• Journal of IKEEE
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• v.5 no.1 s.8
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• pp.111-120
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• 2001

VC merging involves distinguishing cells from an identical merged VC label. Various approaches have been proposed to help this identification process. However, most of them incur additional buffering, protocol overhead and/or variable delay. They make the provision of QoS difficult to achieve. So it was proposed a merge capable scheduler to support VC-merging (VCMS). However, in situations where all VCs are to be merged or the incoming traffic load is very low, it could happen that there are not enough non-merging cells to snoop. In this situation the scheduler uses special control cells to fill the empty time slots out. Too many control cells can cause high cell loss ratio and an additional packet transfer delay. To overcome the drawbacks, we propose a Sequence Skipping(SS) method where the sequencers skip the empty queues and insert SS cells. We show SS method is suitable for VC-merging and can reduce the cell loss ratio and the mean packet transfer delay through simulations.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.146-155
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• 2000

This paper describes a 4-state bar code called HANGUL 4 ST that has been specifically designed for automatic processing of the letter mails, A HANGUL 4 ST bar code is a necessary data base that is applied data capture and data carrier with it all the information necessary for sorting, the amount capture for transportation of mail items, and valued-added services such as indicia, tracking and trace. The 4-state bar code information contents are composed of a postal code, delivery point, customer information including customer identification number and name, and parity bits for error detect and correct. The data density capability of HANGUL 4 St allows all useful sorting data and customer data to be encoded on one label. This supports better automatic processing in mail items, higher level of customer service and more efficient operation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.85-94
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• 2010

Many RFID systems use dynamic slotted ALOHA to identify the label information of the RFID tags. One of the key problems in the RFID system is how to estimate the number of RFID tags up to the desired level of accuracy. In this paper, we present the framework of tag estimation algorithm for the collision-oblivious (CO) reader which can only decide whether the tag response is successful or not. Thus, the CO reader must rely on the success estimator to predict the RFID tag population. We propose two estimation algorithms to predict the number of RFID tags, named the memoryless success estimator (MSE) and the intersection-based success estimator (ISE). The MSE considers only the estimate obtained at the current inventory round, while the ISE finds an appropriate intersection interval of the existing estimates collected at every inventory round. Through the simulation results, we demonstrate that the ISE is a fast, accurate, and controllable estimator whose performance is close to that of the collision/idle estimators.

• Journal of the Korean Society for Railway
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• v.18 no.2
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• pp.149-156
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• 2015

It is necessary to determine real path for urban railway users in order to allocate revenues between urban railway organizations. Out of several algorithms used to determine optimal routes, the k-path algorithm based on link-label has been utilized. However, this k-path algorithm has certain flaws. For example, optimal route can change depending on the travel and walking time, transfer penalty, and so on. Also, this algorithm cannot take into account the characteristics of users, who prefer express train to normal trains. In this paper, an algorithm is proposed to determine one single optimal route based on the traffic card data. This method also can search for an optimal path in conjunction with the railway timetable.

• Journal of Fashion Business
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• v.19 no.5
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• pp.139-156
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• 2015

The purpose of this study is to investigate various information relating to research on the dimensions of clothing used in the sale of products via the internet that used to target global SPA((Specialty Store Retailer of Private Label Apparel) brands sold in Korea. A total of 12 SPA brands including seven global SPA brands and five national. SPA brands were surveyed in this study. Brands were chosen net sales and consumer preferences the last three years. In all SPA brands, literal size designation such as S, M, L and numeric size designation such as 0, 2, 4 or 32, 34, 36 etc. were mixed, but in case of Jean, the size codes mark waist circumference were dominant. European size codes were more common in case of European brands while literal codes were more dominantly used for American size codes with in the US brands. By reviewing the measurement information of the body and product size, the product measurement methods of UNIQLO, FOREVER 21 and TOPTEN were much more accountable and excellent than other brands. However, most of the others didn't offer proper information such as pictograms or figures about measurement methods relating body sizes and product sizes. In addition, most of global SPA brands offered size conversion chart which consumers could reference, however of none of the national SPA brands offered a conversion size chart on their website. Regardless of the type of clothing, the coverage of clothing size was higher than in global SPA brands such as H&M GAP compared to national SPA brands. In particular, 8seconds did not present apparel size ranges that fit consumers' individual clothes sizes.

• Journal of Microbiology and Biotechnology
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• v.13 no.4
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• pp.509-516
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• 2003

