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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of Shawnia Mejia.
Avatar of Shawnia Mejia.
曾任
Cashier @Target
2009 ~ 2009
paraeducator
一個月內
Shawnia Mejia Porterville, Tulare, California, United States || [email protected] Para Educator/Teachers Aid Work Experience Cashier • Target NovemberDecember 2009 | Yuba City ca, Managing transactions with customers using cash registers Scanning goods and ensuring pricing is accurate Collecting payments whether in cash or credit Issue receipts, refunds, change or tickets Redeem stamps and coupons Cross-sell products and introduce new ones Resolve customer complaints, guide them and provide relevant information Greet customers when entering or leaving the store PARA EDUCATOR/SUBSTITUITE TEACHER Febuary 2006-November 2007 January 2016-October 2018 Helped teachers prepare lesson plans and
待业中
正在积极求职中
全职 / 暂不考虑远端工作
4 到 6 年
Avatar of Wawan Jabrik.
Avatar of Wawan Jabrik.
曾任
Manager @PT Sarinah
2000 ~ 2022
IT Business Analyst / Project manager / Project Coordinator / Manager / Staff IT
一個月內
assets company and their configuration. 2. Responsible for supervising and monitoring the availability of the use of LAN, WAN and MPLS network connection infrastructure. 3. Responsible for making improvements, adding modules and making company business applications and business process systems. 4. Responsible for monitoring, managing and configuring company email and mail server. 5. Responsible for managing the domain, anti-virus and hosting of the company website. 6. Responsible for making IT work and project planning, budget planning and realization of the use of IT budgets. 7. Responsible for
Network Infrastructure
Network Administration
Software Development
待业中
正在积极求职中
全职 / 对远端工作有兴趣
15 年以上
Universitas Mercubuana Jakarta
Informatika
Avatar of the user.
Avatar of the user.
Media Planning Assistant Manager @DAC_台灣迪艾思股份有限公司
2023 ~ 现在
Account Manager
一個月內
Word
Excel
PowerPoint
就职中
正在积极求职中
全职 / 暂不考虑远端工作
4 到 6 年
National Taiwan University
Bachelor
Avatar of Joy Natanael.
Avatar of Joy Natanael.
曾任
Peformance & Mental Coach @Onic Esports
2019 ~ 2021
Marketing
一個月內
s overall goals and objectives. 5. Provide feedback and constructive criticism to players in a supportive manner to help them reach their full potential. 6. Analyze gameplay footage and statistics to identify areas for improvement and track progress over time. 7. Assist players in managing performance-related stress and pressure, and provide mental coaching strategies to enhance their resilience and mental toughness. 8. Stay updated on the latest trends and strategies in the esports industry to continuously improve coaching methods and effectiveness. 9. Foster a positive team culture and environment
Word
Excel
Canva
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Universitas Katolik Atmajaya Jakarta
Akuntansi
Avatar of Alfons Kaizen.
Avatar of Alfons Kaizen.
Senior HR Executive @Cosmic Indonesia
2023 ~ 现在
Human Resources
一個月內
Townhall presentation for HR updates and doing a translation for Indonesia employees Onboarding employees who merged with our holding companies Responsible for the retaining programs and employee wellness Traveling to our branch office and handling the employee's dispute HR Consultant (3 months contract) Simbadda Group • JanuaryMarch 2023 Responsible for managing and updating company regulations such as SOP, PP (Peraturan Perusahaan) renewal Preparing the evaluation material for the employee using OKR Meeting with the owner to handle the HR Issues regarding the underperforming employee Updating the HR Form and drafting PKWTT End-to-end recruitment process Preparing a suitable HRIS
Word
PowerPoint
Excel
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Universitas Katolik Soegijapranata
Bachelor's of Psychology
Avatar of the user.
Avatar of the user.
Staff Software Engineer @全得資通有限公司
2019 ~ 现在
Staff software engineer
一個月內
Flutter App Developement
iOS App Development
Android App Development
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
The University of Auckland
Computer Science
Avatar of 范思良.
Avatar of 范思良.
資深主任工程師 @長青資訊
2017 ~ 现在
資深工程師
一個月內
and maintainable code design. Frameworks & Libraries : Deep understanding of popular Go frameworks and libraries such as Gin and echo for building RESTful services. Familiar with using Go’s testing package for thorough unit and integration tests to ensure reliability and performance. Database Management: Relational Databases : Skilled in managing MySQL databases, with a focus on optimizing database designs through efficient schema creation. Experienced in enhancing query performance using indexing strategies and ensuring data integrity via comprehensive transaction management mechanisms. NoSQL Databases : Extensive experience with NoSQL databases, especially MongoDB, leveraging its flexible schema for rapid development and
golang
MySQL
Docker
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
勤益科技大學
軟體工程
Avatar of 吳堯金 Gin Wu.
Avatar of 吳堯金 Gin Wu.
Design Lead @數字科技股份有限公司
2023 ~ 现在
Senior UI/UX designer / Product designer
一個月內
修改調整和優化。 I work on the product team at "518熊班". We are building a talent matchmaking platform for job seekers and companies, offering easy resume creation and application experiences to help companies quickly find the right talent. Responsible for guiding and managing the design team to ensure that their work aligns with the company's goals and brand positioning. Develop and execute design strategies to ensure alignment between design outputs and company objectives. Manage design projects, including task allocation, setting deadlines, and tracking progress. Provide design guidance to
UI/UXDesign
User Experience Design
Wireframing and Prototyping
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Ming Chuan University
Department of Counseling and Industrial/Organizational Psychology
Avatar of Marko Bogdanovski.
Avatar of Marko Bogdanovski.
Frontend Architect / Lead @Elemental
2021 ~ 2023
Frontend Developer
一個月內
the company's vision to the Design Team and fostering a shared understanding of the product roadmap led to a reduction in design rework and an increase in the number of diverse design solutions, tripling its output. In extension, overall productivity in the company went up by 20%. — Managing frontend goals and epics, ensuring the timely completion of key milestones. — Acted as a mentor to the members of the Dev Team, providing guidance and feedback, assessing their levels, and creating growth tasks. Hosting Platform Developer SBB Serbia BroadBand • July 2016 — December 2020 — Successfully maintained and enhanced
PHP
NoSQL
AWS
就职中
正在积极求职中
全职 / 我只想远端工作
6 到 10 年
ETS "Nikola Tesla"
IT
Avatar of the user.
Avatar of the user.
曾任
Growth & Performance @Hypefast
2020 ~ 2024
Performance Marketing Manager
一個月內
Spreadsheets
Data Analysis
Meta Ads
待业中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
BINUS University
Information System

