Big Data based Analysis of PM 10 and PM 2.5 in Seoul (South Korea)

Title : Big Data based Analysis of PM 10 and PM 2.5 in Seoul (South Korea)
Published in : The 9th International Conference on Internet (ICONI 2017)
Author : Thanongsak Xayasouk , Hee-Woo Park, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Landmark Mekong Riverside Hotel, Vientiane, Laos

Abstract
Fine dust is very harmful to peoples’ health assuming that we know the information about the concentration of fine dust (PM10, PM2.5) which dangerous for people, it was able to prevent harmful of fine dust immediately. In this paper, we present big data-based analysis of PM10 and PM2.5 in Seoul, South Korea. The results are shown concentration of PM10 and PM2.5 on each day of each month, highest and lowest number of PM10 and PM2.5 bad and dangerous days in each month, the highest and lowest number of PM10 and PM2.5 (bad and dangerous days) in each season, and the highest value of PM10 and PM2.5 which harmful to human health.

Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF-2017R1A2B4010570) and the Ministry of Science and ICT, Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-2015-0-00403) supervised by the IITP(Institute for Information & communications Technology Promotion).

A Study on Statistical Map of Air Pollution in Korea using R

Title : A Study on Statistical Map of Air Pollution in Korea using R
Published in : The 4th International Conference on Computer Applications and Information Processing Technology (CAIPT 2017)
Author : JungYeon Seo, HwaMin Lee
Corresponding author : HwaMin Lee
Location : APITKOM East Java, Bail, Indonesia
DOI : https://doi.org/10.1109/CAIPT.2017.8320675

Abstract
Due to the development of the IoT era, the evolution of smart devices, and the proliferation of SNS, the amount of data generated is increasing. The vast amount of data generated by this is called big data. Analysis of big data is an important key to read current social trends. By finding out social issues , companies and countries can prepare to solve problems first. Statistical software should be used to analyze big data. In this paper, we use R to provide users with statistical information on air pollution, which is currently the most problematic in Korea.

Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF-2017R1A2B4010570).

Classification of Premature Ventricular Contraction

Title : Classification of Premature Ventricular Contraction
Published in : KSII The 12th Asia Pacific International Conference on Information Science and Technology(APIC-IST 2017)
Author : Eunkwang Jeon, Bong-Keun Jung, Yunyoung Nam, HwaMin Lee
Corresponding author : HwaMin Lee
Location : RatiLanna Riverside Spa Resort, ChiangMai, Thailand

Abstract
Arrhythmia has recently emerged as one of the major causes of death in Koreans. Premature Ventricular Contraction (PVC) is the most common arrhythmia that can be found in clinical practice, and it may be a precursor to dangerous arrhythmia, such as paroxysmal insomnia, ventricular fibrillation, and coronary artery disease. Therefore, we need for a method that can detect abnormal heart beat and diagnose arrhythmia early. We extracted the features corresponding to the QRS pattern from the subject’s ECG signal and classify the ventricular premature contraction waveform using the features. Based on the error backpropagation algorithm, weights and biases were updated through learning data learning to determine weights and weights that can classify premature ventricular contractions. The final weight and bias values were used to classify normal and premature venticular contraction waveforms in ECG waveforms.

Acknowledgments
This research was financially supported by the “ICT Convergence Smart Rehabilitation Industrial Education Program” through the Ministry of Trade, Industry & Energy (MOTIE) and Korea Institute for Advancement of Technology (KIAT) and the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-2014-0-00720) supervised by the IITP(Institute for Information & communications Technology Promotion).

VM Relocation Method for Increase the Resource Utilization in Cloud Computing

Title : VM Relocation Method for Increase the Resource Utilization in Cloud Computing
Published in : The 11th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2016)
Authors : Sangwook Han, MinSoo Chae, Hwamin Lee
Corresponding author : HwaMin Lee
Location : EASTIN GRAND HOTEL SATHORN, Bangkok, Thailand

Abstract
Virtual machines are enabled to many of physical server can be integrated into fewer physical server. Integration of the server using virtual server technology induces the efficient use of resources to bring the cost benefits. Power consumption of the data center has been increased by 45% or more every year. More than 60% of the maximum power consumption is wasted on the physical server idle state, one way to reduce energy consumption is to minimize the number of physical servers. In this paper, VM usage time (running time) applied to 0-1 Knapsack algorithm. This method is the VM arrangement technology that can minimize the use of energy.

Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support programs (IITP-2016-R0992-16-1006 & IITP-2016-H8601-16-1009) supervised by the IITP(Institute for Information & communications Technology Promotion).

