• Title/Summary/Keyword: Internet activity

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The Analysis Method based on the Business Model for Developing Web Application Systems (웹 응용 시스템 개발을 위한 업무모델 기반의 분석방법)

  • 조용선;정기원
    • Journal of KIISE:Software and Applications
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    • v.30 no.12
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    • pp.1193-1207
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    • 2003
  • Various web applications are developed as the Internet is popularized in many fields. However, in most cases of web application development, systematic analysis is omitted and developers jump into the implementation. Therefore developers have difficulties with applying the development methods for a large scale project. The approach of creating an analysis models of a web application from a business model is proposed for the rapid and efficient development. The analysis process, tasks and techniques are proposed for this approach. The use case diagram and web page list are created from business modes that is depicted using the notation of UML activity diagram. The page diagram and logical / physical database models are created using the use case diagram and the web page list. These analysis models are refined during the detailed design phase. The efficiency of proposed method has been shown using a practical case study which reflects the development project of the web application for supporting the association of auto repair shops.

Demand Analysis of Technology Development for Smart Village based on Community Activities (공동체 활동을 기반으로 한 스마트빌리지 기술개발 수요분석)

  • Park, So Yeon;Cho, Hyejin;Jung, Nam-Su
    • Journal of Korean Society of Rural Planning
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    • v.26 no.2
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    • pp.117-126
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    • 2020
  • In this study, demands of smart technology development were analyzed for rural village communities. Questionnaire items were derived by grasping the current status of information and communication technology. 49 villages in 8 regions were selected and surveys and statistical analysis were conducted. The main results of the study are as follows. First, 92% of community leaders use smartphones, search for information (38%), communicate with the Internet (36%) using smartphones, use KakaoTalk (31%), and Facebook (24%). Second, in the rural and urban exchange activities, promote support information service (51%) and promote method suggestion service (48.5%) showed that the demand for services in promote field was high. It is linked to the creation of economic opportunities. Third, in the income and production activities, demand for distribution services technology (39.3%) was high in the field of production and distribution, and cold chains that help maintain freshness until food, such as meat, fish, and vegetables are delivered to consumers when agricultural products are distributed. The constant temperature control system needs to be actively introduced. Fourth, autonomy activities showed the highest demand for air conditioning and control systems (34.2%) of community building, and the lowest demand for electronic voting (9.4%) and videoconferencing (9.4%) services. Lastly, in the general activity area of the community, the demand for technology of emergency services (37.1%) and health self-diagnosis service (35.4%), which are technologies in the welfare sector, ranked first and second respectively.

School child health communication activity needs in Seoul : Focused on school-based health fairs (서울지역 초등학생들의 보건의사소통 요구도 특성 : 학교 건강관련 행사를 중심으로)

  • Park, Kyoung-Ok
    • The Journal of Korean Society for School & Community Health Education
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    • v.6
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    • pp.75-87
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    • 2005
  • The purpose of this study was to describe elementary school students' health communication needs based on school-based health fairs by students' demographic characteristics and school health education experiences. A self-administered survey was conducted to a total of 851 fifth-grade students in 8 elementary schools in Seoul. For survey participant sampling, Seoul area was divided into four districts: north, south, east, and west, and two elementary schools were selected from each district by the stratified convenient sampling process. Three class 5th-grade students in each selected school finished the survey. Questionnaires and survey instruction letters were delivered to vice-principals in the designated schools and the vice-principals managed the survey process. The survey Questionnaire included demographic characteristics (sex, parent's marital status, parents' educational status, famil financial status, the person whom was with after school, and daily computer hour), health education experiences (health education at school, and school health education satisfaction), and health communication types. The health communication types were reorganized into eight types based on comprehensive literature review on health fairs (or child and adolescence. The health communication types were 'health exam and advice fair,''health promotion advertising and campaign,' 'health-related exhibition and experience fair,' 'profession visit-in-school education,' 'health-related VCR or movie festival,' 'health-related institute visits,' 'internet health counseling,' and 'telephone health counseling.' Regarding demographic characteristics, sex, family financial status, and academic performance were significant factors related to health communication need scores (p <.05). Girl, high level of family financial status, and excellent academic performance score were related to high score of health communication need. In terms of school health education experience, taking regular class for health education and satisfaction with school health education were linked to higher health communication need scores. This result discusses that experience and satisfaction with school health education largely contribute to building participants' health communication concepts and needs.

