• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1816-1821
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• 2016

Protein secondary structure is important for the study of protein evolution, structure and function of proteins which play crucial roles in most of biological processes. This paper try to effectively extract protein secondary structure information from the large protein structure database in order to predict the protein secondary structure of a query protein sequence. To find more remote homologous sequences of a query sequence in the protein database, we used PSI-BLAST which can perform gapped iterative searches and use profiles consisting of homologous protein sequences of a query protein. The secondary structures of the homologous sequences are weighed combined to the secondary structure prediction according to their relative degree of similarity to the query sequence. When homologous sequences with a neural network predictor were used, the accuracies were higher than those of current state-of-art techniques, achieving a Q3 accuracy of 92.28% and a Q8 accuracy of 88.79%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.82-92
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• 2007

This paper describes a novel global shape (GS) feature based on radial basis function network (RBFN) and the extraction method of the proposed feature for 3D face recognition. RBFN is the weighted sum of RBfs, it well present the non-linearity of a facial shape using the linear combination of RBFs. It is the proposed facial feature that the weights of RBFN learned by the horizontal profiles of a face. RBFN based feature expresses the locality of the facial shape even if it is GS feature, and it reduces the feature complexity like existing global methods. And it also get the smoothing effect of the facial shape. Through the experiments, we get 94.7% using the proposed feature and hidden markov model (HMM) to match the features for 100 gallery set with those for 300 test set.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.3B
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• pp.314-324
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• 2004

Recently, high-speed internet subscribers have grown continuously, and reached up to 10 millions. But existing network management that is responsible only for user access is confronted with many difficulties, since user access network(xDSL, Cable, B-WILL, and so on) has diversified and value added wired/wireless contents service has developed. In this paper propose the Agent based Inter Networking platform as object-oriented hierarchical system that can provide various service such as access QoS(Quality of Service), customized application service and security service according to user on demand. This system has divided into two parts(user agent and agent management system ＆ local and central management systems). Management system periodically receive status information such as bandwidth, download speed, delay, current service, and so on, and process them, then build a policy based on processed information. According to personal user profile that is generated by this policy, the customized service can be provided for users. And This system adopt the object-oriented modeling in case that system migration and integration, and implement a system that is robust and stable for security through hierarchical server system.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.10-19
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• 2010

The progress of computers and Web has given rise to a rapid increase of the quantity of the useful information, which is making the demand of recommender systems widely expanding. Like in other domains, a recommender system in a digital library is important, but there are only a few studies about the recommender system of research papers, Moreover none is there in korea to our knowledge. In the paper, we seek for a way to develop the NDSL recommender system of research papers based on the survey of related studies. We conclude that NDSL needs to modify the way to collect user's interests from explicit to implicit method, and to use user-based and memory-based collaborative filtering mixed with contents-based filtering(CF). We also suggest the method to mix two filterings and the use of personal ontology to improve user satisfaction.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.655-664
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• 2020

Free viewpoint image synthesis technology is one of the important technologies in the MPEG-I (Immersive) standard. RVS (Reference View Synthesizer) developed by MPEG-I and in use in MPEG group is a DIBR (Depth Information-Based Rendering) program that generates an image at a virtual (intermediate) viewpoint from multiple viewpoints' inputs. RVS uses the mesh surface method based on computer graphics, and outperforms the pixel-based ones by 2.5dB or more compared to the previous pixel method. Even though its OpenGL version provides 10 times speed up over the non OpenGL based one, it still shows a non-real-time processing speed, i.e., 0.75 fps on the two 2k resolution input images. In this paper, we analyze the internal of RVS implementation and modify its structure, achieving 34 times speed up, therefore, real-time performance (22-26 fps), through the 3 key improvements: 1) the reuse of OpenGL buffers and texture objects 2) the parallelization of file I/O and OpenGL execution 3) the parallelization of GPU shader program and buffer transfer.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.40-50
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• 2003

Ontology is the artifacts for representing the truth or the states of objects by defining objects and their relations. In this paper, we propose an agent that classifies Web documents and provides personalized information towards user`s information needs using ontology. the agent uses ontology in which semantic relations on Web documents are represented in ta hierarchical form to classify Web documents. In this paper, ontology consists of concepts, features(describing concepts), relations(among concepts) and constraints(among elements in a feature). The agent can capture user's information needs efficiently by using ontology and assist Web navigation by using users profiles and the results of identification of semantic relations in Web documents. Also, the agent obtains Web documents by a look-ahead search and represents them as concepts, therefore users can understand them easily by receiving recommendations expressed in the form of high-level concepts.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1269-1274
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• 2019