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对,并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法,且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
团队合作能力
具有向心力与团队责任感,愿意倾听他人意见并主动沟通协调。
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专注于团队发展,有效引领团队采取行动,达成共同目标。
超過一年
Test Solution Engineer @ Micron Technology 台灣美光
Logo of Micron Technology 台灣美光.
Micron Technology 台灣美光
2022 ~ 现在
New Taipei City, Taiwan
专业背景
目前状态
就职中
求职阶段
专业
研发
产业
机械或工业工程
工作年资
4 到 6 年工作经验(6 到 10 年相关工作经验)
管理经历
我有管理 5~10 人的经验
技能
System Identification
Composite Materials
Embedded System
Machine Vision
Control System
Electrical
Network
LabView
Arduino
PLC Programming
machine learning
computer vision
signal processing
PHP development
Wafer
Eager To Learn
语言能力
Chinese
进阶
English
专业
Malay
母语或双语
求职偏好
希望获得的职位
Software Engineer, Research & Development, Project Manager
预期工作模式
全职
期望的工作地点
Taiwan, 台灣
远端工作意愿
对远端工作有兴趣
接案服务
是,我利用业余时间接案
学历
学校
Universiti Malaysia Perlis
主修科系
Mechatronic Engineering
列印
Profile 03 00@2x

ANG JIA YI

Ang Jia Yi currently joins Micron Memory Taiwan as an advance packaging technology development department as silicon integration. He previously had years of experience in various programming language Eg: Modelling, C programming, Python, MATLAB Vision knowledge. He love robotic and have vase knowledge in embedded system

Mechatronic Engineer, Software Engineer, Project Manager, Data Engineer, Research & Development,
TW
[email protected]
Research Gate Page
My Curriculum Vitae


SKILL


C language, Assembly, Python, Basic Stamp, PLC, Matlab, PCB design, Robotics, Embedded system, 3D printing, Control system, Arduino, Microcontroller, LabView, Electronic and Electrical, System Identification, Artificial Neuron Network, Composite materials and piping, Machine Vision, Signal Processing, PHP .


