• Title/Summary/Keyword: education algorithm

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Video Generation Algorithm for Remote Lecture Recording Tools (원격 강의용 콘텐츠 제작 도구를 위한 동영상 생성 알고리즘)

  • Kwon, Oh-Sung
    • Journal of The Korean Association of Information Education
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    • v.22 no.5
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    • pp.605-611
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    • 2018
  • On-Line Lectures are becoming more common due to the MOOK service and the expansion of national policy in Korea. Especially, It is being changed to new remote mixed style from traditional lecture in universities. We propose and implement a remote contents making tool with audio synchronization function based on more with less resources. To implement our proposed algorithm, we design an interactive interface to assign multiple cutting intervals and convert an input video to print a new result. In experimental, we can confirm our algorithm works properly with average performance value 9.3% cpu share ratio and 87mega byte ram usage(CPU 2.60GHz, 820*600 Area).

Energy-Efficiency Power Allocation for Cognitive Radio MIMO-OFDM Systems

  • Zuo, Jiakuo;Dao, Van Phuong;Bao, Yongqiang;Fang, Shiliang;Zhao, Li;Zou, Cairong
    • ETRI Journal
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    • v.36 no.4
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    • pp.686-689
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    • 2014
  • This paper studies energy-efficiency (EE) power allocation for cognitive radio MIMO-OFDM systems. Our aim is to minimize energy efficiency, measured by "Joule per bit" metric, while maintaining the minimal rate requirement of a secondary user under a total power constraint and mutual interference power constraints. However, since the formulated EE problem in this paper is non-convex, it is difficult to solve directly in general. To make it solvable, firstly we transform the original problem into an equivalent convex optimization problem via fractional programming. Then, the equivalent convex optimization problem is solved by a sequential quadratic programming algorithm. Finally, a new iterative energy-efficiency power allocation algorithm is presented. Numerical results show that the proposed method can obtain better EE performance than the maximizing capacity algorithm.

Q-Learning Policy Design to Speed Up Agent Training (에이전트 학습 속도 향상을 위한 Q-Learning 정책 설계)

  • Yong, Sung-jung;Park, Hyo-gyeong;You, Yeon-hwi;Moon, Il-young
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.219-224
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    • 2022
  • Q-Learning is a technique widely used as a basic algorithm for reinforcement learning. Q-Learning trains the agent in the direction of maximizing the reward through the greedy action that selects the largest value among the rewards of the actions that can be taken in the current state. In this paper, we studied a policy that can speed up agent training using Q-Learning in Frozen Lake 8×8 grid environment. In addition, the training results of the existing algorithm of Q-learning and the algorithm that gave the attribute 'direction' to agent movement were compared. As a result, it was analyzed that the Q-Learning policy proposed in this paper can significantly increase both the accuracy and training speed compared to the general algorithm.

An Algorithm Learning Program with Robot (로봇 활용 알고리즘 학습 프로그램)

  • Lee, YoungJun;Lee, EunKyoung
    • The Journal of Korean Association of Computer Education
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    • v.12 no.1
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    • pp.33-44
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    • 2009
  • In this study, we selected an educational robot as a suitable tool to support algorithm learning for middle school learners through comparative analysis of various tools. Educational robot can provide tangible experiences for abstract concepts of algorithms. Therefore, we developed an algorithm learning program with educational robots to enhance intrinsic motivation and creative problem solving ability for middle school learners. Also, we implemented the developed program in middle schools and analysed the educational effects of the program. We found that the algorithm learning program with robots was helpful in enhancing learners' intrinsic motivation about algorithm learning and creative problem solving potential. These findings may offer useful direction for designing teaching and learning program for algorithm education. These results can be used as a basis for study on designing and developing algorithm learning program.

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Cyber Education System Based on CRM (CRM 기반의 가상 교육 시스템)

  • Oh, Suk;Lee, Sun-Mi
    • Journal of The Korean Association of Information Education
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    • v.6 no.1
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    • pp.110-116
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    • 2002
  • This paper presents the cyber education system which aims to improve the effect of cyber education that remains limited by uniform educational course being provided to all students. In this respect, a cyber English educational program has been provided to all individual students in different levels through combining CRM with WBI. The paper has analyzed the academic interest of each learner in the process of education using the algorithm that this paper proposes. Here the CRM algorithm enables the study to categorize the degree of learners interest in the process of education and utilize this in cyber education. The frame of education program based on the students' interest which is introduced in the paper is expected to contribute as one of the cyber education strategies that will increase the learners' academic interest.

