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29,922 Article Results

Face Recognition with Frame size reduction and DCT compression using PCA algorithm

10.11591/ijeecs.v22.i1.pp168-178
Padmaja vijaykumar , Jeevan K Mani
Face recognition has become a very important study of research because it has a variety of applications in research field such as human computer interaction, pattern recognition (PR). A successful face recognition procedure, be it mathematical or numerical, depends on the particular choice of the features used by the classifier. Feature selection in pattern recognition consists of the derivation of salient features present in the raw input data in order to reduce the amount of data used for classification. For the successful face recognition, the database images must have sufficient information so that when presented with the probe image, the recognition must be possible. Majority of times, there is always excess information present in the database images, leads higher storage, hence optimum size of the images needs to be stored in the database for good performance, are compressed with reduction in frame size and then compressed with that of the DCT. 
Volume: 22
Issue: 1
Page: 168-178
Publish at: 2021-04-01

Cloud radio access network fronthaul solution using optimized dynamic bandwidth allocation algorithm

10.11591/ijece.v11i2.pp1395-1404
Ebude Carine Awasume , Stephen Musyoki , Vitalice Kalecha Oduol
In order to address the challenges that have come with the exploding demand for higher speed, traffic growth and mobile wireless devices, Mobile network operators have decided to move to the notion of small cells based on cloud radio access network. The merits of cloud based RAN includes the ease of infrastructure deployment and network management as well as the fact that its performance are optimized and it is cost effective the merits of cloud based RAN includes the ease of infrastructure deployment and network management as well as the fact that its performance are optimized and it is cost effective. Notwithstanding, cloud radio access network comes with so many strict requirements to be fulfilled for its fronthaul network. In this paper, we have presented these requirements for a 5G fronthaul network. Particular interest on the time division multiplex passive optical network’s challenge of latency was treated by proposing an optimized version of the round robin dynamic bandwidth allocation algorithm. Results obtained show an improvement in the latency of the original algorithm which meets the fronthaul requirement. Other test parameters like jitter and BER were also improved by our proposed optimized algorithm.
Volume: 11
Issue: 2
Page: 1395-1404
Publish at: 2021-04-01

Aluminum based nanostructures for energy applications

10.12928/telkomnika.v19i2.18146
Mohammad Tariq; University of Mosul Yaseen , Abdalem A.; University of Mosul Rasheed
The plasmonic material properties of aluminum allow active plasmon resonances extending from the blue color in the visible range to the ultraviolet (UV) region of the spectrum. Whereas Al is usually avoided for applications of plasmonics due to its losses in the infrared spectrum region. In this work, the study of the scatter and absorption of disk nanoantennas (DNAs) using various types of materials Au, Ag, and Al is accomplished by using the CST microwave studio suite simulation. The results showed that Al can offer good plasmonic properties when DNA radius is 25 nm to 125 nm at 20 nm height and working wavelengths longer than 800 nm in the near-infrared (NIR) region. Al produces negative plasmonic features around 800 nm wavelength due to the interband transition in the imaginary part of epsilon. For Au and Ag, the plasmonic characteristics rapidly decayed when the DNA radius was higher than 60 nm, but in contrast, Al offers good plasmonic features at these large dimensions of DNAs. This extended response of Al in UV, visible, and NIR, incorporated with its low cost, natural abundance, low native oxide, and amenability to industrial processes, could make Al an extremely promising plasmonic metal candidate for energy applications.
Volume: 19
Issue: 2
Page: 683-689
Publish at: 2021-04-01

Analysis of the influence of the ambient temperature on the energy efficiency of solar modules by application of empirical correlations for natural convection

