• Journal of Korean Society on Water Environment
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• v.22 no.6
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• pp.1052-1059
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• 2006

For monitoring the fecal pollution at Nak-Dong River, one of the eutrophicated rivers, the differences between total coliforms (TC) and fecal coliforms (FC) using both of membrane filtration (MF)/MPN method, and also fecal streptococcus (FS) by MF-method was investigated. To evaluate the correlation between TC, FC, and FS statistical analyses were performed by using Minitab. And a part of the presumptive TC/FC and background colonies was purified and identified using API 20E kit (Biomeriux). As results, most (89%) of presumptive FC by MF was identified as Escherichia coli while only 14% (MPN) and 11% (MF) of TC were identified as E. coli. Furthermore, FC by MF was correlated significantly with other fecal indicators (TC/FS by MF and FC by MPN), while TC by MPN was not correlated with any other indicators. Thus, the detection of FC by MF-method may be the most reasonable for monitoring the fecal pollution.

• Journal of Biosystems Engineering
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• v.19 no.2
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• pp.112-123
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• 1994

At present, no appropriate drying conditions can be found for the heated-air drying of mushroom in Korea. Usually, mushroom is being dried at the temperature range of 40 to $50^{\circ}C$ until the moisture content reaches 10~13% (wb). However, drying characteristics of the mushroom should be investigated for quality improvement and efficient drying operation of the mushroom. The results of this study may be summarized as follows ; 1. The effect of air temperature on the rate of drying was greater than that of relative humidity for drying of mushroom, and the rate of drying was increased with increase in the air temperature. 2. Drying rate for Shiitake mushroom showed falling-rate period of drying without constant-rate period of drying. Drying rate for Oyster mushroom showed a short constant-rate period at the initial stage of drying process, and followed by falling-rate period of drying. 3. Exponential and App.-Diffusion models were found to describe well the drying process of Shiitake mushroom. Exponential and Thompson models for Oyster mushroom in which Thompson model was the most suitable for Oyster mushroom. 4. The equilibrium moisture content of the mushroom decreased with decrease in the air temperature and increase in the relative humidity. In room condition($20^{\circ}C$, 54% RH), the calculated values of the equilibrium moisture content showed 11.17% for Shiitake mushroom and 13.19% for Oyster mushroom, respectively.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_1
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• pp.927-939
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• 2022

This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based 'illegal dumping monitoring module' was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.51-56
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• 2022

It is relevant and timely for the existence and prosperity of today's tourism to build up a stock of new abilities and a set of innovations. At present, the tourism industry is experiencing a new stage in its digital transformation. The newest technologies, which are now spreading en masse and one of which is rightfully considered to be blockchain technology, enable tourists to receive tourist services directly from the producers, which not only gives the consumer the opportunity to enjoy higher quality and inexpensive products but also increases the responsibility of the producer. The article analyzes research literature on the possibility of using blockchain technology in the tourism industry. Based on an expert survey, the main problems, prospects, and advantages of the implementation of blockchain technology in the tourism industry are identified. The paper proposes and analyzes an option for the use of blockchain technology on the basis of a blockchain project with a mobile app for users and a dedicated website and public API for travel service providers.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.628-635
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• 2018

In this paper, we propose a fast motion estimation algorithm which is important in video encoding. So many fast motion estimation algorithms have been published for improving prediction quality and computational reduction. In the paper, we propose an algorithm that reduces unnecessary computation, while almost keeping prediction quality compared with the full search algorithm. The proposed algorithm calculates the sum of partial block matching error for each candidate, selects the candidates for the next step, compares the stability of optimal candidates with minimum error, and finds optimal motion vectors by determining the progress of the next step. By doing that, we can find the minimum error point as soon as possible and obtain fast computational speed by reducing unnecessary computations. Additionally, the proposed algorithm can be used with conventional fast motion estimation algorithms and prove it in the experimental results.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.7
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• pp.1000-1014
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• 2013