Work Experience

Micron Technology 台灣美光, Test Solution Engineer, Mar 2022 ~ Present

-HBM2e & HBM3 3D Packaging Test Program Development
-Develop test program for HBM production automated test equipment including new test, product algorithms which covers software and hardware requirements.
-Evaluate and verify yield/quality to ensure the -Provide statistical data analysis, analytics and justification on program validation and its release

Micron Technology 台灣美光, APTD SILICON INTEGRATION ENGINEER, Feb 2021 ~ Mar 2022

 HBM2e & HBM3 3D Packaging Research Program and Development
 Analyze and improve BEOL layout and chip package interaction (CPI) failure
 Prepare test environment for new test chip by determine the spec limit and monitor yield.
 Prepare details information for team member by document layout and CPI information.
 Provide layout related support to process team on determine failure

Braintech Sdn Bhd, Project Manager, Jun 2019 ~ Jul 2020

 Manage and maintain brain computer interface the product/software development
 Meet customer timeline and expectation by managing the project flow
 Increase the brain signal channel from 2 to 6 channel by restructure hardware and software
 Interpret brain signal using ANN modelling for hardware application
 Represent company in various talk, expedition, and competition local or oversea

X-CProblem, R&D Engineer, Apr 2014 ~ Oct 2018

Fulfill customer need by dealing with both hardware and software development
 Design a python based raspberry pi MCU tutorial module for lecturer
 Develop a mini demo waves electric generator
 Develop and design a SPA system by preparing the embedded system, custom protocol and PCB circuits to communicate with smartphone device using Bluetooth
 Redesign a hotel door lock system by giving support on the protocol restructure to support IoT system to link with smartphone

Cytron Technology Sdn Bhd, Internship Test Engineer, Jun 2012 ~ Aug 2012

 Design MCU PIC16/18 training kit by prepare coding tutorial and training documentation
 Decode PS2 keyboard/mouse protocol as controller input by prepare sample code/circuit
 Preparing NFC-MCU application by understanding protocol and preparing tutorial
 Design high power motor robot and control using RF signal

EDUCATION

Doctor of Philosophy (Ph.D.) in Mechatronic Engineering, School of Mechatronic Engineering, University Malaysia Perlis, Perlis, Malaysia  2013/10 – 2018/10


Bachelor of Engineering (Hons) in Mechatronic Engineering, School of Mechatronic Engineering, University Malaysia Perlis, Perlis, Malaysia 2009/6 – 2013/10

Professional Certification

Graduate Engineer, Board of Engineer Malaysia (BEM), 102258A (Mechatronic)

Certified LabVIEW Associate Developer (CLAD), 100-312-1821 (National Instruments)

Publication

Universiti Malaysia Perlis, Doctor of Philosophy (PhD), Mechatronic Engineering, 2013 ~ 2018


Thesis title: “Design and Development of Artificial Neural Network Model for Liquid Pressurized System Based on Glass Fibre Reinforced Epoxy (GRE) Composite Pipe”

