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Development and Application of a Turtle Ship Model Based on Physical Computing Platform for Students of Industrial Specialized High School (공업계 특성화고 학생을 위한 피지컬 컴퓨팅 플랫폼 기반의 모형 거북선 개발 및 적용)

  • Kim, Won-Woong;Choi, Jun-Seop
    • 대한공업교육학회지
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    • v.41 no.2
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    • pp.89-118
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    • 2016
  • In this study, the model of Turtle Ship, which is evaluated as one of the world's first ironclad ship in battle as well as the traditional scientific and technological heritage in Korea, was combined with the Physical Computing Platform(Arduino and App Inventor) that enables students to learn the basic concepts of IT in an easy and fun way. Thus, this study contrived the Physical Computing Platform-based Turtle Ship model which will make the students of Industrial Specialized High School develop the technological literacy and humanities-based knowledge through flexible education out of stereotype and single subject as well as enhance the potential of creative convergence education. The following is a summary of the main results obtained through this study: First, Arduino-based Main-controller design and making is helpful to learn of the hardware and software knowledge about EEC(Electron Electronics Control) and to confirm the basic characteristics and performance of interaction of Arduino and actuators. Second, The fundamental Instructional environments of abilities such as implementing EEC systems, thinking logically, and problem-solving skills were provided by designing of pattern diagram, designing an actuator circuit and making, the creation of sketches as technical programming and developing of mobile app. Thirdly, This is physical computing platform based Turtle ship model that will enable students to bring up their technological literacy and interest in the cultural heritage.

Methods for Stabilizing QoS in Mobile Cloud Computing (모바일 클라우드 컴퓨팅을 위한 QoS 안정화 기법)

  • La, Hyun Jung;Kim, Soo Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.8
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    • pp.507-516
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    • 2013
  • Mobile devices have limited computing power and resources. Since mobile devices are equipped with rich network connectivity, an approach to subscribe cloud services can effectively remedy the problem, which is called Mobile Cloud Computing (MCC). Most works on MCC depend on a method to offload functional components at runtime. However, these works only consider the limited verion of offloading to a pre-defined, designated node. Moveover, there is the limitation of managing services subscribed by applications. To provide a comprehensive and practical solution for MCC, in this paper, we propose a self-stabilizing process and its management-related methods. The proposed process is based on an autonomic computing paradigm and works with diverse quality remedy actions such as migration or replicating services. And, we devise a pratical offloading mechanism which is still in an initial stage of the study. The proposed offloading mechanism is based on our proposed MCC meta-model. By adopting the self-stabilization process for MCC, many of the technical issues are effectively resolved, and mobile cloud environments can maintain consistent levels of quality in autonomous manner.

Development of Automated 3D Modeling System to Construct BIM for Railway Bridge (철도 교량의 BIM 구축을 위한 3차원 모델 생성 자동화 시스템 개발)

  • Lee, Heon-Min;Kim, Hyun-Seung;Lee, Il-Soo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.5
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    • pp.267-274
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    • 2018
  • For successful BIM settlement, it is a key technic for engineer to design structures in the 3-dimensional digital space and to work out related design documents directly. Lately many BIM tool has been released and each supports their 3-dimensional object libraries. But it is not easy to apply those libraries to design transportation infra structures that were placed along the route(3-dimensional line). Moreover, in case of design changes, it is so difficult to reflect those changes with the integrated model that was assembled by them. Because of they were developed without consideration for redundancy of parameters between objects that were placed nearby or were related each other. In this paper, a method to develop module for modeling and placing 3-dimensional object for transportation infra structures is presented. The modules are employed by a parametric method and can deal with design changes. Also, for a railroad bridge, through developing user interface of the integrated 3-dimensional model that was assembled by those modules the applicability of them was reviewed.

Active-Active Message Replica Scheme for Enhancing Performance of Distributed Message Broker (분산 브로커의 가용성 향상을 위한 메시지 레플리카 액티브-액티브 구조 기법)

  • Seo, Kyeonghee;Yeo, Sangho;Oh, Sangyoon
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.6
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    • pp.145-154
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    • 2018
  • A loosely coupled message broker system is a popular method for integrating distributed software components. Especially, a distributed broker structure with multiple brokers with active-standby or active-active message replicas are used to enhance availability as well as message processing performance. However, there are problems in both active-standby and active-active replica structure. The active-standby has relatively low processing performance and The active-active structure requires a high synchronization overhead. In this paper, we propose an active-active structure of replicas to increase the availability of the brokers without compromising its high fault-tolerancy. In the proposed structure, standby replicas process the requests of the active replicas so that load balancing is achieved without additional brokers, while the distributed coordinators are used for the synchronization process to decrease the overhead. We formulated the overhead incurred when synchronizing messages among replicas, and the formulation was used to support the experiment results. From the experiment, we observed that replicas of the active-active structure show better performance than the active stand-by structure with increasing number of users.

