• The Transactions of the Korea Information Processing Society
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• v.4 no.5
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• pp.1337-1348
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• 1997

Ip over ATM and LAN Emulation over ATYM are cimmon methosd for applications to use ATM netework.But these can hardly provide full ATM serviece because of legacy transprot and network protocols they use.This paper presents work of desing and implementation of a Native ATM API that can enable direct use of native ATM scriviccs.In our work, Native ATM API specification which accommodates ATM Forum's "Native ATM Services :Semantic Deseription"has been defined, and based on this, Native ATM API has been implemented of our development are addressed, and implementation envuroment, sofware archiercture, Native ATM API library functions, and applecation programming using our Native ATM API are described.described.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.181-186
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• 2009

Recently, the consuming efficiency of energy and natural resources has been a hot issue because of the continuous increasing of energy consumption and soaring of international oil prices. We tried to seek an action plan for the government's new paradigm 'Low-Carbon, Green Growth' by consuming energy efficiently and improving in energy management based on ubiquitous IT technologies. In this study, the library survey method is adopted for this study and IP-USN(internet protocol based ubiquitous sensor network) is considered as a core technology among various ubiquitous IT technologies. The purpose of this study is to deliver a method of energy management through integrating the context information gathered from sensors with digital space models and visualizing them together. The details are to survey the technologies of digital space modeling, USN based monitoring, building energy management and to integrate these technologies all together. This study will contribute to the enhancement of efficient building energy management by grasping the accurate situation of energy consuming in the building in realtime and minimizing unnecessary energy wastes.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07b
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• pp.1611-1614
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• 2005

In this paper, a new multi-view 3D video communication system for real-time Reality teleconferencing application is proposed by usin gthe IEEE 1394 digital cameras, Intel Xeon server computer system and Microsoft's DirectShow programming library and its performance is analyzed in terms of image-grabbing frame rate and number of views. The captured two-view image data is compressed by extraction of disparity data between them and transmitted to another client system through the communication network, in which multi-view could be synthesized with this received 2-view data using the intermediate view reconstruction technique and displayed on the multi-view 3D display system. From some experimental results, it is found that the proposed system can display 16-view 3D images with a gray of 8bits and a frame rate of 15fps.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1296-1299
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• 2002

We implemented a CD signal processor operated on a CAV 48-speed CD-ROM drive into a VLSI. The CD signal processor is a mixed mode monolithic IC including servo-processor, data recovery, data-processor, and I-bit DAC. For servo signal processing, we included a DSP core, while, for CAV mode playback, we adopted a PLL with a wide recovery range. Data processor (DP) was designed to meet the yellow book specification.［2］So, the DP block consists of EFM demodulator, C1/C2 ECC block, audio processor and a block transferring data to an ATAPI chip. A modified Euclid's algorithm was used as a key equation solver for the ECC block To achieve the high-speed decoding, the RS decoder is operated by a pipelined method. Audio playability is increased by playing a CD-DA disc at the speed of 12X or 16X. For this, subcode sync and data are processed in the same way as main data processing. The overall performance of IC is verified by measuring a transfer rate from the innermost area of disc to the outermost area. At 48-speed, the operating frequency is 210 ㎒, and this chip is fabricated by 0.35 um STD90 cell library of Samsung Electronics.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.2
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• pp.60.2-61
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• 2017

A Convolutional Neural Network(CNN) is one of the well-known deep-learning methods in image processing and computer vision area. In this study, we apply CNN to two kinds of flare forecasting models: flare classification and occurrence. For this, we consider several pre-trained models (e.g., AlexNet, GoogLeNet, and ResNet) and customize them by changing several options such as the number of layers, activation function, and optimizer. Our inputs are the same number of SOHO)/MDI images for each flare class (None, C, M and X) at 00:00 UT from Jan 1996 to Dec 2010 (total 1600 images). Outputs are the results of daily flare forecasting for flare class and occurrence. We build, train, and test the models on TensorFlow, which is well-known machine learning software library developed by Google. Our major results from this study are as follows. First, most of the models have accuracies more than 0.7. Second, ResNet developed by Microsoft has the best accuracies : 0.77 for flare classification and 0.83 for flare occurrence. Third, the accuracies of these models vary greatly with changing parameters. We discuss several possibilities to improve the models.

