• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.45-52
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• 2017

In this paper, we investigated the following items for the development of gas safety work mobile app. In this study, which is a follow-up study after the completion of the scenario design and the first, second image extraction of the mobile app based on the initial research that has been studied, 1) Suggested classification of gas works by type classification and risk classification 2) The research and proposal of interaction method for effective interworking of mobile app and worker in many industrial fields of two-hand work have been made. In particular, the development of a mobile app that interacts with the main system that manages not only the gas work but also the field of each industrial field is the first attempt in Korea and has helped the worker to work freely and safely through various interaction methods.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.4
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• pp.364-371
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• 2013

Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.

• Korea Journal of Hospital Management
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• v.13 no.3
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• pp.94-113
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• 2008

The purpose of this study to develop the Hospital Management Award(HMA) programme which would be a basic information for advancing hospital industry in Korea. HMA programme in the study are designed with general census building method of researchers and with the data of professions opinion which was survey with structured questionnaire Major results of this study are as follows. First, Hospital Management Award(HMA) programme is perceived very necessary and useful for advancing hospital industry of Korea (positive response rate: 93.0%). Second, Criteria, Classification of hospitals may be the function, size and ownership of hospital. Third Evaluating area of hospital management, examining method and evaluation marking points are designed on the basis of hospital management information system. Forth, this study suggests same strategies for execution of the programme. On the basis of the study results this study suggests that Hospital Management Award(HMA) programme would rather actualized in advance by formal institute and/or association. And some in depth studies are required mainly for development of the action plan of HMA programme.

• Proceedings of the Korea Concrete Institute Conference
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• 2009.05a
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• pp.43-44
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• 2009

3D bridge information models for a concrete box-girder bridge were built and a typical application example for the estimation linked with the 3D models was proposed. 3D geometry objects with PBS (product breakdown structure) were constructed using standard classification codes and 2D drawings. Information on the amount of materials according to the classification codes was utilized for the estimation system. A process for the estimation of concrete and rebars was developed and verified through the pilot test. Optimization of rebar fabrication was suggested as an additional function and was utilized for the cost reduction and standard fabrication.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.2
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• pp.67-74
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• 2017

PURPOSE: The purpose of this study was to investigate the difference and relationship between sensory processing abilities, gross motor and fine motor capabilities in children with cerebral palsy. METHODS: 104 children with cerebral palsy participated in the study. Sensory processing abilities of the subjects were measured by Short Sensory Profile (SSP). Gross and fine motor abilities were each measured using the Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS), respectively. RESULTS: There were significant correlations between SSP level and GMFCS (R=.72, p<.00) or MACS (R=.77, p<.00) levels. Significant differences were showed each gross motor (p=.01) and fine motor level (p=.00) among sensory processing level of children. In addition, sub-items of sensory processing as Tactile sensitivity, Movement sensitivity, Auditory filtering and Low energy/Weak were significantly were showed significant correlations gross motor and fine motor level (p=.01). Also, multiple regression result was showed that as MACS level and GMFCS level were higher, the SSP total score was higher all of participants (adjusted $R^2=.62$). CONCLUSION: Sensory processing abilities of children with cerebral palsy were related with gross motor and fine motor capabilities. Also gross motor and fine motor capabilities are as higher, the sensory processing skill was well of cerebral palsy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3608-3626
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• 2021

The detection of bolts is an important task in high-speed train inspection systems, and it is frequently performed to ensure the safety of trains. The difficulty of the vision-based bolt inspection system lies in small sample defect detection, which makes the end-to-end network ineffective. In this paper, the problem is resolved in two stages, which includes the detection network and cascaded classification networks. For small bolt detection, all bolts including defective bolts and normal bolts are put together for conducting annotation training, a new loss function and a new boundingbox selection based on the smallest axis-aligned convex set are proposed. These allow YOLOv3 network to obtain the accurate position and bounding box of the various bolts. The average precision has been greatly improved on PASCAL VOC, MS COCO and actual data set. After that, the Siamese network is employed for estimating the status of the bolts. Using the convolutional Siamese network, we are able to get strong results on few-shot classification. Extensive experiments and comparisons on actual data set show that the system outperforms state-of-the-art algorithms in bolt inspection.

• Archives of design research
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• v.16 no.3
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• pp.351-360
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• 2003

The concept of genre used to be applied to classify the fine arts also can investigate various way of communication system and classification. The structuring element of genre was identified by form and contents in that field. But the classification of the web, which is new communication tool, was made by defining the purpose of the web. In this paper the genre system, which consists of form, contents, and function, is applied to classify the web so that we offer tile opportunity to identify dearer characteristics of it. In order to investigate the genre elements in the communication process the structure of the semiotic triad after Charles S. Peirce was adapted, which was labeled as representamen, object, and interpretant. The representamen substitutes for the web function, the object does for the form of the web, and the representamen does for the web contents. According to the Peirce's the representamen identify the object but on the other hand it is identified by the interpretant. Logical structure of the fact that form of the web is identified by its function, and the function is identified by the contents is proved by following the theory. Therefore, the concept of web genre is supported by the element of genre having a logical structure activating in the communication process. We suggest that in recent complicated communication circumstance the genre concept should be adapted to implement the effective web communication design.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1718-1724
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• 2017

Recently, Smart plugs for real time monitoring of household appliances based on IoT(Internet of Things) have been activated. Through this, consumers are able to save energy by monitoring real-time energy consumption at all times, and reduce power consumption through alarm function based on consumer setting. In this paper, we measure the alternating current from a wall power outlet for real-time monitoring. At this time, the current pattern for each household appliance was classified and it was experimented with deep learning to determine which product works. As a result, we used a cross validation method and a bootstrap verification method in order to the classification performance according to the type of appliances. Also, it is confirmed that the cost function and the learning success rate are the same as the train data and test data.

• Journal of the Earthquake Engineering Society of Korea
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• v.13 no.2
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• pp.47-58
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• 2009

In this study, a seismic fragility analysis was performed for substation systems in Korea. To evaluate the seismic fragility function of the substation systems, a fragility analysis of the individual equipment and facilities of the substation systems was first performed, and then all systems were considered in the fragility analysis of the substation systems using a fault-tree method. For this research, the status of the substation systems in Korea was investigated for the classification of the substation systems. Following the classification of the substation systems, target equipment was selected based on previous damage records in earthquake hazards. The substation systems were classified as 765kV, 345kV, and 154kV systems. Transformer and bushing were chosen as target equipment. The failure modes and criteria for transformer and bushing were decided, and fragility analysis performed. Finally, the fragility functions of substation system were evaluated using the fault tree method according to damage status.

• Journal of the Korea Society of Computer and Information
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• v.3 no.4
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• pp.49-54
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• 1998

AS it takes a considerable time for database operations for processing the condition part of active rule, the operations have an important effect on the efficiency of active database system. The processing time of operations should be minimized in order to improve the efficiency of system. The previous works are limited to basic database operations and the partial aggregate functions. In this paper, the processing technique using the structuralization and the state table of relations is suggested. The processing time for basic database operations can be reduced with the structuralization of relations to classification tree and the introduction of deletion information table. With the introduction of binary search tree and relation state table, the aggregate function which has a big of processing cost can be processed effectively and the function of the active database system can be maximized.