• International conference on construction engineering and project management
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• 2009.05a
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• pp.841-846
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• 2009

Recently, the construction industry is getting more complex and sophisticated having the characteristics of a mega project. Mega project pursues a value that can't be gained with an approach of seeing a project as just a simple sum of different parts but a mutual combination. However, the current manuals can't fulfill the needs for supporting, therefore, need a tool to support the decision making and an IETM is expected to take this role. Despite the a lot of expected advantages of IETM, it is still difficult to apply because of the frequent changes of information of detailed process and its complexity. In this research, as part of developing an IETM, we aim to propose a system frame which is based on the analysis of processes of a project. It is basic part of IETM to give information to users and IETM consists of normal mode that offers general information about the urban regeneration project and user-specified mode that gives classified and reorganized information to user. For supporting these functions, IETM should be stored in a form that can classify the information about urban regeneration project and be tagged with meaningful tags. Moreover IETM developers have to consider the interoperability of IETM because it ultimately should be coordinated with overall Project Management System like an iPMIS. We used XML for solution of interoperability because it stores information as just text-file that doesn't need a special form.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.147-155
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• 2014

While variety of content on the internet has increased with the development of IT and person's needs about suitable information are increasing rapidly, studies for personalized service have been actively performed. In the study, we proposed the Hypertension and Diabetes risk analysis system according to personal food intake preference using the analysis method of buying preferences in product recommendation system. For the analysis of food intake preference, the Pearson correlation coefficient is used to calculate similarity weights between each reference analysis data and sample data and then reference data should be grouping into the similarity weights and calculating risk of hypertension and diabetes each group. To evaluate the significance of this system, 1,021 subjects are applied the system. Hypertension and diabetes groups' risk is significant higher than normal group statistically so, it is confirmed that food intake preference and the diseases were relevant. In this paper, we verify the validity of hypertension and diabetes risk analysis system using a personal food intake preference.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.7
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• pp.1234-1242
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• 2003

In this paper we present a simple and efficient robust optimal design formulation for MEMS structures and its application to a resonant-type micro probe. The basic idea is to use the gradient index (GI) to improve robustness of the objective and constraint functions. In the robust optimal design procedure, a deterministic optimization for performance of MEMS structures is followed by design sensitivity analysis with respect to uncertainties such as fabrication errors and change of operating conditions. During the process of deterministic optimization and sensitivity analysis, dominant performance and uncertain variables are identified to define GI. The GI is incorporated as a term of objective and constraint functions in the robust optimal design formulation to make both performance and robustness improved. While most previous approaches for robust optimal design require statistical information on design variations, the proposed GI based method needs no such information and therefore is cost-effective and easily applicable to early design stages. For the micro probe example, robust optimums are obtained to satisfy the targets for the measurement sensitivity and they are compared in terms of robustness and production yield with the deterministic optimums through the Monte Carlo simulation. This method, although shown for MEMS structures, may as well be easily applied to conventional mechanical structures where information on uncertainties is lacking but robustness is highly important.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.37-54
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• 2004

Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4C
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• pp.282-294
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• 2002

The modern telecommunication networks are composed of various network-type and are managed by various management technologies, such as TMN, SNMP, TINA etc. Furthermore, the network user's needs of real-time multimedia services are rapidly increasing. In order to guarantee the user-requested quality-of-service(QoS) and keep the network utilization at maximum, it is required to manage the network performance continuously after the network is deployed. The performance management function should provide the useful information for the network expansion and the capacity reallocation in the future. In this paper, we propose a DPE-based performance management architecture for the integrated management of the heterogeneous network elements with TMN and SNMP. We propose an approach to provide the Intranet traffic monitoring and analysis function using layered network management concept and distributed processing technology. The proposed architecture has been designed and implemented based on multiprocess and multithread structure to support concurrent processing. To manage the traffic according to the Intranet service categories, we implemented an ITMA(Intelligent Traffic Monitoring Agent) with packet capture library. With the proposed architecture, we could measure and analyze the real Intranet traffic of Yeungnam University.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3365-3383
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• 2021

The rapid growth of data has successfully promoted the development of modern information and communication technologies, which are used to process data generated by public urban departments and citizens in modern cities. In specific application areas where the ciphertext of messages generated by different users' needs to be transmitted, the concept of broadcast encryption is important. It can not only improve the transmission efficiency but also reduce the cost. However, the existing schemes cannot entirely ensure the privacy of receivers and dynamically adjust the user authorization. To mitigate these deficiencies, we propose an efficient, secure identity-based broadcast encryption scheme that achieves direct revocation and receiver anonymity, along with the analysis of smart grid solutions. Moreover, we constructed a security model to ensure wireless data transmission under cloud computing and internet of things integrated devices. The achieved results reveal that the proposed scheme is semantically secure in the random oracle model. The performance of the proposed scheme is evaluated through theoretical analysis and numerical experiments.

