• Bulletin of the Korean Chemical Society
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• 제35권3호
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• pp.845-850
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• 2014

The rapid development of shotgun proteomics is paving the way for extensive proteome profiling, while providing extensive information on various post translational modifications (PTMs) that occur to a proteome of interest. For example, the current phosphoproteomic methods can yield more than 10,000 phosphopeptides identified from a proteome sample. Despite these developments, it remains a challenging issue to pinpoint the true phosphorylation sites, especially when multiple sites are possible for phosphorylation in the peptides. We developed the Phospho-UMC filter, which is a simple method of localizing the site of phosphorylation using unique mass classes (UMCs) information to differentiate phosphopeptides with different phosphorylation sites and increase the confidence in phosphorylation site localization. The method was applied to large scale phosphopeptide profiling data and was demonstrated to be effective in the reducing ambiguity associated with the tandem mass spectrometric data analysis of phosphopeptides.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.162-169
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• 2003

Excavation by TBM can be characterized by a rock-machine interaction during the cutting process on a small scale, but on a large scale the interaction between the rock mass and TBM becomes very significant. For the planning and evaluation of TBM tunnelling it needs to understand rock fracture mechanism by a cutter or cutters on a small scale, and to estimate penetration rate, advance rate and utilization on a large scale. In this study rock chipping mechanism due to cutter-penetration is analysed by numerical simulation, showing that rock chipping is mainly occurred by tensile failure. Also, through the analysis of factors that affect on TBM procedures in various assessment systems, it is determined that the key elements that should be considered in the planning and evaluation of TBM tunnelling are classified into rock properties, the geological structures and properties of rock mass, and the structural and functional specifications of the machine. The user-friendly assessment tool is developed, so that penetration rate, advance rate and TBM utilization are evaluated from various input data. The tool developed in this study can be applied to a practical TBM tunnelling by understanding TBM tunnelling procedures.

• Journal of Information Processing Systems
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• 제20권1호
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• pp.24-37
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• 2024

To address the requirement for high-speed encryption of large amounts of data, this study improves the widely adopted cipher block chaining (CBC) mode and proposes a controllable parallel cipher block chaining (CPCBC) block cipher mode of operation. The mode consists of two phases: extension and parallel encryption. In the extension phase, the degree of parallelism n is determined as needed. In the parallel encryption phase, n cipher blocks generated in the expansion phase are used as the initialization vectors to open n parallel encryption chains for parallel encryption. The security analysis demonstrates that CPCBC mode can enhance the resistance to byte-flipping attacks and padding oracle attacks if parallelism n is kept secret. Security has been improved when compared to the traditional CBC mode. Performance analysis reveals that this scheme has an almost linear acceleration ratio in the case of encrypting a large amount of data. Compared with the conventional CBC mode, the encryption speed is significantly faster.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 추계학술대회 논문집
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• pp.52-56
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• 2011

Recently, KARI(Korea Aerospace Research Institute) has been developing a modern 11.5m diameter four bladed bearingless main rotor system, and this rotor system can be used for 7,000lb class helicopter. Flexbeam and torque tube can be considered as the key structural components, and large elastic twist of flexbeam induced by pitch control motion of torque tube can influence the nonlinear aeroelastic behavior. In this paper, the dynamic characteristic analysis results of bearingless rotor system were presented. In order to construct a input model and validate the analysis procedures, calculated results using the comprehensive helicopter analysis program CAMRAD II were compared with the measured natural frequencies and lag damping data from small-scale wind tunnel test. Next, the analysis model was extended to a full-scale model, and the dynamic analysis results were presented.

• 한국소음진동공학회논문집
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• 제22권2호
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• pp.187-192
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• 2012

Recently, KARI(Korea Aerospace Research Institute) has been developing a modern 11.5 m diameter four bladed bearingless main rotor system, and this rotor system can be used for 7,000 lb class helicopter. Flexbeam and torque tube can be considered as key structural components, and large elastic twist of flexbeam induced by pitch control motion of torque tube can influence the nonlinear aeroelastic behavior. In this paper, the dynamic characteristic analysis results of bearingless rotor system were presented. In order to construct a input model and validate the analysis procedures, calculated results using the comprehensive helicopter analysis program CAMRAD II were compared with the measured natural frequencies and lag damping data from small-scale wind tunnel test. Next, the analysis model was extended to a full-scale model, and the dynamic analysis results were presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.841-854
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• 2020

The paper explains the method to process, analyze and predict traffic patterns in Los Angeles county using Big Data and Machine Learning. The dataset is used from a popular navigating platform in the USA, which tracks information on the road using connected users' devices and also collects reports shared by the users through the app. The dataset mainly consists of information about traffic jams and traffic incidents reported by users, such as road closure, hazards, accidents. The major contribution of this paper is to give a clear view of how the large-scale road traffic data can be stored and processed using the Big Data system - Hadoop and its ecosystem (Hive). In addition, analysis is explained with the help of visuals using Business Intelligence and prediction with classification machine learning model on the sampled traffic data is presented using Azure ML. The process of modeling, as well as results, are interpreted using metrics: accuracy, precision and recall.

