cover
Filter by Year
Bulletin of Electrical Engineering and Informatics
Articles
436
Articles
Self-switching Diodes as RF Rectifiers: Evaluation Methods and Current Progress

Farhani Zakaria, Nor ( Universiti Malaysia Perlis ) , Rizal Kasjoo, Shahrir ( Universiti Malaysia Perlis ) , Mohamad Isa, Muammar ( Universiti Malaysia Perlis ) , Zailan, Zarimawaty ( Universiti Malaysia Perlis ) , Khairuddin Md Arshad, Mohd ( Universiti Malaysia Perlis ) , Taking, Sanna ( Universiti Malaysia Perlis )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

In the advancement of the Internet of Things (IoT) applications, widespread uses and applications of devices require higher frequency connectivity to be explored and exploited. Furthermore, the size, weight, power and cost demands for the IoT ecosystems also creates a new paradigm for the hardware where improved power efficiency and efficient wireless transmission needed to be investigated and made feasible. As such, functional microwave detectors to detect and rectify the signals transmitted in higher frequency regions are crucial. This paper reviewed the practicability of self switching diodes as Radio Frequency (RF) rectifiers. The existing methods used in the evaluation of the rectification performance and cut-off frequency are reviewed, and current achievements are then concluded. The works reviewed in this paper highlights the functionality of SSD as a RF rectifier with design simplicity, which may offer cheaper alternatives in current high frequency rectifying devices for application in low-power devices.

A Novel approach for Asynchronous Microprocessor Design and its Implementation on FPGA

Rani, Archana ( Manav Rachna International University ) , Grover, Naresh ( Manav Rachna International University )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

The asynchronous processors have a number of advantages, especially in SoC (System on chip) including reduced crosstalk between analog and digital circuits, ease of integrating multi-rate circuits, ease of component reuse and less power consumption as well. This paper presents processor architecture design, its implementation followed by processor instruction set, data path flow for fetching unit, Register type, I-type and load /store type instruction flow. Thereafter this paper illustrates control unit design of processor that shows the controlling of signals for different units in processor design. Further, a complete internal structure is shown followed by features of novel processor architecture. It has capability of handling even I-Type, R-Type and Jump instructions with multiplier instruction packet. Moreover, it uses separate memory for instructions and data read-write that can be changed at any time.In the end, results have been shown using implementation windows. The complete design has been written using VHDL and then simulated and synthesized by XILINX ISE tool.

A Game Theoretic Approach for Competition over Visibility in Social Networks

Touya, Khadija ( Sultan Moulay Slimane University ) , Baslam, Mohamed ( Sultan Moulay Slimane University ) , El Ayachi, Rachid ( Sultan Moulay Slimane University ) , Jourhmane, Mostafa ( Sultan Moulay Slimane University )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

Social Networks have known an important evolution in the last few years. These structures, made up of individuals who are tied by one or more specific types of interdependency, constitute the window for members to express their opinions and thoughts by sending posts to their own walls or others timelines. Actually, when a content arrives, its located on the top of the timeline pushing away older messages. This situation causes a permanent competition over visibility among subscribers who jump on opponents to promote conflict. Our study presents this competition as a non-cooperative game; each source has to choose frequencies which assure its visibility. We model it, exploring the theory of concave games, to reach a situation of equilibrium; a situation where no player has the ultimate ability to deviate from its current strategy. We formulate the named game, then we analyze it and prove that there is exactly one Nash equilibrium which is the convergence of all players best responses. We finally provide some numerical results, taking into consideration a system of two sources with a specific frequency space, and analyze the effect of different parameters on sources visibility on the walls of social networks.

