From: "Salvo pelo Windows Internet Explorer 8" Subject: =?Windows-1252?Q?C=E1lculo_R=E1dio_Enlace_INFINIUM_AUTOMA=C7=C3O?= Date: Fri, 21 Jan 2011 11:44:28 -0200 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01CBB960.8FBE6650" X-MimeOLE: Produced By Microsoft MimeOLE V6.1.7600.16543 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01CBB960.8FBE6650 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.infiniumautomacao.com.br/sgr/arquivos/calculo_de_enlace_infinium.htm C=E1lculo R=E1dio Enlace INFINIUM = AUTOMA=C7=C3O

Teoria  de R=E1dio e c=E1lculo de enlace = para =20 sistemas de Telecomando e Telemetria


=20

  Energia

A  energia =E9 expressa em Watts = ou nas =20 unidades relativas a Decibel comparadas com milliwatts = (dBm).

Convers=E3o de Watts (W) em decib=E9is = "milliwatts"=20 (dBm) :

dBm: W" type=3Dbutton name=3DdBmw> Watts:

(dBm=3D 10*log10(P/ = 1mW))


Perdas em um cabo coaxial em = 900MHz

Os valores de perdas para cabos coaxiais = mais comuns=20 s=E3o:

Tipo de Cabo:

Comprimento (metros): dB" = type=3Dbutton name=3Dmdb> Perdas em dB (valor negativo !):


Antenas


Energia irradiada

A energia irradiada por uma antena pode = ser=20 facilmente calculada em dBm

Energia irradiada (dBm) =3D Energia do = transmissor=20 (dBm) - perdas no cabo (dB) + ganho da antena (dBi)


Perdas no espa=E7o livre em 915MHz =

S=E3o as perdas de energia no percurso = uma esta=E7=E3o ate=20 a outra, sem obst=E1culos, para o calculo foi usado uma freq=FC=EAncia=20 intermedi=E1ria.

Corresponde em perdas no espa=E7o livre em dB e distancia em = kilometros=20 (Km)

Perdas em dB (valor negativo): =   kilometros:

(F=F3rmula Friis)

  • Para outra  freq=FC=EAncia usar: = 32.6 + 20.log(F=20 [Mhz]) + 20.log(D [km])

    Sensibilidade do = Receptor

    Os receptores necessitam de um m=EDnimo = de energia=20 recebida para que o sinal seja compreendido e excite as etapas = posteriores do=20 mesmo. Se a energia =E9 muito baixa a performance do mesmo ficar=E1 = comprometida.=20 Abaixo temos alguns exemplos de sensibilidade dos receptores empregados = nos=20 equipamentos Infinium:

     


    Rela=E7=E3o Sinal = Ru=EDdo

    A Sensibilidade do receptor n=E3o =E9 o = =FAnico par=E2metro=20 para analise do mesmo, tamb=E9m temos que considerar como anda a = rela=E7=E3o sinal=20 ru=EDdo. Isto =E9, a diferen=E7a de energia m=EDnima a alcan=E7ar entre = o sinal recebido=20 desejado e o ru=EDdo (ru=EDdo industrial, m=E1quinas indutivas, = interfer=EAncias, dentre=20 outros), tamb=E9m =E9 conhecida como S/N (Signal/Noise). =C9 = definido=20 como:

    Propor=E7=E3o Sinal/Ru=EDdo [dB] =3D 10 * = Log10 (Potencia do=20 Sinal [W] / Potencia do Ru=EDdo [W])

    Se o sinal =E9 mais poderoso que o = ru=EDdo, a propor=E7=E3o=20 sinal/ru=EDdo ser=E1 positiva. Se o sinal se ocultar em meio ao ru=EDdo = a propor=E7=E3o=20 ser=E1 negativa. Para poder trabalha em uma certa propor=E7=E3o de dados = em um=20 sistema, necessita-se uma m=EDnima propor=E7=E3o = Sinal/Ru=EDdo.

    Se o n=EDvel de ru=EDdo =E9 muito baixo, = ent=E3o, o sistema=20 estar=E1 mais limitado pela sensibilidade do receptor do que pela = rela=E7=E3o=20 Sinal/Ru=EDdo. Se o n=EDvel de ru=EDdo =E9 alto, ent=E3o, a = propor=E7=E3o sinal/ru=EDdo que=20 contar=E1 para alcan=E7ar uma propor=E7=E3o de dados. Se o n=EDvel de = ru=EDdo for alto,=20 necessitamos de mais energia recebida.


    Calculo de Enlace ( Link Budget = )

    Link budget =E9 um calculo de toda a = cadeia de=20 transmiss=E3o, incluindo o calculo para a perda de transmiss=E3o no = espa=E7o=20 livre:

    A condi=E7=E3o de funcionamento do link = precisa ser:=20 Total Transmissor + Total Propaga=E7=E3o + Total Receptor, deve ser = maior que=20 0.

    Aten=E7=E3o: Estas regras s=E3o = te=F3ricas. Representa o=20 m=E1ximo alcan=E7=E1vel para um sistema. Na pr=E1tica teremos = interfer=EAncias (outros=20 transmissores), ru=EDdo industrial (ru=EDdos eletromagn=E9ticos), perdas = atmosf=E9ricas=20 (unidade do ar, dispers=E3o, refra=E7=E3o), antena mal orientada, = reflex=F5es,... que=20 afetaram performances. Por tanto =E9 necess=E1rio ter uma margem de = seguran=E7a (6 dB=20 ou mais para distancias grandes).

      Energia de Sa=EDda=20 do Transmissor : dBm
    Transmissor Perdas no Cabo=20 (valor negativo) : dB
      Ganho da Antena :=20 dBi
    Propaga=E7=E3o Perdas o espa=E7o=20 livre (valor negativo) : dB
      Ganho da Antena :=20 dBi
    Recep=E7=E3o Perdas no cabo=20 (valor negativo): dB
      Sensibilidade do=20 Receptor (valor negativo) : dBm
    Total Margem restante: = dB
    Coment=E1rios  
    Limite legal  

     


    Propaga=E7=E3o: Elips=F3ide = Fresnel

    Uma explica=E7=E3o r=E1pida e simples da = propaga=E7=E3o de=20 r=E1dio elips=F3ide Fresnel =E9 fazer uma analogia com um "tubo" virtual = aonde a=20 maioria da energia viaja entre o transmissor e o receptor. Para evitar = perdas=20 n=E3o dever=E1 haver obst=E1culos dentro desta zona (regi=E3o proibida) = pois um=20 obst=E1culo alterar=E1 "o fluxo de energia".

    Por exemplo, se a metade da zona proibida = est=E1=20 escondida, haver=E1 uma perda de energia de 6 dB (perda de potencia de = 75 %).=20

    Distancia "D" entre transmissor e = receptor=20 [metros] :

    Distancia "d" entre transmissor e = obst=E1culo=20 [metros] : =

    Raio "R" de zona proibida na = distancia [metros]=20 :

    (O raio de regi=E3o proibida aqui =E9 0.6 = x Raio da=20 primeira elips=F3ide Fresnel)


    Propaga=E7=E3o = Difra=E7=E3o

    Quando um obst=E1culo est=E1 localizado = entre o=20 transmissor e receptor =E9 assinalando um pouco de energia, atrav=E9s = gra=E7as ao=20 fen=F4meno de difra=E7=E3o na aresta superior do obst=E1culo. Quanto = maior a freq=FC=EAncia=20 de transmiss=E3o maior a perda:

    =

     

    Altura "h" entre topo da antena e = topo do=20 obst=E1culo [metros] :

    Distancia "D1" entre transmisor e = obst=E1culo=20 [metros] :

    Distancia "D2" entre receptor e = obst=E1culo=20 [metros] :

    Perda da energia em 915MHz [dB] : =

     

    • Estes c=E1lculos s=E3o v=E1lidas no caso da D1 e D2 maiores do que = h.=20
    • Esta perda =E9 adicionada =E0 perda de propaga=E7=E3o de espa=E7o = livre.=20
    • A perda =E9 o mesmo de uma transmiss=E3o no sentido oposto = (substitu=EDdo pelo=20 transmissor receptor e vice-versa).=20
    • Refer=EAncia: S. Saunders: Antena e propaga=E7=E3o de sistemas = de comunica=E7=E3o=20 sem fio

    .


    Documenta=E7=E3o de Referencia

     

     

