….here you will find code and sketches from numerous projects that you can learn from and hack into whatever you may need….
/*
*
- note pitch (ranges from
- c 1915
- d 1700
- e 1519
- f 1432
- g 1275
- a 1136
- b 1014
- C 956
*/
// define input/output pins
int speakerPin = 9;
int ledPin = 13;
int potPin = A0;
int sensorPin = A1;
// define variables
int pitch;
int rawSensor;
int modSensor;
int rawPot;
int modPot;
void setup() {
pinMode(speakerPin, OUTPUT);
pinMode(ledPin, OUTPUT);
}
void loop() {
// read the raw signal from the sensor pin
rawPot = analogRead(potPin);
rawSensor = analogRead(sensorPin);
// map the raw values to a new range
modPot = map(rawPot, 0, 1023, 500, 10);
modSensor = map(rawSensor, 0, 1023, 500, 10);
// constrain the values to avoid unexpected values
modPot = constrain(modPot, 10, 500);
modSensor = constrain(modSensor, 10, 500);
// turn on LED
digitalWrite(ledPin, HIGH);
playTone(modPot, 50); // playTone(pitch, duration);
// turn off LED
digitalWrite(ledPin, LOW);
// add a delay
delay(modSensor);}
void playTone(int pitch, int duration) {
for (long i = 0; i < duration * 1000L; i += pitch * 2) {
digitalWrite(speakerPin, HIGH);
delayMicroseconds(pitch);
digitalWrite(speakerPin, LOW);
delayMicroseconds(pitch);
}
}
%PDF-1.5
%����
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</ON[5 0 R]/Order 6 0 R/RBGroups[]>>/OCGs[5 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 52544/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.3-c011 66.145661, 2012/02/06-14:56:27 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">skem2</rdf:li>
</rdf:Alt>
</dc:title>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/">
<xmp:MetadataDate>2013-06-11T12:51:46-07:00</xmp:MetadataDate>
<xmp:ModifyDate>2013-06-11T12:51:46-07:00</xmp:ModifyDate>
<xmp:CreateDate>2013-06-11T12:51:46-07:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator CS6 (Windows)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>256</xmpGImg:width>
<xmpGImg:height>192</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEBLAEsAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABABLAAAAAEA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</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#">
<xmpMM:InstanceID>uuid:96d12979-139d-4b39-8670-696ef54894a3</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:8CDA4256D0D2E2119801FDBB57EF4C83</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>uuid:ba5dc92b-6d0a-484a-ab90-b9370a4a0965</stRef:instanceID>
<stRef:documentID>xmp.did:0980117407206811822A897E387FE54C</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>proof:pdf</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:8CDA4256D0D2E2119801FDBB57EF4C83</stEvt:instanceID>
<stEvt:when>2013-06-11T12:51:41-07:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CS6 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/">
<illustrator:Type>Document</illustrator:Type>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/">
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>False</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>11.000000</stDim:w>
<stDim:h>17.000000</stDim:h>
<stDim:unit>Inches</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Cyan</rdf:li>
<rdf:li>Magenta</rdf:li>
<rdf:li>Yellow</rdf:li>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Default Swatch Group</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>White</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>255</xmpG:green>
<xmpG:blue>255</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Black</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Red</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Yellow</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>0</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Green</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>166</xmpG:green>
<xmpG:blue>81</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Cyan</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>174</xmpG:green>
<xmpG:blue>239</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Blue</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>46</xmpG:red>
<xmpG:green>49</xmpG:green>
<xmpG:blue>146</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Magenta</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>236</xmpG:red>
<xmpG:green>0</xmpG:green>
<xmpG:blue>140</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>190</xmpG:red>
<xmpG:green>30</xmpG:green>
<xmpG:blue>45</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>239</xmpG:red>
<xmpG:green>65</xmpG:green>
<xmpG:blue>54</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>90</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>247</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>30</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>251</xmpG:red>
<xmpG:green>176</xmpG:green>
<xmpG:blue>64</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>249</xmpG:red>
<xmpG:green>237</xmpG:green>
