• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.10
• /
• pp.5973-5981
• /
• 2013

At present, the most common cause of cancer-related death in women is breast cancer. In a large proportion of breast cancers, there is the overexpression of human epidermal growth factor receptor 2 (HER2). This receptor is a 185 KDa growth factor glycoprotein, also known as the first tumor-associated antigen for different types of breast cancers. Moreover, HER2 is an appropriate cell-surface specific antigen for passive immunotherapy, which relies on the repeated application of monoclonal antibodies that are transferred to the patient. However, vaccination is preferable because it would stimulate a patient's own immune system to actively respond to a disease. In the current study, several bioinformatics tools were used for designing synthetic peptide vaccines. PEPOP was used to predict peptides from HER2 ECD subdomain III in the form of discontinuous-continuous B-cell epitopes. Then, T-cell epitope prediction web servers MHCPred, SYFPEITHI, HLA peptide motif search, Propred, and SVMHC were used to identify class-I and II MHC peptides. In this way, PEPOP selected 12 discontinuous peptides from the 3D structure of the HER2 ECD subdomain III. Furthermore, T-cell epitope prediction analyses identified four peptides containing the segments 77 (384-391) and 99 (495-503) for both B and T-cell epitopes. This work is the only study to our knowledge focusing on design of in silico potential novel cancer peptide vaccines of the HER2 ECD subdomain III that contain epitopes for both B and T-cells. These findings based on bioinformatics analyses may be used in vaccine design and cancer therapy; saving time and minimizing the number of tests needed to select the best possible epitopes.

• Korean Journal of Construction Engineering and Management
• /
• v.2 no.3 s.7
• /
• pp.92-100
• /
• 2001

The architectural drawing, construction project specification, etc. are included in the contract of a documents. However, construction project specification, for being documentation, is not utilized to such an extent. The reason is that specification information is difficult in collecting information in relation to the architectural drawing, material finishing list and other architectural information. Therefore, an integrated model, which can be associated with other architectural information, is needed, and a DB based on this integrated model must be established in order for it to be utilized in design, construction, and management. The DB, which is established through this process, must be updated according to modification in design, and construction. Furthermore the specification must be in document on the web for reference. Consequently in this research, the structure of integrated model has been introduced, and it has made the search and preparation of the integrated model on the Internet, using the specification information DB established for the mutual reference of DB, possible. The improvements of construction project specification standards are expected by this system. Also, it will bring about Improvements upon claim prevention, and design, construction, management qualities. Furthermore, it will make the use of information more convenient in practical business such as order agency, design service and building site.

• Korean Journal of Remote Sensing
• /
• v.35 no.6_1
• /
• pp.945-957
• /
• 2019

In this study, we propose a coarse to fine image registration method for eliminating geometric error between images over agricultural areas acquired using Unmanned Aerial Vehicle (UAV). First, images of agricultural area were acquired using UAV, and then orthophotos were generated. In order to reduce the probability of extracting outliers that cause errors during image registration, the region of interest is selected by using the metadata of the generated orthophotos to minimize the search area. The coarse image registration was performed based on the extracted tie-points using the Speeded-Up Robust Features (SURF) method to eliminate geometric error between orthophotos. Subsequently, the fine image registration was performed using tie-points extracted through the Mutual Information (MI) method, which can extract the tie-points effectively even if there is no outstanding spatial properties or structure in the image. To verify the effectiveness and superiority of the proposed method, a comparison analysis using 8 orthophotos was performed with the results of image registration using the SURF method and the MI method individually. As a result, we confirmed that the proposed method can effectively eliminated the geometric errors between the orthophotos.

• Horticultural Science & Technology
• /
• v.29 no.2
• /
• pp.116-122
• /
• 2011

In this study, we report the generation and analysis of 1,392 expressed sequence tags (ESTs) from Korean Stewartia (Stewartia koreana Nakai). A cDNA library was generated from the young leaf tissue and a total of 1,392 cDNA were partially sequenced. EST and unigene sequence quality were determined by computational filtering, manual review, and BLAST analyses. Finally, 1,301 ESTs were acquired after the removal of the vector sequence and filtering over a minimum length 100 nucleotides. A total of 893 unigene, consisting of 150 contigs and 743 singletons, was identified after assembling. Also, we identified 95 new microsatellite-containing sequences from the unigenes and classified the structure according to their repeat unit. According to homology search with BLASTX against the NCBI database, 65% of ESTs were homologous with known function and 11.6% of ESTs were matched with putative or unknown function. The remaining 23.2% of ESTs showed no significant similarity to any protein sequences found in the public database. Annotation based searches against multiple databases including wine grape and populus sequences helped to identify putative functions of ESTs and unigenes. Gene ontology (GO) classification showed that the most abundant GO terms were transport, nucleotide binding, plastid, in terms biological process, molecular function and cellular component, respectively. The sequence data will be used to characterize potential roles of new genes in Stewartia and provided for the useful tools as a genetic resource.

