• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.68-71
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• 2004

Hsinchu Science Park, one of the most productive electronic sites in the world, is located at Hsinchu County. Hsinchu County Government is entitled for daily management to pursue the objectives of making every county citizen prosperous. Several web-based management information systems have been developed for county management and were widely implemented. However, forest management is one of several tasks which need development of web-based geographic information systems. The objectives of this paper are to develop GIS for forest management at Hsinchu County in order to solve problems encountered in the rapid changing circumstance. The objectives of forest management at Hsinchu County have been changed a little bit in the last decade. Now, it mainly focuses on public and private forest, tree planting, wind break forest management, and plane forest planting. The major ingredients of GIS for forest management are user-friendly, task-oriented, and direct linking to the existing GIS at Hsinchu County. AreIMS and ArcGIS were used for web-based GIS. Field operations of forest management depend on PDA and GPS such that ArcPAD is implemented both on personal computers and PDA. Computer programming is required for database management and development of application modules in forest management. Color digital orthophoto maps at scale of 1:5000 provide very useful background information. Forest management at Hsinchu County now is operated in an efficient way that GIS, remote sensing, GPS and PDA are working smoothly.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.171-179
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• 2020

Recently, studies have shown that convolution neural networks are achieving the best performance in image classification, object detection, and image generation. Vision based defect inspection which is more economical than other defect inspection, is a very important for a factory automation. Although supervised anomaly detection algorithm has far exceeded the performance of traditional machine learning based method, it is inefficient for real industrial field due to its tedious annotation work, In this paper, we propose ADGAN, a unsupervised anomaly detection architecture using the variational autoencoder and the generative adversarial network which give great results in image generation task, and demonstrate whether the proposed network architecture identifies anomalous images well on MNIST benchmark dataset as well as our own welding defect dataset.

• The Journal of Korean Association of Computer Education
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• v.19 no.5
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• pp.41-53
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• 2016

Due to increase in software-based new technologies, software developers are being required to creative problem solving. Especially, for a successful business change of software developers into a new industrial field, software analysis phase and design phase are important and it is an important task to strengthen these competences. In this study, two independent researches were conducted. First, a survey with 300 software developers was conducted and it was explored that uniform thinking of software developers caused by application of "standard software development methodology" made it difficult to approach creative problem solving. Based on this finding, the influences of 9 competences of computational thinking on software developers were analyzed after selecting 111 software developers with over 10 years of experience in the IT industry. As a result, it was revealed that abstraction was an important competence. The study finding demonstrates that software developers recognized design phase as the most important thing and abstraction of CT is the basics of other competences.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.606-608
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• 2015

In order to bear a relationship between the devices in the IoT environment whereby the task of navigating the device and relationship should be preceded before. The new device transmits a search signal in order to find a device and a peripheral device that receives this will determine the distance information of the device and determines the intensity of the transmitted signal. M2M (Machine to Machine) method has been used in conventional sends the search signal to all of the peripheral devices in a single device, a peripheral device that is greater the search time becomes long, a problem that a loss of information, the more devices that are far there is. In this paper, a method to compensate for problems of existing methods of M2M devices and new shortening of the search time when the search for the peripheral device, an algorithm to reduce the information loss of time to send and receive signals from the navigation device and away proposals were discussed and used in the field.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.3
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• pp.191-200
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• 2014

Employees overseas have a need to prepare according to the different environments and industrial structures between countries. Therefore, to investigate qualities for fashion designers to possess when they work abroad, especially in the United States, this study compared the level of knowledge required to fulfill the work of fashion design in both South Korea and the United States. Responses from workers who are engaged to fashion design from the representative online career information systems of two countries, 'Worknet' in South Korea and '$O^*Net$' in the United States, were used as data. Looking at the result derived from the analysis of this study, first by comparing various statistical indicators, results showed the difference between knowledge level required to fashion designer in South Korea and in the United States. Even with the same type of job, because environments and industrial structures of each country are dissimilar, a different level of knowledge will be required in order to perform their tasks. Second, fashion designers in both South Korea and the United States required a high level of knowledge in the 'fine arts', 'administration and management', 'production and processing', and 'design' to perform their duties as a fashion designer. As a result, both countries have similarities that fashion designers need to possess a high level of the knowledge in areas such as 'production of products' as well as 'sales of products'. Furthermore, human relationship field of knowledge such as 'counseling', 'psychology', and 'communication' appeared to be more necessary to fashion designers in South Korea than those in the United States. On the other hand, higher degree of knowledge of 'machines and tools', ' fine arts', and 'transportation' appeared to be more necessary to fashion designers in the United States than those in South Korea.

• Therapeutic Science for Rehabilitation
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• v.1 no.2
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• pp.35-40
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• 2012

The purpose of this review was to investigate feasibility of intensive virtual reality training to improve upper extremity function with brain plasticity of individuals with stroke through the literature. The recovery of the paretic upper extremity depends on regularity and intensity of training as use-dependent plasticity. In resent, virtual reality program has been widely used in the occupational therapy field of augmented stroke rehabilitation. There is a growing body of evidence that virtual reality training of the paretic extremity induces brain plasticity associated with motor improvement. In terms of therapeutic feasibility to improve paretic upper extremity, recent research has explored several important factors of virtual reality training for recovery of upper extremity motor function. These factors include high repetition intensity, high motivation like type of game, enhanced multisensory feedback regarding performance, and interactive task-oriented training. Therefore, occupational therapy combined with intensive and repetitive virtual reality training will enhance recovery of upper extremity motor function after stroke.

