoring system, a chassis electronic system monitoring & analysis system, and a virtual simulator & educational multimedia contents. The driving condition control & monitoring system has a commercial real car simulator, hydraulic equipments for representing driving conditions, and a remote control and monitoring system. In the chassis electronic system monitoring & analysis system, information of various sensors and actuators applied to the system can be monitored by Labview programs. Finally, the suggested virtual simulator and the multimedia with 2D Flash and 3D animations can be used effectively by means of teaching materials.

Building a Korean-English Parallel Corpus by Measuring Sentence Similarities Using Sequential Matching of Language Resources and Topic Modeling (언어 자원과 토픽 모델의 순차 매칭을 이용한 유사 문장 계산 기반의 위키피디아 한국어-영어 병렬 말뭉치 구축)

  • Cheon, JuRyong;Ko, YoungJoong
    • Journal of KIISE
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    • v.42 no.7
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    • pp.901-909
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    • 2015
  • In this paper, to build a parallel corpus between Korean and English in Wikipedia. We proposed a method to find similar sentences based on language resources and topic modeling. We first applied language resources(Wiki-dictionary, numbers, and online dictionary in Daum) to match word sequentially. We construct the Wiki-dictionary using titles in Wikipedia. In order to take advantages of the Wikipedia, we used translation probability in the Wiki-dictionary for word matching. In addition, we improved the accuracy of sentence similarity measuring method by using word distribution based on topic modeling. In the experiment, a previous study showed 48.4% of F1-score with only language resources based on linear combination and 51.6% with the topic modeling considering entire word distributions additionally. However, our proposed methods with sequential matching added translation probability to language resources and achieved 9.9% (58.3%) better result than the previous study. When using the proposed sequential matching method of language resources and topic modeling after considering important word distributions, the proposed system achieved 7.5%(59.1%) better than the previous study.

An Extraction Method of Glomerulus Region from Renal Tissue Image (신장조직 영상에서 사구체 영역의 추출법)

  • Kim, Eung-Kyeu
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.2
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    • pp.70-76
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    • 2012
  • In this paper, an automatic extraction method of glomerulus region from human renal tissue image is presented. The important information reflecting the state of kidneys richly included in the glomeruli, so it should be the first step to extract the glomerulus region from the renal tissue image for the further quantitative analysis of the renal condition. Especially, there is no clear difference between the glomerulus and other tissues, so the glomerulus region can not be easily extracted from its background by the existing segmentation methods. The outer edge of a glomerulus region is regarded as a common property for the regions of this kind ; a two- dimensional Gaussian distribution is used to convolve with an original image first and then the image is thresholded at this blurred image ; a closed curve corresponding to the outer edge can be obtained by usual pattern processing skills like thinning, branch-cutting, hole-filling etc., Finally, the glomerulus region can be obtained by extracting the area in the original image surrounded by the closed curve. The glomerulus regions are correctly extracted by 85 percentages and experimental results show the proposed method is effective.

Design and Implementation of Service Control Point(SCP) for a Next-Generation Intelligent Network based on Internet Environment (인터넷 환경에서의 차세대 지능망 적용을 위한 SCP설계 및 구현)

  • Lee, Ji-Young;Kim, Yeon-Joong;Ma, Young-Sik;Kim, Dong-Ho;An, Sun-Shin
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.4
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    • pp.336-349
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    • 2001
  • Intelligent Network (IN) is an architectural framework for the rapid and uniform provision of advanced services. Therefore, Next-generation IN platform should support fast service handling, the dynamic adaptation of various services according to various requirements of users. In this paper, we design and implement the Service Control Point (SCP) that is based on the Internet environment. Especially, we consider the service flexibility, the dynamic distribution of service and propose a set of mechanisms to optimize the performance of this platform. This SCP consists of the platform kernel to control intemal operations, tbe service manager to control all of services, SLPI (Service Logic processing Program Instance) manager to manage each service, and SLPI to handle service interaction. In addition, we propose the Service Creation Environment (SCE) to create easily services on the implemented platfonn and show the example of Call Forwarding service operated on this platform.

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Improvement of Synthetic Speech Quality using a New Spectral Smoothing Technique (새로운 스펙트럼 완만화에 의한 합성 음질 개선)

  • 장효종;최형일
    • Journal of KIISE:Software and Applications
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    • v.30 no.11
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    • pp.1037-1043
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    • 2003
  • This paper describes a speech synthesis technique using a diphone as an unit phoneme. Speech synthesis is basically accomplished by concatenating unit phonemes, and it's major problem is discontinuity at the connection part between unit phonemes. To solve this problem, this paper proposes a new spectral smoothing technique which reflects not only formant trajectories but also distribution characteristics of spectrum and human's acoustic characteristics. That is, the proposed technique decides the quantity and extent of smoothing by considering human's acoustic characteristics at the connection part of unit phonemes, and then performs spectral smoothing using weights calculated along a time axis at the border of two diphones. The proposed technique reduces the discontinuity and minimizes the distortion which is caused by spectral smoothing. For the purpose of performance evaluation, we tested on five hundred diphones which are extracted from twenty sentences using ETRI Voice DB samples and individually self-recorded samples.

