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Dive into the research topics where Peh Chiong Teh is active.

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Featured researches published by Peh Chiong Teh.


international conference on intelligent and advanced systems | 2014

A simple data storage system using QR code

Kim Ho Yeap; Yuen Kiat Cheong; Humaira Nisar; Peh Chiong Teh

Due to its limited data area, QR codes are presently restricted to storing simple text messages. In this paper, we develop a novel method to expand the storage capacity of QR codes. We propose to compress the file first before encoding it into a QR code. Doing so, we would be able to store more complicated files which require more storage capacity. In our study, we show that both monochrome and colour image files, as well as, voice messages in midi format could be encoded to and decoded from the QR codes.


ieee international conference on photonics | 2014

An 1μm all-fiber based pulsed laser system incorporating an agile waveform tailoring driver

C. E. Ong; Yi Heng Ho; Kim Ho Yeap; Sheng Chyan Lee; Peh Chiong Teh; P. S. Teh

This paper describes a 1.06μm all-fiber based pulsed laser source incorporating an agile Field Programmable Gate Array (FPGA) based driver board, which has the capabilities to generate pulses with arbitrary shapes and controllable bursts. Optical pulse durations tunable from picoseconds to nanoseconds, as well as pulse frequency adjustments from 1kHz to 1MHz can be achieved. An average optical power of 1W can be obtained from the amplified system with the output optical pulses optimized by reshaping the input pulses using this agile waveform tailoring method.


GREEN AND SUSTAINABLE TECHNOLOGY: 2nd International Symposium (ISGST2017) | 2017

Water contaminants detection by a supercontinuum laser system

Peh Chiong Teh; Yi Heng Ho; Koon Chun Lai; Kim Ho Yeap; Chu En Ong; Sheng Chyan Lee; Peh Siong Teh; Kok Leng Tey

Heavy metal contaminant in the water aquifers is an environmental threat. In present study, by utilizing a broadband supercontinuum (SC) laser source, detection of the contaminants is achieved through emission of broad spectrum of lights. By measuring the amount of light transmitted through the water sample, the presence of heavy metal contaminants is thus determined. A statistical analysis is conducted to analyze the performance of water contaminants detection. Interactive effects between three independent factors namely wavelength of the SC source, concentration of the heavy metal contaminants and input power are examined. Optimal operational conditions are obtained along with longer wavelength, lesser concentration of contaminants and lower power source. Under these conditions, high detection rate could be achieved with a transmittance value at 0.751.


ieee international conference on photonics | 2016

Compact, all fiber picosecond MOPA for supercontinuum generation

Peh Chiong Teh; Yi Heng Ho; C. E. Ong; Sheng Chyan Lee; P. S. Teh

We report a compact, all fiber, 150 ps picosecond fiber Master-Oscillator-Power-Amplifier (MOPA) that is capable of producing a maximum average output power of 2.16 W with peak power excessing 10 kW. The output from the MOPA is coupled into a PCF fiber, generating a broad continuum with spectrum bandwidth spanning from 600 nm to 1700nm.


Asia Communications and Photonics Conference 2015 (2015), paper AS4I.7 | 2015

Novel Detection of Heavy Metals in Water using Supercontinuum Broadband Laser Source

Peh Chiong Teh; Yi Heng Ho; Sheng Chyan Lee; Po Kim Lo; Koon Chun Lai; Kim Ho Yeap; Kok Leng Tey

We report a novel detection technique for two types of common heavy metal contaminants in water, copper sulphate and ferric chloride, by analyzing the transmittance measurement of a supercontinuum laser source onto the samples.


ieee international conference on photonics | 2013

Flexible pulse-width tunable 1.06µm pulsed laser source utilizing a FPGA based waveform generator

C. E. Ong; Kim Ho Yeap; Sheng Chyan Lee; Peh Chiong Teh

This paper describes our 1.06um pulsed laser source which has the capability to generate pulses with tunable durations from picoseconds to nanoseconds. This is made possible through the use of a high speed Field Programmable Gate Array (FPGA) board to generate the required pulses/ any arbitrary waveforms. The FPGA codes are specially designed to generate very fast rise/fall times waveforms with the flexibility to vary both the pulse duration and pulse frequency in real time. These custom defined waveforms are then used to generate high intensity laser pulses when connected to a 1064nm fiber laser source. These tunable pulsed laser sources have potential industrial applications in precision laser micro machining, where the high thermal intensity of the laser pulses can be used to perform ablation, cutting, drilling or annealing of processed materials. Furthermore, by able to tailor the shape of the delivered laser pulses, this will lead to reduction in processing time, improves the efficiency of material removal and the quality of the end product. Our custom board can generate arbitrary tailored pulses as short as 200ps and the longest pulse is 200ns. The pulse repetition rate can be tuned from 20 kHz to 1MHz.


Procedia Computer Science | 2016

Modeling Electrostatic Separation Process Using Artificial Neural Network (ANN)

Koon Chun Lai; Soo King Lim; Peh Chiong Teh; Kim Ho Yeap


Microwave and Optical Technology Letters | 2017

A compact CPW‐fed antenna with fractal S‐shaped patches for multiband applications

Hau Ran Cheong; Kim Ho Yeap; Koon Chun Lai; Peh Chiong Teh; Humaira Nisar


Polish Journal of Environmental Studies | 2017

An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery

Koon Chun Lai; Soo King Lim; Peh Chiong Teh; Kim Ho Yeap


Microwave and Optical Technology Letters | 2017

A compact dual‐band hook‐shaped antenna for wireless applications

Wei Long Yeo; Koon Chun Lai; Kim Ho Yeap; Peh Chiong Teh; Humaira Nisar

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Kim Ho Yeap

Universiti Tunku Abdul Rahman

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Koon Chun Lai

Universiti Tunku Abdul Rahman

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Humaira Nisar

Universiti Tunku Abdul Rahman

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Sheng Chyan Lee

Universiti Tunku Abdul Rahman

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Yi Heng Ho

Universiti Tunku Abdul Rahman

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C. E. Ong

Universiti Tunku Abdul Rahman

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Soo King Lim

Universiti Tunku Abdul Rahman

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Wei Long Yeo

Universiti Tunku Abdul Rahman

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Hau Ran Cheong

Universiti Tunku Abdul Rahman

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Kang Wei Thee

Universiti Tunku Abdul Rahman

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