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31,456 Article Results

Functional analysis of cancer gene subtype from co-clustering and classification

10.11591/ijeecs.v18.i1.pp343-350
Logenthiran Machap , Afnizanfaizal Abdullah , Afnizanfaizal Abdullah
Cancer is a heterogeneity genetic disease with huge phenotypic alterations among dissimilar cancers types or even between same cancer types. Recent expansions of genome-wide profiling technologies offer a chance to explore molecular changes variations throughout advancement of cancer. Therefore, various statistical and machine learning algorithms have been designed and developed for the handling and interpretation of high-throughput microarray molecular data. Discovery of molecular subtypes studies have permitted the cancer to be allocated into similar groups that are deliberated to port similar molecular and clinical characteristics. Thus, the main objective of this research is to discover cancer gene subtypes and classify genes to obtain higher accuracy. In particular improved co-clustering algorithm used to discover cancer subtypes. And then supervised infinite feature selection gene selection method was combined with multi class SVM for classification of selected genes and further biological analysis. The analysis on breast cancer and glioblastoma multiforme evidences that top genes involved in cancer and the pathways present in both cancer top genes. The functional analysis is useful in medical and pharmaceutical field for cancer diagnosis and prognosis.
Volume: 18
Issue: 1
Page: 343-350
Publish at: 2020-04-01

Segmentation of the human body based on frequency of human electromagnetic radiation

10.11591/ijeecs.v18.i1.pp268-275
Siti Zura A. Jalil , Siti Armiza Mohd Aris , Nurul Aini Bani , Mohd Nabil Muhtazaruddin , Sahnius Usman
This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. For the purpose of recognition, k-Nearest Neighbor (KNN) algorithm is used to classify the segments of the human body. Then, the performances of classification are determined based on the accuracy and Receiving Operating Characteristic (ROC) analysis. It is found that the proposed technique accurately classifies the body segments with 100% accuracy, thus suggest that the proposed technique is significant to classify human body segments.
Volume: 18
Issue: 1
Page: 268-275
Publish at: 2020-04-01

Swarm intelligent hyperdization biometric

10.11591/ijeecs.v18.i1.pp385-395
Israa Mohammed Alhamdani , Yahya Ismail Ibrahim
At the last decade the importance of biometrics has been clearly configured due to its important in the daily life that starts from civil applications with security and recently terrorizing. A Footprint recognition is one of the effective personal identifications based on biometric measures. The aim of this research is to design a proper and reliable left human footprint biometrics system addressed (LFBS). In addition, to create a human footprint database which it is very helpful for numerous use such as during authentication. The existing footprint databases were very rare and limited. This paper presents a sturdy combined technique which merges between Image Processing with Artificial Intelligent technique via Bird Swarm Optimization Algorithm (BSA) to recognize the human footprint. The use of (BSA) enhance the performance and the quality of the results in the biometric system through feature selection. The selected features was treated as the optimal feature set in standings of feature set size. The visual database was constructed by capturing life RGB footprint images from nine person with ten images per person. The visual dataset images was pre-processed by successive operations. Chain Code is used with footprint binary image, then statistical features which represent the footprint features. These features were extracted from each image and stored in Excel file to be entered into the Bird Swarm Algorithm. The experimental results show that the proposed algorithm estimates, excellent results with a smaller feature set in comparison with other algorithms. Experimental outcomes show that our algorithm achieves well-organized and accurate result about 100% accuracy in relation with other papers on the same field.
Volume: 18
Issue: 1
Page: 385-395
Publish at: 2020-04-01

