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31,458 Article Results

Analysis and evaluation of symmetrical key ciphers for internet of things smart home

10.11591/ijeecs.v22.i2.pp1191-1198
Lujain S. Abdulla , Musaria K. Mahmood , Abbas F. Salih , Sulaiman M. Karim
A large number of sensors and intelligent devices are interconnected via the internet to collect data as part of the internet of things (IoT) applications. Data security is one of the important challenges for these applications due to vulnerability of the internet. IoT devices limiting factors, such as delay-sensitivity, restricted memory, and low computing capability, make choosing the appropriate data encryption standard extremely important. The current research focuses on evaluating four data security, block cipher standards for the IoT smart home application. Considering the encryption/decryption speed, DES, TDES, AES, and SAFER+ standards are evaluated by implementing the algorithms with MATLAB to determine the best security solution. The simulation of the four standards shows the superiority of SAFER+ standard in term of encryption speed compared to others added to its capabilities on security, and software implementation opportunity. The use of classical symmetric key standards for real time data security in the IoT application can be validated through the selection of SAFER+.
Volume: 22
Issue: 2
Page: 1191-1198
Publish at: 2021-05-01

Encapsulation of semantic description with syntactic components for the Arabic language

10.11591/ijeecs.v22.i2.pp961-967
Adel Al-Janabi , Ehsan Ali Kareem , Radhwan Hussein Abdulzhraa Al Sagheer
The work presents new theoretical equipment for the representation of natural languages (NL) in computers. Linguistics: morphology, semantics, and syntax are also presented as components of subtle computer science that form. A structure and an integrated data system. The presented useful theory of language is a new method to learn the language by separating the fields of semantics and syntax.
Volume: 22
Issue: 2
Page: 961-967
Publish at: 2021-05-01

Analyzing impact of number of features on efficiency of hybrid model of lexicon and stack based ensemble classifier for twitter sentiment analysis using WEKA tool

10.11591/ijeecs.v22.i2.pp1041-1051
Sangeeta Rani , Nasib Singh Gill , Preeti Gulia
Twitter is used by millions of people across the world, so the data collected from Twitter can be highly valuable for research and helpful in decision support. Here in this paper ‘Twitter US Airline data’ from Kaggle data repository is used for sentiment classification of customers’ reviews. The current research aims to implement various machine learning classifiers, Stack-based ensemble classifiers and hybrid of lexicon classifier with other classifiers. 11 different classification models are implemented for different sized feature sets. Also, all the 11 models are re-implemented by adding sentiment score of lexicon based classifier as one of the features in the feature set. Results are analyzed by varying number of input feature variables used in the classification. Four different size feature sets having 301,501, 701, and 1301 number of features are used to analyze the variations in the final findings. Chi-Square and Information gain techniques are used for feature selection. The results show that an increase in the number of features increases the accuracy up to 701 features. After that, accuracy is stable or decreases with increase in feature set size. Also, the cost of adding sentiment score of lexicon classifier to the input feature set is nominal, but the results are improved consistently. WEKA and R Studio tools are used for analysis and implementation. Accuracy and Kappa are used for representing and comparing the efficiency of models.
Volume: 22
Issue: 2
Page: 1041-1051
Publish at: 2021-05-01

Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network

10.11591/ijeecs.v22.i2.pp1013-1023
Prativa Rai , Mrinal Kanti Ghose , Hiren Kumar Deva Sarma
Cognitive radio enabled wireless sensor network is capable of reducing the spectrum scarcity problem of the wireless networks. Looking at the scarcity of available bandwidth, and the high growth in the number of communication devices in recent times, cognitive radio technology has proven to be a promising technology for the days to come. The application of Game Theory in cognitive radio networks has been visible in recent research works. However, only limited literature is available in which possibilities of applying the game-theory based approaches for the challenging task of channel assignment in cognitive radio wireless sensor are available in the literature. It is understood that the crux of the solution to the problem of scheming games for allocation of the channel is centered on the selection of the utility function in order to increase the efficiency of the channel allocation algorithm. Accordingly, the study regarding the influence of several utility functions on the performance of the corresponding channel allocation algorithm is important.  Such a study enables designers to arrive at the optimal utility function to be used in game-theory based channel allocation algorithms, and the same is explored to the best extent, in this paper. The detailed procedure of allocating channels to all the contending nodes through game-based channel allocation has been discussed in this paper. Moreover, the performance of six different utility functions proposed which can be used for channel allocation using game theory has been evaluated for respective performances through MATLAB-based simulations.
Volume: 22
Issue: 2
Page: 1013-1023
Publish at: 2021-05-01

