• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.674-678
• /
• 2008

Our research is for development of smart object in WBAN environment. Too many smart object in various computing device were developed, but users always attention to their lot of smart objects and any personal things now. So we need smart object that classification and management all of user's personal devices and any effects in invisible and seamless system. We discussed how develop do that object in WBAN(Wireless Body Area Network) system and how make components in this system to wireless network in this paper.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.4
• /
• pp.155-165
• /
• 2013

For the service and creation of new space, the next generation smart device for interactive space using tailor-made contents process serve as an opportunity for the growth of new special display due to the integration of the latest digital technology. The application of next generation technology is in the field that most people expect. So, this thesis serving as the beginning, it is hoped that the smart mirror and wall industry in Korea will play a practical and academic momentum. An interactive environment which is the smart device can be realized when space displays based on smart device built on the experience of the user can provide various tailor-made processes such as academics, performances, meetings, virtual experience, exhibits and promotion, and through this a strategic direction was suggested for the development of each field.

• International journal of advanced smart convergence
• /
• v.11 no.1
• /
• pp.42-47
• /
• 2022

As smart factory is the factory which produces the products according to the customer's diverse demand and the changing conditions in it, it can be characterized by flexible production, dynamic reconstruction, and optimized production environment. To implement these characteristics, many kind of configuration elements in the smart factory should be connected to and communicated with each other. So the network is responsible for playing this role in the smart factory. As SDN (Software Defined Network) is the technology that can dynamically cope with the explosive increasing data amount and the hourly changing network condition, it is one of network technologies that can be applied to the smart factory. In this paper, we address SDN function and operation, SDN model suitable for the smart factory, and then performs the simulation for measuring this model.

• Journal of Digital Convergence
• /
• v.14 no.5
• /
• pp.165-176
• /
• 2016

The purpose of this study is to examine the effects of the IT resources on the work efficiency and corporate performance in Mobile Smart-Work Environment with IT convergence Technology by applying the Resource-Based View. The study has an academic meaning by empirically analyzing the effects of factors identified based on the existing study on the IT resources in Mobile Smart-Work, and practical implications to identify how the significance of the Mobile Smart-Work used as a platform of variety industries in manufacturing, logistics, service, distribution, finance, public institutions, and so on positively affects improvement of corporate efficiency and performance. The results showed that IT Infrastructure and IT skills in the Mobile Smart-work environment were found to bring positive effects on individual work efficiency, and IT skills had positive influence on team work efficiency. Also, we confirmed the individual and team work efficiency positively affect financial and market performance of business firms. Finally, we expect that business firm equipped with IT resources in the Mobile Smart-Work environment with IT convergence Technology. It can improve this work efficiency and the performance, which leads to strengthening the core competency.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.1
• /
• pp.124-133
• /
• 2021

Smart factory is a future factory that collects, analyzes, and monitors various data in real time by attaching sensors to equipment in the factory. In a smart factory, it is very important to inquire and generate the status and history of equipment in real time, and the emergence of various smart devices enables this to be performed more efficiently. This paper proposes a multi device-based system that can create, search, and delete equipment status and history in real time. The proposed system uses the Android system and the smart glass system at the same time in consideration of the special environment of the factory. The smart glass system uses a QR code for equipment recognition and provides a more efficient work environment by using a voice recognition function. We designed a system structure for real time equipment monitoring based on multi devices, and we show practicality by implementing and Android system, a smart glass system, and a web application server.