Mobile Cloud Context-Awareness System based on Jess Inference and Semantic Web RL for Inference Cost Decline (추론 비용 감소를 위한 Jess 추론과 시멘틱 웹 RL기반의 모바일 클라우드 상황인식 시스템)

  • Jung, Se-Hoon;Sim, Chun-Bo
    • KIPS Transactions on Software and Data Engineering
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    • v.1 no.1
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    • pp.19-30
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    • 2012
  • The context aware service is the service to provide useful information to the users by recognizing surroundings around people who receive the service via computer based on computing and communication, and by conducting self-decision. But CAS(Context Awareness System) shows the weak point of small-scale context awareness processing capacity due to restricted mobile function under the current mobile environment, memory space, and inference cost increment. In this paper, we propose a mobile cloud context system with using Google App Engine based on PaaS(Platform as a Service) in order to get context service in various mobile devices without any subordination to any specific platform. Inference design method of the proposed system makes use of knowledge-based framework with semantic inference that is presented by SWRL rule and OWL ontology and Jess with rule-based inference engine. As well as, it is intended to shorten the context service reasoning time with mapping the regular reasoning of SWRL to Jess reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JessTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.

Automated Scoring System for Korean Short-Answer Questions Using Predictability and Unanimity (기계학습 분류기의 예측확률과 만장일치를 이용한 한국어 서답형 문항 자동채점 시스템)

  • Cheon, Min-Ah;Kim, Chang-Hyun;Kim, Jae-Hoon;Noh, Eun-Hee;Sung, Kyung-Hee;Song, Mi-Young
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.527-534
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    • 2016
  • The emergent information society requires the talent for creative thinking based on problem-solving skills and comprehensive thinking rather than simple memorization. Therefore, the Korean curriculum has also changed into the direction of the creative thinking through increasing short-answer questions that can determine the overall thinking of the students. However, their scoring results are a little bit inconsistency because scoring short-answer questions depends on the subjective scoring of human raters. In order to alleviate this point, an automated scoring system using a machine learning has been used as a scoring tool in overseas. Linguistically, Korean and English is totally different in the structure of the sentences. Thus, the automated scoring system used in English cannot be applied to Korean. In this paper, we introduce an automated scoring system for Korean short-answer questions using predictability and unanimity. We also verify the practicality of the automatic scoring system through the correlation coefficient between the results of the automated scoring system and those of human raters. In the experiment of this paper, the proposed system is evaluated for constructed-response items of Korean language, social studies, and science in the National Assessment of Educational Achievement. The analysis was used Pearson correlation coefficients and Kappa coefficient. Results of the experiment had showed a strong positive correlation with all the correlation coefficients at 0.7 or higher. Thus, the scoring results of the proposed scoring system are similar to those of human raters. Therefore, the automated scoring system should be found to be useful as a scoring tool.

An Automated Approach to Determining System's Problem based on Self-healing (자가치유 기법을 기반한 시스템 문제결정 자동화 방법론)

  • Park, Jeong-Min;Jung, Jin-Soo;Lee, Eun-Seok
    • The KIPS Transactions:PartD
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    • v.15D no.2
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    • pp.271-284
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    • 2008
  • Self-healing is an approach to evaluating constraints defined in target system and to applying an appropriate strategy when violating he constrains. Today, the computing environment is very complex, so researches that endow a system with the self-healing's ability that recognizes problem arising in a target system are being an important issues. However, most of the existing researches are that self-healing developers need much effort and time to analyze and model constraints. Thus, this paper proposes an automated approach to determine problem arising in external and internal system environment. The approach proposes: 1) Specifying the target system through the models created in design phase of target system. 2) Automatically creating constraints for external and internal system environment, by using the specified contents. 3) Deriving a dependency model of a component based on the created internal state rule. 4) Translating the constraints and dependency model into code evaluating behaviors of the target system, and determinating problem level. 5) Monitoring an internal and external status of system based on the level of problem determination, and applying self-healing strategy when detecting abnormal state caused in the target system. Through these, we can reduce the efforts of self-healing developers to analyze target system, and heal rapidly not only abnormal behavior of target system regarding external and internal problem, but also failure such as system break down into normal state. To evaluate the proposed approach, through video conference system, we verify an effectiveness of our approach by comparing proposed approach's self-healing activities with those of the existing approach.

