• Journal of the Korea Computer Graphics Society
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• v.25 no.2
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• pp.19-29
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• 2019

We develop a complete system that includes data collection, signal processing, and real-time interaction for effective neurofeedback training. Our system supports a sophisticated technique to find threshold values which are quite important for effective neurofeedback system. A therapist specifies a target success rate of positive feedback, allowable error and time. The system computes a current success rate and compare it with the target one. If the difference between two rates exceeds the allowable error for allowable time, we find an optimum threshold value to obtain the target success rate by using numerical optimization technique. We conduct several experiments by varying input parameters: target success rate, allowable error and time, and demonstrate the effectiveness of our technique by showing the desired target success rate is stably obtained and systematically controlled by input parameters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.20-25
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• 2021

The target-object classification method was implemented using a deep-learning-based detection model in real-time images. The object detection model was a deep-learning-based detection model that allowed extensive data collection and machine learning processes to classify similar target-objects. The recognition model was implemented by changing the processing structure of the detection model and combining developed the vision-processing module. To classify the target-objects, the identity and similarity were defined and applied to the detection model. The use of the recognition model in industry was also considered by verifying the effectiveness of the recognition model using the real-time images of an actual soccer game. The detection model and the newly constructed recognition model were compared and verified using real-time images. Furthermore, research was conducted to optimize the recognition model in a real-time environment.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.287-295
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• 2024

This study examined the relationship between target advocacy, work values, and person-centered care among nursing students, and attempted to provide basic data for the development of educational materials to improve fundamental ideology for nursing students. The data collection period was from July 1 to July 31, 2023. The questionnaires of 172 nursing students who were enrolled in universities located in cities D and S and agreed to participate in this study were analyzed. The results of the analysis showed that the influential factors on nursing students' person-centered care were target advocacy and work values, and the explanatory power of these variables was 23.5%. In conclusion, in order to improve nursing students' competence in person-centered care, it is necessary to identify the extent of their work values as nurses, compare and develop programs for the formation of positive work values, and improve their awareness of target advocacy, which is the fundamental philosophy of nursing.

• Journal of Industrial Convergence
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• v.22 no.3
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• pp.155-163
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• 2024

Nursing students, as prospective nurses, are expected to act as child abuse reporters and advocates for child targets. Therefore, this study aimed to provide a basis for developing a child abuse prevention education program for nursing students by determining the extent of nursing students' perceived target vulnerability and target advocacy, child rights awareness, and intention to report child abuse, and analyzing the relationships among the variables. This study is a descriptive survey study to identify the effects of target vulnerability, target advocacy, and child rights awareness on intention to report child abuse among 154 nursing students, and the data collection period was from July 3 to July 31, 2023, and the collected data were analyzed using SPSS 25.0 program. As a result of identifying the influential factors on nursing students' intention to report child abuse, child abuse education, championing social justice as a sub-variable of target advocacy, and target vulnerability, the explanatory power of these variables was 35.8%. Based on the results of this study, it is suggested that it is necessary to increase activities through the development and application of simulation education based on actual clinical cases in order to increase nursing students' interest in and education about child abuse.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.3
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• pp.56-62
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• 2010

Weakly electric fish uses active sensing to detect the distortion of self-generated electric field in the underwater environments. The active electrolocation makes it possible to identify target objects from the surroundings without vision in the dark sea. Weakly electric fish have many electroreceptors over the whole body surface of electric fish, and sensor readings from a collection of electroreceptors are represented as an electric image. Many researchers have worked on finding features in the electric image to know how the weakly electric fish identify the target object. In this paper, we suggest a new mechanism of how the electrolocation can recognize a given target object among object plants. This approach is based on the differential components of the electric image, and has a potential to be applied to the underwater robotic system for object localization.

