• Title/Summary/Keyword: independent object

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The Study of an Object-Oriented Macro Assembler for Next-Generation Microprocessors (차세대 마이크로프로세서를 위한 어셈블러의 객체화에 대한 연구)

  • Jeong, Tae-Ui;Lee, Ji-Yeong;Lee, Gwang-Yeop;Lee, Yong-Seok
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.3
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    • pp.804-811
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    • 1999
  • The object-oriented methods are being rapidly accepted as the solution for the software crisis. Object-oriented systems are composed of the integration of independent object modules; their merits are such that it is possible to reuse objects already developed, and that, when changes are required, modifications are restricted to some independent objects such that their affects to other objects are so little. In this paper, we deal with the macro assembler for next-generation microprocessors which has the merits of object methods. Whenever a microprocessor is newly developed, new assembler should be developed or the existing assembler be modified. In the former, it leads to the loss of time and money by the repeated developments, and, in the latter, it causes the problem of inefficient productivity since other modules are to be analyzed for the affections followed by modifications of one module, especially in the existing assemblers. To resolve these problems, the object-oriented macro assembler suggested in this paper consists of independent objects separable such that it shows reusability and reduces the inefficient productivity by minimizing the affects to other objects. Moreover, the object-oriented macro assembler integrates a macro pre-processor into an assembler, and uses automata for analyzing input streams to reduce the compile time.

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Independent Object based Situation Awareness for Autonomous Driving in On-Road Environment (도로 환경에서 자율주행을 위한 독립 관찰자 기반 주행 상황 인지 방법)

  • Noh, Samyeul;Han, Woo-Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.2
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    • pp.87-94
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    • 2015
  • This paper proposes a situation awareness method based on data fusion and independent objects for autonomous driving in on-road environment. The proposed method, designed to achieve an accurate analysis of driving situations in on-road environment, executes preprocessing tasks that include coordinate transformations, data filtering, and data fusion and independent object based situation assessment to evaluate the collision risks of driving situations and calculate a desired velocity. The method was implemented in an open-source robot operating system called ROS and tested on a closed road with other vehicles. It performed successfully in several scenarios similar to a real road environment.

Integrated Object Representations in Visual Working Memory Examined by Change Detection and Recall Task Performance (변화탐지와 회상 과제에 기초한 시각작업기억의 통합적 객체 표상 검증)

  • Inae Lee;Joo-Seok Hyun
    • Korean Journal of Cognitive Science
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    • v.35 no.1
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    • pp.1-21
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    • 2024
  • This study investigates the characteristics of visual working memory (VWM) representations by examining two theoretical models: the integrated-object and the parallel-independent feature storage models. Experiment I involved a change detection task where participants memorized arrays of either orientation bars, colored squares, or both. In the one-feature condition, the memory array consisted of one feature (either orientations or colors), whereas the two-feature condition included both. We found no differences in change detection performance between the conditions, favoring the integrated object model over the parallel-independent feature storage model. Experiment II employed a recall task with memory arrays of isosceles triangles' orientations, colored squares, or both, and one-feature and two-feature conditions were compared for their recall performance. We found again no clear difference in recall accuracy between the conditions, but the results of analyses for memory precision and guessing responses indicated the weak object model over the strong object model. For ongoing debates surrounding VWM's representational characteristics, these findings highlight the dominance of the integrated object model over the parallel independent feature storage model.

3D Object Recognition Using SOFM (3D Object Recognition Using SOFM)

  • Cho, Hyun-Chul;Shon, Ho-Woong
    • Journal of the Korean Geophysical Society
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    • v.9 no.2
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    • pp.99-103
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    • 2006
  • 3D object recognition independent of translation and rotation using an ultrasonic sensor array, invariant moment vectors and SOFM(Self Organizing Feature Map) neural networks is presented. Using invariant moment vectors of the acquired 16×8 pixel data of square, rectangular, cylindric and regular triangular blocks, 3D objects could be classified by SOFM neural networks. Invariant moment vectors are constant independent of translation and rotation. The recognition rates for the training and testing data were 95.91% and 92.13%, respectively.

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Influencing Factors on the Adoption of Object-Oriected Computing

  • Kim, lnjai
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.10a
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    • pp.613-622
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    • 1998
  • This study investigates the factors that affect the adoption of object orientation . One major research question is addressed : What are the factors that significantly influeence the adoption of object orientation ? This study especially explores the impact of independent variables on the level of actual usage of object orientation. The independent variables are classified into four categories as follow ; (1) Individual factors : amount of experience in using the structures methods and level of openness toward new technologies ; (2) Managerical factors : perceived management support and training : (3) Organizatinal factors : number of IS professionals in the working group and that in organization ; and (4) Environmental factors ; accessibility to technology champions and software hardware environment supporting object orientation. A Questionnaire measuring the above variables was utilized to investigate the effect of these variables on the dependent variable, the actual usage of object orientation. The structured questionnaire was administered to Data Processing Management Association (DPMA) professionals in U. S. The results of this study revealed several important findings with most results being consistent with expectations based on related theory. The personal openness toward new technologies, perceived management support, training, and hardware/software environment were highly related to the usage of object orientation. This study suggested an empiriclal basis for understanding the early adoption of object orientation in organization.

