• Journal of Nutrition and Health
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• 제35권1호
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• pp.115-123
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• 2002

This study was carried out to investigate the utilization status of internet dietary information by gender(boys: 363, girls: 366) in adolescent(middle & high school students). The results were summarized as follows. The internet using frequency of 6-7times per week had 45.0% of subjects and the using time of internet per a time was shown mainly'<2hours(68.5%)'. The main place for internet use was home(79.0%) and favorite search engine was 'Yahoo'(45.7%) and 'Daum'(19.3%). As main purpose using internet were mentioned 'social intercourse'(45.0%) and data search'(24.8%). The organization that offer to reliable internet information was educational institution'(49.4%). The problems in using information site were 'poor information'(26.4%), 'slow connection speed'(22.6%), and 'don't arouse interest'(18.8%). The search experience about dietary information had only 27.9% of subjects and search purpose was 'for homework'(33.3%) and 'for health'(32.0). The satisfaction degree of dietary information was not high. The connection motive to dietary information was mainly 'by site navigation casualty'(55.7%). Only 7.7% of subjects had experience of nutrition counseling using internet, and the motive of nutrition counseling was also 'by site navigation causally'(55.8%). The purpose of counseling was 'for diet'(41.5%) and 'for health problem'(30.2%), and the satisfaction degree of counseling result was very low. As the ask of improvement for counseling site were pointed out 'poor in answer content'(44.8%) and 'lazy answer'(31.0%). The subjects wanted to get the dietary information about 'growth in status'(41.4%), 'diet related skin beauty'(14.6%), the update period less 1 month, and the way of 'free board'(32.3%), 'game'(21.1%) and 'animation'(19.3%) as offer tool. The results of this study showed that although the internet using percent and frequency of subjects was high, they used dietary information very seldom and they are dissatisfied with internet nutritional information. Therefore, the information donor should consider which dietary information was needed and what is the optimal tool for adolescent.

• 가정과삶의질연구
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• 제27권6호
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• pp.65-82
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• 2009

The following research aimed to determine the effect of stress among middle school students on their addiction to the Internet. This research's target was a group of male students who had a high probability of getting addicted to the Internet while playing c/t games. The study distributed 357 questionnaires and used 340 copies, which meant discarding 17 copies that were considered inadequate. The research results are as follows: First, there appeared subordinate factors in the stress suffered by the students. These included stress from their families, from conflicts with their teachers, from the living environment, current schoolwork and future course in college, insecurity over their physical appearance, bullying from other students, and relationships with friends. Among these factors, stress caused by conflicts with teachers and family was the most frequently cited, while stress from their friends was the least cited. The motive in using the Internet was found to be bound with several factors. These include: a form of diversion, a way to communicate with others, a means in coping with loneliness, a source of news and information, a form of passing away time, a kind of habit, and others. Among these motives, passing away time and indulging a habit were cited the most, followed by news and information search, and a form of diversion. Second, as a subordinate factor in Internet addiction, the following were cited: formation of tolerance, health issues, occurrence of problems related to daily life, satisfaction or a pleasant sensation, withdrawal, cover-up on the use of the Internet, and formation of virtual interpersonal relationships, and others. Among these, the formation of tolerance came out the highest, followed by health issues, daily life, and problems related to daily life. Third, in terms of the effects of stress on the motive in using the Internet, the research found that the more the students felt stressed out by conflicts with their teachers and family, the more they tended to use the Internet to communicate with others, to cope with loneliness, to obtain newsI and information, to passawaytime, and to indulge a habit Also, the more they felt stressed out by the living environment, the more they tended to use the Internet to communicate with others, to cope with loneliness, and use news and information. The more they felt stressed out by their schoolwork and future course in college, they tended to use the Internet as a form of diversion and to secure news and information. The more they felt stressed out by their insecurity over their physical appearance and being victimized by bullies, the more they tended to use the Internet to cope with loneliness. Fourth, as for the effect of several variables on student addiction to the Internet, the study found that the more students felt stressed out by their living environment, by schoolwork and future course in college, by their physical appearance, and bullying from other students, the more they used the Internet as a form of diversion, a communication tool, and as a means of passing away time or indulging a habit. The study came up with the finding that the more the students used the computer and the Internet, the probability of their getting addicted to the Internet got higher.