<xmpG:blue>50</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>215</xmpG:red>
<xmpG:green>223</xmpG:green>
<xmpG:blue>35</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>141</xmpG:red>
<xmpG:green>198</xmpG:green>
<xmpG:blue>63</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>57</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>74</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>68</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>104</xmpG:green>
<xmpG:blue>56</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>182</xmpG:green>
<xmpG:blue>115</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>167</xmpG:green>
<xmpG:blue>157</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>39</xmpG:red>
<xmpG:green>170</xmpG:green>
<xmpG:blue>225</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>28</xmpG:red>
<xmpG:green>117</xmpG:green>
<xmpG:blue>188</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>144</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>38</xmpG:red>
<xmpG:green>34</xmpG:green>
<xmpG:blue>98</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>102</xmpG:red>
<xmpG:green>45</xmpG:green>
<xmpG:blue>145</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>146</xmpG:red>
<xmpG:green>39</xmpG:green>
<xmpG:blue>143</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>158</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>99</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>218</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>92</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>238</xmpG:red>
<xmpG:green>42</xmpG:green>
<xmpG:blue>123</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>194</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>155</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>155</xmpG:red>
<xmpG:green>133</xmpG:green>
<xmpG:blue>121</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>114</xmpG:red>
<xmpG:green>102</xmpG:green>
<xmpG:blue>88</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>89</xmpG:red>
<xmpG:green>74</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>196</xmpG:red>
<xmpG:green>154</xmpG:green>
<xmpG:blue>108</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>169</xmpG:red>
<xmpG:green>124</xmpG:green>
<xmpG:blue>80</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>139</xmpG:red>
<xmpG:green>94</xmpG:green>
<xmpG:blue>60</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>117</xmpG:red>
<xmpG:green>76</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>96</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>19</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>60</xmpG:red>
<xmpG:green>36</xmpG:green>
<xmpG:blue>21</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Grays</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>65</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>88</xmpG:red>
<xmpG:green>89</xmpG:green>
<xmpG:blue>91</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>109</xmpG:red>
<xmpG:green>110</xmpG:green>
<xmpG:blue>113</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>128</xmpG:red>
<xmpG:green>130</xmpG:green>
<xmpG:blue>133</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>147</xmpG:red>
<xmpG:green>149</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>167</xmpG:red>
<xmpG:green>169</xmpG:green>
<xmpG:blue>172</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>188</xmpG:red>
<xmpG:green>190</xmpG:green>
<xmpG:blue>192</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>209</xmpG:red>
<xmpG:green>211</xmpG:green>
<xmpG:blue>212</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>230</xmpG:red>
<xmpG:green>231</xmpG:green>
<xmpG:blue>232</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>242</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Brights</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>242</xmpG:red>
<xmpG:green>101</xmpG:green>
<xmpG:blue>34</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>222</xmpG:green>
<xmpG:blue>23</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>161</xmpG:green>
<xmpG:blue>75</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>33</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>154</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>127</xmpG:red>
<xmpG:green>63</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<pdf:Producer>Adobe PDF library 10.01</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[7 0 R]/Type/Pages>>
endobj
7 0 obj
<</ArtBox[0.0 116.568 792.0 1150.79]/BleedBox[0.0 0.0 792.0 1224.0]/Contents 8 0 R/LastModified(D:20130611125144-07'00')/MediaBox[0.0 0.0 792.0 1224.0]/Parent 3 0 R/PieceInfo<</Illustrator 9 0 R>>/Resources<</ColorSpace<</CS0 10 0 R>>/ExtGState<</GS0 11 0 R>>/ProcSet[/PDF/ImageC]/Properties<</MC0 5 0 R>>/XObject<</Im0 12 0 R>>>>/Thumb 13 0 R/TrimBox[0.0 0.0 792.0 1224.0]/Type/Page>>
endobj
8 0 obj
<</Filter/FlateDecode/Length 193>>stream
H�D�;NA D�>E] /*
*
*
*