  • ------=_NextPart_000_0000_01CBB960.8FBE6650 Content-Type: image/png Content-Transfer-Encoding: base64 Content-Location: http://www.infiniumautomacao.com.br/sgr/arquivos/Logo%20infinium10.PNG iVBORw0KGgoAAAANSUhEUgAAA9UAAABgCAIAAACcx8YTAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAATOdJREFU eF7tnQdcFEn2x3XNaQ3rmrOimBAUxUQShiHnnHOUnJWsiIpEBQXMOaGoqItZMWddAxjWiG66u/+F 3bvb29v7v7HGmqanBxokyttPf/aDPVWvqn5d0/Pt169etQ+PWXy/4mk7/A8VQAVQAVQAFUAFUAFU ABVABRpZAQV5uXY6ZjadYw59sfIOHqgAKoAKoAKoACqACqACqAAq0HgKAHUDe4v4+4uVt9utfo4H KoAKoAKoACqACqACqAAqgAo0ngJA3cjf+NSBCqACqAAqgAqgAqgAKoAKNJECyN9NJHTjPUKhZVQA FUAFUAFUABVABVCBVqQA8jfyNyqACqACqAAqgAqgAqgAKtB0CiB/N53WreixDLuKCqACqAAqgAqg AqgAKtBICiB/I3+jAqgAKoAKoAKoACqACqACTacA8nfTad1Ij1BoFhVABVABVAAVQAVQAVSgFSmA /I38jQqgAqgAKoAKoAKoACqACjSdAsjfTad1K3osw66iAqgAKoAKoAKoACqACjSSAsjfyN+oACqA CqACqAAqgAqgAqhA0ymA/N10WjfSIxSaRQVQAVQAFUAFUAFUABVoRQogfyN/owKoACqACqACqAAq gAqgAk2nAPJ302ndih7LsKuoACqACqACqAAqgAqgAo2kAPI38jcqgAqgAqgAKoAKoAKoACrQdAog fzed1o30CIVmUQFUABVABVABVAAVQAVakQLI38jfqAAqgAqgAqhAG1WgY8r5nh6Z3YK3tiJwwa6i Ap+BAsjfbfSe+xnMXRwCKoAKtCgFOiWe6ph0hh7tciobo3vMJuDv9un3GqOVz9LmF8tvTDD1mq4u UFQXjhNYdYk+2CX2iHNkYk5W5nB9t6Ybck4l6yJCx5qs9U6Lj1ebpbnPmq7phBPMpttnPuLTdPtV 96vJlXKeT61ay3RYdpVptikvQa19ayMFkL+Rv5tIga+KXkzd+WbW3reqxVVqXAecp9+60VtecZbh PDl5x2v21zW7okPq5Q5LLzXzkXq5Xe6zcVvrMBb57aKxwA23XdZjPBpSgcZhwTbyO8FzmEp6VvZe /uSYra3fLosXXvA0TouNN3CirWgaW3ZeVFpXC222vLK56+PHFf/73//++9///vjjj4vj4yOiYy6V l8ekZXZbuLHpZMl6NH2BHr2IJraOPXzymqz1KaratGkFdZ12uU+brOlJmoa06TlCYyBgPk13Sjih ZmhOKtq6+4w18+FTq9Yyvd1WmDu4ELPGNnAJ8mutggUaVgHk7yaiT9Zl65j3fMjGl3U6+hW9aNhr 3zTWzEqrSh68u/b07TdX72499E3hzuI1G7et2bBF+jhb8ZZ2yev0D8WlxzmLsU5u338w/RKbv+FR XnmBgqmdXPMeCqqK7XKehJ59t/fQUT5j2XXgcFK5SIQJ81TmCeTxaCgFZmhO7RyLlNa497ouUQdC Y+OB7ch/R46UDnFd0hg3mSlGzm9evyat+IVF4ZXlKXJv9/TNO3aVfXM8alHctm3bfv31F/GVOnZc IXAVTyMNUyzr0XyhEZ0qGzZs6OG9pmEsr659ks/QENCmZy0QNiV/K2kbUdmN7Zz587eLXxDp8+NH j+QtGoa/+7qvLN63l5gtKCxC/m6yGUgbQv6u/evaGFcFnMEXH786cv4Kz6Ps8k3P0z80Rk8az6bK juflj14sTc9UVpw6csjAmo/xY0aef/SKyd8RocG11oIClqbGqy5KKhILX6y4qWs2/n+/tGveQ2WB vIi/z1QF+HjxGYuzvW3yBdGzxHSNqb//rZk737zSNWzrfsEjkdIa75tOLE80966sEPlWyX+///77 dA1hYzSK/F0/VeU0TeJTUjWdF3aJLunrtnKihuEMdYGShnC0ayJPEKxfuxy1kL//9z/k7wabTjwe ulpmW8jfzcbfZVdu82EyUgZgFFzCLXMOSfeqx7rvXPfdK9q2S27UcJ5jRP4GoZC/Gxa7qTXk78a+ dUAQ9gJjCwrf5I+IuKQukfsbvGnk7/pJ2jV8T9eQ7XBUq96E0ReSdpG/68jfNi6e8OICjsJ1+ej/ rt/8b4G1kL+RvxtegcIbb13cPXiSNymG/I383UjwDWaRvxv7t6e/56rtO3ex+Pvpk8qJZl4N3nSd +TvrMQSkidZUtDA/WfvMh/ADXM9e5T6DuqI1c/UKsoem4dVcfZt+Cu1+seJW/S00JX/DMLOrrQNu 3PiTnEqRtjJmWv3iT2AV0wDHxEHOSaLDKbFnwPqaL5yoAzxmBcaf1HP+N9xtBPm74emTz0WF+JPP 1f+tV/Jm5ep1dYJv5G8iF/q/GwnBkb/53JQ+pYySluG//vlPFn/DP8EpLp2fpMOS8hE24WPsIsjx tWuqdNNfBhTSAiNtIzrFl3WJKiZnpgvNaPx3QHjUGDM/ODnYKhzWOjPtdEw+PzwoX1FTb57QUGhh p2ZgpqSuI2fm08s5Tbo5yEQxxErSpYHOyVCmZ+D6yfr2imoCSBiioKE3ztCtY+Lp6k2cG+IYr6Rr KcoooiGU17Hs7ZFRs4wdllz8KqhoqsAUKHC+rvFsHcPpAuPRpr6wABGCQIZbS/rQzyuT01SPhRsm GTopa+homVoLzO1mCgwVdK2GWYV2jj1ca9NfB69X+Nj0rAW6StrGI4PXgbAdk8+NsBFfDhCzjx/3 Urw+fnkKBvYqC4Q6FnbaZjYzFwinGDr2dU2r81OEbP7u47OGXneYJB1TLnQPWD/Wwl9JYCISWVNP 3tClc9zxWudqT69cOSM3JQ1dGOZMLb3J87XHG7v3s4qCipz83dtvLW13tG1E55hDrCZgGg9lXJ0B zimsAj0XlyoYOsxcoAcLK6eqag+zDKEFuodsJcZnaRvQ+G8ze5cxVsFwcoBLasfksyMZ+ncL3dkh 7Vqf6L2Tda3HqRl0ij9R7er4cqxVhXnVJ7BosrYpxBTN+zCvIMXNWDPRvPpi5Z1hjJ73dxPPf+Tv WmdRYxdA/kb+bmAFrjx7N3rYYORvQEmM/24knq6rWeTvRv0hgdh6WAdJ4dvYUP+PP/4g/9y+c2d/ LzaSAsXauHldvXIZjtLDhxQFJtLdG2sTtr5gHSnjHxzWJWIvkERKcjI587e//Y3Yf/jgATkDPMo0 Mias0NTFe/PGDb/99hvtGPQKlq9lbdkjr2HAbjG7Yq6OATEFb/mVFugr+y9bnpX7/t07Uh3sfPf8 uYdfwBRjF5Kp7cvA9bqOXmUnTv75z38i8e4///xTwZbtkF5DltoDg4sEtm75+fl//etfaa9++eUX GEXYyvwhkVtN7F1IH/bu3jXVyJFlp1tU8UxTpxVZOfTxgxj5059+vnLlqt3CqCGLZUb7DA0t0rN3 WyvVNEjkELJ4kFW4o5cfaXrLpo3yFn6spvsGrJujb15QtJ4KQpp++/bNtj37ZxtY9YjcU4c5Jpu/ 4YXJ9i2bSU9s3b2Hhq4PW5b14Nv7//jHP8hVePniRWBo+BRda8gKIqvFGSZOGWs3wPX6z3/+Q3V+ 9uzpoRNnlIWmMFX++n//R87T9ZcTLP1BCtLuosVx3f2L2Py96r6GoRkp8M2xo0pakikEz5OKYauD ImPeVVXR5s5fvjrH0p10crBzUm52Jqn773//m5S5fesW/PPokcOK2sadFx9z9vYnBTLTV/Z3Wz7f 1H7p0qWQo2aOQB8SJtq5+5BPt26Gq8Nef9k/sEjLxm1NXh5zXsGEhHkVk7F2pLa1tqkVqX645OA0 oTkZGvJ3HWZsw/m8mY0ifzcwffK8op+r/9vgyPvlawrrCt/o/0b/d12Ruk7lkb953pfqVwzYBQiJ UEXF48fz7P3u3rlN/vnPX38F1zjLLPC3g5c/KfD3v/9dFn/fuH6NlIlOSCH8XbS+iPIN6w/K313C 92gkbFhbUCirJJwH5DX0iejBfI//gb9JFSAkLT1DyN/CaeHFixcqhjZ9XJdHpmXLakJJXcAaMnDY xEXb0nPza+hVfFqGjYsHKQBcy+RvWFDee8kZj4h4OF+DhaSUJdN82DlngO0U47dlramp6Y2lZ32C wohlgDYmf4NrdlRoQWrOWibbSfchaHHy0OgdfOdPjfz9pFK8itfTP3BhWCTneH/66SdVe/ZDArTe M+2SqrawBpVgvq3KyKA2mfxN53DO6jxZ/E0qwqseJn+PtQk9XHpMup9A/PKquoS/4aGOcyAwFYG/ gbC9PupfcqB4vpaQFib8LSv/CSTwHhO9ZVl2Xg2z4sazN4YWNqTA//3lL8jffGdp4zA38nfzMDdT 98+Vv5ddeW9rZYH8TegQ/d91ouTGK4z83Xg/ORBsqqZnQn/+wxcn9nTL8A+PpmcALAAgmB2oN3+v XbsW4Bj+A98esQ98T85Q/p6srmtioMfEEXjjD0D24w8/ME+C91Fg4yrpFYO/mcWgIeqwpOf/9Kc/ G1pY038y+0NOfv/jT2O1LKr54zPKDfWr9QqKAXsx3fPMdln83S3zvrZQl8VYUIbljYYCr6q+H6dt xWx6UmSRUXVBam6axd+D1z7W06vWNNHzyuVLzP68efM6bHHSV7HFvGYaP/5m2pcW+cKFCxOcYpjN