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Electrochemical gating of CVD graphene–ZnO based tansistor

AIP Conference Proceedings 2021年第1期2352卷

作者： Lijin George Manu Shaji 1Centre of Excellence in Advanced Materials Cochin University of Science and Technology Cochin India 682022 2Department of Physics Cochin University of Science and Technology Cochin India 682022

Two dimensional semimetal (graphene) and metal oxide (ZnO) is an interesting combination of materials for optoelectronic applications. A schottky junction formed between graphene and ZnO layers and this junction properties can be used for applications like sensors, phototransistors, UV detectors etc. The schottky junction can be tuned applying a suitable gating voltage across the junction. In this work Graphene - ZnO heterostructure was first fabricated and subsequently electrochemically gated transistors were made. Graphene was grown by chemical vapour deposition method on copper substrate and then transferred to Si/***. Hexagonal ZnO nanorods were grown over high quality single layer graphene using two electrode electro-deposition method. This heterostructure was electrochemically gated by using LiClO4 : PEO electrolyte. The electric double layer will induce large amount of charge carriers in graphene - ZnO heterostructure and causes the gating effect. The characterizations of the heterostructure along with the interesting properties of the devices are discussed.

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Electrical modulus and impedance spectroscopy of CoFe2O4 nanoparticles embedded into the PVA matrix

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AIP Conference Proceedings 2020年第1期2265卷

作者： Dhiraj Kumar Rana Shovan Kumar Kundu Soumen Basu 1Centre of Excellence in Advanced Materials National Institute of Technology Durgapur-713209 India 2Department of Physics National Institute of Technology Durgapur-713209 India

Polyvinyl alcohol-Cobalt ferrite (CoFe2O4) (PVA-CFO) flexible nanocomposite films with different concentration of CFO nanoparticles (i.e. 4 and 10 wt%) is successfully synthesized by wet-chemical and drop casting process. The asymmetric nature of the imaginary part of the electric modulus spectra with frequency represent the presence of dielectric relaxation behavior in the charge transport mechanism and follow the non-Debye type behavior. The presence of relaxation peaks also observed in frequency dependent impedance spectroscopy plot. The contribution of grain and the interfacial effect on the conduction mechanism is confirmed from the Nyquist plot. The detailed dielectric relaxation phenomena of charge transport conduction mechanism study here.

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Rice grain moisture sensing based on UHF RFID tag

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AIP Conference Proceedings 2022年第1期2465卷

作者： Ainaa Syamim Mohd Radzi Latifah Munirah Kamarudin Latifah Mohamed Ammar Zakaria Mohd Hafiz Fazalul Rahiman Syed Muhammad Mamduh Syed Zakaria David Lorater Ndzi 1Faculty of Electronic Engineering Technology Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia 2Advanced Sensor Technology Centre of Excellence (CEASTech) Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia. 3Faculty of Electrical Engineering Technology Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia 4School of Computing Engineering and Physical Sciences University of the West of Scotland Paisley PA1 2BE UK

One of the critical steps in the post-production of paddy rice is to be stored in conditions that need to be controlled, especially the moisture content (MC) of the grains. The ability to determine and control moisture is a very important aspect of maintaining grain quality. This study aims to detect the MC of rice grain using UHF RFID technology. In this paper, three experiments have been carried out to detect the MC of rice in full rice grain-filled containers involving two conditions: with metal and without metal containers. The samples used consist of four 2 kg bags with MC levels of 11.875%, 16%, 20%, and 24%. The Received Signal Strength Indicator (RSSI) values were measured using a UHF handheld reader with two RFID tags to predict the MC. The results show an increasing RSSI pattern as the MC increases.

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Relative Localization Method of Wet Spot of Grain using Array of Passive RFID Tags

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Journal of Physics: Conference Series 2021年第1期2107卷

作者： Noraini Azmi Latifah Munirah Kamarudin Latifah Mohamed Ammar Zakaria Mohd Hafiz Fazalul Rahiman Syed Muhammad Mamduh Syed Zakaria David Lorater Ndzi Faculty of Electronic Engineering Technology Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia Advanced Sensor Technology Centre of Excellence (CEASTech) Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis (UniMAP) 02600 Arau Perlis Malaysia School of Computing Engineering and Physical Sciences University of the West of Scotland Paisley PA1 2BE UK

Radio Frequency Identification (RFID) enables a large number of object monitoring since semi/passive tags are independent of batteries. In our previous work, the possibility of using different wireless technologies such as Wireless sensor Network (WSN), Wireless Local Area Network (WLAN) and Radio Frequency Identification (RFID) to determine the moisture content in rice was investigated. Finding from our previous work suggest that RFID can be used to determine the moisture content of rice. While numerous research have been conducted for moisture content of grain, however, to author's knowledge, there is only a few studies conducted on the localization of grain hostpot. Therefore, this study aims to investigate if the passive RFID array can be used to localize the location of the wet spot of grain. Prior, the experiment, a suitable setting for the RFID system were determined. In addition, a simple test was conducted to select a suitable operating frequency. From the investigation, the result indicates that only frequency channels 865, 866, 867, 868 and 869 MHz can detect all 30 tags. Meanwhile, frequency channel in the range 902 to 928 MHz detects 26 to 29 unique tags. Hence, 868 MHz was selected as the operating frequency throughout the experiment. The findings indicate that the RSSI value measured by the RFID reader decreased as the moisture of the sample increased when the tags were blocked by the sample placed at the designated location during the test.