• Journal of Distribution Science
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• v.12 no.12
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• pp.75-82
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• 2014

Purpose - Due to the rapidly changing environment, the needs of information distribution are emphasized more than ever before. As information changes to cater to diversity, professionalism, and detailed segmentation, this information is produced exponentially. Many researchers working in intelligence agencies are feeling the need to establish a comprehensive information management and information distribution system in a systematic and more effective manner. Mobile marketing is based on communication when consumers can access information using GPS systems whatever their location may be when they are on a trip. Until recently, Korean companies have been struggling to perform well in the larger mobile tourism information service (MTIS) for Chinese tourists, which is regarded as a blue ocean area. The principal dimensions of the characteristics of a mobile tourism information service were analyzed, and the influence on perceived value and satisfaction was identified. Moreover, the relationship among the variable satisfaction and using intentions was empirically analyzed. Research design, data, and methodology - This study examined the structural relationship among mobile tourism information features, perceived value, satisfaction, and behavioral intentions. It is based on analyzed data from questionnaires involving advanced research. A questionnaire survey targeting Chinese students using a mobile tourism information service in Korea was conducted. A total of 230 questionnaires were circulated, and 221 questionnaires were used for empirical analysis, excluding invalid data. The data were analyzed with structural equation modeling with SPSS 21.0 statistic package reliability analysis, factor analysis, and regression analysis were implemented, and the effects of the mobile tourism information service features on perceived value, satisfaction, and using intentions were presented. Results - First, mobile tourism information service features have a direct positive effect on the practical value, and do not affect the hedonic value. Second, perceived value has a statistically positive effect on satisfaction. Third, perceived value has a positive effect on behavioral intentions. Fourth, satisfaction has a direct positive effect on behavioral intentions. Conclusion - MTIS (mobile tourism information service) involves personal, social, and technical characteristics. We have analyzed the effects of mobile tourism information service on perceived value, and on satisfaction and using intentions. First, the study shows that the characteristics of mobile tourism information service and perceived value in relation to mobile tourism information service usage are important for marketing in the Chinese market. Moreover, after using a mobile tourism information service, the effect on practical value is more than on hedonic value. We could not analyze the program for tourism information service extensively, and used only questionnaires from Chinese students in Korea. In the future, there should be research on the programs for a tourism information service. We expect to study the MTIS program in greater detail, and to improve the quality and reputation of MTIS through the analysis of its program. We hope that this research will allow an evaluation of the relationship between Korea and China regarding MTIS.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.37-45
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• 2010

A system which needs timely accuracy has to design and to verify correctly about execution-time for reliability. Accordingly, it is necessary for timing analysis tools, and much previous research worked. In timing analysis tool, there are two methods. One is a static analysis, and the other is a measurement based analysis. A static analysis is able to spend time less than a measurement based analysis method, but has low reliability of analysis result caused by hard to estimate time of I/O caused by various hardware. A measurement based analysis can be close analysis to real result, but it is hard to adapt to actual application, and spend a lot of time to get result of analysis. As such, this paper present a software monitoring architecture to supply reliability of static analysis process. In a presented architecture, it can select target as needed measurement through static analysis, and reuse result of measurement exist. Therefore, The architecture can reduce overload of time and performance for measurement, and improve the reliability which is the worst problem of static analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.140-145
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• 2005

The existing analytical expression for the voltage between the power and ground plane consist of metal-dielectric-metal board is expressed in the two dimensional infinite series. To reduce the computation time, the two dimensional infinite series is converted to the one dimensional infinite series using the summation formula of Fourier series. We applied these equations to the analysis of voltage between the $9‘{\times}4'$ size power-ground plane. The derived one dimensional infinite series shows the more rapid convergency and the more accurate result than the two dimensional infinite series. This equation can be applied to the power-ground plane analysis which needs a lot of the repeating computation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.