• Title/Summary/Keyword: diversity management model

Search Result 197, Processing Time 0.023 seconds

Web-based Research Assistant Tools for Analysis of Microbial Diversity (미생물 다양성 분석을 위한 웹기반의 생물정보도구 개발)

  • Kang, Byeong-Chul;Kim, Hyun-Jin;Park, Jun-Hyung;Park, Hee-Kyung;Kim, Cheol-Min
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.14 no.5
    • /
    • pp.545-550
    • /
    • 2004
  • The study of available genotypes (biodiversity analysis) in bacterial communities is of growing importance in several fields such as ecology, environmental technology, clinical diagnostics, etc. These culture-independent genotyping techniques, especially amplifying 16S rRNA genes, attempt to overcome some shortcomings of conventional cultivation method. Biodiversity analysis based on molecular technique were laborious for base-calling chromatogram, trimming primer sites, correcting strand directions, electing representative operation taxonomic units (OTU), etc. Also, biologists wanted intuitively to confirm results of the above processes. For making up these demands, we developed the web application based on Folder-Process-Filter (FPF) modeling with correspondence to classical Model-View-Controller model. The model of web application leads to keep virtues of simplicity and directness for development and management of the stepwise web interfaces. The web application was developed in Perl and CGI on Linux workstation. It can be freely accessed from http://home.pusan.ac.kr/~genome/tools/rat.htm.

The Proposal of a Small-Size Business Model based on a 3D Printer : Focused on Sunglasses for Children (3D 프린터를 활용한 소규모 비즈니스 모델 제안 : 유아동 선글라스를 중심으로)

  • Kim, Se-yeong;Kim, Suk-Rae
    • Journal of Digital Convergence
    • /
    • v.16 no.11
    • /
    • pp.455-464
    • /
    • 2018
  • Recognizing the shortage of information about business models to generate profit despite the designers' recent interest in 3D printers as a new creative tool, this study set out to make sunglasses for young children, which lacked diversity in sizes according to age due to the small market scope under the old mass production system, by taking advantage of 3D printers' strength in the small batch production of customized products and propose a practical example to be expandable as a small-size business model. For these purposes, the investigator summarized the basic information about the 3D printing technology and the basic structure of sunglasses and made a size table to manufacture sunglasses for young children by analyzing the size table for vision correction. After this series of work, the study presented final product with the production costs and demonstrated that sunglasses for young children made with a 3D printer could be a practical case expandable as a competitive small-size business model in the market.

Extended Forecasts of a Stock Index using Learning Techniques : A Study of Predictive Granularity and Input Diversity

  • Kim, Steven H.;Lee, Dong-Yun
    • Asia pacific journal of information systems
    • /
    • v.7 no.1
    • /
    • pp.67-83
    • /
    • 1997
  • The utility of learning techniques in investment analysis has been demonstrated in many areas, ranging from forecasting individual stocks to entire market indexes. To date, however, the application of artificial intelligence to financial forecasting has focused largely on short predictive horizons. Usually the forecast window is a single period ahead; if the input data involve daily observations, the forecast is for one day ahead; if monthly observations, then a month ahead; and so on. Thus far little work has been conducted on the efficacy of long-term prediction involving multiperiod forecasting. This paper examines the impact of alternative procedures for extended prediction using knowledge discovery techniques. One dimension in the study involves temporal granularity: a single jump from the present period to the end of the forecast window versus a web of short-term forecasts involving a sequence of single-period predictions. Another parameter relates to the numerosity of input variables: a technical approach involving only lagged observations of the target variable versus a fundamental approach involving multiple variables. The dual possibilities along each of the granularity and numerosity dimensions entail a total of 4 models. These models are first evaluated using neural networks, then compared against a multi-input jump model using case based reasoning. The computational models are examined in the context of forecasting the S&P 500 index.

