• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.5087-5102
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• 2015

Rapid popularization of smart cell phone equipped with camera has led to a number of new legal and criminal problems related to multimedia such as digital image, which makes cell phone source identification an important branch of digital image forensics. This paper proposes a classifier combination based source identification strategy for cell phone images. To identify the outlier cell phone models of the training sets in multi-class classifier, a one-class classifier is orderly used in the framework. Feature vectors including color filter array (CFA) interpolation coefficients estimation and multi-feature fusion is employed to verify the effectiveness of the classifier combination strategy. Experimental results demonstrate that for different feature sets, our method presents high accuracy of source identification both for the cell phone in the training sets and the outliers.

• The Journal of Korean Physical Therapy
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• v.23 no.5
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• pp.65-72
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• 2011

Purpose: The intention of this study was to investigate the effects of modified constraint-induced movement therapy (mCIMT) with bilateral arm training (BAT) on the motor performance and daily activity performance of individuals with chronic hemiparetic stroke. Methods: Sixteen subjects one year after stroke participated in this study with a control group; the pretest-posttest method was used. The subjects were randomly allocated into two groups: combination of bilateral arm training and modified constraint-induced movement therapy (n=8), and modified constraint-induced movement therapy (n=8). The mCIMT group received therapy for 90 minutes in 3 sessions per week over a period of 4 weeks. The patients receiving a combination of mCIMT and BAT were treated for the same period and frequency. The results were evaluated using the Fugl-Meyer Assessment, Action Research Arm Test (ARAT), and Motor Activity Log-Amount of Use, and Quality of Movement (MAL-AOU, QOM) assessment tools. Results: The Fugl-Meyer Assessment showed that hand and wrist performance improved significantly more in the mCIMT group than in the Combination group (p<0.05). Result from the ARAT assessment showed greater scores for gross movement in the combined group than in the mCIMT group (p<0.05). The MAL-AOU showed that there was greater improvement in the combined group than in the mCIMT group (p<0.05). Conclusion: The forced use of the more affected side can be important for the enhancement of upper extremity performance for chronic hemiparetic stroke patients during their daily activities.

• The Journal of the Acoustical Society of Korea
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• v.22 no.7
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• pp.603-611
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• 2003

This paper proposes an effective feature compensation scheme based on speech model for achieving robust speech recognition. Conventional model-based method requires off-line training with noisy speech database and is not suitable for online adaptation. In the proposed scheme, we can relax the off-line training with noisy speech database by employing the parallel model combination technique for estimation of correction factors. Applying the model combination process over to the mixture model alone as opposed to entire HMM makes the online model combination possible. Exploiting the availability of noise model from off-line sources, we accomplish the online adaptation via MAP (Maximum A Posteriori) estimation. In addition, the online channel estimation procedure is induced within the proposed framework. For more efficient implementation, we propose a selective model combination which leads to reduction or the computational complexities. The representative experimental results indicate that the suggested algorithm is effective in realizing robust speech recognition under the combined adverse conditions of additive background noise and channel distortion.

• Speech Sciences
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• v.7 no.1
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• pp.31-37
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• 2000

This paper concerns effective speaker adaptation methods to solve the over-training problem in speaker verification, which frequently occurs when modeling a speaker with sparse training data. While various speaker adaptations have already been applied to speech recognition, these methods have not yet been formally considered in speaker verification. This paper proposes speaker adaptation methods using a combination of MAP and MLLR adaptations, which are successfully used in speech recognition, and applies to speaker verification. Experimental results show that the speaker verification system using a weighted MAP and MLLR adaptation outperforms that of the conventional speaker models without adaptation by a factor of up to 5 times. From these results, we show that the speaker adaptation method achieves significantly better performance even when only small training data is available for speaker verification.

• Journal of Oriental Neuropsychiatry
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• v.22 no.4
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• pp.143-155
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• 2011

Objectives : The purpose of this study is to suggest that psychotherapy must be considered when treating conversion disorder patient with convulsion. Methods : We treated the patient with counseling and autogenic training in psychotherapies, not only traditional methods. Results : In this study, we found difference between when counselling and autogenic training is combined and when they are not practiced. Conclusions : Counseling and autogenic training is good treatment at patient with convulsion of conversion disorder.

• PNF and Movement
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• v.16 no.3
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• pp.397-404
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• 2018

Purpose: The purpose of this study was to investigate the effect of climbing training combined with coordinative locomotor training on muscle thickness in normal adults and to provide basic data regarding its applicability to clinical practice. Methods: Coordinative locomotor and climbing training was conducted three times per week for six weeks. Each exercise session consisted of ten minutes of warm-up and 40 minutes of the main exercise. A post-test was conducted six weeks after the training began, and a follow-up test was done two weeks after the training ended. Results: There were significant differences in the participants' external and internal oblique abdominis muscles over time (p<0.05). There were also significant interactions in the external and internal oblique abdominis muscles over time and according to group (p<0.05). Conclusion: The findings indicate that coordinative locomotor training with climbing had positive effects in normal adults, including increased thickness of the external and internal oblique abdominis muscles. The findings hold value for patient rehabilitation and clinical applications and interventions using coordinative locomotor training in combination with climbing.

