• 한국정보통신학회논문지
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• 제24권7호
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• pp.866-872
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• 2020

실내 위치 기반 서비스는 사람과 물체 간의 거리에 기반한 서비스를 제공한다. 이러한 실내 위치 기반 서비스는 최근 키넥트와 같은 저렴한 가격의 깊이 센서를 활용하여 구현하는 경우가 증가하고 있다. 다수의 깊이 센서들은 사람의 위치를 트랙킹하는 기능을 기본으로 제공한다. 하지만 물체의 위치는 직접 수동으로 측정해야 한다. 물체의 3차원 위치를 획득하기 위해서는 3차원 인터랙션이 필요한데 이는 일반 사용자들에게는 어렵다는 단점이 있다. 반면에 일반 사용자가 쉽게 사용할 수 있는 GUI (Graphical User Interface) 의 경우에는 3차원 위치 획득이 제한된다. 본 연구는 이러한 문제를 해결하고자 개발된 ILOCAT (Interactive LOcation Context Authoring Toolkit)을 제안한다. ILOCAT 은 일반 사용자들이 실공간에서 GUI를 활용하여 쉽게 물체의 3차원 위치를 취득할 수 있도록 설계되었다. 본 논문은 ILOCAT 의 디자인 및 구현을 상세히 설명한다.

• Smart Structures and Systems
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• 제29권1호
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.749-759
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• 2020

Over the years, numerous Micro, Small, and Medium Enterprises (MSMEs) have been vigorously established across many countries. Even though the Internet of Things (IoT) has enabled companies to anchorage business returns, most Indonesian MSMEs are highly susceptible to failure and one of the main issues is the inability to manage their financials effectively. The literature on accounting points out that the success of MSMEs owing to the usage of cloud-based Accounting Information Systems (AIS) or Cloud Accounting (CA) could reduce the rate of failure by managing multiple accounting information at a low cost. Although many benefits exist, Indonesian MSMEs are not adopting these platforms in their daily business activities. This study investigates the factors that influence Indonesian MSMEs' intention to adopt CA. The study is directed by unstructured in-depth interviews with seven bestseller MSMEs where a thematic analysis technique was employed to identify them. The interview findings and prevailing literature on the influencing factors based on the TOE (technological, organizational, and environmental) framework to adopt CA in Indonesian MSMEs context are perceived benefits outweighing the cost, perceived compatibility, perceived complexity, owner-manager knowledge on accounting, organization size, competitive pressure, and informal network. The conceptual model further includes government intervention as a moderator in the model.

• Journal of Multimedia Information System
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• 제4권3호
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• pp.123-144
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• 2017

Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.

• 인터넷정보학회논문지
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• 제17권5호
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• pp.9-16
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• 2016

Pervasive computing and Internet of Things (IoT) have recently received considerable interest to deploy solutions for the future Internet. Smart environments are integrated with Semantic Web to provide context-awareness to the processed information. Self-learning techniques have been adopted within smart solutions for efficient retrieval of data but do not process data with privacy parameters for in-place authorization. To overcome this issue, we present a novel approach of deploying access control as a service mechanism within Semantic Web based smart environment by using eXtensible Access Control Markup Language (XACML). The proposed XACML as a Service (XACMLaaS) approach offers fine-grained access control for protecting information within smart environment. In this paper, we have defined mathematical rules for each components of proposed access control service layer. These rules are for implementation of access control using XACML. The proposed approach allows the adaptation of authorization of information at component level and provides scalable solution for authorization policies and rule enforcement within smart environment.

• 한국멀티미디어학회논문지
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• 제21권8호
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• pp.991-1001
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• 2018

In the context of the 4th Industrial Revolution, IoT, Big Data, and VR are rapidly emerging as core sectors of future industries. In particular, the VR has been under the limelight as a new media content appealing to new generation. And the VR user is not merely a 'spectator', but the 'actor'. In other words, the newness of VR is not in the 'more likely representation of the virtual reality', but in the 'making it act more virtual (more technically, 'interactive')' in the virtual world. In this paper, we examine the VR cinema in terms of film composition unit, montage, cinematic space, mise-en-$sc{\grave{e}}ne$ and perspective. The VR cinema, which is in the early stage of evolution, is basically based on $360^{\circ}$ image that strengthens the autonomy of the audience's point of view, but other factors like haptic or sonic immersion are becoming increasingly important. In addition, the VR cinema will be combined with AR, MR, SR, and Interactive technologies, and will expand its horizon as it is produced in various forms. Therefore, it is expected that more detailed viewpoint will be applied in the subsequent study on VR cinema.