• Journal of Life Science
• /
• v.23 no.3
• /
• pp.406-414
• /
• 2013

The influence of a gradual increase in salinity on the diversity of aquatic bacterial in rivers was demonstrated. The denaturing gradient gel electrophoresis (DGGE) was used to analyze the bacterial community shift downstream in the Hyeongsan River until it joins the open ocean. Four water samples were taken from the river showing the salinity gradients of 0.02%, 1.48%, 2.63%, and 3.62%. The samples were collected from four arbitrary stations in 2.91 km intervals on average, and a DGGE analysis was performed. Based on the results of this analysis, phylogenetic similarity identification, tree analysis, and a comparison of each station were performed. The results strongly suggested that the response of the bacterial community response was concomitant to gradual changes in salinity, which implies that salt concentration is a major factor in shifting the microbiota in aquatic habitats. The results also imply a huge diversity in a relatively small area upstream from the river mouth, compared to that in open oceans or coastal regions. Therefore, areas downstream towards a river mouth or delta are could be good starting points in the search for new bacterial species and strains ("biotypes").

• Cartoon and Animation Studies
• /
• s.28
• /
• pp.181-208
• /
• 2012

Illusion played by mutual communication in Interactive Media Art is studied in this thesis from the narrative point of view, not from the entertaining point of view. Microscopic narrations founded in screen changes are analyzed by traditional narrative factors such as plot, point of view, narration, time creating the identity of Interactive Media Art. Traditional narrative factors in consequence have been converted to different forms after being combined with the features of Interactive Media Art. Plot has been converted to fragmentary plot and creators' point of view in many work pieces has been recreated to the outside participants' point of view. Also, creators' narrations described from various points of view has transferred to participants' narrations based on physically spacious search. Times of the present sharing with the past are observed in Interactive Media Art, too. It is concluded that audience's active participation through mutual communication makes an influence on the change of essentially traditional narrative factors. Moreover, the factors mentioned in this thesis are regarded as the unique identity of out of various kinds of modern media art.

• Journal of Distribution Science
• /
• v.13 no.12
• /
• pp.73-84
• /
• 2015

Purpose - Various social issues have arisen since the beginning of the 21st century therefore, enterprises that disregarded social issues have become unsustainable, and social enterprises have appeared to address these issues. A social enterprise is a social mission-focused organization that uses a market-based strategy and has a vulnerable business structure. To be self-sustainable, a social enterprise should make consumers aware of the value that it provides and secure its profitability through consumer consumption. From this perspective, this study investigates the relationship between perceived value (utilitarian and hedonic) and loyalty, and examines how memory and attitudes play mediating roles between perceived value and loyalty. For these purposes, the author developed a structural model consisting of several variables. In this model, perceived value, which was utilitarian and hedonic, was proposed to affect the memory and attitudes toward social enterprise products, thus increasing loyalty. Therefore, memory and attitudes were proposed as core mediating variables between perceived value and loyalty. Research design, data, and methodology - To analyze the proposed model, data were collected from 582 respondents and analyzed using SPSS 21.0 and AMOS 21.0. To test unidimensionality and the nomological validity of the measures of each construct, we employed a scale refinement procedure. The results of the reliability test with Cronbach's α and confirmatory factor analysis warranted the unidimensionality of the measures for each construct. In addition, the nomological validity of the measures was warranted from the results of the correlation analysis. The result of the overall model analysis demonstrated a good fit (χ²=529.881, df=144, χ²/df=3.680, p-value=0.000, GFI=0.905, NFI=0.948, CFI=0.961, RMR=0.036, RMSEA=0.068). Results - The findings are summarized as follows. First, the hedonic and utilitarian value of social enterprise products had positive effects on memory and attitudes. Second, the hedonic value of social enterprise products more strongly affects memory and attitudes than utilitarian value. Third, memory and attitudes had positive effects on loyalty. Lastly, memory had a stronger effect on loyalty than attitudes. Conclusions - The purchase rate of social enterprises' products increases only if the products are included in the "information search" and "alternative evaluation" processes in consumers' purchase decision-making processes. Therefore, a social enterprise must actively promote the fact that it pursues a social value, and shares both the hedonic and utilitarian values of its products. Accordingly, because hedonic value has a more significant impact on a company and attitudes, a social enterprise should develop hedonic values for product consumption, thereby leading consumers who care about value consumption to purchase its products. Moreover, a social enterprise must maintain good memories and attitudes for consumers because memory does not change over time, although attitude does. The limitations of this study and suggestions for future research are as follows. This study viewed "consumer loyalty" as the success factor of social enterprises, thereby considers an "increase in sales" as the success factor. Therefore, in future studies, diverse factors, including social contribution and word-of-mouth intention, should be regarded. In addition, future studies need to thoroughly review and make assurances about the relationship between memory and attitude.