• Korean journal of food and cookery science
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• v.24 no.6
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• pp.818-828
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• 2008

A recurrent theme within the literature on the 6 Sigma program is the study of its effect on organizational performance. Therefore, the aim of this study was to investigate the effect of 6 Sigma on culinary quality performance, work commitment, and customer loyalty in the culinary division of hotels and family restaurants. The samples of this study included the employees of the culinary division of hotels and family restaurants that implemented or were about to implement the 6 Sigma program. A total of 248 questionnaires were analyzed with statistical methods of factor analysis, reliability test, and regression analysis. The findings of this study showed that the 6 Sigma program affected the culinary quality performance and work commitment of culinary division employees. Also, the 6 Sigma program, culinary quality performance and work commitment affected customer loyalty. Furthermore, work commitment affected culinary quality performance. Based on these research findings, it is required that the culinary division of hotels and family restaurants should incorporate the 6 Sigma program. For this purpose, good quality data should be collected with sufficient preparation procedures, and task force team should be made. Moreover, experts in this field should be cultivated, with the training of employees in mind. It is also crucial that the current quality of product and services be measured and that all the employees of the culinary division participate in the implementation of the 6 Sigma program. The intervention and heavy participation of the top management and head of the culinary division is expected for the successful implementation of 6 Sigma program.

• Wind and Structures
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• v.12 no.6
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• pp.479-504
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• 2009

Structural health monitoring (SHM) systems have been recently embraced in long span cable-supported bridges, in which buffeting-induced stress monitoring is one of the tasks to ensure the safety of the bridge under strong winds. In line with this task, this paper presents a SHM-oriented finite element model (FEM) for the Tsing Ma suspension bridge in Hong Kong so that stresses/strains in important bridge components can be directly computed and compared with measured ones. A numerical procedure for buffeting induced stress analysis of the bridge based on the established FEM is then presented. Significant improvements of the present procedure are that the effects of the spatial distribution of both buffeting forces and self-excited forces on the bridge deck structure are taken into account and the local structural behaviour linked to strain/stress, which is prone to cause local damage, are estimated directly. The field measurement data including wind, acceleration and stress recorded by the wind and structural health monitoring system (WASHMS) installed on the bridge during Typhoon York are analyzed and compared with the numerical results. The results show that the proposed procedure has advantages over the typical equivalent beam finite element models.

• Toxicological Research
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• v.24 no.3
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• pp.183-188
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• 2008

The behavioral phenotypes of out-bred ICR mice were compared with those of in-bred C57BL/6 and BALB/c mice. In particular, this study examined the locomotor activity and two forms of hippocampus-dependent learning paradigms, passive avoidance and object recognition memory. The basal open-field activity of the ICR strain was greater than that of the C57BL/6 and BALB/c strains. In the passive avoidance task, all the mice showed a significant increase in the cross-over latency when tested 24 hours after training. The strength of memory retention in the ICR mice was relatively weak and measurable, as indicated by the shorter cross-over latency than the C57BL/6 and BALB/c mice. In the object recognition memory test, all strains had a significant preference for the novel object during testing. The index for the preference of a novel object was lower for the ICR and BALB/c mice. Nevertheless, the variance and the standard deviation in these strains were comparable. Overall, these results confirm the strain differences on locomotor activity and hippocampus-dependent learning and memory in mice.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.320-323
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• 2008

This study attempts to establish a system extracting and monitoring cultural grounds of seaweeds (lavers, brown seaweeds and seaweed fulvescens) and abalone on the basis of both KOMPSAT-2 and Terrasar-X data. The study areas are located in the northwest and southwest coast of South Korea, famous for coastal cultural grounds. The northwest site is in a high tidal range area (on the average, 6.1 min Asan Bay) and has laver cultural grounds for the most. An semi-automatic detection system of laver facilities is described and assessed for spacebome optic images. On the other hand, the southwest cost is most famous for seaweeds. Aquaculture facilities, which cover extensive portions of this area, can be subdivided into three major groups: brown seaweeds, capsosiphon fulvescens and abalone farms. The study is based on interpretation of optic and SAR satellite data and a detailed image analysis procedure is described here. On May 25 and June 2, 2008 the TerraSAR-X radar satellite took some images of the area. SAR data are unique for mapping those farms. In case of abalone farms, the backscatters from surrounding dykes allows for recognition and separation of abalone ponds from all other water-covered surfaces. But identification of seaweeds such as laver, brown seaweeds and seaweed fulvescens depends on the dampening effect due to the presence of the facilities and is a complex task because objects that resemble seaweeds frequently occur, particularly in low wind or tidal conditions. Lastly, fusion of SAR and optic spatial images is tested to enhance the detection of aquaculture facilities by using the panchromatic image with spatial resolution 1 meter and the corresponding multi-spectral, with spatial resolution 4 meters and 4 spectrum bands, from KOMPSAT-2. The mapping accuracy achieved for farms will be estimated and discussed after field verification of preliminary results.