Performance Comparison of Docker and KVM

Title : Performance Comparison of Docker and KVM
Published in : The International Conference on Future Information Technology, applications and services (IFIT 2016 Seoul)
Authors : MinSoo Chae, Kiyeol Lee, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Dongguk University, Seoul, Korea

Abstract
Hypervisor means technique that several virtual machines which have independent CPU, Memory and Network, OS share the mechanic server resource. Docker is the application level virtualization software and can help managing computer environment independent on OS using Linux container system. In this paper, we analyze the performance of the VM hypervisor (KVM) and Linux Container (Docker).

Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8601-16-1009) supervised by the IITP (Institute for Information & communications Technology Promotion).

Numerical Analysis of Crack Width in Structural Concrete Members

Title : Numerical Analysis of Crack Width in Structural Concrete Members
Published in : The International Conference on Future Information Technology, applications and services (IFIT 2016 Seoul)
Authors : Kiyeol Lee, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Dongguk University, Seoul, Korea

Abstract
This research presents a numerical analysis model for crack width calculation in structural concrete members. The model is mathematically derived from the actual bond stress-slip relationships between the steel and the surrounding concrete, and the relationships specified in CEB-FIP Model Code 1990 and Eurocode 2 are employed in this research together with the numerical analysis results of a linear slip distribution along the interface at the stabilized cracking stage. With these, the actual strain of the steel and concrete are integrated respectively along the embedment length between the adjacent cracks so as to obtain the difference in the axial elongation. The model is applied to the test results available in literatures, and the predicted values are shown to be in good agreement with the experimentally measured data.

Acknowledgments
Following are results of a study on the “Leades INdustry university Cooperation” Project, supported by the Ministry of Education, Science & Technology (MEST).

Deflection Calculation Program for Structural Concrete Members

Title : Deflection Calculation Program for Structural Concrete Members
Published in : The International Conference on Future Information Technology, applications and services (IFIT 2016 Seoul)
Authors : Kiyeol Lee, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Dongguk University, Seoul, Korea

Abstract
Serviceability verification of structural concrete members predicts the deflection control satisfies requirements at the service load stage. The correct calculation of tension steel stress is important for serviceability performance verification. In this paper, we define the material properties of concrete by a parabolic-rectangular stress-strain relations and proposed an algorithms that calculate the tension steel stress accurately using a trial-anderror method. We developed a program that automatically calculates the deflection for serviceability performance verification by a structural design code provisions such as the CEB-FIP Model Code 1990, Eurocode 2, JSCE PBD, and ACI 318-1995. And also, calculation program were tested to verify the accuracy of the results using experimental data.

Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R0992-16-1006) supervised by the IITP (Institute for Information & communications Technology Promotion).

Smart Steering Wheel Cover for Vehicle Using the OBD Data Analysis

Title : Smart Steering Wheel Cover for Vehicle Using the OBD Data Analysis
Published in : The 2016 World Congress on Information Technology Applications and Services (World IT Congress 2016)
Author : SANGWOOK HAN, EUNKWANG JEON, JUNGYEON SEO, MIN HONG, HWAMIN LEE
Corresponding author : HWAMIN LEE
Location : RAMADA BY WHNDHAM JEJU THE HAMDEOK HOTEL, Jeju, Korea

Abstract
Many products already exist which can transmit some information using OBD through network communication. However, OBD products released in the market only for providing the information regarding driving and vehicle diagnostic services. In this paper, we developed a method which provides the alarm service to the drivers when their driving behaviors are not in the good condition. This proposed method sends those information using vibration motor or multiple LED on the basis of the data they received from the vehicles. It can be divided into two part: transmission part which collects vehicle data received from OBD and receiver part which informs drivers of their driving habits using vehicle data. The result of drivers’ driving habit can be installed on vehicle’s steering wheel, so that drivers’ bad driving habits can be improved. In addition, IoT product can preventpossible car accidents and can reduce the vehicle breakdown rate. Moreover IoT products can impact on a better gas millage.

Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-R0992-15-1006) supervised by the IITP(Institute for Information & communications Technology Promotion).

IoT Based Smart White Cane for the Blind

Title : IoT Based Smart White Cane for the Blind
Published in : The 10th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2015)
Authors : HwaMin Lee, SangWok Han, EunKwang Jeon, JuYoung Kim, SunA Baek, Min-Hyung Choi
Corresponding author : Min-Hyung Choi
Location : Crimson Resort and Spa Mactan, Cebu, Philippines

Abstract
Visually impaired persons need walking assistance way like white cane and a guide dog. Internet of Things is applied in various fields. Thus we designed smart white cane that helps the blind to detect and notify dangerous obstacles using Internet of Things technique. We implemented smart white cane using Arduino Leonardo, ultrasonic sensor, illuminance sensor, vibration motor, GPS, and Bluetooth.

Acknowledgments
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the C-ITRC(Convergence Information Technology Research Center) (IITP-2015-H8601-15-1009) and the ITRC(Information Technology Research Center) support program (IITP-2015-R0992-15-1006) supervised by the IITP(Institute for Information & communications Technology Promotion).