• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.162-168
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• 2014

In this study, we propose a emotion sharing system that is sharing users emotion change according to the location of the user where users was shared his emotion information and to the emotion. The system consists of a emotion sharing server and mobile smartphone apps. Emotion smartphone app represent status of emotion and location of users who wants to share emotion at map services based the Google Map API. Emotion sharing server was implemented using a RESTful way to allow emotion sharing between different variety platform besides mobile platforms. Emotion information that is exchanged on a emotion sharing server is stored in an XML fromat. We were confirm emotion sharing system that it could be sharing moving emotion change according to the user's location through map service.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.211-215
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• 2016

In this paper, we utilize a service provided by the existing bus information system. To improve the limitations of the bus information system the information provided to the passenger using the bus. By applying the IoT sensor network system. congestion information of the bus provided to customer. Provides information in addition to the existing bus congestion information to passengers wishing to use public transport from the smartphone app with an existing information system. The bus congestion information in addition to the existing information to passengers who want to use public transport provided in the existing information system and smartphone apps. Prevent accidents that might occur due to congestion in the bus, efficient and convenient way to propose an improved bus information system for public transport. Developed a prototype system using the IOT sensor network verified the proposed method.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.141-148
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• 2018

Currently, the user authentication technology used by users to access multiple applications within an organization is being applied with ID/PW-based SSO technology. These user authentication methods have the fundamental disadvantages of ID/PW and SSO. This means that security vulnerabilities in ID/PW can lead to periodic changes in PWs and limits on the number of incorrect PW inputs, and SSO adds high cost of the SSO server, which centrally stores the authentication information, etc. There is also a fundamental vulnerability that allows others to freely use other people's applications when they leave the portal application screen with SSO. In this paper, we proposed an app-based 2-channel authentication scheme to fundamentally eliminate problems with existing ID/PW-based SSO user authentication technologies. To this end, it distributed centralized user authentication information that is stored on SSO server to each individual's smartphone. In addition, when users access a particular application, they are required to be authenticated through their own smartphone apps.

• Convergence Security Journal
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• v.15 no.3_2
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• pp.43-51
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• 2015

Many of crimes are solved by the report of people. Therefore, countries pay compensation to crime reporter. However, the current system of compensation is focused on the report of criminal fact and criminals arrest, so that there is no compensation on the providing evidence. On the other hand, since the current judicial system adopted the principle of trial by evidence, all the facts are made by the evidence. But it is impossible to obtain all the evidence only by law enforcement agencies. Therefore, it is necessary for people to report the evidence positively. So it is necessary to positively take advantages of smart phones, vehicle black boxes and cctvs. Various incentives such as compensation would be needed to require the evidence of smartphone or black box, cctv. In order to strengthen evidence report, it will be needed the legislation of crime report compensation, smartphone apps development including the provision of various incentives.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.4
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• pp.315-321
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• 2017

This paper is a study on the design and realization of Pedestrian navigation service system for the visually impaired. As it is an user interface considering visually impaired, voice recognition functioned smartphone was used as the input tool and the Osteoacusis headset, which can vocally guide directions while recognizing the surrounding environment sound, was used as the output tool. Unlike the pre-existing pedestrian navigation smartphone apps, the developed system guides walking direction by the scale of the left and right stereo sound of the headset wearing, and the voice guidance about the forked or curved path is given several meters before according to the speed of the user, and the user is immediately warned of walking opposite direction or proceeding off the path. The system can acquire stable and reliable directional information using the motion tracker with the dynamic heading accuracy of 1.5 degrees. In order to overcome GPS position error, we proposed a robust trajectory planning algorithm for position error. Experimental results for the developed system show that the average directional angle error is 6.82 degrees (standard deviation: 5.98) in the experimental path, which can be stated that it stably navigated the user relatively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.8
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• pp.544-554
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• 2014

In this paper, we introduce a cyber-physical intersection systems (CPIS) which intimately interconnects roadside units (RSU) located at intersection, on-board units (OBU) of moving vehicles, and smartphone apps. Based on the architecture of CPIS, we also present a green light optimal speed advisory based on the reference mobility models (GLOSA-RMM) to reduce intersection stopping time (IST) and fuel consumption. Based on several reference mobility models, the GLOSA-RMM determines the appropriate speed advisory by taking into account the current mobility and the intersection traffic light status, and then provides screen/voice GLOSA instructions to minimize the driver's distraction. We show that the GLOSA-RMM can reduce both the IST and the fuel consumption through the numerical results obtained from the prototype of the CPIS consisting of the OBU, the RSU and the smartphone app.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.562-568
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• 2014

With the development of computer technology, augmented reality (Augmented Reality, AR) technology in the future, one of the main directions of development of human interface technology is emerging. On augmented reality based on the design and implementation of a digital business card system. In this paper, a Smartphone is simply information through recognizable digital business card contains information about the system. Digital business card system is compared to the way existing hardware in a way visually-based high precision. In addition, registered as a 3D computer vision of augmented reality technology skills and real-world situations convergence technology for research. Future research, 3D electronic map for Smartphone apps as of the application user interface on the side for research is needed.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.1-18
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• 2015

Recent trends of mobile convergence has already brought about many changes in our digitally-powered society. Especially, taking advantage of strengths of existing mobile devices and smart phones have already been established as a primary standard in the business intelligence world. Such high-powered digital devices equipped with mobile convergence functions are getting more momentum as app stores are prevailing. Basically, the app stores are administered by smart phone manufacturers, creating a new business ecosystem among app developers and end-users. However, there are paucity of studies tackling an issue about how users' repurchase intention of the apps is influenced by the service qualities of the app stores. In this respect, this study aims to investigate the effect of app store service quality on users' satisfaction and repurchase intention. As the value of loyal customers is incomparably high in app commerce, winning customers' loyalty is vital to the success of app stores. In this study, a customer is defined as one who has purchased goods or services at least once from the app stores. The proposed research model includes a number of constructs such as app perceptions, customer service, perceived ease of use, design, promotion, perceived consumer risk and connectivity. Empirical results revealed that perceived consumer risk has a negative relationship with consumer's perceived repurchase intention. All the other variables-app perceptions, customer service, perceived ease of use, design, promotion, connectivity- are found to be positively related with the repurchase intentions.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.259-266
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• 2023

In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.

• Information Systems Review
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• v.26 no.2
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• pp.95-121
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• 2024

The rapid increase in smartphone ownership underscores the importance of service delivery in the mobile environment. Accordingly, the public sector is allocating budget and effort towards providing services through mobile applications. While some have recorded high download numbers, contributing to the proliferation of public services, issues such as low user engagement and budgetary concerns have simultaneously been raised. This study aims to analyze factors influencing the intention to use public apps with the theoretical foundation of the Technology Readiness Acceptance Model (TRAM) to enhance users' acceptance of public apps. Previous research has primarily focused on system characteristics, but this study constructs the model with a significant consideration for user characteristics. Additionally, through a comprehensive examination of publicness, which has been lacking in existing research, the study integrates this aspect into the model. Ultimately, this research provides insights into the factors influencing users' intention to use public apps and suggests approaches to enhance usage intention for the successful implementation of a Digital Platform Government.