• Korean Journal of Community Nutrition
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• v.13 no.2
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• pp.237-243
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• 2008

It was examined whether altering vision would influence food intake through consumption monitoring and whether this would be reflected in consumption estimate and satiety. The experiment was designed in two visibility levels: 1) an accurate visual cue (bowl covered with wrap) vs 2) a biased visual cue (bowl covered with foil). Thirty three female college students participated in this study. The subjects ate Kimbab in the lab once a week for 2 weeks. They were served 24 pieces of Kimbab in a bowl covered either with wrap or foil. The results showed that the actual Kimbab intake from the bowl covered with foil was significantly lower than the test using wrap ($13.4{\pm}3.3$ pieces vs $15.0{\pm}3.8$ pieces, p < 0.05). And there were no significant differences from the cognitive Kimbab intake between the tests with foil and wrap. However, the satiety rate of Kimbab in a bowl covered with foil was significantly higher than that with wrap at 1 hour and 2 hour after the Kimbab eaten (p < 0.05). Less consumed cases were recognized by subjects due to the inaccuracy during the consumption monitoring process. This result revealed that vision influences not only eating behavior but also subjective feelings of satiety after meal. In conclusion, the consumption monitoring by visual cues can play an important role in food intake and satiety rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4781-4803
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• 2017

Environmental monitoring systems using Wireless Sensor Networks (WSNs) face the challenge of high power consumption, due to the high levels of multi-hop data communication involved. In order to overcome the issue of fast energy depletion, a proof-of-concept implementation proves that adopting a clustering algorithm in environmental monitoring applications will significantly reduce the total power consumption for environment sensor nodes. In this paper, an energy-efficient WSN-based environmental monitoring system is proposed and implemented, using eight sensor nodes deployed over an area of $1km^2$, which took place in the city of Tabuk in Saudi Arabia. The effectiveness of the proposed environmental monitoring system has been demonstrated through adopting a number of real experimental studies.

• Journal of IKEEE
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• v.13 no.3
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• pp.39-46
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• 2009

Wireless sensor networks consist of small, autonomous devices with wireless networking capabilities. In order to further increase the applicability in real world applications, minimizing energy consumption is one of the most critical issues. Therefore, accurate energy model is required for the evaluation of wireless sensor networks. In this paper we analyze the power consumption for wireless sensor networks. To develop the power consumption model, we have measured the power characteristics of commercial Kmote node based on TelosB platforms running TinyOS. Based on our model, the estimated lifetime of a battery powered sensor node can use about 6.9 months for application of human detection using PIR sensors. This result indicates that sensor nodes can be used in a monitoring system for elderly living alone.

• Korean Journal of Computational Design and Engineering
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• v.18 no.6
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• pp.451-460
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• 2013

This paper presents the necessary elements and data flow in developing a monitoring system of energy usage for apartment houses with a Smart TV. Energy consumption data in each home are collected and analyzed in the HUB station by way of measuring instruments. And the amount of energy usage, such as electricity, gas, hot water, heating, water and other utilities are displayed through the Smart TV application. Energy consumption Database in the HUB station are processed and displayed in the browser of a Smart TV through XML, JAVASCRIPT and Flash. Smart TV users can get the energy consumption status through the energy consumption analysis display of the Smart TV application and improve the energy efficiency by comparing the usage patterns with neighboring houses. And the application display energy usage information, consumption ranking, rates to user as well. Furthermore, usage of last month or year can be compared to help to reduce the energy usage. The proposed system can provide the information about the amount of energy use to be reduced and the warning on the waste of energy.

• Journal of the Korean Dietetic Association
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• v.18 no.2
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• pp.115-125
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• 2012

This study was conducted to investigate the effects of food consumption monitoring using a camera-phone in a weight control program. Twenty-six female college students (>30% body fat) were randomly assigned to the camera-phone and diary (CD) group or diary (D) only group. During the 8-week weight control program, the CD group controlled their food consumption using a camera-phone, in which they took a food picture and uploaded it to the homepage. However, the D group used only a diary to record their food intake. The mean energy intake of the CD group during the program was 1451.9 kcal while that of the D group was 1524.3 kcal. The total energy intakes of both groups significantly decreased during the program. The CD group lost 5.2 kg of body weight and 3.1% body fat while the D group lost 2.2 kg of body weight and 1.1% body fat. The body weight and fat levels significantly decreased in the CD group compared to the D group. The triglyceride, total-cholesterol and LDL-cholesterol levels of the CD group as well as the total-cholesterol level of the D group significantly decreased during the program. The total-cholesterol and LDL-cholesterol levels both significantly decreased in the CD group compared to the D group. In this study, it was concluded that digital photography method using a camera-phone might influence weight control through trained consumption monitoring, which helps individuals reduce discrepancies between perceived and actual consumption levels.

• Journal of Software Engineering Society
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• v.26 no.3
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• pp.53-62
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• 2013

Along with increasing supplies of smart devices, a proliferation of context-aware applications is came. However, acquiring contexts through sensors requires considerable energy consumption. It has became big constraints on running many context-aware applications in mobile devices having limited battery capacity. Hence, energy-efficient methods for monitoring contexts are highly required. In this paper, we propose four context monitoring methods, analyse energy consumption in each method, and provide guidelines for applying the methods. It is effective to decrease energy consumption for monitoring contexts with applying the methods. To assess the proposed methods, we implement an application that is aware of a user's motion and show quantitative comparison between each of the methods.

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.366-375
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• 2022

The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

• Journal of Electrical Engineering and Technology
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• v.8 no.3
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• pp.572-580
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• 2013

Power metering and monitoring system is a basic element of Smart Grid technology. This paper proposes a new Non-Intrusive Load Monitoring (NILM) method for a residential buildings sector using the measured total active power consumption. Home electrical appliances are classified by ON/OFF state models, Multi-state models, and Composite models according to their operational characteristics observed by experiments. In order to disaggregate the operation and the power consumption of each model, an algorithm which includes a switching function, a truth table matrix, and a matching process is presented. Typical profiles of each appliances and disaggregation results are shown and classified. To improve the accuracy, a Time Lagging (TL) algorithm and a Permanent-On model (PO) algorithm are additionally proposed. The method is validated as comparing the simulation results to the experimental ones with high accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.7
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• pp.1520-1526
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• 2003

Design and implementation method or the 100[W] DD/AC invertor using PICl6C711 processor is described in this paper. Especially, fuzzy inference algorithm is involved in this system which can be adaptive to the environment variation. Input/output control and power consumption monitoring is controlled based on PIC16C711 processor, which compute the optimal values acquired from inference engine. Such experimental as function, efficiency, motoring are performed and experimental results showed that monitoring error is less than 2% and widely used in the area of industrial fields.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.2
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• pp.99-104
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• 2011

In this paper, the intelligent landscape lighting power control and monitoring system with solar sell generator equipment is proposed. The first, the intelligent landscape lighting power controller is designed using the fuzzy logic control method. And the fuzzy logic controller is used to save power consumption for various reference intensity of the illumination. The second, the GUI monitoring system is presented. It has control and display faculty. And the practical experiment device is used to evaluate the performance criteria of the proposed intelligent landscape lighting power control system with the solar cell power generation equipment. From the experiment results, we present the property of proposed fuzzy controller such as steady state error, the tracking and power consumption characteristic for the reference intensity of illumination. And also we show the superiority of power control as well as the characteristic of GUI monitoring system in the proposed system.