• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.5
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• pp.963-970
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• 2008

Recently, several papers for reading meters remotely using RFID/USN technologies have been presented. In the case of water meter, there has been neither commercial product nor paper. In this paper, we describe the design and implementation of wireless digital water meter with low power consumption. We use magnetic hole sensors to compute the amount of water consumption. The meter of water consumption is transferred via ZigBee wireless protocol to a gateway. Low power consumption design is essential since a battery should last till the life time of water meter. We present that dual batteries haying 3V, 3000mAh, would last 8 years by analyzing the real power consumption of our water meter.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.301-307
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• 2022

Energy consumption has grown alongside dramatic population increases. Statistics show that buildings in particular utilize a significant amount of energy, worldwide. Because of this, building energy prediction is crucial to best optimize utilities' energy plans and also create a predictive model for consumers. To improve energy prediction performance, this paper proposes a ResNet-LSTM model that combines residual networks (ResNets) and long short-term memory (LSTM) for energy consumption prediction. ResNets are utilized to extract complex and rich features, while LSTM has the ability to learn temporal correlation; the dense layer is used as a regression to forecast energy consumption. To make our model more robust, we employed Huber loss during the optimization process. Huber loss obtains high efficiency by handling minor errors quadratically. It also takes the absolute error for large errors to increase robustness. This makes our model less sensitive to outlier data. Our proposed system was trained on historical data to forecast energy consumption for different time series. To evaluate our proposed model, we compared our model's performance with several popular machine learning and deep learning methods such as linear regression, neural networks, decision tree, and convolutional neural networks, etc. The results show that our proposed model predicted energy consumption most accurately.

• Journal of Environmental Science International
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• v.23 no.9
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• pp.1643-1654
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• 2014

The university is one of the main energy consumption facilities and thereby releases a large amount of greenhouse gas (GHG). Accordingly, efforts for reducing energy consumption and GHG have been established in many local as well as international universities. However, it has been limited to energy consumption and GHG, and has not included air pollution (AP). Therefore, we estimated GHG and AP integrated emissions from the energy consumed by Seoul National University of Science and Technology during the years between 2010 and 2012. In addition, the effect of alternative energy use scenario was analysed. We estimated GHG using IPCC guideline and Guidelines for Local Government Greenhouse Inventories, and AP using APEMEP/EEA Emission Inventory Guidebook 2013 and Air Pollutants Calculation Manual. The estimated annual average GHG emission was $11,420tonCO_{2eq}$, of which 27% was direct emissions from fuel combustion sectors, including stationary and mobile source, and the remaining 73% was indirect emissions from purchased electricity and purchased water supply. The estimated annual average AP emission was 7,757 kgAP, of which the total amount was from direct emissions only. The annual GHG emissions from city gas and purchased electricity usage per unit area ($m^2$) of the university buildings were estimated as $15.4kgCO_{2eq}/m^2$ and $42.4tonCO_{2eq}/m^2$ and those per person enrolled in the university were $210kgCO_{2eq}$/capita and $577kgCO_{2eq}$/capita. Alternative energy use scenarios revealed that the use of all alternative energy sources including solar energy, electric car and rain water reuse applicable to the university could reduce as much as 9.4% of the annual GHG and 34% of AP integrated emissions, saving approximately 400 million won per year, corresponding to 14% of the university energy budget.

• Journal of Preventive Medicine and Public Health
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• v.41 no.1
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• pp.23-29
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• 2008

Objectives : We examined the association between alcohol consumption and incidence of colorectal cancer in elderly Koreans. Methods : The cohort members (n=14,304) consisted of 4,834 males and 9,470 females derived from the Korea Elderly Pharmacoepidemiologic Cohort (KEPEC), a population-based dynamic cohort. They were aged 65 years old or older and lived in Busan between 1993-1998; they were beneficiaries of the Korean Medical Insurance Corporation (KMIC). Baseline information was surveyed by a self-administered, mailed questionnaire. This study population was restricted to 14,304 participants who reported alcohol drinking habits on the questionnaire and had not been diagnosed with colorectal cancer at baseline. The adjusted hazard ratios (aHR) of status, type, frequency and daily average amount of alcohol consumption were computed with Cox's proportional hazard model, with the never-drinkers as a reference group and controlling for age and gender. Results : After 4.82 person-years of mean follow-up 112 cases of colorectal cancer occurred. The incidence densities of colorectal cancer were 161 (95% CI=123-200) for never-drinkers, 219 (95% CI=125-339) for ex-drinkers, and 137 (95% CI=84-189) for current-drinkers per 100,000 person-year. The status, type, frequency, and daily average amount of alcohol consumption were not significantly related to the incidence of colorectal cancer after controlling for age and gender. Conclusions : There was no significant association between alcohol consumption and colorectal cancer among elderly people after controlling for age and gender.

