• International Journal of Industrial Entomology and Biomaterials
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• v.17 no.2
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• pp.229-234
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• 2008

We used serial analysis of gene expression (SAGE) approach to derive a profile of expressed genes of the posterior silk glands (PSG) and to create a reference for understanding gene cluster related to the mechanism of silk protein synthesis in the silkworm, Bombyx mori. We constructed a 3' SAGE library from the PSG of the fifth instar larvae of the silkworm. In total we obtained 2,406 SAGE tags, of which 682 were unique tags. Sorted by tag count number, 27 (4%) unique tags were significantly more abundant genes (ten or more times), whereas 445 (65%) unique tags were detected as single copies. The annotation of 682 unique SAGE tags revealed that 462 (68%) of the SAGE tag sequences represented known genes, whereas 220 (32%) of the tag sequences had no matches in SAGE map and silkworm EST databases. Of the 682 SAGE tags, the most abundant tag sequences were that of the fibroin light chain gene and the silk protein P25. In addition, we compared two relative abundance results of the SAGE and the EST approaches to verify whether their transcript quantitative aspects are significant or not. The comparative results of relative abundances of the fibroin H-, L- chain and P25 glycoprotein genes indicated that the quantitative approach based on SAGE tags is effective for quantitative cataloging and comparison of expressed genes in same organs. The SAGE tag information reported in this study would be useful for researchers in the field to analyze genes associated with silk processing mechanisms of insects.

• Journal of fish pathology
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• v.15 no.2
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• pp.83-92
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• 2002

EST analysis was performed to identify stress-responsive and immune-related genes from mud loach (Misgurnus mizolepis), cDNA libraries were constructed with liver, intestine and kidney tissues and randomly chosen clones (216 for liver, 198 for intestine and 224 for kidney) were subjected to automated sequence analysis. Of 638 clones sequenced in totlal, approximalely 25% of ESTs was novel sequences (no match to GenBank) or sequences with high homology to hypothrtical/unknown genes. Several potential stress-responsive biomarker and/or immure-related genes were identified in all the tissues examined. It included lectin, MHC class I/II proteins, proteinase inhibitors, superoxide dismulase, catalase, glutathionc-S. transferase, heat-shock protein, warm temperature acclimation protein, complements, methylrransferasc, zinc finger proteins, macrophage maturation associated protein, and others. This information will offer new possibilities as fundamental baseline data for the molecular genetics and breeding of this species with an emphasis on the development of stress. (and disease)-resistsnt fish.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.19-33
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• 2013

In this research, a proposed Dynamic Virtual Ontology using Tags (DyVOT) supports dynamic search of resources depending on user's requirements using tags from social web driven resources. It is general that the tags are defined by annotations of a series of described words by social users who usually tags social information resources such as web-page, images, u-tube, videos, etc. Therefore, tags are characterized and mirrored by information resources. Therefore, it is possible for tags as meta-data to match into some resources. Consequently, we can extract semantic relationships between tags owing to the dependency of relationships between tags as representatives of resources. However, to do this, there is limitation because there are allophonic synonym and homonym among tags that are usually marked by a series of words. Thus, research related to folksonomies using tags have been applied to classification of words by semantic-based allophonic synonym. In addition, some research are focusing on clustering and/or classification of resources by semantic-based relationships among tags. In spite of, there also is limitation of these research because these are focusing on semantic-based hyper/hypo relationships or clustering among tags without consideration of conceptual associative relationships between classified or clustered groups. It makes difficulty to effective searching resources depending on user requirements. In this research, the proposed DyVOT uses tags and constructs ontologyfor effective search. We assumed that tags are extracted from user requirements, which are used to construct multi sub-ontology as combinations of tags that are composed of a part of the tags or all. In addition, the proposed DyVOT constructs ontology which is based on hierarchical and associative relationships among tags for effective search of a solution. The ontology is composed of static- and dynamic-ontology. The static-ontology defines semantic-based hierarchical hyper/hypo relationships among tags as in (http://semanticcloud.sandra-siegel.de/) with a tree structure. From the static-ontology, the DyVOT extracts multi sub-ontology using multi sub-tag which are constructed by parts of tags. Finally, sub-ontology are constructed by hierarchy paths which contain the sub-tag. To create dynamic-ontology by the proposed DyVOT, it is necessary to define associative relationships among multi sub-ontology that are extracted from hierarchical relationships of static-ontology. The associative relationship is defined by shared resources between tags which are linked by multi sub-ontology. The association is measured by the degree of shared resources that are allocated into the tags of sub-ontology. If the value of association is larger than threshold value, then associative relationship among tags is newly created. The associative relationships are used to merge and construct new hierarchy the multi sub-ontology. To construct dynamic-ontology, it is essential to defined new class which is linked by two more sub-ontology, which is generated by merged tags which are highly associative by proving using shared resources. Thereby, the class is applied to generate new hierarchy with extracted multi sub-ontology to create a dynamic-ontology. The new class is settle down on the ontology. So, the newly created class needs to be belong to the dynamic-ontology. So, the class used to new hyper/hypo hierarchy relationship between the class and tags which are linked to multi sub-ontology. At last, DyVOT is developed by newly defined associative relationships which are extracted from hierarchical relationships among tags. Resources are matched into the DyVOT which narrows down search boundary and shrinks the search paths. Finally, we can create the DyVOT using the newly defined associative relationships. While static data catalog (Dean and Ghemawat, 2004; 2008) statically searches resources depending on user requirements, the proposed DyVOT dynamically searches resources using multi sub-ontology by parallel processing. In this light, the DyVOT supports improvement of correctness and agility of search and decreasing of search effort by reduction of search path.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1034-1039
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• 2005

