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<doi_batch_id>-4d90550d17f4602e089-2f23</doi_batch_id>
<timestamp>20220506061003142</timestamp>
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  <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 Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <journal_volume>     <volume>11</volume>   </journal_volume>   <issue>6</issue> </journal_issue> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>An Advanced Heart Attack Detection and Heartrate Monitoring Alert System using IoT</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of Computer Science Engineering, SRM University, Amaravati (AP), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Sai Tejaswi</given_name>      <surname>Guntupalli</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Lakshmi Harika</given_name>       <surname>Potturi</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>School of Department of Computer Science Engineering, SRM University, Amaravati (AP), India.</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>Internet of Things (IoT) plays a vital job in interfacing the encompassing environmental things to the organization and made easy to access those un-internet things from any far-off location. The human death because of heart attack is increasing day by day. Because of today's human way of life, eating habits, irregular daily schedules, the heart attack issue is becoming predominant. So here we planned a project which enables early recognition of heart attack and provide medical facilities pronto. This mainly centers around early detection of heart attack which thus lessens the human death rate because of heart attack. And by utilizing this gadget, one can screen heart rates which also assists with distinguishing heart attack.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>29</first_page>     <last_page>33</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.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.F9911.0511622</doi>     <resource>https://www.ijitee.org/portfolio-item/f99110511622/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Artificial Intelligence based Stock Market Prediction Model using Technical Indicators</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>M.E. Student, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Mr. Ketan</given_name>      <surname>Bagade</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Prof. Varsha</given_name>       <surname>Bhosale</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Associate Professor, Department of Information Technology &amp; Vice-Principal, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>The indian stock market is highly volatile and complex by nature. However, notion of stock price predictability is typical, many researchers suggest that the Buy &amp; Sell prices are predictable and investor can make above-average profits using efficient Technical Analysis (TA).Most of the earlier prediction models predict individual stocks and the results are mostly influenced by company’s reputation, news, sentiments and other fundamental issues while stock indices are less affected by these issues. In this work, architecture of project is given.As a part of prediction model the Long Short-Term Memory (LSTM), Support Virtual Machine (SVM) are used to predict future prices Stock Technical Indicators(STIs) are used to generate a buy sell signals. The project will be carried on National Stock Exchange (NSE) Stocks of India.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>34</first_page>     <last_page>39</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.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.F9915.0511622</doi>     <resource>https://www.ijitee.org/portfolio-item/f99150511622/</resource>   </doi_data> </journal_article> <!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Gas, Fire &amp; Intruder Detection by an Unmanned Robot using IoT</title> </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Student, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>B</given_name>      <surname>John</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>U. Sam</given_name>       <surname>Thomas</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Faculty, Department of Mechatronics Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>B.</given_name>       <surname>Kanimozhi</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Faculty, Department of Mechatronics Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.</organization>   </contributors>     <jats:abstract xml:lang='en'>         <jats:p>This paper presents a robotic device that can detect and fight fire in our homes and workplaces. Its non-human design makes it free to move in the area of fire even if we cannot access it. The device is equipped with sensors that can detect infrared and gas levels. The robot is constrained by an IoT worker utilizing PCs or cell phones. It can also send and receive text messages.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>40</first_page>     <last_page>44</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.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.F9918.0511622</doi>     <resource>https://www.ijitee.org/portfolio-item/f99180511622/</resource>   </doi_data> </journal_article><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Trusted Execution Environments for Internet of Things Devices</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Research Scholar, Liverpool John Moore University, UK.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Abhilash</given_name>      <surname>Kayyidavazhiyil</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Sheena</given_name>       <surname>Kaipacheri, </surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Senior Engineer, Liverpool John Moore University, UK.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>A trusted execution Environment (TEE) could be a comfy place of a computer’s essential processor that's designed to shield the most touchy information and operations. TEEs are utilized in an expansion of applications, which incorporates cell gadgets, price processing, and statistics safety. The usage of TEEs is becoming increasingly crucial because the amount of touchy records that are processed and stored electronically continues to develop. TEEs can help guard statistics from being accessed or changed with the resource of unauthorised customers, and can also assist ensure that facts aren't always compromised at some stage in transmission. TEEs typically applied the employment of specialized hardware that would offer a better degree of protection than software program-most effective solutions. Hardware-primarily based total TEEs can also offer better overall performance and power efficiency than software-handiest solutions. There are some particular TEE implementations to be had, which incorporates Intel’s TXT, ARM’s TrustZone, and Samsung’s KNOX. Each of those implementations has its very personal strengths and weaknesses, so it's miles more crucial to pick the right TEE on your precise software. reckoning on execution environments are becoming an increasing number of necessities because the amount of touchy facts that's processed and stored electronically continues growing. TEEs can assist shield facts from being accessed or modified by means of way of unauthorized customers, and might also help make sure that records aren't compromised at some point of transmission. TEEs normally implemented the employment of specialized hardware, which will offer a far better degree of protection than software program-only answers. To research how this period has been implemented to the exceptional IoT eventualities, which normally address unique characteristics which incorporate device useful resource constraints, we allotted a scientific literature evaluation.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2022</year>   </publication_date>   <pages>     <first_page>45</first_page>     <last_page>48</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.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.F9885.0511622</doi>     <resource>https://www.ijitee.org/portfolio-item/f98850511622/</resource>   </doi_data> </journal_article>
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