• Title/Summary/Keyword: 집합 입출력

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Performance and Power Consumption Improvement of Embedded RISC Core (임베디드 RISC 코어의 성능 및 전력 개선)

  • Jung, Hong-Kyun;Ryoo, Kwang-Ki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.453-461
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    • 2010
  • This paper presents a branch prediction algorithm and a 4-way set-associative cache for performance improvement of embedded RISC core and a clock-gating algorithm using ODC (Observability Don't Care) operation to improve the power consumption of the core. The branch prediction algorithm has a structure using BTB(Branch Target Buffer) and 4-way set associative cache has lower miss rate than direct-mapped cache. Pseudo-LRU Policy, which is one of the Line Replacement Policies, is used for decreasing the number of bits that store LRU value. The clock gating algorithm reduces dynamic power consumption. As a result of estimation of performance and dynamic power, the performance of the OpenRISC core applied the proposed architecture is improved about 29% and dynamic power of the core using Chartered $0.18{\mu}m$ technology library is reduced by 16%.

Implemented Logic Circuits of Fuzzy Inference Engine for DC Servo Control Using decomposition of $\alpha$-level fuzzy set ($\alpha$-레벨 퍼지집합 분해에 의한 직류 서보제어용 퍼지추론 연산회로 구현)

  • 이요섭;손의식;홍순일
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.5
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    • pp.1050-1057
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    • 2004
  • The purpose of study is development of a fuzzy controller which independent of a computer and its software for fuzzy control of servo system. This paper describes a method of approximate reasoning for fuzzy control of servo system, based on decomposition of $\alpha$-level fuzzy sets, It is propose that fuzzy logic algorithm is a body from fuzzy inference to defuzzificaion in cases where the output variable u directly is generated PWM. The effectiveness of quantified $\alpha$-levels on input/output characteristics of fuzzy controller and output response of DC servo system is investigated. It is concluded that $\alpha$-cut 4 levels give a sufficient result for fuzzy control performance of DC servo system. The experimental results shows that the proposed hardware method is effective for practical applications of DC servo system.

Control of DC-Servomotor Speed by Using Fuzzy Controller (퍼지제어기를 이용한 DC 서보 모터의 속도 제어)

  • Kang, Geun-Taek;Kim, Young-Taek
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.26 no.1
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    • pp.76-80
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    • 1990
  • DC-servomotor acts an important role in robots and manipulatirs. But the precise control of DC-motor is difficult by a using usual linear controller because of the nonlinear characteristics of DC-motor. This study suggests the use of fuzzy controller in the control of DC-servomotor speed. The fuzzy controller is designed from a fuzzy model which can represent nonlinear systems very well. Hence the fuzzy controller is very useful in the control of nonlinear systems such as DC-motor. We construct a fuzzy model of DC-servomotor, design a fuzzy controller from the fuzzy model, and compare that with a linear controller. When we use the fuzzy controller, the static ripples are reduced and the rise time is required 20% less than in using a linear controller.

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Low-Latency Median Filter Architecture for High-Speed Image Signal Processor (초고속 영상 신호 처리기를 위한 낮은 잠복지연시간을 가지는 미디언 필터 구조)

  • Park, Hyun Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.113-116
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    • 2011
  • 고해상도 이미지 센서를 장착한 고가의 모바일 제품들이 확산되면서 중간값 필터에 기반을 둔 잡음 제거 필터의 필요성이 증가하고 있다. 이는 초박형 카메라에 내장된 이미지 센서의 물리적인 수광부 면적이 줄어듦에 따라 이미지 센서의 SNR이 떨어지기 때문이다. 게다가 영상의 해상도가 매우 높기 때문에 잡음제거 필터는 초고속으로 동작해야 한다. 따라서 잡음 제거 필터의 핵심 기능인 중간값 필터는 높은 동작주파수에서도 효과적으로 동작해야 한다. 초고속으로 동작하는 필터를 하드웨어로 구현하려면 입출력 간의 물리적 지연시간을 클럭의 주기 단위로 나누어서, 시분할하여 순차적으로 처리하는 파이프라인 구조를 가져야 한다. 파이프라인 단계는 많은 비용이 소모되는 레지스터로 구현되므로 파이프라인 단계를 줄이는 것이 바람직하다. 본 논문에서는 입력부터 출력까지의 물리적 지연시간이 데이터의 수에 비례하는 기존의 중간값 필터와 달리, 데이터 수의 로그값에 비례하는 중간값 필터의 구조를 제안한다. 제안한 중간값 필터는 서로 다른 값을 가지는 데이터 집합에서의 중간값은 자신보다 큰 원소의 수와, 작은 원소의 수가 같다는 사실을 이용하며, 버블 정렬 구조에 기반을 둔 중간값 필터에 비해서 같은 동작주파수에서의 게이트 수가 25.3% 줄어든다. 중간값 필터는 잡음제거나 위색제거 등에서도 널리 사용되고 있으므로, 제안한 구조의 중간값 필터는 초고속으로 동작하는 이미지 신호 처리기의 효과적인 구현에 적합하다.

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Developing XForms Based Mobile User Interface for Web Service Composition (서비스 조합을 위한 XForms 기반의 모바일 사용자 인터페이스 개발)

  • Lee, Eun-Jung
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.879-888
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    • 2008
  • As web services have become an important architecture solution, web service composition applications are developed actively. A mobile application supporting multiple services requires a complex user interface so that the interface needs to consist of more than one view and to provide a way to navigate between views. In this paper, we presented a formal way to analyze a set of views for a given service specification, and a relation model between views and methods. We then provided an algorithm to generate codes for service method calls and navigation between views. Therefore, with an optional user configuration input, we could automatically generated XForms codes from the web service specifications. Finally, we developed a proof of concept implementation of XForms browser to show that the generated codes works well as an interface for web service compositions.

