• Title/Summary/Keyword: usage model

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A Study on the Relationship of Air Pollution and Meteorologic Factors in a Specific Site (서울 일부지점의 대기오염 농도와 기상인자의 관련성 연구)

  • 신찬기;김윤신
    • Journal of environmental and Sanitary engineering
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    • v.7 no.2
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    • pp.141-152
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    • 1992
  • Simple correlation analysis, factor analysis, and multi-verite analysis have been performed to analyze the relationship between air pollution and meteorological factors for air pollution and meteorological data measured at Kwanghwamun in Seoul during the period of one year (January 1990" December 1990). As a result of simple correlation and factor analysis, $SO_2$, TSP and CO concentrations have shown high negative correlation with temperature and among these indicating that these are related with pollutants emission trend based upon heating fuel usage. Ozone has a good correlation with solar radiation and relative humidity to have a closed relation with $0_3$ generation reaction mechanism. The result of multi-variate correlation analysis shows that the concentration of $SO_2$ and CO are adequate for correlation model with ambient temperature and wind speed and 0$_{3}$ concentrations are adequate for that with solar radiation and wind speed. $SO_2$ and CO levels are considered to be affected first of all by heating fuel usage as a emission source and wind speed as a dispersion effect. The $SO_2$ concentration in the condition that the temperature fall below zero is explained by multiplicative model with wind speed, only one variable.

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The impact of motivation of using the corporate Facebook on consumer-brand relationship : Focused on a Self-Determination Motivation Theory (SNS 이용동기가 브랜드 관계에 미치는 영향 관계 고찰: 자기결정이론 적용을 중심으로)

  • Lee, Eun-Ji;Koo, Chul-Mo
    • The Journal of Information Systems
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    • v.27 no.1
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    • pp.67-88
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    • 2018
  • Purpose The purpose of this study is to verify motivations of corporate Facebook usage and to examine the impacts of usage motivations on brand attachment, trust and loyalty. Design/methodology/approach A conceptual model is developed based on Self-determination theory(SDT) and the previous studies. We conducted a web survey with a convenient sample of 121 Facebook users who clicked "Like" button on the corporate Facebook pages. Findings The followings are the findings of the study. First, intrinsic motivation(Entertainment) turned out to have positive effects on brand attachment. Second, extrinsic motivation(information exchange) turned out to have positive effects on brand trust. Third, brand attachment turned out to have positive effects on brand loyalty. These findings provide a valuable basis for constructing an explanatory model for "Like"-clicking behaviors of corporate's Facebook community platform users, as well as making significant practical contributions to enhance social and commercial benefits for businesses and individuals.

The Influence of Activities in Virtual Communities on Usage of P2P Services (가상커뮤니티 활동성이 P2P서비스 이용도에 미치는 영향)

  • Kim, Chang-Kyu;Kim, Sang-Hoon
    • Journal of Information Technology Services
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    • v.6 no.3
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    • pp.69-86
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    • 2007
  • As most of firms related with P2P services change their free services into fee-charging services, the problems of intellectual property rights are solved to satisfactory extent. Accordingly, P2P systems become more popular with the general public. In this respect, it is thought to be very important to research on the critical factors affecting usage of P2P systems. Although it is strongly expected that the characteristics of users activities in virtual communities affect the intention to re-use P2P systems, relatively few attention have been paid to this question. Therefore, this paper is to present empirical evidence to explain how the characteristics of users activities in virtual communities affect re-use intention of P2P services. The theoretical contribution of this study is that the characteristics of users activities in virtual communities is theoretically derived from the comprehensive literature review and the logical reasoning, and that the research model of the relationship between the users activities' characteristics in virtual community and the re-use intention of P2P services is proposed and empirically validated, which is expected to expand explaining power of the TAM(Technological Acceptance Model). Also, the practical implication is to provide the guideline to support the successful strategic planning for development and.operation of P2P services through the virtual communities.

A Study on Risk Assessment Model for Occupational Health and Safety Management System - Focused on Organization Using Chemical Material - (안전보건경영시스템 구축을 위한 위험성평가모델에 대한 연구 - 화학물질 사용조직을 중심으로 -)

  • Cho, Kyeong-Seok;Lee, Chang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.1-9
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    • 2014
  • The occupational health and safety accidents were continuously increased during handling, usage and manufacturing the chemical materials according to increase of small and medium sized enterprises in domestic industries. These accidents mainly resulted from insufficient occupational health and safety management and deteriorative facilities and focused on corresponding operation to minimize the damage of accidents after occurrence. But, it was required that we grasped the occurrence causes of occupational health and safety risk in handling, usage and manufacturing the chemical materials and develop the adequate corresponding operation and system according to the possible occurrence of occupational health and safety risk. This study deals with the development of risk assessment model to derive the risk and important risk of occupational health and safety and then help to construct the self-controlled occupational health and safety system for small and medium sized enterprises handling the chemical materials.

