• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.49-57
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• 2022

Currently, the problem of food shortage is emerging in our society due to climate problems and an increase population in the world. As a solution to this problem, we propose a multi-remote control smart farm that combines artificial intelligence (AI) and information and communication technology (ICT) technologies. The proposed smart farm integrates ICT technology to remotely control and manage crops without restrictions in space and time, and to multi-control the growing environment of crops. In addition, using Arduino and deep-learning technology, a smart farm capable of multiple control through a smart-phone application (APP) was proposed, and Ai technology with various data securing and diagnosis functions while observing crop growth in real-time was included. Various sensors in the smart farm are controlled by using the Arduino, and the data values of the sensors are stored in the built database, so that the user can check the stored data with the APP. For multiple control for multiple crops, each LED, COOLING FAN, and WATER PUMP for two or more growing environments were applied so that the user could control it conveniently. And by implementing an APP that diagnoses the growth stage through the Tensor-Flow framework using deep-learning technology, we developed an application that helps users to easily diagnose the growth status of the current crop.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.33-39
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• 2023

The global surge in depression and anxiety, intensified by challenges such as cost and stigma, emphasizes the pressing need for accessible, evidence-based digital solutions. The research centers on the creation of a mobile application specifically designed to address mental health challenges. By integrating cognitive behavioral therapy techniques and features like appointment bookings and mindfulness feedback tools, the app is positioned to improve user outcomes. Utilizing platforms like React Native and React, combined with NestJS for enhanced backend security, the application adheres to the rigorous standards required for mental health interventions. Collaborative efforts with experts, notably the counseling unit of IIUM, ensure the app's alignment with contemporary best practices and research. Preliminary findings indicate a promising tool with the potential to address the global mental health treatment disparity.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1433-1442
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• 2018

This study develops and improves the EZ Touch App of the scorecard application (app) using the smartphone and the pad, and works with the customer management system (C/S). The research was conducted as follows. First, how do you handle the EZ Touch input method on a scorecard? Second, how to configure the platform of customer (member) management system (C/S) and data server system? Third, does EZ Touch App work organically with customer management system (C/S)? The developed EZ Touch is entered into the scorecard as an input method using the gesture as a result of this research, and it is linked with the C/S system to organize the review function, hall information function, field coaching function through score, It can be used for applications such as information management functions and statistics through differentiated statistics. However, there are some problems and improvements in user convenience in real time use. I think there is a need to study to solve this problem in the future. EZ Touch input method is input to the scorecard by inputting gesture of the finger as a result of this study, and it is linked with this, and it is possible to use differentiated statistics such as review function, hall information function, field coaching function, It is the purpose of the study to improve the technical competitiveness of the product by developing the application.

• Spatial Information Research
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• v.21 no.1
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• pp.1-13
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• 2013

This paper describes a GIS framework for geo-semantic information retrieval in mobile computing environments. We built geographic ontologies of POI (point of interest) and weather information for use in the combination of semantic, spatial, and temporal functions in a fully integrated database. We also implemented a geo-semantic app for Android-based smartphones that can extract more appropriate POIs in terms of user contexts and geographic ontologies and can visualize the POIs using Google Maps API (application programming interface). The feasibility tests showed our geo-semantic app can provide pertinent POI information according to mobile user contexts such as location, time, schedule, and weather. We can discover a baking CVS (convenience store) in the test of bakery search and can find out a drive-in theater for a not rainy day, which are good examples of the geo-semantic query using semantic, spatial, and temporal functions. As future work, we should need ontology-based inference systems and the LOD (linked open data) of various ontologies for more advanced sharing of geographic knowledge.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.195-198
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• 2013

초등정보영재학생들에게 있어 스마트폰 앱의 개발은 기본적으로 자바와 같은 프로그래밍 언어 뿐만 아니라 기타 복잡한 프로그래밍 환경 등 어느 정도의 프로그래밍에 대한 지식을 요구한다. 본 연구에서는 전혀 프로그래밍에 대한 기초적인 지식이 없거나 앱에 대한 개발 경험이 없어도 쉽게 앱을 개발할 수 있은 MIT대학의 앱인벤터(AppInventor)를 활용하여 초등정보영재학생들의 창의성을 향상시킬 수 있는 앱 개발 교육프로그램을 개발하고자 하였다. 개발한 교육프로그램은 초등 정보영재 학생들의 창의성 및 문제해결력, 계산적 사고력을 동시에 길러 줄 수 있을 것이다.

