• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.51-61
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• 2017

The purpose of this study is to investigate EU, UK and USA's laws and standards related to safety criteria for commercial kitchen machines. The study was based on literature survey and web surfing. The results revealed that EU has relevant directives by kitchen machines and harmonized standards according to the directives. The directives and harmonized standards are translated into the laws and standards of EU member countries, respectively. The kitchen facility relevant legal systems of UK and USA do not prescribe the safety devices or measures, but only the basic health and safety requirements. The requirements were forcefully implemented through the certificate systems such as CE(Confommite European), UL(Underwriters Laboratories), etc. Only products with CE, UL or NRTL(ationally Recognized Testing Laboratory) certificate marking can be placed on the market of EU and USA, or put into service. For achieving the certificates, all requirements regulated in the relevant standards should be met. The standards of UK and USA were presented by kitchen machines or by standards themselves, respectively. Safety devices required by the standards were also summarized by kitchen machines and their risk factors.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.231-238
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• 2021

In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for 'Baedarui Minjok' of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.

• Journal of Korean Home Economics Education Association
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• v.16 no.3
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• pp.63-80
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• 2004

The purpose of this study was to investigate the actual ICT utilization and recognition, to identify the effective and relevant chapters of home economics which can be taught using ICT in teaching and learning method. There were 372 secondary school teachers being participated in the survey. The results of this study can be summarized as follows 1. The reason why they have ICT utilization Instruction is to help the learners improve the academic accomplishment in the development stage through providing data from web-surfing and presentational data such as developed CD, animation and presentations. 2. Regarding ICT utilization capability. teachers have the capability to send and receive E-mail, make a presentation data. practical use of Internet. In addition, the group with less than 10 years experience have a higher capability in information technology. 3. Concerning ICT utilization recognition, this result shows that ICT Instruction is the most effective to motivate learners, and teachers anticipate ICT Instruction would improve the quality of the teaching & learning. 4. The chapter such as 'how to make clothing and recycling'(database). 'the foundation of cooking and its application' (database). 'gender and acquaintance of the opposite sex', 'nutrition of during adolescence' (simulation program) should be the first priority in the development.

• Archives of design research
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• v.14 no.2
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• pp.187-196
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• 2001

Today's internet advertisement market is growing rapidly placing great importance on banner advertisements. Still, banner advertisements are being ignored by the users because most of these banners are exaggerated, visually distracted and they usually interfere with internet surfing. These banners make the agents and the users feel displeased and furthermore, make internet market unstable. 'Rich-Media'came in sight as the new way of advertising means in the internet market as the users demand for more dynamic and interactive media. In Rich-Media, sound and animation interact with former animated banner advertisements. Internet advertising businesses inducing web agencies have positive views about Rich-Media, because more information and ideas are shared through aural and visual integration and it is very effective way to draw attentions from the users. In this study, we have examined the effects of Rich-Media advertisements through surveys. As a result, Rich-Media advertisements are superior to ordinary banner advertisements in visual effect, leading interests of users, inducing mouse did(s and providing of information. The recent uses of Rich-Media is just a mere beginning, but we expect to make the Rich-Media an essential medium of internet advertisement as we continue studying the uses and effects of Rich-Media.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.13-23
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• 2018

Objective : This study was conducted to investigate the leisure activities and self-efficacy according to sensory processing feature of university students. Methods : The survey was conducted from March to June, 2018. A total of 235 university students in Jeolla and Gyeongsang area participated. We used Adolescent/Adult Sensory Profiles to investigate sensory processing feature, Leisure Activity Questionnaires to examine leisure activities, and Self-Efficacy Scale for self-efficacy. This study identified the frequency of leisure activities of university students, the frequency of leisure activities and self-efficiency according to the sensory processing feature, and the leisure activities according to the feature of sensory seeking. Results : For the frequency of leisure activities and self-efficacy according to sensory processing feature of university students, only sensory seeking showed significantly difference in the leisure activity frequency, and the self-efficacy was significantly difference according to the feature of all types of sensory processing (p<.05). In addition, this study identified that leisure activities according to the feature of sensory seeking showed a significantly difference in gym, watching TV, shopping, internet search and web surfing (p<.05, p<.01). Conclusion : According to sensory seeking feature of university students, leisure activities and self-efficacy showed a significant difference. In order to encourage leisure activities of university students and to improve their self-efficacy, an interventional approach based on an understanding of sensory processing characteristics will be needed.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.151-159
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• 2010

