• Title/Summary/Keyword: Internet item

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A Study on Generation and Parsing System for MPEG-21 Broadcasting Digital Item (MPEG-21 방송 디지털 아이템을 위한 생성 및 파싱 시스템에 대한 연구)

  • 김천석;한희준;노용만;남제호;홍진우
    • Journal of Broadcast Engineering
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    • v.8 no.1
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    • pp.80-90
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    • 2003
  • Today, thanks to the spread of Internet and the development of various multimedia technologies, broadcasting environment is changing in a way to merging broadcasting and communication environment. In such a new environment, transparent delivery and interoperability between different technologies become an important issue. In ISO/IEC MPEG meeting, MPEG-21 has been established. In MPEG-21, it is discussed actively about big picture to build an infrastructure for the delivery and consumption of multimedia contents. In this paper, we have applied Digital Item in MPEG-21 to broadcasting contents. Broadcasting Digital Item is generated using MPEG-7 MDS for the description of resources as well as Digital Item Declaration, and Digital Item Identification. Furthermore, we develop Digital Item generation system and parsing system. In experiment, we verify the usefulness of Broadcasting Digital Item by generating an education video contents and consuming it at different user environments.

Clothing Consumers' Percention of Benefits and Risks on Internet Shopping (전자상거래에서 의류소비자가 느끼는 이점과 위험지각에 관한 연구)

  • Kim, Ki-Chung;Kim, Sang-Won;Park, Jae-Young;Park, Hye-Sun
    • Korean Journal of Human Ecology
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    • v.9 no.1
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    • pp.97-106
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    • 2000
  • We investigated clothing consumers' perception of benefits and risks on internet shopping and tried to identify the perceptual differences according to presence of real experiences of internet shopping, intention to buy clothings using the internet, clothing items, and demographic variables. A total of 441 people aged of twenties and thirties were surveyed for analysis. The mean values, standard deviation, Student's t-test, paired t-test, ANOVA and multiple range test were used for statistical analysis. The results of this study included: 1. Clothing consumers perceived the internet shopping as a convenient, time-saving method, and an easy way to compare clothing items, but not a cheap tool. The most highly perceived risk was inability to identify the size of clothing item, followed by shortage of stock, delivery problem, color, textiles, after-service, and exposure of personal informations in a decreasing order. 2. Those who had real experiences of internet shopping or who had intention to use it tended to perceive more benefits and less risks on the internet shopping. 3. Perception of risks and benefits differed according to the clothing items and demographic variables.

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A Consideration about Online Ratings in Internet Shopping Malls (인터넷 쇼핑몰에서 고객의 상품평점에 대한 소고)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.22 no.2
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    • pp.309-315
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    • 2009
  • The degree of the impression about a special commodity in the internet shopping malls depends on the evaluation and the corresponding rating of customers who purchased and used this commodity. We can find the problems in online ratings system of Korean internet shopping malls and suggest the simple solutions.

Recommendation Technique using Social Network in Internet of Things Environment (사물인터넷 환경에서 소셜 네트워크를 기반으로 한 정보 추천 기법)

  • Kim, Sungrim;Kwon, Joonhee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.1
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    • pp.47-57
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    • 2015
  • Recently, Internet of Things (IoT) have become popular for research and development in many areas. IoT makes a new intelligent network between things, between things and persons, and between persons themselves. Social network service technology is in its infancy, but, it has many benefits. Adjacent users in a social network tend to trust each other more than random pairs of users in the network. In this paper, we propose recommendation technique using social network in Internet of Things environment. We study previous researches about information recommendation, IoT, and social IoT. We proposed SIoT_P(Social IoT Prediction) using social relationships and item-based collaborative filtering. Also, we proposed SR(Social Relationship) using four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We describe a recommendation scenario using our proposed method.

A Study on the Push-based Distance Education System and Leveling Estimation Algorithm (Push 기반 원격교육 시스템과 수준별 문항평가 알고리즘에 관한 연구)

  • 김원영;김치수;김진수
    • Journal of Internet Computing and Services
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    • v.2 no.3
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    • pp.19-25
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    • 2001
  • An educational system using computers was first conceptualized by Dr. Donald Bitzer in the University of Illinois in the late 1950s. Since the PLATO system was developed in 1961, multilateral research were made for the last 30 years. Especially, the development of Internet and Information Technology has contributed to the advancement of the distance education system. This system has greatly changed the existing educational paradigm, As the result, new education system is being realized, This study suggests a distance education system based on ‘push’ technique, which is a means of active information transmission, In this system, the ‘push’ technique is combined with the existing distance education system. Through the combination, learning contents can be provided for learners without connecting the DB on the Internet. In addition, the process of getting new information is real-timed operation. Also, the treatment of item; and the algorithm of level-based item evaluation are devised in consideration of various levels of learners, so that evaluation of items appropriate to the levels of learners can be accomplished.