* note pitch (ranges from
* c 1915
* d 1700
* e 1519
* f 1432
* g 1275
* a 1136
* b 1014
* C 956
*
*
*/
// define input/output pins
int speakerPin = 9;
int ledPin = 13;
int potPin = A0;
int sensorPin = A1;
// define variables
int pitch;
int rawSensor;
int modSensor;
int rawPot;
int modPot;
void setup() {
pinMode(speakerPin, OUTPUT);
pinMode(ledPin, OUTPUT);
}
void loop() {
// read the raw signal from the sensor pin
rawPot = analogRead(potPin);
rawSensor = analogRead(sensorPin);
// map the raw values to a new range
modPot = map(rawPot, 0, 1023, 500, 10);
modSensor = map(rawSensor, 0, 1023, 500, 10);
// constrain the values to avoid unexpected values
modPot = constrain(modPot, 10, 500);
modSensor = constrain(modSensor, 10, 500);
// turn on LED
digitalWrite(ledPin, HIGH);
playTone(modPot, 50); // playTone(pitch, duration);
// turn off LED
digitalWrite(ledPin, LOW);
// add a delay
delay(modSensor);
}
void playTone(int pitch, int duration) {
for (long i = 0; i < duration * 1000L; i += pitch * 2) {
digitalWrite(speakerPin, HIGH);
delayMicroseconds(pitch);
digitalWrite(speakerPin, LOW);
delayMicroseconds(pitch);
}
}
%PDF-1.5
%����
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</ON[5 0 R]/Order 6 0 R/RBGroups[]>>/OCGs[5 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 52544/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.3-c011 66.145661, 2012/02/06-14:56:27 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">skem2</rdf:li>
</rdf:Alt>
</dc:title>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/">
<xmp:MetadataDate>2013-06-11T12:51:46-07:00</xmp:MetadataDate>
<xmp:ModifyDate>2013-06-11T12:51:46-07:00</xmp:ModifyDate>
<xmp:CreateDate>2013-06-11T12:51:46-07:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator CS6 (Windows)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>256</xmpGImg:width>
<xmpGImg:height>192</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEBLAEsAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABABLAAAAAEA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</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#">
<xmpMM:InstanceID>uuid:96d12979-139d-4b39-8670-696ef54894a3</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:8CDA4256D0D2E2119801FDBB57EF4C83</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>uuid:ba5dc92b-6d0a-484a-ab90-b9370a4a0965</stRef:instanceID>
<stRef:documentID>xmp.did:0980117407206811822A897E387FE54C</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>proof:pdf</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:8CDA4256D0D2E2119801FDBB57EF4C83</stEvt:instanceID>
<stEvt:when>2013-06-11T12:51:41-07:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CS6 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/">
<illustrator:Type>Document</illustrator:Type>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/">
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>False</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>11.000000</stDim:w>
<stDim:h>17.000000</stDim:h>
<stDim:unit>Inches</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Cyan</rdf:li>
<rdf:li>Magenta</rdf:li>
<rdf:li>Yellow</rdf:li>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Default Swatch Group</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>White</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>255</xmpG:green>
<xmpG:blue>255</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Black</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Red</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Yellow</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>0</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Green</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>166</xmpG:green>
<xmpG:blue>81</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Cyan</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>174</xmpG:green>
<xmpG:blue>239</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Blue</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>46</xmpG:red>
<xmpG:green>49</xmpG:green>
<xmpG:blue>146</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Magenta</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>236</xmpG:red>
<xmpG:green>0</xmpG:green>
<xmpG:blue>140</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>190</xmpG:red>
<xmpG:green>30</xmpG:green>
<xmpG:blue>45</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>239</xmpG:red>
<xmpG:green>65</xmpG:green>
<xmpG:blue>54</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>90</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>247</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>30</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>251</xmpG:red>
<xmpG:green>176</xmpG:green>
<xmpG:blue>64</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>249</xmpG:red>
<xmpG:green>237</xmpG:green>
<xmpG:blue>50</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>215</xmpG:red>
<xmpG:green>223</xmpG:green>
