• Genomics & Informatics
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• 제15권1호
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• pp.51-53
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• 2017

High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy. Numerous bioconductor packages have been developed for the statistical analysis of RNA-Seq data. However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. In this paper, we propose an R-based RNA-Seq analysis pipeline called TRAPR, an integrated tool that facilitates the statistical analysis and visualization of RNA-Seq expression data. TRAPR provides various functions for data management, the filtering of low-quality data, normalization, transformation, statistical analysis, data visualization, and result visualization that allow researchers to build customized analysis pipelines.

• International Journal of Contents
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• 제15권4호
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• pp.1-7
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• 2019

As the recent developments of artificial intelligence, particularly machine-learning, impact every aspect of society, they are also increasingly influencing creative fields manifested as new artistic tools and inspirational sources. However, as more artists integrate the technology into their creative works, the issues of diversity and fairness are also emerging in the AI-based creative practice. The data dependency of machine-learning algorithms can amplify the social injustice existing in the real world. In this paper, we present an interactive visualization system for raising the awareness of the diversity and fairness issues. Rather than resorting to education, campaign, or laws on those issues, we have developed a web & ML-based interactive data visualization system. By providing the interactive visual experience on the issues in interesting ways as the form of web content which anyone can access from anywhere, we strive to raise the public awareness of the issues and alleviate the important ethical problems. In this paper, we present the process of developing the ML-based interactive visualization system and discuss the results of this project. The proposed approach can be applied to other areas requiring attention to the issues.

• 한국가시화정보학회지
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• 제16권2호
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• pp.7-15
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• 2018

The fluid-flow characteristics of flue-gas-recirculation (FGR) system can have a significant effect on system efficiency of a sintering plant. The flow characteristics in the system were investigated. A sintering plant with FGR system was modeled. Numerical visualization was performed and flow characteristics were analyzed. Characteristics of the flow distribution of the branch ducts, the inflow of air into the recirculating hood, and the flow in the hood were discussed. Based on the results three suggestions were proposed: (1) distribution of branch duct flowrate upstream, (2) installation of external air ducts in the hood, and (3) installation of baffles at the hood corners. The suggestions were tested numerical and experimental visualization methods. The suggestions were effective and confirmed to be applicable to the actual sinter plant.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.749-766
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• 2021

Cyber powers around the world are conducting cyber information-gathering activities in cyberspace, a global domain within the Internet-based information environment. Accordingly, it is imperative to obtain the latest information through the cyber intelligence preparation of the battlefield (IPB) process to prepare for future cyber operations. Research utilizing the cyber battlefield visualization method for effective cyber IPB and situation awareness aims to minimize uncertainty in the cyber battlefield and enable command control and determination by commanders. This paper designed architecture by classifying cyberspace into a physical, logical network layer and cyber persona layer to visualize the cyber battlefield using BGP archive data, which is comprised of BGP connection information data of routers around the world. To implement the architecture, BGP archive data was analyzed and pre-processed, and cyberspace was implemented in the form of a Di-Graph. Information products that can be obtained through visualization were classified for each layer of the cyberspace, and a visualization method was proposed for performing cyber IPB. Through this, we analyzed actual North Korea's BGP and OSINT data to implement North Korea's cyber battlefield centered on the Internet network in the form of a prototype. In the future, we will implement a prototype architecture based on Elastic Stack.

• 한국BIM학회 논문집
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• 제14권2호
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• pp.13-24
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• 2024

This research suggests a novel visualization approach utilizing Generative AI to render photorealistic architectural alternatives images in the early design phase. Photorealistic rendering intuitively describes alternatives and facilitates clear communication between stakeholders. Nevertheless, the conventional rendering process, utilizing 3D modelling and rendering engines, demands sophisticate model and processing time. In this context, the paper suggests a rendering approach employing the text-to-image method aimed at generating a broader range of intuitive and relevant reference images. Additionally, it employs an Text-to-Image method focused on producing a diverse array of alternatives reflecting architects' styles when visualizing the exteriors of residential buildings from the mass model images. To achieve this, fine-tuning for architects' styles was conducted using the Low-Rank Adaptation (LoRA) method. This approach, supported by fine-tuned models, allows not only single style-applied alternatives, but also the fusion of two or more styles to generate new alternatives. Using the proposed approach, we generated more than 15,000 meaningful images, with each image taking only about 5 seconds to produce. This demonstrates that the Generative AI-based visualization approach significantly reduces the labour and time required in conventional visualization processes, holding significant potential for transforming abstract ideas into tangible images, even in the early stages of design.