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Personal and Environmental Predictors of Internet Addiction in Higher Grade Elementary School Students (초등학교 고학년 학생의 인터넷 중독에 영향하는 개인적, 환경적 요인에 대한 탐구)

  • Yoon, Young-Mi;Park, Hyo-Mi
    • Child Health Nursing Research
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    • v.12 no.1
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    • pp.34-43
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    • 2006
  • Purpose: The purpose of this study was to identify the degree of internet addiction and factors affecting internet addiction in elementary school students. Method: The participants in this study were 1,328 students in 4, 5 or 6 grades of elementary school. They were recruited from two elementary schools. Data collection was conducted using of 6 questionnaires that were modified by the investigator. The data were analyzed with the SPSS win 10.0 program using descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: 1) The mean of total item score for internet addiction was 2.1, which was slightly low. Of respondents in this research 48.4% normally use the internet, while 48.5% addictively use the internet and as high as 3.1% were serious internet-addicted. 2) There was a significant correlation between internet addiction, self-esteem, aggression, impulsivity, parent's support and friend's support(γ= -.15 ~ .44). 3) Stepwise multiple regression analysis showed that amount of time spent on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, and the major place where the internet was used were the predictors of internet addiction and accounted for 47% of the variance in internet addiction. Conclusion: Time spend on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, the major place where the internet was used accounted for internet addiction in elementary school students. Therefore it is necessary to develop nursing interventions and to further identify the depth of the relationship of the related factors in order to decrease internet addiction.

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An Adaptation System based on Personalized Web Content Items for Mobile Devices

  • Kim, Su-Do;Park, Man-Gon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.6
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    • pp.628-646
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    • 2009
  • Users want to browse and search various web contents with mobile devices which can be used anywhere and anytime without limitations, in the same manner as desktop. But mobile devices have limited resources compared to desktop in terms of computing performance, network bandwidth, screen size for full browsing, and etc, so there are many difficulties in providing support for mobile devices to fully use desktop-based web contents. Recently, mobile network bandwidth has been greatly improved, however, since mobile devices cannot provide the same environment as desktop, users still feel inconvenienced. To provide web contents optimized for each user device, there have been studies about analyzing code to extract blocks for adaptation to a mobile environment. But since web contents are divided into several items such as menu, login, news, shopping, etc, if the block dividing basis is limited only to code or segment size, it will be difficult for users to recognize and find the items they need. Also it is necessary to resolve interface issues, which are the biggest inconvenience for users browsing in a mobile environment. In this paper, we suggest a personalized adaptation system that extracts item blocks from desktop-based web contents based on user interests, layers them, and adapts them for users so they can see preferred contents first.

Development of an Item Based Learning System In Mobile Environment (모바일 환경에서 문제은행에 기반한 학습 시스템의 개발)

  • Jang Moo-Soo;Song Hee-Heon;Kang Oh-Han
    • Journal of Korea Society of Industrial Information Systems
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    • v.9 no.3
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    • pp.46-54
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    • 2004
  • As a consequence of expansion in information technology, various services continually have been provided us through the internet in these days. Since the beginning of the mobile service, contents for its service actively have been developing now; there fore, the existing internet service system is gradually changing into the wireless mobile service system. However, mobile service now in use is mostly for entertainment such as bell sound, game and so on. The existing contents are very insufficient to satisfy the education. In this thesis, we have developed new mobile contents that are combined with Item Pool System. Students can connect to the learning contents by using the mobile device in anywhere and anytime in order to promote the efficiency of study.

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An Improvement of Accuracy for NaiveBayes by Using Large Word Sets (빈발단어집합을 이용한 NaiveBayes의 정확도 개선)

  • Lee Jae-Moon
    • Journal of Internet Computing and Services
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    • v.7 no.3
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    • pp.169-178
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    • 2006
  • In this paper, we define the large word sets which are noble variations the large item sets in mining association rules, and improve the accuracy for NaiveBayes based on the defined large word sets. In order to use them, a document is divided into the several paragraphs, and then each paragraph can be transformed as the transaction by extracting words in it. The proposed method was implemented by using Al:Categorizer framework and its accuracies were measured by the experiments for reuter-21578 data set. The results of the experiments show that the proposed method improves the accuracy of the conventional NaiveBayes.

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A Study on Seafood Purchasing Behavior of Consumers in Suhyup Shopping Mall - Focus on Demographic Factor - (수협 쇼핑몰에서 소비자의 수산물 구매 행태 연구 - 인구통계학적 요인을 중심으로 -)

  • Park, Joon-Mo
    • The Journal of Fisheries Business Administration
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    • v.48 no.4
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    • pp.67-81
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    • 2017
  • The aims of this study is to analyze the purchasing behavior of customers purchasing seafood using internet shopping mall based on the sales data of Suhyup Shopping Mall in 2016. The research shows three facts. First, 46.1% of those customers marine products in Suhyup Shopping Mall are purchasing less than 2 times a year and 62.7% of them are purchasing less than 5 times a year. Seconds, The amount of purchases of marine products using Suhyup Shopping Mall is very small. The proportion of purchasers with less than ₩100,000 per year is 48.5%, and the proportion of customers with annual purchases of less than ₩300,000 is 68.2%. Last, Relatively strong items were found by region and age. Abortion was a relatively strong item in the 20s, and In the 30s, the aquatic product set was a relatively strong item. In the 60s are seashells / scallops / shellfish and other fish, 70s are dried yellow croaker, abalone, tile fish and other fish. In the 60s and 70s, the other fishes showed strong relative strengths in terms of quantity and amount. But There were no relatively strong items due to regional differences according to the metropolitan area and nonmetropolitan area.