Articles
90 Documents
Search results for
, issue
"Vol 8, No 2: June 2019"
:
90 Documents
clear
<![CDATA[The effects of rain fade on millimetre wave channel in tropical climate ]]>
<![CDATA[Asma Ali Budalal]]>;
<![CDATA[Islam Md Rafiqul]]>;
<![CDATA[Mohamed Hadi Habaebi]]>;
<![CDATA[Tharek Abd. Rahman]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (775.907 KB)
|
DOI: 10.11591/eei.v8i2.1487
<![CDATA[The main objective of this paper to determine multipath and time-varying channel behaviour of short-terrestrial millimetre-wave point-to-point radio links. In an attempt to invigorate the impact of rain attenuation on mm-wave channel parameters such as the RMS delay spread, path loss received power strength and Rician distribution with a K factor. A brief analysis of rain fading was presented based on the simultaneous measurement of one-minute rain rate and its effects on a short experimental link of 38 GHz. Rain fade average is observed as high as 16 dB for 300 m path at about 125 mm/hr rain intensity. The statistical spatial channel mode (SSCM) simulation software was utilized for an operating frequency of 38 GHz. To generate of power delay profile (PDP). For both omnidirectional and directional antenna. The RMS delay spread and path loss has been estimated using the environmental parameters of Kuala Lumpur city which illustrates the theoretical performances of 5G in Malaysia. It is observed that RMS delay spread, path loss received power strength and K factor effected dramatically by rain fade. (SSCM) simulation software has to be modified to consider rain fade dynamic characteristics to achieve ultra-reliability requirements of outdoor applications in the tropical regions. This study is important for understanding signal propagation phenomena in short distance and enabling the utilization of the millimetre wave band for an urban micro-cellular environment for 5G communication system.]]>
<![CDATA[Improved voice quality with the combination of transport layer & audio codec for wireless devices ]]>
<![CDATA[Othman O. Khalifa]]>;
<![CDATA[Raihan Jannati Binti Roslin]]>;
<![CDATA[Sharif Shah Newaj Bhuiyan]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (619.815 KB)
|
DOI: 10.11591/eei.v8i2.1490
<![CDATA[Improving voice quality over wireless communication becomes a demanding feature for social media apps like facebook, whatsapp and other communication channels. Voice-over-internet protocol (VoIP) helps us to make quick telephone calls over the internet. It includes various mechanism which are signaling, controlling and transport layer. Over wireless links, packet loss and high transmission delay damage voice quality. Here VoIP quality will be measured by three main elements which are signaling protocol, audio codec and transport layer. To improve the overall voice quality, we need to combine these three elements properly to get the best score. Otherwise perceptual speech quality will not be the right tool to measure the voice quality. Here we will use Mean Opinion Score (MOS) for calculated jitter values and end to end delay. At the end, best combination of audio codec & signaling protocol produced the quality speech.]]>
<![CDATA[High speed internet development in Africa using 4G-LTE technology-a review ]]>
<![CDATA[Mohamed Njikam]]>;
<![CDATA[Nanna S.]]>;
<![CDATA[Shahrin S.]]>;
<![CDATA[Mohd Fairuz Iskandar Othman]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (636.289 KB)
|
DOI: 10.11591/eei.v8i1.684
<![CDATA[The African continent is ranked second most populated region and has a huge amount of natural resources to be locally transformed or outsourced overseas. The traditional telecommunications system has helped connect people and enabled them to manage their businesses and trading in Africa for a long-time; many African countries have embarked early in changing their network and technology systems during the first years of the information age. Over a few decades ago, the introduction of new telecommunication methods and techniques have influenced much of African countries’ growth via different perspectives. The situation has triggered an enormous interest in people. They analyzed the factors supporting such changes, which in the case of this paper is all about the advent and adoption of LTE/4G-LTE technologies including its service commercialization in Africa. This review article attempts to provide an overview of 4G-LTE networks technologies and the internet; it includes the current evolution of telecommunication networks within and even beyond the African continent, assisted by the 4G-LTE expansion. An extended view is provided throughout this article’s development with respect to what could be expected (or is missing) for the sake of this continent’s telecommunication infrastructure enhancement and a better QoS to Africa’s dwellers.]]>
