• Asia pacific journal of information systems
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• v.26 no.1
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• pp.143-162
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• 2016

Social media marketing has gained attention from marketers because of the growing number of social media users. Considering the unique context of each company or organization behind the marketing is necessary when choosing and applying various social media marketing strategies to ensure achievement of better business performance. However, previous studies have focused on context-specific marketing strategies. Accordingly, this study aims to develop context-specific social media marketing strategies. In this study, we first develop a conceptual framework with two items, namely, brand awareness and business orientation of an organization, as criteria, and classify the framework into four contexts. We then propose context-specific social media marketing strategies for each of the contexts. We examine the framework and proposed social media marketing strategies based on multiple case studies. The primary contribution of this study is our context-specific social media marketing strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.248-268
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• 2018

The performance of smartphone applications are usually constrained in user interactions due to resource limitation and it promises great opportunities to improve the performance by exploring the smartphone built-in and embedded sensing techniques. However, heterogeneity in techniques, semantic gap between sensor data and usable context, and complexity of contextual situations keep the techniques from seamless integration. Relevant studies mainly focus on feasibility demonstration of emerging sensing techniques, which rarely address both general architectures and comprehensive technical solutions. Based on a proposed functional model, this investigation provides a general architecture to deal with the dynamic context for context-aware automation and decision support. In order to take advantage of the built-in sensors to improve the performance of mobile applications, an ontology-based method is employed for context modelling, linguistic variables are used for heterogeneous context presentation, and semantic distance-based rule matching is employed to customise functions to the contextual situations. A case study on mobile application authentication is conducted with smartphone built-in hardware modules. The results demonstrate the feasibility of the proposed solutions and their effectiveness in improving operational efficiency.

• Journal of Information Technology Services
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• v.9 no.1
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• pp.113-125
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• 2010

Recently, a smart space with Ubiquitous Environment is expanding rapidly due to the development of Ubiquitous Sensor Network. Therefore, more appropriate and intelligent services of the context awareness system is being required. The previous context awareness system can provide a service to the user through the inference only on the current situation. But, it does not handle certain situation properly when the system provides abnormal result. Also it does not have any proper method of generating reliable semantic data from sensed raw data. In this paper, we are trying to solve the problems as the following approaches. First, the system recognizes abnormal result and corrects it by learning feedback from the user. Second, we suggest a method of converting sensed data into more reliable semantic data. Third, we build the system based on an Ontological context model that is capable of interoperability and reusability. Therefore, the context awareness system of our study can enhance the previous system that can generate more reliable context data, can provide more effective inference method, and can provide more intelligent system structure.

• Journal of Internet Computing and Services
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• v.7 no.5
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• pp.123-134
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• 2006

In this research paper, We have proposed an interpretation structure concerned with context-awareness which is essential to provide intelligent service. The proposed model has an interpretation structure that integrated information of both external and internal context, and been designed to keep independency between context information and application service. To verify the interpretation structure that proposed, we established a test bed (Ubi-Class) in which the concept of context awareness has been introduced to the existing class room, and constituted a scenario, and tested whether intelligent service is performed according to context interpretation.

• Korean Journal of Computational Design and Engineering
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• v.12 no.3
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• pp.171-181
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• 2007

Ubiquitous computing is a vision of our future computing lifestyle in which computer systems seamlessly integrate into our everyday lives, providing services and information in anywhere and anytime fashion. Augmented reality (AR) can naturally complement ubiquitous computing by providing an intuitive and collaborative visualization and simulation interface to a three-dimensional information space embedded within physical reality. This paper presents a service framework and its applications for providing context-aware u-car maintenance services using augmented reality, which can support a rich set of ubiquitous services and collaboration. It realizes bi-augmentation between physical and virtual spaces using augmented reality. It also offers a context processing module to acquire, interpret and disseminate context information. In particular, the context processing module considers user's preferences and security profile for providing private and customer-oriented services. The prototype system has been implemented to support 3D animation, TTS (Text-to-Speech), augmented manual, annotation, and pre- and post-augmentation services in ubiquitous car service environments.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.155-176
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• 2007

An attempt to investigate the effect of gender differences on Korean students' EFL learning orientation was made. To explain a Korean EFL learning context, three criteria (cultural distance between the target country and the host country, communicative needs of the TL, the status of the TL in the host country) are adopted. Moreover, as a contrastive FL learning context from the Imposed FL learning context, a FL learning context where there is a substantial cultural distance from the TL community, communication needs of the TL do not exist, and the TL enjoys a special educational and socioeconomic status in the host country, a concept of an Integrative FL learning context is newly brought up in this paper. As the result of a questionnaire conducted in four different high schools, female learners can be claimed to be more internalized about academic and socioeconomic benefits the TL entails for their social advancement and overcoming inequality between men and women in society, albeit insignificant numerical data.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.2
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• pp.1-7
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• 2009

This paper proposes a context gathering system that obtains user's environment information from sensor and generates user's context profile. To design the system, we classify context and design context model based on traditional context-aware computing. The proposed system supports contexts adaptation service by gathering user's environment characteristics and biological characteristics and generating user profile.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.432-434
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• 2000

본 논문은 IJG(Independent JPEG Group) JPEG 부호기의 처리 과정중 color table 과 context 버퍼를 이용한 color conversion과 downsampling 방법에 대해 소개한다. IJG JPEG은 전처리 과정에서 context buffer 사용함으로써 각 컴포넌트(RGB)에 대한 color conversion과 downsampling을 효과적으로 수행한다. 또한 각 컴포넌트(RGB)에 대한 부동 소수점 연산의 처리 결과를 미리 계산하여 color table에 저장함으로써 color converter에서 이를 참조, 색차 변환 계산에 적용하도록 하여 처리 속도를 향상 시키고 있다. 이에 본 논문에서는 IJG JPEG의 부호화 과정에서 사용되는 context 버퍼의 구조와 필요성 그리고 color table의 구조와 효과에 대하여 소개한다.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.115-125
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• 2007

The purpose of this paper is to propose a new type of NPI licensing context through French subjunctive and ne expletif. The distribution of NPIs on previous studies does not exactly correspond to negative function types. French subjunctive and ne expletif are good guidelines for reclassifying NPI licensing context. My classification is by a hierarchy of strength in negative force: overtly negative proposition > negative entailment > negative implicature. A new type of NPI licensing context is: (i) I-domain for negative implicature (ⅱ) E-domain for negative entailment and (ⅲ) overt negation.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1250-1260
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• 2020

This study proposes a novel deep neural network model that can accurately detect objects and their relationships in an image and represent them as a scene graph. The proposed model utilizes several multimodal features, including linguistic features and visual context features, to accurately detect objects and relationships. In addition, in the proposed model, context features are embedded using graph neural networks to depict the dependencies between two related objects in the context feature vector. This study demonstrates the effectiveness of the proposed model through comparative experiments using the Visual Genome benchmark dataset.