• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1467-1474
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• 2014

In this paper, we consider the two computer intensive methods for extended Euclidean algdrithm. Two methods we propose are C-programming based approach and Microsoft excel based method, respectively. Thses methods are applied to the derivation of greatest commnon devisor, multiplicative inverse for modular operation and the solution of diophantine equation. Concrete investigation for extended Euclidean algorithm with the computer intensive process is given. For the application of extended Euclidean algorithm, we consider the RSA encrytion method which is still popular recently.

• Industrial Engineering and Management Systems
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• v.11 no.3
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• pp.255-265
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• 2012

Environments surrounding production sites have changed greatly in recent years. Accommodating environmental changes calls for the design and development of information systems that center on production lines. There is a need for a training program that teaches learners to understand the particulars of an operation and apply that knowledge to an information system. In this research, we used material requirements planning (MRP) as the subject for which basic skills are to be taught and developed an MRP exercise-based training program. The program is designed for 13 lectures of 90 minutes each, and it consists of MRP exercises, modeling methods to represent them, the use of a programming language for system development, and finally, evaluation of the exercises. Lecture materials are described in 505 lecture slides using Microsoft PowerPoint to allow visualization of topics through graphs and models. The developed training program was then delivered to 86 college students, and its results were measured through quizzes to verify educational effectiveness.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2540-2542
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• 2003

This paper presents an internet-based self-learning educational system which can be enhancing efficiency in the learning process of Java language. The proposed self-learning educational system is called Java Web Player(JWP), which is a Java application program and is executable through Java Web Start technologies. In this paper, three important sequential learning processes : concept learning process, programming practice process and assessment process are integrated in the proposed JWP using Java Web Start technologies. This JWP enables the learners to achieve efficient and interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of educational technologies. Also, online voice presentation and its related texts together with moving images are synchronized for efficient language learning process. Furthermore, a simple/useful compiler is included in the JWP for providing language practice environment such as coding, editing, executing and debugging Java source files. Finally repeated practice can make the learners to understand easily the key concepts of Java language. Simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3117-3132
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• 2012

The tree topology in multicast systems has high transmission efficiency, low latency, but poor resilience to node failures. In our work, some nodes are selected as backbone nodes to construct a tree-like core overlay. Backbone nodes are reliable enough and have strong upload capacity as well, which is helpful to overcome the shortcomings of tree topology. The core overlay is organized into a spanning tree while the whole overlay is of mesh-like topology. This paper focuses on improving the performance of the application-layer multicast overlay by optimizing the core overlay which is periodically adjusted with the proposed optimization algorithm. Our approach is to construct the overlay tree based on the out-degree weighted reliability where the reliability of a node is weighted by its upload bandwidth (out-degree). There is no illegal solution during the evolution which ensures the evolution efficiency. Simulation results show that the proposed approach greatly enhances the reliability of the tree-like core overlay systems and achieves shorter delay simultaneously. Its reliability performance is better than the reliability-first algorithm and its delay is very close to that of the degree-first algorithm. The complexity of the proposed algorithm is acceptable for application. Therefore the proposed approach is efficient for the topology optimization of a real multicast overlay.

• ETRI Journal
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• v.43 no.5
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• pp.825-834
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• 2021

Based on its simplicity and user-friendly characteristics, OpenMP has become the standard model for programming on shared-memory architectures. Checkpointing-aided parallel execution (CAPE) is an approach that utilizes the discontinuous incremental checkpointing technique (DICKPT) to translate and execute OpenMP programs on distributed-memory architectures automatically. Currently, CAPE implements the OpenMP execution model by utilizing the DICKPT to distribute parallel jobs and their data to slave machines, and then collects the results after executing these distributed jobs. Although this model has been proven to be effective in terms of performance and compatibility with OpenMP on distributed-memory systems, it cannot fully exploit the capabilities of multicore processors. This paper presents a novel execution model for CAPE that utilizes two levels of parallelism. In the proposed model, we add another level of parallelism in the form of multithreaded processes on slave machines with the goal of better exploiting their multicore CPUs. Initial experimental results presented near the end of this paper demonstrate that this model provides significantly enhanced CAPE performance.

• Imaging Science in Dentistry
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• v.52 no.2
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• pp.187-195
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• 2022

Purpose: This study developed a convolutional neural network (CNN) model to diagnose maxillary sinusitis on panoramic radiographs(PRs) and cone-beam computed tomographic (CBCT) images and evaluated its performance. Materials and Methods: A CNN model, which is an artificial intelligence method, was utilized. The model was trained and tested by applying 5-fold cross-validation to a dataset of 148 healthy and 148 inflamed sinus images. The CNN model was implemented using the PyTorch library of the Python programming language. A receiver operating characteristic curve was plotted, and the area under the curve, accuracy, sensitivity, specificity, positive predictive value, and negative predictive values for both imaging techniques were calculated to evaluate the model. Results: The average accuracy, sensitivity, and specificity of the model in diagnosing sinusitis from PRs were 75.7%, 75.7%, and 75.7%, respectively. The accuracy, sensitivity, and specificity of the deep-learning system in diagnosing sinusitis from CBCT images were 99.7%, 100%, and 99.3%, respectively. Conclusion: The diagnostic performance of the CNN for maxillary sinusitis from PRs was moderately high, whereas it was clearly higher with CBCT images. Three-dimensional images are accepted as the "gold standard" for diagnosis; therefore, this was not an unexpected result. Based on these results, deep-learning systems could be used as an effective guide in assisting with diagnoses, especially for less experienced practitioners.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.51-58
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• 2022

Microcontroller (MCU) is designed to properly utilize each module through programming by connecting various modules to Advanced Microcontroller Bus Architecture (AMBA). General-purpose MCUs are designed for consumers to use them appropriately in their research or industry area. However, in a specific area such as networking and AI autonomous vehicles, it is necessary to design MCU suitable for the field directly. However, there is a significant barrier for most consumers to directly design an MCU. In this paper, we provide a development guideline that can easily design an MCU for education or research purpose. First, we introduce AMBA system with open IPs, and we verify that the module operates properly through AMBA and interrupt operation. Finally, the MCU system is designed as an on-chip.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.193-198
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• 2022

Recently, place that you need to check wearing mask and body temperature to prevent the proliferation of COVID-19 increased. But these things often measured by man manually or by machine one by one, result may be different by measuring ways, so it wastes workforce. Also, the machine generally just measures the highest temperature of the face, criteria for fever can't be trusted too. A bottleneck may occur due to crowding of people at the entrance, and because most of the measurement sites are at one entrance, it is inconvenient to track the movement of COVID-19 Confirmed cases. Thus, in this study, we intend to propose a method for suppressing the spread of infection by automatically classifying and displaying in real time using camera, thermal camera, Haar Cascade, and result selection algorithm.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.265-266
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• 2021

COVID-19로 인한 외부환경요인의 변화는 2020학년도 1학기부터 대학교육시스템에 큰 변화를 일으켰다. 초기에는 비대면으로 변화된 수업 환경에서 필요한 수업 방법으로 전환하는 데 급급하였다면 비대면 상황이 지속되면서 대면 학습의 실재감을 제공하고 학습효과를 높이는 구체적인 요인 파악과 수업 적용이 필요하게 되었다. 본 연구에서는 비대면으로 이루어지는 컴퓨터공학 분야의 대표적인 실습기반 교과목인 프로그래밍 수업에서 대면 수업의 실재감을 제공하기 위해 강의동영상 수업과 실시간 수업을 활용하여 수업주제 맞춤형 비대면 혼합형 수업 방법을 적용한 후 설문 조사를 통해 혼합형 수업에서 학습자의 참여수준(태도)가 대면수업 수준의 실재감에 미치는 영향을 조사·분석하였다. 이를 통해 비대면 수업에서는 비대면 환경에서 학습자의 상호작용을 위한 수업 참여 수준(태도)가 대면 수준으로 학습효과를 높이는데 가장 큰 영향을 미친 것으로 조사·분석하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.139-140
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• 2022

코로나 팬더믹의 장기화에 따른 비대면 환경에서 대면 수업의 실재감을 제공하는 다양한 교수·학습 방법에 대한 시도가 이루어지고 있다. 실제 수업 현장에서는 대면수업과 다른 환경에서 학습자의 수준과 특성에 맞는 수업 설계의 필요성 또한 대두되고 있다. 본 연구에서는 플립러닝을 기반으로 한 비대면 프로그래밍 수업에서 학업성취도에 따른 학습 참여 수준과 실재감의 차이를 분석하여, 맞춤형 학습역량 강화를 위한 교수 방안을 모색하는 데 그 목적이 있다. 강의 동영상 수업과 상호작용을 포함한 플립러닝 기반 실시간 수업을 혼합하여 수업한 후 설문을 통해 학업성취도에 따른 학습자들의 학습 참여 수준, 교수 실재감과 학습 실재감을 조사한 결과, 학업성취도 가장 높은 학습자일수록 학습 참여도 높고, 다음 수준의 학습자들이 교수 실재감과 학습 실재감은 가장 높은 것으로 조사·분석되었다. 이를 통해 학업성취도에 기반하여 학습자별 맞춤형 교수방안을 제시하였다.