• Title/Summary/Keyword: Internet based class

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UI4GSD: Design and Implementation of User Interface for Grid Service Development Based on Globus Toolkit 4 (UI4GSD: 글로버스 툴킷 4 기반 그리드 서비스 개발을 위한 사용자 인터페이스의 설계 및 구현)

  • Kim, Hyuk-Ho;Lee, Pil-Woo;Kim, Yang-Woo
    • Journal of Internet Computing and Services
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    • v.8 no.5
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    • pp.45-58
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    • 2007
  • This paper presents UI4GSD (User Interface for Grid Service Development) for grid service developers that provides an efficient and friendly development environment based on Globus Toolkit 4, Normally, implementing grid service requires special expert knowledge for Grid as well as programming, Moreover, grid service development as well as testing of the deployed service in the Globus container takes a long Time, which makes the grid service implementation very inefficient, However, UI4GSD can automatically generate a grid service interface file, a build file, and grid service class files as well as a client class file, using the information supplied by developers through GUI. In UI4GSD, a grid service is developed easily based on typical five step processes with required input data fed at each step. As, a result, UI4GSD can provide an easy and convenient development environment thereby increasing the efficiency and convenience in developing grid services.

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Multi-focus Image Fusion Technique Based on Parzen-windows Estimates (Parzen 윈도우 추정에 기반한 다중 초점 이미지 융합 기법)

  • Atole, Ronnel R.;Park, Daechul
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.4
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    • pp.75-88
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    • 2008
  • This paper presents a spatial-level nonparametric multi-focus image fusion technique based on kernel estimates of input image blocks' underlying class-conditional probability density functions. Image fusion is approached as a classification task whose posterior class probabilities, P($wi{\mid}Bikl$), are calculated with likelihood density functions that are estimated from the training patterns. For each of the C input images Ii, the proposed method defines i classes wi and forms the fused image Z(k,l) from a decision map represented by a set of $P{\times}Q$ blocks Bikl whose features maximize the discriminant function based on the Bayesian decision principle. Performance of the proposed technique is evaluated in terms of RMSE and Mutual Information (MI) as the output quality measures. The width of the kernel functions, ${\sigma}$, were made to vary, and different kernels and block sizes were applied in performance evaluation. The proposed scheme is tested with C=2 and C=3 input images and results exhibited good performance.

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Cancellation Scheme of impusive Noise based on Deep Learning in Power Line Communication System (딥러닝 기반 전력선 통신 시스템의 임펄시브 잡음 제거 기법)

  • Seo, Sung-Il
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.29-33
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    • 2022
  • In this paper, we propose the deep learning based pre interference cancellation scheme algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information by applying a deep learning model at the transmitter. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

Teaching a Database Course with Collaborative Team Projects

  • Park, Jae-Hwa
    • The Journal of Information Technology and Database
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    • v.4 no.1
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    • pp.65-77
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    • 1997
  • This paper describes and effective teaching approach to an undergraduate database course. This research draws on practical experience based on the hands-on practice approach which leads students to develop a database application utilizing various tools. Students not only learn concepts, methodologies and tools of database technology in class and through online multimedia learning aids, but also practice how to integrate them through collaborative team projects. The course employs collaborative learning approach and multimedia and internet technologies. Students are encouraged to work collaboratively on assignments and projects and to learn independently through online multimedia learning aids.

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UML Extension for Object-Relational Database Design - Focusing on Oracle11g - (객체-관계형 데이터베이스 설계를 위한 UML 확장 - Oracle11g를 중심으로 -)

  • Joo, Kyung-Soo;Jho, Do-Hyung
    • Journal of Internet Computing and Services
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    • v.12 no.6
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    • pp.149-159
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    • 2011
  • The current applications can be characterized as consisting of complex objects related by complex relationship. Therefore the relational database has been extended to object-relational database because of the complex objects. Accordingly, we need database design methodology for object-relational database. In this pager, we develop an integrated design methodology based on a extended UML class diagram for object-relational database. We make the extend UML class diagram by adding new stereotypes for object-relational database. Also we propose a guideline for transforming the extended UML class diagram to object-relational database schema. We use SQL:1999 as a object-relational data model and Oracle11g as a target object-relational database. We can build more easily and efficiently object-relational database for Oracle11g by using our methodology. Finally we applied our methodology on a computer classroom reservation system for evaluation the methodology.