Simulation modeling for heart attack patient by mapping cholesterol level

10.11591/ijeecs.v18.i1.pp16-23
Jossy P George , Suhas M Gaikwad
Cholesterol is a complex structural material made up of four-fused hydrocarbon rings. There is a hydrocarbon tail linked at one end of the structure, while the hydroxyl group linked to each other on the other end. To one end of the structure, a hydrocarbon tail linked and to the other end, a hydroxyl group linked to each other. High cholesterol level is one among the major risk factors of a heart attack. It is feasible to compute and control the cholesterol level of a cardiovascular patient by making use of intended Mathematical modeling in System Dynamics (S.D.). Moreover, by simulating proposed set of equations for a heart attack patient, recovery accomplished at a faster pace. Because of S.D., a substantial amount of reduction in the patient's Cardiovascular Disease achieved by control over the sterol level of the heart patient. This simulation modeling is an attempt made in translational research domain and is useful in the healthcare industry health care industry. It will minimize the risk of heart stroke and maintain a healthy life.
Volume: 18
Issue: 1
Page: 16-23
Publish at: 2020-04-01

Enhanced wormhole optimizer algorithm for solving optimal reactive power problem

10.11591/ijict.v9i1.pp1-8
Kanagasabai Lenin
In this paper Enhanced Wormhole Optimizer (EWO) algorithm is used to solve optimal reactive power problem. Proposed algorithm based on the Wormholes which exploits the exploration space. Between different universes objects are exchanged through white or black hole tunnels. Regardless of the inflation rate, through wormholes objects in all universes which possess high probability will shift to the most excellent universe. In the projected Enhanced Wormhole Optimizer (EWO) algorithm in order to avoid the solution to be get trapped into the local optimal solution Levy flight has been applied.  Projected Enhanced Wormhole Optimizer (EWO) algorithm has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show that the EWO algorithm reduced the real power loss efficiently.
Volume: 9
Issue: 1
Page: 1-8
Publish at: 2020-04-01

Economic viability and profitability assessments of WECS

10.11591/ijece.v10i2.pp1220-1228
Mohammed Kdair Abd
Technical and technological advances in alternative energy sources have led many countries to add green energy to their power plants to reduce carbon emissions and air pollution. At present, many electricity companies are looking to use alternative sources of energy because of high electrical energy prices. Wind energy is more useful than many renewable energies such as solar, heat, biomass, etc. The Wind Energy Conversion System (WECS) is a system that converts the kinetic energy of the wind into electrical energy to feed the known loads. WECS can be found in a variety of technology. Climate change and load demand are essential determinants of WECS optimization modelling. In this paper, proposed a strategy focused primarily on economic analysis WECS. The strategy based on a weather change to find the optimal designing and modelling for four different types of WECS using HOMER software. Finally, several criteria were used to determine which type of WECS was the most profitable investment and less payback period.
Volume: 10
Issue: 2
Page: 1220-1228
Publish at: 2020-04-01

Smart monitor of pacemaker patient by using IoT cloud in real time

10.11591/ijeecs.v18.i1.pp158-166
Jameel Kadhim Abed , Hassnaa Mustafa Abd-aljabar
People severing from heart diseases are increasing day after day, now it's more important to focus on this destructive problem and provide a good health care and remote patient monitoring .An effective monitoring system has been discovered to monitor patients who are implanting a pacemaker and need long-term follow-up. So extensive research has been done to monitor ECG and analyze it by using the free open source website and linking it with portable ECG system that are responsible for the presentation and storage of data to the doctor and patient. In this research we will develop a new method of ECG monitoring for patients who are implanting pacemakers and help them to transfer their ECG signal for long distances depending on the Internet things (IOT). Once the device is worn, it will start collecting ECG information and sent it directly via Wi-Fi to the IOT cloud. Reviewing ECG data through the web has led to the alleviation of the problem of the inability of the doctor to monitor the patient from the home as well as in the event that the doctor is being in another country ,the device also helps to discover the magnetic field that confuses the pacemaker by giving the patient a warning. The results of the test are able to detect that the system would be reliable for displaying real-time ECG data, which could help facilitate patient follow-up after implantation of the pacemaker at home with ease of use and cheaper price.
Volume: 18
Issue: 1
Page: 158-166
Publish at: 2020-04-01