10.12928/telkomnika.v19i2.16102
Shahir Fleyeh; Tikrit University Nawaf , Mohammad Omar; Tikrit University Salih , Younis Nather; Tikrit University Younis
In this paper, the effect of the ambient temperature on photovoltaic (PV) modules for different angles of inclinations and different intensities of the solar radiation on the surface of PV module is considered using empirical correlations for natural convection. The analysis used an analytical model based on the energy balance equilibrium between PV module and the environment. It has been shown that in real conditions of exploitation, the value of the solar conversion coefficient of the solar energy to be determined by the manufacturer, valid for the standard test conditions (STC) for PV module (25 °C -1000 W/m2). The results obtained indicates that in the case a smaller number of PV modules corresponding to the required number for average household. The proposed procedure can be applied in the techno-economic analysis for PV system with uniaxial monitoring of the sun position as well as static PV systems.
Volume: 19
Issue: 2
Page: 540-546
Publish at: 2021-04-01

Power enhancement based link quality for wireless mesh network

10.11591/ijece.v11i2.pp1388-1394
Mohammad Khalaf Rahim Al-juaifari , Hussain Mumtaiz Alshamy , Noor Hassan Abed Khammas
Energy consumption of wireless network communication is still a big issue and a lot of research papers have proposed many solutions to increase node life time. The WMN architecture is made up of a fixed and mobile component, whereas the wireless mesh networks (WMNs) are multi-hop wireless networks with instant deployment, self-healing, self-organization and self-configuration features. The reduction in the distance by a factor of two can result in at least four times more powerful signals at the receiver. This paper presents suggestions that the links are more reliable without the increase in power of the transmitter in individual nodes. As a result, the present simulations networks are nine mobile nodes for considering coverage issues of the service area. The analytic results show that the link power node for direct communication between two nodes with long distance consuming more power than it is cleared. The improvement in the network performance for maintaining is available and this solution can be used to implement mobility in such case with low power region for the wireless mesh networks.
Volume: 11
Issue: 2
Page: 1388-1394
Publish at: 2021-04-01

Real time ear recognition using deep learning

10.12928/telkomnika.v19i2.18322
Ahmed M.; University of Mosul Alkababji , Omar H.; University of Mosul Mohammed
Automatic identity recognition of ear images represents an active area of interest within the biometric community. The human ear is a perfect source of data for passive person identification. Ear images can be captured from a distance and in a covert manner; this makes ear recognition technology an attractive choice for security applications and surveillance in addition to related application domains. Differing from other biometric modalities, the human ear is neither affected by expressions like faces are nor do need closer touching like fingerprints do. In this paper, a deep learning object detector called faster region based convolutional neural networks (Faster R-CNN) is used for ear detection. A convolutional neural network (CNN) is used as feature extraction. principal component analysis (PCA) and genetic algorithm are used for feature reduction and selection respectively and a fully connected artificial neural network as a matcher. The testing proved the accuracy of 97.8% percentage of success with acceptable speed and it confirmed the accuracy and robustness of the proposed system.
Volume: 19
Issue: 2
Page: 523-530
Publish at: 2021-04-01

Developing collaboration tool for virtual team using UML models

10.11591/ijeecs.v22.i1.pp38-44
Yasmin Makki Mohialden , Huda Abdulaali abdulbaqi , Narjis Mezaal Shati
Computer aided software engineering (CASE) uses the unified modelling language UML to produce executable code to visualize software architectural blueprint systems. UML is a standard software modeling language for specifying, constructing, documenting and visualizing the artifacts of produced software-intensive systems. However, UML lacks virtual collaboration regardless of their geographical location. The present work developed a prototype of web-based CASE tool that enables UML modes to manage software projects as a virtual collaboration tool. The present methodology starts with the specification of a set of UML triplets; then, the tool generates the visual models automatically with high quality SVG graphs. The system eliminates the manual diagram requirements based on the UML possibility and supported by three diagrams that involves class and use cases. The independent scripting language was PHP7 and MYSQL 8.0 which was used to save the system data.
Volume: 22
Issue: 1
Page: 38-44
Publish at: 2021-04-01

Coyote multi-objective optimization algorithm for optimal location and sizing of renewable distributed generators

