• Journal of Communications and Networks
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• v.6 no.2
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• pp.182-191
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• 2004

In this paper, performances of different ultra-wideband (UWB) modulation schemes in the presence of timing jitter are evaluated and compared. Static and Rayleigh fading channels are considered. For fading channels, Oat and dispersive channels are assumed. First, bit error rate (BER) performances for each case are derived for a fixed value of timing jitter. Later, a uniform distribution of jitter is assumed to evaluate the performance of the system, and the theoretical results are verified by computer simulations. Finger estimation error is treated as timing jitter and an appropriate model is generated. Furthermore, a worst case distribution that provides an upper bound on the system performance is presented and compared with other distributions. Effects of timing jitter on systems employing different pulse shapes are analyzed to show the dependency of UWB performance on pulse shape. Although our analysis assumes uniform timing jitter, our framework can be used to evaluate the BER performance for any given probability distribution function of the jitter.

• Communications for Statistical Applications and Methods
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• v.31 no.5
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• pp.601-612
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• 2024

A functional clustering analysis is a crucial machine learning technique in functional data analysis. Many functional clustering methods have been developed to enhance clustering performance. Moreover, due to the phase variability between functions, elastic functional clustering methods, such as applying the Fisher-Rao metric, which can manage phase variation during clustering, have been developed to improve model performance. However, aligning functions without considering the phase variation can distort functional information because phase variation can be a natural characteristic of functions. Hence, we propose a state-of-the-art functional hierarchical clustering that can manage phase and amplitude variations of functional data. This approach is based on the phase and amplitude separation method using the norm-preserving time warping of functions. Due to its invariance property, this representation provides robust variability for phase and amplitude components of functions and improves clustering performance compared to conventional functional hierarchical clustering models. We demonstrate this framework using simulated and real data.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• The Journal of Industrial Distribution & Business
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• v.6 no.4
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• pp.5-16
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• 2015

Purpose - Currently, organizations must have a plan to achieve their future objectives. In this case, an information strategy facilitates greater success when planning for the future in any organization. Research design, data, and methodology - The core objective of the project was to explore the information infrastructure of Walkbase in a discursive manner. We started the project by providing a description of the firm, which facilitates retail outlets using in-store analytical devices. Results - We conclude that the management of Walkbase revised its current information structure to implement a more structured one that might be included in a long-term investment. On such an occasion, management can prioritize the component to develop first. Conclusions - Along with our results, we also described the business, its products, its facilities, and how it can serve different industries. Finally, we left the prioritization decision within the framework's components to top management.

• Journal of the Society of Disaster Information
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• v.13 no.1
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• pp.89-95
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• 2017

The cases of animals unusual behavior have been reported occasionally before a major disaster occurs. Could animals unusual behavior associated with a major disaster occurrence, if so, could we foreknow a disaster occurrence? The purpose of study is to quest an answer through literature reviews on the relation between animals unusual behavior and premonitory symptoms of an earthquake. These empirical studies are classified three parts according as methodological framework; statistical analysis, experimental analysis, observation analysis. The results are simply divided as two, 'animals unusual behavior may be seen as a precursor of pre-disaster phenomena' and 'difficult to see.' A number of studies have been performed abroad, however there is no one in Korea. Most of the studies point out common limitations-difficult to verify the reliability of data, accidentally get and fewer samples of data, difficulty of ensuring appropriate data, etc. That is why more related research with animals unusual behavior and disaster occurrence is needed to validate cause-and-effect relation of animal unusual behavior and pre-disaster phenomena.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.2 s.115
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• pp.44-56
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• 2006

The purpose of this study was to analyze user satisfaction for park facilities in Bukhansan National Park and to introduce a new framework of standards for facilities improvement. An initial theoretical model considered possible variables through a case study of user satisfaction for park facilities and eventually 19 variables were chosen. An analysis was conducted of the user's satisfaction based on their expectations before use and the results after use. This expectancy-result disconfirmation was measured for the 19 variables. Statistical methods were applied to determine the reliability of the analysis, the t-test was used to measure disconfirmation between expectations and results, and relationships between the variables were analyzed. The results of the reliability analysis (Cronbach's alpha) were higher than 0.8. Therefore, almost all variables were appropriate for analysis. Statistically significant differences were found between expectations and results for following variables: availability of information facilities and accessibility, convenience of facilities, number of information facilities, appropriateness of information facilities, information offered, safety and convenience. Based on the analysis of the interrelation between variables, it was found that the visitors were more satisfied after their visit than they expected to be. The results of the study suggest which variables make the greatest contributions to facilities maintenance or improvement and which can be adapted to maximize user satisfaction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.476-496
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• 2018

With the advancement and deployment of wireless communication techniques, wireless body area network (WBAN) has emerged as a promising approach for e-healthcare that collects the data of vital body parameters and movements for sensing and communicating wearable or implantable healthful related information. In order to avoid any possible rancorous attacks and resource abuse, employing lightweight ciphers is most effective to implement encryption, decryption, message authentication and digital signature for security of WBAN. As a typical lightweight cryptosystem with an extended sponge function framework, the PHOTON family is flexible to provide security for the RFID and other highly-constrained devices. In this paper, we propose a differential fault analysis to break three flavors of the PHOTON family successfully. The mathematical analysis and simulating experimental results show that 33, 69 and 86 random faults in average are required to recover each message input for PHOTON-80/20/16, PHOTON-160/36/36 and PHOTON-224/32/32, respectively. It is the first result of breaking PHOTON with the differential fault analysis. It provides a new reference for the security analysis of the same structure of the lightweight hash functions in the WBAN.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.149-160
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• 2005

Information system outsourcing induces firms to concentrate on the core competence and to improve business value by utilizing specialized information systems outsourcing vendors. However, for those strategic effects, the outsourced information systems should guarantee a certain service level. Now companies are considering to adopt SLA(Service Level Agreement) as a method to check the service level of the outsourced information systems in quantitative terms. On the contrary, customer satisfaction survey supports qualitative analysis, and helps companies to understand the qualitative effects on information system more systematically. Recently, the growing use of the internet makes customer satisfaction survey to be carried out on the web. For that reason, lots of researches related to web survey have been performed. But these researches are just focused on finding out only items to be measured and the effect of web survey. In this paper, based on the service quality research model for information system outsourcing, we formalize and propose a web survey process, a system architecture, and a functional structure for information system outsourcing customer satisfaction survey. Additionally, we provide the implementation results for the web survey systems.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.96-107
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• 2006

This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.7 s.349
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• pp.14-23
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• 2006

Wireless Sensor Network(WSN) consists of huge number of sensor nodes which are small and inexpensive with very limited resources. The public key cryptography is undesirable to be used in WSN because of the limitations of the resources. A key management and predistribution techniques are required to apply the symmetric key cryptography in such a big network. Many key predistribution techniques and approaches have been proposed, but most of-them didn't consider the real WSN assumptions, In this paper, we propose a security framework that is based on a hierarchical grid for WSN considering the proper assumptions of the communication traffic and required connectivity. We apply simple keying material distribution scheme to measure the value of our framework. Finally, we provide security analysis for possible security threats in WSN.