A model system for the immnunochemical detection of Escherichia coli O157:H7 using a combined immunomagnetic separation (IMS) and test-strip liposome immunoassay (LIA) procedure was developed. Immunomagnetic beads coated with anti-E. coli O157 IgG antibodies were used to separate the E. coli O157 (including the H7 serotype) from culture. Immunoliposomes, whose surface was conjugated to goat anti-E. coli O157:H7 IgG and which encapsulated the marker dye, sulforhodamine B, were used as a detection label. The test strip, onto which antibodies to goat IgG were immobilized, was the immunosensor capturing immunoliposomes that did not bind to E. coli O157:H7 on the immunomagnetic bead-E. coli O157:H7 complexes. In experiments, pure cell culture suspensions of $10^5 E.$ coli O157:H7 organisms per ml produced a measurable signal inhibition, whereas a weak yet detectable signal inhibition occurred with $10^3CFU/ml$. The inhibition signals increased, when the incubation time for IMS was extended to 90 min and higher IgG-tag density (0.4mol%) was used on the liposomes. With 0.2 and 0.4mol% IgG-tagged liposomes, the IMS-LIA procedure showed more improved signal inhibitions than those of a direct (no IMS) LIA. The combined assay, which measures the instantaneous signal from immunoliposomes, can be completed within 90 min, making it significantly faster than conventional plating methods and enzyme-linked immunosorbent assay (ELISA). Accordingly, it is quite feasible to use the combined immunoassay format of IMS and dye-loaded immunoliposomes for the detection of E. coli O157:H7.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.170-172
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• 2017

Due to the technological advances in modern society, the distinction between mask and authenticity is becoming very difficult. to solve these problems, this paper describes a high-level improvement of the image processing technique of the code authentication system which discriminates the good and the bad by using the color information and the dot information. Labels were given to each genuine article and the article, which can not be distinguished from each other. In the proposed method, image matching of labels is performed using the opencv library, and genuine and good products are discriminated by using the halftone dots and w dot dots of each label. In this paper, the proposed method stores genuine and good labels on the server and compares them with the user's labels to determine genuine products.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.11
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• pp.1133-1144
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• 2019

Recently, the amount of image on the Internet has rapidly increased, due to the advancement of smart devices and various approaches to effective image retrieval have been researched under these situation. Existing image retrieval methods simply detect the objects in a image and carry out image retrieval based on the label of each object. Therefore, the semantic gap occurs between the image desired by a user and the image obtained from the retrieval result. To reduce the semantic gap in image retrievals, we connect the module for multiple objects classification based on deep learning with the module for human behavior classification. And we combine the connected modules with a behavior ontology. That is to say, we propose an image retrieval system considering the relationship between objects by using the combination of deep learning and behavior ontology. We analyzed the experiment results using walking and running data to take into account dynamic behaviors in images. The proposed method can be extended to the study of automatic annotation generation of images that can improve the accuracy of image retrieval results.

• Molecules and Cells
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• v.44 no.7
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• pp.500-516
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• 2021

Cardiac hypertrophic signaling cascades resulting in heart failure diseases are mediated by protein phosphorylation. Recent developments in mass spectrometry-based phosphoproteomics have led to the identification of thousands of differentially phosphorylated proteins and their phosphorylation sites. However, functional studies of these differentially phosphorylated proteins have not been conducted in a large-scale or high-throughput manner due to a lack of methods capable of revealing the functional relevance of each phosphorylation site. In this study, an integrated approach combining quantitative phosphoproteomics and cell-based functional screening using phosphorylation competition peptides was developed. A pathological cardiac hypertrophy model, junctate-1 transgenic mice and control mice, were analyzed using label-free quantitative phosphoproteomics to identify differentially phosphorylated proteins and sites. A cell-based functional assay system measuring hypertrophic cell growth of neonatal rat ventricle cardiomyocytes (NRVMs) following phenylephrine treatment was applied, and changes in phosphorylation of individual differentially phosphorylated sites were induced by incorporation of phosphorylation competition peptides conjugated with cell-penetrating peptides. Cell-based functional screening against 18 selected phosphorylation sites identified three phosphorylation sites (Ser-98, Ser-179 of Ldb3, and Ser-1146 of palladin) displaying near-complete inhibition of cardiac hypertrophic growth of NRVMs. Changes in phosphorylation levels of Ser-98 and Ser-179 in Ldb3 were further confirmed in NRVMs and other pathological/physiological hypertrophy models, including transverse aortic constriction and swimming models, using site-specific phospho-antibodies. Our integrated approach can be used to identify functionally important phosphorylation sites among differentially phosphorylated sites, and unlike conventional approaches, it is easily applicable for large-scale and/or high-throughput analyses.

• Analytical Science and Technology
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• v.32 no.5
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• pp.185-195
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• 2019

Over the past decades, chiral switch of the proton pump inhibitors (PPIs) has been received widespread attention in therapeutic advantages as well as pharmaceutical analysis. In present study, the influence of cyclodextrins (CDs) on the chiral separation of four common PPIs (lansoprazole, omeprazole, pantoprazole, and rabeprazole) was investigated. The results demonstrated that capillary electrophoresis (CE) with dual CDs as a chiral selector system is a possible and promising method for the enantioseparation of these PPIs. Rabeprazole, which is the most challenging and acid-labile candidate among four PPIs, was selected for further development of the technique. To optimize CE condition, the effects of capillary parameters and background electrolytes on the enantioseparation were investigated. Finally, the best chiral separation was acheived by using sulfobutyl ether-${\beta}$-CD, and ${\gamma}$-CD as dual chiral selectors. The developed CE method not only provided the effective chiral separation but also showed the good stability of rabeprazole. The proposed method was successfully validated according to the International Conference on Harmonization guideline and effectively applied to determine rabeprazole enantiomers in commercial rabeprazole tablets, with recoveries ranging from 97.17 % to 103.29 % of the label content.