SALM(Simultaneous localization and mapping) and AI(Artificial intelligence) have been active research areas in robotics for two decades. In particular, localization is one of the most important tasks in mobile robot research. Until now expensive sensors such as a laser sensor have been used for mobile robot localization. Currently, the proliferation of RFID technology is advancing rapidly, while RFID reader devices, antennas and tags are becoming increasingly smaller and cheaper. So, in this paper, the smart floor using passive RFID tags is proposed and, passive RFID tags are mainly used for identifying location of the mobile robot in the smart floor. We discuss a number of challenges related to this approach, such as tag distribution (density and structure), typing and clustering. In the smart floor using RFID tags, the localization error results from the sensing area of the RFID reader, because the reader just knows whether the tag is in the sensing range of the sensor and, until now, there is no study to estimate the heading of mobile robot using RFID tags. So, in this paper, two algorithms are suggested to. The Markov localization method is used to reduce the location(X,Y) error and the Kalman Filter method is used to estimate the heading($\theta$) of mobile robot. The algorithms which are based on Markov localization require high computing power, so we suggest fast Markov localization algorithm. Finally we applied these algorithms our personal robot CMR-P3. And we show the possibility of our probability approach using the cheap sensors such as odometers and RFID tags for mobile robot localization in the smart floor

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1797-1801
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• 2005

SLAM(Simultaneous localization and mapping) and AI(Artificial intelligence) have been active research areas in robotics for two decades. In particular, localization is one of the most important issues in mobile robot research. Until now expensive sensors like a laser sensor have been used for the mobile robot's localization. Currently, as the RFID reader devices like antennas and RFID tags become increasingly smaller and cheaper, the proliferation of RFID technology is advancing rapidly. So, in this paper, the smart floor using passive RFID tags is proposed and, passive RFID tags are mainly used to identify the mobile robot's location on the smart floor. We discuss a number of challenges related to this approach, such as RFID tag distribution (density and structure), typing and clustering. In the smart floor using RFID tags, because the reader just can senses whether a RFID tag is in its sensing area, the localization error occurs as much as the sensing area of the RFID reader. And, until now, there is no study to estimate the pose of mobile robot using RFID tags. So, in this paper, two algorithms are suggested to. We use the Markov localization algorithm to reduce the location(X,Y) error and the Kalman Filter algorithm to estimate the pose(q) of a mobile robot. We applied these algorithms in our experiment with our personal robot CMR-P3. And we show the possibility of our probability approach using the cheap sensors like odometers and RFID tags for the mobile robot's localization on the smart floor.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.225-249
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• 2020

The purpose of this study is to identify and systematize various facet elements required by users in fiction search situations from book tags to improve the fiction search environment. Based on the Ranganathan's PMEST formula, the basic facet system of the fiction was defined as 1) the personality that forms the fiction material, 2) the content and external characteristics that compose the fiction, 3) the reader interaction with books, 4) spatial information related to fiction and reading activities, and 5) time information related to fiction and reading activities. Out of approximately 310,000 tags assigned to 7,174 fiction, 3,730 core tags were selected and content-analyzed. As a result, various attributes were systematized around the top 25 categories of the fiction facets. The results of this study can be applied to facet navigation of OPAC and fiction DB in the future.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.203-230
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• 2010

