• Journal of Digital Convergence
• /
• v.10 no.9
• /
• pp.383-390
• /
• 2012

In this paper, we suggest an information retrieval visualization tool using the knowledge representation method. Information retrieval visualization tool suggested in this paper is designed to automatically extract retrieval intention using user's search history data and visualize extracted retrieval intention in the knowledge representation method structure. A psychological knowledge representation methodology was adopted for schema for retrieval intention representation and its effectiveness has been proved through the behavioral experiments. Result of experiment revealed that information retrieval visualization tool has been improved approximately 39% in user satisfaction compared to existing retrieval method, suggesting a measure to solve re-retrieval problem in the process of information retrieval.

• Genomics & Informatics
• /
• v.8 no.1
• /
• pp.58-61
• /
• 2010

CpG is the pair of nucleotides C and G, appearing successively, in this order, along one DNA strand. It is known that due to biochemical considerations CpG is relatively rare in most DNA sequences. However, in particular subsequences, which are a few hundred to a few thousand nucleotides long, the couple CpG is more frequent. These subsequences, called CpG islands, are known to appear in biologically more significant parts of the genome. The ability to identify CpG islands along a chromosome will therefore help us spot its more significant regions of interest, such as the promoters or 'start' regions of many genes. In this respect, I developed the CpG islands search tool, CpG Islands Detector, which was implemented in JAVA to be run on any platform. The window-based graphical user interface of CpG Islands Detector may facilitate the end user to employ this tool to pinpoint CpG islands in a genomic DNA sequence. In addition, this tool can be used to highlight potential genes in genomic sequences since CpG islands are very often found in the 5' regions of vertebrate genes.

• The Journal of Society for e-Business Studies
• /
• v.4 no.3
• /
• pp.179-196
• /
• 1999

A cyber shopping mall is a place where consumers acquire the product information and make purchase decision in the cyber space. Even though there are many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of them is the absence of efficient search tool to handle various products specifications. Existing search systems usually support the "keyword search only" with limited product information. Consumers spend lots of their time and efforts in searching products and comparing them. Recently, some web sites provide the shopping mall comparison service that supports the additional search conditions such as price and maker. These services improve the situation but it is not still acceptable. In this paper, we propose an intelligent product search system based on a mediator which supports various conditional search for each product. Our system provides consumers with search results that satisfy purchase specifications. Our system is implemented in Visual basic and pert and experimental results show satisfactory performance.

• Proceedings of the Korean Society of Marine Engineers Conference
• /
• 2002.05a
• /
• pp.225-231
• /
• 2002

A specialized web search engine is an internet tool for detecting information in finite cyber world. It helps to retrieve necessary information in internet sites quickly In this paper, we design and implement a prototype search engine using method of mining for the association rule discovery. It consists of a search engine part and a search robot part. The search engine uses keyword method and is considered as various user oriented interface. The search robot fetches information related to ship parts n world wide web. The experiments show that our search engine(AISE) is superior to other search engines in collecting necessary informations.

• The Journal of the Korea Contents Association
• /
• v.10 no.7
• /
• pp.81-87
• /
• 2010

This paper proposes a G-BLAST(BLAST using Grid Computing) system, an integrated software package for BLAST searches operated in heterogeneous distributed environment. G-BLAST employed 'database splicing' method to improve the performance of BLAST searches using exists computing resources. G-BLAST is a basic local alignment search tool of DNA Sequence using grid computing in heterogeneous distributed environment. The G-BLAST improved the existing BLAST search performance in gene sequence analysis. Also G-BLAST implemented the pipeline and data management method for users to easily manage and analyze the BLAST search results. The proposed G-BLAST system has been confirmed the speed and efficiency of BLAST search performance in heterogeneous distributed computing.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.1-7
• /
• 2023

In this paper, we propose a base address candidate selection method using the $gp register and page granularity as a way to build a static analysis environment for firmware based on MIPS architecture. As a way to shorten the base address search time, which is a disadvantage of the base address candidate selection method through inductive reasoning in existing studies, this study proposes a method to perform page-level search based on the $gp register in the existing base address candidate selection method as a reference point for search. Then, based on the proposed method, a base address search tool is implemented and a static analysis environment is constructed to prove the validity of the target tool. The results show that the proposed method is faster than the existing candidate selection method through inductive reasoning.