femVE5O9/uGDb1kVQWdZePrp/A1z2+MjOh87Wio0MXf0DTpR9g1pMWF5ZrfATcDfB/bvIxOVvhqC XsE/wZ3P4u/bN29eu3qFdrhm/h6Sc0u/+tUhXwpZQ0b+5jU/G5+8STfQ/908LP658vehe6/4ZBuk gB7g65O3rnDb/pK7DytY+b8x/2Dj8Whbs4z83Xi/Ov28szdu2UZwAXZ1ITkHlTR16av/O7dvy1kH fTp/d/cvVNTUh8iQudp6NAAjNDIazsAxbr4uxH+PNvW5ff8BE7bsPHxVdIyVjJ1mG9upCw327JYs EgXQVLYLEHeMi7+jklLnaOnN1NKHbYWOHefwX6YtX66mo6espT9HSzcqPonZro65LTitifGevvlL c9cxPy1av0FobjtLx3iWlr6pnfOtWzel2Zr6v+EJR13fhFlgadryOdp6yqZOSkb28OCRlV/N2e8X Ek4fePq6rUhfU63pxKTkeVo6M3WMVbT1ze2d4TmE1TSTv7uGbAtLXs4s4OXrN1doDE1Pmac5V6C/ adtO5qeaekaiPbNqxZe68HfKsrT5gg8iL9BZnJTCbM7EPaBTwkna3ExNIcxAWqCq6q2dq+ccgYGy wBjqJi1bIU3hn87fgyzDIK6DWNa2de8U9w3k/LFZKA7HunPnzmBdZ4j0ILNUVaBL479tnVzIyTEG Lkz/N+1kUHQchNqP17aAHaY4/d9wdUKrX52dO3dqGZrOEhipCE2MbZ1u3GTPK+Tv2idnrbO34Qog fyN/N6QClyvfjBk+hI//e8qEcaeu3w8tew5bWsK+mLD5JXP/S0i2WLA2z8PFqdZj5fJlHPm/l9/Q MJBfuaJ/8x4zNSeT/N95uTm1DgQKZK1Kp/m/T5d2vnK2Ex4NooCb1wjM/91IPzzgvaPOtmPHjg11 SRK9cHddcvjwEUoSENrRLruCdqB+/m9aXVb+k25BW7zjJYy1c9cuWDQJKwsZTu5KxdCcfaVltGPb Dpb2tU8QFajO3+CV9Ixb3iN8p9hNtfyGkk9KUVG16JfyazeVluyjOUDA9RsSv5RaXrIyA/oD1SHv CgTY0PMQxxy9PHtUcL4of8iHH3JYdqnoEHL09AUmHTL93/LuCadOnaRPOEHxS4fG7m7H2M+1j38+ PFrQ6hDcPFHbjFieY+pAz3///v3CpBVD4yUuaigw0yn0/NUbzKYl/J31eIqGPv0IwtxNXH17pzI2 P8+uHOKT6bwwnJb517/+JaeqV/tM483fm/cfHh23Ryxy7rPBi/enZEliLbZu3/6lh3iV6ggDt4cV lbQnV27eVTZxhFWJtDN9InbYhiacPilWkpT8dP6WN3R+/eoVmIJY7VmGNqS5sXO0YB0kOYaZfXzG g+dSGfvvsPgbEgcpqQm6RB8kS4oheImDv3OeTFTVoeOFFzUpOQXjArLaZzyg82qKXcgexmyHwsjf tU/OhsPrWttC/m5I+qxVblrgc/V/X6t8zQe+oUxG4WbBQcmGlyzp5u57u+jcG56HwSG2HfjNg+2U 4cVfMx+wpXPOE/XiOoxF54MmAx0ixti6j7HDo2EUGGnjBYGS/L+eWJKnAp3ijnsEiuOG4dfdxMG1 Q+plEfmlXjG2c6FwsGZdIeSXaGz+HuwQd/IjXcGSxPnG1pC4jTUQOKNg7gGBuaRvQC2TVD8s3KzO 3/v27x/osaJa3ZxKTaEERqHubC1dZjoUuOcoO4VB8ACxfOnSpX4W4WCh86KjHsERVAoHZ+e+iw6y e7WkfKJdyPUbEg5m8je4q2n10PCIASll0lcHNlSGAJWd27eRw8rDr1vw1q5hu2KSU2ldY1PznjHs piG8mykIFKb8DdgHoRS0uo2jc9dlbD2hJ1+Fblq2ShIKb+kTDLOilvnDj78h4lxJxwzmErUGqTxU 7PxgEa1Y5PLyITailCZwzNDQoaEdgMIKejasZDVQpmvYbiNbJ+bDxqfzt5y576OHD4nNuxXPlcxc 6ZOVtAg8+dszMIypISd/Q3ofS1dvOha/gICB8SXSs13OJe7EyVO0GPI3zztb0xRD/kb+bjAFOqx5 fvnRcz78DT7yy49fNM0Ux1ZQAVSgkRSQsw6mAQwQYK2gb0sbgr9pyPVf/vznaUJJPHQj+b+n6ZjR NYLLV67sFca9HBAQ3NLJjRKJro2ziPCq87e+uQ2gHku0GXqWJNUJ/AcRupMcI1gF+vqu3rJ5MykA UcijzUQLBCG73KFDh8hJWOE3w24h57WABIiQjpD2ivJ3d7+CzNXipZOw6HC2kdjDKm2kh2c284AH zpF20ZfKy4nNi+UXFNxiOZuGdC66lva0acrfX7kt379/PzkPyKtkzbHeUcy+Qony23ft6eW6skH4 e9OmTf392PvSD/DO2LdnN+nVs6dPxhh5QFsf/McSN7yatsyNV4fbx547e5YO9tP5u2vs4ciYWGoQ /jCxtlM0c+vhvbp+/A1PEfAswazLyd9femVv2rKVtAuva1Qs3Lk1z302U1Py/Ib83Uh3wvqZRf5u MPqs0wVoOf7vkZtfWR//Pvny9xtvVe2/83rPnTcbb7+LPf9u/v6qQRte1mlQX6x5fuXRd3z4e+rE 8WX3Wzp/Gx15H3L+h7U3v9999+3+O6923a1adaXK7vg7lb0y3fZ1kqutFW6/+vn03W8WX/5pzY33 u+6IJN1x713WzZ+sjn/fJf87nmp0W/ud84nvUy6+23Xv3YnH78oevD7y7ZstN18nXXgD16t/UUuf VDyH2TqKZT2ep2NIycPD07O3ezq4XcnR222Fj68v/dTW3ZeGgrD4G1I7S49XzjaMlf+EluGOP8l9 qqwpyRphZmNPw6+ljc/W1qcLH73DYzvHlLD4e5ZmNQAiFqbZ+AObkhHBcroBnmzK7BKxLz4pmRSA JB5k7yE5cz9aa+P6okFB62RdXCVLLwg8INUpfw+wj6MhE/DHVM9E/nNjkoEjzQSSvnJFr4/hNNIW lI3tITqFNE35e6xFwLf375GT4FMfHpArq+lJHolnPkbIQDA0ZFJvEP6OTeDYP7Vr6M7ly8VRRsCd 8kYu0FYPr9zCDRtJVyHsW8XMSVYHwK/sHyJ5Y8PJ39mr10DScZYFeL+haWhOmmDlP1FYYAhLHulU hz9efPfd0jVFCt7sXDR8/N8/fP/9DCO7WvkbMoLTJbD79+4Z6y8z8fxUh9BbN8WvVpC/+X99mqAk 8ner5+/ca1UnH7ys9dh0u4o5n5T3vI0+//7Ck6oDpy8mpaQ42lpra6jOUZ4+b5aylrqqp6tz3qbt R67c33z9pUnp+xomIiQcPPHgFW396r2HfPgbdru88egZq89FNyU9tD7+vtYR0QIhp6sNjfR23v63 ZQ/f1GrkxIPXeoffsZTJv/b6WuXLtOw8f18fPYHWPBVlUEZ1ziwLE6OExMR1+0rLK95svP8zvPPl 8xV1LqvDWPxOcowFBljrQEiBEw9fax7gsED66Vb2jq+dB684rzs8m/GxkHu12iMKPLGsu1F1tfLV xt37XZ2dDHV15s+eCZKqzVUxNdRLXppWfr/yaMUP6rJ7Dp0XllTtuv3q/N0K+FWG6QqXY+7MGfAg N0Nh8gLVec4OdmmZOd9cvnX84Vv3U9/zuS5Y5hMV6OObl1+4nmLHnj17l65IT125ihzw9959++in Fy6cH2kvzlbB5G+Ih1bW4eDvqXZBNIkhyT9YM3+D/3ieUOI/FphYSu/7Qy0oaxtRYAqOjYcNaJj8 DUHMytpSCcJXP59oH3bzxnUyooJ163r4FbAEhHVygeHihXd078+Jxq6AiaRWbm4uxMXJkn2c06IL 58+RkpS/Ye8hilnHSo8Md1/K/6pN1bWEOBxicHEiB8tSU5NtAu/fu0tKUv6WN3F//vwZObmhqLAn I4KI1YcRbksgJTYpCag3xlqy9Qx3b/nFn7j5LpSOIekSdSBqcQJpC4SFdOzQRG+XtEMHD5CTEA2i YCXTVQ/OfiNrSUw8J38XrF3bw7+Q1XN4H6JrJk56w+JvKDnTwGrvwRL6DEN6cvTYMfWwVcwh8OFv uPQK1VO/c/q/xzGejnZs29rPJ0fWxBjmsezIYfEbGORv/l+fJiiJ/M0LoRr8SjSg//v4/ZdGekJY zljDAYByseIVHYXp4dcFR8s9vbzlRg2vGZeBxZes3VL29CdZCoDzckX6KtL0VHk5nslPxo8eAYWZ HRZoqp1/JOkhrL9MToireVDk0wAfL+n1l9BbWNaZv3FrrRZWZmRaHJPg2umnP67ftd9AKKhZFtBN U0f3UsXrMZtqnz+w/nJRdGStPYECoUELyfpL1pF+8RUMk4+FnLWFwkPVHieYpqLOVkVHhPGxs2zZ MscTP0j3pPzx6wVq82u2YKwvhDlJ65ZU/Fyw55CeQLtmSadNks/dXmxSXG0LQ2IEvONryytX5a0D 5q716U5h0oSIxKVHv33dmd/TUYN/tduOQUWhOd3HhABHzf/RFIFAJI7eAaQwRGBD2gpp0RRNnCGl HSnDh7/BAqx1ox1w8vSBAFnua5H7bA4jv7LLwg/pERnxJ7C5z3QdU+m6Y+0iaKaL5ekZ4ONnlWGu oqP8DXs30sTSB4v3j/KRGZsBAR40spny91cuqRSeILh8in0o/wk20Ui8NBBk2bRhff8ASQg+y8hM EydwGxP1KH+PsQmlzxuwTcwoD45tSomdqbaB9+7eIdXhEWKQbbW0gBwd5sffls4ezAWUxA7sTBkY KY73oPwNueHzCsSrY+GRQ1m/WgZGZgcg+sjR1Z3OE07+3rNr59c+Waxuw3Sy9/AhFaX5G7K+DHBZ OtfUoWjXfnq5oeSxshODLcOoKT78DRdiqmG1rZc4+XuYbdTlixdJf+Dlw0T3D8uIuY6pTpE0oSHy N/+vTxOURP6unZ8a4zI0LH8Du9TMJeNGDiP83Snv+dWXf1qamVsrxzALTJ44AbyenDpYHvs+ZWlq naxxFgaPOIu/PyX/IHQVsqnkbdhSa8cguRXhb5Udz69XvJgwbmytVZgFio+fHFcgXm8ua54AfwM9 8zFL959nmQL+tjIz4WMhY3V+zfzt7eHGx07c4sWc/H3h8St4dqqVpIG/4eVAV5hsz6qmK8/k0yIp k5aZu+R0JXP4unufXbz3uNYnIlYTipMnXrxfObjoaWN8edEmKMBk6NrAW/z50pUZ3YNFKUE6ppw3 dfaitdT1TWnSBqot5DGkueR48jds6k7jv/cWH+jvuozzSoEH1NJO4gHVMAZP+V0mf8vaEgi2Cqf8 DQ5+Dv5mrEal/N3ffcW+j+8BwNk/ncvZD/2E8AZ1AzOqCeVvWEGemp5Fz4sigz/kxJA+hnosl7MK JMcYi4Ww7c4wx8XnzpwmdcE1q2hYLaqBWoAsKIa2zrQJyt+Qu3D3XvEbDNBkqjbHawpiZK6xLcSm EwtrCoqAhmv5jvDjb3NO/o49HBARQ9qi/A1BKWGJkpWmhnbidcDS3RgUsh42AZXm7xGWQXTtLLxw GGsfyarbPWhz2qpMFn/DW5d2WaJD9MeHDD9fOqWqOQfuLS4mJSHD9zRN/cbg714+8MQhfvsED7HK mqKNfjiOnEoVLUnieeTvFnX3Rv5uW/x9sfLNiKF13hwe4GbyBLms0ivMFIFkHn8e/B16+k3Rjr38 MbEagpd+c/Tpn2v4VrdN/oYnvesVvBYDMMWcJDdmxiyVA4/ErveE868z8uqznSrYBDd8QuFu86M1 RU+1qHtx6+oMwOiVy+K0x5B/EJyOsg5wFhIW+eDYc4BhAgGrmdpSBgqLiukSe4Q5fIB7YwsrWoAn f/cLWp+XJ0lON1do1Lm6WRH6J59T9U86e1qcEQJyk89w/BAswfB/Nyx/Q4JqR99AOpaC9RtGSAVS Q4bv8XO1f//vH9L8LaJbbT2aTL2k9NhI12T2VMl50iNiT0ziEnBCk0PHxqVr+B6IqwmJFYdqgOXU FekDfbNZdeFaTJynTduFPyh/w0ORwMiUfpS8IvPL4M0cRJtwKDQ0lBabD2sfZTwhSOo2NH9DV2cJ TWgfXr95PcXQUfoFCEQxLTAwZe5NQ/3ffaxjT54SP6vAW51ZeuJN2kmfIZZpmt+y40fFW6JS/3dv x5R5QqP5QiNVXeNJM1S+SLsuKp/1SFFNQN/eqEAs08fkmw3o/4ZEQ8b2rnTIe/ftH+cr9Wol9xlk Qvz375J5hfzdom6zyN9tiL+vPX9fP/gmhGRjab7iNHtvhc+Av/Pv/BSWsrJ+8E1qnbp8o0+BzBWE bZO/T9yuqLekAivH/Ds/h5186RMeW28jpOKBqw+GbarbMuIWdYNuoZ3JeaKiJdkTsby8fJq28TRd K+kDNp+n2dmAFQxtncDbCoNS1DKgXA6Rx1NUtSUjza5U1LemQRdQiyd/Q6yC0E6S2ORt1fsZmrqd lkiiUCDPyQwLjzMXJZsLbthd3Mf5Q0R1o/E3GJ+qZUSZD7ZfOXzm4mQjJwgWb5ddCagKUSuqfokb PuayIETFzD84xtzv3v37lLSyN2yf4BgpRj3oee6zfnbxBgwHNrQ1WlXsc52mrkNfI0BWvp3HTk8w cBIlyANEznkChKrhGb15q3j7JNIEc/8deU1jeBoh599VVblHxA9atF/k8SVUmvlwTEB2QkYe3SIU HPxyGka1T9qG5m9ocYRF4NUbku1mTp6/NM8zRqTSx4eBXlH7TP1jKEOTQVH+hseV6MQlVGR3X/+B C/PpQL5ccjo4cRn9lPJ3D6+czHXidZ9OHt4dUy6QKpMcwunq4VkCQ6pYA/K3qBVda7impFdwleFn SMHYmTmvVLwTCjeLc6SQYsjftU9OzP/dojRqjM40ffzJ5dv3PwW+Cc0sy1ptUiKJ0gZlWjt/L01d 5h6Z8ImQByEZFx5zxG2TmdPW+BtiP06UX/1ESVfvPGjm4v2JRqB6cGhoQBnydwN7GXoFFGZ9TIoH P+pmjm7SmbbJ5O8UX+YWEELBpbS0dIhrCpwfy0hvAp+C63eelnCGrsUsEwdVoQHTE8yfv8Hs0MD8 PMaSUKgLVAR7HyrrGM/VMbR0dKULCuGjn3/+SUH3Y6BwY/I3xJBEpK6iIsAfr1698g2NVNUxgFHD dpXnzp5hfgp/s/afBxc4xBjQMuUXLxnaOM7SNoBxzVkgLD4i3u2cFPCOSoBMLER/2JJ95VoxIJJP X7x8ZWZjN1dLCHsxunv7Xr92ldU0k7+Ziw5JsaSUpRp6RuBsVtEx0jIw2bZjB7M65DEEh3rtv5iN wN8QwDNbT+Kth15duXTJ0t4J9Pmgkg48xbFGCv+k/A3VNQwl8T/wUUZ+kYrAcLqRwyyBgYe/5A0G fET5GyKzLT0XioX97jtlC9j/8nj32BKhlTjACa4a7JJDBWlY/oar7BEZzxwU7AvrHxapJhTNK59g jnmF/F375ET+blEaNUZnmpi/P51jqIXLT95CnkGqSWvn74ZSBu56Qed+5JwqbY2/G0rSBrEzauig q4/5JjdsjG/6Z2lzmp4VwCv54YfA32l61jUMU4mxQSbdoB5CIzwi4pjoAGmPAQ7ev3snDUk8/d+k DzMj84wNJAGvxBq4hCGrCdMyeOW17USpo8VHY/I3NDEo966enuSNgfQYWWdY/A1LkLV02NXB68wM pSAWys5fHm4tWfAHTY/OvGSgzxakhg4w+Ruq9826JdRlNw3tsjLugUGBULdH/hNeE74R+Bva7Zzz WEMgyUFJxyitEv2I8rfomVDP4eUr8ZJfUgA4GyYka+Yw+RtqjVfT+/VjhNV///gDkhvGLI6jme+3 7TsICeAbib/BbJ+8x9JXp4aLi/zNa342FYJj/EkDe4Z4Xt3Wy98b9x2CLM50mJD/BNZfAuWQAxZ6 8sQmWoX8MVNJoVnWX/Lsba3FVGYoFt/ldoEjf9eqXqMWiF2SxrmWlOdXFYuxFIDVk9auktWTq/PX fekvM6c11O3vlcH0kkbEJRHv7PCFq/VlI6lrYDhNPl0n/u4SXTJBTa/8+q0aKATCvmfpGHUN2d5k /A2RHiOit8UsWU73aJTuXk7BBiNrO3Kexd/Qz34RO4JTs2qoDrUCQ8PH6FVLnQEVOyWeGhe7fXHK shrqpq/d4PAxuQeLvyHOeFDikcglK5kOeFbnITxdaGQyIGoHc6/Kmr44jcPf4K3vmXJKS0+Sk15a ZHhoiUtI5ORv6PB0TV0IEOKcOS/e/2RmLV60wMp/MneBDmcioD27d03UMGTq0LD+b7AMMVeDI7eG J6XVcHHz128UGJqQQSF/t6j7OfI38rcosIT/AYmWYa8TOokhecjVJ2+uVr4WH3e/5WMKMP36gwpJ rQ/Vix9IlspB/sGmyX/Cp7c8y5y9/ajnOg5XK/I3TwEbqZilqfGqSzKjg1rU7bhVdGakmlHJgQOw sSIcxfv2zhNCeCt7WQhzILB2TdPA7PChElIFcqXJzRFFe8MGjSMKK63dvGnmaeADoJ/du3fP0tKf YOEHu9WQKn5Boaz837t2bCcfuXj7d44tldZtuHmA++K0EydO0IwoYBy875CWJHxJ+iSbIFHCCqaX 64P/m9g8XHJQkWtLIFhyWrA2j5QJi4zmzD/o6OlLCmzdvJHsv8M8eofvmK6hs7O4BPyjFJgA5mCz zIjUjFG+K4XmtqQ6DHBq9STQYAc2hZmqKkhZmQErWSHJHRSDzUfBDuzKuWHzFg1T2z5J38iaQl/b xUH+x70HOJoOSlk1zDXFwtGNNA2ZCuUt2Pmze4Vsna6hC1kXIY8K7TnRMzU9c5qGbsfs6nrW7EH8 wN+kOTiSEhN7eIv3uQTRQDpy3tTehTP/oLvfQlIA8l6T/N+sSwn92bz/EGxkQ58ZYLsl2AE0dXUh PJvN0BDAAlxigen/BiMQ0a6oZZS7tpDmTSfPQqs37ZjoECkwtSa1IBujkpYkQ3zPwPVq5g6v37yh ofYQNL9pb4lKdD4r3Tvwd+nhQ8QIRBCRtRBwQLIaJy8/cn73zh3S+Qft3L3Jp5s3bpC38GENuVfo dkV1nfScNZAQhi6rIPMqNi1TbmE2LA8l1SED5jSheGlpX7eV6cvTyPnEhIQePpJ491ZxI/oMOon8 3Xb5e+yIofUgHtigZ8+daiHg9GvAf/9Lmg9R1leoefm7fspsLj4ybZfkyYQODfm7HtOsAavAq4kD d3BfzAa70fV3SxtlHzXKPvrDEfWVR3qtP4Rfuy1jVhnoEE+rgGN4nGUA5IuYLTCcq2s8XdtomE8G fAo+dVplhF1Up/gTtEpf7xz60XDbqI7JZzk7AHw8yDEeNqWHfTFha3fIMq6gpjPC0L1bEEcSD1gh N9g6kg4Kxihts1fgetruSLuozouOssrAWKA/1AjsT8TZsd6OS8YLbaapCaBj09UF0xYYwE71ECMO yyKH2kiqwzC5xxW0eZye/YSJkyZPnSo/cZKCmmCCwOIrn5wa9vukdqBpeVHTOrTpkaaipsHJPYzR dG8ZLzR6hmydqGcLjxDzdI3n6BgqaQjlTT0gMV+tE4BVADCXoXb0KLuoLtEHSZnevnlUZOgSJVTJ hEk6wxS5rw/Xrpw5lb0dkifo2oA/G9LgzBYaT1XXk3eO7fmB8gc6xNEmBllHwjpUVvf6+q+dIrSc qaUH02aGmjY8CMHGruBcH8KQ6GuXahshQT9HCe2nqunMFRrDqt9JWiZfObE3v4RWvnZJpU3DtaaL