• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.205-211
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• 2008

Conventional context-aware service models permit the access of resources only by user authentication, but the ubiquitous environments where the context information around users is changing frequently require the resource access control according to the rapid changes. This paper proposes a scheme to control access permission of resource dynamically as context information of user changes. Our access control model is based on traditional CASA (Context-Aware Security Architecture), but can restrict the access of the user already has been authorized. With the real-time checking of context information, our scheme gives different access controls according to changes in environmental information, and provides more secure services than conventional context-aware models.

• Journal of Family Resource Management and Policy Review
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• v.2 no.2
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• pp.21-37
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• 1998

The purpose of this study was to investigate the hypothesijed a causal model of sujective perception of contribution to the family economy utilijing system theory. The major findings of this study were as follows. 1) The mean score of respondent’s personal subsystems were 3.62 out of 5. And the family solidarity was affected by the following variables in order : housewives’ age, income, type of occupation, degree of resourcefulness recognition, job satisfaction, control orientation, and information utilization. 2) The mean score of managerial subsystems were 3.68 out of 5. And The financial management of housewives was affected by the following variables. in order: housewives’ type of occupation, degree of resourcefulness recognition, control orientation, information utilization. 3) The mean score of housewives’subjective perception of Economic Contribution to the Family was 3.36 out of 5. The sujective perception of contribution to the family economy of the employed housewives were greater than unemployed housewives. 4) It was found that managerial subsystems had mostly effected on sujective perception of economic contribution to the family.

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.1-21
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• 2006

The purpose of this study was to examine the variables which account for grandchildren caregivers' subjective well-being. The subjects of this research were 100 grandmothers who are currently caring for grandchildren. The instruments used for this study were 'Job Content Questionnaire' by Karasek(1979), 'Family Support Inventory for Worker' by King, Mattimore, King, & Adams(1995), 'Social Support Scale' by Park(1985) and 'Psychological Positive Functioning' by Ryff(1989). Data was analyzed by descriptive statistics, Pearson's correlations and hierarchical multiple regression. The major results of this study are as follows; First, grandchildren caregiving's demand level was negatively related to grandmothers' subjective well-being, but it's control and support level were positively related to them. Second, the variables that explained grandchildren caregivers' sutjective well-being were their marital status, income, material reward, and family support. When they had a husband, the more money they had, and with more rewards for caregiving plus family support given, the more positive subjective well-being they had.

• Computers and Concrete
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• v.21 no.6
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• pp.697-703
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• 2018

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

• Journal of Environmental Science International
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• v.12 no.3
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• pp.359-366
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• 2003

Ecological society and energy conservative systems has become a subject of world wide attention. To examine the technologies of such systems as resource recycling society, this study is proposed for using rainwater as energy source and water resources in urban area. Useful informations for planning of utilizing rainfall as energy source, water resources, emergency water and controlling flood are discussed with model systems in urban area. It is calculated that the rate of utilizing rainwater, amounts of utilizing rainwater, substitution rate of supply water, amounts of overflow rainwater according to rain storage tank volume. By applying the past weather data, The optimum volume of rain water storage was calculated as 200m$^3$ which mean no benefits according to the increase of storage tank volumes. For optimum planing and control method at the model system, several running method of rainwater storage tank was calculated. The optimum operating method was the using weather data as 3hours weather forecast.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.75-85
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• 2003

With recent advances in technology and the changing nature of business, call center management has become a rapidly growing industry. However theoretical analysis about the call center system is very difficult, and the forecasting of call volume also. In the situation, it is significant that we study call-flow system, design system model and perform simulation. If these are possible, it is able to control the staff schedule and the resource management efficiently. This study introduces the process of applying the call center to simulation. So, it is feasible to break from the intuitive management by a minority manager and analyze it scientifically. The enterprise can reduce unnecessary expense, make an offer high quality to user in a keen competition

• Journal of muscle and joint health
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• v.6 no.1
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• pp.100-135
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• 1999