• Herbal Formula Science
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• v.32 no.1
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• pp.11-28
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• 2024

Objectives : GunRyeong-Tang(GRT) is a traditional herbal prescription that combines Oryeongsan and Sagunja-tang. This study employed network analysis methods on the components of GRT and target genes related to diabetes complications to predict the improvement effects of GRT on diabetes complications. Methods : The collection of active compounds of GRT and related target genes involved the utilization of public databases and the PubChem database. We selected diabetes complication-related genes using GeneCards and confirmed their correlation through comparative analysis with the target genes of GRT. We constructed a network using Cytoscape 3.9.1 and conducted topological analysis. To predict the mechanism, we performed functional enrichment analysis based on Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Results : Through network analysis, 234 active compounds and 1361 related genes were collected from GRT. A total of 9,136 genes related to diabetes complications were collected, and 1,039 target genes overlapping with the components of GRT were identified. The core genes of this network were TP53, INS, AKT1, ALB, and EGFR. In addition, GRT significantly reduced the H9c2 cell size and the expression of myocardial hypertrophy biomarkers (ANP, BNP), which were increased by high glucose (HG). Conclusions : Through this study, we were able to predict the activity and mechanism of action of GRT on diabetes and diabetic complications, and confirmed the potential of GRT as a treatment for diabetes complications through the effect of GRT on improving myocardial hypertrophy for diabetic cardiomyopathy.

• International Journal of Oral Biology
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• v.38 no.2
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• pp.43-49
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• 2013

The objective of this study was to develop PCR primers that are specific for Streptococcus sanguinis, Streptococcus parasanguinis, and Streptococcus gordonii. We designed the S. sanguinis-, S. parasanguinis-, and S. gordonii-specific primers, Ssa21-F3/Ssa21-R2, Spa17-F/Spa17-R, and Sgo41-F1/Sgo41-R1 respectively, based on the nucleotide sequences of the Ssa21, Spa17, and Sgo41 DNA probes that were screened using inverted dot blot hybridization (IDBH). The species-specificity of these primers was assessed against 43 strains of mitis group streptococci, including clinical strains of S. sanguinis, S. parasanguinis, and S. gordonii. The resulting PCR data revealed that species-specific amplicons had been obtained from all strains of the target species tested, and that none of these amplicons occurred in any other strains from other species. These results suggest that the Ssa21-F3/Ssa21-R2, Spa17-F/Spa17-R, and Sgo41-F1/Sgo41-R1 primers may be useful in detecting S. sanguinis, S. parasanguinis, and S. gordonii at the species level, respectively.

• Journal of Information Processing Systems
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• v.5 no.3
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• pp.159-166
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• 2009

As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

• Aerospace Engineering and Technology
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• v.7 no.1
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• pp.223-228
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• 2008

In order to acquire the images requested by users, it is very important to calculate mission schedule parameters such as imaging execution time and attitude tilt angle accurately. These parameters are based on orbit prediction. This paper describes the accuracy of orbit propagation for image planning. The orbit prediction data from PSS and MAPS has a certain discrepancy due to different orbit propagator. It is necessary for mission planner to confirm this value during mission planning phase. The pointing error which means the difference between target center and real image received is calculated and analyzed using KOMPSAT-2 image data.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.40-51
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• 2019

Until now, records re-enacting social memories have not been main targets for preservation and management in Korea. However, people have recently begun to focus on forming and maintaining their memories because these personalized records have started to be recognized as social and political issues. In this respect, this study aims to find out how to preserve social memories by comparing various global open archives. For achieving our research goal, we first established the definition of social memories and records and revealed their characteristics. After then, we selected representative open archives' websites to examine their collection polices and compare them according to several criteria. As a result, we distilled insights based on similarities and differences of each archive and discussed considerations in preserving social memories consisting of three phases: analyzing target social memories, establishing collection policies, and collecting actual records. This study has significance in that it examines the characteristics of social memories and records and also suggests preliminary findings for advanced research to develop practical tools for social records management and archives.