The effect of environmental changes on the efficiency of the PV system

10.11591/ijeecs.v18.i1.pp558-564
Adeel Saleem , Atif Iqbal , Kashif Mehmood , Manoj Kumar Panjwani , Fareed Hussain Mangi , Raja Masood Larik
Advancements in the field of energy are among priorities of modern-day research. Most of the modern studies concern particularly on renewable energy resources especially that of Solar Energy to meet the energy demand of the future energy markets. Solar energy is one of the richest sources of nature, but involvement of environmental effects readily affects the overall performance of the Photovoltaic Panel. This paper highlights the importance of the solar energy, techniques and comparison of mono-crystalline and poly-crystalline and their particular energy profile. A Matlab/Simulink model is constructed to analyze the behavior of solar cell on effect of irradiance and temperature. Experimental results show the adverse effect of humidity, shading, direction and climate changes on the performance of the solar cell.
Volume: 18
Issue: 1
Page: 558-564
Publish at: 2020-04-01

Blockchain technology opportunities in Kurdistan, applications and challenges

10.11591/ijeecs.v18.i1.pp405-411
Hilmi Abdullah , Ali Hikmat Ibrahim
Recently, the blockchain technology has received a vast popularity because it brought revolutionary changes to some industries due to the fact that this technology enables the implementation of secure, decentralized and trustworthy applications. Moreover, this technology has many advantages over centralized systems such as immutability and transparency. The most common application of the blockchain technology is the Bitcoin cryptocurrency, which provides a method of transferring money in a secure way without the involvement of a central authority. In addition to the Bitcoin, there are other applications based on the blockchain technology in a variety of sectors and industries such as governance, healthcare and supply chain. In this paper, we discuss blockchain applications that can be implemented in Kurdistan and we highlight their opportunities and challenges.
Volume: 18
Issue: 1
Page: 405-411
Publish at: 2020-04-01

Hybrid TSR-PSR in nonlinear EH half duplex network: system performance analysis

10.11591/ijece.v10i2.pp1255-1262
Phu Tran Tin , Duy-Hung Ha , Tran Thanh Trang
Nowadays, harvesting energy (EH) from green environmental sources and converting this energy into the electrical energy used in purpose to supply the communication network devices is considered the main research direction. In this research, we investigate the hybrid TSR-PSR Nonlinear Energy Harvesting (EH) Half-duplex (HD) Relaying network in terms of the Success Probability (SP). For this purpose, we derive the integral-form of the system SP. In addition, we use the Monte Carlo simulation for verifying the correctness of the analytical expression. We can see in the research results that all the simulation and analytical values are the same in connection with all primary system parameters.
Volume: 10
Issue: 2
Page: 1255-1262
Publish at: 2020-04-01

Recent advances in phase-locked loop based synchronization methods for inverter-based renewable energy sources

10.11591/ijeecs.v18.i1.pp1-8
Haval Sardar Kamil , Dalila Mat Said , Mohd Wazir Mustafa , Mohammad Reza Miveh , Nasarudin Ahmad
Recently, researchers have shown an increased interest in renewable energy sources (RESs) to improve power quality, reliability and stability of the power system. However, RESs require proper control strategies to ride through grid disturbances and stay connected to the main grid for the stability contribution. Moreover, the control of them relies mainly on the synchronization algorithms to precisely detect the voltage phase angle, magnitude and frequency. Throughout the years, various synchronization schemes have been introduced and developed. In the renewable-based generation sources, the phase-locked loop (PLL) is a well-known technique for operating grid-tied power converters for the estimation of the synchronization information and grid voltage monitoring. This paper aims to provide a comprehensive review of the recently developed PLL algorithms for grid synchronization applications. At first, various estimation techniques are discussed. Then, a comparison between various PLLs and possible future works are recommended.
Volume: 18
Issue: 1
Page: 1-8
Publish at: 2020-04-01