  • PDF

Effects on a Nutrition Teacher's Satisfaction for the School Food Service Center in the Chungnam Province (충남지역 영양교사의 학교급식지원센터 만족도에 미치는 영향)

  • Lee, Seog-Won;Yang, Sung-Bum
    • The Korean Journal of Food And Nutrition
    • /
    • v.30 no.6
    • /
    • pp.1245-1251
    • /
    • 2017
  • The objective of this study is to investigate the satisfaction of elementary, middle and high school nutrition teachers in the Chungnam province concerning the free school food service. We surveyed satisfaction related to policies on school food service and the school food service center. Satisfaction on the school food service center was separated according to four dimensions; perception, food materials, operational system and service. Furthermore, we analyzed factors that affect satisfaction with the school food service center with a multiple regression model. First, satisfaction about the free school food service and dietary life education are higher than the total average of satisfaction with the policy about the school food service. Second, satisfaction about a variety of food materials and reasonable prices are lower than total average of satisfaction with the school food service center. Third, when more teachers have a high level of a positive perception and have higher satisfaction with the operational system of the school food service center, then they also subsequently display higher satisfaction with the school food service center. Therefore it is necessary to improve or make up for pricing and diversity on food materials by the school food service center.

The Influence of Learning Styles on a Model of IoT-based Inclusive Education and Its Architecture

  • Sayassatov, Dulan;Cho, Namjae
    • Journal of Information Technology Applications and Management
    • /
    • v.26 no.5
    • /
    • pp.27-39
    • /
    • 2019
  • The Internet of Things (IoT) is a new paradigm that is revolutionizing computing. It is intended that all objects around us will be connected to the network, providing "anytime, anywhere" access to information. This study introduces IoT with Kolb's learning style in order to enhance the learning experience especially for inclusive education for primary and secondary schools where delivery of knowledge is not limited to physical, cognitive disabilities, human diversity with respect to ability, language, culture, gender, age and of other forms of human differences. The article also emphasizes the role of learning style as a discovery process that incorporates the characteristics of problem solving and learning. Kolb's Learning Style was chosen as it is widely used in research and in practical information systems applications. A consistent pattern of finding emerges by using a combination of Kolb's learning style and internet of things where specific individual differences, learning approach differences and IoT application differences are taken as a main research framework. Further several suggestions were made by using this combination to IoT architecture and smart environment of internet of things. Based on these suggestions, future research directions are proposed.

Performance Modeling of STTC-based Dual Virtual Cell System under the Overlay Convergent Networks of Cognitive Networking (중첩 융합 네트워크 환경을 고려한 STTC기반 이중 셀 시스템 분석 모델)

  • Choi, YuMi;Kim, Jeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.49 no.12
    • /
    • pp.20-26
    • /
    • 2012
  • The newly introduced model of a STTC-based Distributed Wireless Communication System (DWCS) can provide the capability of joint control of the signals at multiple cells. This paper has considered the virtual cell systems: the Dual Virtual Cell (DVC), and also proposes DVC employment strategy based on DWCS network. The considered system constructs DVC by using antenna selection method. Also, for multi-user high-rate data transmission, the proposed system introduces multiple antenna technology to get a spatial and temporal diversity gain and exploits space-time trellis codes known as STTC to increase a spectral efficiency.

A New Higher Education Policy In Russia : Enhancing Meaning-Centered Education via its Realization

  • Ivashchenko, Natalia P.;Malovichko, Tatyana V.
    • Asia-Pacific Journal of Business
    • /
    • v.5 no.1
    • /
    • pp.43-53
    • /
    • 2014
  • Social and economic changes in the world, along with changes in the culture of government and structural changes in the relationship between the state, the market and higher education institutions, have resulted in new approaches pursued by states towards higher education (Konstantinov & Philonovich, 2007; Peterka, 2011). Higher education institutions, in its turn, enjoy more freedom in choosing to focus on various tasks and goals to their academic activities. This contributes to the diversity of expectations when it comes to the various roles modern academic institutions take on with regard to their development. Among many existing concepts in the current academic environment, the concept of "entrepreneurial university" is becoming a critically important concept in Russia. In this article, we consider the concept of the Entrepreneurial University as developed in Clark and Etzkowitz's theories, and the ways the concept is being adjusted in the higher education system in Russia. We analyze comparatively both contemporary and prior historical [1990s-mid2000s] state policies pertaining to higher-education institutions in Russia in order to provide an insight into how the national market of knowledge intensive production is being established in the country. As a consequence of these analyses, we present a new model of how universities can take a more systemic and meaningful approach to creating research-based innovation entrepreneurial activities. This approach is also viewed as making universities' innovation activities more sustainable and thus less dependent on the state support.

