• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1036-1054
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• 2019

Recently, concomitant with a surge in numbers of Internet of Things (IoT) devices with various sensors, mobile crowdsensing (MCS) has provided a new business model for IoT. For example, a person can share road traffic pictures taken with their smartphone via a cloud computing system and the MCS data can provide benefits to other consumers. In this service model, to encourage people to actively engage in sensing activities and to voluntarily share their sensing data, providing appropriate incentives is very important. However, the sensing data from personal devices can be sensitive to privacy, and thus the privacy issue can suppress data sharing. Therefore, the development of an appropriate privacy protection system is essential for successful MCS. In this study, we address this problem due to the conflicting objectives of privacy preservation and incentive payment. We propose a privacy-preserving mechanism that protects identity and location privacy of sensing users through an on-demand incentive payment and group signatures methods. Subsequently, we apply the proposed mechanism to one example of MCS-an intelligent parking system-and demonstrate the feasibility and efficiency of our mechanism through emulation.

• Health Policy and Management
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• v.27 no.2
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• pp.121-127
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• 2017

The effort to measure and improve the quality of healthcare is a common health policy issue worldwide. Korean Value Incentive Programme is one of that effort, but some concerns exist. Compared to pay for performance program in other countries, it measures healthcare quality with relatively narrow performance domain using a small number of clinical indicators. It was designed without involving hospitals and other key stakeholder, and program participation was mandated. Highest and lowest performers get bonus and penalty using relative ranking. As a suggestion for development, the direction for quality management at the national level should be given first. Therefore the philosophy or strategy for quality improvement should be reflected to the program. And various domains and indicators of healthcare quality should be developed with active communication with healthcare providers. The evaluation method is necessary to be changed to provide achievable goal to the healthcare providers and attract quality improvement.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.2
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• pp.121-128
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• 2004

This paper presents a new approach for determining an accurate incentive levels of Direct Load Control (DLC) program using sequential Monte Carlo Simulation (MCS) techniques. The economic analysis of DLC resources needs to identify the hourly-by-hourly expected energy-not-served resulting from the random outage characteristics of generators as well as to reflect the availability and duration of DLC resources, which results the computational explosion. Therefore, the conventional methods are based on the scenario approaches to reduce the computation time as well as to avoid the complexity of economic studies. In this paper, we have developed a new technique based on the sequential MCS to evaluate the required expected load control amount in each hour and to decide the incentive level satisfying the economic constraints. In addition, the mathematical formulation for DLC programs' economic evaluations are developed. To show the efficiency and effectiveness of the suggested method, the numerical studies have been performed for the modified IEEE reliability test system.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.636-638
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• 2003

This paper presents a new approach which is able to determine the reasonable incentive levels of direct load control using sequential Monte Carlo simulation techniques. The economic analysis needs to determine the reasonable incentive level. However, the conventional methods have been based on the scenario methods because they had not considered all cases of the direct load control situations. To overcome there problems, this paper proposes a new technique using sequential Monte Carlo simulation. The Monte Carlo method is a simple and flexible tool to consider large scale systems and complex models for the components of the system. To show its effectiveness, numerical studies were performed to indicate the possible applications of the proposed technique.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.553-554
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• 2007

This paper proposes the method to increase the current direct load control program by inspecting the problems of the DLC program. In order to increase the number of the customers participating DLC program, a raise of the base incentive and the direct load control incentive is suggested based on the interruption cost of electric power considering the characteristics of kinds of load.

• Journal of Korea Port Economic Association
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• v.29 no.1
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• pp.23-45
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• 2013

This paper aims to identify the problems of incentives and find a solution to them by empirically analyzing the port incentives and the development of cargo volume. The current method of paying performance incentives and cargo-increase incentives makes it is possible for shipping companies to get the maximum incentives just by regulating cargo volumes without increasing them. Since the processing volume of transshipment cargo of the Busan port is over the volume eligible for the maximum incentive determined by the tie-up of shipping companies, the transshipment cargo can decrease. The incentive of the Busan port based on the cargo record and increase does not affect the increase of transshipment cargo, only to suffer a loss, and thus a new incentive system is needed that does not allow shipping companies to regulate cargo volumes. Based on the result of this study, We have to apply the even-handed incentive rule which pays the incentive for the cargo volume of the pertinent year with the unit price per 1 TEU to avoid the chicken game among the ports.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.163-175
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• 2006

This paper provides a corporation's marketing strategy under a ubiquitous computing environment: a WOM(word-of-mouth) marketing using RFID(Radio Frequency Identification) technology and a business model which facilitates the word-of-mouth marketing. To this end, we examine the word-of-mouth communication effects on consumers' life, changes in corporations' attitude toward word-of-mouth marketing, and the difficulties that corporations have in conducting word-of-mouth marketing. The business model this paper suggests makes seamless business-to-consumer and consumer-to-consumer networking possible using the RFID technology and facilitates the word-of-mouth marketing through incentive system of each economic player.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.4
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• pp.473-484
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• 1998

The current interconnection charge regimes is based in fully distributed costing method. Basically this method doesn't give the incument carrier the incentive to promote efficient business operations. In this paper, 1 suggest the adoption of price cap regulation to interconnection charge as incentive schemes and review important considerations in its applications. Additionally I suggest the basic structure of the network costing model for applications of incremental costing method.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.10a
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• pp.379-382
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• 2008

This paper gives the support method of DSM program(power load leveling for heating and cooling facilities on building). As the national power peak load increases recently, the peak load reduction is needed. So we studied about remote controlling of power load from heating/cooling facilities on building during peak times. To adopt new DSM program, it is very important to design DSM customer supporting system. So in this paper, we dealt with the result of customer survey, and the DSM potential regarding heating/cooling facilities on building. In conclusion, the peak reduction program of heating/cooling facilities is very important and the incentive of customer should be consist of two incentive types as an installation and power reduction.

• Industrial Engineering and Management Systems
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• v.13 no.4
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• pp.383-397
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• 2014

Reverse logistics network design issues have been popularly discussed in recent years. However, few papers in the past literature have been dedicated to incentive effect on return quantity of used products. The purpose of this study is to formulate a dynamic nonlinear programming model of reverse logistics network design with the aim of managing the used products allocation by coordinating the collection centers and recovery facilities to warrant economic efficiency. In the optimization model, a fuzzy approach is applied to interpret the relationship between the rate of return and the suggested incentives. Due to funding constraints in setting up the collection centers, this work considers these centers as multi-capacity levels, which can be opened or closed at different periods. In view of the fact that the problem is known as NP-hard, we propose a heuristic method based on tabu search procedure to solve the presented model. Finally, several dominance properties of optimal solutions are demonstrated in comparison with the results of a state-of-the-art commercial solver.