A Study on the Analysis of Non-competitive factors of Mokpo port and Improvement (목포항 비경쟁 요인 분석 및 개선방안 연구)

  • Park, Gyei-Kark;Choi, Kyoung-Hoon;Lee, Cheong-Hwan
    • Journal of Korea Port Economic Association
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    • v.34 no.3
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    • pp.113-132
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    • 2018
  • Mokpo port marked the $131^{st}$ anniversary of its opening in 2018. while the Mokpo has taken the new port development initiatives, it is limited by inefficient port functioning due to the lack of maritime port policy and government investment. Hence, port logistics has not been activated. Additionally, studies on Mokpo port have not been conducted, and knowledge available on the port is declarative in nature. On the other hand, research on port competitiveness focuses on how to analyze the factors that determine port competitiveness. Therefore, this study was intended to expand the existing research on Mokpo port and conduct an analysis of non-competitiveness factors and suggested improvements by considering the operational aspect of Mokpo port. In this regard the importance of non-competitiveness factors was assessed through an analytic hierarchy process(AHP) analysis and the influence of the non-competitiveness factors was analyzed through an fuzzy structural modeling(FSM) analysis. The result of the AHP analysis show ed the important non-competitiveness factors included the deactivation of industrial complexes around Mokpo port, the number of liner route, the cost of the pilot and tug. Accor ding to the FSM analysis, the top level included the non-competitive factors at Mokpo port; the intermediate level included the number of liner routes, cost of pilot and tug, enrance and clearance fee, costs of inland transportation, fee for port facilities, and loading and unloading costs; and the bottom level comprised the most non-competitive factors including the deactivation of industrial complexes around Mokpo port, hinterland connectivity, access to international port, incentives, and cost of transportation and storage. Based on the results of analysis, improvements were suggested for non-competitive factors of Mokpo.

The Intelligent Control System for Biped Robot Using Hierarchical Mixture of Experts (계층적 모듈라 신경망을 이용한 이동로봇 지능제어기)

  • Choi Woo-Kyung;Ha Sang-Hyung;Kim Seong-Joo;Kim Yong-Taek;Jeon Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.4
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    • pp.389-395
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    • 2006
  • This paper proposes the controller for biped robot using intelligent control algorithm. In order to simplify the complexity of biped robot control, manipulator of biped robot is divided into four modules. These modules are controlled by intelligent algorithm with Hierarchical Mixture of Experts(HME) using neural network. Also neural network having direct control method learns the inverse dynamics of biped robot. The HME, which is a network of tree structure, reallocates the input domain for the output by learning pattern of input and output. In this paper, as a result of learning HME repeatedly with EM algorithm, the controller for biped robot operating safety walking is designed by modelling dynamics of biped robot and generating virtual error of HME.

Inference System Fusing Rough Set Theory and Neuro-Fuzzy Network (Rough Set Theory와 Neuro-Fuzzy Network를 이용한 추론시스템)

  • Jung, Il-Hun;Seo, Jae-Yong;Yon, Jung-Heum;Cho, Hyun-Chan;Jeon, Hong-Tae
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.9
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    • pp.49-57
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    • 1999
  • The fusion of fuzzy set theory and neural networks technologies have concentrated on applying neural networks to obtain the optimal rule bases of fuzzy logic system. Unfortunately, this is very hard to achieve due to limited learning capabilities of neural networks. To overcome this difficulty, we propose a new approach in which rough set theory and neuro-fuzzy fusion are combined to obtain the optimal rule base from input/output data. Compared with conventional FNN, the proposed algorithm is considerably more realistic because it reduces overlapped data when construction a rule base. This results are applied to the construction of inference rules for controlling the temperature at specified points in a refrigerator.

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Semantic-based Automatic Open API Composition Algorithm for Easier-to-use Mashups (Easier-to-use 매쉬업을 위한 시맨틱 기반 자동 Open API 조합 알고리즘)

  • Lee, Yong Ju
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.5
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    • pp.359-368
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    • 2013
  • Mashup is a web application that combines several different sources to create new services using Open APIs(Application Program Interfaces). Although the mashup has become very popular over the last few years, there are several challenging issues when combining a large number of APIs into the mashup, especially when composite APIs are manually integrated by mashup developers. This paper proposes a novel algorithm for automatic Open API composition. The proposed algorithm consists of constructing an operation connecting graph and searching composition candidates. We construct an operation connecting graph which is based on the semantic similarity between the inputs and the outputs of Open APIs. We generate directed acyclic graphs (DAGs) that can produce the output satisfying the desired goal. In order to produce the DAGs efficiently, we rapidly filter out APIs that are not useful for the composition. The algorithm is evaluated using a collection of REST and SOAP APIs extracted from ProgrammableWeb.com.

A Sequential Pattern Mining based on Dynamic Weight in Data Stream (스트림 데이터에서 동적 가중치를 이용한 순차 패턴 탐사 기법)

  • Choi, Pilsun;Kim, Hwan;Kim, Daein;Hwang, Buhyun
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.2
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    • pp.137-144
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    • 2013
  • A sequential pattern mining is finding out frequent patterns from the data set in time order. In this field, a dynamic weighted sequential pattern mining is applied to a computing environment that changes depending on the time and it can be utilized in a variety of environments applying changes of dynamic weight. In this paper, we propose a new sequence data mining method to explore the stream data by applying the dynamic weight. This method reduces the candidate patterns that must be navigated by using the dynamic weight according to the relative time sequence, and it can find out frequent sequence patterns quickly as the data input and output using a hash structure. Using this method reduces the memory usage and processing time more than applying the existing methods. We show the importance of dynamic weighted mining through the comparison of different weighting sequential pattern mining techniques.