SOME HIGHLIGHTS OF STUDENTS’ RESEARCH Strengthening students’ research conducted at AIT. Super-resolution of an Image Prithvi Raju​ Master Student Computer Science and Information Management School of Engineering and Technology​ "The    evolution    of    surveillance    techniques    in    the    modern    era    has powered   Artificial    Intelligence    by    developing    algorithms    that    provide numerous    opportunities    to    improve    security.    Surveillance    cameras monitoring   wide   field   of   view   can   result   in   capturing   indiscernible   faces which   makes   human   activity   monitoring   and   recognition   impossible.   A powerful   technique   such   as   super-resolution   of   an   image   that   synthesizes   a   high-resolution   image   from   a low-resolution image is a feasible solution." Impact of Carbon Nanoparticle Additive on Viscosity and Surface Tensionof Automotive Engine Oil Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Using   Nano   additives   to   enhance   the   performance   of   lubricants   in   one of   the   trending   research   fields.   The   main   objective   of   this   study   is   to practically   study   the   properties   of   lubricants   upon   addition   of   few   carbon Nano   impurities.   Different   carbon   Nano   additives   like   Graphite,   MWCNT (Multi   wall   carbon   Nano   tubes)   are   blended   to   the   commercial   SAE 20W50   multi   grade   oil   and   the   performance   is   studied   at   temperature ranging   from   -5℃   to   80℃.   We   successfully   fund   that   the   viscosity   of   Nano   lubricants   were   lower   than   that of pure base oil. Presented   and   was   one   of   the   Finalist   during   the   100   Innovations   x   Entrepreneurs”    event,   it   was   Southeast   Asia's   first Research to Commercial (R2C) Conference. TRoom Temperature Deposition of Zinc Tin Oxide (ZTO) Thin Films using Spark Deposition Technique Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Solar Powered Automatic Weather Station (AWS-Solar) and Alert System using Smart Sensors and Systems Gajula Manoj Mahajan Master of Engineering in Remote Sensing and Geographic Information Systems ~ May 2017 School of Engineering and Technology Signal & Telecom Technician @ Indian Railways, Hyderabad, India (Government of India) Introduction:   During   recent   years,   weather   is   becoming   a   prime   interest   in   climate   change   issues. Nowadays,   the   need   of   weather   monitoring   instruments   for   real-time   monitoring,   alarming   and reporting   the   varying   environmental   conditions   has   become   very   essential.   In   this paper,   The   proposed   system   generates   the   short   term   local   alerts based   on   the   current   weather   conditions.   The   alarming   system   has been   developed   through   a   smartphone   application   which   sends   the alert    messages    based    on    the    condition    of    the    weather    at    that location.    The   AWS-Solar    will    be    powered    by    using    solar    energy, further the change in the weather is observed on a web platforms.  Conclusion:    The    real-time    graphical    charts    are    displayed    on    the smartphone    application.    The    hourly,    daily,    weekly    and    monthly patterns   of   weather   parameters   are   also   shown   using   graphs.   The   upper   and   lower threshold   values   were   fixed   in   the   application   for   individual   parameters.   The   real- time   alerts   are   shown   on   the   smartphone   screen.   The   real   time   alert   messages   are also   shown   in   twitter   using   react   application   which   will   compare   the   conditions   and gives real time alerts. Using Geographic Information System in Mapping Risk Zones of Leptospirosis, Thailand Sravan Sajja Master of Engineering in Remote Sensing and GIS ~ May 2016 Asian Institute of Technology, Thailand Civil Works Contractor in Sarva Shiksha Abhiyan (SSA), Guntur District, Andhra Pradesh, India SUMMARY:        Intensive    use    of    Remote    Sensing    and    Geographic Information   Systems   in   health   sector   had   given   an   opportunity   for healthcare   authorities   to   identify   the   risk   zones   for   different   diseases through   which   the   services   can   be   rendered   more   effectively,   but   this work    is    still    under    tremendous    pressure    especially    in    developing countries   and   countries   with   large   population,   due   to   the   limitations   in data   availability.   Leptospirosis   is   probably   the   world’s   most   widespread zoonosis   of   global   importance.   This   work   presents   risk   zone   identification   by   finding   hotspots   in province   level   in   Thailand.   Leptospirosis   incidence   data   has   been   prepared   province   level   for   the years   2003   to   2009.   By   considering   average   incidence   of   all   the   years,   risk   map   is   prepared.   These results   are   been   verified   by   the   map   produced   by   using   incidence   rate   method.   