Cheypoca, Thepjit

Preferred name

Cheypoca, Thepjit

Main Affiliation

School of Engineering

thepjit.ch@kmitl.ac.th

Now showing 1 - 10 of 21

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Using a Smartphone to Assist in Physical Therapy
(2021-04-01)
Cheypoca, Thepjit
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Anuntahirunrat, Kongsak
In this paper, the use of accelerometer, gyroscope, magnetometer and GPS. A basic sensors available on smartphones, in the treatment of paresis symptoms, patients as a way of encouraging physical therapy on their own without having to travel to the hospital. And it is a burden to doctors and physiotherapists, making it possible to serve a large number of patients will explored. It also provides therapeutic information to improve individual physical activity. A smartphone that attached to the patient at a given location.It sends values from sensors to databases in the cloud. The data provided by the database will analyze and diagnosed by doctors and physiotherapists.
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A simple CMOS-based algorithmic ADC
(2007-12-01)
Kaewpoonsuk, Anucha
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Cheypoca, Thepjit
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Julsereewong, Amphawan
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Riewruja, Vanchai
This paper presents a one-bit cell of reverse Gray-code algorithmic analog-to-digital converter. The proposed converter comprises of full-wave rectifier, current mirrors, and current comparator. The realization method is simple, small in size, and suitable for integrated circuit form. The design strategy is based on the MOS biased at the edge of conduction to provide a low accumulated error and a low distortion in the transfer characteristic. An N-bit resolution can be achieved by cascading of the N proposed one-bit cells. PSPICE simulation results supporting the characteristics of proposed circuit are agreed with the expected values. © ICROS.
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Apply PLC to Control 3-Axis Machines
(2025-01-01)
Cheypoca, Thepjit
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Thaiyai, In
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Maneerat, Noppadol
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Narkthewan, Athasart
This report presents a method of using PLC (Programable Logic Control) to control the work instead of the 3-Axis machine position controller. PLC is popularly used in various types of control systems. It has a lot of control capabilities, is efficient, stable, durable, easy to use, and cheap. It is the use of commands to control the work of all 3 axes, 2 axes, and 1 axle. The commands used for moving in both straight lines and curves, and there are other devices that need to be controlled together with the machine that is being controlled.
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Partial Discharge Classification with Transformer Neural Networks
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
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Hankae, Angelina Phimpissada
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Jeenmuang, Siwakorn
This paper introduces an approach with the Transformer Neural Networks model for partial discharge patterns classification, that consists of corona discharge, internal discharge and surface discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The phase value will be encoded into the charge array and Transformer Neural Network is constructed using Positional Embedding and Transformer Encoder Layer. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed
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Simple interface circuit for resistive/capacitive sensors
(2013-01-01)
Tongcharoen, Jakkapun
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Petchmaneelumka, Wandee
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Cheypoca, Thepjit
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Rerkratn, Apinai
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Riewruja, Vanchai
This paper presents a method to realize interface circuit for resistive and capacitive sensors. The proposed circuit employs commercially available devices to generate the output signal in form of time period, which is linearly proportional to the both of sensing resistance and capacitance. Circuit configuration is simple and small in size. Experimental results verifying the performances of the proposed circuit are also included.
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A prototype system to count nursery pacific white shrimp using image processing
(2018-12-10)
Boksuwan, Sungwan
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Panaudomsup, Sumit
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Cheypoca, Thepjit
This paper proposes a counting system for estimating the biomass of nursery-stage pacific white shrimp in an indoor cultured tank using an image processing technique. The outcome is to reduce an over feed and water quality issue. As a result, it leads to the reduction of an operation cost in an indoor production system because the operation cost is mainly caused by feed and water treatment. Shrimp’s biomass is directly used to determine an amount of feed. In Thailand, farmers currently use the sampling cup to sample and estimate a shrimp density. This traditional method depends on the experience and provide roughly estimation. Moreover, farmers are facing a labor issue. The proposed system is designed to estimate a shrimp’s density automatically. The system consists of a sampling cup, sampling mechanism and counting unit. In image processing, colour, size and shape are used as three main features of the nursery-stage shrimp for distinguishing from their environments. The proposed method leads to more precise estimation of the density. The experimental results obviously reveal the effectiveness of the proposed system.
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Linear Interpolation Using Siemens S7-1200
(2025-01-01)
Maneerat, Noppadol
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Wongworrada, Tharathorn
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Cheypoca, Thepjit
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Sepsirisuk, Kasemsuk
This research is a continuation of the research on circular interpolation use siemens s7-1200 [1] It presents the movement of 3 axes, $x y z$, as a method of moving in a curve that is controlled by programmable logic control (PLC). In the future research, PLC will be used to control linear movement straightly. The work will be in the original format, but change the equation used to move in a straight line instead.
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Partial Discharge Classification With 1D Convolutional Neural Network
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
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Hankae, Angelina Phimpissada
;
Jeenmuang, Siwakorn
This paper introduces a novel approach for classifying with the 1D Convolutional Neural Network model for partial discharge patterns, that consists of corona discharge, surface discharge and internal discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The Artificial Neural Network for the classification model was constructed. Moreover, 2×1D CNN feature extraction was utilized to reduce the curse of dimensionality in the dense layer of the proposed PD classification model. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed.
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Bitmap picture to toolpaths converter for NC machine
(2010-12-01)
Cheypoca, Thepjit
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Petchmaneelumka, Wandee
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Tammaruckwattana, Sirichai
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Riewruja, Vanchai
A simple method to create the toolpaths from bitmap picture of the workpiece for NC machine is described in this article. Halftone process is used to reproduce a continuous tone picture to binary tone picture for making a prototype picture. The obtained two dimensions picture with halftone process is employed to create the toolpaths of the sample workpiece. The workpiece dimension can be scaled to limitation of work table of NC machine by user with independent of picture resolution. The toolpaths are created as cutter location data (CL) that can be imported to postprocessor for NC machine. The proposed method is developed using visual C# programming language under window environment. Experimental implementation exhibits that the proposed bitmap picture to toolpath converter is efficient for the postprocessor to generate machine command for sculpture the workpiece from bitmap picture. ©ICROS.
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High efficiency postprocessor for generic NC machine
(2010-12-01)
Cheypoca, Thepjit
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Lekthamrong, Chanon
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Koomgaew, Chitpol
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Wuti, Virot
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Riewruja, Vanchai
Postprocessor for generic numerical control (NC) machines is introduced in this article. The proposed postprocessor can convert the cutter location data from general CAD/CAM system or the path data from halftone bitmap picture to NC machine control command in the form of standard G-code. The purpose of this work is proposed a high efficiency postprocessor that can be generated linear and helical interpolation in G-code machine command without requiring CAD/CAM system facility. The input data of the postprocessor can also be directly acquired from x-y coordinates of workpiece. The proposed postprocessor is developed using visual C# programming language under window XP environment. G-code generated from the proposed postprocessor using the cutter location data of sample bitmap picture is used for experimental demonstration with generic NC machine. As the result, the proposed postprocessor exhibits a benefit for simple NC machine tool. ©ICROS.

Cheypoca, Thepjit

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