• The KIPS Transactions:PartA
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• v.13A no.4 s.101
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• pp.295-304
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• 2006

Java has been established as one of the most widely-used languages owing to its support of object-oriented concepts, safety, and flexibility. Garbage collection in the Java virtual machine is a core component that relieves application programmers of difficulties related to memory management. In this paper, we propose a memory manager and a garbage collector that is implemented on a embedded java virtual machine. The memory manager divide a heap into various-sized cells and manages it as blocks of same-sized cells. So it is possible to allocate and free memory fast. We adopted the 3-color based Mark & Sweep garbage collector as our base algorithm and we propose 4-color based Mark & Sweep garbage collector for supporting multi-threaded program. The proposed garbage collector occurs memory fragmentation but we show through a experiment that the fragmentation ratio is almost fixed according as we create objects continuously.

• International Journal of Aeronautical and Space Sciences
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• v.14 no.2
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• pp.162-171
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• 2013

A general purpose aircraft mission performance analysis program has been developed. The program can be used in design mode or in analysis mode. Fuel weight for a given mission profile can be estimated when the design mode is chosen, while mission time or mission range for a given fuel can be estimated when the analysis mode is chosen. The mission analysis program is written with JAVA and includes GUI(Graphic User Interface) for users' conveniences. With a proper combination of databases for propulsion, aerodynamics and weight, the program can be configured to compute the performance of any type of aircraft. The program is validated by comparing its results with the results of a well known performance analysis program by ADD(Agency for Defense Development).

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.11-19
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• 2021

A software system is required to change during its life cycle due to various requirements such as adding functionalities, fixing bugs, and adjusting to new computing environments. Such program code modification should be considered as carefully as a new system development becase unexpected software errors could be introduced. In addition, when reusing open source programs, we can expect higher quality software if code changes of the open source program are predicted in advance. This paper proposes a Convolutional Neural Network (CNN)-based deep learning model to predict source code changes. In this paper, the prediction of code changes is considered as a kind of a binary classification problem in deep learning and labeled datasets are used for supervised learning. Java projects and code change logs are collected from GitHub for training and testing datasets. Software metrics are computed from the collected Java source code and they are used as input data for the proposed model to detect code changes. The performance of the proposed model has been measured by using evaluation metrics such as precision, recall, F1-score, and accuracy. The experimental results show the proposed CNN model has achieved 95% in terms of F1-Score and outperformed the multilayer percept-based DNN model whose F1-Score is 92%.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.05a
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• pp.411-416
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• 2002

This paper is concerned with the development of web-based engineering calculation program using Javascript. Recently, various techniques are developed based on the advance of the internet environment. The Javascript can be used in the client PC without any interpreter which is necessary in Java. Simple formula can be easily constructed using the Javascript and the results can be readily available without any playing. In this study, we demonstrated the method of constructing engineering web useful for engineers.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.847-849
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• 2004

프로그램 내에서 심각하지 않은 에러를 예외라고 한다. 자바에서는 프로그래머가 이러한 예외를 명시적으로 처리할 수 있으며 신뢰성 있는 프로그램 개발을 위해서는 발생 가능한 예외에 대한 적절한 처리가 중요하다. 이러한 예외의 처리 여부에 대한 연구는 주로 정적 분석을 중심으로 이루어져 왔으나 프로그램 실행 중에 예외 발생, 전파 경로에 대한 정확한 정보는 제공해주지 못한다. 본 연구에서는 프로그램 변란을 이용해 실행 중에 발생. 처리, 전파되는 예외 정보를 실시간으로 제공할 수 있는 시스템을 설계 개발한다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10a
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• pp.271-272
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• 2007

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.913-926
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• 2000

An electronic statistics text on the web is implemented. The introduced text provide interactive instructions on the statistical estimation and inference. As a by-product, we also provide a calculation of quantiles and p-value of t-distribution and standard normal distribution. This program was written in JAVA programming language.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1915-1922
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• 2012

In this paper, the Solar Inverter will be monitored by using the AJAX(Asynchronous JavaScript and XML). AJAX is the one of the technologies that can make the RIA(Rich Internet Application) with DHTML(Dynamic Hyper Text Makeup Language) and other java script technology. By using this, a strong application program that is comparable to the general application program can be made. With an existing data-processing technique, the request and response of data can't be processed dynamically on the same page. However, real-time monitoring of data and operation statuses can be confirmed by using the AJAX an asynchronous method of communication. Also without changing the page, the amount of data transmission used the AJAX with significantly small amounts of data to build a Solar Inverter monitoring system that is able to efficiently handle management and monitoring, operating all functions within one page.

• The KIPS Transactions:PartA
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• v.19A no.4
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• pp.187-194
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• 2012

This paper proposes a string analysis based system for classifying Android Apps that may access so called harmful sites, and shows an experiment result for real Android apps on the market. The system first transforms Android App binary codes into Java byte codes, it performs string analysis to compute a set of strings at all program points, and it classifies the Android App as bad ones if the computed set contains URLs that are classified because the sites provide inappropriate contents. In the proposed approach, the system performs such a classification in the stage of distribution before installing and executing the Apps. Furthermore, the system is suitable for the automatic management of Android Apps in the market. The proposed system can be combined with the existing methods using DNS servers or monitoring modules to identify harmful Android apps better in different stages.

• Journal of Korea Multimedia Society
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• v.5 no.3
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• pp.342-350
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• 2002

The execution speed is not an important factor for Java programming language when implementing small size application program which is executed on the web browser, but it becomes a serious limitation when the huge-size programs are implemented. To overcome this problem, the various research is conducted for translating the Bytecode into the target code which can be implemented in the specific processor by using classical compiling methods. In this research, we have designed and realized an intermediate code translator for the native code generation system with which we can directly generate i386 code from Bytecode to improve the execution speed of Java application programs. The intermediate code translator generates the register-based intermediate code from *.class files which are the intermediate code of Java.