• The KIPS Transactions:PartD
• /
• v.15D no.4
• /
• pp.451-462
• /
• 2008

Recently, with the advent of applications using locations of moving objects, it becomes crucial to develop efficient index schemes for spatio-temporal databases. The $TPR^*$-tree is most popularly accepted as an index structure for processing future-time queries. In the $TPR^*$-tree, the future locations of moving objects are predicted based on the CBR(Conservative Bounding Rectangle). Since the areas predicted from CBRs tend to grow rapidly over time, CBRs thus enlarged lead to serious performance degradation in query processing. Against the problem, we propose a new method to adjust CBRs to be tight, thereby improving the performance of query processing. Our method examines whether the adjustment of a CBR is necessary when accessing a leaf node for processing a user query. Thus, it does not incur extra disk I/Os in this examination. Also, in order to make a correct decision, we devise a cost model that considers both the I/O overhead for the CBR adjustment and the performance gain in the future-time owing to the CBR adjustment. With the cost model, we can prevent unusual expansions of BRs even when updates on nodes are infrequent and also avoid unnecessary execution of the CBR adjustment. For performance evaluation, we conducted a variety of experiments. The results show that our method improves the performance of the original $TPR^*$-tree significantly.

• Journal of Digital Convergence
• /
• v.16 no.7
• /
• pp.107-116
• /
• 2018

One of the key mission is to develop and prompte the use National Competency Standards, which is defined to be the systemization of competencies(knowledge, skills and attitudes) required to perform duties at the workplace by the nation for each industrial sector and level. This provides the basis for the design of training and detailed specifications for workplace assessment. To promote the data-driven service improvement, the commercial product Splunk was introduced, and has grown to become an extremely useful platform because it enables the users to search, collect, and organize data in a far more comprehensive, far less labor-intensive way than traditional databases. Leveraging Splunk's built-in data visualization and analytical features, HRD Korea have built custom tools to gain new insight and operational intelligence that organizations have never had before. This paper analyzes the NCS homepage. Concretely, applying Splunk in creating visualizations, dashboards and performing various functional and statistical analysis and structure without Web development skills. We presented practical use and implications through case studies.

• Journal of KIISE:Databases
• /
• v.28 no.3
• /
• pp.384-394
• /
• 2001

In this paper, we propose AST-AET(Average valid Start Time-Average valid End Time) data migration strategy based on the storage structure where temporal data is divided into a past segment, a current segment, and a future segment. We define AST and AET which are used in AST-AET data migration strategy and also define entity versions to be stored in each segment. We describe methods to compute AST and AET, and processes to search entity versions for migration and move them. We compare average response times for user queries between AST-AET data migration strategy and the existing LST-GET(Least valid Start Time-Greatest valid End Time) data migration strategy. The experimental results show that, when there are no LLTs(Long Lived Tuples), there is little difference in performance between the two migration strategies because the size of a current segment is nearly equal. However, when there are LLTs, the average response time of AST-AET data migration strategy is smaller than that of LST-GET data migration strategy because the size of a current segment of LST-GET data migration strategy becomes larger. In addition, when we change average interarrival times of temporal queries, generally the average response time of AST-AET data migration strategy is smaller than that of LST-GET data migration strategy.