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  <title>NOPR Collection:</title>
  <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/4776" />
  <subtitle />
  <id>http://nopr.niscpr.res.in/handle/123456789/4776</id>
  <updated>2026-10-09T23:24:21Z</updated>
  <dc:date>2026-10-09T23:24:21Z</dc:date>
  <entry>
    <title>CNG exhausts emission modeling: Neural network approach</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/30656" />
    <author>
      <name>Bhandari, Kirti</name>
    </author>
    <author>
      <name>Sekhar, Ch Ravi</name>
    </author>
    <author>
      <name>Rao, A M</name>
    </author>
    <author>
      <name>Gangopadhyay, S</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/30656</id>
    <updated>2016-07-20T05:15:33Z</updated>
    <published>2006-12-01T00:00:00Z</published>
    <summary type="text">Title: CNG exhausts emission modeling: Neural network approach
Authors: Bhandari, Kirti; Sekhar, Ch Ravi; Rao, A M; Gangopadhyay, S
Abstract: &lt;span style="mso-bidi-language:HI"&gt;Traditional statistical regression and Artificial&#xD;
Neural Network (ANN) modeling techniques were applied to assess the emission&#xD;
characteristics of CNG vehicles (cars and three wheelers) to understand the&#xD;
influence of explanatory parameters, like vehicle age, vehicle type and&#xD;
air-fuel ratio on emissions of CO, HC, CO&lt;sub&gt;&lt;span style="mso-bidi-font-family:&#xD;
Arial;mso-bidi-language:HI"&gt;2&lt;/span&gt;&lt;/sub&gt;&lt;span style="mso-bidi-font-family:&#xD;
Arial;mso-bidi-language:HI"&gt; &lt;span style="mso-bidi-language:HI"&gt;and O&lt;sub&gt;&lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;2&lt;/span&gt;&lt;/sub&gt;&lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;. &lt;span style="mso-bidi-language:HI"&gt;For ANN modeling. multilayer feed-forward neural&#xD;
network with single hidden layer was considered and back propagation algorithm&#xD;
was applied for training. ANN model, ANN models are shown better predictive&#xD;
models than the traditional statistical modeling techniques for predicting the&#xD;
CNG exhaust emissions (CO, &lt;span style="mso-bidi-font-family:Arial;&#xD;
mso-bidi-language:HI"&gt;HC, &lt;span style="mso-bidi-language:HI"&gt;CO&lt;sub&gt;&lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;2&lt;/span&gt;&lt;/sub&gt;&lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;, &lt;span style="mso-bidi-language:HI"&gt;and O&lt;sub&gt;&lt;span style="mso-bidi-font-family:&#xD;
Arial;mso-bidi-language:HI"&gt;2&lt;/span&gt;&lt;/sub&gt;&lt;span style="mso-bidi-font-family:&#xD;
Arial;mso-bidi-language:HI"&gt;).&#xD;
&#xD;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
Page(s): 1000-1007</summary>
    <dc:date>2006-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A comparative study of non-conventional coagulants vis-a-vis traditional coagulant on chhana (an acid and heat coagulated product from milk)</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/30653" />
    <author>
      <name>Bandyopadhyay, Mahuya</name>
    </author>
    <author>
      <name>Chakraborty, Runu</name>
    </author>
    <author>
      <name>Raychaudhuri, Utpal</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/30653</id>
    <updated>2016-07-20T05:17:46Z</updated>
    <published>2006-12-01T00:00:00Z</published>
    <summary type="text">Title: A comparative study of non-conventional coagulants vis-a-vis traditional coagulant on chhana (an acid and heat coagulated product from milk)
Authors: Bandyopadhyay, Mahuya; Chakraborty, Runu; Raychaudhuri, Utpal
Abstract: &lt;span style="mso-bidi-language:HI"&gt;Three non-conventional, low cost, food grade&#xD;
organic acids (acetic acid, fumaric acid, tartaric acid) were effectively used&#xD;
as coagulant at three different concentrations (0.5, 1 and 2%) in the&#xD;
manufacture of chhana (a heat and acid coagulated milk protein mass and an&#xD;
Indian equivalent to cottage cheese) as substitute for sour whey. Chhana&#xD;
prepared by all type of coagulants including sour whey were found similar in&#xD;
quality. Concentrations (0.5 and 1%) of three acids produced higher yield than&#xD;
sour whey. Fumaric acid (all conc.), tartaric acid (1 &lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;&amp; &lt;span style="mso-bidi-language:HI"&gt;2%) and acetic acid (2%) gave higher total solid&#xD;
recovery than sour whey. Chhana made by three acids (1 &lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:HI"&gt;&amp; &lt;span style="mso-bidi-language:HI"&gt;2%) contained higher fat and protein than chhana&#xD;
made by sour whey. The three organic acid coagulants produced little bit hardy,&#xD;
chewy, gummy, elastic and cohesive chhana than sour whey but that chhana could&#xD;
be better utilized for making dry chhana sweets. All three organic acid&#xD;
coagulants (1&lt;span style="mso-bidi-font-family:Arial;mso-bidi-language:&#xD;
HI"&gt;%) &lt;span style="mso-bidi-language:HI"&gt;were effectively used in the&#xD;
manufacture of chhana as substitute for sour whey.&#xD;
&#xD;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
Page(s): 995-999</summary>
    <dc:date>2006-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>MSVQ: A data compression technique for multimedia applications</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/4993" />
    <author>
      <name>Singhai, Jyoti</name>
    </author>
    <author>
      <name>Singhai, Rakesh</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/4993</id>
    <updated>2009-07-04T16:30:38Z</updated>
    <published>2006-12-01T00:00:00Z</published>
    <summary type="text">Title: MSVQ: A data compression technique for multimedia applications
Authors: Singhai, Jyoti; Singhai, Rakesh
Abstract: Data compression is one of the enabling technologies for the application of communication technology with ever growing Internet, explosive development of mobile communication and the ever-increasing impact of video communication to store the data in a compact way for minimum cost of storage and transmission. There are various compression techniques available which are capable of application specific large compression ratios. This paper presents the Multi Stage Vector Quantization (MSVQ) based on LBG algorithm and Partial Distance Search (PDS) method, which is most suitable for faster encoding required in multimedia applications.
Page(s): 982-985</summary>
    <dc:date>2006-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Optimal production planning under resource constraints</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/4992" />
    <author>
      <name>Mouli, K V V Chandra</name>
    </author>
    <author>
      <name>Subbaiah, K Venkata</name>
    </author>
    <author>
      <name>Acharyulu, S G</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/4992</id>
    <updated>2009-07-06T16:30:26Z</updated>
    <published>2006-12-01T00:00:00Z</published>
    <summary type="text">Title: Optimal production planning under resource constraints
Authors: Mouli, K V V Chandra; Subbaiah, K Venkata; Acharyulu, S G
Abstract: Production planning is meant to arrive at the framework of manufacturing operations during the period planned. This paper addresses the solution for finding an optimal production planning to minimize the total cost under the resource constraints taking overtime and subcontracting costs. A mathematical model is formulated and Genetic algorithms are implemented in constrained optimization to arrive an optimal solution.
Page(s): 966-969</summary>
    <dc:date>2006-12-01T00:00:00Z</dc:date>
  </entry>
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