• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.1-7
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• 2019

Previously, parallel computing was mainly used in areas requiring high computing performance, but nowadays, multicore CPUs and GPUs have become widespread, and parallel programming advantages can be obtained even in a PC environment. Various parallel programming frameworks using multicore CPUs such as OpenMP and PPL have been announced. Nvidia and AMD have developed parallel programming platforms and APIs for program developers to take advantage of multicore GPUs on their graphics cards. In this paper, we develop digital image transformation programs that runs on each of the major parallel programming frameworks, and measure the execution time. We analyze the characteristics of each framework through the execution time comparison. Also a constant K indicating the ratio of program execution time between different parallel computing environments is presented. Using this, it is possible to predict rough execution time without implementing a parallel program.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.19-26
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• 2016

The main purpose of computing education is to teach the Computational Thinking which is based on Abstraction, Automation and etc. In Elementary and Secondary Education, programming activity is provided for the purpose of learning algorithm design. In this paper, the achievements of learning concepts of algorithm design are analyzed on the learner's characteristics in the programming activities using the Tangible programming tools for elementary and secondary school students. As a result, the achievement did not show the difference on grades but the usability showed the difference on genders.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.33A no.3
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• pp.107-116
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• 1996

Recently, the flash memory has been abstracting great attention in the semiconductor market in the world because of its potential applications as mass storage devices. One of the most significant barriers to the scalling-down of the stacked-gate devices such as EPROM's and flash EEPROM's is the large subthreshold leakage in the unselected cells connected with the bit line of a selected cell in the array during programming. The large subthreshold leakge is majorly due to the capacitive coupling between the floating gates of the unselectd cells and the bit line of selected cell. In this paper, a new programming method to redcue significantly the drain turn-on leakage in the unselected cells during programming has been studied, where a little positive voltage (0.25-0.75V) is applied to the soruce during programming unlike the conventional programming method in which the source is grounded. The resutls of the PISCES simulations and the electrical measurements for the standard EPROM with 0.35.mu.m effective channel length and 1.0.mu.m effective channel width show that the subthreshold leakage in the unselectd cells is significantly large when the source is grounded, whereas it is negligibly small when the source is biased ot a little positive voltage during programming. On the other hadn, the positive bias on the source is found to have little effects on the programming speed of the EPROM.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.303-314
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• 2019

Since 2019, the informatics education is being conducted for elementary school 5th, 6th grade students through the curriculum revised 2015. But, informatics education is implemented from the lower grades of elementary school in many countries. The purpose of this study was to suggest the direction in the choice of programming language considering characteristics for lower grades student. In order to achieve the goal, evaluation criteria were developed considering the development characteristics of lower grades and necessary elements of educational programming language. The results of analyzing the usability of the two languages based on the criterion are as follows. First, Viscuit can be used to consider the expressive power of students with lower school age or to learn algorithms without learning about programming concepts. Second, ScratchJr is easy to learn the concept of algorithm and programming. This study is meaningful in that has presented implications considering the developmental state of the students in preparation for rhe programming education.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.4
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• pp.339-345
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• 2010

This paper introduces GP(Genetic Programming) based robust corner detectors for scaled and rotated images. Various empirical algorithms have been studied to improve computational speed and accuracy including approaches, such as the Harris and SUSAN, FAST corner detectors. These techniques are highly efficient for well-defined corners, but are limited to corner-like edges which are often generated in rotated images. It is very difficult to detect correctly edges which have characteristics similar to corners. In this paper, we have focused the above challenging problem and proposed Genetic Programming-based automated generation of corner detectors which is robust to scaled and rotated images. The proposed method is compared to the existing corner detectors on test images and shows superior results.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.382-395
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• 2017

Learning computational thinking is very important in programming education. Computational thinking refers to the problem solving ability based on the theories of computer science, indicating the importance of algorithm thinking. That is the reason for focusing on promoting creativity and improving the problem solving ability of the students in programming education. This paper commented the elements to consider for teachers when teaching computational thinking to elementary school students with online coding education website 'code.org' that helps beginners have easy programming experiences based on the characteristics of the website, and proposed the appropriate teaching methods.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.137-141
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• 1986

This paper presents optimal recursive digital filter design to meet simultaneous specifications of magnitude and linear phase characteristics. As is well known, the overshoot in the vicinity of discontinuity is hight. The technique using linear programming (the dual programming) is choosing more specification points in the vicinity of band limit frequency. The resulting filter can shown improved response and numerical accuracy with reduced nonuniform specification points in frequency domain.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.3
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• pp.7-13
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• 2004

In this paper, machine cell formation problem is discussed. To reflect precisely actual manufacturing situations such as routing sequences, production quantities, and machining (or operation) characteristics, a new network presentation (or the problem is proposed. It is formulated as a simple 0-1 quadratic programming model with linear constraints. Then, the model is converted into a 0-1 integer programming model using a variable transformation technique. Lastly, some computational results are presented.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.49-55
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• 2021

This study analyzed the relationship between the characteristics of learners and the achievement level according to the language they learn in programming education for non-major students. The learner's characteristics were set as mastery goal, situaltional interest, cognitive engagement, and self-efficacy for performance, and path analysis was conducted to understand the relationship between the language used and the learning achievement. Situaltional interest and cognitive engagement were found to have an effect on self-efficacy for performace, and self-efficacy for performance had an effect on academic achievement. At this time, the type of programming language to be studied showed a moderating effect on learning achievement. Based on the results of this study, it is suggested that appropriate instruction is needed for each language used in programming lessons for software non-majors.

• IE interfaces
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• v.1 no.1
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• pp.17-26
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• 1988

This paper describes a nonlinear goal programming approach to the optimal composition of composite solid propellant taking multiple characteristics into consideration synchronously. The nonlinear goal programming model with response functions, restrictions and the optimal value of each characteristic is developed using Scheffe's "Experiments with mixtures" and preference weighting system. Objective functions are described based on process, performance and assurance characteristics. The systematic approach to optimal composition in this study is proved efficient through a CTPB-AL-AP propellant which is one of composite solid propellant systems.