• IEIE Transactions on Smart Processing and Computing
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• 제3권4호
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• pp.195-204
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• 2014

This paper presents the depth evaluation for object detection by automated assembling robots. Pattern distortion analysis from a structured light system identifies an object with the greatest depth from its background. An automated assembling robot should prior select and pick an object with the greatest depth to reduce the physical harm during the picking action of the robot arm. Object detection is then combined with a depth evaluation to provide contour, showing the edges of an object with the greatest depth. The contour provides shape information to an automated assembling robot, which equips the laser based proxy sensor, for picking up and placing an object in the intended place. The depth evaluation process using structured light for an automated electronics assembling robot is accelerated for an image frame to be used for computation using the simplest experimental set, which consists of a single camera and projector. The experiments for the depth evaluation process required 31 ms to 32 ms, which were optimized for the robot vision system that equips a 30-frames-per-second camera.

• 한국도로학회논문집
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• 제19권6호
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• pp.165-173
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• 2017

PURPOSES : The current practice in car headlight visibility performance evaluation is based on the luminous intensity and illuminance of headlight. Such practice can be inappropriate from a visibility point of view where visibility indicates abilities to perceive an object ahead on the road. This study aimed at evaluating the appropriateness of current headlight evaluation method. METHODS : This study measured the luminance of object and road surface at unlit roadways. The variables were measured by vehicle type and by headlight lamp type. Based on the measurements, the distance where drivers can perceive an object ahead was calculated and then compared against such distance obtained by conventional visibility performance evaluation. RESULTS : The evaluation method based on illuminance of headlight is not appropriate when viewed from the visibility concept that is based on object-perceivable distance. Further, the results indicated a shorter object-perceiving distance even when road surface luminance is higher, thereby suggesting that illuminance of headlight and luminance of road surface are not the representative indices of nighttime visibility. CONCLUSIONS : Considering that this study utilized limited vehicle types and that road surface (background) luminance can vary depending on the characteristics of the given road surface, it would likely go too far to argue that this study's visibility performance evaluation results can get generalized to other conditions. Regardless, there is little doubt that the current performance evaluation criterion which is based on illuminance, is unreasonable. There should be future endeavors on the current subject which will need to explore study conditions further, under which more experiments should be conducted and effective methodologies developed for evaluating automotive headlight visibility performance. Needs are recognized particularly in the development of headlight visibility performance evaluation methodology which will take into account road surface (background) luminance and luminance contrast from various perspectives as the former indicates the driver's perception of the front road alignment and the latter being indicative of object perception performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권5호
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• pp.1744-1760
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• 2021

Since correlation filter appeared in the field of object tracking, it plays an increasingly vital role due to its excellent performance. Although many sophisticated trackers have been successfully applied to track the object accurately, very few of them attaches importance to the scale and rotation estimation. In order to address the above limitation, we propose a novel method combined with Fourier-Mellin transform and confidence evaluation strategy for robust object tracking. In the first place, we construct a correlation filter to locate the target object precisely. Then, a log-polar technique is used in the Fourier-Mellin transform to cope with the rotation and scale changes. In order to achieve subpixel accuracy, we come up with an efficient surface fitting mechanism to obtain the optimal calculation result. In addition, we introduce a confidence evaluation strategy modeled on the output response, which can decrease the impact of image noise and perform as a criterion to evaluate the target model stability. Experimental experiments on OTB100 demonstrate that the proposed algorithm achieves superior capability in success plots and precision plots of OPE, which is 10.8% points and 8.6% points than those of KCF. Besides, our method performs favorably against the others in terms of SRE and TRE validation schemes, which shows the superiority of our proposed algorithm in scale and rotation evaluation.

• 한국소프트웨어감정평가학회 논문지
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• 제15권2호
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• pp.51-57
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• 2019

소프트웨어의 저작권 도용이 증가하면서 유사성을 판단을 요구하고 있지만, 분석을 위한 목적물의 확보 및 이동에 대한 신뢰성 확보가 중요시 되고 있다. 감정을 위한 데이터로 사용되는 목적물 자료는 법원 및 경찰서와 같은 분쟁 처리 기관에서 감정인에게 제공되는 핵심적인 데이터이다. 목적물은 분쟁 당사자가 저작권위원회에 제출하고 최종적으로 감정 전문가에게 원본상태로 전달되는 이동 과정을 갖는다. 그러나 분쟁 당사자가 감정 결과에 만족하지 않으면 목적물의 신뢰성에 대한 이의를 제기한다. 특히, 소프트웨어 목적물은 파일 형식으로 제작되어, 변형이나 수정이 가능한 것으로 인식되고 있다. 따라서 목적물에 객관성을 부여하는 방법이 다양한 방식으로 검토되고 있으며, 포렌식이 하나의 방법으로 제안되고 있다. 본 연구는 실제 사례의 감정 프로세스를 통해 목적물의 이동 및 신뢰성을 확보하는 방법을 연구하였다.