Typical symptoms of rheumatic disease affect overall daily living and cause severe stress. Individuals afflicted with rheumatic disease have many illness-related stresses. Pain was the predominantly perceived stress followed by limitation in mobility, difficulties in carrying out activities of daily living. helplessness, dependency on others, threat to self-esteem, interference in social activity, interference in family relationships. difficulties performing at work, and discomfort of the treatment. Patients with chronic arthritis are subjected to long periods of continuous stress, which may require the management by the health care provider. In these cases, the purpose of the nursing is helping to promote health through supporting patient's coping. Therefore, for the nursing intervention to be effective, it is critical to build a theoretical framework that describes stress-coping for chronic arthritis. Thus, the purpose of this dissertation is to present a theoretical framework which describes the stress-coping processes and to empirically test pathos of this framework for the people with chronic arthritis. The foundation upon which this framework is built in the Erickson, Tomlin, and Swain(1983) theory of Modeling and role-Modeling. The subjects were 275 patients with rheumatoid arthritis or osteoarthritis who visited the outpatient clinic. A hypothetical model of stress-coping was tested by covariance structure analysis with PC-LISREL 8.12 program. As a result, the overall fit was good(Chi-square=94.49, P=0.00, RMR=0.067, GFI=0.95, AGFI=0.91, NNFI=0.93, NFI=0.91) for the hypothetical model. The results of hypothesis testing were as follows : Basic need satisfaction had a statistically significant influence on illness-related experience, emotional stress and coping resources. Internal health locus of control had a statistically significant influence on coping resources. However, independent variables(basic need satisfaction, internal health locus of control, illness-related experience, emotional stress and coping resource) did not have significantly influence on coping. And then, the hypothetical model was modified by considering both the theoretical implication and statistical significance of the parameter estimates. The revised model had a better fit to the data(Chi-square=83.11(P=0.00), RMR=0.061, GFI=0.96, AGFI=0.92, NNFI=0.95, NFI=0.92). Hypothesis emerged from the revised model was tested. The results of hypothesis testing were as follows : Basic need satisfaction had a statistically significant influence on illness-related experience, emotional stress and coping resources. Internal health locus of control had a statistically significant influence on illness-related experience and coping resources. Internal health locus of control, illness-related experience, emotional stress and coping resources had a significantly influence on coping. According to the results of this dissertation, basic need satisfaction and internal health locus of control play a central role in appraisal of illness-related experience and coping resources. And illness related-experience, emotional stress, and coping resources affect on coping activities. In summary, nursing interventions to enhance basic need satisfaction and internal health locus of control will decrease illness related experience and emotional stress and increase coping resources. Increased coping resources will prompt coping activities.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.410-413
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• 2000

This paper suggests a methodology in which control signals for high-level synthesis are generated from SDL specification. SDL is based on EFSM(Extended Finite State Machine) model. Data path and control part are partitioned into representing data operations in the from of scheduled data flow graph and process behavior of an SDL code in forms of an abstract FSM. Resource allocation is performed based on the suggested architecture model and local control signals to drive allocated functional blocks are incorporated into an abstract FSM extracted from an SDL process specification. Data path and global controller acquired through suggested methodology are combined into structural VHDL representation and correctness of behavior for final circuit is verified through waveform simulation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3821-3841
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• 2019

Cloud radio access networks (C-RANs) have been regarded in recent times as a promising concept in future 5G technologies where all DSP processors are moved into a central base band unit (BBU) pool in the cloud, and distributed remote radio heads (RRHs) compress and forward received radio signals from mobile users to the BBUs through radio links. In such dynamic environment, automatic decision-making approaches, such as artificial intelligence based deep reinforcement learning (DRL), become imperative in designing new solutions. In this paper, we propose a generic framework of autonomous cell activation and customized physical resource allocation schemes for energy consumption and QoS optimization in wireless networks. We formulate the problem as fractional power control with bandwidth adaptation and full power control and bandwidth allocation models and set up a Q-learning model to satisfy the QoS requirements of users and to achieve low energy consumption with the minimum number of active RRHs under varying traffic demand and network densities. Extensive simulations are conducted to show the effectiveness of our proposed solution compared to existing schemes.

• Journal of information and communication convergence engineering
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• v.5 no.2
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• pp.144-149
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• 2007

Grid technologies make it possible for IT resources to be shared across organizational and security domains. The traditional identity-based access control mechanisms are unscalable and difficult to manage. Thus, we propose the FAS (Federation Agent Server) model which is composed of three modules: Certificate Conversion Module (CCM), Role Decision Module (RDM), and Authorization Decision Module (ADM). The proposed FAS model is an extended Role-Based Access Control (RBAC) model which provides resource access capabilities based on roles assigned to the users. FAS can solve the problem of assigning multiple identities to a shared local name in grid-map file and mapping the remote entity's identity to a local name manually.