From   the   results   we found eleven provinces in Thailand with leptospirosis incidence > 12 per 100,000 people. Karthikeya Nandanavanam VBS Sudarsan Master of Engineering in Remote Sensing and Geographic Information Systems ~ December 2018 PhD Fellow in Remote Sensing and Geographic Information Systems Asian Institute of Technology, Thailand Best Poster during FOSS4G-Asia 2018 held on December 2018 at Moratuwa, Sri Lanka Title: Development of a Mobile Online Powered Smart Weather and Air Quality Station Abstract: Most of the weather stations calculate the weather data and climate change data only at the area where the weather station is located. The Weather and Air Quality Station (W&AQ) built this research work are assembled with sensors such as BMP280, DTH22, PM2.5, Anemometer, Rain gauge, GPS and GSM module. Karthik Muthineni Master of Engineering in Information and Communication Technology (ICT) ~ July 2018 Co-Researcher at National Electronics and Computer Technology Center (NECTEC), Thailand Thesis Title: Ambient Intelligent Wireless Sensor Network for Environmental Monitoring and Indoor Localization Using an Extended Kalman Filter. Abstract:   Ambient   Intelligent   (AmI)   Wireless   Sensor   Networks (WSN)     provide     intelligent     services     based     on     user     and environment    data    obtained    by    sensors.    Such    networks    are developed     to     give     environmental     monitoring     and     indoor localization   services.   In   this   work,   Zigbee   which   is   a   wireless communication   technology   is   used   for   localization   based   on Received   Signal   Strength   Indicator   (RSSI)   method.   In   practice, Extended   Kalman   Filter   (EKF)   is   adapted   to   filter   RSSI   values influenced     by     multi-path     fading     and     noise.     Log-Normal Shadowing    Method    (LNSM)    together    with    the    Trilateration method   was   implemented   to   locate   the   position   of   the   unknown   node   or   entity.   In   addition, Cramer   Rao   Lower   Bound   (CRLB)   is   derived   for   the   position   estimation,   that   can   be   used   to evaluate   the   performance   of   the   system   in   terms   of   localization   accuracy.   Along   with   indoor localization,   the   deployed   WSN   could   also   monitor   environment   parameters   like   temperature   and humidity   surrounding   entity   using   digital   humidity   and   temperature   (DHT11)   sensor.   Using   Zigbee location   coordinates   of   entity   and   environment   parameters   are   transmitted   to   remote   desktop where visualization of data is done using Matrix Laboratory (MATLAB).
NAVIGATION
ADDRESS Asian Institute of Technology 58 Moo 9, Km. 42, Paholyothin Highway P.O. Box 4, Klong Luang Pathumthani 12120  Thailand
CONTACT e: unified@ait.ac.th f: (662) 524 - 6313
NAVIGATION
ADDRESS Asian Institute of Technology 58 Moo 9, Km. 42, Paholyothin Highway P.O. Box 4, Klong Luang Pathumthani 12120  Thailand CONTACT Email: unified@ait.ac.th
SOME HIGHLIGHTS OF STUDENTS’ RESEARCH Strengthening students’ research conducted at AIT. Super- resolution of an Image Prithvi Raju​ Master Student Computer Science and Information Management School of Engineering and Technology​ "The   evolution   of   surveillance   techniques   in   the modern   era   has   powered Artificial   Intelligence   by developing    algorithms    that    provide    numerous opportunities    to    improve    security.    Surveillance cameras   monitoring   wide   field   of   view   can   result in    capturing    indiscernible    faces    which    makes human     activity     monitoring     and     recognition impossible.   A   powerful   technique   such   as   super- resolution   of   an   image   that   synthesizes   a   high- resolution   image   from   a   low-resolution   image   is a feasible solution." Impact of Carbon Nanoparticle Additive on Viscosity and Surface Tensionof Automotive Engine Oil Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Using      Nano      additives      to enhance   the   performance   of lubricants     in     one     of     the trending   research   fields.   The main   objective   of   this   study   is to      practically      study      the properties   of   lubricants   upon addition   of   few   carbon   Nano   impurities.   Different carbon    Nano    additives    like    Graphite,    MWCNT (Multi   wall   carbon   Nano   tubes)   are   blended   to the   commercial   SAE   20W50   multi   grade   oil   and the     performance     is     studied     at     temperature ranging   from   -5℃   to   80℃.   We   successfully   fund that   the   viscosity   of   Nano   lubricants   were   lower than that of pure base oil. Presented   and   was   one   of   the   Finalist   during   the 100        Innovations        x Entrepreneurs”     event,    it was   Southeast   Asia's   first Research    to    Commercial (R2C) Conference. TRoom Temperature Deposition of Zinc Tin Oxide (ZTO) Thin Films using Spark Deposition Technique Mr. Saikiran Gaddamedi Master Student Nanotechnology School of Engineering and Technology​ Solar Powered Automatic Weather Station (AWS-Solar) and Alert System using Smart Sensors and Systems Gajula Manoj Mahajan Master of Engineering in Remote Sensing and Geographic Information Systems ~ May 2017 School of Engineering and Technology Signal & Telecom Technician @ Indian Railways, Hyderabad, India (Government of India) Introduction:    During    recent    years,    weather    is becoming    a    prime    interest    in    climate    change issues.      Nowadays,      the      need      of      weather monitoring   instruments   for   real-time   monitoring, alarming        and        reporting        the        varying environmental     conditions     has     become     very essential.   