aCEtD3NQ/byrpamBZZ3MT3vL2Aipu3/ReEMXWNkMFxdy4SsuMBhrLrq4kBym2tx2F6dJgSWnkm+l 6BKU1PU6YvlPVAD5u8F+lup0JZo3/iR6UdylOw8uP/ruWsXLU1dvL0lbwR93ROhcyUGZMPzWzt+w 1eWJ85euP3p26fFL+D/k9tbXqWXXGKZuKcvTmVv5IH+DOLBZz5aduy/e/vbS/YpjZ8vdPT35zzRm ST9f39JT58DIpbuP9h4+amNpwd8OPE1dfFJtP846fVWxcBMpkPUYsKxR2sp5IrKc2/KSwX9Cl8Zb BZYeKoEnlsm61oOtwmvY7JNb0k9oGgyK9KzxpUejXMd6ReXCi456zqucSqhYV2FFbeVU28GgGaT4 tIvbDB2u15X9DPqJ/N3m+Pv45Vtux9/Q3QH7FL6wKHnhl5IBaSt4Mg2AewfGEkz6NWi9/D196iQz K5uCS0/huYgOZ/SWVwUXKmarqPCUxc/bK+wsR7bpNuv/trG03H7+juLO17B6DNKBD9zwMvbCe4uY dGtzU56SQjHY29U2PCn81KshG1+CEZi3ctterzz/zDMwlL+Ra08w/qR5bnSfwW9kyxwC8Dfk+f75 558hA92Z8+UzDG1bZj+xV6gAKiBLAeTv5vlZai7/d0RymttJyXbrdFrYFVckJcTzBJqya3f7MTj1 M+BvGPi15xyyKO95e+XBkzHDh/BRBrByxSWMP5GsJbj+5HXfQnbgx5X3/wyNX8JHT1LG3tXjyrtf WfevoRtfXn3xE38j0BP8DUAFPicFvg4qUtSzgtR4ORu2Q4zy+fKLg6zCP6cB4lhQgc9eAeTvNsTf UyeOL7vPHQgLXnDI3s8TaI5cuD54A0dO5dbr/85ZW7igmBvR0k5X2FnxinYAT+2aqxxG2qb/G/ZG nreD+41/2d1nCpMm8JlsyopTD1/nXtc1c/eb9dv38DECZZC/P/tfsjYyQEg4/aVtPET0kvFCALGi heezZ09h4d0EQ6mViG31tX4bmQw4zNauAPJ3G+LvJclJVke4Q7dhHpc/eA77yPABmn0nLozZwrEE s5XyN7i3IaJG1jfZ+Mi75WnL+MiiraG68Qb6v8X+7/LbD7rmc6u6+MxLDxcnPpJ6ubksKuPOKNwx 7/nlB0/5GEH+bu2/Uth/qkBftxVq6uqqeiaK2kYKFl7K1j5aQlFub8ioOMxsIQqFCqACrUgB5O82 xN8bt+2YwUjdzZqmpbeezlCYzAdodh49Kb+dw9HbSvkbUo8fuilz2wiVvW+LNm3mI4vaXJUdt9H/ Lebv6xUyU46YHH6blrqUj6RR4aGex7mT7YieGB9+x/OJEf3freg3CbtagwLA34uiIyHh4N///jfI /feksgLg+9GjR5o27qgbKoAKtC4FkL/bEH9DQg9YUyhrgu6+/nT+7Jl8qGhbybEpOz4f/hZoqm28 LJO/YaTb95fwkQXU23WbQ942GH8iN2p4+SOZu74vOFiVk5fPR9JlaWkmpRxLWskchmAqCKniYwf5 u3X9LGFvZSkA25tDyrxJOhbTNYTz9c00jCwh05ycmXeXyP0oGiqACrQuBZC/2xB/Hzl3GZJIyJqg u26+UJ0ziw/NbDtY+jnxt4FQkH9ZprN24vbXOw8f5yPLPBXlPbc45G2D/P0hv7vMJY8aB6pWF23i I2nqinTTo7L5+9uXyN+t6/cGe9uACrRfdb99+t0GNIimUAFUoCkVQP5uU/x9pUb+fsmTv7ceKJ26 kyPQuZXGn4j4+4rMx5IP/P0NH1iEnYn2Njt/5+YJD72TdQeJOvPa28ONz1jiFi/m3LP9wuNXfEI+ kL+b8iaObaECqAAqgAq0OgWQv5G/xQrsuon8zTEZWgJ/Q1pDnjmzV61apXdYJn8nn37q7GCH/N3q btPYYVQAFUAFUIHPTAHkb+Rv5O+W7v9edqnK1sqcDzcnJ8bbHJEZ+JF3oQKSJPKxg/7vz+xGj8NB BVABVAAVaFEKIH8jfyN/t3T+XnLpvYONFR9udnWyTzgrM5am9NYTnilukL9b1G0aO4MKoAKoACrw mSmA/I38jfzd0vk7tvwHT1dnPvytOHnisXvcWbchZeSuQ0f5GIEyyN+f2Y0eh4MKoAKoACrQohRA /kb+Rv5u6fztf/bHkMAAnuh8+PQF2J5d+i5z5sn38mNH8TSC/N2ibtPYmYZVADKHdF58rEtUcYel lxrWMlpDBVABVICnAsjfyN/I3y2dv+3LfohLSuGJzvGLF60/c2f05ped8sRX9quiFxGlD3yCQnla QP83z7snFmuNCozSdZyjZ+oQEBYQHa9j6zpRaN1h2dX6DaRb4KZpAhMlHsco8/pvTjnUfhFtYtIC Y9iCvn69bRW1htlG0cFO0TLpHHOIT7e/SLs+QdOYVhxlHsCnFpZBBZpXAeRv5G/k75bO34KSdxmF W/jTs572ggNHyy7dr7j46MW1R89OXLgcHRnBvzryd/PelLH1RlKga8h2dafAyu9ewp6R9L8ffvhB y9Kx8/Jr9Wi0u++6rOycv9f23/17d6fpWtbDPqky0czr/LmzpBEHL/+OiafrbarlV5xs7Hr54kUy 2MCoRZ1jSvj0+YuVd7RNrEitb+/fmyY051MLy6ACzasA8jfyN/J3S+fvAetfHrt0s04ATQpDHu5R QwfVoyLGnzTvfRlbbwwFpglMb9+6xYRv8ved27eFbsGdFh+va6PA3/nrCqQNss7AdvGfwt+TzLzI PvPwX1vg75cvXpDB1pW/Sa3/+8tfkL/rOpOxfLMogPyN/I383dL5G24NsIN6PTC63lWQv5vldoyN Np4CAz1XbNu1lyDaP3/9NSMzK2Vp6m+//UbOvKl6N1rHtq6tI3/XVbFay4P/u978/fuH/54/f4b8 XavOWKAlKID8jfyN/N0K+Hvttdf6Otr15um6VkT+bgl3Z+xDAyowUU2X0ratT3DvkC3dQ7fP1zUm /P3HH39MUxPUtTngbw1DM4h8IId3QBD1fBcX76fn4Y/xAou6Gqfl0f9dq3QQwS+vqjNdQ5ccY4zc a62CBVCBZlcA+Rv5G/m7FfC3zTffx6/MritG17s88nez35qxAw2pQHbFTC19AscQgjLFLoQYH+iT tWfXTnJezdAc8qLUqdH2Gd9C5DE5OiWemqtjQPm7aH1RL5fl9NMvlt+oZjnnSfegzaNtwyfq20/Q dxhhHdY1fM8XK25xts6Lv3OedEi7Nsg2ZryJx2QD+7FmPl/bxHRMOsNpEIbZKe44xNuIj8RTomLZ Fd39C4fYRg+1i/3SLb1z7BHpuh2Tz/W1ix9hF/21Q0LX0J28tMp50s9l2TiLgEn69nL6ToOdEmHR qnRF6Dzp0mQjZ+r/XhgZ29M9Q9TJuOPtMx4y+9wx+Swx0sMnr8fC9R2Sz1cbUZyMUKKsx11Ddgx1 ipcz85Yz9x1iE9Xdd237zIdgh1md56JPXsP/0Ek8UAFOBZC/m+e7ASkpyq7c5o9HEaHBXqd/4LyE x++/nDZJno+pI+euDOHKTEfM4v7znPK2hP3nSceO3nupNGUSnwtdQxlr35DsNfm1GkH+xh+Mz0qB 3GfKGjoEjh8++HaOgygbCcDxWOvg2zdvkvPKC/Ta5VTWf9TZFSz+BjTktDYoYttsLd1lqzKvXb3y rqrq7ds38Edc8hJVY+vhQkfoFatWrfwN3t9JqkJTO6ezZ88+fVIJNh89fAh/23j4KZo4SxsEeFU3 NPcKCoPDzS9wvLH7kOBCVaFBzpr8i+UXLpw/t2fPHs8QUR4SeEignZmiberg6btl8yYoc/JEWWxK 2gx1Qd+g9TUoJqfnoKajt3d/MayJhF69ef36RNk3scsy5li49HNIZFaENwnm9s7QH/+QMChGrsj2 nTs9A0WdnKYu/CLtxhyhMemzs7f/KOuQIZHb5izQyVlXaGzn0jn6oIqOEfkUjkkCjvWXIx1i5wsN U9JWnD55suLxY5AIFnouy1k7Q2DU028dvP2g1aeq1vlNSP2nDdJ5G1YA+Rv5G/3frcD/Dff3znnP L915WCs611DALzph3Z0fs9cW1moE+Rt/UD8zBcCxSsHOyMRkeEHFsKhtscszCer98ONPY7REKUog u0jHlPP0aJ/5iK8O/Ph7qppOeoa4Ueosp388fPZCSdcCfOHMRmvm70FBBeYOLtKmyBkYsp659dDF +5gGwY1t6+5LCnz3/Pk8a8+c/HXSFv7xj39ELl01OGQ9+IytI5b89a9/lS6TvCp3WGy13pKGOuY9 n6Ol+/ojSbMqQq/W7zsyTt2wXZZY3u5+6/LWcvSBVJypqQMvEHQt7Mg/b928ATKuWJVB/mls79Ix /iQE+ZB/stdf5j6Fx6r51u6nz56VpVJset4sTfHjGZSB5wq+F70NsyNK9OkKIH8jfyN/tw7+hm/7 3sd/NnT1r5WeOQsUbdsVdOKl1sF3yN+fft9EC61OgV5u6TEZEsIzMzNLSxcDHCCXvqMnMDcMSknL 0MrFixzTtY06LLnId6S18Tf4oWdqG8ACQSYF/vrrL//+979ZXGgclMCTv0dGbVm5ei2rOthknYlL XjoieB21yeRvWK0YvDAAMrTIYtO49NVCzzBZnwJJm1jZdlx5m9nhL0O2aAiE0iP973//y7Tzp7/+ XV5dn1SsE3/fvHE9KSGePg/Uwt85T1Q0dWhMi6yBGBno0Y+Qv/nOeXz8+DQFkL+Rv5G/Ww1/w20x 48aP6UXbZk2fxp/Cx48ZfePxc5XtT6E68jf+tLRZBb4OyF+cskyawNzCFnWPOQiydAvZkZi6nBR4 