• 한국조사연구학회지:조사연구
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• 제3권2호
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• pp.17-45
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• 2002

본 연구는 Flow 경험이 인터넷 사용자의 상황이나, 목적에 따라서 인터넷을 항해하는데 어떠한 영향을 미치는지, 그리고 기존의 구매의도 관련 변인들과 어떠한 차이를 보이는가를 고찰하기 위해 이루어 졌다. 연구결과 첫째, 인터넷 사용자의 (On-line)구매의도는 인터넷 사용자의 경험의 정도에 따라 증가하는 것으로 나타났다. 둘째, 인터넷 쇼핑몰을 항해하는 동안 경험하게 되는 Flow는 인터넷 쇼핑몰을 탐색하는 동기에 따라 다른 것으로 나타났다. 셋째, Flow경험을 높게 인지한 사용자일수록 온라인을 통한 구매의도(또는 구매의도 관련변인)는 증가한 것으로 나타나 온라인을 통한 구매과정을 설명하는데 Flow가 영향을 미치는 것으로 나타났다. 넷째, 목적적 Flow를 경험하는 인터넷 사용자의 경우 Flow 변인이 다른 구매의도 관련 변인들(태도, 효용, 위험)보다 온라인을 통한 구매의도에 가장 높은 영향을 미치는 것으로 나타났으며 경험적 Flow를 경험하는 인터넷 사용자는 인터넷 쇼핑몰을 구매장소로 인지하기 보다는 즐거움(fun)의 장소로 인지하는 것으로 나타났다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.27-32
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• 2024

Reliable and fine-grained musical metadata are required for efficient search of rapidly increasing music files. In particular, since the primary motive for listening to music is its emotional effect, diversion, and the memories it awakens, emotion classification along with genre classification of music is crucial. In this paper, as an initial approach towards a "ground-truth" dataset for music emotion and genre classification, we elaborately generated a music corpus through labeling of a large number of ordinary people. In order to verify the suitability of the dataset through the classification results, we extracted features according to MPEG-7 audio standard and applied different machine learning models based on statistics and deep neural network to automatically classify the dataset. By using standard hyperparameter setting, we reached an accuracy of 93% for genre classification and 80% for emotion classification, and believe that our dataset can be used as a meaningful comparative dataset in this research field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.959-979
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• 2024

Rice pest identification is essential in modern agriculture for the health of rice crops. As global rice consumption rises, yields and quality must be maintained. Various methodologies were employed to identify pests, encompassing sensor-based technologies, deep learning, and remote sensing models. Visual inspection by professionals and farmers remains essential, but integrating technology such as satellites, IoT-based sensors, and drones enhances efficiency and accuracy. A computer vision system processes images to detect pests automatically. It gives real-time data for proactive and targeted pest management. With this motive in mind, this research provides a novel farmland fertility algorithm with a deep learning-based automated rice pest detection and classification (FFADL-ARPDC) technique. The FFADL-ARPDC approach classifies rice pests from rice plant images. Before processing, FFADL-ARPDC removes noise and enhances contrast using bilateral filtering (BF). Additionally, rice crop images are processed using the NASNetLarge deep learning architecture to extract image features. The FFA is used for hyperparameter tweaking to optimise the model performance of the NASNetLarge, which aids in enhancing classification performance. Using an Elman recurrent neural network (ERNN), the model accurately categorises 14 types of pests. The FFADL-ARPDC approach is thoroughly evaluated using a benchmark dataset available in the public repository. With an accuracy of 97.58, the FFADL-ARPDC model exceeds existing pest detection methods.

• 한국의상디자인학회지
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• 제17권3호
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• pp.13-27
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• 2015

The purpose of this study is to understand the general process from textile design till fashion design and to understand the relation between the body structure by using the x-ray technique. The research method was to see background of the anatomic feature and human skeletal X-ray projection through historical aspect of publications, the Internet, and paper. In terms of production, in order to present a design that takes into account the unique silhouette of the human body without distorting the shape of the human skeleton, X-ray images that were reconstituted using a computer graphic tool (Photoshop CS) were reproduced into the fabric as intense images through the digital Textile Printing technique that is capable of expressing fine and delicate details, and applied into the design. An original design was developed that emphasized the impression of the human body being projected and the shape of the human skeleton realistically expressed in terms of silhouette and detail. The results are as follows: First, Body has a anatomic formative characteristic and its formativeness becomes as a great motive for the artistic expression and thereby it becomes more unique and available for new design expression. Second, Using the 'body frame' as the motive of the research, there's mainly tried to make an unique expression. Third, according to reconstructing human skeletal X-ray projection by using Adobe Photoshop CS2, it can be expressed strong and unique design. Forth, DTP which is being used as an essential technique, expresses the body frame realistically and being used the special type of functional product and silk. Likewise by discovering the diverse formativeness of our body frame and reflecting the sense of humanity into the pieces there's been able to make and develop an unique fashion design. I sincerely hope there is a hug progress in this research in this area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.5143-5158
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• 2018

Improving the intrusion detection system (IDS) is a pressing need for cyber security world. With the growth of computer networks, there are constantly daily new attacks. Machine Learning (ML) is one of the most important fields which have great contribution to address the intrusion detection issues. One of these issues relates to the imbalance of the diverse classes of network traffic. Accuracy paradox is a result of training ML algorithm with imbalanced classes. Most of the previous efforts concern improving the overall accuracy of these models which is truly important. However, even they improved the total accuracy of the system; it fell in the accuracy paradox. The seriousness of the threat caused by the minor classes and the pitfalls of the previous efforts to address this issue is the motive for this work. In this paper, we consolidated stratified sampling, cost function and weighted Support Vector Machine (WSVM) method to address the accuracy paradox of ID problem. This model achieved good results of total accuracy and superior results in the small classes like the User-To-Remote and Remote-To-Local attacks using the improved version of the benchmark dataset KDDCup99 which is called NSL-KDD.

