• Title/Summary/Keyword: Machine-to-machine (M2M)

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Static and Dynamic Characteristics of Magnetically Preloaded Air Bearing Stage for a 3-Axis Micro-Machine Tool (3축 마이크로 공작기계용 자기예압 공기베어링 스테이지의 정, 동적 특성)

  • Ro Seung-Kook;Ehmann Kornel F.;Yoon Hyung-Suk;Park Jong-Kweon
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2005.05a
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    • pp.468-472
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    • 2005
  • In this paper, the static and dynamic stiffness of the air bearing stage for micro-micro machine tool are examined experimentally. For stiffness and precision concerns, air bearing stages are adapted for 3-axis micro-milling machine which is size of $200x200\;mm^2$. The air bearings in the stage are preloaded by permanent magnets to achieve desired bearing clearance and stiffness for vertical direction. As the stiffness of the air bearing is primary interests, static stiffness test were performed on XY stage in Z direction and Z column in Y direction. Dynamic test were performed on XY stage and Z column, respectively. Both static and dynamic tests were performed in different air pressure conditions. The vertical stiffness of XY stage is about 9 N/ pm where Y stiffness of Z column is much smaller as $1\;N/{\mu}m$ because of the large moment generated by Y force on the column.

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A development of the maintenance function for the solar power plant based on IoT (IoT 기반의 태양광 발전소 유지보수 기능의 개발)

  • Nam, Kang-Hyun;Jeong, Moon-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.10
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    • pp.1157-1162
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    • 2015
  • The maintenance function of Solar power plant is configured with Sensor devices, Gateway, and Maintenance Function Platform. In this paper, we designed gateway resource tree and service scenario to fit the Maintenance Function and demonstrated appropriate operation of the maintenance service through intelligent functional modeling.

Machining characteristics of STS 304 by micro-endmill (소경 엔드밀에 의한 STS 304의 가공특성)

  • Kim S.J.;Hahm S.D.;Kim H.C.;Kim K.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1261-1264
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    • 2005
  • Recently, as researches and developments for milli-structure and micro machine are actively progressing, manufacturing technologies and skills for tiny small machine parts are getting more important. So, we have been trying to cut using high revolution air bearing spindle and micro-endmill, and studying for magnitude of cutting force, cutting force wave form and surface roughness. We figured out that in 60,000rpm is so slow that cutting is not perfact. Chatter occured to $2\mu{m}/rev\;at\;80,000rpm\;and\;4.4\mu{m}/rev$ at 100,000rpm. We confirmed that spindle run out increased surface roughness at high revolution.

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Internet of Things: An Overview and its Applications in Aviation (항공 분야에서의 사물인터넷 기술 현황)

  • Hyun, WooSeok
    • Korean journal of aerospace and environmental medicine
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    • v.30 no.3
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    • pp.100-107
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    • 2020
  • Internet of Things (IoT) is a technology that communicates data between devices, which are things, using an embedded sensor connected through network backbone such as the internet. Here, data communication technology, sensor technology, and actuator (interface) technology are fused into IoT and it turns devices into smart things. As a result, vast sized data are being generated and that data is being processed into useful actions that can control the things that are devices to make our lives much fruitful. Nowadays, the IoT, early defined as Machine-to-Machine (M2M) connection, becomes a key technology powered by growing innovation of wireless communication trends in the internet connectivity through mobile networking. This paper gives an overview of Internet of Things and brief information about major technologies and its applications in various fields focusing aviation.

Studies on the Design of Forest Road Network for Mechanized Yarding Operations (II) - Optimal road spacing and density - (기계화(機械化) 집재작업(集材作業)을 위한 노망정비(路網整備)에 관(關)한 연구(硏究)(II) - 적정임도간격(適正林道間隔) 및 임도밀도(林道密度) -)

  • Cha, Du Song;Cho, Koo Hyun
    • Journal of Korean Society of Forest Science
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    • v.83 no.3
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    • pp.299-310
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    • 1994
  • This study was carried out to examine the optimal road spacing and road density to minimize the total harvesting cost(road construction cost plus yarding cost) for mechanized yarding system to roadside by one - and two-stage two-way in Forestry build-up region. Chunchon-kun, Kangwon-do. The estimated road construction costs were ranged from ten million won to sixty million won per km. The results have indicated that cable crane was appropriate for yarding machine by one-stage, two-way, and estimated optimal road spacing was 1,698m~4,192m, averaged 3,087m, and road density was 3.44m/ha~8.44m/ha, and averaged 5. 12m/ha. In hilly terrain, combination of medium yarder and Logging bogie was suited to yarding machine by two-stage, two-way, and calculated optimal road spacing was 1,483m~3,481m, averaged 2,589m, and road density was 4.05m/ha~9.46m/ha, averaged 5.90m/ha. In steep terrain, combination of medium yarder and jinsung winch was suited, and estimated optimal road spacing was 1,693m~3,982m, averaged 2,960m, and road density was 3.68m/ha~8.64m/ha, averaged 5.38m/ha.

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A Study on Predictive Models based on the Machine Learning for Evaluating the Extent of Hazardous Zone of Explosive Gases (기계학습 기반의 가스폭발위험범위 예측모델에 관한 연구)

  • Jung, Yong Jae;Lee, Chang Jun
    • Korean Chemical Engineering Research
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    • v.58 no.2
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    • pp.248-256
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    • 2020
  • In this study, predictive models based on machine learning for evaluating the extent of hazardous zone of explosive gases are developed. They are able to provide important guidelines for installing the explosion proof apparatus. 1,200 research data sets including 12 combustible gases and their extents of hazardous zone are generated to train predictive models. The extent of hazardous zone is set to an output variable and 12 variables affecting an output are set as input variables. Multiple linear regression, principal component regression, and artificial neural network are employed to train predictive models. Mean absolute percentage errors of multiple linear regression, principal component regression, and artificial neural network are 44.2%, 49.3%, and 5.7% and root mean square errors are 1.389m, 1.602m, and 0.203 m respectively. Therefore, it can be concluded that the artificial neural network shows the best performance. This model can be easily used to evaluate the extent of hazardous zone for explosive gases.