Routing Performance of Structured Overlay in Distributed Hash Tables (DHT) for P2P

Ruslan, Rafiza ( Universiti Teknologi MARA Perlis ) , Shaqirra Mohd Zailani, Ayu ( Universiti Teknologi MARA Perlis ) , Hidayah Mohd Zukri, Nurul ( Universiti Teknologi MARA Perlis ) , Khairani Kamarudin, Nur ( Khairani Kamarudin ) , Jamel Elias, Shamsul ( Universiti Sultan Zainal Abidin (UniSZA) ) , Badlishah Ahmad, R. ( Universiti Sultan Zainal Abidin (UniSZA) )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

This paper presents a routing performance analysis of structured P2P overlay network. Due to the rapid development and hectic life, sharing data wirelessly is essential. P2P allows participating peers move freely by joining and leaving the network at any convenience time. Therefore, it exists constraint when one measuring the network performance. Moreover, the design of structured overlay networks is fragmented and with various design. P2P networks need to have a reliable routing protocol. In order to analyse the routing performance, this work simulates three structured overlay protocols – Chord, Pastry and Kademlia using OMNeT++ with INET and OverSim module. The result shows that Pastry is the best among others with 100% routing efficiency. However, Kademlia leads with 12.76% and 18.78% better than Chord and Pastry in lookup hop count and lookup success latency respectively. Hence, Pastry and Kamelia architectures will have a better choice for implementing structured overlay P2P network.

Analysis of Near-Infrared (NIR) Spectroscopy for Chlorophyll Prediction in Oil Palm Leaves

Shafiq Amirul Sabri, Mohd. ( Universiti Malaysia Perlis ) , Endut, R. ( Universiti Malaysia Perlis ) , B.M. Rashidi, C. ( Universiti Malaysia Perlis ) , R. Laili, A. ( Technology Park Malaysia ) , A. Aljunid, S. ( Universiti Malaysia Perlis ) , Ali, N. ( Universiti Malaysia Perlis )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

Oil palm nutrient content is investigated with using chlorophyll as a representative factor correlated with NIR spectroscopy spectral absorbance. NIR spectroscopy method of sampling have been tested to overcome time consuming, complex chemical analysis procedure and invasive sampling method in order to identify chlorophyll content in an oil palm tree. Spectral absorbance data from range 900 nm to 1700 nm and chlorophyll data, then tested through five pre-processing methods which is Savitzky-Golay Smoothing (SGS), Multiplicative Scatter Correction (MSC), Single Normal Variation (SNV), First Derivative (1D) and also Second Derivative (2D) using Partial Least Square (PLS) regression prediction model to evaluate the correlation between both data. The overall results show, SGS has the best performance for preprocessing method with the results, the coefficient of determination (R2) values of 0.9998 and root mean square error (RMSE) values of 0.0639. In summary, correlation of NIR spectral absorbance data and chlorophyll can be achieved using a PLS regression model with SGS pre-processing technique. Thus, we can conclude that NIR spectroscopy method can be used to identify chlorophyll content in oil palm with using time saving, simple sampling and non-invasive method.

High Availability of Data using Automatic Selection Algorithm (ASA) in Distributed Stream Processing Systems

Alshamrani, Sultan ( Taif University ) , Alhumyani, Hesham ( Taif University ) , Waseem, Quadri ( Taif University ) , Noor Mohamed, Isbudeen ( Taif University )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

High Availability of data is one of the most critical requirements of a distributed stream processing systems (DSPS). We can achieve high availability using available recovering techniques, which include (active backup, passive backup and upstream backup). Each recovery technique has its own advantages and disadvantages. They are used for different type of failures based on the type and the nature of the failures. This paper presents an Automatic selection algorithm (ASA) which will help in selecting the best recovery techniques based on the type of failures. We intend to use together all different recovery approaches available (i.e., active standby, passive standby, and upstream standby) at nodes in a distributed stream-processing system (DSPS) based upon the system requirements and a failure type). By doing this, we will achieve all benefits of fastest recovery, precise recovery and a lower runtime overhead in a single solution. We evaluate our automatic selection algorithm (ASA) approach as an algorithm selector during the runtime of stream processing. Moreover, we also evaluated its efficiency in comparison with the time factor. The experimental results show that our approach is 95% efficient and fast than other conventional manual failure recovery approaches and is hence totally automatic in nature.

