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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Asral Bahari Jambek
Universiti Malaysia Perlis
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

 1 
Performance evaluation of arithmetic coding data compression for internet of things applications Nor Asilah Khairi; Asral Bahari Jambek; Rizalafande Che Ismail
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp591-597

Abstract

Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.
Implementation of an ARM-based system using a Xilinx ZYNQ SoC Omar Salem Baans; Asral Bahari Jambek
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp485-491

Abstract

ARM processors are widely used in embedded systems. They are often implemented as microcontrollers, field-programmable gate arrays (FPGAs) or systems-on-chip. In this paper, a variety of ARM processor platform implementations are reviewed, such as implementation into a microcontroller, a system-on-chip and a hybrid ARM-FPGA platform. Furthermore, the implementation of a specific ARM processor, the Cortex-A9 processor, into a system-on-chip (SoC) on an FPGA is discussed using Xilinx’s Vivado and SDK software system and execution on a Xilinx Zynq Board.
Biomedical health monitoring system design and analysis Nur Athilah Abdul Rahman; Asral Bahari Jambek
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1056-1064

Abstract

e-Health remote monitoring systems have bloomed rapidly with a myriad of applications. This paper discusses a design of a remote monitoring device for biomedical field. Four biomedical sensors which are electrocardiography (ECG), airflow, galvanic skin response and temperature with two boards which are the e-Health Shield Board V2.0 and Arduino Uno Board are used. The results show satisfactory output for each experiment using two test subjects. The device able to achieve high accuracy where percentage of temperature difference is less than 1% compared to the commercial devices with an average power consumption of each working sensor on board is ≤9W.
Implementation of a camera system using nios II on the altera DE2-70 board Chan Boon Cheng; Asral Bahari Jambek
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp513-522

Abstract

The implementation of a camera system with a field programmable gate array (FPGA) is an important step within research towards constructing a video processing architecture design based on FPGA. This paper presents the design and implementation of a camera system using the Nios II soft-core embedded processor from Altera. The proposed camera system is a flexible platform for the implementation of other systems such as image processing and video processing. The system architecture is designed using the Quartus II SOPC Builder System and implemented on an Altera DE2-70 development platform. The image or video is captured using a Terasic TRDB-D5M camera and stored into two different synchronous dynamic random access memories (SDRAM) using an SDRAM Controller. The specifications of the Terasic TRDB-D5M and SDRAM are examined to confirm that the recorded and stored data match. The results of this experiment show that the system is able to record and store data correctly into SDRAM. The data in the SDRAM correctly displays the recorded image on a VGA monitor.
Co-Authors Chan Boon Cheng Nor Asilah Khairi Nur Athilah Abdul Rahman Omar Salem Baans Rizalafande Che Ismail Teh Yi Jun Uda Hashim