• Information Systems Review
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• v.18 no.3
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• pp.97-110
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• 2016

Real estate brokerage app service is an emerging online-to-offline (O2O) business model. This study analyze the relationship between the satisfaction and reuse of real estate app services through a survey of experienced users of the application. The results show that "ease of use" and "usefulness" of the online app service positively affect customer satisfaction and eventually affects reuse. Moreover, ease of use and usefulness of the offline brokerage introduced by the application positively affects customer satisfaction and eventually affects reuse too. One meaningful finding is the stronger impact of usefulness on customer satisfaction than that of ease of use in both online and offline situations. This finding implies that the value of usefulness is bigger than that of ease of use because of users who purposely use the application to find relevant real estates. The effect of online customer satisfaction on reuse is slightly higher than that of offline. This finding suggests that need to develop a strategy for online applications that focuses on enhancing the usefulness of real estate brokerage app services in the O2O market.

• International Journal of Contents
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• v.7 no.2
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• pp.11-16
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• 2011

In this paper, we develop a mobile MAP open API using HTML5 local storage and the W3C geolocation API. The mobile MAP open API consists of the basic JavaScript MAP API, offline navigation API, and multimedia POI (mPOI) API. The basic JavaScript MAP API creates a map and controls, rotates, and overlays data on the map. The offline navigation API is developed using HTML5 local storage and web storage. The mobile web application downloads and stores mPOIs of works of art to local storage or web storage from a web server. The mPOI API is developed using HTML5 video and audio APIs. We develop a mobile art park guidance application using the developed mobile MAP open API.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.57-64
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• 2020

The widespread use of smartphones with a variety of features has enabled mobile Internet-based services. One of these is online-to-offline (O2O) based services that connects online users with offline stores to add value. Applying this O2O strategy to local information retrieval induces online users to be linked to offline regions, thereby enabling the exchange of local-based information and helps create new value. This paper proposes and illustrates the implementation of O2O-based a local information providing service that utilizes photos of the local attraction. Also, we propose a fake-free ranking method to provide reliable local information to users and suggest its application of the service.

• English Language & Literature Teaching
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• v.11 no.3
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• pp.113-137
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• 2005

The purpose of this research is to introduce a new pedagogy for developing English education in the university. It is based on the favorable results of the application of Network English, which is a method that has been used in three classes at Y University for a period of one semester. Network English is a kind of integrated teaching method of offline and online education, and can be a learner-oriented educational method. The online aspect gives learners easier access to the text, regardless of time and place. And in addition to the characteristic of online itself, the various contents in conformity with the learning ability of learners are provided in the text, in order that the learners can get and maintain a desire for study without losing their interest in English. Although the offline part is not much different from traditional classes, the offline education can complement the deficiency of the online and also offer the learners the opportunity for questions and answers. From the results of application of Network English in three classes, the students were satisfied with the method and have more interest in English, which resulted in better grades.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.925-933
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• 2018

In this paper, we propose a new smart ordering application system for granting the customer numbers. The proposed system assigns sequence number of customers who visit at offline store as using speaker and microphone of smart device. This system has more advantage than the existing ordering system. Because the proposed system does not need any customer information like as phone number or SNS ID, it can protect customer privacy information. In this system, we use high frequency which is inaudible to the human ear as communication signal between speaker and microphone. To confirm performance evaluation, we perform a test with ten smart devices like as iPhone 6, 7, 8, Galaxy s8 and the result shown a success rate of 98.7 percent. Therefore, the proposed system can be useful service technology at the various offline store which need to assign a sequence number for customers, because many customers visit at the store.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.6
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• pp.329-335
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• 2018

Offline-first strategy is that it allows data to be saved while offline, and when connected online, data is synchronized to ensure that all devices have the same data. Multi-device is a term that shares data through synchronization on various platforms on Android, ios, etc. First, all of the data is stored in the local repository like SQLite and then on the server via HTTP communication. Then, the synchronization is completed by receiving the changed data from the server and storing it in the local repository at the time of the synchronization, and sending the changes to the server from the client. We proposed and implemented a database structure, APIs, and a illustrative application running on PC and Android phone.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.633-650
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• 2013