• The Korean Journal of Pain
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• v.9 no.1
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• pp.172-177
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• 1996

We performed a study of epidural patient controlled analgesia of meperidine with or without 0.08% bupivacaine for 48 hours after Cesarean section. 51 parturients were randomly assigned to one of two treatment groups : 1) epidural 0.2% meperidine group(n:24) and 2) epidural combined group with 0.2% meperidine and 0.08% bupivacaine(n:27). All parturients used patient controlled analgesia with loading dose, 2 ml/hour continuous infusion, 1 ml bolus infusion and lockout time, 8 minutes. visual analog scales after loading doses were not significantly different in either groups. The total quantity of meperidine consumption and hourly consumption were significantly lower in the combined group than meperidine group(P<0.05). The cumulative amount of meperidine consumption were also significantly lower in the combined group than meperidine group at 6, 12, 24 and 48 hours. In combined group the hourly consumption of meperidien from 3 hours to 12 hours after loading dose was significantly lower than those of meperidine group. Above 90% of parturients were satisfied in both groups. Side effects were: numbness (2), thigh weakness (1), nausea (1), headache (1) and back pain (2) in epidural meperidine group. There were no case needed specific treatment in both groups. We conclude that analgesic effects were similar in both groups, however the amount of meperidine consumption was less for meperiding group than combined group.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.6
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• pp.131-137
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• 2010

Change of the energy used in a house can be separated from LNG, and electric power. The electric power consumption of a house is more increasing than LNG. The interest for electric houses is rising due to energy saving and low carbon emission. Accordingly, the amount of energies and cost are analyzed consumed in a house using cumulative energy consumption. The result of analysis, amount of electric power, is more increase. In comparison, the use volume of city gas is more decrease. In this paper, the use volume of energy resource is analyzed using historical energy consumption data in the past 25 years. In addition, expected electrical power and heating energy is analysed adopting an Electric Residence.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.522-528
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• 2012

Currently, the energy consumption of electric lighting in an office building is accounted for more than 30% of the total energy consumption. In order to reduce the energy consumed by the indoor lighting, the daylight as a natural energy resource can play an important role in energy savings. The daylight can have positive impacts on improvement of work efficiency and productivity, and also make people feel more psychologically stable. Moreover, by using the daylight, we can definitely reduce the energy consumption in office buildings. Thus, the purpose of this study is to determine the LED dimming ratio depending on the ratio by calculating the amount of artificial illumination required according to the change of daylight by using the light simulation software that can quantify and visualize the performance of daylight. As a result, the energy savings could be obtained up to 30%.

• Journal of Nutrition and Health
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• v.32 no.1
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• pp.90-100
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• 1999

In order to investigate dietary risk factors for hypertension in th elderly, dietary intakes and dietary habits of 405 elderly subjects, aged 60-94, were assessed by the questionnaire, anthropometric measurement and a 24-hour dietary recall. The prevalence of definite (>95mmHg for diastolic or>160mmHg for systeolic blood pressue) and borderline(90-95mmHg for diastolic or 140-160mmHg for systolic blood pressure) hypertensive subjects 33.3% and 19.3%, respectively. The distribution of the subjects for Body Mass Index(BMI), waist-hip ratio, and alcohol consumption were significantly different among definite, borderline, and normal groups(p<0.05). The distribution of the subjects for smoking, exercise, and preference of salty food were not significantly different among definite, borderline, and normal groups(p>0.05). From the generalized logistic regression analysis of the risk factors for the hypertension, the subjects with over 27 of BMI had significantly higher risk of hypertension. Alcohol consumption and preference of salty food were significant risk factors of hypertension in the elderly. Dietary risk factors for the hypertension that had significant relationship to the hypertension were intakes of potassium, calcium, phosphate, sodium, vitamin B1, niacin, and folate. There was no significant difference of consumption frequencies of food and dish among definite, borderline, and normal groups(p>0.05). The amount of intakes for cereals and grain product, bean and their products, eggs were significantly different among definite, borderline, and normal groups(p<0.05). In summary, the amount of dietary intakes to hypertension in elderly population. Longitudinal studies for dietary risk factors on incidence of hypertension are needed in general population, especially in the elderly.

• Journal of Korean Home Economics Education Association
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• v.12 no.2
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• pp.107-122
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• 2000

The purposes of this study were to investigate the decision making process & preference for imported products and to suggest the systematic education programs for adolescent consumers. The data for this research were attained from 426 middle & high school students in Pohang. The data were analyzed by frequency distribution. mean standard deviation analysis of variance t-test, χ(sup)2-test and Pearson’s correlation with SAS program. The results of this study were as follows: 1. preference for imported products was significantly different according to sex, amount of pocket money, region. T.V advertising, friends and the attitude of their mothers. 2. Decision making process was composed of 4 dimensions in this study; information sources criteria for products problem experience of consumption and type of problem solving. In case of information sources there was a signifiant difference according to sex. grade level of parents’education. Criteria for products were significantly different according to sex grade. level of father’s education type of father’s job amount of pocket money and how they gained their pocket money. Consumption problem experience & type of problem solving were significantly different according to sex and grade. 3. Preference for imported products was significantly different according to criteria for products and consumption problem experience out of adecision making process.

• Horticultural Science & Technology
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• v.31 no.1
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• pp.103-109
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• 2013

Estimating the high tuber solids needs a simulation system on potato growth, and its development should be obtained by using agricultural elements which analyze the relationship between crop growth and agricultural factors. An accurate simulation to predict solids level against climatic change employs a calculation of in vivo energy consumption and bias for growth and induction shape in a slight environmental adaptation. So, to calculate in vivo energy consumption, this study took a concept of estimate of the amount of basal metabolism in each tuber. In the validation experiments, the results of measuring solid accumulation of potatoes harvested at dates suggested by simulation agreed with the actual measured values in each regional field during the growth period of years from 2006 till 2010. The mean values of tuber solids level and inter-annual level variation in validation experiments were predicted well by the simulation model. And also, the results of validation experiments represent that concentration of tuber solids were due mainly to the duration of sunshine, above 190 hours per a month, and the cumulative amount of radiation, above 2,200 $MJ{\cdot}m^{-2}$, of the effective growth period.