Absorbed and effective dose for periapical radiography using portable and wall type dental X-ray machines (이동형 구내방사선촬영기와 벽걸이 구내방사선촬영기로 촬영한 치근단 방사선촬영에서 환자의 흡수선량과 유효선량 평가)

  • Han, Won-Jeong
    • The Journal of Korean Academy of Prosthodontics
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    • v.50 no.3
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    • pp.184-190
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    • 2012
  • Purpose: The purpose of this study was to measure the absorbed dose and to calculate the effective dose for one periapical radiography using the portable and wall type dental X-ray machines. Materials and methods: Thermoluminescent chips were placed at 25 sites throughout the layers of the head and neck of a tissue-equivalent human skull phantom. The man phantom was exposed with the portable and wall type dental X-ray machines. For one periapical radiography taken by portable dental X-ray machine, the exposure setting was 60 kVp, 2 mA and 0.2 seconds, while for one periapical radiography taken by wall type dental X-ray machine, exposure setting was 70 kVp, 8 mA and 0.074 seconds. Absorbed dose measurements were performed and equivalent doses to individual organs were summed using ICRP 103 to calculate effective dose. Results: In the upper anterior periapical radiography using portable dental X-ray machine and in the lower posterior periapical radiography using both machines, the highest absorbed dose was recorded at the mandible body. The effective dose in upper anterior periapical radiography using portable and wall type dental X-ray machines was $4{\mu}Sv$, $2{\mu}Sv$, respectively. In the lower posterior periapical radiography, the effective dose for each portable and wall type dental X-ray machines was $6{\mu}Sv$, $2{\mu}Sv$. Conclusion: It was recommended that the operator use prudently potable dental X-ray machine because that the effective dose in the periapical radiography using wall type dental X-ray machine was lower than that in the periapical radiography using portable dental X-ray machine.

Evaluation of a model coil characteristics for HTS rotating machine using conduction-cooled (전도 냉각을 이용한 고온 초전도 회전기용 모델 코일의 특성 평가)

  • Lee, J.D.;Baik, S.K.;Sohn, M.H.;Lee, E.Y.;Kim, Y.C.;Kwon, Y.K.;Park, M.W.;Yu, I.K.
    • Proceedings of the KIEE Conference
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    • 2006.07b
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    • pp.725-726
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    • 2006
  • In large scale superconducting rotating machine, HTS field coils are constructed with many stacks of single or double pancake coils connected in series. In spite of its higher thermal stability, HTS field coil experiences some quench, which results in some part of burn-out in the field coils. Thus in the view point of the HTS rotating machine field coil design and testing, it was very important to predict the possibility of quench occurrence in the designed field coils. In this paper, a HTS racetrack coil constructed with two single pancake coils and one double pancake coil was tested in LN2 and cooling by GM refrigerator. It is wound using the Bi-2223 tape. The experimental details and results are presented in this paper.

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Support Vector Machine based Ballistic Limit Velocity Measurement for Small Caliber Projectile (SVM 기반 소화기 방호한계속도 측정방법 연구)

  • Kim, Jong-Hwan;Baik, Seungwon;Yoon, Byengjo;Jo, Sungsik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.5
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    • pp.629-637
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    • 2016
  • This paper presents a ballistic limit velocity measurement using the support vector machine that classifies two classes, the partial penetration and the complete penetration, by generating a linear separating hyperplane that equally divides the classes. For the ballistic limit velocity measurement, the previous methods(MIL-STD-662F and NIJ-STD-0101.06) have required a large number of experiments that caused high cost and time. However, the proposed method is not only flexible, requiring 0.85 ~ 4.8 times fewer experiments but also reliable, providing less than 2 % difference in results compared to the previous methods. For its validation, live fire experiments were conducted using various thickness SS400 iron plates as a target and two different types of live bullets such as 5.56 mm M193 and 7.62 mm M80.

An Analysis of the Economic Effects for the IoT Industry (사물인터넷 산업의 경제적 파급효과 분석)

  • Jeong, Woo-Soo;Kim, Sa-Hyuk;Min, Kyoung-Sik
    • Journal of Internet Computing and Services
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    • v.14 no.5
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    • pp.119-128
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    • 2013
  • As ICT technology becomes advanced, the importance of future internet is emphasized and in part of that, M2M (Machine-to Machine communications) is magnified in terms of importance and usage in public and private sector. M2M is emerging as a next generation strategic industry but there is no existing analyzed data or market classification, so it disrupts establishing policies on the M2M industry. As the technology is progressing, the evolution from M2M to IoT (Internet of Things) has started and many countries actively try to find technological trend through market analysis in order to develop new growth engine. Therefore, in order to strengthen competitiveness, we should secure differentiated capabilities in industry and service. This article examines Korea's domestic market and international market trends in IoT and analyses the economic impact of the IoT industry using quantitative methodology and evaluates relations between the IoT industry and other relevant industries. As a result, the effect of IoT industry on production inducement is KRW474.6 billion; the effect on value-added inducement is KRW314.7 billion; and it is measured that 3,628 jobs will be created by the IoT industry.