• The Journal of Society for e-Business Studies
• /
• v.24 no.2
• /
• pp.143-163
• /
• 2019

The purpose of this study is to identify acceptance factors and influencing factors of respondents' adoption of smart IoT technology to companion animal health based on the integrated technology acceptance model. Based on the previous studies, we constructed the hypotheses by defining the technical factors, social factors, control variables, and mediating variables (UTAUT), and set the hypotheses between the independent variables of each factor and the dependent intention. A research model was designed to verify the relationship between variables. We developed questionnaires on the items and verified them through data collected from 494 people. As a result, product design, quality of service, product performance, and quality service of technological factors had a significant effects on performance expectancy and effort expectancy. However, product safety, product function awareness, and product price did not significantly affect performance expectancy and effort expectancy. Social influence had significant effects on cognitive effect, welfare system, and welfare facilities. In conclusion, the comparative analysis of technical factors and social factors showed that social factors have more significant effects on welfare systems and facilities.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.97-104
• /
• 2019

With the development and spread of smart devices, the proportion of mobile shopping is gradually increasing, and the market for mobile gift certificates is also increasing. This study examines the usage status and acceptance attitude of mobile gift certificates for university students who are major customers of mobile gift certificates. Also, based on the extended integrated technology acceptance model (UTAUT2), the results of the analysis of the mediating effect of the intention of the user on the relationship between acceptance of mobile vouchers and recommendation intention were presented. As a result of the analysis, it was shown that the effort expectation, hedonic motivation, price utility, and habit had significant influence on the intention to use the mobile gift certificates. Also, the intention to use mobile gift certificates has mediating effects between effort expectation, hedonic motivation, price utility and recommendation intention. The results of this study can be applied to strategic marketing such as recruitment of new customers through mobile gift certificates while explaining customers' acceptance of technology to mobile gift vouchers or future prospective customers.

• Journal of the Microelectronics and Packaging Society
• /
• v.25 no.4
• /
• pp.75-81
• /
• 2018

The effect of $Ar-N_2$ plasma treatment on Cu surface as one of solutions to realize reliable Cu-Cu wafer bonding was investigated. Structural characteristic of $Ar-N_2$ plasma treated Cu surface were analyzed using X-ray diffraction, X-ray photoelectron spectroscopy, atomic force microscope. Ar gas was used for a plasma ignition and to activate Cu surface by ion bombardment, and $N_2$ gas was used to protect the Cu surface from contamination such as -O or -OH by forming a passivation layer. The Cu specimen under high Ar partial pressure plasma treatment showed more copper oxide due to the activation on Cu surface, while Cu surface after high $N_2$ gas partial pressure plasma treatment showed less copper oxide due to the formation of Cu-N or Cu-O-N passivation layer. It was confirmed that nitrogen plasma can prohibit Cu-O formation on Cu surface, but nitrogen partial pressure in the $Ar-N_2$ plasma should be optimized for the formation of nitrogen passivation layer on the entire surface of Cu wafer.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.1
• /
• pp.161-170
• /
• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.209-217
• /
• 2019

In this paper, the purpose of this paper is to lay the foundation for the search system by using and building an online search engine suitable for the search domain and enabling search, conversion, integration and sharing of information. It is to use the ontology to infer hierarchical relationships, deduce objects based on that layer, and extract attributes to search areas that are relevant to the data that the user wants. In order to search for information in this way, the information search system was implemented by entering key words related to 'qualifications'. The implemented system arranged the meaning and relationship of each attribute online so that the general public can search information quickly, easily, and accurately. In addition, the implementation results were compared with two different search engines. Comparable search engines are Naver and Daum, the two major search engines. The search engine of this study, which was built using an ontology suitable for the search domain to perform searches using the semantic web, was evaluated to have excellent results. However, it is thought that a more formalized online location is necessary to increase the accuracy and reliability of search engines and to include more comprehensive categories of search terms.

• Journal of Industrial Convergence
• /
• v.16 no.1
• /
• pp.21-26
• /
• 2018

The Seaborne Trade Volume accounts for 97% of the total. This means that the port operation management system can improve port efficiency, reducing operating costs, and the manager who manages all operations at the port needs to check and respond quickly when delays of work and equipment support is needed. Based on the real-time location information confirmation of yard automation equipment used the existing system GPS, the real-time location information confirmation system is a GPS system of the tablet, rather than a port operation system that monitors location information for the entered information, depending on the completion of the task or the start of the task. Network configurations also reduce container processing delays by using commercial LTE services that do not have shading due to containers in the yard also reduce container processing delays. Trough introduction of smart devices using Android or IOS and container processing scheduling utilizing artificial intelligence, we will build a minimum delay system with Smart Device usage of container processing applications and optimization of container processing schedule. The adoption of smart devices and the minimization of container processing delays utilizing artificial intelligence are expected to improve the quality of port services by confirming the processing containers in real time to consumers who are container information demanders.