With the rapid growth of science and technology, glass fibre reinforced epoxy (GRE) composite pipe has become part of the vital engineering elements in the engineering field. Therefore, qualification program plays an important role to ensure that the performance of the GRE pipe has achieved a reliable standard with excellent quality. Conventional test procedure which refers to ISO 14692 qualification test based on the regression analysis requires typically extensive amounts of time and cost to identify the performance of the new composite pipe. With the aid of mathematical modelling, the performance of the composite pipe can be predicted where this can reduce errors when designing the pipe. This research aims to model the performance of the GRE composite pipes and thus, identify the pipe’s first ply failure (FPF). First of all, an artificial neural network (ANN) model was developed to predict the onset of failure of GRE composite pipes. The ANN model was developed using input data namely, modulus of elasticity (axial), modulus of elasticity (hoop), volume fraction, diameter, thickness, pipe winding angle, stress ratio and pressure and the output data from the first-ply failure indicator of experimental data from previous research. The data obtained then underwent the smoothing and classification process to improve the accuracy of the model developed. In the smoothing process, the data was filtered using a smoothing algorithm to remove the unnecessary noise data followed by the classification process which categorised, recognised and differentiated the data from the known population. After the pre-processing, the data was used for the model training process. In the process, neural network training parameters needed to be decided. The parameter decided the number of neurons and the number of layers. In the model development, the mean accuracy of the model was calculated based on ten trials. By analysis and various trials, the highest accuracy model obtained would be used to predict the first-ply failure of the GRE composite pipe. A portable automated pressure test rig was also developed based on the monotonic/cyclic test protocol similar to the procedure elucidated in ASTM D2992 standard. The test rig served as a platform to obtain the experimental data for another model verification procedures. The validation process, on the other hand, was conducted to strengthen the reliability of the ANN model obtained. The validation process of the model was conducted using some other finding which was not included in the training process data. Therefore, the developed model was expected to predict the first-ply failure within the pipe composite laminated under various biaxial stress ratios. From the result, the three-layer ANN model structure was chosen where the means accuracy achieved was within 95%-99.66%. From the model verification process, the pure hydrostatic experimental comparison and the five different stress ratios test for ±55° GRE pipe accuracy was in the range of 77%-97%. For the validation test with experimental findings, a good agreement with the model’s predictions was achieved, with less than 30% variation. From the results, it has suggested that the ANN model can be extended to yield useful predictions of the onset of failure in composite pipes under a range of stress conditions. This can be utilised as an internal means for pipe rating prior to the required standard of the ASTM qualification process.

Universiti Malaysia Perlis, Bachelor of Engineering (Hons)(BEng), Mechatronic Engineering, 2008 ~ 2013


Final Year Project title: “Modeling and Control of Flexible structure for a Satellite Using Active and Passive Damper


Vibration normally will be a problem for satellite since there are disturbance occurred when maneuvering the satellite due to satellite reaction wheel and the solar wind. Therefore studying on vibration is one of the important issues to solve the problem of the vibration. Modeling for the flexible structure for the satellite which causes vibration would be proposed. The appendages of the satellite will only be represented by using a cantilever. Only an appendage will be considered for the sake of analysis. The mathematical equation of the cantilever and its model will be developed and designed in order to make research on it. The combination of embedded system and control system will be applied for analysis and to verify and developed model. Passive damper is introduced in this project to reduce the vibration. Also an active damper will be tested for further reducing the vibration. The development of the flexible model had been verified through cantilever experiment. Passive damper has been used to reduce the vibration and further improvement has been achieved further using an active damper.

Project 1

Projects 00 00@2x

Design and Development of Artificial Neural Network Model for Liquid Pressurized System Based on Glass Fibre Reinforced Epoxy (GRE) Composite Pipe

(Q1, IF: 3.858)

Patent Application No. : PI 2015 700298

Industry Design Application No. : 15-E0048-0101

了解詳情

Project 2

Projects 00 00@2x

Microcontroller-based for system identification tools using least square method for RC circuits

SCOPUS Indexed

了解詳情
Projects 02 00@2x

Intelligent Railway Control & Track Switching

The project is to design an intelligent railway gate control and tracking switching.The project is also programmed using PIC18F4580 using C language. All the information will be sent wirelessly through X-Bee to the PC.

Robotic Arms

Design and develop a robotic arm from hardware design, electric circuit and programming.

Paragraph image 00 00@2x

PCB Inspection Using Machine Vision

This project is design of smart machine vision (SMV) system to identified the damage of circuit board (PCB). This project is only completed using Matlab software which is one of the powerful mathematical toolbox program.

Paragraph image 02 00@2x

Mind Control Race Car

Mind Control VR for gaming


both using mindata chip.


Paragraph image 04 00@2x
Paragraph image 04 01@2x

QRCODE SCANNER

RASPBERRY PI + OPENCV

Wireless Power Transmission


Paragraph image 06 00@2x
Paragraph image 06 01@2x
Paragraph image 06 02@2x

简历
个人档案
Profile 03 00@2x

ANG JIA YI

Ang Jia Yi currently joins Micron Memory Taiwan as an advance packaging technology development department as silicon integration. He previously had years of experience in various programming language Eg: Modelling, C programming, Python, MATLAB Vision knowledge. He love robotic and have vase knowledge in embedded system

Mechatronic Engineer, Software Engineer, Project Manager, Data Engineer, Research & Development,
TW
[email protected]
Research Gate Page
My Curriculum Vitae


SKILL


C language, Assembly, Python, Basic Stamp, PLC, Matlab, PCB design, Robotics, Embedded system, 3D printing, Control system, Arduino, Microcontroller, LabView, Electronic and Electrical, System Identification, Artificial Neuron Network, Composite materials and piping, Machine Vision, Signal Processing, PHP .