<xmpG:blue>35</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>141</xmpG:red>
<xmpG:green>198</xmpG:green>
<xmpG:blue>63</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>57</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>74</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>68</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>104</xmpG:green>
<xmpG:blue>56</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>182</xmpG:green>
<xmpG:blue>115</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>167</xmpG:green>
<xmpG:blue>157</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>39</xmpG:red>
<xmpG:green>170</xmpG:green>
<xmpG:blue>225</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>28</xmpG:red>
<xmpG:green>117</xmpG:green>
<xmpG:blue>188</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>144</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>38</xmpG:red>
<xmpG:green>34</xmpG:green>
<xmpG:blue>98</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>102</xmpG:red>
<xmpG:green>45</xmpG:green>
<xmpG:blue>145</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>146</xmpG:red>
<xmpG:green>39</xmpG:green>
<xmpG:blue>143</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>158</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>99</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>218</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>92</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>238</xmpG:red>
<xmpG:green>42</xmpG:green>
<xmpG:blue>123</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>194</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>155</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>155</xmpG:red>
<xmpG:green>133</xmpG:green>
<xmpG:blue>121</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>114</xmpG:red>
<xmpG:green>102</xmpG:green>
<xmpG:blue>88</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>89</xmpG:red>
<xmpG:green>74</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>196</xmpG:red>
<xmpG:green>154</xmpG:green>
<xmpG:blue>108</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>169</xmpG:red>
<xmpG:green>124</xmpG:green>
<xmpG:blue>80</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>139</xmpG:red>
<xmpG:green>94</xmpG:green>
<xmpG:blue>60</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>117</xmpG:red>
<xmpG:green>76</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>96</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>19</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>60</xmpG:red>
<xmpG:green>36</xmpG:green>
<xmpG:blue>21</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Grays</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>65</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>88</xmpG:red>
<xmpG:green>89</xmpG:green>
<xmpG:blue>91</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>109</xmpG:red>
<xmpG:green>110</xmpG:green>
<xmpG:blue>113</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>128</xmpG:red>
<xmpG:green>130</xmpG:green>
<xmpG:blue>133</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>147</xmpG:red>
<xmpG:green>149</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>167</xmpG:red>
<xmpG:green>169</xmpG:green>
<xmpG:blue>172</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>188</xmpG:red>
<xmpG:green>190</xmpG:green>
<xmpG:blue>192</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>209</xmpG:red>
<xmpG:green>211</xmpG:green>
<xmpG:blue>212</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>230</xmpG:red>
<xmpG:green>231</xmpG:green>
<xmpG:blue>232</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>242</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Brights</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>242</xmpG:red>
<xmpG:green>101</xmpG:green>
<xmpG:blue>34</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>222</xmpG:green>
<xmpG:blue>23</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>161</xmpG:green>
<xmpG:blue>75</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>33</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>154</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>127</xmpG:red>
<xmpG:green>63</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<pdf:Producer>Adobe PDF library 10.01</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[7 0 R]/Type/Pages>>
endobj
7 0 obj
<</ArtBox[0.0 116.568 792.0 1150.79]/BleedBox[0.0 0.0 792.0 1224.0]/Contents 8 0 R/LastModified(D:20130611125144-07'00')/MediaBox[0.0 0.0 792.0 1224.0]/Parent 3 0 R/PieceInfo<</Illustrator 9 0 R>>/Resources<</ColorSpace<</CS0 10 0 R>>/ExtGState<</GS0 11 0 R>>/ProcSet[/PDF/ImageC]/Properties<</MC0 5 0 R>>/XObject<</Im0 12 0 R>>>>/Thumb 13 0 R/TrimBox[0.0 0.0 792.0 1224.0]/Type/Page>>
endobj
8 0 obj
<</Filter/FlateDecode/Length 193>>stream
H�D�;NA D�>E]%PDF-1.5
%����
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</ON[6 0 R 30 0 R 53 0 R]/Order 54 0 R/RBGroups[]>>/OCGs[6 0 R 30 0 R 53 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 56621/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.3-c011 66.145661, 2012/02/06-14:56:27 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">Print</rdf:li>
</rdf:Alt>
</dc:title>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/">
<xmp:MetadataDate>2013-06-14T19:28:06-07:00</xmp:MetadataDate>
<xmp:ModifyDate>2013-06-14T19:28:06-07:00</xmp:ModifyDate>
<xmp:CreateDate>2013-06-14T17:40:23-07:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator CS6 (Windows)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>256</xmpGImg:width>
<xmpGImg:height>236</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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=</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#">
<xmpMM:InstanceID>uuid:583af3b4-dc09-4b46-a43f-4c9874a5cbeb</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:8602FE2954D5E211BAF9E5DCE9068D34</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>uuid:ba5dc92b-6d0a-484a-ab90-b9370a4a0965</stRef:instanceID>
<stRef:documentID>xmp.did:0980117407206811822A897E387FE54C</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>proof:pdf</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:8602FE2954D5E211BAF9E5DCE9068D34</stEvt:instanceID>
<stEvt:when>2013-06-14T17:40:23-07:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CS6 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/">
<illustrator:Type>Document</illustrator:Type>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:stFnt="http://ns.adobe.com/xap/1.0/sType/Font#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/">
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>False</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>8.500000</stDim:w>
<stDim:h>11.000000</stDim:h>
<stDim:unit>Inches</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:Fonts>
<rdf:Bag>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>MyriadPro-Regular</stFnt:fontName>
<stFnt:fontFamily>Myriad Pro</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>Open Type</stFnt:fontType>
<stFnt:versionString>Version 2.102;PS 2.000;hotconv 1.0.67;makeotf.lib2.5.33168</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>MyriadPro-Regular.otf</stFnt:fontFileName>
</rdf:li>
</rdf:Bag>
</xmpTPg:Fonts>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Cyan</rdf:li>
<rdf:li>Magenta</rdf:li>
<rdf:li>Yellow</rdf:li>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Default Swatch Group</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>White</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>255</xmpG:green>
<xmpG:blue>255</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Black</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Red</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Yellow</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>0</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Green</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>166</xmpG:green>
<xmpG:blue>81</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Cyan</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>174</xmpG:green>
<xmpG:blue>239</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Blue</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>46</xmpG:red>
<xmpG:green>49</xmpG:green>
<xmpG:blue>146</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Magenta</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>236</xmpG:red>
<xmpG:green>0</xmpG:green>
<xmpG:blue>140</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>190</xmpG:red>
<xmpG:green>30</xmpG:green>
<xmpG:blue>45</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>239</xmpG:red>
<xmpG:green>65</xmpG:green>
<xmpG:blue>54</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>90</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>247</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>30</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>251</xmpG:red>
<xmpG:green>176</xmpG:green>
<xmpG:blue>64</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>249</xmpG:red>
<xmpG:green>237</xmpG:green>
<xmpG:blue>50</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>215</xmpG:red>
<xmpG:green>223</xmpG:green>
<xmpG:blue>35</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>141</xmpG:red>
<xmpG:green>198</xmpG:green>
<xmpG:blue>63</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>57</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>74</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>148</xmpG:green>
<xmpG:blue>68</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>104</xmpG:green>
<xmpG:blue>56</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>182</xmpG:green>
<xmpG:blue>115</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>167</xmpG:green>
<xmpG:blue>157</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>39</xmpG:red>
<xmpG:green>170</xmpG:green>
<xmpG:blue>225</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>28</xmpG:red>