An Implementation of Web-based Client/Server Architecture using Distributed Objects (분산 객체를 이용한 웹기반 클라이언트 / 서버 구조의 구현)

  • 박희창;이태공
    • Journal of the military operations research society of Korea
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    • v.23 no.2
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    • pp.25-44
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    • 1997
  • Internet users been rapidly increased due to the convenient GUI environment. Current Web-based HTTP/CGI client/server architecture has several problems such as the CGI bottleneck, no maintaince of state, and no load balancing. However, with Java and CORBA technologies called“Object Web technology”, we can solve them because Java is not only a mobile code but also a platform-independent code, and CORBA has ability to build distributed object and language-independent object model. The goal of “Object Web technology”is to create multivendor, multiOS, multilanguage“legoware”using objects. This paper implement“Book Search System”which is Web-based client/server architecture using distributed objects. Environments of this implementation are Hangul Windows NT(included IIS) server, Hangul Windows 95 client, Visigenic's VisiBroker for Java 1.2 which is a product of CORBA 2.0, HTTP protocol on TCP-IP-based, Sybase SQL Anywhere 5.0 database server, and the interface between application server and database is JDBC-ODBC bridge middleware.

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An Object-oriented Framework SOAF utilizing MXL-SOAP for Platform-Independent Component-Based Development (플랫폼 독립적 컴포넌트 기반 개발을 위한 XML-SOAP 활용 객체지향프레임워크 SOAF)

  • 장진영;최용선
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.969-979
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    • 2004
  • Recently, large-scale enterprise information systems are commonly based on the multi-tiered middleware or frameworks to support such requirements as functional reuse, heterogeneous system resources, and multiple platforms. However, these multi-tiered or distributed multi-platform architecture incurs the interoperability issue of the components and metadata among the middleware. This paper introduces the Simple Object Application Framework (SOAF) which supports heterogeneous resources and platform-independent component-based development, with the abstract programming style of the object-oriented frameworks and the XML-SOAP based component persistence mechanism.

Incremental Circle Transform Theory and Its Application for Orientation Detection of Two-Dimensional Objects (증분원변환 이론 및 이차원 물체의 자세인식에의 응용)

  • ;;Zeung Nam Bien
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.7
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    • pp.578-589
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    • 1991
  • In this paper, there is proposed a novel concept of Incremintal Circle Transform which can describe the boundary contour of a two-dimensional object without object without occlusions. And a pattern recognition algorithm to determine the posture of an object is developed with the aid of line integral and similarity transform. Also, It is confirmed via experiments that the algorithm can find the posture of an object in a very fast manner independent of the starting point for boundary coding and the position of the object.

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Rule-based and Probabilistic Event Recognition of Independent Objects for Interpretation of Emergency Scenarios (긴급 상황 시나리오 해석을 위한 독립 객체의 규칙 기반 및 확률적 이벤트 인식)

  • Lee, Jun-Cheol;Choi, Chang-Gyu
    • Journal of Korea Multimedia Society
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    • v.11 no.3
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    • pp.301-314
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    • 2008
  • The existing event recognition is accomplished with the limited systematic foundation, and thus much longer learning time is needed for emergency scenario interpretation due to large scale of probability data. In this paper, we propose a method for nile-based event recognition of an independent object(human) which extract a feature vectors from the object and analyze the behavior pattern of each object and interpretation of emergency scenarios using a probability and object's events. The event rule of an independent object is composed of the Primary-event, Move-event, Interaction-event, and 'FALL DOWN' event and is defined through feature vectors of the object and the segmented motion orientated vector (SMOV) in which the dynamic Bayesian network is applied. The emergency scenario is analyzed using current state of an event and its post probability. In this paper, we define diversified events compared to that of pre-existing method and thus make it easy to expand by increasing independence of each events. Accordingly, semantics information, which is impossible to be gained through an.

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A new pattern classification algorithm for two-dimensional objects

  • You, Bum-Jae;Bien, Zeungnam
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.917-922
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    • 1990
  • Pattern classification is an essential step in automatic robotic assembly which joins together finite number of seperated industrial parts. In this paper, a fast and systematic algorithm for classifying occlusion-free objects is proposed, using the notion of incremental circle transform which describes the boundary contour of an object as a parametric vector function of incremental elements. With similarity transform and line integral, normalized determinant curve of an object classifies each object, independent of position, orientation, scaling of an object and cyclic shift of the stating point for the boundary description.

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