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).