• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.19-27
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• 2019

In this study, we propose a methodology for predicting the movie audience based on movie information that can be easily acquired before opening and effectively distinguishing qualitative variables. In addition, we constructed a model to estimate the number of movie audiences at the time of data acquisition through the configured variables. Another purpose of this study is to provide a criterion for categorizing success of movies with qualitative characteristics. As an evaluation criterion, we used information gain ratio which is the node selection criterion of C4.5 algorithm. Through the procedure we have selected 416 movie data features. As a result of the multiple linear regression model, the performance of the regression model using the variables selection method based on the information gain ratio was excellent.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.133-154
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• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• Journal of Energy Engineering
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• v.28 no.1
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• pp.30-36
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• 2019

The military has developed and operated a variety of military vehicles. Among them, medium tactical vehicles are developed as vehicles suitable for transporting troops, replacing existing military trucks, which have a significant impact on infantry forces' combat capability. Applying technology to increase fuel efficiency to these critical weapons systems, medium tactical vehicles, increases the distance range, which can reduce effective operational performance and oil costs. In this study, a measure was taken to improve the distance range of Medium Tactical Vehicles by applying an oil temperature control strategy to increase fuel efficiency.

• Journal of East Asia Management
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• v.4 no.2
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• pp.19-38
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• 2023

With the progress of information technology and the rapid development of the gamification marketing, corporate marketing through virtual CSR co-create as customer acquisition, customer retention strategy has become the hot topic, but the reality results show that the effect of virtual CSR co-create fails to reach an enterprise's marketing purposes. Based on the success model of D&M information system, from the perspective of customer engagement, this study analyzes how enterprises achieve customer engagement and bring gameful experience to customers through gamification marketing in the context of virtual CSR co-create. The empirical results show that the quality of game information -- social interaction and sense of achievement in the context of virtual CSR co-create have a significant positive impact on consumers' gameful experience, and customer engagement plays a partial mediating role between social interaction, sense of achievement and consumers' gameful experience.

• Journal of Korean society of Dental Hygiene
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• v.11 no.2
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• pp.149-158
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• 2011

Objectives : The objective of this study was to analyze cognition and status of oral health education of dental hygienists who manage the patients visiting dental clinics and to utilize the findings as continuous study data required for development of systematic oral health education program for management of peridontal disease of adults. Methods : Survey was carried out for 261 dental hygienists working in dental clinics who are performing oral health education of patients with peridontal disease living. Results : 1. In the socio-dynamic diagnosis, it was analyzed that, the younger the age is and the lower the career is, the more the work is centered around assisting medical treatment job and, the older the age is and the higher the career is, the work is centered around oral health education job. 2. In the behavioral diagnosis, it was analyzed that, as to source of knowledge acquisition, guide of dentists and senior dental hygienists was the highest and, as to education media, visual education and demonstration education were mainly used. 3. In educational diagnosis, as to the degree of knowledge about oral health education and the degree of practice, it showed that the degree of knowledge was lower than the degree of practice in peridontal disease process and oral prophylaxis as well as scaling part. 4. In both the cases of independent practice and group practice, it showed that the most frequent obstacle was insufficient educational materials and tools and it was analyzed that acquisition of new knowledge and technology is required as a matter to be improved. Conclusions : It seems to be required for the dental hygienists to develop detailed knowledge and professional technology in order to induce actions and motive of patients during oral health education of peridontal patients and to develop and produce data for efficient education of peridontal patients.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.135-172
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• 2023

When discussing a company's technology management, manufacturing companies' innovation strategy is vital because it is connected to each company's competitive advantage in various ways, such as technology acquisition, R&D, and product innovation. The research on manufacturing companies' innovation strategies has been studied in various ways, such as performance and resources for innovation; however, very little research has been done to synthesize existing research outcomes. In this study, we conduct a systematic literature review of 51 articles related to manufacturing companies' innovation strategies. By doing so, we synthesized the results of extant studies based on three perspectives: the research target, the research focus, and the types of innovation strategies. In addition, I derived the unique properties of the research on manufacturing companies' innovation strategies. The analysis indicated that Korea's research on manufacturing companies' innovation strategies had been unequally distributed. Based on this, we suggested research agendas for future research on manufacturing companies' innovation strategies.

• Journal of Environmental Science International
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• v.21 no.7
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• pp.825-835
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• 2012

This study for the development of water purification Artificial floating island maximizing domestic Artificial floating island patent trends and product development, according to the timing of patent registration was analyzed for trends. In addition, domestic invention patent technology Artificial floating island typed according to the purpose and characteristics of domestic patents were Artificial Floating Island. In particular, domestic leisure space with a growing population and the need for securing emerging role as a reservoir of water only in the past, who do appeal as a tourist destination or as an ecological space utilized, and accordingly will transform and the need to secure a hydrophilic, degrade water quality problems using this aquatic environment (water acquisition and hydrophilic), the requirements are a big obstacle is the reality factor. This patented product differentiation strategy through the analysis of the development of technology progressiveness (Field Application) in terms of water quality improvement and maintenance side, and the hydrophilic side scenery, ecological restoration aspects, and applicability to the field and taking into account existing technology economic aspects of distinction were presented and advertised a lot in terms of cost compared to other techniques without the use of highly efficient methodology for building a water purification and also appears identity appeal, wetlands, rivers, etc. can be applied broadly technician widespread deployment and installation time to less simple and more are expected to spread.

• Knowledge Management Research
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• v.19 no.1
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Current Optics and Photonics
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• v.5 no.4
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• pp.421-430
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• 2021

The multifocal multiphoton microscopy (MMM) enables high-speed imaging by the concurrent scanning and detection of multiple foci generated by lenslet array or diffractive optical element. The MMM system mainly suffers from crosstalk generated by scattered emission photons that form ghost images among adjacent channels. The ghost image which is a duplicate of the image acquired in sub-images significantly degrades overall image quality. To eliminate the ghost image, the photon reassignment method was established using maximum likelihood estimation. However, this post-processing method generally takes a longer time than image acquisition. In this regard, we propose a novel strategy for rapid noise reduction in the MMM system based upon Monte-Carlo (MC) simulation. Ballistic signal, scattering signal, and scattering noise of each channel are quantified in terms of photon distribution launched in tissue model based on MC simulation. From the analysis of photon distribution, we successfully eliminated the ghost images in the MMM sub-images. If the priori MC simulation under a certain optical condition is established at once, our simple, but robust post-processing technique will continuously provide the noise-reduced images, while significantly reducing the computational cost.

• Smart Structures and Systems
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• v.23 no.1
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• pp.61-69
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• 2019

Offshore structures are generally exposed to harsh environments such as strong tidal currents and wind loadings. Monitoring the structural soundness and integrity of offshore structures is crucial to prevent catastrophic collapses and to prolong their lifetime; however, it is intrinsically challenging because of the difficulties in accessing the critical structural members that are located under water for installing and repairing sensors and data acquisition systems. Virtual sensing technologies have the potential to alleviate such difficulties by estimating the unmeasured structural responses at the desired locations using other measured responses. Despite the usefulness of virtual sensing, its performance and applicability to the structural health monitoring of offshore structures have not been fully studied to date. This study investigates the use of virtual sensing of offshore structures. A Kalman filter based virtual sensing algorithm is developed to estimate responses at the location of interest. Further, this algorithm performs a multi-sensor data fusion to improve the estimation accuracy under non-stationary tidal loading. Numerical analysis and laboratory experiments are conducted to verify the performance of the virtual sensing strategy using a bottom-fixed offshore structural model. Numerical and experimental results show that the unmeasured responses can be reasonably recovered from the measured responses.