All the imputation techniques proposed so far in literature for data imputation are offline techniques as they require a number of iterations to learn the characteristics of data during training and they also consume a lot of computational time. Hence, these techniques are not suitable for applications that require the imputation to be performed on demand and near real-time. The paper proposes a computational intelligence based architecture for online data imputation and extended versions of an existing offline data imputation method as well. The proposed online imputation technique has 2 stages. In stage 1, Evolving Clustering Method (ECM) is used to replace the missing values with cluster centers, as part of the local learning strategy. Stage 2 refines the resultant approximate values using a General Regression Neural Network (GRNN) as part of the global approximation strategy. We also propose extended versions of an existing offline imputation technique. The offline imputation techniques employ K-Means or K-Medoids and Multi Layer Perceptron (MLP)or GRNN in Stage-1and Stage-2respectively. Several experiments were conducted on 8benchmark datasets and 4 bank related datasets to assess the effectiveness of the proposed online and offline imputation techniques. In terms of Mean Absolute Percentage Error (MAPE), the results indicate that the difference between the proposed best offline imputation method viz., K-Medoids+GRNN and the proposed online imputation method viz., ECM+GRNN is statistically insignificant at a 1% level of significance. Consequently, the proposed online technique, being less expensive and faster, can be employed for imputation instead of the existing and proposed offline imputation techniques. This is the significant outcome of the study. Furthermore, GRNN in stage-2 uniformly reduced MAPE values in both offline and online imputation methods on all datasets.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.115-123
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• 2018

This study explores unified service experience to boost O2O services. Previous studies on service management and marketing only focused on customer experience in offline stores, while prior works on information systems looked only at the experience of services in mobile applications. In this vein, this study took into accounts the characteristics of offline stores and the benefits of their mobile applications. Moreover, the final dependent variable was share of wallet to measure customer's expenditure within the category. The theoretical model was tested based on 219 consumers who frequently visit Starbucks and use its mobile application. PLS method was applied to analysis the research model and hypotheses. The analysis results showed that customer satisfaction about offline store is not significantly related to share of wallet, while satisfaction about mobile application plays a significant role in enhancing share of wallet. Hedonic and social benefits were found to have significant effects on satisfaction about mobile application. The analysis results help establish service marketing and strategies to enhance the unified customer experience of O2O service.

• Journal of the Korean association of regional geographers
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• v.5 no.1
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• pp.163-185
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• 1999

The purpose of this study is to develop the model of constructivist multimedia-assisted instruction(CMAI) and to analyze the effect of it in the secondary school geography. The main results are as follows : (1) The conceptual model of CMAI can be defined as an instruction aiming at making a person who has self-directed learning ability through constructivism and multimedia. The procedural model of CMAI based on PIDA instructional strategy is divided into four stages : prediction & explanation, inquiry activity, discussion & fixation, application & synthesis stage. (2) CMAI is typed by offline CMAI and online CMAI. that is, O/WCMAI(online CMAI by web-based courseware). Offline CMAI is subdivided into P/TCMAI(offline CMAI by presentation-based courseware) and C/RCMAI(offline CMAI by cd-rom based courseware) according to authoring tool and function. (3) Offline constructivist multimedia course-ware(offline courseware) was developed for 2 periods as the material to analyze the effect of CMAI. Offline courseware is received development level of it. (4) After offline courseware being applied to the class, the effect of it according the types of the CMAI instruction(lecture instruction, whole teaching, individualized learning, cooperative learning) was analyzed. As the result of analyzing the descriptive statistics of the level of learning achievement and instruction response, there isn't big relationship between them. As the result of analyzing the inferential statistics of the level of learning achievement, there wasn't significant difference between the types of CMAI instruction in whole student of the classes and certain students who improved their grades. But as the result of analyzing of the level of instruction response, there was significant difference between lecture instruction and other types of the CMAI instruction(whole teaching, individualized learning, cooperative learning).

• Molecules and Cells
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• v.47 no.2
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• pp.100011.1-100011.3
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• 2024

Online application for survival analysis (OASIS) and its update, OASIS 2, have been widely used for survival analysis in biological and medical sciences. Here, we provide a portable version of OASIS, an all-in-one offline suite, to facilitate secure survival analysis without uploading the data to online servers. OASIS portable provides a virtualized and isolated instance of the OASIS 2 webserver, operating on the users' personal computers, and enables user-friendly survival analysis without internet connection and security issues.