• Journal of the Korea Convergence Society
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• v.3 no.2
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• pp.19-26
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• 2012

In accordance with the advent of smartphone and the growth of the Mobile App market, the Mobile game industry is being reorganized. So, This study is to be know the association rules between mobile game apps and mobile apps. Accordingly, To promote the Mobile Game App based on advertisement effectiveness that can be obtained from the characteristics of the game by finding out what to investigate.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.437-443
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• 2013

This thesis enhanced the degree of utilization of smart phone through carrying out the application/app. which search and visit matjip (reputable restaurant) at the travel sites using smart phones. When we search matjip (reputable restaurant) using materialized application, we can select the best matjip (reputable restaurant) we want. Especially, this application evaluates individual restaurants through the level of utilization and satisfaction by consumer including appropriate menus, the style and design of the restaurant, reasonableness of prices, service of restaurant employees and sanitation management by region and registered the information input to DB in advance while classifying based on the evaluation scores to keep track for individual tastes. And individuals can record their personal memories to input columns. On top of that, information field for transportation is also designed to enhance the accessibility during travel, and in the future the application can be further utilized through the expansion of the DB through the input of famous tour sites and acquaintance's house information.

• Journal of the Korean Applied Science and Technology
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• v.38 no.5
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• pp.1255-1264
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• 2021

This study explores the application services recognized by golfers by applying the causal relationship (SEM) to the degree of immersion and consumption behavior of the characteristics of the golf application (App) perceived by consumers in the COVID-19 environment based on the COVID-19 Afterwards, it was intended to provide basic data for predicting the golf industry. For this, a total of 235 people were analyzed using a mobile survey (URL) by the sampling plan from June 1 to August 10, 2021. The results were derived. First, the hypothesis was adopted that the mobility and reliability characteristics of the application had a statistically significant positive (+) effect on the immersion enhancement. First, the hypothesis was adopted that the enhancement of commitment had a statistically significant positive (+) effect on consumption behavior. Finally, it was hypothesized that the informational and mobility characteristics of the application had a statistically significant positive (+) effect on consumption behavior.

• Journal of dental hygiene science
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• v.23 no.3
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• pp.208-215
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• 2023

Background: Dental caries in preschool children can cause early loss of teeth, reduced masticatory function, malocclusion, and speech disorders, making oral care for preschool children essential. However, because children have a poor ability to perform oral hygiene by themselves, educational tools that help establish correct oral health behaviors are required. This study evaluated the effect of toothbrushing application for kids on dental plaque removal and toothbrushing interest in preschool children. Methods: Seven 5-year-old children enrolled in a daycare center participated in the evaluation, and the same children participated in the experiment twice a week. The Pokémon Smile application (App) was used as an auxiliary application for tooth brushing, and the degree of dental plaque removal on the tooth surface was evaluated by quantitative light-induced fluorescence-digital imaging. After the experiment, children's toothbrushing preferences were investigated through interviews. Results: The levels of AREA R30 and AREA R70 measured after the children's toothbrushing as usual decreased compared to those before toothbrushing; however, the change was not significant. The levels of AREA R30 and AREA R70 measured after using the Pokémon Smile App were significantly reduced compared to those before toothbrushing. Children's interest in brushing their teeth increased by 28.59% after using the Pokémon Smile App. Conclusion: The toothbrushing application for kids effectively removes dental plaque by helping preschool children brush their teeth. It also increased preschool children's interest in tooth brushing. Therefore, an oral health education application would be useful for children who need to develop correct oral care methods and habits.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.3
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• pp.230-242
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• 2017

Purpose: The purpose of this study was to develop a self triage application for rescue requests by disaster vulnerable populations. Literature was reviewed in order to define application trends and needs. Methods: Development of the self triage application was conducted in six stages as a hybrid model (analysis, design, development, implementation, evaluation, modification) of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model and Driscoll & Alexander model. Application system function and contents were tried with 6 experts and 4 people with hearing impairments. Results: Expert assessment of the application for self triage showed that reliability at 5 points was the highest, followed by utility at 4.8 points. Scores for quickness and expressiveness were low at 4.6 and 4.2 points respectively. User acceptability assessment of the application was measured at 66.73 points. Conclusion: The results show that the application for self triage is helpful to disaster vulnerable populations by providing relief in disaster situations. It is expected that use of this application as a self rescue ability can be made available for disaster situations. However, it will be necessary to establish policies for communication strategies with rescuers and public relations to improve the access rate of disaster app service.