Gray level co-occurrence matrix feature extraction and histogram in breast cancer classification with ultrasonographic imagery

10.11591/ijeecs.v22.i2.pp795-800
Karina Djunaidi , Herman Bedi Agtriadi , Dwina Kuswardani , Yudhi S. Purwanto
One way to detect breast cancer is using the Ultrasonography (USG) procedure, but the ultrasound image is susceptible to the noise speckles so that the interpretation and diagnosis results are different. This paper discusses the classification of breast cancer ultrasound images that aims to improve the accuracy of the identification of the type and level of cancer malignancies based on the features of its texture. The feature extraction process uses a histogram which then the results are calculated using the Gray Level Co-Occurrence Matrix (GLCM). The results of the two extraction features are then classified using K-Nearest Neighbors (KNN) to obtain accurate figures from those images. The results of this study is that the accuracy in detecting cancer types is 80%.
Volume: 22
Issue: 2
Page: 795-800
Publish at: 2021-05-01

Monitoring of solenoid parameters based on neural networks and optical fiber squeezer for solenoid valves diagnosis

10.11591/ijece.v11i2.pp1697-1708
Abdallah Zahidi , Said Amrane , Nawfel Azami , Naoual Nasser
As crucial parts of various engineering systems, solenoid valves (SVs) operated by electromagnetic solenoid (EMS) are of great importance and their failure may lead to cause unexpected casualties. This failure, characterized by a degradation of the performances of the SVs, could be due to a fluctuations in the EMS parameters. These fluctuations are essentially attributed to the changes in the spring constant, coefficient of friction, inductance, and the resistance of the coil. Preventive maintenance by controlling and monitoring these parameters is necessary to avoid eventual failure of these actuators. The authors propose a new methodology for the functional diagnosis of electromagnetic solenoids (EMS) used in hydraulic systems. The proposed method monitors online the electrical and mechanical parameters varying over time by using artificial neural networks algorithm coupled with an optical fiber polarization squeezer based on EMS for polarization scrambling. First, the MATLAB/Simulink model is proposed to analyze the effect of the parameters on the dynamic EMS model. The result of this simulation is used for training the neural network, then a simulation is proposed using the neural net fitting toolbox to determine the solenoid parameters (Resistance of the coil R, stiffness K and coefficient of friction B of the spring) from the coefficients of the transfer function, established from the model step response. Future work will include not only diagnosing failure modes, but also predicting the remaining life based on the results of monitoring.
Volume: 11
Issue: 2
Page: 1697-1708
Publish at: 2021-04-01

New efficient GAF routing protocol using an optimized weighted sum model in WSN

10.11591/ijeecs.v22.i1.pp396-406
Hanane Aznaoui , Arif Ullah , Said Raghay , Layla Aziz , Mubashir Hayat Khan
A wireless sensor network (WSN) composed by a large number of sensor nodes that are insufficient in terms of processing power, storage and energy. The principal tasks of nodes is gathering and transmitting data collected to the base station (BS). Consequently the major essential criteria for designing a WSN are the network lifetime. In this paper an efficient GAF routing protocol for gathered data is introduced. It proposes an energy-efficient routing in WSN based on the basic version. In this system sensor nodes are distributed using Gaussian law and an active leader is elected for each virtual grid to reduce the energy dissipated using an optimized weighted sum model where maximum remaining energy and minimum distance criteria are considered. Moreover routing data is based on transmission range for enhancing the energy efficiency during data routing. The experimental results shows that the proposed EE-GAF produces better performance than the existing GAF basic and optimized-GAF routing protocol in terms of number of dead node  and energy consumption. It is obviously proves that the proposed EE-GAF can improve the network lifetime
Volume: 22
Issue: 1
Page: 396-406
Publish at: 2021-04-01