<![CDATA[A Game theoretic approach for competition over visibility in social networks ]]>
<![CDATA[Khadija Touya]]>;
<![CDATA[Mohamed Baslam]]>;
<![CDATA[Rachid El Ayachi]]>;
<![CDATA[Mostafa Jourhmane]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (414.586 KB)
|
DOI: 10.11591/eei.v8i2.728
<![CDATA[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, it's 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.]]>
<![CDATA[IoT-based electricity energy monitoring system at Universiti Teknikal Malaysia Melaka ]]>
<![CDATA[Meysam Shamshiri]]>;
<![CDATA[Chin Kim Gan]]>;
<![CDATA[Kyairul Azmi Baharin]]>;
<![CDATA[Mohd Arif Mohd Azman]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (461.942 KB)
|
DOI: 10.11591/eei.v8i3.1281
<![CDATA[Electricity bill is one of the major operating expenses in most of the commercial buildings and industrial plants. Thus, the buildings’ energy management system is an essential element that should be utilized to optimize the energy usage and hence, contributes to carbon footprint reduction. To achieve this, one needs to first understand how the energy is being used in the buildings before any saving measures can be identified and proposed. Therefore, this paper presents the development of an Internet of Things (IoT) enabled device that can communicate with different digital energy meters through modbus protocol. The prototype has been successfully installed in three locations in the main campus of Universiti Teknikal Malaysia Melaka (UTeM). The proposed solution enables the campus-wide energy usage to be monitored and stored efficiently and economically as opposed to the capital-intensive SCADA system.]]>
<![CDATA[High availability of data using Automatic Selection Algorithm (ASA) in distributed stream processing systems ]]>
<![CDATA[Sultan Alshamrani]]>;
<![CDATA[Hesham Alhumyani]]>;
<![CDATA[Quadri Waseem]]>;
<![CDATA[Isbudeen Noor Mohamed]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (704.416 KB)
|
DOI: 10.11591/eei.v8i2.1414
<![CDATA[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.]]>
<![CDATA[An efficient algorithm for monitoring virtual machines in clouds ]]>
<![CDATA[Sultan Alshamrani]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (688.566 KB)
|
DOI: 10.11591/eei.v8i2.1416
<![CDATA[Cloud computing systems consist of a pool of Virtual Machines (VMs), which are installed physically on the provider's 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.]]>
<![CDATA[Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status ]]>
<![CDATA[Salami Ifedapo Abdullahi]]>;
<![CDATA[Mohamed Hadi Habaebi]]>;
<![CDATA[Noreha Abd Malik]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1212.957 KB)
|
DOI: 10.11591/eei.v8i2.1504
<![CDATA[The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network is used.]]>
<![CDATA[A novel bio-inspired routing algorithm based on ACO for WSNs ]]>
<![CDATA[Afsah Sharmin]]>;
<![CDATA[F. Anwar]]>;
<![CDATA[S. M. A. Motakabber]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1030.413 KB)
|
DOI: 10.11591/eei.v8i3.1492
<![CDATA[The methods to achieve efficient routing in energy constrained wireless sensor networks (WSNs) is a fundamental issue in networking research. A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. The issue of path selection to reach the nodes and vital correspondence parameters, for example, the versatility of nodes, their constrained vitality, the node residual energy and route length are considered since the communications parameters and imperatives must be taken into account by the imperative systems that mediate in the correspondence procedure, and the focal points of the subterranean insect framework have been utilized furthermore. Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.]]>
<![CDATA[The disruptometer: an artificial intelligence algorithm for market insights ]]>
<![CDATA[Mimi Aminah binti Wan Nordin]]>;
<![CDATA[Dmitry Vedenyapin]]>;
<![CDATA[Muhammad Fahreza Alghifari]]>;
<![CDATA[Teddy Surya Gunawan]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (550.211 KB)
|
DOI: 10.11591/eei.v8i2.1494
<![CDATA[Social media data mining is rapidly developing to be a mainstream tool for marketing insights in today’s world, due to the abundance of data and often freely accessed information. In this paper, we propose a framework for market research purposes called the Disruptometer. The algorithm uses keywords to provide different types of market insights from data crawling. The preliminary algorithm data-mines information from Twitter and outputs 2 parameters-Product-to-Market Fit and Disruption Quotient, which is obtained from a brand’s customer value proposition, problem space, and incumbent space. The algorithm has been tested with a venture capitalist portfolio company and market research firm to show high correlated results. Out of 4 brand use cases, 3 obtained identical results with the analysts ‘studies.]]>