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A review of traditional and deep learning approaches for RGB-D face recognition

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AIP Conference Proceedings 2021年第1期2347卷

作者： P. Shunmugam K. Kamarudin L. M. Kamarudin A. Zakaria A. N. Abdullah 1School of Mechatronic Engineering Universiti Malaysia Perlis Kampus Tetap Pauh Putra 02600 Arau Perlis Malaysia 3Centre of Excellence for Advanced Sensor Technology (CEASTech) Universiti Malaysia Perlis 01000 Kangar Perlis Malaysia 2School of Computer Engineering Universiti Malaysia Perlis Kampus Tetap Pauh Putra 02600 Arau Perlis Malaysia

One of the popularly explored topics for the past few decades in the field of artificial intelligence is face recognition. RGB-D picture-based face recognition has attracted numerous researcher’s interest as it has more benefits compared with two-dimensional face recognitions. This review paper gives a brief review of RGB-D face recognition researches. First, this paper reviewed some of the RGB-D sensors available in the market and its specifications. After that, description and scope of face databases which are utilized to test the accuracy of these face recognition techniques are explored. Finally, this paper presents a summary of traditional techniques and deep learning techniques on RGB-D face recognitions.

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Investigation on magnetometer as potential sensors for infusion pump utilisation status

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Journal of Physics: Conference Series 2021年第1期2107卷

作者： E A R Engku Ariff A Zakaria L M Kamarudin S M M Syed Zakaria S Zakaria R Visvanathan Faculty of Electrical Engineering Technology University Malaysia Perlis (UniMAP) Pauh Putra Campus 02600 Arau Perlis Malaysia Centre of Excellence for Advanced Sensor Technology (CEASTech) Lot 16-21 Pusat Pengajian Jejawi 2 Jalan Jejawi Permatang 02600 Jejawi Arau Perlis Malaysia Faculty of Electronic Engineering Technology University Malaysia Perlis (UniMAP) Pauh Putra Campus 02600 Arau Perlis Malaysia Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis (UniMAP) Pauh Putra Campus 02600 Arau Perlis Malaysia IDERIA Sdn Bhd Lot 30 Tingkat 1 Jalan Medan Niaga Taman Sri Firdaus 01000 Kangar Perlis Malaysia

The utilisation of medical device e.g. an infusion pump is commonly treated as non-trivial process in service and maintenance section albeit in actuality, it is a crucial process for determining its correct maintenance cycle. Therefore, a discussion on the capability of magnetometer sensor as one of potential sensors to be used to keep track the utilisation status of infusion pump. The variation of magnetic flux density and its frequency produced by the stepper motor inside the infusion pump is measured and analysed through magnetometer sensor, embedded inside a Bluetooth Low Energy (BLE) device. Obtained result shows that magnetometer sensor has the potential to track the utilisation status of the tested infusion pumps.

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Two-stream deep convolutional neural network approach for RGB-D face recognition

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AIP Conference Proceedings 2021年第1期2347卷

作者： P. Shunmugam K. Kamarudin L. M. Kamarudin A. Zakaria H. Nishizaki 1School of Mechatronic Engineering Universiti Malaysia Perlis Kampus Tetap Pauh Putra 02600 Arau Perlis Malaysia 3Centre of Excellence for Advanced Sensor Technology (CEASTech) Universiti Malaysia Perlis 01000 Kangar Perlis Malaysia 2School of Computer Engineering Universiti Malaysia Perlis Kampus Tetap Pauh Putra 02600 Arau Perlis Malaysia 4Graduate School of Medicine and Engineering University of Yamanashi 4 Chome-4-37 Takeda Kofu Yamanashi 400-8510 Japan

Two-dimensional face recognition has been researched for the past few decades. With the recent development of Deep Convolutional Neural Network (DCNN) deep learning approaches, two-dimensional face recognition had achieved impressive recognition accuracy rate. However, there are still some challenges such as pose variation, scene illumination, facial emotions, facial occlusions exist in the two-dimensional face recognition. This problem can be solved by adding the depth images as input as it provides valuable information to help model facial boundaries and understand the global facial layout and provide low-frequency patterns. RGB-D images are more robust compared to RGB images. Unfortunately, the lack of sufficient RGB-D face databases to train the DCNN are the main reason for this research to remain undiscovered. So, in this research, new RGB-D face database is constructed using the Intel RealSense D435 Depth Camera which has 1280 x 720-pixel depth. Twin DCNN streams are developed and trained on RGB images at one stream and Depth images at another stream, and finally combined the output through fusion soft-max layers. The proposed DCNN model shows an accuracy of 95% on a newly constructed RGB-D database.