A Wireless Sensor Network Architecture and Security Protocol for Monitoring the State of Bridge (교량감시를 위한 무선 센서 네트워크 구조 및 보안 프로토콜)

  • Lim Hwa-Jung;Jeon Jin-Soon;Lee Heon-Guil
    • Journal of the Korea Computer Industry Society
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    • v.6 no.3
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    • pp.465-476
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    • 2005
  • The wireless sensor network consists of a number of sensor nodes which have physical constraints. Each sensor node senses surrounding environments and sends the sensed information to Sink. In order to alleviate the inherent vulnerability in security of the wireless sensor nodes with the hardware constraints, the lightweight security protocol is needed and a variety of research is ongoing. In this paper, we propose a non-hierarchical sensor network and a security protocol that is suitable for monitoring man-made objects such as bridges. This paper, furthermore, explores a two-layer authentication, key distribution scheme which distributes the key and location of a sensor node in advance, and an effective security routing protocol which can take advantage of the Sleep and Awake state. This also results in the increased data transfer rate by increasing the number of alternative routing paths and the reduced energy consumption rate.

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A Situation Evaluation System based on the Strength and the Influence Distribution of Stones in Computer Go (컴퓨터 바둑에서 돌의 세기와 영향력 분포에 기반한 형세 평가 시스템)

  • 김영상
    • Journal of the Korea Computer Industry Society
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    • v.3 no.3
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    • pp.259-270
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    • 2002
  • In computer Go, the method evaluating the situation of a face is not generalized. To evaluate the situations all the faces accurately, computer Go must judge owners of 361 positions according the changes of the faces. In this paper, we apply the structure of graph as a method analyzing the rules and characters of Go. The Situation Evaluation System(SES) which can evaluate the situation of a face without DB information oかy using strength of stone(SS), influence power(IP), safety(S), position value(PV), and position-value matrix(PM) is proposed. This system is very effective to evaluate the whole situations of Go because it can show the owner of 361 positions between Black and White. As a result, SES can well compute the situations in the opening game of Go. It makes 70.9% hit-ratio as compared with the practical Go games of professional players. According to the results compared with Nemesis, the commercial program which has the joseki(established stones: hewn sequences of moves near the corner which result in near-equal positions for White and Black), SES is superior to Nemesis by 10% higher in the hit-ratio of situation evaluations of professional players.

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Performance Improvement of the Statistic Signature based Traffic Identification System (통계 시그니쳐 기반 트래픽 분석 시스템의 성능 향상)

  • Park, Jin-Wan;Kim, Myung-Sup
    • The KIPS Transactions:PartC
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    • v.18C no.4
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    • pp.243-250
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    • 2011
  • Nowadays, the traffic type and behavior are extremely diverse due to the appearance of various services on Internet, which makes the need of traffic identification important for efficient operation and management of network. In recent years traffic identification methodology using statistical features of flow has been broadly studied. We also proposed a traffic identification methodology using payload size distribution in our previous work, which has a problem of low completeness. In this paper, we improved the completeness by solving the PSD conflict using IP and port. And we improved the accuracy by changing the distance measurement between flow and statistic signature from vector distance to per-packet distance. The feasibility of our methodology was proved via experimental evaluation on our campus network.

Active Learning based on Hierarchical Clustering (계층적 군집화를 이용한 능동적 학습)

  • Woo, Hoyoung;Park, Cheong Hee
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.10
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    • pp.705-712
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    • 2013
  • Active learning aims to improve the performance of a classification model by repeating the process to select the most helpful unlabeled data and include it to the training set through labelling by expert. In this paper, we propose a method for active learning based on hierarchical agglomerative clustering using Ward's linkage. The proposed method is able to construct a training set actively so as to include at least one sample from each cluster and also to reflect the total data distribution by expanding the existing training set. While most of existing active learning methods assume that an initial training set is given, the proposed method is applicable in both cases when an initial training data is given or not given. Experimental results show the superiority of the proposed method.

Field Survey on the Construction Errors for the Members of Reinforced Concrete Structures (현장조사를 통한 철근콘크리트 구조 부재의 시공오차에 관한 연구)

  • Yoon, Sang-Chun;Jee, Nam-Yong;Choi, Ki-Bong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.3
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    • pp.201-208
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    • 2010
  • Information on the distribution characteristics of construction errors is very important to determine the member factors, which are to be introduced in a new Korean design code for reinforced concrete structures. The new design code, which is under development for reinforced concrete structures, is based on the performance design concept. The construction errors of reinforced concrete members are mainly caused by the firmness and dimensional accuracy of forms, the arranging condition of reinforcing bars, the pouring and compaction methods of concrete, the skills of field workers, and the experience of supervisors. To find out the construction errors of reinforced concrete structures already built in Korea, a field survey for cover thickness, effective depth of reinforcement, the thickness of slabs and walls, and the dimension of beams and columns has been performed. Based on the survey, which is the first time in Korea, the analysis results are presented. The measuring methods for the construction errors, which have been established through the laboratory tests, are also presented. In addition, the measured construction errors from the survey are compared with the allowable tolerances in the current domestic and foreign specifications.