Work Experience

Micron Technology 台灣美光, Test Solution Engineer, Mar 2022 ~ Present

-HBM2e & HBM3 3D Packaging Test Program Development
-Develop test program for HBM production automated test equipment including new test, product algorithms which covers software and hardware requirements.
-Evaluate and verify yield/quality to ensure the -Provide statistical data analysis, analytics and justification on program validation and its release

Micron Technology 台灣美光, APTD SILICON INTEGRATION ENGINEER, Feb 2021 ~ Mar 2022

 HBM2e & HBM3 3D Packaging Research Program and Development
 Analyze and improve BEOL layout and chip package interaction (CPI) failure
 Prepare test environment for new test chip by determine the spec limit and monitor yield.
 Prepare details information for team member by document layout and CPI information.
 Provide layout related support to process team on determine failure

Braintech Sdn Bhd, Project Manager, Jun 2019 ~ Jul 2020

 Manage and maintain brain computer interface the product/software development
 Meet customer timeline and expectation by managing the project flow
 Increase the brain signal channel from 2 to 6 channel by restructure hardware and software
 Interpret brain signal using ANN modelling for hardware application
 Represent company in various talk, expedition, and competition local or oversea

X-CProblem, R&D Engineer, Apr 2014 ~ Oct 2018

Fulfill customer need by dealing with both hardware and software development
 Design a python based raspberry pi MCU tutorial module for lecturer
 Develop a mini demo waves electric generator
 Develop and design a SPA system by preparing the embedded system, custom protocol and PCB circuits to communicate with smartphone device using Bluetooth
 Redesign a hotel door lock system by giving support on the protocol restructure to support IoT system to link with smartphone

Cytron Technology Sdn Bhd, Internship Test Engineer, Jun 2012 ~ Aug 2012

 Design MCU PIC16/18 training kit by prepare coding tutorial and training documentation
 Decode PS2 keyboard/mouse protocol as controller input by prepare sample code/circuit
 Preparing NFC-MCU application by understanding protocol and preparing tutorial
 Design high power motor robot and control using RF signal

EDUCATION

Doctor of Philosophy (Ph.D.) in Mechatronic Engineering, School of Mechatronic Engineering, University Malaysia Perlis, Perlis, Malaysia  2013/10 – 2018/10


Bachelor of Engineering (Hons) in Mechatronic Engineering, School of Mechatronic Engineering, University Malaysia Perlis, Perlis, Malaysia 2009/6 – 2013/10

Professional Certification

Graduate Engineer, Board of Engineer Malaysia (BEM), 102258A (Mechatronic)

Certified LabVIEW Associate Developer (CLAD), 100-312-1821 (National Instruments)

Publication

Universiti Malaysia Perlis, Doctor of Philosophy (PhD), Mechatronic Engineering, 2013 ~ 2018


Thesis title: “Design and Development of Artificial Neural Network Model for Liquid Pressurized System Based on Glass Fibre Reinforced Epoxy (GRE) Composite Pipe”

With the rapid growth of science and technology, glass fibre reinforced epoxy (GRE) composite pipe has become part of the vital engineering elements in the engineering field. Therefore, qualification program plays an important role to ensure that the performance of the GRE pipe has achieved a reliable standard with excellent quality. Conventional test procedure which refers to ISO 14692 qualification test based on the regression analysis requires typically extensive amounts of time and cost to identify the performance of the new composite pipe. With the aid of mathematical modelling, the performance of the composite pipe can be predicted where this can reduce errors when designing the pipe. This research aims to model the performance of the GRE composite pipes and thus, identify the pipe’s first ply failure (FPF). First of all, an artificial neural network (ANN) model was developed to predict the onset of failure of GRE composite pipes. The ANN model was developed using input data namely, modulus of elasticity (axial), modulus of elasticity (hoop), volume fraction, diameter, thickness, pipe winding angle, stress ratio and pressure and the output data from the first-ply failure indicator of experimental data from previous research. The data obtained then underwent the smoothing and classification process to improve the accuracy of the model developed. In the smoothing process, the data was filtered using a smoothing algorithm to remove the unnecessary noise data followed by the classification process which categorised, recognised and differentiated the data from the known population. After the pre-processing, the data was used for the model training process. In the process, neural network training parameters needed to be decided. The parameter decided the number of neurons and the number of layers. In the model development, the mean accuracy of the model was calculated based on ten trials. By analysis and various trials, the highest accuracy model obtained would be used to predict the first-ply failure of the GRE composite pipe. A portable automated pressure test rig was also developed based on the monotonic/cyclic test protocol similar to the procedure elucidated in ASTM D2992 standard. The test rig served as a platform to obtain the experimental data for another model verification procedures. The validation process, on the other hand, was conducted to strengthen the reliability of the ANN model obtained. The validation process of the model was conducted using some other finding which was not included in the training process data. Therefore, the developed model was expected to predict the first-ply failure within the pipe composite laminated under various biaxial stress ratios. From the result, the three-layer ANN model structure was chosen where the means accuracy achieved was within 95%-99.66%. From the model verification process, the pure hydrostatic experimental comparison and the five different stress ratios test for ±55° GRE pipe accuracy was in the range of 77%-97%. For the validation test with experimental findings, a good agreement with the model’s predictions was achieved, with less than 30% variation. From the results, it has suggested that the ANN model can be extended to yield useful predictions of the onset of failure in composite pipes under a range of stress conditions. This can be utilised as an internal means for pipe rating prior to the required standard of the ASTM qualification process.

Universiti Malaysia Perlis, Bachelor of Engineering (Hons)(BEng), Mechatronic Engineering, 2008 ~ 2013


Final Year Project title: “Modeling and Control of Flexible structure for a Satellite Using Active and Passive Damper


Vibration normally will be a problem for satellite since there are disturbance occurred when maneuvering the satellite due to satellite reaction wheel and the solar wind. Therefore studying on vibration is one of the important issues to solve the problem of the vibration. Modeling for the flexible structure for the satellite which causes vibration would be proposed. The appendages of the satellite will only be represented by using a cantilever. Only an appendage will be considered for the sake of analysis. The mathematical equation of the cantilever and its model will be developed and designed in order to make research on it. The combination of embedded system and control system will be applied for analysis and to verify and developed model. Passive damper is introduced in this project to reduce the vibration. Also an active damper will be tested for further reducing the vibration. The development of the flexible model had been verified through cantilever experiment. Passive damper has been used to reduce the vibration and further improvement has been achieved further using an active damper.

Project 1

Projects 00 00@2x

Design and Development of Artificial Neural Network Model for Liquid Pressurized System Based on Glass Fibre Reinforced Epoxy (GRE) Composite Pipe

(Q1, IF: 3.858)

Patent Application No. : PI 2015 700298

Industry Design Application No. : 15-E0048-0101

了解詳情

Project 2

Projects 00 00@2x

Microcontroller-based for system identification tools using least square method for RC circuits

SCOPUS Indexed

了解詳情
Projects 02 00@2x

Intelligent Railway Control & Track Switching

The project is to design an intelligent railway gate control and tracking switching.The project is also programmed using PIC18F4580 using C language. All the information will be sent wirelessly through X-Bee to the PC.

Robotic Arms

Design and develop a robotic arm from hardware design, electric circuit and programming.

Paragraph image 00 00@2x

PCB Inspection Using Machine Vision

This project is design of smart machine vision (SMV) system to identified the damage of circuit board (PCB). This project is only completed using Matlab software which is one of the powerful mathematical toolbox program.

Paragraph image 02 00@2x

Mind Control Race Car

Mind Control VR for gaming


both using mindata chip.


Paragraph image 04 00@2x
Paragraph image 04 01@2x

QRCODE SCANNER

RASPBERRY PI + OPENCV

Wireless Power Transmission


Paragraph image 06 00@2x
Paragraph image 06 01@2x
Paragraph image 06 02@2x