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Development of Au doped TiO2 nanofibers for photocatalytic applications

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AIP Conference Proceedings 2019年第1期2082卷

作者： P. M. Aswathy P. Sarina M. K. Kavitha M. J. Priya Honey John M. K. Jayaraj 1Centre of Excellence in Advanced Materials Cochin University of Science and Technology Kochi Kerala India 2Department of Physics Cochin University of Science and Technology Kochi Kerala India 3Inter University Centre for Nanomterials and Devices Cochin University of Science and Technology Kochi Kerala India

Pure and Au doped TiO2 nanofibers (Au wt%=0.5, 1, 2 and 3) were successfully synthesized by electrospinning technique followed by annealing at 550 °C. The crystal structure, morphology and optical properties were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) and UV-Visible spectroscopy. The photocatalytic activity of pure and Au doped TiO2 nanofibers were examined by photo degradation of methylene blue (MB) in water under ultraviolet (UV) and visible light irradiation separately. It is found that photocatalytic activity of pure TiO2 nanofibers is higher under visible light irradiation than under UV light. However, for Au doped TiO2 nanofibers the rate of degradation of MB is higher under UV light than under visible light irradiation. The efficiency of photo degradation is found to be slightly enhanced for 1 wt% Au doped TiO2 nanofibers than pure TiO2 nanofiber under UV irradiation. At higher concentration of Au doping, rate of degradation is decreased.

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Improved acetone sensing properties of electrospun Au-doped SnO2 nanofibers

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AIP Conference Proceedings 2019年第1期2082卷

作者： M. J. Priya P. M. Aswathy M. K. Kavitha M. K. Jayaraj K. Rajeev Kumar 1Centre of Excellence in Advanced Materials Cochin University of Science and Technology Kochi Kerala India 2Department of physics Cochin University of Science and Technology Kochi Kerala 682022 India 4Inter University Centre for Nano Materials and Devices Cochin University of Science and Technology Kochi Kerala 682022 India 3Department of Instrumentation Cochin University of Science and Technology Kochi Kerala 682022 India

Pure and Au-doped SnO2 nanofibers were synthesized by electrospinning technique and followed by calcination at 600°C for 2 h. The microstructure, crystal structure and optical characterization of the as-prepared calcined pure and Au doped SnO2 nanofibers were done. Comparing with pure SnO2 nanofibers, 2wt% Au-doped SnO2 nanofibers exhibit improved acetone sensing properties at 250°C.

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Reduced graphene oxide/molecular imprinted polymer-organic thin film transistor for amino acid detection

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AIP Conference Proceedings 2017年第1期1808卷

作者： Nurul Farhanah AB. Halim Nur Hazwani Musa Zulkhairi Zakaria Mubaraq Von Schleusingen Mohd Noor Ahmad Nazree Derman Ali Yeon Md. Shakaff 1Centre of Excellence for Advanced Sensor Technology (CEASTech) University Malaysia Perlis Malaysia 2School of Material Engineering University Malaysia Perlis Malaysia

This works reports the electrical performance of reduced graphene oxide (RGO)/Molecular imprinted polymer (MIP)- organic thin film transistor (OTFT) for amino-acid detection, serine. These biomimetic sensors consider MIP as man-tailored biomimetic recognition sites that play an important role in signal transduction. MIP provides recognition sites compatible with serine molecules was developed by dispersing serine with methylacrylate acid (MAA) as functional monomer and Ethylene glycol dimethylacrylate (EGDMA) as cross-linker. The imprinted polymeric were mixed with reduced graphene oxide to produced sensing layer for the sensor. RGO-MIP layer was introduced between source and drain of OTFT via spin coating as a detecting layer for serine molecules. RGO was introduced into MIP, to allow a highly conductive sensing material thus enhanced selectivity and sensitivity of the sensor. By analyzing the electrical performance of the sensors, the performances of OTFT sensor enhanced with RGO/MIP interlayer and OTFT sensor with MIP interlayer when exposed to serine analyte were obtained. The results showed that there were remarkable shifts of drain current (ID) obtained from OTFT sensor with RGO/MIP interlayer after exposed to serine analyte. Moreover, the sensitivity of OTFT sensor with RGO/MIP interlayer was nearly higher than the OTFT sensor with MIP interlayer. Hence, it proved that RGO successfully enhanced the sensing performance of OTFT sensor.

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