• 한국CDE학회논문집
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• 제18권2호
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• pp.104-112
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• 2013

Computer-based modeling and simulation (M&S) techniques have become an essential component in the development of new weapons systems. M&S techniques provide a means to simulate military training, strategies, military doctrines, and weapons acquisition processes. This paper proposes a small scale engagement scenario generation method. This work also includes a process for scenario generation and visualization. The proposed scenario generation methodology employs the Timed-FSA (finite state automata) and DFS (depth first search) algorithms. The proposed scenario generation method is verified using a one-on-one combat engagement scenario between two submarines. In addition, we suggest a scenario generation process including whole scenario generation and scenario visualization.

• Journal of information and communication convergence engineering
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• 제19권2호
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• pp.102-107
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• 2021

In this paper, we propose a new three-dimensional (3D) photon-counting integral imaging reconstruction method using a merging reconstruction process and maximum likelihood estimation (MLE). The conventional 3D photon-counting reconstruction method extracts photons from elemental images using a Poisson random process and estimates the scene using statistical methods such as MLE. However, it can reduce the photon levels because of an average overlapping calculation. Thus, it may not visualize 3D objects in severely low light environments. In addition, it may not generate high-quality reconstructed 3D images when the number of elemental images is insufficient. To solve these problems, we propose a new 3D photon-counting merging reconstruction method using MLE. It can visualize 3D objects without photon-level loss through a proposed overlapping calculation during the reconstruction process. We confirmed the image quality of our proposed method by performing optical experiments.

• 한국정보과학회논문지:시스템및이론
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• 제32권7호
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• pp.341-348
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• 2005

메시지전달 프로그램에서 발생하는 임의의 메시지경합은 다른 경합의 발생에 영향을 줄 수 있으므로, 효과적인 디버깅을 위해서 영향받지 않은 경합을 탐지하는 것이 중요하다. 이러한 경합을 효율적으로 탐지하기 위한 기존의 기법은 각 프로세스에서 가장 먼저 발생하는 경차의 수신사건에서 수행을 중단하여 경합하는 메시지들을 탐지한다. 그러나 프로세스의 수행 중단은 경합들간에 존재하는 영향관계의 단절을 초래하므로, 탐지된 모든 경합이 영향받지 않은 경합임을 보장하지 못한다. 본 논문은 기존의 두 번째 수행을 위한 알고리즘에 각 프로세스에서 가장 먼저 발생한 경합의 영향관계 정보를 생성하는 알고리즘을 추가하여, 탐지된 경차들간의 관계를 효과적으로 시각화하는 기법을 제안한다. 이러한 시각화는 각 프로세스에서 최초로 발생한 경합들간에 형성된 영향관계를 보임으로써 영향받지 않은 경합을 시각적으로 탐지하는데 효과적이다.

• 융합신호처리학회논문지
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• 제3권4호
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• pp.35-41
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• 2002

복잡한 문제들의 근사해를 구하기 위하여 최근 다양한 방법들이 소개되고 있다. 이러한 방법들은 주로 금속의 서랭(Annealing)에 의해 금속분자의 에너지가 최저점에 도달하는 과정을 모의실험한 최적화 기법(Simulated Annealing), 생물의 적자생존(Survival of Fittest)과정을 이용한 최적화 기법인 유전적 알고리즘(Genetic Algorithm)등 물리적 현상이나 생물 ?생명에 관련된 모의를 최적화 문제에 응용한 방법들이다. 최근에 소개된 Particle Swarm Optimization(PSO)는 주로 조류나 어류등의 생물의 무리가 각각의 개체가 가지고 있는 정보를 공유해가며 먹이를 찾아가는 과정을 모의한 기법이다. 하지만, 이 기법의 탐색과정이 명확하게 밝혀져 있지 않다. 본 논문에서는 PSO의 탐색과정을 가시화 하는 것을 목적으로 한다. 탐색과정을 가시화 하는 작업을 통해 그 탐색 능력을 시각적으로 파악하는 것이 가능하며 기법에 관한 이해를 돕고 교육적 효과도 기대 가능하다.

• 한국도서관정보학회지
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• 제35권1호
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• pp.303-317
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• 2004

The purpose of this study was to develop a framework for predicting searching performance through an understanding of how cognitive ability relates to searching process and outcome. Specifically, this study examined the relationship between spatial visualization, logical reasoning, integrative reasoning, and information searching process and outcome. Information searching process was assessed by seven search process indicators: (1) search command selection: (2) combination of search commands; (3) application of Boolean logic: (4) application of truncation; (5) use of limit search function; (6) number of search statements; and (7) number of search errors made. Searching outcome was assessed by the number of correct answers to search questions. Subjects first took three standardized cognitive tests that measured cognitive abilities, and performed online catalog searching in response to seven information search questions. The searches were logged using Lotus ScreenCam, and reviewed for the analysis. Factor analysis was used to find underlying structures of the seven search process variables. Multiple regression analysis was applied to examine the predictive power of three cognitive variables on three extracted factors, and search outcome. Results of the data analysis showed that individual differences in logical reasoning could predict information searching process and outcome.