Hand Motion Pattern Recognition Analysis of Forearm Muscle using MMG Signals

R. Mohamad Ismail, M. ( Universiti Malaysia Perlis ) , K. Lam, C. ( Universiti Malaysia Perlis ) , Sundaraj, K. ( Universiti Teknikal Melaka ) , H. F. Rahiman, M. ( Universiti Malaysia Perlis )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

Surface Mechanomyography (MMG) is the recording of mechanical activity of muscle tissue. MMG measures the mechanical signal (vibration of muscle) that generated from the muscles during contraction or relaxation action. It is widely used in various fields such as medical diagnosis, rehabilitation purpose and engineering applications. The main purpose of this research is to identify the hand gesture movement via VMG sensor (TSD250A) and classify them using Linear Discriminant Analysis (LDA). There are four channels MMG signal placed into adjacent muscles which PL-FCU and ED-ECU. The features used to feed the classifier to determine accuracy are mean absolute value, standard deviation, variance and root mean square. Most of subjects gave similar range of MMG signal of extraction values because of the adjacent muscle. The average accuracy of LDA is approximately 87.50% for the eight subjects. The finding of the result shows, MMG signal of adjacent muscle can affect the classification accuracy of the classifier.

An Efficient Algorithm for Monitoring Virtual Machines in Clouds

Alshamrani, Sultan ( Taif University )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

Cloud computing systems consist of a pool of Virtual Machines (VMs), which are installed physically on the providers set up. The main aim of the VMs is to offer the service to the end users. With the current increasing demand for the cloud VMs, there is always a huge requirement to secure the cloud systems. To keep these cloud systems secured, they need a continuous and a proper monitoring. For the purpose of monitoring, several algorithms are available with FVMs. FVM is a forensic virtual machine which monitors the threats among the VMs. Our formulated algorithm runs on FVM. In this paper, we formulate the Random-Start-Round-Robin algorithm for monitoring inside FVM.

Face Recognition Using Assemble of Low Frequency of DCT Features

Abdullah Raja Ahmad, Raja ( Universiti Malaysia Perlis ) , Imran Ahmad, Muhammad ( Universiti Malaysia Perlis ) , Nazrin Md Isa, Mohd ( Universiti Malaysia Perlis ) , Amirul Anwar, Said ( Universiti Malaysia Perlis )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

Face recognition is a challenge due to facial expression, direction, light, and scale variations. The system requires a suitable algorithm to perform recognition task in order to reduce the system complexity. This paper focuses on a development of a new local feature extraction in frequency domain to reduce dimension of feature space. In the propose method, assemble of DCT coefficients are used to extract important features and reduces the features vector. PCA is performed to further reduce feature dimension by using linear projection of original image. The proposed of assemble low frequency coefficients and features reduction method is able to increase discriminant power in low dimensional feature space. The classification is performed by using the Euclidean distance score between the projection of test and train images. The algorithm is implemented on DSP processor which has the same performance as PC based. The experiment is conducted using ORL standard face databases the best performance achieved by this method is 100%. The execution time to recognize 40 peoples is 0.3313 second when tested using DSP processor. The proposed method has a high degree of recognition accuracy and fast computational time when implemented in embedded platform such as DSP processor.

VMQ: An Algorithm for Measuring the Video Motion Quality

O. Alsrehin, Nawaf ( Yarmouk University ) , F. Klaib, Ahmad ( Yarmouk University )

Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar |

Abstract

This paper proposes a new full-reference algorithm, called Video Motion Quality (VMQ) that evaluates the relative motion quality of the distorted video generated from the reference video based on all the frames from both videos. VMQ uses any frame-based metric to compare frames from the original and distorted videos. It uses the time stamp for each frame to measure the intersection values. VMQ combines the comparison values with the intersection values in an aggregation function to produce the final result. To explore the efficiency of the VMQ, we used a set of raw, uncompressed videos to generate a new set of encoded videos. These encoded videos are then used to generate a new set of distorted videos which have the same video bit rate and frame size but with reduced frame rate. To evaluate the VMQ, we applied the VMQ by comparing the encoded videos with the distorted videos and recorded the results. The initial evaluation results showed compatible trends with most of subjective evaluation results.