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▮㔝 *1 㸪ᒸ *2 P r o p o s a l o f t h e i n f o r m o t i o n t e c h n o l o g y ( F u s i o n o f t h e b i g d a t a a n d a c t u a t o r s ) Tomoaki YANO *1 , and Masahiro OHKA *2 Recently, almost everything is connected to the cloud network, where a lot of sensors are connected to the network and anybody can get the sensor data at anywhere. The cloud-sensor network is expected to expand the human sense into all over the world. Therefore, the cloud-sensor network research is one of the coolest topics nowadays. However, for controlling everything connected to the internet, the actuators should be connected to the internet to realize motion control of the network (cloud-actuator network), while there is no research about the cloud-actuator network. In this paper, we introduce a concept of “informotion”, which is a coined word of information and motion, and deals with the cloud-actuator system. The outline of the informotion technology is proposed; fundamental technologies required for the informotion technology are described; its advantages and problems are also discussed. Keywords: Informotion, Big Data, Actuator, Network, New Technology ࡌࡣ ㏆ᖺ㸪ࡢࢡ㧗㏿㸪 ฎ⌮㏿ᗘேᕤ▱⬟◊✲ᛴ㏿㐍Ṍ㸪᥋⥆࠶ࡘࡘィ⟬ᶵࡅࡔࡃ࡞ࡣᐙ㟁〇ရࡌࡣ ᥋⥆ IoT (Internet of Things) ࠺࠸ゝⴥࡓࡗ࡞IoT 㸪ሗࡃ࡞᥋⥆ࢹࢢࢫࢭࢡ≧ἣᣦ௨๓᥋⥆༢⊂⏝ ࡓ࠸Ὑ℆ᶵ㸪㸪෭ⶶᗜ㸪࣓㸪ࡢࡑ ࡢࡃࢱࢫᶵჾࢭࡢ᥋⥆ 㸪ㄡୡ⏺୰ࢭࡢࡍࢫࢭࢡ 㸪ே㛫ឤぬᆅ⌫つᶍᣑ㸬ᆅ ࠶ࡢே㛫࠶ࡀࢹࢧ ࢫࢭࢡ≧ἣࡢࡑ࡞࠺≧ἣά⏝᪉ἲ㸪సᡂ㸪ၥ㢟Ⅼ (1) ≧ἣ㸪⣖ᾏ ⏕ࡀ㐍⇿Ⓨᘬࡓࡋࡇே㢮㐍⇿Ⓨゝ (2) ᪉㸪⭾ࡓࢹ࡞ࡢࢱฎ⌮ ᮍ᮶㉳☜ࡢ⋡ṇ☜ண ᪉ἲㄽᛴ㏿☜❧ࡢࡑ⢭ᗘ (3) ᕤ▱⬟ࡀ✲◊ࡢᛴ㏿㐍㸪1 ᖺ๓ ≧ἣ⏕ࡀ⌮ࢬࢹࢢ⌮ᮍ᮶ண▱ᢏ⾡ᩍᖌࡋ࡞Ꮫ⩦ᢏἲ ࡁࡘࡧࡢࢱᑓ㛛ᐙࡗ࡞ (4) ୡ⏺୰▐ࡀ᪂ሗࢫࢭࢡ௨ୗ♧ศ㔝◊✲ᛴ㏿㐍Ṍ(1) ་⒪ศ㔝 iPS ⣽⬊ᐇ⏝ᛴ㏿㐍 ཎ✏ 2015 5 8 * 1 ㏆␥Ꮫ ḟୡ௦ᇶ┙ᢏ⾡◊✲ᡤ ≉௵ᩍᤵ㸦739-2116 ᮾᗈᓥᕷ㧗ᒇ1 ␒㸧 E-mail [email protected] * 2 ᒇᏛ 㐃⤡ඛ㸸▮㔝ᬛ㸦◊✲௦⾲⪅㸧 Ꮫሗ⛉Ꮫ◊✲⛉ ᩍᤵ㸦464-4861 ᒇᕷ༓✀༊⪁⏫㸧 E-mail [email protected] 97 近畿大学次世代基盤技術研究所報告 Vol. 6201597100
Transcript
Page 1: ¡ ³ × î ± b/% >'(1) $ª (5 iPS (ý+ b #Ý ì @ ô3ÿ _4 [ 8 >, Â å N' w Ü 2015 º5 v8 ¥ *1 3Æ$% ± Û a æ ö% /¡%Ê'2 d"I õ M 5>& 739-2116 ¾ È å w9× : u b3 1$ >' E-mail

