• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.679-688
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• 2003

Motif databases are used in the function and structure prediction of proteins which appear on new and rapid release of raw data from genome sequencing projects. Recently, the frequency of use about these databases increases continuously. However, existing motif databases were developed and extended independently and were integrated mainly by using a web-based cross-reference, thus these databases have a heterogeneous search result problem, a complex query process problem and a duplicate database entry handling problem. Therefore, in this paper, we suppose physical motif resource integration and describe the integrated search method about a family-based protein prediction for solving above these problems. Finally, we estimate our implementation of the motif integration database and prediction system for predicting protein motifs.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.15 no.2
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• pp.177-194
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• 2004

The overload of internet information makes user many restrictions. Users are confronted with the problems of information quantities, search, quality and reliability without information needs, technology level, education background of user, when they use internet as a tool of information search and retrieval. Web academic information subject gateway which provides user web information resource of high quality is a solution for these problems. This article explores the characteristics about the establishment and administration of foreign web academic information subject gateway, and identifies the considerations for establishing and managing it.

• Journal of Family Resource Management and Policy Review
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• v.13 no.3
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• pp.17-30
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• 2009

This study investigated the relationship between style of purchase behavior and search information, attitude, and behavior for energy saving. In addition, this paper classified several consumer groups based on their different styles of purchase behavior and investigated whether those groups differ in attitude and behavior for energy saving. The following is a summary of the main results. First, consumers were classified according to style of purchase behavior into a rational consumer group, a fashion- or brand-oriented group, a group uninterested in consumption, and a neutrally oriented group. Second, there were no significant differences among the four consumer groups in the amount of information search and the level of communication with other consumers related to energy-saving information; however, there were significant differences in terms of the information sources used. For example, the neutrally oriented group was more likely to use more objective information sources. Third, the level of attitude toward energy saving was more likely to be active when consumers were old and rational. Consumers with a high income, education and experience in energy saving, and an active attitude were more likely to be active in energy saving, especially in the disposal stage of purchase. Finally, attitude toward energy saving was the most influential factor in the level of energy-saving behavior.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.36-42
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• 2021

This paper deals with a vehicle routing problem with resource repositioning (VRPRR) which is a variation of well-known vehicle routing problem with pickup and delivery (VRPPD). VRPRR in which static repositioning of public bikes is a representative case, can be defined as a multi-objective optimization problem aiming at minimizing both transportation cost and the amount of unmet demand. To obtain Pareto sets for the problem, famous multi-objective optimization algorithms such as Strength Pareto Evolutionary Algorithm 2 (SPEA2) can be applied. In addition, a linear combination of two objective functions with weights can be exploited to generate Pareto sets. By varying weight values in the combined single objective function, a set of solutions is created. Experiments accomplished with a standard benchmark problem sets show that Variable Neighborhood Search (VNS) applied to solve a number of single objective function outperforms SPEA2. All generated solutions from SPEA2 are completely dominated by a set of VNS solutions. It seems that local optimization technique inherent in VNS makes it possible to generate near optimal solutions for the single objective function. Also, it shows that trade-off between the number of solutions in Pareto set and the computation time should be considered to obtain good solutions effectively in case of linearly combined single objective function.

• Journal of Satellite, Information and Communications
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• v.7 no.3
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• pp.86-93
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• 2012

In this paper, we propose keyword search and ranking methods for OWL documents that describe metadata and ontology on the Semantic Web. The proposed keyword search method defines a unit of keyword search result as an information resource and expands a scope of query keyword to names of class and property or literal data. And we reflected derived information by inference in the keyword search by considering the elements of OWL documents such as hierarchical relationship of classes or properties and equal relationship of classes. In addition, our method can search a large number of information resources that are relevant to query keywords because of information resources indirectly associated with query keywords through semantic relationship. Our ranking method can improve user's search satisfaction because of involving a variety of factors in the ranking by considering the characteristics of OWL. The proposed methods can be used to retrieve digital contents, such as broadcast programs.