This study analyzed the development and growth of folksonomy by examining tags associated with 40 bestsellers on LibraryThing.com in 6-month intervals. It was found that tag values do not decrease but grow in terms of quantity and quality. Accordingly, we examined the major significances of the tags and their potential utilization as an expression of subjects. Our findings were as follows. First, the motivations for tagging can be categorized into personal information for search purposes, self-fulfillment such as sense of achievement, display of emotion and sharing of one's experience with others, or an altruistic objective that emphasizes sociality with a desire that one's actions might provide social benefits. According to our analysis, 74.12% of tags had a social motivation. Second, the total number of tags and the frequency of usage increased with time. Third, the categories that showed a high increase in tag usage were dates of publication and reading, key words, main characters, and book reviews. Tags related to subjects had the highest ratio. Fourth, among Library of Congress Subject Headings (LCSH), multiple genres, key words and main characters were assigned to books, and specific key words and other properties were added as time progressed. There was also a slight increase in the number of tags consistent with LCSH. Fifth, we found that key tags could serve as a compilation of terms that reflects the knowledge base of the corresponding era. Thus, folksonomy should be continuously monitored for its quantitative and qualitative development of the tags to make improvements on its formative disadvantages, and identify internal semantic significance, be actively utilized in conjunction with taxonomy as a flexible compilation of terms that incorporate the history of a specific era.

• Korean Journal of Oriental Medicine
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• v.12 no.3 s.18
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• pp.31-47
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• 2006

Nowadays Korean governments use Information Technology to improve the quality of life for a people. One of these tries is building the Food Tracing System based on Information Technology. Koreans have big concern about food that is good for health. The Food Tracing System means that the system can follows, traces, and records every steps of production and delivery of food and its ingredient. And this process should be identified and grouped by using tags, marks, and other methods. For example, producer of ingredient, processing steps of food, delivered place could be traced. In addition to food, medical herbs need consumer's trust in production and delivery. To trace and prosecute contaminated medical herbs, medical herbs also need this kind of Tracing System based on Information Technology. This study shows current medical herbs tracing ways and RFID(Radio Frequency IDentification) technology trend. As preceding study for future RFID based medical herbs tracing system, this study suggests the building plan and scenario of the Medical Herbs Tracing System. The determination of the main body for sticking RFID Tags is very important to design for RFID Traceability System. In this study, the starting point of information to medical herbs is an inspection agency. The Medical Herbs to product domestically or import moved to an inspection agency. An inspection agency bond the RFID Tags to packing of the Medical Herbs after examining the a basic its component. At the same time inspector give the information of production or importation to the Tags. This Tags are moved for logistical process to end point, the Korean medicine agency. The customer confirmed the traceability and certification information of the Medical Herbs. For success tracing of medical herbs, institutional support and close cooperation between related organizations is necessary besides good system design.

• The Journal of Society for e-Business Studies
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• v.12 no.1
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• pp.25-40
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• 2007

As memory-extended RFID tags are recently developed, various types of item identification structures can be stored in the tags. In this paper, we propose a new national product identifier(NPI) which accepts not only ISO item identification standards but also the memory capacity of ISO tags. First of all, item identification structures of ISO/IEC 15459 and EPC, and memory structures of ISO/IEC 18000-6C and EPC tags are analyzed. Based on these analyses, the NPI currently used is analyzed and its problems are described from the viewpoint of standardization. To overcome the problems, a new NPI structure suitable for ISO/IEC 15459 is proposed. Finally, data related to the NPI is designed for encoding to tags.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.47-53
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• 2011

The detection process of defective tags in most of Korean domestic RFID manufacturing companies is treated by on-hand processing after the job of chip bonding, so it has been requested to reduce the time and cost for manufacturing of RFID tags. Therefore, in this paper, we implement the system to perform the detection of defective tags after the process of chip bonding, and so provide the basis of software to establish the foundation of automation system for the detection of defected RFID tags which is requested in the related Korean domestic industrial field. We have developed the system by using UML in modeling phase and JAVA in implementation phase to reduce the cost of development of program and make it easy to maintain. The developed system in this paper shows the very enhanced performance in processing speed and perfect detection rate of defective tags, comparing to the method of on-hand processing.