This study identifies the determinants that influence attitude toward and the intention to use mobile shopping services through fashion applications (apps) based on the technology acceptance model. In addition, gender and age group differences were examined. Data were collected from subjects who have used smartphone fashion related apps; subsequently, a total of 327 data were analyzed. About 46% of respondents were males, with a mean age of 34.4 years that ranged from 20 to 49 years old. Multiple regression models were developed based on the research model. Perceived usefulness, perceived ease of use, perceived enjoyment, perceived risks (security risk and quality risk), fashion involvement, and fashion app attributes (product attributes and service attributes) were employed as predictors of attitudes towards mobile shopping. Attitudes towards mobile shopping and subjective norms with the aforementioned variables measured the intention to use. Attitudes towards mobile shopping were predicted by perceived enjoyment, perceived usefulness, and service attributes. Attitudes toward mobile shopping and subjective norms were the most important predictors of the intention to use. Gender differences were found in that service attributes were significant for attitudes towards mobile shopping only in the male model. Age differences were also found and perceived usefulness was the most important predictor of attitudes toward mobile shopping among those in their 20's; however, perceived enjoyment was the most important among those in their 30's and 40's. Quality risk was only significant to explain intention to use among those in their 40's. The findings of this study are useful to understand the possibility of the adoption of mobile shopping though fashion apps and provide basic insight into market segmentation.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1313-1324
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• 2014

Korea has high quality level of ICT Technologies, however it still have a long way to go before invigoration of ICT in agriculture industry. The government of Korea supply to agriculture ICT systems, however these are the enclosed type and insufficient the level of connectivity, compatibility, and integrity between ICT systems. Farmers can not share crop information and one system can not use with others in combination. Recently, IoT(Internet of Things) become popular to emphasize the vision of a global internet and ICT industry. The IoT is a critical technology that leads future internet generation. We believe that IoT will change status of agriculture industry and appearance of various agriculture business model. Using IoT technology is provided a platform of opportunities to optimize work processes and efficient use of energy, time and labour in farm. It can automatically control temperature, humidity, sunshine system and so on for optimal growth conditions at greenhouse and plant factory. Growth setting can even be controlled and monitored crop condition and disease by a smartphone app or PC. It is possible to improve quality of farming and farm product. We suggest that construction of IoT platform through open API in agriculture industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5248-5255
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• 2014

Because of the rapid growth of smart phone market, the number of mobile applications has increased exponentially. As mobile applications are developing at a rapid rate, many of them are being developed without considering a systematic development process or quality factors, such as reusability, extensibility, etc.. As a result, they have many faults internally, they are being underrated in satisfaction or reliability from customers, and finally customers do not update or repeat the purchase. Therefore, a meta-model of development process for mobile applications was designed to improve the continuous usability of mobile applications as well as the satisfaction and reliability from users. Applying development process based on a meta-model to mobile application development is expected to improve development productivity and quality of mobile applications.

• Journal of Digital Contents Society
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• v.16 no.6
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• pp.883-892
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• 2015

This paper was conducted to improve existing festival apps that present information in a one-dimensional and unengaging manner by analyzing the factors for festival quality factor from satisfaction evaluation items in culture and tourism festival evaluation reports as well as international and domestic studies. An exploratory factor analysis generated a KMO value of 0.821. After eliminating factors with factor loadings lower than the standard value, the factors of accessibility, promotion and information, contents of events, festival products, food, and amenities were extracted. Reliability was gauged using Cronbach's ${\alpha}$(Alpha), which was calculated to be 0.816. In the confirmatory factor analysis, the p value in the chi-square test was 0.289 while CMIN/DF was 1.100. The fit indices of GFI, AGFI, CFI, NFI, and IFI were all higher than the 0.9 mark while RMSEA was 0.018.

• Journal of Korean Academy of Nursing
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• v.50 no.1
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• pp.52-65
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• 2020

Purpose: To examine the effects of a smartphone application-based exercise program on self-efficacy expectations (SEE) and outcome expectations regarding exercise (OEE), physical fitness, activity level, physiological indices, and health-related quality of life in a sample of hemodialysis patients. Methods: A quasi-experimental control group pre-test post-test design was used. Subjects were recruited from two university hospitals in G city. The subjects were assigned randomly by coin toss: 33 participants to the experimental group and 30 to the control group. A literature review and the self-efficacy theory were used to develop the smartphone program. Experts designed and verified the program to be userfriendly and in consideration of user interaction. Data were collected through a self-report pre-test post-test questionnaire and online medical records. Results: In the experimental group, the levels of physical fitness and physical activity were significantly improved post-test, but the scores on health-related quality of life and the physical indices did not improve. In the experimental group, the SEE and OEE post-test scores were also significantly higher than the pre-test scores, but the control group's scores did not change. Conclusion: The smartphone application-based exercise program based on self-efficacy theory significantly improved the level of physical fitness and activity, SEE, and OEE for hemodialysis patients. The use of this application-based exercise program for hemodialysis patients might be an effective nursing intervention tool for improving SEE, OEE, level of physical fitness, and physical activity.