Application of Discrete Wavelet Transforms to Identify Unknown Attacks in Anomaly Detection Analysis (이상 탐지 분석에서 알려지지 않는 공격을 식별하기 위한 이산 웨이블릿 변환 적용 연구)

  • Kim, Dong-Wook;Shin, Gun-Yoon;Yun, Ji-Young;Kim, Sang-Soo;Han, Myung-Mook
    • Journal of Internet Computing and Services
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    • v.22 no.3
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    • pp.45-52
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    • 2021
  • Although many studies have been conducted to identify unknown attacks in cyber security intrusion detection systems, studies based on outliers are attracting attention. Accordingly, we identify outliers by defining categories for unknown attacks. The unknown attacks were investigated in two categories: first, there are factors that generate variant attacks, and second, studies that classify them into new types. We have conducted outlier studies that can identify similar data, such as variants, in the category of studies that generate variant attacks. The big problem of identifying anomalies in the intrusion detection system is that normal and aggressive behavior share the same space. For this, we applied a technique that can be divided into clear types for normal and attack by discrete wavelet transformation and detected anomalies. As a result, we confirmed that the outliers can be identified through One-Class SVM in the data reconstructed by discrete wavelet transform.

Characteristics and Methods of Bandwidth Allocation According to Flow Features for QoS Control on Flow-Aware Network (Flow-Aware Network에서 QoS제어를 위해 Flow 특성에 따른 대역할당 방법과 특성)

  • Kim, Jae-Hong;Han, Chi-Moon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.9
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    • pp.39-48
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    • 2008
  • Recently, many multimedia services have emerged in Internet such as real-time and non- real time services. However, in this Internet environment, we have some limitations to satisfy each service feature. To guarantee the service features in Measurement-Based Admission Control(MBAC) based system on the flow-aware network, there is the method applying Dynamic Priority Scheduling(DPS) algorithm that gives a higher priority to an earlier incoming flow in all of the link bandwidth. This paper classifies all flows under several groups according to flow characteristics on per-flow MBAC algorithm based system. In each flow group, DPS algorithm is applied. This paper proposes two methods that are a DPS based bandwidth borrowing method and a bandwidth dynamic allocation method. The former is that if low priority class has available bandwidths, the flow of high priority class borrows the bandwidth of low priority class when high priority flow has insufficient bandwidth to connect a flow call. The later is that the each group has a minimum bandwidth and is allocated the bandwidth dynamically according to the excess rate for available bandwidth. We compare and analyze the characteristics of the two proposed methods through the simulation experiments. As the results of the experiment, the proposed methods are more effective than existing DPS based method on the packet loss and delay characteristics. Consequently the proposed two methods are very useful in various multimedia network environments.

A Study on Composition Model Design and Testing for EJB Design Pattern Based Bean Class (EJB Design Pattern 기반의 Bean Class 조립에 대한 모델 설계 및 Testing 에 관한 연구)

  • 신재준;이돈양;송영재
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1605-1608
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    • 2003
  • Today, E-Business develop because, Internet diffuse rapidly. Variety function and excellence performance needs for changeable user's requirement. So, EJB comes Component's addition and modify. For Component adds Function, Existing System modifies all of the source code. In EJB Component System, but, modifies simple source code. But, Today's System don't have cleary way that assembly component and design system. This Paper used design pattern for maintain of the component. this paper describes EJB Design Pattern using Abstract Factory Pattern. And EJB Component that used Pattern, decribes advantage and disavantage.

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Educational Satisfaction in the Cyber Space

  • Yum, Ji-Hwan;Park, Byoung-Jin
    • 한국디지털정책학회:학술대회논문집
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    • 2005.11a
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    • pp.553-565
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    • 2005
  • The new paradigm of education in the cyber space is not limited by time or locations. The students do not need to attend classroom physically and simultaneously. This study tries to probe the relationships among demographic variables and instructional variables with students' satisfaction with the management class in a cyber university. The results demonstrate that demographic variables are not significantly related with students' satisfaction. Rather instructional variables such as personal interactions with professors, job related contents and careful reduction of difficulties countered during the class proceeding are more significantly related with learning satisfaction. The result shows the newly emerged internet based education system requires in-depth cooperation among professors, system engineers, education instrument designers, and students.

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Management Education in the Cyber Space

  • Yum, Ji-Hwan;Park, Byoung-Jin
    • 한국디지털정책학회:학술대회논문집
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    • 2003.12a
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    • pp.585-598
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    • 2003
  • The new way of doing education in the cyber space is not limited by time or locations. The students do not need to attend classroom physically and simultaneously. This study tries to probe the relationships among demographic variables and instructional variables with students' satisfaction with the management class in a cyber university. The results demonstrate that demographic variables are not significantly related with students' satisfaction. Rather instructional variables such as personal interactions with professors, job related contents and careful reduction of difficulties countered during the class proceeding are more significantly related with learning satisfaction. The result shows the newly emerged internet based education system requires in-depth cooperation among professors, system engineers, education instrument designers, and students.

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