• 한국인터넷방송통신학회논문지
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• 제17권1호
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• pp.159-165
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• 2017

고령자들이 증가하면서 고령자들을 위한 다양한 IT 홈 시스템에 대한 연구가 활발히 진행 중이다. 하지만 대부분의 시스템들이 위급한 상황이 발생할 경우 데이터를 전송하는 부분에 초점이 맞춰져 있으며 주거환경에서의 에너지 저감 부분을 고려한 시스템은 찾아보기 쉽지 않다. 사실, 기존의 고령자 주거를 위한 시스템들은 시스템의 기능 수행을 위하여 오히려 더 많은 전력의 소비를 촉진한다. 본 논문에서는 에너지 저감기능을 포함한 위험상황을 모니터링 시스템을 연구 및 구현 한다. 본 시스템을 통하여 위급상황을 모니터링 하면서도 저전력 주거환경을 현실화함으로써 고령자 사회와 그린 사회의 두가지 미래 지향적인 요소를 만족할 수 있을 것이다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.333-339
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• 2022

The purpose of the article is to identify priority trends of technological innovations and strategic opportunities for using the smart potential to the benefit of the Russian industrial production development in the context of digital transformation. The article substantiates the demand for technological process automation at industrial enterprises in Russia and considers the possibilities of using artificial intelligence and the implementation of smart manufacturing in the industry. The article reveals the priorities of the leading Russian industrial companies in the field of digitalization, namely, an expansion of the use of cloud technologies, predictive analysis, IaaS services (virtual data storage and processing centers), supervisory control, and data acquisition (SCADA), etc. The authors give the characteristics of the monitoring of the smart manufacturing systems development indicators in the Russian Federation, conducted by Rosstat since 2020; presents projected data on the assessment of the required resources in relation to the instruments of state support for the development of smart manufacturing technologies for the period until 2024. The article determines targets for the development of smart technologies within the framework of the Federal Project "Digital Technologies".

• 대한임베디드공학회논문지
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• 제18권4호
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• pp.165-172
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• 2023

Heterogeneous computing is a technology that utilizes different types of processors to perform parallel processing. It maximizes task processing and energy efficiency by leveraging various computing resources such as CPUs, GPUs, and FPGAs. On the other hand, edge computing has developed with IoT and 5G technologies. It is a distributed computing that utilizes computing resources close to clients, thereby offloading the central server. It has evolved to intelligent edge computing combined with artificial intelligence. Intelligent edge computing enables total data processing, such as context awareness, prediction, control, and simple processing for the data collected on the edge. If heterogeneous computing can be successfully applied in the edge, it is expected to maximize job processing efficiency while minimizing dependence on the central server. In this paper, experiments were conducted to verify the feasibility of various parallel programming models on high-end and low-end edge devices by using benchmark applications. We analyzed the performance of five parallel programming models on the Raspberry Pi 4 and Jetson Orin Nano as low-end and high-end devices, respectively. In the experiment, OpenACC showed the best performance on the low-end edge device and OpenSYCL on the high-end device due to the stability and optimization of system libraries.

• Journal of Korea Trade
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• 제26권8호
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• pp.1-20
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• 2022

Purpose - The paper aims to develop the theory of TAM and perceived risk through a more comprehensive and rigorous understanding of the influencing factors of the consumer's adoption of LG HomNet smart home from the perspective of trade-offs. Design/methodology - Based on the TAM and perceived risk theory, combined with the individual characteristics of consumers in the context of information technology as the external factors of the technology acceptance model, this paper constructs a theoretical model of the factors affecting the use intention of the consumer. It was empirically tested by using SEM, and survey data was collected from 458 respondents. Findings - The research results show that 9 hypotheses of the research model are supported and have reliable prediction accuracy. Consumers' perceived interest, perceived connectivity and perceived controllability have a significant positive impact on their intention to use. In addition, this paper also confirmed the mediating effect of perceived usefulness and perceived ease of use. Originality/value - Consumers are very concerned about gains and losses. Low-level performance risks, security risks, and financial risks will drive the consumer to have a stronger intention to use, and financial risks have the strongest impact. This research provides a useful implication and guidance for smart home equipment manufacturers and service providers in product and service innovation and marketing and promotion strategies.