• Title/Summary/Keyword: pre-logic

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Analysis of error data generated by prospective teachers in programming learning (예비교사들이 프로그래밍 학습 시 발생시키는 오류 데이터 분석)

  • Moon, Wae-shik
    • Journal of The Korean Association of Information Education
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    • v.22 no.2
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    • pp.205-212
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    • 2018
  • As a way to improve the software education ability of the pre - service teachers, we conducted programming learning using two types of programming tools (Python and Scratch) at the regular course time. In programming learning, various types of errors, which are factors that continuously hinder interest, achievement and creativity, were collected and analyzed by type. By using the analyzed data, it is possible to improve the ability of pre-service teachers to cope with the errors that can occur in the software education to be taught in the elementary school, and to improve the learning effect. In this study, logic error (37.63%) was the most frequent type that caused the most errors in programming in both conventional language that input text and language that assembles block. In addition, the detailed errors that show a lot of differences in the two languages are the errors of Python (14.3%) and scratch (3.5%) due to insufficient use of grammar and other errors.

A 6b 1.2 GS/s 47.8 mW 0.17 mm2 65 nm CMOS ADC for High-Rate WPAN Systems

  • Park, Hye-Lim;Kwon, Yi-Gi;Choi, Min-Ho;Kim, Young-Lok;Lee, Seung-Hoon;Jeon, Young-Deuk;Kwon, Jong-Kee
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.2
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    • pp.95-103
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    • 2011
  • This paper proposes a 6b 1.2 GS/s 47.8 mW 0.17 $mm^2$ 65 nm CMOS ADC for high-rate wireless personal area network systems. The proposed ADC employs a source follower-free flash architecture with a wide input range of 1.0 $V_{p-p}$ at a 1.2 V supply voltage to minimize power consumption and high comparator offset effects in a nanometer CMOS technology. The track-and-hold circuits without source followers, the differential difference amplifiers with active loads in pre-amps, and the output averaging layout scheme properly handle a wide-range input signal with low distortion. The interpolation scheme halves the required number of pre-amps while three-stage cascaded latches implement a skew-free GS/s operation. The two-step bubble correction logic removes a maximum of three consecutive bubble code errors. The prototype ADC in a 65 nm CMOS demonstrates a measured DNL and INL within 0.77 LSB and 0.98 LSB, respectively. The ADC shows a maximum SNDR of 33.2 dB and a maximum SFDR of 44.7 dB at 1.2 GS/s. The ADC with an active die area of 0.17 $mm^2$ consumes 47.8 mW at 1.2 V and 1.2 GS/s.

Effect of search algorithm execution time analysis education on logical thinking of elementary school student (파이썬을 활용한 탐색 알고리즘 수행시간 분석이 초등학생의 논리성에 미치는 효과)

  • Yang, Yunghoon;Kong, Gipyo;Kim, Jonghoon
    • Journal of The Korean Association of Information Education
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    • v.23 no.2
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    • pp.179-188
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    • 2019
  • The purpose of this study is to develop a Python search algorithm educational program based on execution time to improve the logical thinking of elementary school students. This educational program was developed based on the process of ADDIE model, utilizing the results of pre-demand analysis conducted for 133students in elementary school in ${\bigcirc}{\bigcirc}$. In order to verify the effectiveness of the developed education program, 25 students who participated in the education donation program at ${\bigcirc}{\bigcirc}$ University conducted 42 hours of classes during 6 days. The GALT test was used to analyze the educational effects of the pre- and post-test. The results of the analysis show that the SW education program developed in this study can positively affect the logic of elementary school students.

