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<doi_batch_id>-3dc97f3d182b6b0ed3d-77ee</doi_batch_id>
<timestamp>20220827020848106</timestamp>
<depositor>
  <depositor_name>beie:beie</depositor_name> 
  <email_address>director@blueeyesintelligence.org</email_address>
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<registrant>WEB-FORM</registrant> 
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<journal>
<journal_metadata>   <full_title>International Journal of Recent Technology and Engineering (IJRTE)</full_title>   <abbrev_title>IJRTE</abbrev_title>   <issn media_type='electronic'>22773878</issn>   <doi_data>     <doi>10.35940/ijrte.2277-3878</doi>     <resource>https://www.ijrte.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <journal_volume>     <volume>8</volume>   </journal_volume>   <issue>2</issue> </journal_issue> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Sliding Mode Controlled DC-DC Buck Converter using Traditional and Proposed  Reaching Laws</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Electronics and Communication, VTU. SJMIT, Chitradurga, India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Siddesh</given_name>      <surname>K.B</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. Basavaraja </given_name>       <surname>Banakara</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>EEE, VTU, UBDTCE, Davangere, India</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>R.</given_name>       <surname>Shivarudrswamy</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Dept. of E&amp;EE, MIT, Manipal, India</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>Comparison analysis of sliding mode controlled dc-dc buck converter for chattering suppression with traditional and proposed reaching laws. A proposed reaching laws and traditional reaching law applied to SMC DC-DC buck converter, the proposed reaching law effectively reduces the chattering, because switching devices are existing in the model, it reduces the switching losses in the switching devices of the dc-dc buck converter. The results of proposed reaching law are compared with traditional reaching law. Proposed method gives less switching losses, in turn efficiency of the buck converter increases, more chattering mitigation by proposed reaching laws as compared to traditional reaching law. And very less sensitive in line and load variation. Simulation done in MATLAB.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>1072</first_page>     <last_page>1081</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1278.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1278058119/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Finite Element Analysis of Aluminum Alloy at  Many Die Channel Angles using DEFORM-3D</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of Mechancal Engineering, GLA University,  Mathura, India</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Alok</given_name>      <surname>Soni</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Sanjeev Kumar</given_name>       <surname> Gupta</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Mechancal Engineering, GLA  University, Mathura, India</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>Equal channel angular pressing (ECAP) is a technique used to impose strain in material which helps to increase the mechanical properties of a material. It is generally used to refine grain size of the material by passing sample through equal channel. In this study, analysis on frictional effect in equal channel angular pressing using aluminum 1100 has been done by using FEM software DEFORM-3D version 10.1. Dies with different channel angle were designed with the help CATIA. This study shows the effect of friction with different die channel angle. It has been found that with the increase in friction, reduction in corner gap is found (dead zone), which may cause material damage and improve strain distribution homogeneity. The result obtained with FEM simulation are compared to those obtained theoretically, thus it is found that the current study is in good agreement to the theoretically result.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>58</first_page>     <last_page>61</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1330.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1330058119/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Wireless Sensor Network usingTabu Searching  Algorithm and Fuzzy Inference System</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Assistant Professor, Department of Electronics &amp;  Communication, Department of Electronics &amp; Communication,  University Institute of Technology Bhopal</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Dr. Avinash</given_name>      <surname>Rai</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Mridula</given_name>       <surname>Sharma</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>M. Tech. Scholar, Department of Electronics &amp;  Communication, Department of Electronics &amp; Communication,  University Institute of Technology Bhopal </organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>The ongoing mechanical headways in remote and installed innovations have made the assembling of little and minimal effort sensors actually and financially practical. Sensor hubs being little in size, they are intended to have just restricted detecting, registering and remote correspondence abilities. These sensors measure surrounding conditions in the condition encompassing them and afterward change these estimations into signals that can be handled to uncover a few attributes about marvels situated in the region around these sensors. In this paper tabu searching algorithm (TSA) based fuzzy inference system (FIS) to reduce energy consumption and increase packet delivery ratio (PDR). The proposed algorithm is implemented MATALB software and simulated all parameter.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>151</first_page>     <last_page>154</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1332.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1332058119/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Big Data Analysis for Diabetes Recognition using Classification Algorithms</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Associate Professor, Department of  Information Technology, Vels Institute of Science, Technology &amp; Advanced  Studies, Chennai</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Dr. S.</given_name>      <surname>Kamalakkannan</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>R.</given_name>       <surname>Thiagarajan</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Assistant Professor, Department of Computer Science,  St.Joseph’s College (Arts &amp; Science), Chennai.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Dr. S.</given_name>       <surname>Mathivilasini</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Computer Science, Ethiraj College  for Women, Chennai.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>R.</given_name>       <surname>Thayammal</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Computer Science, Chennai.