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Compliance and Need Assessment for Diet Therapy among Diabetics and Their Caregivers (당뇨환자와 보호자의 당뇨식사요법 실천과 요구도 조사)

  • 박광순;이선영
    • Korean Journal of Community Nutrition
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    • v.8 no.1
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    • pp.91-101
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    • 2003
  • The purpose of this study was to investigate the compliance and need for diet therapy among diabetics and their caregivers. A total of 625 respondents participated in this survey. Appropriate management for long-term blood glucose control and difficult-to-manage cases appeared to be diet therapy, physical activity, medical treatment and folk remedies, in that order. The most important educational avenues for diet therapy were books, magazines and TV, Most respondents were educated in diet therapy within a year after diagnosis and had practiced diet therapy for over four years. The most common diet therapy Practices were food selection and Quantity control. Of the specific problems in practicing diet therapy, time and labor, taste, and meal planning appeared to be equally difficult factors. The prevailing diet therapy skills were controlling food amounts at breakfast and supper, and selecting food for lunch and refreshments. Respondents practicing both skills were about 20% of the participants; this shows the need to improve the current situation. The nutrients most frequently considered in diet therapy practice were simple sugars (sugar and sweet goods) , total fats and cholesterol. Since the perception of the role of dietary fiber among respondents was very low, nutrition education about the importance of dietary fiber and food sources of dietary fiber was needed. Diabetics seemed to be concerned about diabetic menus. Three difficult problems in planning diabetic menus were daily menu planning, patient's preferences, and the calculation of calories. As a means of nutrition counseling, they preferred interviews. The higher the educational status and the lower the age, the higher the preference was for internet or PC counseling. Therefore, it is necessary to develop nutrition educational programs so that diabetics can obtain practical knowledge of diet therapy. Furthermore, it is also necessary to develop additional means of informing diabetics about menu planning, while still considering Korean dietary behavior.

Rethinking of Self-Organizing Maps for Market Segmentation in Customer Relationship Management (고객관계관리의 시장 세분화를 위한 Self-Organizing Maps 재고찰)

  • Bang, Joung-Hae;Hamel, Lutz;Ioerger, Brian
    • Journal of Intelligence and Information Systems
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    • v.13 no.4
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    • pp.17-34
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    • 2007
  • Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

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Correspondence Strategy for Big Data's New Customer Value and Creation of Business (빅 데이터의 새로운 고객 가치와 비즈니스 창출을 위한 대응 전략)

  • Koh, Joon-Cheol;Lee, Hae-Uk;Jeong, Jee-Youn;Kim, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.229-238
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    • 2012
  • Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

A Development of the Customer based On-premise ERP Implementation Process Framework

  • Oh, Deok-Soo;Kim, Hyeong-Soo;Kim, Seung-Hee
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.257-278
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    • 2021
  • As the definition of the vendor-oriented implementation method, which was utilized in adopting an ERP system, has been centered around the project construction business, it was difficult for the EPR adopting organization to systematically prepare ERP projects and have enough deliberative opportunities to change-related policies. Furthermore, this method does not have a fully standardized construction process. Accordingly, by defining an organization that wants to adopt an ERP system as a customer, this paper develops the customer-based ERP construction process framework that assists both customers and developers who construct the system. For this purpose, this paper reviews the previous research and collects the construction processes of the commercial ERP SW vendor and ERP construction cases while proposing the three-layer process framework to construct ERP through the KJ method. The ERP process framework consists of 7 processes, 32 activities, 141 tasks while providing definitions for concepts of each component. Furthermore, the proposed processes and phases were set in order of the recommended execution, while the activities were suggested as an open-ended type so that the application and usability can be increased and polished by reflecting experts' opinions. The contribution of this study is to standardize the ERP project process by transforming the previous supplier-based ERP construction method into the customer-based one while providing important procedure and activity frameworks that apply to diverse ERP solutions per vendor. At the same time, this study provides an theoretical foundation to develop the construction process for the customer -based Cloud ERP. In practice, At the beginning of the ERP system construction project, it provides communication or process tailoring tools for the stakeholder.