• Journal of Digital Convergence
• /
• v.17 no.5
• /
• pp.89-97
• /
• 2019

The purpose of this study was to understand educational changes and effects of cognitive behavioral art therapy using the smart device. The participant of the study was a 4th grade of male elementary school student who had aggressiveness and impulsiveness with emotional instability. The study was conducted one to two times a week for six months with a total of 30 educational sessions. Among 80 minutes per session, 60 minutes of art therapy and 20 minutes of cognitive behavioral therapy were applied, and during the sessions, cognitive action art therapy (drawing and shaping activities), cognitive restructuring, behavioral modification, systemic dullness, social skills training, empathy and landscaping training were applied. For the numeral assessment, Traffic Anxiety Inventory for Children (TAIC), Beck Anxiety Inventory (BAI) and emotional instability measures were used. Research showed that cognitive behavioral art therapy using smart devices had the effect of positive emotional change in children with emotional anxiety, and based on this, future development directions including systematic instructional design, scientific analysis and feedback technologies were discussed.

• Journal of the Korean Society for Library and Information Science
• /
• v.53 no.2
• /
• pp.117-137
• /
• 2019

The purpose of this study is to guide the design and operation of maker education programs in school library and to spread them by sharing the maker education program case. For this purpose, we explained the case of maker education of Daegu S high school library and analyzed its significance in terms of users in quantitative and qualitative way. In order to analyze the user's perception of the image and self-efficacy of capacity building of school library maker education, we compared it with the perception of existing school library education programs. In addition, we analyzed whether there is a statistically significant difference in the perception of the maker education according to the grade of the student and the experience of the maker education. The perception of school library maker education was not more positive than the existing school library education program. However, it is noteworthy that students who experienced school library maker education showed a positive image and high level of perception of the self-efficacy of capacity building in both existing school library education and manufacturing education compared to those who did not. These results suggest that school library maker education can improve the overall image of school library education and raise perception of the self-efficacy of capacity building. We hope that this study will contribute to activate school library maker education.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.10
• /
• pp.277-284
• /
• 2021

Recently, the smart home environment is expected to be a platform that collects, integrates, and utilizes various data through convergence with wireless information and communication technology. In fact, the number of smart devices with various sensors is increasing inside smart homes. The amount of data that needs to be processed by the increased number of smart devices is also increasing, and big data processing systems are actively being introduced to handle it effectively. However, traditional big data processing systems have all requests directed to cluster drivers before they are allocated to distributed nodes, leading to reduced cluster-wide performance sharing as cluster drivers managing segmentation tasks become bottlenecks. In particular, there is a greater delay rate on smart home devices that constantly request small data processing. Thus, in this paper, we design a Apriori-based big data system for effective data processing in smart home environments where frequent requests occur at the same time. According to the performance evaluation results of the proposed system, the data processing time was reduced by up to 38.6% from at least 19.2% compared to the existing system. The reason for this result is related to the type of data being measured. Because the amount of data collected in a smart home environment is large, the use of cache servers plays a major role in data processing, and association analysis with Apriori algorithms stores highly relevant sensor data in the cache.

• Therapeutic Science for Rehabilitation
• /
• v.10 no.2
• /
• pp.37-51
• /
• 2021

Objective : The purpose of this study was to analyze non-invasive treatments and drooling assessment methods in children with cerebral palsy and developmental disabilities, who drool. Methods : This study searched two hundred papers published in 2005-2019. Forty-four papers were selected based on their abstract and title, and ten papers were finally selected following a secondary search. Results : The PEDro Scale of the selected papers was high with an average of seven points. As a result of analyzing the overall trends, the study participants were primarily patients with cerebral palsy, and recently, the therapeutic intervention of oral sensory exercise was more actively studied than behavioral modification. Studies of behavioral modification and oral sensory exercise intervention methods were found to have differences in participant age and, cognitive level, number of participants, research design, treatment time, and duration. Studies to confirming the frequency and severity of the drooling measurement method were found to be the main factor. Conclusion : This study analyzed typical behavioral modification and oral sensory exercise interventions as examples of non-invasive therapeutic interventions for children with cerebral palsy and developmental disabilities and provided information to help select appropriate therapeutic intervention methods when planning non-invasive therapy using behavioral modification and oral sensory exercise therapy.