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

10.11591/ijece.v10i2.pp1229-1238
Preedipat Sattayasoonthorn , Jackrit Suthakorn , Sorayouth Chamnanvej M.D
Raised intracranial pressure (ICP) in traumatic brain injury (TBI) patients can lead to death. ICP measurement is required to monitor the condition of a patient and to inform TBI treatment. This work presents a new wireless liquid crystal polymer (LCP) based ICP sensor. The sensor is designed with the purpose of measuring ICP and wirelessly transmitting the signal to an external monitoring unit. The sensor is minimally invasive and biocompatible due to the mechanical design and the use of LCP. A prototype sensor and associated wireless module are fabricated and tested to demonstrate the functionality and performance of the wireless LCP-based ICP sensor. Experimental results show that the wireless LCP-based ICP sensor can operate in the pressure range of 0 - 60.12 mmHg. Based on repeated measurements, the sensitivity of the sensor is found to be 25.62 µVmmHg-1, with a standard deviation of ± 1.16 µVmmHg-1. This work represents a significant step towards achieving a wireless, implantable, minimally invasive ICP monitoring strategy for TBI patients.
Volume: 10
Issue: 2
Page: 1229-1238
Publish at: 2020-04-01

A multi-levels RNG permutation

10.11591/ijeecs.v18.i1.pp412-419
Ammar Khaleel Abdulsadah , Abdullah Aziz Lafta , Mohammad Dosh
The paper proposes a new general method for producing a multilevel permutation functioning as an m-tree traversal. It is composed of two basic steps: a random number generator of period length equal m to determine which child to traverse, and recursive permutation in which permutated the subtree if found. The test results proved that the suggested method of permutation is successful depending on the correlation measure.
Volume: 18
Issue: 1
Page: 412-419
Publish at: 2020-04-01

Training on professional foreign language for students of engineering specialties: implementation of electronic technology

10.11591/ijeecs.v18.i1.pp301-309
Sergei V.Smirnov , Aygul Z. Ibatova
The purpose of our work is to check the effectiveness of the principle of systematic in the process of teaching professional foreign language to the engineering specialties. The laboratory work contains information lexical programs for the introduction of active lexical lessons, vocabulary and grammar exercises, and questions to the texts of lessons, designated for self-control and mutual control. The authors presented the results of the implementation of the system principle in the pedagogical process, namely the possibility of providing systematic construction of methodical literature and construction of intra subject links. The laboratory work, thanks to which there is an actualization and improvement of basic knowledge and skills, as well as the motivation of educational activity - is the form of realization of this principle. The students have an opportunity to demonstrate the independence in performing communicative actions in the professional sphere, provided by the program, to automate their skills, to conduct the self-study and self-monitoring of knowledge and skills, as well as to make their correction.
Volume: 18
Issue: 1
Page: 301-309
Publish at: 2020-04-01

Solving wireless sensor network coverage problem using LAEDA

10.11591/ijeecs.v18.i1.pp452-458
Shirin Khezri , Mahdi Nazaari A
Coverage improvement is one of the main problems in wireless sensor networks. Given a finite number of sensors, improvement of the sensor deployment will provide sufficient sensor coverage and save cost of sensors for locating in grid points. For achieving good coverage, the sensors should be placed in adequate places. In this article, estimation of distribution algorithm based on learning automata is presented for solving the sensor placement (LAEDA-SP) in distributed sensor networks by considering two factors: 1) the complete coverage and 2) the minimum costs. The proposed algorithm is a model based on search optimization method that uses a set of learning automata as a probabilistic model of high-quality solutions seen in the search process. It is applied in a various area with different size. The results not only confirmed the successes of using the new method in sensor replacement but also they showed that the proposed method performs more efficiently compared to the state-of-the-art methods such as simulated annealing (SA) and population-based incremental learning algorithms (PBIL).
Volume: 18
Issue: 1
Page: 452-458
Publish at: 2020-04-01
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