• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.65-78
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• 2009

The rapid changes of financial environment have increased the need and demand for personal financial advisory service from financial experts. In particular, as the individual customers want to get more customized financial services, the financial institutions created the private banking (PB) sector and have constantly expanded their PB services. However, it remains still problematic that the private banking system requires high costs so that the number of eligible customers who can have proper PB services is quite limited. To solve this problem, we propose an intelligent agent that can provides specialized and customized personal financial advisory services to the customers with low costs. The proposed agent systemizes and structures the information and knowledge of financial experts in private banking services so that individual customers can easily access to high-quality PB services when they need. On the first attempt we develop a framework of U-smart PB, an intelligent agent for personal financial management based on different scenarios related to personal financial decisions, and derive its core services. This system not only provides information simply, but also proposes to support personal investment decisions technically as an intelligent agent that embodies real-time customized financial management in a ubiquitous environment, regardless of time and place.

• Survey Research
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• v.11 no.2
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• pp.97-121
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• 2010

Using the 1998-2004 Health and Retirement Study(HRS), this study explored the determinants of private long-term care insurance(LTCI) ownership and the first home care use. To account for the interaction between LTCI purchase and home care use, this study used two-period utility model as theoretical framework. Discrete time model was used as an empirical model to incorporate the time-dependent feature of LTCI ownership. And this study accounted for the endogeneity of LTCI ownership and home care use by employing full information maximum likelihood estimation. This study indicated insignificant effects of private LTCI ownership and Medicaid eligibility on the home care use. Also, the effects of income and assets on home care utilization were negligible. Those who have poor health condition and who do not have potential informal caregivers were more likely to use home care. For private LTCI ownership, income and assets have positive relationship with LTCI purchase, and poor health status and age were negatively related to LTCI purchase. The elderly living with children and those who have more siblings were less likely to have private LTCI, and those who lived with spouses with no children were more likely to buy private LTCI. Based on the findings, this study provides implications to design long-term care(LTC) policies in the U.S. and to develop LTC planning education programs.

• Journal of Korea Spatial Information System Society
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• v.3 no.1 s.5
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• pp.5-16
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• 2001

ITS (Intelligent Transport System) has been developed into the full service leading to a new life style with the various services from private sector, which was intended to prevent the traffic accidents and to reduce the traffic jams. Since traveler-type components used in ITS services are not exclusively designed. but they can be one of the existing devices such as mobile phone, PDA, PC, KIOSK and etc. We need to consider that these devices are equipped to support ITS related services. Therefore, this study modeled, through UML, a framework of portable components based on the present national ITS architecture; the purpose being that private companies may be able to develop portable components with concepts of ITS services. The methodology of the modeling process we followed consisted of four steps: (1) analyzing service-related subsystems, (2) generalizing equipment-package and functional specifications. (3) describing information and function specific reference models, and (4) UML modeling of the reference model.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.1-37
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• 2023

The Korean innovation ecosystem has evolved from a catch up stage to a creative leader stage where government's role in creating a private sector driven, healthy and dynamic ecosystem is important. Korea's innovation ecosystem shows a stagnation of innovation performance and a lack of linkage activities within the national innovation ecosystem and in global cooperation, despite the dramatic advancement and expansion of the ecosystem. A next-generation innovation ecosystem model is required to create a future-oriented innovation ecosystem. The next generation innovation ecosystem was prepared on the basis of the framework, which has 6 elements among which inter-firm network is the the micro-foundation of the ecosystem. On the basis of the framework, assuming that the next generation innovation ecosystem is the evolved existing ecosystem, responsive the discontinuous change in market and technology, which is private sector driven healthy and dynamic ecosystem, the next generation innovation ecosystem model was created. The concrete details on the direction of the policy entities responsible for building the ecosystem was presented, and the contribution of this study was discussed.

• Journal of the Korean Institute of Rural Architecture
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• v.19 no.4
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• pp.67-75
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• 2017

This paper overall and systematically investigates of basic design know-how on commonly indwelling timber framework in a folk house in Yeosu area. in other words, Setting the goal of 'investigates of common form of timber framework', and for this goal, surveyed and analyzed for folk house a lot of findable in Yeosu area. As a result, elicits for four types plural common form((1) 4 front 'kan' - a hipped roof construction - front 'toi'/3 'ryang' - no central pillar/side beam type, (2) 4 front 'kan' - a hipped roof construction - front 'toi'/3 'ryang' - one side central pillar/central side beam type, (3) 4 front 'kan' - a hipped roof construction - front/back 'toi'/2'kozu'5'ryang' - no central pillar/side beam type, (4) 4 front 'kan' - a hipped roof construction - front/back 'toi'/'2kozu'5'ryang' - one side central pillar/central side beam type). Common form is at that time, so commonly located in the head of the technician that a form that play an exemplary role in design, or it is concretely assumed for commonly aimed form. in other words, Common form is come into existence on premise for basic design data. Documentation of folk house design know-how is done through this, and the base design and specification of korean private house is written in the contents divided into by areas.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4345-4363
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• 2021

