• Title/Summary/Keyword: SMART-P

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Optimization of VIGA Process Parameters for Power Characteristics of Fe-Si-Al-P Soft Magnetic Alloy using Machine Learning

  • Sung-Min, Kim;Eun-Ji, Cha;Do-Hun, Kwon;Sung-Uk, Hong;Yeon-Joo, Lee;Seok-Jae, Lee;Kee-Ahn, Lee;Hwi-Jun, Kim
    • Journal of Powder Materials
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    • v.29 no.6
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    • pp.459-467
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    • 2022
  • Soft magnetic powder materials are used throughout industries such as motors and power converters. When manufacturing Fe-based soft magnetic composites, the size and shape of the soft magnetic powder and the microstructure in the powder are closely related to the magnetic properties. In this study, Fe-Si-Al-P alloy powders were manufactured using various manufacturing process parameter sets, and the process parameters of the vacuum induction melt gas atomization process were set as melt temperature, atomization gas pressure, and gas flow rate. Process variable data that records are converted into 6 types of data for each powder recovery section. Process variable data that recorded minute changes were converted into 6 types of data and used as input variables. As output variables, a total of 6 types were designated by measuring the particle size, flowability, apparent density, and sphericity of the manufactured powders according to the process variable conditions. The sensitivity of the input and output variables was analyzed through the Pearson correlation coefficient, and a total of 6 powder characteristics were analyzed by artificial neural network model. The prediction results were compared with the results through linear regression analysis and response surface methodology, respectively.

Morphological and Molecular Characterization of the Newly Reported Penicillium pimiteouiense from Field Soil in Korea

  • Mahesh Adhikari;Hyun Seung Kim;Hyun Seung Kim;Ki Young Kim;In Kyu Lee;Eun Jeong Byeon;Ji Min Woo;Hyang Burm Lee;Youn Su Lee
    • The Korean Journal of Mycology
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    • v.50 no.3
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    • pp.205-215
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    • 2022
  • Penicillium pimiteouiense was discovered in South Korea during an investigation of fungal communities in soil collected from the Gyeongsangbuk-do province. In this study, we performed molecular analysis of this fungal isolate using internal transcribed spacer rDNA, β-tubulin, and Calmodulin gene sequences. We also performed morphological analysis using five agar media, potato dextrose, oatmeal, malt extract, czapek yeast extract, and yeast extract sucrose. In this study, the molecular and morphological analyses of P. pimiteouiense with detailed descriptions and figures has been carried out.

Effects of Smart Phone Use on the Gait Parameters When Healthy Young Subjects Negotiated an Obstacle (스마트폰 사용이 정상인의 장애물 보행에 미치는 영향)

  • Kim, Chang-Yong;Jeong, Hye-Won;Kim, Hyeong-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.471-479
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    • 2015
  • This study examined the effects of smart phone use while young adults negotiated an obstacle (2 cm high). Seventy-four young adults (mean age: $23.76{\pm}3.17years$, age range: 20-27 years) participated in the study. They were allocated randomly into two groups; smart phone group and no smart phone group. The smart phone group negotiated an obstacle while simultaneously using a smart phone at a self-paced speed whereas the no smart phone group negotiated an obstacle with no special option. A motion analysis system were used to measure the gait parameters, such as toe clearance, cadence, step length, step width, stride length, and walking velocity in two groups. The toe clearance, and step-width, cadence, and step-length were significantly greater for the smart phone group than the no smart phone group (p<.05) and the walking velocity was significantly lower in the smart phone group (p<.05). On the other hand, there was no significant difference in the stride length between the two groups. This study suggests that smart phone use degrades the obstacle avoidance abilities of healthy young adults, which may increase risk of falls.

Effect of pH on Swelling Property of Hyaluronic Acid Hydrogels for Smart Drug Delivery Systems