A Case Study on the Development of a Task with Emphasis on Mathematical Connectivity in Pre-Teacher Education (예비교사교육에서 수학적 연결성을 강조한 과제 개발 사례연구)

  • Kang, Hyangim
    • Communications of Mathematical Education
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    • v.33 no.2
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    • pp.85-104
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    • 2019
  • The purpose of this study is to analyze the tasks developed through task development activities with emphasis on mathematical connectivity, and to provide implications for teacher education to enhance teacher's competence. For this purpose, I analyzed the task developed by 52 pre-teachers through the activities. As a result, they combined mathematics with 'other subjects', 'mathematics', 'phenomenon', 'technology' and 'real life'. And they also made various internal connections of 'Different representation', 'Part-whole relationship', 'Implication', 'Procedure', and 'Instruction-oriented connection'. From the point of view of teacher knowledge, the study revealed that CCK and SCK were positive in terms of 'logical' and 'expression', and KCT as 'strategic' was meaningful but disappointing in diversity; however in terms of 'level', the KCS was limited due to tasks that did not meet the level of students. As such, this analysis reveals that teachers continue to struggle with understanding students' level, but exhibit little difficulty with 'logic', 'expression' and 'strategy. This being the case, teacher education needs to place additional emphasis in understanding students' levels and planning corresponding activities.

A study on the in-service teacher's recognition and fallacy for irrational exponent (무리지수에 대한 교사들의 인식과 오류)

  • Lee, Heon Soo;Kim, Young Cheol;Park, Yeong Yong
    • Journal of the Korean School Mathematics Society
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    • v.16 no.3
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    • pp.583-600
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    • 2013
  • In this paper, we study the recognition and fallacy of would-be in-service teachers about numbers with irrational exponent. We chose 51 secondary school teachers who are teaching mathematics in K metropolitan city and investigate their recognition and fallacy about the cases of irrational exponents of a positive rational and irrational exponents of a positive irrational number at the expansion of exponential law. We found following facts. First, in-service teacher's a percentage of correct answers differ depending on the type of numbers with irrational exponent. Second, in-service teachers decide their answer depending on intuition rather than logic. Third, in-service teachers decide their answer depending on exponential rather than base.

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A study on the characteristics of unfolding in comtemporary architecture space from Monadological perspective - Based on the unfolding in the concept of Fold - (모나드론 관점에서 본 현대건축공간에 나타나는 펼침의 특성에 관한 연구 - 주름 개념에서 펼침의 관점을 중심으로 -)

  • Jung, Won-Wook;Kim, Kai-Chun
    • Korean Institute of Interior Design Journal
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    • v.21 no.4
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    • pp.68-76
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    • 2012
  • Contemporary architecture has a tendency to concretely approach based on the concept of Deuleuze's 'fold' diversity problems creating continuously potential diversities within Post-structural paradigm. Contemporary architecture relates to human life through its relation with human being. The research investigates through case study the possible relation of the concept of Deulezue's 'fold', one of his concepts of 'unfolding' based on Monadology, with logic of creation that constructs a space in contemporary architectural space. Eight contemporary architectural spaces since 1990 with architectural embodiment of Deulezue's 'fold' concept have been selected as cases. Based on the fact that the potential possibility of a space can be embodied by the thinking of 'fold', the research draws four physical activities such as 'properties connection', 'beyond border', 'diversity of circulation' and 'potential opportunity', through which it studies on the principle of actualization of space creation. Consideration of metaphysical theory as a pre-modern and outdated one may lose a huge potentiality. Leibniz's metaphysics can be rediscovered as a model that provides diverse potentiality. The concept of 'fold' in Monadology needs be reconsidered because it possibly suggests a methodology that embodies through the actualization of space the meanings underlain in contemporary architectural space.

