• Journal of information and communication convergence engineering
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• v.16 no.1
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• pp.31-37
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• 2018

In this work, we propose an analytic framework for evaluating the quality of service and dimensioning the link capacity in the gateway router of a smart farm with a greenhouse eco-management system. Specifically, we focus on the gateway router of an IoT network that provides an access service for smart farms. We design the link capacity of a gateway router that is used for the remote management of the greenhouse eco-management system to accommodate both time-critical and delay-tolerant traffic in a greenhouse LAN. For this purpose, we first investigate the ecosystem for smart farm, and we define the specification and requirements of the greenhouse eco-management system. Second, we propose a system model for the link capacity of a gateway that is required to guarantee the delay performance of time-critical applications in the greenhouse LAN. Finally, the validity of the proposed system is demonstrated through a series of numerical experiments.

• ETRI Journal
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• v.45 no.4
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• pp.650-665
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• 2023

A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time were obtained from 900 households of single apartments. To detect outliers and missing values in smart meter data, a deep learning model, the autoencoder, consisting of a graph convolutional network and bidirectional long short-term memory network, was applied to the smart metering technique. Power management based on the smart metering technique was executed by multi-objective optimization in the presence of a battery storage system and an electric vehicle. The results of the power management employing the proposed smart metering technique indicate a reduction in electricity cost and amount of power supplied by the grid compared to the results of power management without anomaly detection.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.624-629
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• 2016

Recently various types of disaster monitoring system using smart-phones are under active studying. In this paper, we propose a system that automatically performs the disaster and fire detection. Additionally we implement the Arduino-based smart image sensor system in the web platform. When a fire is detected, an SMS is sent to the Fire and Disaster Management Agency. In order to improve fire detection probability, we proposed a smart Arduino fire detection sensor simulation which searches the smart sensor inference algorithm using fuzzy rules.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.221-226
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• 2020

Smart homes have become the state of the art in the reduction and monitoring of energy usage within a residential setting. Emerging threats such as climate change, global warming and volatility in energy prices have fuelled the interest in smart systems. Given that environmental sustainability has become a more significant factor for consumers, this research examines whether consumers' attitudes toward smart home services for efficient energy management differ according to their regulatory focus. Specifically, it is predicted that consumers will have more favorable attitudes toward smart home services for efficient energy management when they are promotion-focused (vs. prevention-focused). The results indicate that respondents with a promotion (vs. prevention) focus reported significantly more favorable attitudes toward smart home services for energy management (e.g., smart cooling/heating system, smart ventilation & air conditioning system, smart thermostats, smart plugs, and smart switches). We suggest that regulatory focus may be an effective marketing and segmentation tool in promoting smart home services for energy management and facilitating their receptiveness to the services.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.2
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• pp.145-162
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• 1992

This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.203-208
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• 2018

This study is concerned with the introduction and operation of smart factories. In order to accomplish the purpose of research, we made a standard system of smart factory and investigated the recognition system. This study was conducted as a grounded theory methodology among qualitative research methodologies. The results of the study are the necessity of a tool to appropriately evaluate the new manufacturing process management system and related management activities to achieve the successful introduction of smart factories and the management performance of the organization. In order to successfully implement the Smart Factory Certification System, it is necessary to establish a certification organization system, enact relevant laws and amendments, operate government-led pilot projects, train professional workers, and establish incentive policies.

• Journal of Smart Tourism
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• v.3 no.2
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• pp.1-3
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• 2023

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.25-31
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• 2013

Medication adherence is a basic and important element in diabetes management, and it has been known the adherence rate should be keep over 80% to get positive result in diabetes management. In order to increase medication adherence, there have been smart phone apps that record medication, exercise, and diet. However, diabetes patients are generally over 50s, and most of them do not use smart phones. Therefore, in this paper, we propose a medication adherence help system that support both smart phone apps and feature phone SMS. Furthermore, we introduce system architecture for the system. Our work will help ICT-based diabetic management system developers to consider some issues for mobile based diabetic management systems..

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.284-291
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• 2018

As environmental pollution has become worse green technologies to replace or reduce consumption of fossil fuel get spotlight from government, industry and academia globally. It is reported that 40% of carbon dioxide emission is caused by electricity power generation. And 37% of end user electricity power is used by residential costumer in US. Smart Grid is considered as one of promising technology to alleviate severe environmental problem. In residential environment, Home Energy Management System (HEMS) can play a key role for green smart home. The HEMS can give several benefits like aslowering electric utility bill, improvement of efficiency of electric power consumption and integration of generator using renewable energy resources. However just limited functions of HEMS can be used for residential customer in real life because of lack of smart function in home appliances and optimal managing software for HEMS. This study provides comprehensive analysis for Home Energy Management System for residential customer. Simple HEMS system with real products on the market are explained and limitation of current HEMS are also discussed.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.613-622
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• 2014

In spite of the convenience and cost-effectiveness of an electronic document management system the paper-type documents still should be stored for a comparison against the original documents. In this paper, for the efficient management of paper documents, we designed and implemented a document management system using smart devices equipped with NFC(Near Field Communication) technology. To implement the proposed system we designed a database for document management and developed an Android application for smart device using Eclipse 3.0 and Java programming. Whenever we touch the smart phone on the NFC tags which are attached to the paper-type documents and document boxes, it is possible to registering, searching and carrying in and out services for documents and boxes. This study provides smart phone users with systematic, economical and convenient paper-type documents management functions, and thus enhances the business efficiency.