  • Kim, Jin-Tae;Lee, Deuk-Yong;Kim, Young-Hun;Lee, In-Kyu;Song, Yo-Seung
    • Journal of Sensor Science and Technology
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    • v.21 no.4
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    • pp.256-262
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    • 2012
  • Hyaluronic acid(HA) hydrogels were synthesized by immersing HA microbeads in phosphate buffered saline solutions having different pH levels to assess the effect of pH on the swelling ratio of HA hydrogels for smart drug delivery systems. No beads were formed when the HA solution(below pH 9) was crosslinked with divinyl sulfone(DVS) because DVS is a basic solution. The variation regarding the size of the microbead was not significant, suggesting that the bead size is not a function of pH(10 ~ 14). However, the pore size of the microbeads decreased with increasing pH from 10 to 14, leading to the surface smoothness and dense network as a result of higher crosslinking. The swelling ratio of hydrogels increased when the pH rose from 2(acidic) to 6(neutral). Afterwards, it decreased with further increasing pH(basic). The lower swelling ratio may be due to the lack of ionization of the carboxyl groups. On the other hand, a higher swelling ratio is likely due to the increased electrostatic repulsions between negatively charged carboxyl groups on different chains. Experimental results suggested that pH-responsive HA hydrogels can be applicable to the controlled drug delivery systems.

Development of a model to analyze the relationship between smart pig-farm environmental data and daily weight increase based on decision tree (의사결정트리를 이용한 돈사 환경데이터와 일당증체 간의 연관성 분석 모델 개발)

  • Han, KangHwi;Lee, Woongsup;Sung, Kil-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2348-2354
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    • 2016
  • In recent days, IoT (Internet of Things) technology has been widely used in the field of agriculture, which enables the collection of environmental data and biometric data into the database. The availability of big data on agriculture results in the increase of the machine learning based analysis. Through the analysis, it is possible to forecast agricultural production and the diseases of livestock, thus helping the efficient decision making in the management of smart farm. Herein, we use the environmental and biometric data of Smart Pig farm to derive the accurate relationship model between the environmental information and the daily weight increase of swine and verify the accuracy of the derived model. To this end, we applied the M5P tree algorithm of machine learning which reveals that the wind speed is the major factor which affects the daily weight increase of swine.

Smart Home Healthcare Device based on Ubiquitous Communication

  • Kim, Keun-Young;Cha, Joo-Hun;Park, Mig-Non
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2235-2239
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    • 2003
  • The aim of this research is to study and develop enabling technologies for home healthcare device with ubiquitous network. The motivation of this paper is to enable healthcare in home, to development the device for smart home health care. To achieve the aim, we must develop the prototype platform based on home gateways, distributed context user interface based on UPnP and support for information sharing with high speed power line communication and mobile infra-structures. And IPv6 is the base technology of this platform. In this paper, we concern that physical health, mental health and medical emergencies is all of home healthcare. With the smart device, we evaluate the connectivity, automatic information extraction and private data exchange and event driven message. The result of this paper is demonstration of smart device for ubiquitous communication in a healthcare application such as patient monitoring device and several information services. In conclusion, home healthcare will support more healthy and easy living for a human.

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WiSeMote: a novel high fidelity wireless sensor network for structural health monitoring

  • Hoover, Davis P.;Bilbao, Argenis;Rice, Jennifer A.
    • Smart Structures and Systems
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    • v.10 no.3
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    • pp.271-298
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    • 2012
  • Researchers have made significant progress in recent years towards realizing effective structural health monitoring (SHM) utilizing wireless smart sensor networks (WSSNs). These efforts have focused on improving the performance and robustness of such networks to achieve high quality data acquisition and distributed, in-network processing. One of the primary challenges still facing the use of smart sensors for long-term monitoring deployments is their limited power resources. Periodically accessing the sensor nodes to change batteries is not feasible or economical in many deployment cases. While energy harvesting techniques show promise for prolonging unattended network life, low power design and operation are still critically important. This research presents the WiSeMote: a new, fully integrated ultra-low power wireless smart sensor node and a flexible base station, both designed for long-term SHM deployments. The power consumption of the sensor nodes and base station has been minimized through careful hardware selection and the implementation of power-aware network software, without sacrificing flexibility and functionality.

A Study on the Design of Hybrid Cryptosystem for Smart Card (스마트카드에 적합한 혼합형 암호시스템 설계에 관한 연구)

  • Song, Je-Ho;Bang, Jun-Ho;Lee, Woo-Choun
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.52 no.4
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    • pp.141-147
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    • 2003
  • Security of the electronic commercial transaction especially through the mobile communication network is gaining its significance due to rapid development of information and communication related fields. For that, some kind of cryptographic algorithm is already in use for the smart card. However, the growing needs of handling multimedia and real time communication bring the smart card into more stringent use of its resources. Therefore, we proposed a hybrid cryptosystem of the smart card to facilitate multimedia communication and real time communication.