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  <title>UC Research Repository Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/10092/183" />
  <subtitle />
  <id>http://hdl.handle.net/10092/183</id>
  <updated>2013-04-17T07:47:25Z</updated>
  <dc:date>2013-04-17T07:47:25Z</dc:date>
  <entry>
    <title>Guía para la identificación de atributos para definir Bosques de Alto Valor de Conservación en Bolivia (A Guide for Identifying High Conservation Value Forests)</title>
    <link rel="alternate" href="http://hdl.handle.net/10092/5252" />
    <author>
      <name>Rumiz, D.I.</name>
    </author>
    <author>
      <name>Mostacedo, B.</name>
    </author>
    <author>
      <name>Cochrane, T.A.</name>
    </author>
    <author>
      <name>Rozo, B.</name>
    </author>
    <id>http://hdl.handle.net/10092/5252</id>
    <updated>2011-12-07T11:34:42Z</updated>
    <published>2004-01-01T00:00:00Z</published>
    <summary type="text">Title: Guía para la identificación de atributos para definir Bosques de Alto Valor de Conservación en Bolivia (A Guide for Identifying High Conservation Value Forests)
Authors: Rumiz, D.I.; Mostacedo, B.; Cochrane, T.A.; Rozo, B.
Abstract: National Interpretations of the High Conservation Value Forest (HCVF) Toolkit provide a practical methodology to be used on a routine basis to identify High Conservation Value Forests. They also provide guidance on what types of management and monitoring are necessary if such a forest has been identified.</summary>
    <dc:date>2004-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The state-of-art of underwater vehicles - Theories and applications</title>
    <link rel="alternate" href="http://hdl.handle.net/10092/4130" />
    <author>
      <name>Wang, W.H.</name>
    </author>
    <author>
      <name>Engelaar, R.C.</name>
    </author>
    <author>
      <name>Chen, X.Q.</name>
    </author>
    <author>
      <name>Chase, J.G.</name>
    </author>
    <id>http://hdl.handle.net/10092/4130</id>
    <updated>2010-07-20T21:14:02Z</updated>
    <published>2009-01-01T00:00:00Z</published>
    <summary type="text">Title: The state-of-art of underwater vehicles - Theories and applications
Authors: Wang, W.H.; Engelaar, R.C.; Chen, X.Q.; Chase, J.G.
Editors: Chen, X.Q.
Abstract: An autonomous underwater vehicle (AUV) is an underwater system that contains its own&#xD;
power and is controlled by an onboard computer. Although many names are given to these&#xD;
vehicles, such as remotely operated vehicles (ROVs), unmanned underwater vehicles&#xD;
(UUVs), submersible devices, or remote controlled submarines, to name just a few, the&#xD;
fundamental task for these devices is fairly well defined: The vehicle is able to follow a&#xD;
predefined trajectory.&#xD;
AUVs offer many advantages for performing difficult tasks submerged in water. The main&#xD;
advantage of an AUV is that is does not need a human operator. Therefore it is less&#xD;
expensive than a human operated vehicle and is capable of doing operations that are too&#xD;
dangerous for a person. They operate in conditions and perform task that humans are not&#xD;
able to do efficiently, or at all (Smallwood &amp; Whitcomb, 2004; Horgan &amp; Toal, 2006; Caccia,&#xD;
2006).</summary>
    <dc:date>2009-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Cable-Climbing Robots for Power Line Inspection</title>
    <link rel="alternate" href="http://hdl.handle.net/10092/4129" />
    <author>
      <name>Nayyerloo, M.</name>
    </author>
    <author>
      <name>Chen, X.Q.</name>
    </author>
    <author>
      <name>Wang, W.H.</name>
    </author>
    <author>
      <name>Chase, G.</name>
    </author>
    <id>http://hdl.handle.net/10092/4129</id>
    <updated>2010-07-20T21:07:47Z</updated>
    <published>2009-01-01T00:00:00Z</published>
    <summary type="text">Title: Cable-Climbing Robots for Power Line Inspection
Authors: Nayyerloo, M.; Chen, X.Q.; Wang, W.H.; Chase, G.
Editors: Chen, X.Q.
Abstract: Power transmission line inspection is of utmost importance for power companies towards&#xD;
having sustainable electricity supply to vast number of customers in major industries as&#xD;
well as households in a city. Inspection provides valuable data from status of the line, thus&#xD;
helps line engineers to plan for necessary repair or replacement works before any major&#xD;
damages which may result in outage.&#xD;
Constant energy supply to the customers requires performing all the inspection tasks&#xD;
without de-energizing the line, so live line inspection methods are of the most interest to&#xD;
power companies. These companies perform patrol inspection mainly using helicopters&#xD;
equipped with infrared and corona cameras to detect observable physical damages as well&#xD;
as some internal deterioration to the line and line equipment. However, aerial inspection is&#xD;
costly and always there is a risk of contact with live lines and loss of life. Moreover, there are&#xD;
some critical specifications of the line such as internal corrosion of steel reinforced&#xD;
aluminium conductors that should be inspected precisely from close distances to the line&#xD;
that are not accessible by a mobile platform such as a helicopter or even an unmanned aerial&#xD;
vehicle (UAV). Hence, power companies have endeavored to make especial cable-climbing&#xD;
robots to accomplish inspection tasks from close distances to the hot line.&#xD;
Thanks to technological advances, utilizing robots as reliable substitutes for human beings&#xD;
in hazardous environments such as live lines has become possible. For many tasks requiring&#xD;
high precision over a long period of time, robots even do their job better than human&#xD;
operators. However, power companies have mainly focused on automating inspection tasks&#xD;
more willingly than making autonomous systems to perform repair works on the live line&#xD;
due to the fact that repair works are often complex to be accomplished by a robot.</summary>
    <dc:date>2009-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Semantic Integration of Adaptive Educational Systems</title>
    <link rel="alternate" href="http://hdl.handle.net/10092/3347" />
    <author>
      <name>Sosnovsky, S.</name>
    </author>
    <author>
      <name>Brusilovsky, P.</name>
    </author>
    <author>
      <name>Yudeslon, M.</name>
    </author>
    <author>
      <name>Mitrovic, A.</name>
    </author>
    <author>
      <name>Mathews, M.</name>
    </author>
    <author>
      <name>Kumar, A.</name>
    </author>
    <id>http://hdl.handle.net/10092/3347</id>
    <updated>2010-03-30T21:07:25Z</updated>
    <published>2009-01-01T00:00:00Z</published>
    <summary type="text">Title: Semantic Integration of Adaptive Educational Systems
Authors: Sosnovsky, S.; Brusilovsky, P.; Yudeslon, M.; Mitrovic, A.; Mathews, M.; Kumar, A.
Editors: Kuflik, T.; Berkovsky, S.; Heckmann, D.
Abstract: With the growth of adaptive educational systems available to students,&#xD;
integration of these systems is evolving from an interesting research&#xD;
problem into an important practical task. One of the challenges that needs to be addressed is the development of mechanisms for student model integration. The architectural principles and representation technologies employed by adaptive educational systems define the applicability of a particular integration approach. This chapter reviews the existing mechanisms and details one of them: the evidence integration.
Description: The original publication is available at http://www.springerlink.com</summary>
    <dc:date>2009-01-01T00:00:00Z</dc:date>
  </entry>
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