• Journal of International Academy of Physical Therapy Research
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• v.12 no.2
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• pp.2345-2353
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• 2021

Background: This study evaluated the effectiveness of upper thoracic manipulation (UTM) and proprioceptive training versus proprioceptive training alone on forward head posture (FHP) and cervicocephalic joint position sense (CJPS) in asymptomatic university students during a short interval of time. Objectives: To evaluate whether the suggested combination would provide greater benefit, and be superior to proprioceptive training alone in improving proprioceptive acuity and head posture. Design: A single-blind randomized controlled trial. Methods: Thirty-three university student volunteers with asymptomatic FHP were recruited. Subjects were randomly assigned to a manipulation group (n=16) receiving UTM combined with proprioceptive training or a proprioception group (n=17) receiving proprioceptive training only. The intervention period lasted 5 weeks in total, and consisted of one 15 to 20-minute session per week. FHP and CJPS were assessed before and after the intervention. Results: A significant pre- to post-intervention decrease in FHP and joint position error was identified in both groups (P<.05). Subjects in the manipulation group demonstrated greater improvements in CJPS and head posture compared to the proprioception group (P<.05). Conclusion: These findings support employing either intervention for treating asymptomatic students with FHP. However, the addition of UTM to proprioceptive training was more effective than proprioceptive training alone in reducing joint position errors and improving head posture.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.5
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• pp.134-140
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• 1994

In this paper, an algorithm of CBAM(Combination Bidirectional Associative Memory) model proposes, analyzes and tests CBAM model `s performancess by simulating with recalls and recognitions of patterns. In learning-procedure each correlation matrix of training patterns is obtained. As each correlation matrix's some elements correspond to juxtaposition, all correlation matrices are merged into one matrix (Combination Correlation Matrix, CCM). In recall-procedure, CCM is decomposed into a number of correlation matrices by spiliting its elements into the number of elements corresponding to all training patterns. Recalled patterns are obtained by multiplying input pattern with all correlation matrices and selecting a pattern which has the smallest value of energy function. By using a CBAM model, we have some advantages. First, all pattern having less than 20% of noise can be recalled. Second, memory capacity of CBAM model, can be further increased to include English alphabets or patterns. Third, learning time of CBAM model can be reduced greatly because of operation to make CCM.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.2
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• pp.213-223
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• 2013

This study presents the process of fashion item development with velvet through creative thinking methods. Creativity is one of the most important requirements for a successful job career and education enhancing creative thinking is needed in the area of fabrication, product design, and marketing strategy development. Velvet was selected as a research stimulus because it is a luxurious fabric with various differential properties such as a soft touch, unique luster, excellent drapability, and fine physical properties. The research methodology included creative thinking methods review, the selection of the tools, idea sourcing and listing, sequential idea evaluation and sample product making. After review of the various creative thinking methods, a combination method and forced connection method were employed as research tools to confirm the usefulness of creative thinking training because of their independence of use and application simplicity. A total of 12 university students participated as subjects in this research. After some training, each student derived ten ideas for velvet products that utilized a combination method and forced connection method. A total of 120 ideas were evaluated for novelty, technical possibility, practicality, and marketability; subsequently, 24 ideas were adopted and developed as sample products. The effectiveness of creativity education in fabrication and product design classes was verified through the whole process of product planning.

• Korean System Dynamics Review
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• v.15 no.2
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• pp.5-25
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• 2014

The purpose of this study is to analyze the effects of nuclear power plant workers and organizational characteristics on accidents, and seek the combination of policies for reducing accidents. For this purpose, it grasped, by using System Dynamics and Causal Loop Diagram, how various factors that cause accidents in nuclear plants are interrelated, and performed simulations after building simulation models. As a result of the analysis, first, the fundamental cause of safety accidents in nuclear power plants turned out to be the time constraint on the workload. Second, it turned out that as the workload of workers increases, physical and mental stresses increase, thereby increasing accidents due to errors and violations. Third, it turned out that as the levels of educational training and compliance with regulations and procedures are enhanced, accidents are reduced. Lastly, it turned out that as the combination of policies (reliance level + working environment + educational training + compliance with regulations and procedures) is increased, accidents are reduced. Especially, it turned out that if the combination of policies is increased by 30%, more than 10 cases of accidents are reduced.