8O39CZZ12calRv5un/FAQcvol1/EZAxpqo+XlanrGs7UMYLA9AWG5qfPX3j/7h3tm6K6sB04bj/8 usvyf/e3i1tffAziOkgtsOno5gl+XAiogP+HxS8Bg5TFV64pGOC5UuycZvi/aYs7t2+LiIoJCo84 ULyfhc6kDES2ZGVlBYRGZGZmQgHwjpPzMKjJC4zopOoatsspMpk5Ugj5mL1A1KuZmkIzR7eqqqof f/hBLHLlMzkjVxF/+66zcHCBCBCwT19T7Ny1m8SEiOJPGP5v2mdIrJ62YuVcoVEN/m8IJmFecVBp 88YNC0NCvfwDSw4e5MRx5O82e4to4oEjfzcnf0+ZMI7nkZwQV0P8t6GuDh87tcZ/21lZ8LGz9UDp 1J1vpGdqhzXPrzz6jo8FzflzL1a8qmGuw2CT4hfzMeXv7bnqIocpteKq/I1b+VjwdHXOv8KxYTvp Hon/5mPHxtJs7y0OO6FnqhZFR/KxEBq0MPnC61pvAToH35TcqFwYFrlAbX7NFK4n0CravufsU8nK Ae2Sd7kF62vtTGpqquMJjvUG5Y9fL1CdV2t1KHOxQuZANA5U5W3YUqsRKLAqO9f06HtZgpR9+xJy wtRqZ47ydMjeWKuqWODzVyDr8aT52hCCzKQufY/gL9aIfwWmGLu8einencczKKxuGcFr5O8BDgkl RyXtGplZjHBOaJf1mGgOCyIHW0dk7y6lHduwceOooPwa+BuAfrbQhJavqno3Xce0I8NbD0Esk+dr //b7H6QMJHiZs0Aoi79DFiWOCcztHFvaefGxQR4r7L0XssD0/rffzrP17hWyBQr0CN6ioCZ48VIc pQ0lhRZ2X6y4Kb5haplSz/T379+rG5j1Dpes1Oyw9NLYOVrXvq2k9u1c3DulXoIQdrDMsf7SLR1O wkcs/oYmivYemmwTCLEx8I7ii7RrnPEn/X2yizZvpW3du3cX+jNw4dpO8WWwXra/67KZC3S/e/GK FVqD/P353wo+zW/dUPogfzcPf8M6yBMV708+eMn/sD7ODSKrr1fxNAItjtosk3qXXnzL187jKgUu /u6S/13Zkx95Gtl8510Nk9jm+Pc87UAxAFxpU/P2vz3xiO+IYs69ldWZKTten3jMV+FllzjsOJfV 4UL7neQYC2ffAk9Vbb34cN2+o4vi4uABDB5pZs9QAtYUaml4urnmFGwovXp/3dWXs/ZW6xKw78mH b3ho+4oTfDfdfsejrmhWb7otcyDz91edeMSnDy9PPnwtPCRznuTznvl778uE+Ia6k6Kdlq/AJHX9 //vnf2C9IxMu952/OTi4CDoPhKdnaU99yYoCk7qNqEb+nq4u8cIWbN010Ctd2njvpLKAEEmkB0RN 1MDf/byzN27ZRgcyx9SBs7ezzV3evPm4nHHHjkE+WVCMGX8CFo6VnRjoEMes3t8q8uTZ80yVZmro APHTMpBZxchFHEEOxULikrt8iFnvFH/C2U+ShNHAxomzV5N8lx8qKSH2YWshBQtvWkxW/m/gexr/ DbVycrJHhG2gtcj+l8QgM/5bWdvwX//8Jx2IgqqAHdCf80R+nvY/fhH78klJ5O+6zfyWwbKtsc/I 383D361xrmCfW6ACKnvfOpW9W3Pj/dbbb/fffbXv3tvCW++jL/6oeaBq4AaZTv0WOBDsEirQiApk V86wD/z9v2JnMDAWM8RieXbeKN/0QW6pBz9CYX7h+j6+3NlLZHZSNn9Dqr6wxFTCdo8fPQIWH+CS ynkoqQsgPQsp6R8SThzwnPEnk7RMIJSClLSyshzixm1wsFuqubkZKQYgrmTiLM3f87XEfnEGzt4W mttQbN2/d8/4gAzWwKeaSN4VbN21F5ItQoHBVuGXLl8mFTesL5zilyZrpBAgTu3PBsd87jNinyd/ axuZQfLHmvm7S8TegNgk2oqOscz8kqr6JjRgBvm7Eb+GSOrVFUD+bh7+7pRwQrTQHg9UoLoC8GIU b3+yFIDX9L2cUnu6Z8J79t62cV2iS1ArVICPAqPN/K7duUdRLH1VhppAl/5TBIs79kAyOwkRatc9 F6Fs/oZ02nt27ybGAa9LDx+q4YC4c1Ly4KFDXzou4eZvRjpFKFmzQfiUjmsG5FjMrmT6v2ErUFhy Kq3hDE0hXS6ZkZ3bbaHE2UwKD3eOh0R+xPLRI4f7O4u6OsXQkb5eqLVX1DHv4B9KQ3148jcEuDP7 zOn/7um2ausOcXL3H77/XsnQTtZUkfdPLzlQLFEJ858gKDeJAsjfzcPfkzTn2buPxQMVYCkwWX0W H55om2W+EroNmGc0WEkVot4HztGnPrO2qQaOmqcCneK+MfNi7Ez5zZlRDjFQF/zQNDjhxx9/pInA L14sH20XydO4pJhs/h5qGw05s5m4z+fvu3duDzMX5SmX9n8Dbmoai8Mt+JiiZQRWjhBpzcp/Mt3C Q3qwynoWEMhBKvoFh4KGrDL9fHJgySYpcKz0yAAXEX/DGlPp7Cu19jB+eSbdlIcPf0PGmBkLxIlT SK84+fsrpyXQMdL6+XNn5ZwXy7qmvQI3rF69Gvm7znO+SSD1M+4V8nfz8Lei9sy//9D+f7+0wwMV oAr86y/tlDQVOW83gJvDR47qYxn1Gd+Mah1a59jD4jIfF67VWgULoAK9HZIPHRZz2H/+85/x8yXh FkpaBj/+9BMTEGEpHmQeJLkI63bI5u9BdovOnT1DWgH3MLA4n6NwXb6cdRAnf8OLIDUDc9ptPtZI GX1LO9hpksnfsA3NFEs/6ZEq6tvAMwlpwsHTj+43SUvCzpFFhYUs/p6qZUzzosCeOzw7FhYR2e3j Rj88+VuJB3/3dlp6+JDY93/l8qVpLtGyLmi/gLUb1hchf9dtwtf1C4LlpRRA/q7jTbaB5hDyN2K3 tAKy+Lvbwo0jhg7qr2U/YvhwSCAgfZcEn1anxNPs87nPOiWcFG98nVMJf8s66JqkL9JhG+3TrGLw a93+4zYZoiY+mJW1UzdUZ2+1TTI8ZD4U1WIs4WL2VrpdEQBlc21GmPNENCipPQKJNQgJ7ZTE7j+c qeu+4vg79DkpMNLUjwZ1RC9mhy0p6lqVlEgiNMB9a+sT3C3xRJ0VkM3fPT2yNn1cK1n2zXEFY6eR 9jF8jl4LRbtLcsZ/Q6Q45UUdQ2M+1qDMYJto2OWeyd+gjDxXmkUFBn9bu3I8kAB/ry1g87e8oSQo PDomZqR5AJ+ODbeLrlP8Cfi/+fB3d//CVbl5RCWooqxVzWXOvL5TrAPoDIHCuP6yzpO/gbiorbWL /I38jT74lqIAN3/nVA6ZovyVwBngcti4Cf21OVIK9NPzGj5qNOvmBdAMcRp9zMLgPFB7DZkKO8cc gjLdA9aPGDaEs9iwseM7pF0XM+4HswNn67bLecJqsYf3Gvior2mw9G20n4EvfAQBJNIfidodOli6 3SGTlKR3H4RlXlBykPICaTsQOg+vCDj7P2LECAwWb2u/bXS848z96KLGsKiYzrFHmFL0TSu3tmbH ckASjwFhkq3XeUknm79hZgLTExCEdZ/KC3Q5DXaJPtjDMxtgnRzwN6QZkcXf4wycXr96RWzCzpG9 Awo4bTINEptQrM787ebdMZn9QoCTv/s4p+7ef4D06vatWxNtOW4F0AHOXpH+N6D/G7wS+jbO9Cml aPO2wb7Z0reUTmlXrRwkxZC/ec12BO6GUAD5G/m7pdAnesQ5+buX68oRw4Z2XFIOt8VezstGDBnI Agg4Xyt/i26pELPx4egSsQ8gtXtAET1DAqm/0vMcNk5ecpKWjz4I5WmAJsF6IPI+5uHMOzX0cPjo McNHjZHmb+APIPsvHZLBiy/Nwf0MfIaNkWO1292vAFqBvL/MJsB1N3zMOFh5CTzdwyuX9TvRyzkN qnRIvcIy1T79HpzvbRuPvyttU4EBHiuK9+8jHHapvHyic4xokpBt0pPPaugZU0Rj/pG8Mmu0Z2od FKsx/+BkNSGEvhD7N+/eh0cCacuzYouMDfR27dhODsiLRxKEc/q/YcPIpdn5tMP6dm7wloxls2vS KU2BkBpMW7upt40oBrrx+LvDknI9e3faq+SM1X0DRbkdWYdjagHtFWRRHDZL8jjdgPwtkk5Vh5no xissdkjEFmZnumXe1zKzZSY/Qf6uw5xvCAZty80hfyN/I3+3FAWk+RsCJ4CJ+xn5i29S2RVD5acN nCVg3bN48ffHeyW42Zg8TU31FzgPk5sofTfsvKhUxOt+Ygcb4W/IzABPBZKf/Jwng2ZqfaXjOnTC VGn+Bmd5f21HsPy1hvVgJTW6sR9pC5ziw8bKsdrtErm/v7YDcz8R0WOGgc+g6VD9GcTBgywA1sxa X9onQcfoPiD0I/F7gLYdOt+Wf+RgwvtHLaZQuHX/4anGzl95Z8v5pFl5B0FmDPIR7LxjbSNJugdn dheXTLLivQVmjfzdKfmcs5ckYXZ6Vg7sBwn7v3SJLIapPsgvZ5aOcREjBNk/NgnS55GrJmv/SyVL L9iTko4rMCVDzsK/e+AmsAkbeU7QMHTxlWyjA4spJ2iZfXzqOGfrLu4Mr/gT3v5vsD/cP2vb9u20 V/ErsqbZBHzplQO9gr1yxjot0jQwYT7nzBQYtmOEtzUsf8O9yyckktlcemb2TC09RbvASY4Rcy3d TC05lrFi/Elbvl005diRv5G/Wwp9ov9bmr8BNIePHMmMqO7htVpEw9XTgTU9fwM09HJdAQ5v8mK6 t/UiCJKBCJmhE6aw+BuiMGnYOkR1A7X3dKu2+Qgnf0vfBDvFHYcwFWgXPhKF4shN7Gssyg5BD+Tv pvzlaF1tKTuFQjgE5TCI3AD/6xFGYj74SGBo2jvjpr13ABPXbt25O9sngXPRBVuBGvkbCo+1CT1/ +So1DoHmh0sOLk5IWpSQtH3bVmbakIKi9fLh66h9WfwNtwWBhT0sc6Q2AaZzcnKi4xNXrFjJNAiZ BOdrS4JeGs//TfqsoK77/PkzZq+2bd0CvUpdvuLC+XO0Y+/fvbNzduu+/CpTyYblb5Hs0VsysnNo rnTo1W+//QYb11+7eoXudcp6AYL83bq+3a23t8jfyN/I3y1FARZ/Q/zi8BEjIOZ7wHwTyTHXEPh7 yKTpzOWJzcLfcNcDl/lgxbldw3dD4DXJXM7ib4i2HCqvAH5rYAVyfKXrDtEmcN+hN01O/gbChiWb zBvrQBUdSAJD7XxplwgxLcx06cjfrfd3qAl6LrRxfvjgAWeoCZwMj1k8OFEUF9496ZTQ3JYWO3z8 xDjXeAirqL2HtfE3WJjmFvvouWTbds7OVP3pb+PmVUtuLYu/wWDXtCu6FpLechqE4Aq/1NU9/SRA 39j8DY/KajYeb6rvM8rqG/QqPHHpgBB2WvEG52/R84B7/PHT52RdenJeV1+fRqogf9c+2zHypCEU QP5G/m4p9In+bxZ/i1B13IQ+ZqGsA84DgsNONPQu2Vz8DXg9WHEeuKVhTxzSGRZ/97aO5VwQCR2u mb/BwQ9maaQ7CQeXPpihOMjf+KtZgwK9vHLmCPSZXnACXpACPCwhlblZbIcVt2Zr68FHN27fnWTd MPEntGOjhfa+UXF06SQTCt9VVbkFRY5RY++GUwN/g1lYFAG7rD989uKPPyS7exKz4Og9ef6iitCk fXVWaGz+FnvBjRyj4hI4R3rx0mV1fdOvokRb1rOOxuBvaGKUfXTwkgwaa8SU/dWrVyY+4QqzVZG/ 8QbSxAogfyN/I3+3FAWY/N0p/gQAKCy45LwjQLA1rESkafj6mgSDp7xL1EHm0TVi74d1h3EsC7Li v8FLDTZZRuCfkDZBFC8evJXYIeHUJA4Ejo4pF/pYRNAmmPzdYelFWCgJzwlwl2EeXzouhYWYlK0h uh1WbbLaheWS0Apxb4MjHMLK+xn6sux0C9oCZXr4iPcJh4WqpJ+cOoC/vInvrdhci1Mgu1LeJljL 2DJp+apNW7Zm5Bc6+AVP0TToFrqT3dWcSkU1wfw4tne2phFlPZafJ1DW0CHHDA0dOjPZX8Co4slG zgvM7ELjUrLy1mXmFQTFL4VVgPJ69hCvLN3ECEMPanaqqgB2TWaXyXo0VOioqK5j4+EHQ1u9tgCi ri3c/WC3ywGWovRHrANWnU5RlXR1mCnHYtDR2la0USgsnRAd8p/AGGmZfk6i/XdYR8+YA8pmrmau vvFpq3LzC1LSs1xDYtRMbEbYSO4YrCoj9ZypzWlqApKaSfSYsfzGpPmSPo+bXy2HDNwJJzI+HbNA HOnONA6LVcYLbebqmboFRUQnLY1PXeEaEDJXx3CCgSijlNxciXG5udotbuo2hLcVB9XSFED+bh7+ nqY9K315v+wMPFABiQIZ6f0UNZXIPQICTgA6SQIE6YOwdV/jQPIRbEwD2foAapkeYsD3IZNndEo8 xf75l7H+sktUMbQI+VVYbuYRw4cB7tMU2iz+Zhln8nf/BbYQFN4uRyqNtyij4sxB09VJ3pUP7U5h tQvgDgqQFIe9raIB0MHPJ63DAFVTCAQnfQPcHzJVRTqVIYSpwHmSyg0PVKB9+l14SIMUeMDHzPgl ljJdw/fAk2rjyQVA2SV8T3ffdQCyXUN3Sq8brkfTMMnhoRQMAmu2nAnP7BXwdIOMtB7ikCpwr+i8 6GjXsN1dQ7aJrj7u5IV3xeZTAPm7eX6SRXdJ/yLIfIwHKiBRwL+Ipvmr9w9Mq67YT9+Lc/ueVj0o 7DwqgAqgAqgAKsBSAPm7efgbJyIqgApIKwBhJ+CDH6gi5PR2o2KoACqACqACqMDnoQDyN/I3KoAK tCQFcp9CSAkEnX8ed1gcBSqACqACqAAqIK0A8ndLIo/mi0PC7wYq0LwKdI45/LWGVV/TENiGE/KF Qwqz5u0Pto4KoAKoACqACjSeAsjfyN+oACrQIhSAHAsQ/t49oIhuD954Nz60jAqgAqgAKoAKNKMC yN8tgjyacQZg06gAKoAKoAKoACqACqACTakA8jfyNyqACqACqAAqgAqgAqgAKtB0CiB/N53WTflc hW2hAqgAKoAKoAKoACqACrRMBZC/kb9RAVQAFUAFUAFUABVABVCBplMA+bvptG6ZT2DYK1QAFUAF UAFUABVABVCBplQA+Rv5GxVABVABVAAVQAVQAVQAFWg6BZC/m07rpnyuwrZQAVQAFUAFUAFUABVA BVqmAhL+7hx7+IuVd/BABVABVAAVQAVQAVQAFUAFUIHGU6BzzCEdM5t24TGLBKbWeKACqAAqgAqg AqgAKoAKoAKoQGMrEB6z+P8BH475AvuWCXgAAAAASUVORK5CYII= ------=_NextPart_000_0000_01CBB960.8FBE6650 Content-Type: image/gif Content-Transfer-Encoding: base64 Content-Location: http://www.infiniumautomacao.com.br/sgr/arquivos/ellipsoid.gif R0lGODdhkAGfAPcAAAAAAAAAQAAAgAAA/wAgAAAgQAAggAAg/wBAAABAQABAgABA/wBgAABgQABg gABg/wCAAACAQACAgACA/wCgAACgQACggACg/wDAAADAQADAgADA/wD/AAD/QAD/gAD//yAAACAA QCAAgCAA/yAgACAgQCAggCAg/yBAACBAQCBAgCBA/yBgACBgQCBggCBg/yCAACCAQCCAgCCA/yCg ACCgQCCggCCg/yDAACDAQCDAgCDA/yD/ACD/QCD/gCD//0AAAEAAQEAAgEAA/0AgAEAgQEAggEAg /0BAAEBAQEBAgEBA/0BgAEBgQEBggEBg/0CAAECAQECAgECA/0CgAECgQECggECg/0DAAEDAQEDA gEDA/0D/AED/QED/gED//2AAAGAAQGAAgGAA/2AgAGAgQGAggGAg/2BAAGBAQGBAgGBA/2BgAGBg QGBggGBg/2CAAGCAQGCAgGCA/2CgAGCgQGCggGCg/2DAAGDAQGDAgGDA/2D/AGD/QGD/gGD//4AA AIAAQIAAgIAA/4AgAIAgQIAggIAg/4BAAIBAQIBAgIBA/4BgAIBgQIBggIBg/4CAAICAQICAgICA /4CgAICgQICggICg/4DAAIDAQIDAgIDA/4D/AID/QID/gID//6AAAKAAQKAAgKAA/6AgAKAgQKAg gKAg/6BAAKBAQKBAgKBA/6BgAKBgQKBggKBg/6CAAKCAQKCAgKCA/6CgAKCgQKCggKCg/6DAAKDA QKDAgKDA/6D/AKD/QKD/gKD//8AAAMAAQMAAgMAA/8AgAMAgQMAggMAg/8BAAMBAQMBAgMBA/8Bg AMBgQMBggMBg/8CAAMCAQMCAgMCA/8CgAMCgQMCggMCg/8DAAMDAQMDAgMDA/8D/AMD/QMD/gMD/ //8AAP8AQP8AgP8A//8gAP8gQP8ggP8g//9AAP9AQP9AgP9A//9gAP9gQP9ggP9g//+AAP+AQP+A gP+A//+gAP+gQP+ggP+g///AAP/AQP/AgP/A////AP//QP//gP///yH5BAAAAAAALAAAAACQAZ8A AAj/AP8JHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIEOKHEmypMmTKFOqXMmypcuX MGPKnEmzps2bOHPq3Mmzp8+fQIMKHUq0qNGjSJMqXcq0qdOnUKNKnUq1qtWrWLNq3cq1q9evYMOK HUu2rNmzaNOqXcu2rdu3cOPKnUu3KIC7dxUCKLiXYN+BfzkGrkv46+CEh/kqLsy48WKGif0+dkyZ 8GG8AvPi7csZ87/NmfN+/jxYtGfSmkNzJl25tVLQozPH/ru3NuDYo2mzxj37tm7bsk27Hm73MfDf uIHnBq37NurUwZNLJ04daGnfsqMjjy45e/br2rF7OK9OXif43N5tb0fPnffq9urF8y5Pv+Zl4c+/ e4a933l60fl19t589RX4VmQGJigXbAo26OCDEEYo/+GEFFZo4YUYcnVahhxuxWCHIF61YYgkSvVh iSg6NWKKLCZ1Yosw2gVgjDQO9WKNOPK0Yo484nRjUJsFKeSQRBZp5JFF9ijijCsh6eQ2UEYp5ZRU VmnllVhmGaWTSCrZ048WcXmXlmSWaeaZaKZZppgIthbkfG3utKNeSKpp55145qknnk5S1px/Qp14 5J6EFmrooYhqeSRcgf1pI5GJRirppJROmqRZ18U5U5HbbFbpp6CGKiqfRH7J32QPXeajkFniNeqr sMYqK5VD2tQonBNlCtOQaXo666/ABltprS7dOp1ExhI4Eqt7uirss9BGW6iQKSWrHLKAKiuYr4hy K3Xtt+CGuyaYG73ZHUWOahumt5aOKe678MY7pbkdWatuTOyCmq+8/PYbLbkRGZvurs7OWrC/CCf8 LMCQSXZeS/vKGrHCFFcsKsMH3fpwte6CC4DFIIcc65zWdSzyySinbCfJOR2s8sswx3wly5t+LPPN OOcMJZP/NJms889Ao8zzSz4HbfTRFQ+tUtFIN+10v0qLZNrTVFftr6b11mb11lyLO6DUTHct9tgj 05xR2GSnrfawUZdr89pwxy2p2RihLffdeKNJ90Vs9u3334AHLvjghBdu+OGIJ6743yTZnffjUr79 +N7rQm45lpLnTXlFLl/ueeZ3Y8y31p6X3inktbWt0dSmXw463AI2TtvrrcM+pUJVA7g5uqXRXjvZ mePuNJO755qY479bHTy9/zQ9dPHIIoh88sPfnuzRUUMP0bUZT0990MufCzTN2qc6HmLef49z+P7l vDd0IH0NWfrqv7z8hzLvLr9g2To0cf0wY593VCY644Rkd2AB6xwACWg98YWsgAhB4OpC4zb6LZBf AsRN0spnkM4cEH7bUuAFEZbBv1wNgqkCIf8wg7V1iXCE7wpeQuDFvI+kjnurmx1KmAVDr91uhv+q 4bJ06JHjtDB+POxhsHwXRCHucDZHNB8Fo1gSXikRVkyUGLU2BRgc/9ZtN6rDF6SuODeDlco8YKRi Q07DwWKNkYx8+tSlAqW7MG6vi/s7yqDg2CpCLWops8sj56boxag86YpZ3FmXrOJBFY6ud2VhU+nY RJYR2dF/XWSNGsdSOIoVbi46dOQgVSNB+izulFtUUCBLGbDdTNFLgWKUKzV5tuddEpYx2lEb9XPD 8+HSS7HrzxfxeK5fwrJRM9pkB1FDTGUac2kHYqZq7uW/7N3ymSQiWRs9SEpfagibeqRgN6nZMGKi qivOBCe+/MKzdN4wkP37poHSKaL8TNObKaQTOaeCQnXWTJ/uXOM1m8JKf7ZMoMqMIj2NUlDXLJQq CkXXHeW5T4P2bECi1GmoRTdqvIFy9KMZeihIR8qjXZKULx4NUT9Pur0VibQ8K2WpC18KU1Ta9KY4 zalOFYeimMqUdymlkE9/SqeggnbIqERlJ02TytSmOvWpFRoqVI2p0alaNFlWZSlWs0rSrXIVpF79 KkfDKtarxrOsVzUpWtfK1ramSK1u5SRSkTjXuK5Fqo9cql3ZgtcU7vSvgA2sYAdL2MIK7iR93euB 4NpRvSo2LIkN4WMZw9jJWvaymM2sZjfL2c569rOgDa1oR0sZ2tKa9rSoTa1qV8va1rr2tbCNrWxn u5CAAAA7 ------=_NextPart_000_0000_01CBB960.8FBE6650 Content-Type: image/gif Content-Transfer-Encoding: base64 Content-Location: http://www.infiniumautomacao.com.br/sgr/arquivos/diffraction.gif R0lGODdhkAGfAPcAAAAAAAAAQAAAgAAA/wAgAAAgQAAggAAg/wBAAABAQABAgABA/wBgAABgQABg gABg/wCAAACAQACAgACA/wCgAACgQACggACg/wDAAADAQADAgADA/wD/AAD/QAD/gAD//yAAACAA QCAAgCAA/yAgACAgQCAggCAg/yBAACBAQCBAgCBA/yBgACBgQCBggCBg/yCAACCAQCCAgCCA/yCg ACCgQCCggCCg/yDAACDAQCDAgCDA/yD/ACD/QCD/gCD//0AAAEAAQEAAgEAA/0AgAEAgQEAggEAg /0BAAEBAQEBAgEBA/0BgAEBgQEBggEBg/0CAAECAQECAgECA/0CgAECgQECggECg/0DAAEDAQEDA gEDA/0D/AED/QED/gED//2AAAGAAQGAAgGAA/2AgAGAgQGAggGAg/2BAAGBAQGBAgGBA/2BgAGBg QGBggGBg/2CAAGCAQGCAgGCA/2CgAGCgQGCggGCg/2DAAGDAQGDAgGDA/2D/AGD/QGD/gGD//4AA AIAAQIAAgIAA/4AgAIAgQIAggIAg/4BAAIBAQIBAgIBA/4BgAIBgQIBggIBg/4CAAICAQICAgICA /4CgAICgQICggICg/4DAAIDAQIDAgIDA/4D/AID/QID/gID//6AAAKAAQKAAgKAA/6AgAKAgQKAg gKAg/6BAAKBAQKBAgKBA/6BgAKBgQKBggKBg/6CAAKCAQKCAgKCA/6CgAKCgQKCggKCg/6DAAKDA QKDAgKDA/6D/AKD/QKD/gKD//8AAAMAAQMAAgMAA/8AgAMAgQMAggMAg/8BAAMBAQMBAgMBA/8Bg AMBgQMBggMBg/8CAAMCAQMCAgMCA/8CgAMCgQMCggMCg/8DAAMDAQMDAgMDA/8D/AMD/QMD/gMD/ //8AAP8AQP8AgP8A//8gAP8gQP8ggP8g//9AAP9AQP9AgP9A//9gAP9gQP9ggP9g//+AAP+AQP+A gP+A//+gAP+gQP+ggP+g///AAP/AQP/AgP/A////AP//QP//gP///yH5BAAAAAAALAAAAACQAZ8A AAjnAP8JHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIEOKHEmypMmTKFOqXMmypcuX MGPKnEmzps2bOHPq3Mmzp8+fQIMKHUq0qNGjSJMqXcq0qdOnUKNKnUq1qtWrWLNq3cq1q9enAL6K HUvWYdiyaNOSPau2rdusbN/Knes0Lt27eEHa/bg3r9+/FftyFAy4sOGFhDUmPsy48eKLjxtLBhw5 8OTLlytP1Iy5c1vOEkF7Hj1W9EPTpFNzRd2QterXVl0rlA27dlTaCHHb3r1Ud0HfvIMbBT6QuPDj QI0bf7l8/zbyos1ze4weGnJK6s6fY8T+u2Nz0LS5d1cp/nX5f8qnV7d4XmB7gu9Jn4+//vR2lPTR a/d+Mr/Z+hS9R59/8vWXE3jW4ccSgQWaxKB0EIWn4EoPjtZehePZx951FOZlFwAgwgdiiMWNOKKI Jp5YookoqoheinHB2KKLL7LoXoY12ugeiTsuRhiCCTrYoYdBXTghhBpaZuCQd9HYk5GKJfZjRLIJ yGSTPP4EZWApImmQaFUeKSZdYZUp1JahwdjXlBEGWVJ+GPpkpn5FLpmmml8mBOSGdo6JV5yb9dma mk7SedCeAfr5pmFWDiYoQ4RmaWiebfIp5JV+xUfcfGZFWtCol625SdKAh5Hq6KWQehoZooE+umip mGbEKWKqSnpopZaOuuBcUu7KH0y16ggqpKKOZKpcvfp6KoXByqhYsSIdi2x2yj7bUrPO3persbG6 VeaaLqVHnozNygptSNIie9ZeDIrbH6E5eqqtkq9y+GdxlIarnoPOYmsrromiquhbbLHLF5X7Gttl udkivC235GWKL47LhpqwXl326O+/xD6MbrfT3kjxRqxay9fG5DZsMb26RtxZdCWbOx3K2AIMYMv2 YkZdzPOSTDOe8HbMMsQ5/+scrcMXy3riz7USjfPAjsl8q80k+8x0zUcLrLXRUuf738FR1tx0vFnX C3XUXY8s9K/bXR20sGw/7WpmVQ+L2MeQ0axxv5+aLLfZFtZtN7VxB4jyi/HaCLfgfwPuGWsGD054 xXcerqrGem3t+OMPs0m131QevjeLeCZd9twvd67nzZR3+nPilxd+OuqSrTsp0hNP/Tnoqb4O+8J9 ewx20QVyvHru8B2/e9q0Wv4t0M9vSnvmtQUPauS6L9+znm7f6G/r1BOvmmkfeq323Xhz373evId/ 9n7I3y5/8riPejXibuM26/vaxTiy59obzOWil7L8SWhzTmNd6uIHLslN7v9kBoxgmBCYwPq9rHz0 y2D2voYusX0PeCGS19DSNz1ajW9+6NsgB2fmwd9Br4BBa1XjKogwQPVGZIxLkncM6EKGke1AIPua DZViu9tI8IjWY47LlDREpBRMKkjM3w9toqkgNfEoTzTixnoYLC4uLibpqs8VoXO+4XiRYVssFxWX GLD4oc2NTpRi04D3u8TVpIqiGuNQsqTHzUSwh3QKIfvAGMTT+I9ugTQeUXjIRfyti4CQVKT4Zlip R/ZRSzlCIXTWVzCg5WaAX2Sj5qpDusyQqIi98R2KAJk7EAoyY9UaZeiKeEk5ZVGTm/zejEY3Jx5Z 8oelK6T7uNTK2u1IZLUSnGUkYbkiUKZMP5DkpSgpWEla/xoTX6gkItaO6cIzSrGEpmsjNHHIqDzN KZVdnNgp08hIWZJwhGZKJhB/k804Lu2ZU/yWI11pSVVS8p3wrCdlRHRMefbulTCkYzy7GEJvqmyY 1MTdOnHJKw1y056ChF2N8AfNZS5zo40M5uwiqkN2GfSOFyVoUhKqIo+WMo096iYzhwdOIa7ppDPR 55fOmcuWQi+T+nxeM8kWz2byc6ZOrNq/GlqYjJYIjsmBIVAjNdQ58jGRMk1inXyGuKeSk0gtMl+R XsjSUxI1khtdVeyImMPF4RRYBLXVW6vK0LIaVV46+tBasVgxp1qUTF4NLEV1wkmfBhWNVFUjXwUn qatKzP94Zq1TFBMrR5dKUk6OgqxAeXVZrdJkss9U6P3GRkYBPsazZemkCZ8EWrw6qbAxLI1gDzXX WMo1sgeCrWvhxcfXkVYset3pZj/zSZBCFYytdR4voyhb2hr3qwT75FJvcsR93m+5o6XqVgTzxdr6 iUaN/ewfgZpWymayo1NlGna9K86Yzpa9qAqeL3MqQUO9FKENdWY6y5tX7V6lkz+6ZXRRi9tw8TZj 5kXwX/FbXvotrav0TOl6//vc2Qw3teS77JuyNdPdckxKpatngbkUyrpkGL4YS66KV8ziFrv4xS7G MIxnTOMa2/jGLUYLjnfM4x77+MeohZ+Qh0zkIhv5yEgLTrKSl8zkJjv5yVDDjrKUp0zlKlv5ylhW i4Z5s+XdBJkqXxauKVG8yDBjpcvntRCZWYvmr8jXzIxqs4eATOctOrTOeL7u4+Ds5tvK2TF/pkyg 4aLWNecWOSXuipkT3dRBX3At+jP0tSSd5Upb+tKYzrSmN10VuPGZ06BG2i0pfWm3puaQfw31Vu3r 6JBBl9SWRvVgy8lAVS+WnLCGK/JyHWsN8lpfxbT1rSf162sFW9hm3PWpwctoZONEwLN2trSbh71p W/va2M62trfN7W57G/vb4A63uMdN7nKb+9zoTre6183udrv73c4OCAA7 ------=_NextPart_000_0000_01CBB960.8FBE6650--