Currently, by using the Internet, We can do varius things such as Web surfing, email, on-line shopping, stock trading on your home or office. However, as being out of the concept of security from the beginning, it is the big social issues that malicious user intrudes into the system through the network, on purpose to steal personal information or to paralyze system. In addition, network intrusion by ordinary people using network attack tools is bringing about big worries, so that the need for effective and powerful intrusion detection system becomes very important issue in our Internet environment. However, it is very difficult to prevent this attack perfectly. In this paper we proposed the algorithm for the detection of DoS attacks, and developed attack detection tools. Through learning in a normal state on Step 1, we calculate thresholds, the number of packets that are coming to each port, the median and the average utilization of each port on Step 2. And we propose values to determine how to attack detection on Step 3. By programing proposed attack detection algorithm and by testing the results, we can see that the difference between the median of packet mounts for unit interval and the average utilization of each port number is effective in detecting attacks. Also, without the need to look into the network data, we can easily be implemented by only using the number of packets to detect attacks.

• Asia Marketing Journal
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• v.12 no.4
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• pp.79-111
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• 2011

Digital economy has grown rapidly so that the new business area called 'Internet business' has been dramatically extended as time goes on. However, in the case of Internet business, market shares of individual companies seem to fluctuate very extremely. Thus marketing managers who operate the Internet sites have seriously observed the competition structure of the Internet business market and carefully analyzed the competitors' behavior in order to achieve their own business goals in the market. The newly created Internet business might differ from the offline ones in management styles, because it has totally different business circumstances when compared with the existing offline businesses. Thus, there should be a lot of researches for finding the solutions about what the features of Internet business are and how the management style of those Internet business companies should be changed. Most marketing literatures related to the Internet business have focused on individual business markets. Specifically, many researchers have studied the Internet portal sites and the Internet shopping mall sites, which are the most general forms of Internet business. On the other hand, this study focuses on the entire Internet business industry to understand the competitive circumstance of online market. This approach makes it possible not only to have a broader view to comprehend overall e-business industry, but also to understand the differences in competition structures among Internet business markets. We used time-series data of Internet connection rates by consumers as the basic data to figure out the competition patterns in the Internet business markets. Specifically, the data for this research was obtained from one of Internet ranking sites, 'Fian'. The Internet business ranking data is obtained based on web surfing record of some pre-selected sample group where the possibility of double-count for page-views is controlled by method of same IP check. The ranking site offers several data which are very useful for comparison and analysis of competitive sites. The Fian site divides the Internet business areas into 34 area and offers market shares of big 5 sites which are on high rank in each category daily. We collected the daily market share data about Internet sites on each area from April 22, 2008 to August 5, 2008, where some errors of data was found and 30 business area data were finally used for our research after the data purification. This study performed several empirical analyses in focusing on market shares of each site to understand the competition among sites in Internet business of Korea. We tried to perform more statistically precise analysis for looking into business fields with similar competitive structures by applying the cluster analysis to the data. The research results are as follows. First, the leading sites in each area were classified into three groups based on averages and standard deviations of daily market shares. The first group includes the sites with the lowest market shares, which give more increased convenience to consumers by offering the Internet sites as complimentary services for existing offline services. The second group includes sites with medium level of market shares, where the site users are limited to specific small group. The third group includes sites with the highest market shares, which usually require online registration in advance and have difficulty in switching to another site. Second, we analyzed the second place sites in each business area because it may help us understand the competitive power of the strongest competitor against the leading site. The second place sites in each business area were classified into four groups based on averages and standard deviations of daily market shares. The four groups are the sites showing consistent inferiority compared to the leading sites, the sites with relatively high volatility and medium level of shares, the sites with relatively low volatility and medium level of shares, the sites with relatively low volatility and high level of shares whose gaps are not big compared to the leading sites. Except 'web agency' area, these second place sites show relatively stable shares below 0.1 point of standard deviation. Third, we also classified the types of relative strength between leading sites and the second place sites by applying the cluster analysis to the gap values of market shares between two sites. They were also classified into four groups, the sites with the relatively lowest gaps even though the values of standard deviation are various, the sites with under the average level of gaps, the sites with over the average level of gaps, the sites with the relatively higher gaps and lower volatility. Then we also found that while the areas with relatively bigger gap values usually have smaller standard deviation values, the areas with very small differences between the first and the second sites have a wider range of standard deviation values. The practical and theoretical implications of this study are as follows. First, the result of this study might provide the current market participants with the useful information to understand the competitive circumstance of the market and build the effective new business strategy for the market success. Also it might be useful to help new potential companies find a new business area and set up successful competitive strategies. Second, it might help Internet marketing researchers take a macro view of the overall Internet market so that make possible to begin the new studies on overall Internet market beyond individual Internet market studies.