  • PDF

Factors Affecting the Market Share of Retailers: Evidence from Vietnam

  • PHAM, Hung Cuong
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.7 no.11
    • /
    • pp.413-419
    • /
    • 2020
  • This research focuses on the analysis of factors affecting the market share of retailers in Vietnam. This research uses Smith and Chaffey's (2005) 5Ss e-marketing model for analysis, which include Sell, Serve, Speak, Save, and Sizzle. Both quantitative and qualitative methods will be used to conduct the study. The researchers collected information from customers, managers, and directors in 25 retailers in Vietnam. A survey questionnaire was delivered to 15 people in each of the retailers who are customers, managers and directors. The researcher used the SPSS 16.0 software to analyze the data collected and in-depth interviews were carried out with the purpose of testing the hypothesis as well as the overall framework of the research. Out of the 375 questionnaires delivered, 360 were returned. The means of 23 items in the survey questionnaire ranged from 3.3733 to 4.3533 representing the outcome of the descriptive analysis. Research results showed that Cronbach's Alpha coefficient of five factors affecting the market share of the retailers is sizzle, save, sell, serve and speak. This research has proposed some implications for the market share of retailers, including technology enhancement for full message delivery, ways to approach target customers, and improving product diversity.

Study on Fish Diversity by Impervious Cover of Gyeongan-Stream Watershed (경안천 유역의 불투수면에 따른 어류다양성 연구)

  • Choi, Sun Hee;Kwon, Sun Soon;Lee, Sang Don
    • Journal of Wetlands Research
    • /
    • v.14 no.4
    • /
    • pp.561-569
    • /
    • 2012
  • This study estimates landscape indices of the Gyeongan-stream watershed from 1975 to 2000 by classifying the land cover into impervious cover and pervious cover depending on its state using a landscape analysis program. For the indicator of biodiversity this study uses Total Core Area(TCA) among landscape indices. The estimated TCA is then used along with an Impervious Cover Model(ICM) to compare the number of fish species that appear in the Gyeongan-stream watershed. In the relations between TCA and the impervious cover ratio, it has been found that as the impervious cover ratio increases, TCA decreases accordingly. It shows that as the ratio of impervious cover in the landscape increases due to urbanization and development, the critical area that individual species need for isolation from outside has decreased. Also, the monitoring of the number of fish species that appear in the Gyeongan-stream watershed shows that in the areas with low impervious cover ratio there are more fish species appearing that inhabit in clean, uncontaminated water. It has been identified that the Gyeongan-stream watershed falls into the category of Impacted Stream and that its state is worsening, and since the watershed in this area responds to the impervious cover ratio very sensitively, its fish diversity it is required to improve the state of the basin through its proper and careful management.

Social security aimed disaster response policy based on Big Data application (사회안전을 위한 빅데이터 활용의 재난대응 정책)

  • Choung, Young-chul;Choy, Ik-su;Bae, Yong-guen
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.20 no.4
    • /
    • pp.683-690
    • /
    • 2016
  • In modern society, disasters frequently occur, and the effect is getting more massive. Also, unpredictable future increases anxiety about social security. Accordingly, in order to prevent national-scale emergency from happening, it is highly required governments' role as ICT power nation and transition to disaster management system using big data applied service. Thus, e-gov necessarily acquires disaster response system in order to predict and manage disasters. Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, this manuscript suggests epidemics preactive warning algorithm model as a mean of reduce national anxiety on disaster using big data for social security. Also, by recognizing the importance of e-gov and analyzing problems in weak disaster management system, it suggests political implication for disaster response.