In   this   paper,   The   proposed   system generates   the   short   term   local   alerts   based   on the    current    weather    conditions.    The    alarming system      has      been      developed      through      a smartphone    application    which    sends    the    alert messages   based   on   the   condition   of   the   weather at   that   location.   The   AWS-Solar   will   be   powered by   using   solar   energy,   further   the   change   in   the weather is observed on a web platforms.  Conclusion:   The   real-time   graphical   charts   are displayed    on    the    smartphone    application.    The hourly,    daily,    weekly    and    monthly    patterns    of weather     parameters     are     also     shown     using graphs.   The   upper   and   lower   threshold   values were     fixed     in     the     application     for     individual parameters.   The   real-time   alerts   are   shown   on the    smartphone    screen.    The    real    time    alert messages   are   also   shown   in   twitter   using   react application    which    will    compare    the    conditions and gives real time alerts. Using Geographic Information System in Mapping Risk Zones of Leptospirosis, Thailand Sravan Sajja Master of Engineering in Remote Sensing and GIS ~ May 2016 Asian Institute of Technology, Thailand Civil Works Contractor in Sarva Shiksha Abhiyan (SSA), Guntur District, Andhra Pradesh, India SUMMARY:      Intensive   use   of   Remote   Sensing and   Geographic   Information   Systems   in   health sector   had   given   an   opportunity   for   healthcare authorities   to   identify   the   risk   zones   for   different diseases    through    which    the    services    can    be rendered   more   effectively,   but   this   work   is   still under      tremendous      pressure      especially      in developing    countries    and    countries    with    large population,     due     to     the     limitations     in     data availability.   Leptospirosis   is   probably   the   world’s most   widespread   zoonosis   of   global   importance. This    work    presents    risk    zone    identification    by finding    hotspots    in    province    level    in    Thailand. Leptospirosis   incidence   data   has   been   prepared province   level   for   the   years   2003   to   2009.   By considering   average   incidence   of   all   the   years, risk   map   is   prepared.   These   results   are   been verified   by   the   map   produced   by   using   incidence rate   method.   From   the   results   we   found   eleven provinces      in      Thailand      with      leptospirosis incidence > 12 per 100,000 people. Karthikeya Nandanavanam VBS Sudarsan Master of Engineering in Remote Sensing and Geographic Information Systems ~ December 2018 PhD Fellow in Remote Sensing and Geographic Information Systems Asian Institute of Technology, Thailand Best Poster during FOSS4G-Asia 2018 held on December 2018 at Moratuwa, Sri Lanka Title: Development of a Mobile Online Powered Smart Weather and Air Quality Station Abstract: Most of the weather stations calculate the weather data and climate change data only at the area where the weather station is located. The Weather and Air Quality Station (W&AQ) built this research work are assembled with sensors such as BMP280, DTH22, PM2.5, Anemometer, Rain gauge, GPS and GSM module. Karthik Muthineni Master of Engineering in Information and Communication Technology (ICT) ~ July 2018 Co-Researcher at National Electronics and Computer Technology Center (NECTEC), Thailand Thesis Title: Ambient Intelligent Wireless Sensor Network for Environmental Monitoring and Indoor Localization Using an Extended Kalman Filter. Abstract:       Ambient       Intelligent (AmI)   Wireless   Sensor   Networks (WSN)   provide   intelligent   services   based   on   user and    environment    data    obtained    by    sensors. Such      networks      are      developed      to      give environmental   monitoring   and   indoor   localization services.   In   this   work,   Zigbee   which   is   a   wireless communication       technology       is       used       for localization   based   on   Received   Signal   Strength Indicator   (RSSI)   method.   In   practice,   Extended Kalman    Filter    (EKF)    is    adapted    to    filter    RSSI values   influenced   by   multi-path   fading   and   noise. Log-Normal       Shadowing       Method       (LNSM) together     with     the     Trilateration     method     was implemented     to     locate     the     position     of     the unknown   node   or   entity.   In   addition,   Cramer   Rao Lower   Bound   (CRLB)   is   derived   for   the   position estimation,    that    can    be    used    to    evaluate    the performance     of     the     system     in     terms     of localization      accuracy.      Along      with      indoor localization,     the     deployed     WSN     could     also monitor         environment         parameters         like temperature    and    humidity    surrounding    entity using   digital   humidity   and   temperature   (DHT11) sensor.    Using    Zigbee    location    coordinates    of entity       and       environment       parameters       are transmitted       to       remote       desktop       where visualization     of     data     is     done     using     Matrix Laboratory (MATLAB).