• 한국전산유체공학회:학술대회논문집
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• 2010.05a
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• pp.335-340
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• 2010

In this paper development of an automatic grid generation program for flow field calculation around 3D wing is described and its application is also introduced. The program is developed by using JAVA programming language and a graphic library, JOGL, and it can be usee either as an application program on a local computer or as a applet in the network environment. Currently, The program provides NACA series 4-digit airfoils as the wing cross-section shape and it offers a non-complicated GUI program which can easily generate structured grids for wings based on user's parameter input. Grid generated by the program can be selected as one of two types; O-type and C-type. In this research advancing layer method(ALM) augmented by elliptic smoothing method is used for the FLUENT. It is shown that by using current program high-quality structured grids around 3D wings can be easily generated, and typical grid generation results and flow solutions are demonstrated. Study on effects of geometric parameters on flow field is also tried by changing major wing parameters such as incidence angle type of wing-tip and sweepback angle.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.171-174
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• 2000

가상문서(Virtual Document)란 특정 저장장소에 저장되어 실재로 존재하는 물리적 문서(Physical Document)들을 대상으로 사용자에게 필요한 일부분 또는 전체를 동적으로 연결하여 통합한 문서를 의미한다. 가상문서의 특징은 여러가지 형태로 작성되고 표현된 문서들을 하나의 문서개념으로 통합해 제시할 수 있으며, 가상문서 단일로 데이터를 관리함으로써 다양한 멀티미디어 요소들이 그에 적합한 애플리케이션의 도움을 받아 하나의 프레임 안에서 동시에 존재하고 상호 연계하여 동작할 수 있게 된다. 가상문서를 사용하는 이점은 첫째, 저작자가 가상문서안에 들어갈 여러 미디어 컨텐트들을 복사하여 가상문서에 직접 삽입하지 않고 위치정보만을 기술하므로 방대한 양의 멀티미디어 문서에 대한 저장공간을 줄일 수 있으며 둘째, 링크의 사용으로 인해 크기가 작아진 가상문서는 네트워크를 통한 문서 전송시 효율적으로 전송할 수 있다. 본 논문에서는 디지털도서관 시스템 MIRAGE III(4)에서 이용하는 가상문서를 쉽게 만들어 주는 가상문서 저작도구의 설계 및 구현과정에 대하여 기술하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4658-4679
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• 2017

Android is now the most popular smartphone platform and remains rapid growth. There are huge number of sensitive privacy information stored in Android devices. Kinds of methods have been proposed to detect Android malicious applications and protect the privacy information. In this work, we focus on extracting the fine-grained features to maximize the information of Android malware detection, and selecting the least joint features to minimize the number of features. Firstly, permissions and APIs, not only from Android permissions and SDK APIs but also from the developer-defined permissions and third-party library APIs, are extracted as features from the decompiled source codes. Secondly, feature selection methods, including information gain (IG), regularization and particle swarm optimization (PSO) algorithms, are used to analyze and utilize the correlation between the features to eliminate the redundant data, reduce the feature dimension and mine the useful joint features. Furthermore, regularization and PSO are integrated to create a new joint feature mining method. Experiment results show that the joint feature mining method can utilize the advantages of regularization and PSO, and ensure good performance and efficiency for Android malware detection.

• Journal of Microbiology and Biotechnology
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• v.6 no.1
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• pp.54-59
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• 1996

In the research and development of bioactive compounds, determining whether a compound is novel is necessary at almost every stage. Fast and efficient determination can save money, time and effort, and thereby increase efficiency. Analysis and investigation of empirical results for previously determined compounds is also important in such research. The need to communicate research findings between workers is necessary. In effect, a systematic, centralized communication medium is required. Therefore, we have developed and constructed our own database and search systems. We have developed a search system on DOS and constructed a source file for our own database. To support multiple users, we have developed another specific and comprehensive search system, including powerful searching and output management features. The system has been developed to be simple and user-friendly, using the curses library of UNIX, while still allowing complicated queries to be performed easily with simple full-screen facilities. This UNIX version will be available for use by researchers on a computer network and is expected to make numerous contributions to basic research in universities. It will also have direct applications for institutes and industry.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.9
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• pp.915-921
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• 2013

This work presents a 77 GHz low noise amplifier(LNA) for automotive radar systems using 65 nm RF CMOS process. The LNA is composed of three stage common source amplifiers and includes transmission line matching networks. To reduce the time for three dimensional EM simulation, we optimize the transmission line impedance matching network using a pre-built EM library. The proposed compact simulation technique is confirmed by measurement results. The peak gain of the LNA is 10 dB at 77 GHz and input/output return losses are below -10 dB around the design frequency.