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1 1 1 2 1 2 An evolutional optimization algorithm to provide individual illuminance in workplaces Mitsunori MIKI 1 Shingo TANAKA 1 Tomoyuki HIROYASU 1 Satoshi IKEDA 2 1 Doshisha University, 2 Hitachi, Ltd Abstract: We develop a new lighting system called the intelligent lighting system. This system can provide necessary illuminances to desired locations and save energy. In this research, we propose Adaptive Neighborhood Algorithm using Regression Coefficient (ANA/RC) for a control method of the intelligent lighting system. This algorithm can grasp the position relation between the lighting and the illuminance sensors using regression analysis. We confirmed the validity of the algorithm in an experiment. 1. [1][2] (Adaptive Neighborhood Algorithm using Regression Coefficient ANA/RC) (Stochastic Hill Climbing SHC) 2. Fig.1 Fig. 1 Configuration of Intelligent Lighting System 3. (ANA/RC) 3.1 ANA/RC ANA/RC 1. 2.

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Page 1: Shingo TANAKA Tomoyuki HIROYASU - mis.doshisha.ac.jp · #%$'&)(1 *,+.-)/ 1 0%132%4 1 56*87 2 1 9,:);%3?A@%B%C)D An evolutional optimization algorithm to provide individual

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1 9,:);%<%= 2 >3?A@%B%C)DAn evolutional optimization algorithm to provide individual illuminance in workplaces

Mitsunori MIKI1 Shingo TANAKA1 Tomoyuki HIROYASU1 Satoshi IKEDA2

1Doshisha University, 2Hitachi, Ltd

Abstract: We develop a new lighting system called the intelligent lighting system. This system can

provide necessary illuminances to desired locations and save energy. In this research, we propose Adaptive

Neighborhood Algorithm using Regression Coefficient (ANA/RC) for a control method of the intelligent

lighting system. This algorithm can grasp the position relation between the lighting and the illuminance

sensors using regression analysis. We confirmed the validity of the algorithm in an experiment.

1. E6FHG%IJHKMLONQPHRTSHUQVTWQXAYHZH[M\H]QXH^A_Q`QabZ)cHdeLfhghiMj,Xlk,mhXAnQoMplqhr,sAtvuAwhxMy,zh{T|vXM}lW~l� oM�A�hfMgv�A�%ahdbxhy,zM{M�lw,�AWvXA�htMqMrv��v� LM�h�M�h�Mfhg,`l�M�h�vzM�vcbWhYMZh[M\h]vsM^l_��z��Qc�s��H����w�xHy�z

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(Adaptive Neighborhood Algorithm

using Regression Coefficient Ë ANA/RC)`T�HÌH�QzH{;QÆ

ÇÎÈÎÉÏÊθh�ÑÐÓÒÓZvÔÑÕ �ÏÖ(Stochastic Hill Climbing Ë

SHC)`T×�­HS�cHdex�Ø � LÑ«H�Q§�sT�H��` ��ÙHÚ ¸H�TÛ

Ü���Ý�zO��c�W�L��O�������OÞ���z�´Oß�à�á¯`�â�ã�d³L�äåMæhç `AèhéMÜM�vzM{v�H�l�A¾vÆAÇ,ÈvÉbÊ,¸lW,�lLM�M�ÛMÜhê%cb�h�MÛMÜhê,`Aëv�M¿AÀhìMí,`l�MyMxh�M�Mî ÙAï�AðvñA�M�v§MXAòhóM�,`lôMõM�vzM�,c¹WMöMÒhZ,pA÷hø,`t%¼½{ù¾MúMWQ�ALO�MÌQÆTÇ,ÈQÉbÊQ¸MXTûHü,�TýMyHxHþMÿHL|,X��MöM]MØ ��� �����MU,VM�����)dbk���,`�M� {

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Fig. 1 Configuration of Intelligent Lighting System

3. fDg�h`i jDk l`m�n`o �Dp`q rDs tvu�w`�(ANA/RC)

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Page 2: Shingo TANAKA Tomoyuki HIROYASU - mis.doshisha.ac.jp · #%$'&)(1 *,+.-)/ 1 0%132%4 1 56*87 2 1 9,:);%3?A@%B%C)D An evolutional optimization algorithm to provide individual

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[2] Y�Z\[�] L Y�^ a�_hL�` aQb�� :�lS � �,§hXl�

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