10.11591/ijece.v11i2.pp975-983
E. M. Abdallah , M. I. El Sayed , M. M. Elgazzar , Amal A. Hassan
Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called ‘coyote optimization algorithm (COA)’ to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.
Volume: 11
Issue: 2
Page: 975-983
Publish at: 2021-04-01

A Review of immigration obstacles to PON-FTTH and its evolution around the world

10.12928/telkomnika.v19i2.16444
Mustafa H.; Mustansiriyah university Ali , Hazim M.; Mustansiriyah university ALkargole , Tariq A.; Mustansiriyah university Hassan
The require a bandwidth of every person will be increased from 16 Mbit/s to 50 up to 100M bit/s in the next 5 years in most of the growing counties. To solve this problem, FTTH may be the appropriate solution in a wide range. We experimentally investigate the deploy of PON-FTTH based on different kinds of passive optical network technology (E-PON, G-PON and VCSEL) and study the Obstacles of PON-FTTH Immigration after comparing it with older service (XDSL). Then analysis the reason on why these technologies chose by some country not others and why the technological need in Europe different with need in Africa and America. We discussed the solutions in telecommunications networks and or the economic aspect of projects all over the world, we found that GPON is more appropriable for accomplishment PON-FTTH than other networks. Thus GPON has been chosen for Europe, America and middle east. Choosing GPON techniques is decided by many factors include the infrastructure that was made before, the people demand for service and how much service they need because the need in Europe different with need in Africa and American and so on. Finally, we will suggest the appropriate solution in the energy savings, cost effective, higher security, and side of service transparency over other access networks for the future demand.
Volume: 19
Issue: 2
Page: 645-663
Publish at: 2021-04-01

Illumination-invariant vegetation detection for a vision sensor-based agricultural applications

10.11591/ijece.v11i2.pp1284-1292
Keun Ha Choi , SooHyun Kim
In this paper, we propose a novel method, illumination-invariant vegetation detection (IVD), to improve many aspects of agriculture for vision-based autonomous machines or robots. The proposed method derives new color feature functions from simultaneously modeling the spectral properties of the color camera and scene illumination. An experiment in which an image sample dataset was acquired under nature illumination, including various intensities, weather conditions, shadows and reflections, was performed. The results show that the proposed method (IVD) yields the highest performance with the lowest error and standard deviation and is superior to six typical methods. Our method has multiple strengths, including computational simplicity and uniformly high-accuracy image segmentation.
Volume: 11
Issue: 2
Page: 1284-1292
Publish at: 2021-04-01

Interconnection viability of high demand isolated area through a HVDC-VSC link

10.11591/ijece.v11i2.pp1002-1010
Juan A. Varela , Mario A. Rios
Electrically isolated areas are separated by a great distance and, normally, have a considerably low demand; in consequence, these are non-interconnected from the main power grid or electrical national transmission systems. Great distance and low demand are the reasons why an interconnection project in high voltage AC is not feasible in most of these cases. Nevertheless, there are some isolated areas with high power demand and even though they are separated from the main grid by large distances and hard terrains; however, it is still reasonable to think about an interconnection project. This paper had developed a methodology that allows the evaluation of viability, technically and economically, of a HDVC-VSC interconnection project for great distance and high demand considering overhead and/or underground DC line. The methodology was applied to a case of study in Peru, based on the projected interconnection between Moyobamba and the isolated area of Iquitos; showing that HVDC is a feasible alternative.
Volume: 11
Issue: 2
Page: 1002-1010
Publish at: 2021-04-01

DC-DC converter with 50 kHz-500 kHz range of switching frequency for passive component volume reduction