Information system supporting research on rubber in Thailand

10.11591/ijece.v11i2.pp1424-1430
Siriwan Kajornkasirat , Jirapond Muangprathub , Nathaphon Boonnam , Teerawad Sriklin
his research aimed to develop an information system supporting research on rubber (ISSR) in Thailand. This system was designed as a web application with responsive web design. The rubber database was developed with MySQL, used Apache Server as a Web Server and programed with PHP-script. High Chart, Google Chart API and Java Technology were used to represent an online information with graphical format. The system was tested with the actual data on rubber research in Southern Thailand. The system has been available online at URL http://www.s-cm.site/issr. There are three type of users: administrator, researcher (member) and generic user. The researcher performed data entry about research with log-in to the system using username and password provided by the automatic system via online registration form. The administrator can manage the research information. The researchers can manage their research information, use searching tool and leave comments on other member’s research. The generic users can access the system without username and password to view the research and general information on rubber. Moreover, the system generates a report on rubber research with online graphical format. In conclusion, this information system enhances investigation on rubber research in Thailand and its strategy planning for rubber plantation in the future.
Volume: 11
Issue: 2
Page: 1424-1430
Publish at: 2021-04-01

Image encryption based on elliptic curve cryptosystem

10.11591/ijece.v11i2.pp1293-1302
Zahraa Kadhim Obaid , Najlae Falah Hameed Al Saffar
Image encryption based on elliptic curve cryptosystem and reducing its complexity is still being actively researched. Generating matrix for encryption algorithm secret key together with Hilbert matrix will be involved in this study. For a first case we will need not to compute the inverse matrix for the decryption processing cause the matrix that be generated in encryption step was self invertible matrix. While for the second case, computing the inverse matrix will be required. Peak signal to noise ratio (PSNR), and unified average changing intensity (UACI) will be used to assess which case is more efficiency to encryption the grayscale image.
Volume: 11
Issue: 2
Page: 1293-1302
Publish at: 2021-04-01

Comparative analysis on different software piracy prevention techniques

10.11591/ijict.v10i1.pp1-8
Ahmad Mohammad Hassan , Ayuba John
Numerous type of software piracy known today, have several prevention techniques which has been established against them. Although, different software piracy techniques have been established, but the choice of which one should be the best to develop any software is the challenge for most software developers. Consequently, example of the types of piracy in software development can be categorise as follows: cracks and serials, softlifting and hard disk loading, internet piracy and software forging, mischaneling, reverse engineering, and tampering. We have several types of prevention techniques which aimed to resolved piracy in software development, although the methods have been wrecked. In this work a critical analysis has been carryout on different software piracy techniques and a simple model software was designed using the best technique to validate the results of the analysis.
Volume: 10
Issue: 1
Page: 1-8
Publish at: 2021-04-01

Energy audit: types, scope, methodology and report structure

10.11591/ijeecs.v22.i1.pp45-52
Pankaj Sharma , Surender Reddy Salkuti , Seong-Cheol Kim
The objective of this paper is to study various methods adopted during the energy audit. Many countries are focusing on energy, not only enhancing the tenable power generation sources but also on utilizing the power more proficiently for economic utilization. The energy audit is an important parameter for all the developing and developed countries and they focus on energy efficiency, energy quality, and energy intensity. In the industrial, residential, and commercial sectors the top operating expense is found to be are material, machine, manpower, and energy. Identification of the energy-consuming sector is the prior attention to look for the energy-saving potential and quality improvement. Implementation of an energy audit can enhance the efficiency, quality of power, reduce the tariff of bills, and reduces the wastage of energy. The need for energy audits, different types of energy audits, various types of software used, and the energy audit report structure were presented in this paper.
Volume: 22
Issue: 1
Page: 45-52
Publish at: 2021-04-01

Effect of controlling maximum-SNR-based relay selection strategy in cooperative wireless communication systems