The paper presents a design of simple four-element microstrip-patch array antenna that is suitable for 5G applications. The proposed array consists of four rectangular microstrip patch elements with semicircular etches made on both sides of each elements. The antenna is fed using the combination of series and corporate feeding networks. The size of the ground is also changed to improve the antenna frequency. Finally, yagi elements are also added to improve the directive gain of the antenna. The presented microstrip patch array is able to achieve wide frequency bandwidth of 21.95-31.86 GHz. The antenna has also attained gain of 9.7 dB at 28 GHz and has maintained high gain and high directivity throughout the frequency band. The proposed array antenna fed by series-corporate feeding network, with low profile and simple structure is a good candidate for 5G applications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.15-21
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• 2023

This paper is a study on the development of an artificial intelligence model that recognizes a hole cup on a golf green. A CNN-based object detection algorithm was used to recognize the hole cup on the green. Also, Apple's CreateML was used to create a model of the object detection algorithm. This paper created a JSON file with 120 training images and annotations to meet the needs of CreateML. In addition, for more accurate learning, data amplification algorithm was used for learning data and 288 learning data were used for learning. By changing the Iterations, Batch size, and Grid size required by CreateML, we found parameter values that improve the performance of the model. A prototype app was developed by applying the developed model, and performance was measured on an actual golf course green using the prototype app. As a result of the measurement, it was found that the hole cup was accurately recognized within 10m, which is the typical golfer's putting distance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.36-44
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• 2019

Swallowing impairment is a frequent complication following stroke. The characteristics of swallowing impairment with stork patient can facilitate identification of individuals at risk of dysphagia would be of great helpful. The present study examined oropharyngeal swallowing impairment with subacute stroke patients using the Modified Barium Swallowing Impairment Profile(MBSImP). The 49 consecutive patients with the supratentorial stroke met inclusion criteria for the present study. A retrospective review was performed of patients who underwent the videofluoroscopic swallowing study(VFSS). Of Stroke patients, 95.9% exhibited abnormal function of lip closure. 98% and 57.1 % shown abnormal tongue function and lingual motion, respectively. Oral residue was present in 51% and delayed pharyngeal response was present in 89.9%. In addition, abnormal laryngeal and hyoid excursion was seen in 42.9% and 87.8%, respectively. Abnormal function of soft palate elevation was present in 18.4% and abnormal epiglottic movement was seen in 4.1%. 30.6% of 30.6% of these patients exhibited abnormal laryngeal closure. All of the stroke patients(100%) in this study exhibited abnormal pharyngeal stripping wave and pharyngoesophageal segment opening. Abnormal tongue base retraction and oral reside were present 91.8%, respectively. The results suggest that stroke patient is more likely to exhibit reduced swallowing functions including lip closure, tongue control, initiation of pharyngeal swallow, anterior hyoid motion, tongue base retraction, pharyngeal residue and pharyngoesophageal contraction. Therefore, these data could provide valid and precise information regarding physiological evidence to delineate symptoms of dysphagia in this stroke cohort. Future studies should explore the bolus effect in the swallowing impairment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.44-51
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• 2020

The purpose of this study was to identify latent profiles of multicultural adolescents' psychological outcomes (school participation, self-esteem, and difficulty related to multicultural identity) depending on their perception of the parent-child relationship. A total of 5,540 samples from the Multicultural Adolescents Panel Study (MAPS) conducted by the National Youth Policy Institute in 2018 were analyzed by using Latent Profile Analysis and one-way ANOVA. The best-fitting model identified five groups according to their perception of the parent-child relationship: (1) father low-mother average (6.5%), (2) father average-mother low (2%), (3) father low-mother low (18.6%), (4) father average-mother average (31.2%), and (5) father high-mother high (41.7%). According to the results of one-way ANOVA, the father high-mother high (41.7%) group of adolescents showed more school participants and higher self-esteem and multicultural identity than the other profiled groups. The father average-mother average (31.2%) group of adolescents also scored higher than the other three groups (father low-mother average (6.5%), father average-mother low (2%), and father low-mother low (18.6%) of adolescents). The results of this study imply that improving multicultural adolescents' perception of their parent-child relationships would be important in improving psychological outcomes.