• Fashion, Industry and Education
• /
• v.16 no.1
• /
• pp.46-55
• /
• 2018

The purpose of this exploratory study was to enhance the understanding of how brands tilize emojis in their marketing practices. A content analysis was conducted utilizing Google News as a search tool to access articles containing information pertaining to the use of emojis by brands. The combination of keywords used for the search were "emoji", "business", and "marketing". The search was narrowed down to the period of January $1^{st}$, 2014 - November $29^{th}$, 2017. This method generated a total of 604 trade publications with 55 of them providing information pertaining to specific brands and their use of emojis in their marketing strategies. A content analysis of trade publications has revealed that a variety of marketers have utilized emojis in their brand marketing practices. The entertainment, service, and food/drink industries have predominantly utilized emojis in their marketing practices, and their primary purpose for using emojis was to increase consumer engagement. Brands applied most of these emoji marketing strategies to an online or digital setting, whether it was social media pages, mobile applications, or any other form of computer-based marketing. Although there are limitations to this exploratory research in terms of its methodology, the findings of this study provide interesting insights into the potential of emojis as a marketing tool.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.6
• /
• pp.41-49
• /
• 2008

In recent years, a life phenomenon using a workflow management tool in bioinformatics has been actively researched. Workflow management tool is the base which enables researchers to collaborate through the re-use and sharing of service, and a variety of workflow management tools including MyGrid project's Taverna, Kepler and BioWMS have been developed and used as the open source. This workflow management tool can model and automate different services in spatially-distant area in one working space based on the web service technology. Many tools and databases used in the bioinformatics are provided in the web services form and are used in the workflow management tool. In such the situation, the web services development and stable service offering for a sequence similarity search which is basically used in the bioinformatics can be essential in the bioinformatics field. In this paper, the similarity retrieval speed of biology sequence data was improved based on a Linux cluster, and the sequence similarity retrieval could be done for a short time by linking with the workflow management tool through developing it in the web services.

• Genomics & Informatics
• /
• v.7 no.4
• /
• pp.217-219
• /
• 2009

The primary clue for locating protein-coding regions is the open reading frame and the determination of ORFs (Open Reading Frames) is the first step toward the gene prediction, especially for prokaryotes. In this respect, we have developed a web-based ORF search tool called ORF Miner. The ORF Miner is a graphical analysis utility which determines all possible open reading frames of a selectable minimum size in an input sequence. This tool identifies all open reading frames using alternative genetic codes as well as the standard one and reports a list of ORFs with corresponding deduced amino acid sequences. The ORF Miner can be employed for sequence annotation and give a crucial clue to determination of actual protein-coding regions.

• Journal of the Ergonomics Society of Korea
• /
• v.36 no.3
• /
• pp.255-265
• /
• 2017

Objective: This study aims to survey visual search performance models to assess and predict individual's visual tasks in everyday life and industrial sites. Background: Visual search is one of the most frequently performed and critical activities in everyday life and works. Visual search performance models are needed when designing or assessing the visual tasks. Method: This study was mainly based on survey of literatures related to ergonomics relevant journals and web surfing. In the survey, the keywords of visual search, visual search performance, visual search model, etc. were used. Results: On the basis of the purposes, developing methods and results of the models, this study categorized visual search performance models into six groups: probability-based models, SATO models, visual lobe-based models, computer vision models, neutral network-based models and detection time models. Major models by the categories were presented with their advantages and disadvantages. More models adopted the accuracy among two factors of accuracy and speed characterizing visual tasks as dependent variables. Conclusion: This study reviewed and summarized various visual search performance models. Application: The results would be used as a reference or tool when assessing the visual tasks.