10.11591/ijeecs.v22.i1.pp335-341
Essam Saleh Altubaishi
Relay selection strategy under maximum-signal-to-noise ratio (MAX-SNR) criterion was proven to maximize performance but at the expense of losing fairness among the cooperative relays. In this work, the effect of controlling the MAX-SNR criterion on the spectral efficiency of cooperative wireless communication system with adaptive modulation is investigated. Specifically, the probability density function (PDF) of the end-to-end SNR for the considered system is derived when the controlled selection criterion is considered. Base on that PDF, the average spectral efficiency is then derived and investigated. The results show how the spectral efficiency of the system deteriorates as controlling the selection of a relay. Furthermore, the results of Monte Carlo simulation validate the derived expression.
Volume: 22
Issue: 1
Page: 335-341
Publish at: 2021-04-01

Cache coherency controller for MESI protocol based on FPGA

10.11591/ijece.v11i2.pp1043-1052
Mays K. Faeq , Safaa S. Omran
In modern techniques of building processors, manufactures using more than one processor in the integrated circuit (chip) and each processor called a core. The new chips of processors called a multi-core processor. This new design makes the processors to work simultanously for more than one job or all the cores working in parallel for the same job. All cores are similar in their design, and each core has its own cache memory, while all cores shares the same main memory. So if one core requestes a block of data from main memory to its cache, there should be a protocol to declare the situation of this block in the main memory and other cores.This is called the cache coherency or cache consistency of multi-core. In this paper a special circuit is designed using very high speed integrated circuit hardware description language (VHDL) coding and implemented using ISE Xilinx software. The protocol used in this design is the modified, exclusive, shared and invalid (MESI) protocol. Test results were taken by using test bench, and showed all the states of the protocol are working correctly.
Volume: 11
Issue: 2
Page: 1043-1052
Publish at: 2021-04-01

Design and monitoring body temperature and heart rate in humans based on WSN using star topology

10.11591/ijeecs.v22.i1.pp326-334
Setiyo Budiyanto , Freddy Artadima Silaban , Lukman Medriavin Silalahi , Selamet Kurniawan , Fajar Rahayu I. M. , Ucuk Darusalam , Septi Andryana
Electronic health (E-health) uses information and communication technology including electronics, telecommunications, computers, and informatics to process various types of medical information, to carry out clinical services (diagnosis or therapy). Health is the most important asset in human life, therefore maintaining health is a top priority and serious attention needed. Heart rate and body temperature are vital signs that the hospital routinely checks for clinical signs and are useful for strengthening the diagnosis of a disease. In this research monitoring heart rate and body temperature with the wireless sensor network (WSN) method that uses NodeMCU 1.0 as a controller module and wireless as communication between nodes, the wireless network used in this research Wi-Fi network. As a data taker, a DS18b20 temperature sensor and a heart rate sensor (pulse sensor) are needed, which will be displayed by the ThingSpeak web and smartphones. From the test results, the success rate of the system in detecting heart rates is 97.17%. Whereas in detecting body temperature the success rate of the system is 99.28%. For data transmission, the system can send data smoothly at a maximum distance of 15 meters with a barrier.
Volume: 22
Issue: 1
Page: 326-334
Publish at: 2021-04-01

Speech emotion recognition based on SVM and KNN classifications fusion

10.11591/ijece.v11i2.pp1259-1264
Mohammed Jawad Al Dujaili , Abbas Ebrahimi-Moghadam , Ahmed Fatlawi
Recognizing the sense of speech is one of the most active research topics in speech processing and in human-computer interaction programs. Despite a wide range of studies in this scope, there is still a long gap among the natural feelings of humans and the perception of the computer. In general, a sensory recognition system from speech can be divided into three main sections: attribute extraction, feature selection, and classification. In this paper, features of fundamental frequency (FEZ) (F0), energy (E), zero-crossing rate (ZCR), fourier parameter (FP), and various combinations of them are extracted from the data vector, Then, the principal component analysis (PCA) algorithm is used to reduce the number of features. To evaluate the system performance. The fusion of each emotional state will be performed later using support vector machine (SVM), K-nearest neighbor (KNN), In terms of comparison, similar experiments have been performed on the emotional speech of the German language, English language, and significant results were obtained by these comparisons.
Volume: 11
Issue: 2
Page: 1259-1264
Publish at: 2021-04-01
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