• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.1
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• pp.7-12
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• 2015

As smart phone became popular, its excessive uses cause adverse effects called smart-phone syndrome such as Turtle-neck syndrome in physical side and smart-phone addiction in mental aspects. Turtle-neck syndrome incurred by incorrect posture when you watch smart-phone, which causes a serious health problems. However, these syndromes can be detected by gyro-sensor and timer, and prevented by correcting the posture and halting the function with smart-phone application (App). Thus, this paper proposes App that helps user to realize bad posture and addiction to smart-phone, and to acquire the correct habit by inducing user to stretch neck or to stop operation with warning message. If we tried to adjust bad posture and addiction in using smart-phone through this application, the social losses from smart-phone syndrome would be minimized as a result.

• Journal of Korean Association for Spatial Structures
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• v.17 no.1
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• pp.93-100
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• 2017

With increasing number construction of high-rise building which has about 40 to 60 floors there have been many kinds of problem which related with usage from vibration. To predict response acceleration, it is important to assess correct natural frequency. However, due to the noise of MEMS sensor, it is difficult to measure dynamic characteristic such as natural frequency when measuring ambient vibration using MEMS sensor within cell phone. Therefore, a comparative analysis on vibration measuring applications was performed after measuring ambient vibration of 2 skyscrappers which have height between 133.5~244.3m that are located in Seoul and Observation tower using I-jishin APP with noise reduction function of MEMS sensor in order to verify the effectiveness of low noise type vibration measurement APP.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.115-124
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• 2020

We studied smart door lock of triple security system that strengthened the security capability as it is thought that the criminal case by security vulnerability of door lock is serious in modern society. Remote locking/unlocking function, voice recognition function through mobile phone application built on Eclipse App and optical fingerprint recognition function are implemented in the door lock. Finally, it was confirmed that the security of the door lock can be strengthened through evaluation results of the app-based operation test, the voice recognition operation test, and the fingerprint recognition operation test on the experiment-made door lock system.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.2
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• pp.21-28
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• 2021

In this paper, a study on a method for designing and implementing an environmental information system to support environmental activities was done. First of all, research on the similar information system and necessary functions were derived. Necessary functions were largely classified into functions for cooperation such as policy consultation and publicity, and functions for environmental information data. Collaboration functions are classified in detail, and detailed contents of this function are summarized. In addition, a data model was designed for various environmental information, and an information server and client interface are designed as a cloud application. Cloud server configuration and design, and client web and app programs to access these information were implemented and tested each functions successfully.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.457-466
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• 2021

This study sought to identify the effectiveness of training programs by developing mobile app-based training programs to enhance memory, attention, and language function, which is known to be vulnerable to menopause women. It was conducted on 40 Climacteric woman between 40 to 60 years complaining about cognitive function decline. The mobile app-based cognitive training was an 8 week program. There were a total of 24 sessions and each session took 20-30 minutes, three times per week. The survey was carried out including a baseline study pre and post intervention study. The research variables were objective cognitive function (overall cognitive function, memory, attention, and language function), subjective cognitive function and quality of life. The cognitive training program showed a significant increase in overall cognitive function(t=-8.688, p<.001), memory(t=-4.765, p<.001), attention : number of correct answers(t=-7.293, p<.001), language high frequency response speed(Z=-2.179, p=.036), language low frequency response speed(Z=-2.737, p=.009) and quality of life (t=-3.358, p=.002). However, there was no significant difference in the scores for subjective cognitive function. The cognitive training program was found to be an effective intervention for improving the cognitive function of Climacteric women. It could be used as a cognitive intervention tool that is accessible at home without expert help.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.243-250
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• 2016

Recently, with the rise of the mobile device, from mobile devices the user who owns the security, speed up the implementation of the guarantee management environment as businesses and individual equipment for the effcient management of the existing system, but the introduction of the MDM MDM App management features administrators to register the App until you can't prvent the security threat. Therefore, this paper addresses these issues in order to improve the security of your application for the control system. The proposed system is a function of the MDM authentication technology to design analysis, and system architecture to help prevent information disclosure within the design and implementation of Mobile-based application control system. Implementation of the control system to assess the security of the international common criteria security evaluation complete the test scenarios on the basis of the test items. An average of 40% of the test results to verify the results of this enhanced security.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.45-52
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• 2017

In this paper, we investigated the following items for the development of gas safety work mobile app. In this study, which is a follow-up study after the completion of the scenario design and the first, second image extraction of the mobile app based on the initial research that has been studied, 1) Suggested classification of gas works by type classification and risk classification 2) The research and proposal of interaction method for effective interworking of mobile app and worker in many industrial fields of two-hand work have been made. In particular, the development of a mobile app that interacts with the main system that manages not only the gas work but also the field of each industrial field is the first attempt in Korea and has helped the worker to work freely and safely through various interaction methods.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.63-68
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• 2023

In this paper, we introduce a system that tracks and shares the position of objects based on tags. After receiving the location information of objects through the tag location tracking app, the location of the tag is shared as a group, and the shared users also check the location of objects in real time. Our system offer a differentiated function that allows multiple users to manage and supervise the location of objects, compared to legacy systems. The GPS module and Bluetooth are connected to the Arduino board to obtain the location information of the tag and check it through the Android app. We used Android Studio to create app, and the tag brings up the location of the object. The location of the tag is stored in the phpMyadmin DB and the latitude/longitude is received to the Android app and displayed on the map of the app. The proposed system will be useful for loss prevention and managing public goods.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.45-50
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• 2021

In this paper, we propose the development of a smart space security device that can be opened and closed remotely using IoT. Existing space security devices can control opening and closing by breaking hardware or only using button devices or replicated keys. The recent COVID-19 crisis has created several applications for non-contact devices. In this study, we propose the development of a small space security device that has the function of unlocking through an app without touching the device. By transferring the control authority to a smartphone, device that cannot be opened or closed by only operating hardware at the user's option. It is convenient and hygienic because it can be opened and closed using an app without touching the locking device. Multiple security is possible because security can be released using an app after user authentication by fingerprint recognition and pattern input on a smartphone. If the user wishes, after using the app security, the security is released by directly touching a button installed in the safe or space or opening it with a key. In addition, by adding an inactive function to the app, it is designed so that the door of the safe cannot be opened when the key is lost or the small safe is lost. This study is expected to be able to effectively expand the security system by applying variously to objects that require security.

• Journal of Korea Trade
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• v.24 no.7
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.