Health Monitoring of Livestock using Neck Sensor based on Machine Learning (목걸이형 센서를 이용한 머신러닝 기반 가축상태 모니터링)

  • Lee, Woongsup;Park, Seongmin;Ban, Tae-Won;Kim, Seong Hwan;Ryu, Jongyeol;Sung, Kil-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1421-1427
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    • 2018
  • Due to the rapid development of Internet-of-Things technology, different types of smart sensors are now devised and deployed widely. These smart sensors are now used in animal husbandry which was traditionally managed by the experience of farmers, such that wearable sensors for livestock, and the smart farm which is equipped with multiple sensors are utilized to increase the efficiency of livestock management. Herein, we consider a scheme in which the body temperature and the level of activity are measured by smart sensor which is attached to the neck of dairy cattle and the health condition is monitored based on collected data. Especially, we find that the estrous of dairy cattle which is one of most important metric in milk production, can be predicted with high precision using various machine learning techniques. By utilizing the proposed prediction scheme, estrous of cattle can be detected immediately and this can improve the efficiency of cattle management.

3GPP Standardization Activity for Small Cell Enhancement (3GPP 소형셀 향상 표준화 기술 동향)

  • Baek, SeungKwon;Chang, SungCheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.628-631
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    • 2014
  • Recently, the proliferation of new applications, e.g., mobile TV, Internet gaming, large file transfer, and the various of user terminals, e.g., smart phones and notebooks, has dramatically increased user traffic and network load. In order to meet this traffic growth, vendors and cellular operators are working on the development of new technologies and cellular standards. Within them, small cell deployment has been heralded as one of most promising way to increase both coverage and capacity of future cellular network. Small cell technology enables to improve capacity of cellular radio network by tight cooperation between small cell and macro cell in multi-tier network where small cells are densely deployed within macro cell coverage. In this paper, we describe the deployment scenarios for cooperation between macro cell and small cells and state-of-the-art technologies related to dense small cell deployment. Then, we also provide design principles and standardization trends for small cell enhancement in 3GPP.

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DEVELOPMENT TRENDS OF THE DIGITAL ECONOMY: E-BUSINESS, E-COMMERCE

  • Volkova, Nelia;Kuzmuk, Ihor;Oliinyk, Nataliia;Klymenko, Iryna;Dankanych, Andrii
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.186-198
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    • 2021
  • The introduction of digital technologies affects most socio-economic processes and activities in the economy, from agriculture to public services. Even though the world is currently only in the early stages of digital transformation, the digital economy is growing rapidly, especially in developing countries. Shortly, digital platforms will be able to replace the "invisible hand" of the market and turn it into digital. Some digital platforms have already reached global reach in some sectors of the economy. The growing value of data and artificial intelligence is reflected in the high capitalization of these enterprises. Their growing role has far-reaching consequences for the organization of economic activity and integration into the field of e-business. However, their importance and level of development in different countries differ significantly. The main purpose of this article is an assessment of the level and trends of the digital economy in the world and the identification of homogeneous groups of states following the main trends in the development of its components from among the EU countries. The methodology of the conducted research is based on the use of general scientific research methods in the analysis of secondary sources and the application of statistical methods of correlation-regression and cluster analysis. Macroeconomic indicators and components of DESI (Digital Economy and Society Index) were used for the analysis. Results. Based on the analysis established that most developed countries have a medium level of digitalization of the business environment and a high level of digitalization of socially oriented public services, while countries with lower GDP focus their policies on building digital infrastructure and training qualified personnel. The study summarizes and analyzes current trends in digital technology, analyzes the level and dynamics of integration of digital technologies of the studied EU countries, the level of development of e-business and e-commerce. The conceptualization of mechanisms of creation of added value in the digital economy is offered and the possible consequences of digitalization of the economy of developing countries are generalized.