Browsing คณะและวิทยาลัย by Author

Now showing items 1-20 of 1939

      Authors Name
      .สมศักดิ์ บุตรสาคร, อาจารย์ที่ปรึกษา [1]
      Aatsada Makpradab [1]
      Academic Support Center and Registration Bureau, Rajamangala University of Technology Krungthep is responsible for supporting work concerning students' enrollment, and has specific operation hours. Many students wish to contact the bureau about questions during closed hours, which would cause delay in response time. From that problem we study and develop automatic answering system targeting questions on registration services using Line Chatbot. The objective for the automatic answering system is to increase contact channel for the bureau that achieves less response time. With the LINE application to interact with conversations, Dialogflow is a Chatbot generator for automated queries. Line official account is used for notifications on LINE application, and Google Forms is used to assess customer satisfaction. The results of the satisfaction assessment from the users was at high level. The mean is 4.37, and the standard deviation is 0.80. The results shows that the automatic answering system uses appreciate instructions and explanations, and hence is easily understood by the users [1]
      Anusara Mueangmun [1]
      Anuwat Deesomprasong [1]
      Apinya Ritthiyong [1]
      Apisit Rungsirimongkolchai [1]
      Artima Chaichawalit [1]
      Astillero, Marlon Rael , Advisor [1]
      Astillero, Marlon Rael, Advisor [1]
      Athapoul Saengoi [1]
      Atipooh Wimonratachatpon [1]
      Atisanun Sakthirasunthon [1]
      Atissanun Sakthirasunthon [1]
      Because mango is an important economic fruit of Thailand have an export market grown as a horticulture The benefits of mango that we see regularly, it would not be out of the way to eat it as a fresh fruit, both ripe and raw Nowadays, farmers are increasingly popular to grow mangoes by using a lot of cultivation area, it produces a lot of produce therefore invented the device And the tools learned to be used in the study of the project operation, Automatic machine for mango fruit classification based on size and ripeness level there are many varieties of mango species the authors chose the most widespread strains to be used in the experimental study by bringing the Khiao Suea species And the golden Nam Dok Mai varieties to study and experiment The authors had a concept that was developed to study and test the Automatic machine for mango fruit classification based on size and ripeness level starting from researching mango varieties that will be tested study the working device that can be controlled via Arduino Mega 2560 design the mango conveyor section on the conveyor sensor placement design Including the design of the channel mango and write a Flow Chart working diagram, sorting machine, Automatic machine for mango fruit classification based on size and ripeness level Development of programs to suit the experimental machines Operation result display via LCD screen Experimental results of Automatic machine for mango fruit classification based on size and ripeness level Found that the machine can follow the steps. [1]
      Bendu, Peter Sahr [1]
      Benjaporn Junsaranpong [1]
      Benjawan Komonmusit [1]
      Benyapha Phonman [1]
      Boonsiri Seaukumron [1]