*1 *2

Proposal of the informotion technology (Fusion of the big data and actuators)

Tomoaki YANO*1, and Masahiro OHKA*2

Recently, almost everything is connected to the cloud network, where a lot of sensors are connected to the network and anybody can get the sensor data at anywhere. The cloud-sensor network is expected to expand the human sense into all over the world. Therefore, the cloud-sensor network research is one of the coolest topics nowadays. However, for controlling everything connected to the internet, the actuators should be connected to the internet to realize motion control of the network (cloud-actuator network), while there is no research about the cloud-actuator network. In this paper, we introduce a concept of “informotion”, which is a coined word of information and motion, and deals with the cloud-actuator system. The outline of the informotion technology is proposed; fundamental technologies required for the informotion technology are described; its advantages and problems are also discussed.

Keywords: Informotion, Big Data, Actuator, Network, New Technology

IoT (Internet of Things)IoT

(1)

(2)

(3)

1

(4)

(1) iPS

2015 5 8

*1 739-2116 1E-mail [email protected]

*2 464-4861E-mail [email protected]

- 97 -

近畿大学次世代基盤技術研究所報告 Vol. 6(2015)97-100

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(5)

(2)

(6) DARPA (7)

(8)

(3)

(4)

3D

3D (9)

(5)

(6)

(10)

(11) (7)

(12) (8)

(9)

IoT

IoT

(Informotion= Information + Motion)

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(13)

(14)

(15)

(16)

(17) (18)

(DL)(19) (BD) (CC)(CPS) (20)

(SN) Google

ROS(an open-source Robot Operating System, Willow Garage Corporation)

ROS

;

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2015 4 -2018 3

(A) 24246032

(1) Dublon G. and Paradiso J. A.,ESP(Extra Sensory Perception) ,(Scientific American ), Vol.44,No.10,

(2014), pp.30-36 (2) Dennet D.C. and Roy D.,

,Scientific American , (2015), pp.92-97

(3) Siegel E. , ,,(2013)

(4) Aynes I , , , (2010)

(5) HP, http://bio-asm.jp/ 2015.5.8

(6) , ImPACT HP,

http://www.jst.go.jp/impact/program05.html,2015 2015.5.8

(7) DARPA ROBOTICS CHALLENGE HP, http://www.theroboticschallenge.org/,2015 2015.5.8

(8) , ImPACT HP, http://www.jst.go.jp/impact/program07.html,2015 2015.5.8

(9) , 3D, , Vol. 5,

(2014),pp.139-143 (10) , , ,

, (2008) (11) M.D.Ventra, and Y.U.Pershin

,(Scientific American ), Vol.45,No.6, (2015), pp.70-75

(12) , ,,No.AC1N2-3,(2010),pp.1-2

(13) , , , Vol.33,No.2, (2014),pp.102-108

(14) Sakai M. and Suzuki Y., Evolution of Chemical Signals in Ecological System Evoked by the Cry-Wolf Plants , Proceedings of Artificial Life

14, (2014),pp. 983-986 (15) Libet B. , ,

, (2005) (16) , , , (2007) (17) , , , ,

, , (2010) (18) , , ,

(2014) (19) Lenz I., Lee H. and Saxena A., Deep Learning

for Detecting Robotic Grasps , J. Robotics Research, (2013), pp.1-17

(20) , (FOT)

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, , Vol.64,No.11, (2012),pp.907-914

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