• 한국가정과교육학회지
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• 제20권4호
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• pp.187-203
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• 2008

본 연구는 청소년의 사회인구학적 변인 및 인터넷 사용관련 변인에 따른 인터넷 중독정도의 차이와 인터넷 중독성에 따른 가족 의사소통의 차이, 인터넷 중독 정도가 가족 의사소통에 미치는 영향을 살펴봄으로써 청소년기 가족의 가족 내 바람직한 의사소통을 향상시키는데 필요한 기초 자료를 제공하는데 그 목적이 있다. 광주광역시에 거주하는 중학생 394명을 대상으로 하여 얻어진 결과를 요약하면 다음과 같다. 첫째, 남학생의 인터넷 중독은 50.71%로 여학생의 30.31%보다 높게 나타났고, 가족 의사소통 중 개방형 의사소통은 중간값보다 높게 나타났으나 문제형 의사소통은 중간값보다 다소 낮게 나타났다. 둘째, 남학생이 여학생보다, 부모가 집을 비우는 날의 빈도가 많은 집단이, 생활수준이 낮은 집단이 높은 집단보다 인터넷 중독 수준이 높았고, 부모가 인터넷의 바람직한 사용을 위해 지도를 해 주는 경우, 인터넷 이용 동기가 새로운 정보를 얻기 위함인 경우, 인터넷을 메일이나 자료검색용으로 이용하는 경우에 인터넷 중독 수준이 낮았고, 한번 접속하면 오랫동안 인터넷을 이용하는 경우에 인터넷 중독 수준이 높았다. 셋째, 인터넷 비중독군은 중독군보다 개방형 의사소통을 많이 하는 것으로 나타난 반면, 인터넷 중독군의 경우 비중독군보다 문제형 의사소통을 더 많이 하는 것으로 나타났다. 넷째, 가족의 개방형 의사소통은 생활수준이 높을수록, 인터넷 이용에 대해 부모가 관심을 갖는 경우, 인터넷 중독 정도가 낮을수록, 인터넷 1회 이용시간이 짧을수록 더 많이 하는 것으로 나타났고, 문제형 의사소통은 인터넷 중독 정도가 높을수록 많이 하며, 생활수준이 높을수록 더 적게 하는 것으로 나타났다.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.312-318
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• 2021

Lack of knowledge and digital skills is a threat to the information security of the state and society, so the formation and development of organizational culture of information security is extremely important to manage this threat. The purpose of the article is to assess the state of information security of the state and society. The research methodology is based on a quantitative statistical analysis of the information security culture according to the EU-27 2019. The theoretical basis of the study is the theory of defense motivation (PMT), which involves predicting the individual negative consequences of certain events and the desire to minimize them, which determines the motive for protection. The results show the passive behavior of EU citizens in ensuring information security, which is confirmed by the low level of participation in trainings for the development of digital skills and mastery of basic or above basic overall digital skills 56% of the EU population with a deviation of 16%. High risks to information security in the context of damage to information assets, including software and databases, have been identified. Passive behavior of the population also involves the use of standard identification procedures when using the Internet (login, password, SMS). At the same time, 69% of EU citizens are aware of methods of tracking Internet activity and access control capabilities (denial of permission to use personal data, access to geographical location, profile or content on social networking sites or shared online storage, site security checks). Phishing and illegal acquisition of personal data are the biggest threats to EU citizens. It have been identified problems related to information security: restrictions on the purchase of products, Internet banking, provision of personal information, communication, etc. The practical value of this research is the possibility of applying the results in the development of programs of education, training and public awareness of security issues.

• 한국컴퓨터정보학회논문지
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• 제11권2호
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• pp.153-158
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• 2006

인터넷을 통한 문제풀이와 학습의 효과는 나날이 늘어가고 있는 추세이다. 본 논문에서는 자격증에 대한 정보와 필기 및 실기평가 문제가 데이터베이스화되어 있어 쉽게 접근할 수 있는 능동적인 학습 방법을 제시한다. 먼저, 가중치에 의한 사용자 프로파일의 정보를 이용하여 사용자의 특성에 맞는 문제를 필터링하여 제공함으로써 개별 평가가 가능하고 학습의 동기를 증진시키고 성취감을 느끼게 해준다. 그리고 자격증취득에 대한 지도와 관리를 통해 자격증 취득률을 향상시키고 진로에 대한 적극적인 관심과 인식을 새롭게 할 것이다. 본 논문의 방법을 이용한 경우 자격증 취득 시험 성적이 10점정도 상승한 것으로 나타났다.