• 한국멀티미디어학회논문지
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• 제16권5호
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• pp.657-666
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• 2013

현대사회는 소셜 미디어, 비즈니스, 바이오 인포메틱스 같은 다양한 응용프로그램에서 지속적으로 생산되어 지고 있는 수많은 데이터의 빠른 유입으로 특징지어 지고 있다. 이에 따라 폭발적으로 증가하고 있는 대규모 데이터를 보다 효율적으로 분석하고 처리 할 수 있는 방법이 그 어느 때보다 강조 되고 있다. 지난 몇 년간 학계에서는 배치 지향 시스템 (batch oriented system) 환경 내에서 병렬 처리를 효과적으로 지원할 수 있는 맵리듀스 기법이 활발히 연구 되어 왔으며, 맵리듀스 기법은 다양한 분야에서 성공적으로 사용되고 있다. 그러나 이 기법은 데이터의 상대적 유용성 (data utility)을 고려하지 않기 때문에, 멀티미디어 응용프로그램 사용자의 특성 (즉, 높은 혹은 낮은 스코어를 가지는 몇몇 결과물에 관심을 가지는 사용자들의 특성)으로 인하여 효과적인 성능을 보여 주지 못하고 있다. 따라서 본 논문에서는 이러한 문제점을 해소하기 위해, 맵리듀스 상에서의 데이터 분할 방식을 제안한다. 또한, 제안된 분할 방식에 대한 성능 실험을 통하여 우리가 제안하는 데이터 분할 방식이 기존 방식보다 성능 향상을 자져올 수 있음을 보여준다.

• 한국군사과학기술학회지
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• 제25권4호
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• pp.372-380
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• 2022

This study proposes a distributed parallel processing system, called the Fast Analysis System for remote sensing daTa(FAST), for large-scale satellite image processing and analysis. FAST is a system that designs jobs in vertices and sequences, and distributes and processes them simultaneously. FAST manages data based on the Hadoop Distributed File System, controls entire jobs based on Apache Spark, and performs tasks in parallel in multiple slave nodes based on a docker container design. FAST enables the high-performance processing of progressively accumulated large-volume satellite images. Because the unit task is performed based on Docker, it is possible to reuse existing source codes for designing and implementing unit tasks. Additionally, the system is robust against software/hardware faults. To prove the capability of the proposed system, we performed an experiment to generate the original satellite images as ortho-images, which is a pre-processing step for all image analyses. In the experiment, when FAST was configured with eight slave nodes, it was found that the processing of a satellite image took less than 30 sec. Through these results, we proved the suitability and practical applicability of the FAST design.

• 산경연구논집
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• 제8권4호
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• pp.37-46
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• 2017

Purpose - The purpose of this study is to investigate the factors that cause consumers to frequently visit large - Super Store and goods for large - scale retailers using Super Store. Research design, data, and methodology - The purpose of this study is to present the empirical analysis of 53 adult males and females living in the Mokpo area on the relationship between perceived level of satisfaction and loyalty of the large - scale marts. The results were analyzed. The statistical data of the questionnaire were verified by the SPSS. Results - In the empirical analysis of this study, four variables were found to be the main loyalty factors, which were found to affect the satisfaction of Super Store and the decision to return again. Therefore, in this study, the quality of goods, price, diversity, and image were analyzed as loyalty factors, and it was analyzed as factors influencing satisfaction. It was confirmed that loyalty factors were important. In particular, consumers' perception of behaviors such as local specialties and community service that can be distinctly differentiated from other distribution agencies was very low. Conclusions - It is necessary to construct a comprehensive systematic system to analyze the detailed factors influencing the satisfaction and loyalty of users of Mokpo ticket consumers and to systematically manage and evaluate them. In order to raise awareness of consumer loyalty factors, consumer satisfaction and loyalty survey should be regularly conducted. Consumers should look for ways to improve them and develop improvement plans. The various direct and indirect services provided by Super Store to consumers include price, quality, assortment, customer service, accessibility, and feelings for large marts. However, since the services provided by the Super Store are different from those of the consumers, the loyalty factors for the different factors can be different. Therefore, in order to differentiate them from traditional markets or other distribution centers, it It should be used as a weapon of competition. In this study, it is generally recognized that the services provided by Super Store are very simple and inexpensive, so that consumers are not aware of the difference of particular stores.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1999년도 봄 학술발표회 논문집
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• pp.50-57
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• 1999

Structural analysis of large-scale structures involving large amount of computational load and data storage requires high-performance computing resources. We have previously developed PC-level distributed structural analysis algorithms based on substructuring technique where each personal computer assigned to a slave node has been involved in the computations for single substructures. Recently, it has been proved by the authors that the performance of distributed structural analysis algorithm can be further enhanced by changing substructuring schemes. Therefore a new distributed structural analysis algorithm with one PC to multiple substructures scheme is presented in this paper. The algorithm is implemented on the network of multiple personal computers and applied to structural analysis of two dimensional frame structures.