• KIISE Transactions on Computing Practices
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• v.21 no.9
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• pp.579-586
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• 2015

As smart-phone usage increases, the number of Social Networking Service (SNS) users has also exponentially increased. SNS allows people to efficiently exchange their personal opinion, and for this reason, it is possible to collect the reaction of each individual to a given event in real-time. Nevertheless, new methods need to be developed to collect and analyze people's opinion in real-time in order to effectively evaluate the impact of a TV advertisement. Hence, we designed and constructed a system that analyzes the effect of an advertisement in real-time by using data related to the advertisement collected from SNS, specifically, Twitter. In detail, Hadoop is used in the system to enable big-data analysis in parallel, and various analyses can be conducted by conducting separate numerical analyses of the degrees of mentioning, preference and reliability. The analysis can be accurate if the reliability is assessed using opinion mining technology. The proposed system is therefore proven to effectively handle and analyze data responses to divers TV advertisement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2135-2142
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• 2007

Mobile device will be able to use the various contents from the advancement of the wireless Internet and mobile device manufacture technique. Each devices is HTTP headers about under using provides device information to contents provider in the provide the contents. However, There is no standard for device information provided, so interoperability problems, because external contents using mobile phone companies to provide the device information in a different way. International Organization for Standard OMA UAProf about under using it solved interoperability problems from outside. However, in using the UAProf can not provide for the complete device information, because MMS support information, smart card support, information and support for external storage is not specified. Thus, In this paper, we designed UAProf in base which provides the contents which has become optimize to the mobile device of domestic environment the mobile device description language which expresses device information which is necessar, and it used to design and implementation of the Contents Adaptation System.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.1-7
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• 2019

Jeju City is one of the cities where decline of old city-center is appearing due to the reduction of residential and floating population. The decline of old city-center of Jeju City has been on the rise since the 1990s, and has been intensifying in the 2000s. Jeju City is currently activating specific policies to ensure activation and diversification of the local commercial area. In this paper, we propose a new method to increase the number of visitors to Jeju-Mokkwana by using Augmented Reality technology for activating commerce of old city-center. Various Augmented Reality contents based on smart-phone are implemented and operated in Jeju-Mokkwana. Also the survey is conducted to 574 visitors who have experienced online/offline promotion for analyzing effects. Survey results show that the proposed method can be effectively used to activate the old city-center by increasing the floating population.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.168-176
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• 2015

Trends of integrating products and services lead to the emergence of Product-Service System (PSS). To implement and embody a PSS solution in new product development, a comprehensive design framework is allowed designers to facilitate the design factors of the PSS in complex business environments. A physical product, containing functionalities for services, is the role of medium between customers and a manufactures. Customers can access those metaphysical interfaces to utilize the product fully or expand its performances. The PSS is aiming to prolong its lifecycle while maintaining its expected quality. Since the quality can be represented as a measure which belongs to user's perspective, guaranteeing certain level of quality can be interpreted to sustaining customer satisfaction. The objective of this paper is to propose a PSS design framework to identify design factors for developing products and services by integrating object-oriented concepts and blueprinting in context of a business ecosystem. The proposed model is developed based on relationship products and services matching with their design factors. The products and the services are then brought together to form a PSS. Functions and processes can be categorized to identify the design factors in different levels using the object-oriented concepts. Objected-oriented concepts provide PSS analysis tools for describing a business process or a workflow process in the PSS. The blueprint is used to identify the relationships between the products functions and the service processes that are offered as part of a job. To demonstrate of the effectiveness of the proposed model, we use a case study involving a smart phone.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.13-21
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• 2012

Mobile data caching is usually used as an effective way to improve the speed of local transaction processing and reduce server load. In mobile database environment, due to its characters - low bandwidth, excessive latency and intermittent network, caching is especially crucial. A lot of mobile data caching strategies have been proposed to handle these problems over the last few years. However, with smart phone widely application these approaches cannot support vast data requirements efficiently. In this paper, to make full use of cache data, lower wireless transmission quantity and raise transaction success rate, we design a new mobile data caching synchronization strategy based on in-demand and replacement priority. We experimentally verify that our techniques significantly reduce quantity of wireless transmission and improve transaction success rate, especially when mobile client request a large amount of data.