Deep Learning as a Service (DLaaS), utilizing the cloud-based deep neural network models to provide customer prediction services, has been widely deployed on mobile cloud computing (MCC). Such services raise privacy concerns since customers need to send private data to untrusted service providers. In this paper, we devote ourselves to building an efficient protocol to classify users' images using the convolutional neural network (CNN) model trained and held by the server, while keeping both parties' data secure. Most previous solutions commonly employ homomorphic encryption schemes based on Ring Learning with Errors (RLWE) hardness or two-party secure computation protocols to achieve it. However, they have limitations on large communication overheads and costs in MCC. To address this issue, we present LeHE4SCNN, a scalable privacy-preserving and communication-efficient framework for CNN-based DLaaS. Firstly, we design a novel low-expansion rate homomorphic encryption scheme with packing and unpacking methods (LeHE). It supports fast homomorphic operations such as vector-matrix multiplication and addition. Then we propose a secure prediction framework for CNN. It employs the LeHE scheme to compute linear layers while exploiting the data shuffling technique to perform non-linear operations. Finally, we implement and evaluate LeHE4SCNN with various CNN models on a real-world dataset. Experimental results demonstrate the effectiveness and superiority of the LeHE4SCNN framework in terms of response time, usage cost, and communication overhead compared to the state-of-the-art methods in the mobile cloud computing environment.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.37-50
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• 2022

Modern supply chains include multiple activities from collecting raw materials to transferring final products. These activities involve many parties who share a huge amount of valuable data, which makes managing supply chain systems a challenging task. Current supply chain management (SCM) systems adopt digital technologies such as the Internet of Things (IoT) and blockchain for optimization purposes. Although these technologies can significantly enhance SCM systems, they have their own limitations that directly affect SCM systems. Security, performance, and scalability are essential components of SCM systems. Yet, confidentiality and scalability are one of blockchain's main limitations. Moreover, IoT devices are lightweight and have limited power and storage. These limitations should be considered when developing blockchain-based IoT-SCM systems. In this paper, the requirements of efficient supply chain systems are analyzed and the role of both IoT and blockchain technologies in providing each requirement are discussed. The limitations of blockchain and the challenges of IoT integration are investigated. The limitations of current literature in the same field are identified, and a secure and scalable blockchain-based IoT-SCM system is proposed. The proposed solution employs a Hyperledger fabric blockchain platform and tackles confidentiality by implementing private data collection to achieve confidentiality without decreasing performance. Moreover, the proposed framework integrates IoT data to stream live data without consuming its limited resources and implements a dualstorge model to support supply chain scalability. The proposed framework is evaluated in terms of security, throughput, and latency. The results demonstrate that the proposed framework maintains confidentiality, integrity, and availability of on-chain and off-chain supply chain data. It achieved better performance through 31.2% and 18% increases in read operation throughput and write operation throughput, respectively. Furthermore, it decreased the write operation latency by 83.3%.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.51-81
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• 2023

This study aimed to study its required performance requirements and proposes a competency framework necessary for the digital workforce of the Provincial Offices in Thailand. The specific primary informants were determined as 17 people. The collecting process was performed using the Delphi technique and the electronic Delphi technique in two phases, totaling four rounds. In the first time, a structured interview was used to conduct online interviews for 15 people. Content validation was performed to determine issues of the competency framework essential for the digital workforce with 7-level scaled questionnaires, and then online reviews were collected between 10-15 people (2nd to 4th times). A consensus was found and confirmed four times with descriptive statistics, namely frequency, mean, standard deviation, mode, median, and the absolute value of the difference between mode and median, interquartile range, and application of the conceptual framework. The research findings revealed that the essential competency requirements for the digital workforce were covered in digital literacy (six aspects), digital skills (four aspects), and digital characteristics (four aspects). Consensus was confirmed for 84 issues. Therefore, it was concluded that 61 points for building an essential competency framework for the digital workforce made them effective in using digital technology as a labor-saving instrument, as well as for expanding the breadth of development of digital expertise to include members of the organization's digital practitioner network. This development will benefit government agencies and the private sector, both national and international, in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.133-145
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• 2019

This study was raised by the need to explain why the problems related to private parks have been sustained. In order to identify the fundamental cause, it is necessary to analyze the historical and institutional context of private parks. Therefore, the purpose of this study is to identify the direction of change in the private park system and to derive the characteristics of the system as it currently appears. The framework based on the historical institutionalism was divided into the Park Act (1967-1980), the former of Urban Park Act (1980-1993) and the late of Urban Park Act (1993-2005), and each was assessed using the analysis elements of the institutional environment and the outcomes of implementation. The analysis elements interpreted the path dependency, in which the inertia toward the choice of institution is maintained, despite the change in the environment. The institution took a special form of 'negative systeme' and secured profitability by expanding the types of park facilities while mitigating the criteria. Additionally, the designation of private park promoters as a landowner acted as a means of compensating those with property rights to unexecuted urban parks. The expectation effectiveness on urban park creation was insufficient and the environmental regulatory functions were weakened. Thus, historically, the private park system in Korea has experienced an 'institutional decoupling' as the purpose of the system and the results of actual outcomes are not consistent.

• Journal of Preventive Medicine and Public Health
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• v.40 no.6
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• pp.495-504
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• 2007

Objectives : This study attempts to show how studies using non-experimental data can strengthen causal inferences by applying propensity score and instrumental variable methods based on the counterfactual framework. For illustrative purposes, we examine the effect of having private health insurance on the probability of experiencing at least one hospital admission in the previous year. Methods : Using data from the 4th wave of the Korea Labor and Income Panel Study, we compared the results obtained using propensity score and instrumental variable methods with those from conventional logistic and linear regression models, respectively. Results : While conventional multiple regression analyses fail to identify the effect, the results estimated using propensity score and instrumental variable methods suggest that having private health insurance has positive and statistically significant effects on hospital admission. Conclusions : This study demonstrates that propensity score and instrumental variable methods provide potentially useful alternatives to conventional regression approaches in making causal inferences using non-experimental data.