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Implementation of Smart Traffic Safety Systems using Fuzzy Theory

  • Han, Chang Pyoung;Hong, You Sik
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.71-82
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    • 2020
  • Traffic accidents due to excessive speed frequently occur in places where traffic signal controllers are installed, places where sharp curves exist, or places where the traffic signal cycle does not match the current time. These traffic accidents cause economic loss due to the destruction of road facilities and structures, and cause a big problem of increasing the number of traffic accident deaths. When a traffic accident occurs, leaving a tire mark before or after a car crash, pre-collision speed of the car is calculated using the law of conservation of momentum or the skid mark formula. In the skip skid mark generated in ABS brake vehicles and the combshaped yaw mark generated by tire trace caused by lateral sliding, there is a difference of 30-40% in the reliability of the vehicle speed calculated by the smite mark. In this paper, we propose an algorithm that can improve the calculation reliability in vehicle speed by using skid marks in order to compensate for this problem. In addition, we present an intelligent speed calculation algorithm for traffic safety and a computer simulation in order to prevent traffic accidents by estimating the speed of a vehicle, using Skid marks, Yaw marks, and ABS brake characteristics and fuzzy rules.

Integrated GUI Environment of Parallel Fuzzy Inference System for Pattern Classification of Remote Sensing Images

  • Lee, Seong-Hoon;Lee, Sang-Gu;Son, Ki-Sung;Kim, Jong-Hyuk;Lee, Byung-Kwon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.2
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    • pp.133-138
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    • 2002
  • In this paper, we propose an integrated GUI environment of parallel fuzzy inference system fur pattern classification of remote sensing data. In this, as 4 fuzzy variables in condition part and 104 fuzzy rules are used, a real time and parallel approach is required. For frost fuzzy computation, we use the scan line conversion algorithm to convert lines of each fuzzy linguistic term to the closest integer pixels. We design 4 fuzzy processor unit to be operated in parallel by using FPGA. As a GUI environment, PCI transmission, image data pre-processing, integer pixel mapping and fuzzy membership tuning are considered. This system can be used in a pattern classification system requiring a rapid inference time in a real-time.

DEVELOPMENT OF A MACHINE VISION SYSTEM FOR AN AUTOMOBILE PLASTIC PART INSPECTION

  • ANDRES N.S.;MARIMUTHU R.P.;EOM Y.K.;JANG B.C.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1131-1135
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    • 2005
  • Since human is vulnerable to emotional, physical and environmental distractions, most human inspectors cannot sustain a consistent 8-hour inspection in a day specifically for small components like door locking levers. As an alternative for human inspection, presented in this study is the development of a machine vision inspection system (MVIS) purposely for door locking levers. Comprises the development is the structure of the MVIS components, designed to meet the demands, features and specifications of door locking lever manufacturing companies in increasing their production throughput upon keeping the quality assured. This computer-based MVIS is designed to perform quality measures of detecting missing portions and defects like burr on every door locking lever. NI Vision Builder software for Automatic Inspection (AI) is found to be the optimum solution in configuring the needed quality measures. The proposed software has measurement techniques such as edge detecting and pattern-matching which are capable of gauging, detecting missing portion and checking alignment. Furthermore, this study exemplifies the incorporation of the optimized NI Builder inspection environment to the pre-inspection and post-inspection subsystems.

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A neural network approach to defect classification on printed circuit boards (인쇄 회로 기판의 결함 검출 및 인식 알고리즘)

  • An, Sang-Seop;No, Byeong-Ok;Yu, Yeong-Gi;Jo, Hyeong-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.4
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    • pp.337-343
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    • 1996
  • In this paper, we investigate the defect detection by making use of pre-made reference image data and classify the defects by using the artificial neural network. The approach is composed of three main parts. The first step consists of a proper generation of two reference image data by using a low level morphological technique. The second step proceeds by performing three times logical bit operations between two ready-made reference images and just captured image to be tested. This results in defects image only. In the third step, by extracting four features from each detected defect, followed by assigning them into the input nodes of an already trained artificial neural network we can obtain a defect class corresponding to the features. All of the image data are formed in a bit level for the reduction of data size as well as time saving. Experimental results show that proposed algorithms are found to be effective for flexible defect detection, robust classification, and high speed process by adopting a simple logic operation.

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