• Convergence Security Journal
• /
• v.22 no.1
• /
• pp.129-134
• /
• 2022

A smart platform is defined as an evolved platform that realizes physical and virtual space into a hyper-connected environment by combining the existing platform and advanced IT technology. The hyper-connection that is the connection between information and information, infrastructure and infrastructure, infrastructure and information, or space and service, enables the realization and provision of high-quality services that significantly change the quality of life and environment of users. In addition, it is providing everyone with the effect of significantly improving the social safety net and personal health management level by implementing smart government and smart healthcare. A lot of information produced and consumed in these processes can act as a factor threatening the basic rights of the public and individuals by the informations themselves or through big data analysis. In particular, as the smart platform as a core function that forms the ecosystem of a smart city is naturally and continuously expanded, it faces a huge security burden in data processing and network operation. In this paper, platform components as core functions of smart city and appropriate security threats and countermeasures are studied.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.42 no.4
• /
• pp.904-914
• /
• 2017

For efficient energy usage, the concept of demand response has been emerged and thereby Open Automated D emand Response(OpenADR) protocol is developed as a standard protocol to provide automated demand response. There have been emerging trends on the demand response services using the Internet of Things(IoT) for smart h ome energy management. In this smart home energy IoT environment, a lightweight protocol is needed rather tha n the existing HTTP/ XML based OpenADR protocol for demand response services since many small devices wi ll be interconnected. In this paper, we propose a lightweight OpenADR protocol based on CoAP protocol for pro viding demand response service in Smart Energy IoT environment, implement the proposed CoAP-based protocol, and analyzed the performance compared to existing HTTP/ XML-based OpenADR 2.0b protocol.

• Journal of Digital Convergence
• /
• v.12 no.3
• /
• pp.255-261
• /
• 2014

Advances of digital device technology such as digital cameras, smart phones and tablets, provide convenience way for people to take pictures during his/her life. Photo data is being spread rapidly throughout the social network, causing the excessive amount of data available on the internet. Photo retrieval is categorized into three types, which are: keyword-based search, example-based search, visualize query-based search. The commonly used multimedia search methods which are implemented on Smart TV are adapting the previous methods that were optimized for PC environment. That causes some features of the method becoming irrelevant to be implemented on Smart TV. This paper proposes a novel Visual Query-based Photo Retrieval Method in Smart TV Environment using a motion sensing input device known as Kinect Sensor. We detected hand gestures using kinect sensor and used the information to mimic the control function of a mouse. The average precision and recall of the proposed system are 81% and 80%, respectively, with threshold value was set to 0.7.

• Journal of Convergence for Information Technology
• /
• v.8 no.2
• /
• pp.233-238
• /
• 2018

SMEs and small enterprises are making various attempts to manage SMEs in terms of equipment, safety and energy management as well as production management. However, SMEs do not have the investment capacity and it is not easy to build a smart factory to improve management and productivity of SMEs. In this paper, we propose a smart factory construction algorithm that partially integrates the factory equipment currently operated by SMEs. The proposed algorithm supports collection, storage, management and processing of product information and release information through IoT device during the whole manufacturing process so that SMEs' smart factory environment can be constructed and operated in stages. In addition, the proposed algorithm is characterized in that central server manages authentication information between devices to automate the linkage between IoT devices regardless of the number of IoT devices. As a result of the performance evaluation, the proposed algorithm obtained 13.7% improvement in the factory process and efficiency before building the Smart Factory environment, and 19.8% improvement in the processing time in the factory. Also, the cost of input of manpower into process process was reduced by 37.1%.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.16 no.2
• /
• pp.271-278
• /
• 2021

This paper is a study on the implementation of smart filter system that recognizes the external environment and automatically removes pollutants according to pollution level. Recently, the occurrence of various pollutants in indoor and outdoor space has adversely affected the human body. Especially, various fine dust generated in the atmosphere becomes worse in closed residential space or office space. Although air pollution can be temporary lowered through ventilation, it is difficult to respond to fine dust changes in real time, and such problems become serious in the space where many people reside, such as at home or industry. Therefore, it is necessary to measure the pollution level of fine dust inside the residential space in real time and to reduce the pollution of indoor ventilation through automatic ventilation with the outside. To improve these problems, this paper proposes the implementation of smart filter system for external environment recognition. The structure of smart filter system that automatically measures air quality inside and outside, removes pollutants, implements the function, and confirms the operability by manufacturing prototypes. Finally, the effectiveness of the smart filter system for solving fine dust problems was examined.