• Journal of Software Engineering Society
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• v.24 no.2
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• pp.55-66
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• 2011

Component-based Software development(CBSD) is widely used in various area due to its efficiency of time, cost and effort. In the embedded software which has high dependency of platform and can be developed by product family, the efficiency of CBSD is maximized by reuse. These embedded software has various limitations of the resources. Specially, the effective energy consumption is very important in the portable embedded software such as smart phone and tablet PC, because they are operated with limited energy source like a battery. Therefore, energy efficient problem became very important issue in the CBSD. In this paper, we identified characteristics and environment that influence energy consumption of components. Afterward, we defined a component specification language which is consisted to describe energy characteristics of the components. This supposed specification language can be utilized to energy efficient component search and selection.

• Biomolecules & Therapeutics
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• v.27 no.3
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• pp.265-275
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• 2019

Technological advances of mankind, through the development of electrical and communication technologies, have resulted in the exposure to artificial electromagnetic fields (EMF). Technological growth is expected to continue; as such, the amount of EMF exposure will continue to increase steadily. In particular, the use-time of smart phones, that have become a necessity for modern people, is steadily increasing. Social concerns and interest in the impact on the cranial nervous system are increased when considering the area where the mobile phone is used. However, before discussing possible effects of radiofrequency-electromagnetic field (RF-EMF) on the human body, several factors must be investigated about the influence of EMFs at the level of research using in vitro or animal models. Scientific studies on the mechanism of biological effects are also required. It has been found that RF-EMF can induce changes in central nervous system nerve cells, including neuronal cell apoptosis, changes in the function of the nerve myelin and ion channels; furthermore, RF-EMF act as a stress source in living creatures. The possible biological effects of RF-EMF exposure have not yet been proven, and there are insufficient data on biological hazards to provide a clear answer to possible health risks. Therefore, it is necessary to study the biological response to RF-EMF in consideration of the comprehensive exposure with regard to the use of various devices by individuals. In this review, we summarize the possible biological effects of RF-EMF exposure.

• Journal of the Institute of Convergence Signal Processing
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• v.19 no.4
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• pp.174-179
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• 2018

Currently, various security technologies such as fingerprint recognition and face recognition are being developed. However, although many technologies have been developed, the field of incorporating technologies is quite limited. In particular, it is easy to adapt modern security technologies into existing digital systems, but it is difficult to introduce new digital technologies in systems using analog systems. However, if the system can be widely used, it is worth replacing the analog system with the digital system. Therefore, the selected topic is the electronic attendance system. In this paper, a camera is installed to a door to perform a Haar-like feature training for face detecting and real-time face recognition with a Eigenface in principal component analysis(PCA) based face recognition using raspberry pi. The collected data was transmitted to the smartphone using wireless communication, and the application for the viewer who can receive and manage the information on the smartphone was completed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.185-191
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• 2019

The use of smartphone improves convenience and efficiency in modern people's lives but threatens the mental health of individuals by manifesting an addiction phenomenon that is difficult for everyday life without a smartphone. In particular, it is suggested that the effects of the smartphone addiction of firefighters who have a high level of job stress due to work environment exposed to disaster and fire have a very negative effect on their personal well-being and job performance. Therefore, the analysis of the relationship between firefighters' smartphone addiction and stress will be helpful in examining the problems of stress management. This study analyzed the relationship and influence between smartphone addiction and stress of firefighters. Total study subjects were 230 and SPSS 20.0 was used. Statistical methods are group analysis (t-test and ANOVA) and multiple regression analysis. The results of this study show that firefighters' household type and monthly income have a significant effect on stress. Of the sub-factors of smartphone addiction, withdrawal experience has a statistically significant effect on stress. The results of the study will provide empirical data on the smartphone addiction of fire service employees.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.335-344
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• 2019

This study aimed to identify the effect of stress, smartphone addiction, Social support, and physiological index on quality of sleep (PSQI) and to investigate the affecting factors according to sex in highschool students. The data were collected from 210 subjects from February 6 to 16, 2018 using a structured self-report questionnaires and analyzed using descriptive statistics, t-test, ANOVA, and multiple regression with SPSS WIN Version 24.0. The quality of sleep was lower in female students than in male students. In multiple regression analysis, Awake time, School grades stress were significant predictors and explained 29.6% of quality of sleep for male students. In female students, Smart phone start age, School grades stress, Disability of daily living and Appraisal social support were significant predictors and explained 24.3% of quality of sleep. Therefore, it is expected to be used as basic data for the development of intervention programs that can solve the factors affecting the quality of sleep of adolescents, thereby helping the healthy development of youth.