• 정보기술과데이타베이스저널
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• 제8권1호
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• pp.41-65
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• 2001

This study proposes evaluation dimensions of object-oriented systems modelling tools and activities available in object-oriented systems development practices. The dimensions ale developed based on previous research in cognitive psychology, information systems modeling study, and object-oriented systems analysis arid design areas. The proposed dimension is composed of two dimensions. The one dimension includes abstraction levels of modelling and the other includes process and representation in modeling activities. Experts on object-oriented modeling were selected to evaluate the practical validity of the proposed dimensions and applications of major object-oriented modeling tools during systems development project. Most of the tools were observed to be used for representing objects rather than for modeling the process of related objects. The proposed modeling dimension will be evaluated for acquiring general validity in future empirical research.

• 로봇학회논문지
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• 제7권1호
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• pp.9-19
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• 2012

This paper proposes a performance index for the multiple shape object handling of dual arm manipulator to determine whether a robot is good or not. When the dual-arm manipulator grasps a fixed object and is posed, the dual-arm manipulator should procure a space to freely control the manipulator. As a performance evaluation parameter, each joint torque from current sensor signal is utilized. From the current information, torque and energy for each joint are estimated. In this paper an performance index for an unstructured object is defined by an energy-cost function, and stability analysis for each motion is derived by the maximum force to the object. The maximum force to the object is computed by the inertia of object and acceleration information of end-effector. The acceleration data are derived by the double derivation of each encoder signal. Manipulability measure which implies how efficiently the dual-arm manipulator can move with the grasped object, can be represented by the intersection of the two manipulability ellipsoids for the left and right arms. Effectiveness of the proposed algorithm has been verified through the practical simulations and real experiments.

• 인터넷정보학회논문지
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• 제10권2호
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• pp.75-84
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• 2009

프로그램의 생산성을 향상시키기 위해 프로그램 개발 단계에서 소요되는 비용을 최소화하려는 연구가 다양하게 진행되고 있다. 점진 평가는 프로그램을 수정할 경우, 전체 프로그램을 다시 평가하는 대신 수정한 부분과 그 부분에 영향 받는 부분만을 다시 평가하는 방법이다. 점진 평가 방법은 전체 프로그램을 다시 평가하지 않기 때문에, 프로그램 개발 환경의 실행 효율성 측면에서 고려해 볼 때 매우 중요하다. 본 논문에서는 명령형 언어를 위해 제시된 종속 차트(dependency chart)를 확장하여 객체 지향언어인 자바 같은 언어에서 점진 평가를 수행할 수 있도록 확장된 종속 차트를 제시한다. 객체 지향언어에서 점진 평가를 수행하는 알고리즘을 제시하고 그 알고리즘의 정확성을 증명하고 실험을 통해 점진 평가의 효율성을 분석한다.

• 한국군사과학기술학회지
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• 제27권3호
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• pp.375-386
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• 2024

Autonomous weapon systems act according to artificial intelligence-based judgement based on recognition through various sensors. Test and evaluation for various scenarios is required depending on the characteristics that artificial intelligence-based judgement is made. As a part of this approach, this paper proposed a LiDAR point cloud augmentation method for mixed-reality based test and evaluation. The augmentation process is achieved by mixing real and virtual LiDAR signals based on the virtual LiDAR synchronized with the pose of the autonomous weapon system. For realistic augmentation of test and evaluation purposes, appropriate intensity values were inserted when generating a point cloud of a virtual object and its validity was verified. In addition, when mixing the generated point cloud of the virtual object with the real point cloud, the proposed method enhances realism by considering the occlusion phenomenon caused by the insertion of the virtual object.

• 한국시뮬레이션학회논문지
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• 제6권1호
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• pp.109-122
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• 1997

The Off-Dock Container Yard (ODCY)s in Pusan are located at 48 different places, and it causes serious problems in the container cargo transport and inland traffic near Pusan district. Hence, the analysis and evaluation of ODCY operation is important. Therefore, this paper proposes a simulation model which evaluates the operation of ODCY. It also proposes a simulation model using an object-oriented approach which includes the system is modeled with object-class hierarchy and SIMPLE++, an object-oriented simulation software, is used to develop the model.

• 조명전기설비학회논문지
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• 제29권5호
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• pp.1-12
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• 2015

In this study, we derive an evaluation structure and 18 Valuation vocabulary for the media facade lighting conditions. In addition, this study deduced the applicable elements that could be applied in time of building nightscape lighting design using media facade by conducting affective evaluation. The research results are as follows: It was found that the image axis of "Dynamic, Colorful" showed the lighting change speed was fast with diverse application of lighting color, and its evaluation object applied by general emphasis, vertical emphasis, partial emphasis lighting method was highly assessed. In addition, it was found that "Luxurious, Unusual" axis showed lighting change speed was slow with the application of lighting color in warm hue series, and its evaluation object applied by line lighting, dot lighting, general emphasis lighting methods was highly assessed. Lastly, it was found that "Soft, Secure" image axis showed the lighting change speed was slow with the application of pastel tone lighting color, and the evaluation object applied by general emphasis lighting method was highly assessed.