<xmpG:green>117</xmpG:green>
<xmpG:blue>188</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>43</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>144</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>38</xmpG:red>
<xmpG:green>34</xmpG:green>
<xmpG:blue>98</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>102</xmpG:red>
<xmpG:green>45</xmpG:green>
<xmpG:blue>145</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>146</xmpG:red>
<xmpG:green>39</xmpG:green>
<xmpG:blue>143</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>158</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>99</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>218</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>92</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>238</xmpG:red>
<xmpG:green>42</xmpG:green>
<xmpG:blue>123</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>194</xmpG:red>
<xmpG:green>181</xmpG:green>
<xmpG:blue>155</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>155</xmpG:red>
<xmpG:green>133</xmpG:green>
<xmpG:blue>121</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>114</xmpG:red>
<xmpG:green>102</xmpG:green>
<xmpG:blue>88</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>89</xmpG:red>
<xmpG:green>74</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>196</xmpG:red>
<xmpG:green>154</xmpG:green>
<xmpG:blue>108</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>169</xmpG:red>
<xmpG:green>124</xmpG:green>
<xmpG:blue>80</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>139</xmpG:red>
<xmpG:green>94</xmpG:green>
<xmpG:blue>60</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>117</xmpG:red>
<xmpG:green>76</xmpG:green>
<xmpG:blue>41</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>96</xmpG:red>
<xmpG:green>57</xmpG:green>
<xmpG:blue>19</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>60</xmpG:red>
<xmpG:green>36</xmpG:green>
<xmpG:blue>21</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Grays</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>35</xmpG:red>
<xmpG:green>31</xmpG:green>
<xmpG:blue>32</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>65</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>66</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>88</xmpG:red>
<xmpG:green>89</xmpG:green>
<xmpG:blue>91</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>109</xmpG:red>
<xmpG:green>110</xmpG:green>
<xmpG:blue>113</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>128</xmpG:red>
<xmpG:green>130</xmpG:green>
<xmpG:blue>133</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>147</xmpG:red>
<xmpG:green>149</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>167</xmpG:red>
<xmpG:green>169</xmpG:green>
<xmpG:blue>172</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>188</xmpG:red>
<xmpG:green>190</xmpG:green>
<xmpG:blue>192</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>209</xmpG:red>
<xmpG:green>211</xmpG:green>
<xmpG:blue>212</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>230</xmpG:red>
<xmpG:green>231</xmpG:green>
<xmpG:blue>232</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>241</xmpG:red>
<xmpG:green>242</xmpG:green>
<xmpG:blue>242</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Brights</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>237</xmpG:red>
<xmpG:green>28</xmpG:green>
<xmpG:blue>36</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>242</xmpG:red>
<xmpG:green>101</xmpG:green>
<xmpG:blue>34</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>255</xmpG:red>
<xmpG:green>222</xmpG:green>
<xmpG:blue>23</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>0</xmpG:red>
<xmpG:green>161</xmpG:green>
<xmpG:blue>75</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>33</xmpG:red>
<xmpG:green>64</xmpG:green>
<xmpG:blue>154</xmpG:blue>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>RGB</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:red>127</xmpG:red>
<xmpG:green>63</xmpG:green>
<xmpG:blue>152</xmpG:blue>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<pdf:Producer>Adobe PDF library 10.01</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[8 0 R]/Type/Pages>>
endobj
8 0 obj
<</ArtBox[15.54 248.111 596.667 782.366]/BleedBox[0.0 0.0 612.0 792.0]/Contents 55 0 R/LastModified(D:20130614192806-07'00')/MediaBox[0.0 0.0 612.0 792.0]/Parent 3 0 R/PieceInfo<</Illustrator 56 0 R>>/Resources<</ColorSpace<</CS0 57 0 R>>/ExtGState<</GS0 58 0 R>>/Font<</T1_0 52 0 R>>/ProcSet[/PDF/Text]/Properties<</MC0 53 0 R>>>>/Thumb 59 0 R/TrimBox[0.0 0.0 612.0 792.0]/Type/Page>>
endobj
55 0 obj
<</Filter/FlateDecode/Length 557>>stream
H�tT]��0|�W�#������J՝*�VUUU p8����wא^�\ �ٙ�]�����)�a�g�l��ʞ}(
�����'|Tg%�/ 8���� {q ��&�:
����_@��h1�r���n:�]i�Y���� ���ȑ���,cl$�mQ�$s�,u�`^!�j-
� ���[0����E���dq�fW@WYabĈ���ڱ%Oܯ0� �Z��^X�[F�*��|� ���~Y clt%Ab5}�� ���~��-���XEOO$ ���l�^F����|��(���5S�maFU�II����y�'�_��