The Effect of the Integrative Education Using a 3D Printer on the Computational Thinking Ability of Elementary School Students (3D프린터를 활용한 융합교육이 초등학생의 컴퓨팅 사고력에 미치는 영향)

  • Lim, Donghun;Kim, Taeyoung
    • Journal of The Korean Association of Information Education
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    • v.23 no.5
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    • pp.469-480
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    • 2019
  • One of the goals of the new 2015 revised curriculum is to cultivate the creativity of students who will live in the era of the Fourth Industrial Revolution to create new things through diverse ideas and challenges based on basic learning skills. Accordingly, in order to solve the given problems rationally, the convergence problem solving ability that can process and utilize various areas of knowledge and information is becoming important. Therefore, in this study, we designed the integrative education using a 3D printer based on Tinkercad modeling and applied it to the class to investigate the effect on the improvement of computing thinking ability of elementary school students. To verify the contents of the study, two classes of 25 sixth-grade elementary school students were divided into an experimental group and a controlled group. For the experimental group, 12 classes of convergence education programs using a 3D printer were applied for about three months, and the same amount of general curriculum was conducted for the control group. After that, the t-tests were carried out using the pre-post test to measure the effectiveness of the computational thinking ability. After the application of the program, the experimental group showed statistically significant improvement in computational thinking ability, but the controlled group showed no statistically significant difference. The results show that convergence education using the Tinkercad modeling-based 3D printer has a positive effect on the improvement of computing thinking ability of elementary school students.

Prediction of water level in a tidal river using a deep-learning based LSTM model (딥러닝 기반 LSTM 모형을 이용한 감조하천 수위 예측)

  • Jung, Sungho;Cho, Hyoseob;Kim, Jeongyup;Lee, Giha
    • Journal of Korea Water Resources Association
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    • v.51 no.12
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    • pp.1207-1216
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    • 2018
  • Discharge or water level predictions at tidally affected river reaches are currently still a great challenge in hydrological practices. This research aims to predict water level of the tide dominated site, Jamsu bridge in the Han River downstream. Physics-based hydrodynamic approaches are sometimes not applicable for water level prediction in such a tidal river due to uncertainty sources like rainfall forecasting data. In this study, TensorFlow deep learning framework was used to build a deep neural network based LSTM model and its applications. The LSTM model was trained based on 3 data sets having 10-min temporal resolution: Paldang dam release, Jamsu bridge water level, predicted tidal level for 6 years (2011~2016) and then predict the water level time series given the six lead times: 1, 3, 6, 9, 12, 24 hours. The optimal hyper-parameters of LSTM model were set up as follows: 6 hidden layers number, 0.01 learning rate, 3000 iterations. In addition, we changed the key parameter of LSTM model, sequence length, ranging from 1 to 6 hours to test its affect to prediction results. The LSTM model with the 1 hr sequence length led to the best performing prediction results for the all cases. In particular, it resulted in very accurate prediction: RMSE (0.065 cm) and NSE (0.99) for the 1 hr lead time prediction case. However, as the lead time became longer, the RMSE increased from 0.08 m (1 hr lead time) to 0.28 m (24 hrs lead time) and the NSE decreased from 0.99 (1 hr lead time) to 0.74 (24 hrs lead time), respectively.

Connectivity Assessment Based on Circuit Theory for Suggestion of Ecological Corridor (생태축 제안을 위한 회로 이론 기초 연결성 평가)

  • Yoon, Eun-Joo;Kim, Eun-Young;Kim, Ji-Yeon;Lee, Dong Kun
    • Journal of Environmental Impact Assessment
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    • v.28 no.3
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    • pp.275-286
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    • 2019
  • In order to prevent local extinction of organisms and to preserve biodiversity, it is important to ensure connectivity between habitats. Even if the habitat is exposed to various disturbance factors, it is possible to avoid or respond to disturbances if they are linked to other habitats. Habitat connectivity can be assessed from a variety of perspectives, but the importance of functional connectivity based on species movement has been emphasized in recent years due to the development of computational capabilities and related software. Among them, Circuitscape, which is a connectivity evaluation tool, has an advantage it can provide detailed reference data for the city planning because it maps ecological flows on individual grid based on circuit theory. Therefore, in this study, the functional connectivity of Suwon was evaluated by applying Circuitscape and then, the ecological corridor to be conserved and supplemented was suggested based on it. The results of this study are expected to effectively complement the methodology related ecological corridor/axis, which was previously provided only in the form of a diagram, and to be effective in management of development project and urban planning.