Color Preference of the Elderly for the Apartment Interior Color planning (노인수요계층의 아파트 실내 색채계획을 위한 색채선호 연구)

  • Jun, Eun-Jung;Cho, Sung-Heui
    • Korean Institute of Interior Design Journal
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    • v.15 no.6 s.59
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    • pp.221-228
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    • 2006
  • The purpose of this research is to investigate the tendency of color preference for the elderly in housing. For this, a questionnaire survey was carried out with color chips and 9 photos of the living rooms which were chosen among apartment model houses in Pusan. Preference of color usage was measured by SD scale developed by advertising adjectives for the model houses. The result of this study are as follows: 1) The preferred color image was characterized as soft, warm and simple. The main factors of color image were identified and named as 'dignity factor' and 'personality factor'. 2) The elderly preferred G generally, but R for dominant color of the living room. They distinguished their attitudes about the color by the purpose of color usage. 3) For colors of architectural components of the living room, preferred colors were narrowed Y, YR and R for wall, art wall and floor. Beige was the most popular color in the living room for the elderly. This research can contribute to the basic data of color planning for the elderly housing.

Energy Management Technology Development for an Independent Fuel Cell-Battery Hybrid System Using for a Household (가정용 독립 연료전지-배터리 하이브리드 에너지 관리 기술 개발)

  • YANG, SEUGRAN;KIM, JUNGSUK;CHOI, MIHWA;KIM, YOUNG-BAE
    • Journal of Hydrogen and New Energy
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    • v.30 no.2
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    • pp.155-162
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    • 2019
  • The energy management technology for an independent fuel cell-battery hybrid system is developed for a household usage. To develop an efficient energy management technology, a simulation model is first developed. After the model is verified with experimental results, three energy management schemes are developed. Three control techniques are a fuzzy logic control (FLC), a state machine control (SMC), and a hybrid method of FLC and SMC. As the fuel cell-battery hybrid system is used for a house, battery state of charge (SOC) regulation is the most important factor for an energy management because SOC should be kept constant every day for continuous usage. Three management schemes are compared to see SOC, power split, and fuel cell power variations effects. Experimental results are also presented and the most favorable strategy is the state machine combined fuzzy control method.

Energy and Service Level Agreement Aware Resource Allocation Heuristics for Cloud Data Centers

  • Sutha, K.;Nawaz, G.M.Kadhar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5357-5381
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    • 2018
  • Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.

A COMPARATIVE STUDY ON BLOCKCHAIN DATA MANAGEMENT SYSTEMS: BIGCHAINDB VS FALCONDB

  • Abrar Alotaibi;Sarah Alissa;Salahadin Mohammed
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.128-134
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    • 2023
  • The widespread usage of blockchain technology in cryptocurrencies has led to the adoption of the blockchain concept in data storage management systems for secure and effective data storage and management. Several innovative studies have proposed solutions that integrate blockchain with distributed databases. In this article, we review current blockchain databases, then focus on two well-known blockchain databases-BigchainDB and FalconDB-to illustrate their architecture and design aspects in more detail. BigchainDB is a distributed database that integrates blockchain properties to enhance immutability and decentralization as well as a high transaction rate, low latency, and accurate queries. Its architecture consists of three layers: the transaction layer, consensus layer, and data model layer. FalconDB, on the other hand, is a shared database that allows multiple clients to collaborate on the database securely and efficiently, even if they have limited resources. It has two layers: the authentication layer and the consensus layer, which are used with client requests and results. Finally, a comparison is made between the two blockchain databases, revealing that they share some characteristics such as immutability, low latency, permission, horizontal scalability, decentralization, and the same consensus protocol. However, they vary in terms of database type, concurrency mechanism, replication model, cost, and the usage of smart contracts.

Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

A Study of Consumers' Perceived Risk, Privacy Concern, Information Protection Policy, and Service Satisfaction in the Context of Parcel Delivery Services

  • Se Hun Lim;Jungyeon Sung;Daekil Kim;Dan J. Kim
    • Asia pacific journal of information systems
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    • v.27 no.3
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    • pp.156-175
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    • 2017
  • The proposed conceptual framework is based in the relationships among knowledge of personal information security, trust on the personal information security policies of parcel delivery service companies, privacy concern, trust in and risk of parcel delivery services, and user satisfaction with parcel delivery services. Drawing upon both cognitive theory of emotion and cognitive emotion theory that complement each other, we propose a research model and examine the relationships between cognitive and emotional factors and the usage of parcel delivery services. The proposed model is validated using data from customers who have previously used parcel delivery services. The results show a significant relationship between the cognitive and affective factors and the usage of parcel delivery services. This study enhances our understanding of parcel delivery services based on the consumers' psychological processes and presents useful implications on the importance of privacy and security in these services.