</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>In that paper, we’ve an inclination to project as checking the whole patient ill health victimization Naive Bayes classification and J48 decision tree. As a result of the information, enormous process comes from mu ltiple, heterogeneous, autonomous sources with sophisticated an d evolving relationships and continues to grow. So in that, we’ll take results of what proportion share patients get ill health as a positive knowledge and negative knowledge. Huge info is difficult to work with victimization most database management systems and desktop statistics and internal representation packages. The projected shows a huge process model, from the data mining perspective. Victimization classifiers, we’ve an inclination to unit method congenital disease share and values unit showing as a confusion matrix. We’ve an inclination to projected a replacement classification theme which could effectively improve the classification performance inside the situation that employment dataset is out there. During this dataset, we have nearly 1000 patient details. We’ll get all that details from there. Then we have a tendency to unit attending to sensible and unhealthy values square measure victimization naive Bayes classifier and J48 tree</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>62</first_page>     <last_page>65</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1333.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1333058119/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>A Hexagonal Topology and Coordinate Based  Routing for Wmns</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Dept. of Computer Science and Engineering, MIT,  Meerut, UP, INDIA.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Suraj</given_name>      <surname>Malik</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Rakesh Kumar</given_name>       <surname>Singh</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Dept. of Computer Science and Engineering,  MMT University, Gorakhpur, Up, India. </organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>Wireless mesh networks (WMNs) contain both i.e mesh router and clients, where backbone of WMNs is mesh router due to immaterial portability. They give orchestrate access to both work and customary clients. In a WMN, it is feasible to accomplish an IGW or any Mesh Routers via various paths. Anyway this may prompt an unwanted circumstance, in which the most ideal ways may degenerate on account of the disbalancing of burden, subsequently bringing about problematic execution. To avoid this problem, we propose coordinate based multi-way routing protocol, which knows about area of its neighbors for an Infrastructural WMN. The principal thought is on the examination of directing estimation with speedy route revelation, as possible least hopes, least delays, most outrageous information rates and least possible defect-rates. Reproduction outcome, demonstrate that our introduced method estimation is preferable than current lattice, ETX and ETT metric employed in directing.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>66</first_page>     <last_page>70</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1335.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1335058119/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Effects of New Mixed Feed Based on  Nontraditional Feed Additives on Fatty Acid  Profile of Tilapia (Oreochromis Niloticus)</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Kazakh National Agrarian University, Almaty,  Kazakhstan.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>N.B.</given_name>      <surname>Sarsembayeva</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>D.Zh</given_name>       <surname>Moldagaliyeva</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Almaty Technological University, Almaty,  Kazakhstan.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Ya.M</given_name>       <surname> Uzakov</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Almaty Technological University, Almaty, Kazakhstan.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>T.B.</given_name>       <surname> Abdigaliyeva</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Almaty Technological University, Almaty,  Kazakhstan</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>A.N.</given_name>       <surname>Biltebay</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Kazakh National Agrarian University, Almaty,  Kazakhstan</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>This article presents data of the effect of new feed additives on the fatty acid composition meat of Nile Tilapia. Test subjects were divided into four groups (different ages), experimental fish were contained in special reservoirs. The following feed types were used in the research: No. 1 (for fish bred in ponds), No. 2 (for young fish), No. 3 (for a commercial group of fish), No. 4 (for fish bred in pools). Experimental studies were conducted near the Chundzha natural hot spring in the Almaty region. Gas chromatography was used to determine the amount of fatty acids in fish meat. The use of new feeds has led to an increase the content of Fattyacids (FA ) and monounsaturated fatty acids (MUFA) and polyunsaturated fattyacids (PUFA) in particular.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>3790</first_page>     <last_page>3794</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1362.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1362058119/</resource>   </doi_data> </journal_article><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Portable UWB Based Monopole Antenna for Wearable Applications</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of ECE. Karunya Institute of  Technology and Sciences , Coimbatore, Tamilnadu, India</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Amir Anton</given_name>      <surname>Jone</surname>    </person_name>  </contributors>    <jats:abstract xml:lang='en'>         <jats:p>A planar UWB antenna is intended to deploy for on-body applications. The antenna is typically to manage for free space and placed on a harmonized phantom. The calculations are performed for return loss, radiation pattern and gain. The performance of the UWB antenna ranges from 3-11.2GHz. The main feature of the antenna depicts superior impedance level with good satisfaction on on-body propagation. Here, the observation between the phantom and antenna are carried out which results in input matching of the proposed antenna. The return losses are very slightly affected but the Gain of the antenna is seen decreasing significantly, after placing the antenna on the phantom</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>07</month>     <day>30</day>     <year>2019</year>   </publication_date>   <pages>     <first_page>71</first_page>     <last_page>75</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A1366.078219</doi>     <resource>https://www.ijrte.org/portfolio-item/A1366058119/</resource>   </doi_data> </journal_article>
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