10.11591/ijece.v11i2.pp1114-1122
Mohd Amirul Naim Kasiran , Asmarashid Ponniran , Nurul Nabilah Mad Siam , Mohd Hafizie Yatim , Nor Azmira Che Ibrahim , Asmawi Md Yunos
This paper presents the relationship of switching frequency towards passive components volume of DC-DC boost converter. Principally, the inductor current ripple and capacitor voltage ripple must be considered in order to design the inductor and capacitor, respectively. By increasing the switching frequency, smaller size and volume of passive component can be designed. As the consequences, the switching loss increases during switching transition at turn-ON and turn-OFF conditions. This paper used soft-switching technique to reduce the switching loss at turn-ON condition. The soft-switching technique is realized by adding resonant circuit in DC-DC boost converter. The effectiveness of resonant circuit will be analysed, thus, the efficiency of the converter can be improved. The range of switching frequency considered in the experimental are 50 kHz to 500 kHz. A 100 W prototype has been developed and tested in order to verify the principle. The switching loss experimentally confirm reduced by implementing soft-switching technique with efficiency converter improved from 96.36% to 97.12% when 500 kHz of switching frequency is considered. The passive components volume reduction is achieved when high switching frequency is used where the total volume of passive component when 50 kHz and 500 kHz are 0.083 dm3 and 0.010 dm3, respectively.
Volume: 11
Issue: 2
Page: 1114-1122
Publish at: 2021-04-01

Efficient TCAM design based on dual port SRAM on FPGA

10.11591/ijeecs.v22.i1.pp104-112
Triet Nguyen , Kiet Ngo , Nguyen Trinh , Bao Bui , Linh Tran , Hoang Trang
Ternary content addressable memory (TCAM) is a memory that allows high speed searching for data. Not only it is acknowledged as associative memory/storage but also TCAM can compare input searching content (key) against a collection of accumulated data and return the matching address which compatible with this input search data. SRAM-based TCAM utilizes and allocates blocks RAM to perform application of TCAM on FPGA hardware. This paper presents a design of 480×104 bit SRAM-based TCAM on altera cyclone IV FPGA. Our design achieved lookup rate over 150 millions input search data and update speed at 75 million rules per second. The architecture is configurable, allowing various performance trade-offs to be exploited for different ruleset characteristics.
Volume: 22
Issue: 1
Page: 104-112
Publish at: 2021-04-01

Machine learning model for clinical named entity recognition

10.11591/ijece.v11i2.pp1689-1696
Ravikumar J. , Ramakanth Kumar P.
To extract important concepts (named entities) from clinical notes, most widely used NLP task is named entity recognition (NER). It is found from the literature that several researchers have extensively used machine learning models for clinical NER.The most fundamental tasks among the medical data mining tasks are medical named entity recognition and normalization. Medical named entity recognition is different from general NER in various ways. Huge number of alternate spellings and synonyms create explosion of word vocabulary sizes. This reduces the medicine dictionary efficiency. Entities often consist of long sequences of tokens, making harder to detect boundaries exactly. The notes written by clinicians written notes are less structured and are in minimal grammatical form with cryptic short hand. Because of this, it poses challenges in named entity recognition. Generally, NER systems are either rule based or pattern based. The rules and patterns are not generalizable because of the diverse writing style of clinicians. The systems that use machine learning based approach to resolve these issues focus on choosing effective features for classifier building. In this work, machine learning based approach has been used to extract the clinical data in a required manner
Volume: 11
Issue: 2
Page: 1689-1696
Publish at: 2021-04-01

Adaptive security approach for wireless sensor network using RSA algorithm

10.11591/ijeecs.v22.i1.pp361-368
Maha Salah Asaad , Muayad Sadik Croock
A type of distributed and self-regulating network is the wireless sensor network (WSN). The sensor nodes have limited computing capabilities, memory, battery power are needed to ensure a strong security design. In this paper, an adaptive cryptographic scheme for WSN that is operating on routing ad hoc on-demand vector routing (AODV) protocol. The adaptive term refers to the adopted mechanism between heavy and light asymmetric cryptography techniques of RSA. The heavy technique adopts the complete version of RSA algorithm, while the light one considers a reduced complexity version. This is to control the security operation over the included nodes even with low power ratio. In various case studies, the proposed scheme is checked and the result obtained shows the high efficiency of results in terms of protection guarantee.
Volume: 22
Issue: 1
Page: 361-368
Publish at: 2021-04-01
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