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Mobile Robot Navigation using Optimized Fuzzy Controller by Genetic Algorithm

  • Zhao, Ran;Lee, Dong Hwan;Lee, Hong Kyu
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.1
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    • pp.12-19
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    • 2015
  • In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly in the unknown multi-obstacle environment, this paper presented the navigation problem of a wheel mobile robot based on proximity sensors by fuzzy logic controller. Then a genetic algorithm was applied to optimize the membership function of input and output variables and the rule base of the fuzzy controller. Here the environment is unknown for the robot and contains various types of obstacles. The robot should detect the surrounding information by its own sensors only. For the special condition of path deadlock problem, a wall following method named angle compensation method was also developed here. The simulation results showed a good performance for navigation problem of mobile robots.

AN ALGORITHM FOR FINDING THE CORRELATION IMMUNE ORDER OF A BOOLEAN FUNCTION

  • Rhee, Min-Surp;Rhee, Hyun-Sook;Shin, Hyun-Yong
    • The Pure and Applied Mathematics
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    • v.6 no.2
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    • pp.79-86
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    • 1999
  • A Boolean function generates a binary sequence which is frequently used in a stream cipher. There are number of critical concepts which a Boolean function, as a key stream generator in a stream cipher, satisfies. These are nonlinearity, correlation immunity, balancedness, SAC (strictly avalanche criterion), PC (propagation criterion) and so on. In this paper we construct an algorithm for finding the correlation immune order of a Boolean function, and check how long to find the correlation immune order of a given Boolean function in our algorithm.

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A proposal to the construction of textbook contents of fraction division connected to problem context (문제 상황과 연결된 분수 나눗셈의 교과서 내용 구성 방안)

  • Shin, Joonsik
    • The Mathematical Education
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    • v.52 no.2
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    • pp.217-230
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    • 2013
  • This study attempts to propose the construction of textbook contents of fraction division and to suggest a method to strengthen the connection among problem context, manipulation activities and symbols by proposing an algorithm of dividing fractions based on problem contexts. As showing the suitable algorithm to problem context, it is able to understand meaningfully that the algorithm of fractions division is that of multiplication of a reciprocal. It also shows how to deal with remainder in the division of fractions. The results of this study are expected to make a meaningful contribution to textbook development for primary students.

A Background Subtraction Algorithm for Fence Monitoring Surveillance Systems (담장 감시 시스템을 위한 배경 제거 알고리즘)

  • Lee, Bok Ju;Chu, Yeon Ho;Choi, Young Kyu
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.3
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    • pp.37-43
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    • 2015
  • In this paper, a new background subtraction algorithm for video based fence monitoring surveillance systems is proposed. We adopt the sampling based background subtraction technique and focus on the two main issues: handling highly dynamic environment and handling the flickering nature of pulse based IR (infrared) lamp. Natural scenes from fence monitoring system are usually composed of several dynamic entities such as swaying trees, moving water, waves and rain. To deal with such dynamic backgrounds, we utilize the confidence factor for each background value of the input image. For the flickering IR lamp, the original sampling based technique is extended to handle double background models. Experimental results revealed that our method works well in real fence monitoring surveillance systems.

Program Development for Entrepreneurship Education (창업교육을 위한 프로그램 개발과제)

  • Choi, Jong-In;Yang, Young-Seok
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.7 no.1
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    • pp.125-134
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    • 2012
  • The concerns for entrepreneurship education has increased significantly in decades. Government asking to university to teach the entrepreneurship on the undergraduate and graduate level. Existing graduate-level entrepreneurship program is not enough for the reciprocal relationship among the subjects. This study review the university's entrepreneurship program in the domestic and abroad. We suggest the process and algorithm based education program which is The Technology Entrepreneurship and Commercialization.

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