• Interdisciplinary Bio Central
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• v.3 no.2
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• pp.7.1-7.6
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• 2011

Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

• Journal of KIISE:Databases
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• v.33 no.6
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• pp.563-577
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• 2006

A stream processor uses resource sharing method for efficient of limited resource in multiple continuous queries. The previous methods process aggregate queries to consist the level structure. So insert operation needs to reconstruct cost of the level structure. Also a search operation needs to search cost of aggregation information in each size of sliding windows. Therefore this paper uses linear structure for optimization of sliding window aggregations. The method comprises of making decision, generation and deletion of panes in sequence. The decision phase determines optimum pane size for holding accurate aggregate information. The generation phase stores aggregate information of data per pane from stream buffer. At the deletion phase, panes are deleted that are no longer used. The proposed method uses resources less than the method where level structures were used as data structures as it uses linear data format. The input cost of aggregate information is saved by calculating only pane size of data though numerous stream data is arrived, and the search cost of aggregate information is also saved by linear searching though those sliding window size is different each other. In experiment, the proposed method has low usage of memory and the speed of query processing is increased.

• Korean Journal of Pharmacognosy
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• v.47 no.3
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• pp.211-216
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• 2016

In the course of our continuing search for biologically active components from Korean medicinal plants, we isolated the main compound, luteolin 5-glucoside from aqueous fraction of Ajuga spectabilis. The structure was elucidated by the basis of $^1H$ and $^{13}C$ NMR and TOF ESI-MS data. Quantitative analysis of luteolin 5-glucoside was carried out on a XBridge C18 column ($S-5{\mu}m$, $4.6{\times}250mm$) with gradient elution composed of acetonitrile:water. The results exhibit that the average content of main compound in A. spectabilis were 0.048%. Oxidative stress plays a major role Alzheimer's disease (AD) and other neurodogenerative disease. AD is major health problem and there is currently no clinically accepted treatment to cure or stop its progression. Pretreatment with luteolin 5-glucoside markedly attenuated $H_2O_2$-induced cell viability loss in a dose-dependent manner. Luteolin 5-glucoside also inhibited the formation of intracellular reactive oxygen species in SH-SY5Y. The results suggest that luteolin 5-glucoside from A. spectabilis has protective effects against oxidative stress-induced cytotoxicity, which might be a potential therapeutic compound for treating and/or preventing neurodegenerative disease implicated with oxidative stress.

• Journal of Ginseng Research
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• v.33 no.4
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• pp.249-255
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• 2009

The oxidation of glycolate to glyoxylate, a key step in plant photorespiration, is carried out by the peroxisomal flavoprotein glycolate oxidase (EC 1.1.3.15). To investigate the altered gene expression and the role of GOX in ginseng plant defense system, a cDNA clone containing a GOX gene designated as PgGOX was isolated and sequenced from Panax ginseng. The cDNA was 692 nucleotides long and have an open reading frame of 552 bp with a deduced amino acid sequence of 183 residues. A GenBank BlastX search revealed that the deduced amino acid of PgGOX shares a high degree homology with the Glycine max (95% identity). In the present study we analyzed the expression of PgGOX under various environmental stresses at different times using real time-PCR. The results showed that the expressions of PgGOX increased after various treatments involving salt, light, cold, ABA, SA, and copper treatment.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1275-1283
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• 2015

Markov chains for active tracking which assigns additional track illuminations evenly between search illuminations for a radar system are presented in this article. And some quantitative analyses on track formation range are discussed by using them. Compared with track-while-search (TWS) tracking that uses scan-to-scan correlation at search illuminations for tracking of a target, active tracking has shown the maximum improvement in track formation range of about 27.6%. It is also shown that the number and detection probability of additional track beams have impact on the track formation range. For the consideration of radar resource management at the preliminary radar system design stage, the presented analysis method can be used easily without the need of Monte Carlo simulation.