Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,922 Article Results

Cloud management and monitoring - a systematic mapping study

10.11591/ijeecs.v21.i3.pp1648-1662
Isaac Odun-Ayo , Toro-Abasi Williams , Jamaiah Yahaya
A key component of ensuring that services are available on the cloud at the right time in the right manner is adequate cloud management. This makes it possible to provide services that meets user demands. The purpose of this research is to carry out a systematic study of management and monitoring on the cloud. Three facets were applied in conducting the categorization. These are the contribution, research, and topic facets. The purpose was to determine the level of work so far carried out in the field of cloud management. This enabled the creation of a pictorial representation of the research coverage. The result of the study showed that there are no opinion research on cloud management. Generally, articles on experience research, philosophical research and metric are the lowest at 6.62%, 4.41% and 1.90% respectively, while articles on models, solution research and evaluation research are the highest with 52.38%, 46.32% and 31.62% respectively. The outcome of this study will stimulate further research in the area cloud management and systematic studies.
Volume: 21
Issue: 3
Page: 1648-1662
Publish at: 2021-03-01

Analytical design of the fractional order controller and robustness verification

10.11591/ijra.v10i1.pp10-23
Sateesh K. Vavilala , Vinopraba Thirumavalavan
This paper proposes a fractional order controller (FOC) for the level control problem of the coupled tank system, using the desired time domain specifications. The coupled tank system is used in the chemical industries for the storage and mixing of liquids. The FOC is designed analytically using the direct synthesis method. In the direct synthesis method, the Bode's ideal loop transfer function is chosen as the desired transfer function. Bode's loop transfer function has the advantages like robustness to system gain variations, constant phase and very high gain margin. Performance of the proposed controller is compared with the state of the art literature. Simulation results showed that the proposed controller has the least peak overshoot. The robust performance of the proposed controller is also the best. Robust stability of the system with the proposed controller is verified, and the system is found to be robustly stable.
Volume: 10
Issue: 1
Page: 10-23
Publish at: 2021-03-01

An energy efficient optimized cluster establishment methodology for sensor nodes in WSN

10.11591/ijeecs.v21.i3.pp1548-1556
Shivshanker Biradar , T. S. Vishwanath
The compatibility of WSN is with various applications such as; healthcare and environmental monitoring. Whereas nodes present in that network have limited ‘battery-life’ that cause difficulty to replace and recharge those batteries after deployment. Energy efficiency is a major problem in the present situation. In present, many algorithms based on energy efficiency have been introduced to improvise the conservation of energy in WSN. The LEACH algorithm improvises the network lifetime in comparison to direct transmission and multi-hop, but it has several limitations. The selection of CHs can be randomly done that doesn’t confirm the optimal solution, proper distribution and it lacks during complete network management. The centralized EE optimized cluster establishment approach (OCEA) for sensor nodes is proposed to decrease the average energy dissipation and provide significant improvement. The proposed EE WSN model with the sensor nodes is examined under a real-time scenario and it is compared with state-of-art techniques where it balances the energy consumption of the network and decreasing the cluster head number.
Volume: 21
Issue: 3
Page: 1548-1556
Publish at: 2021-03-01

Radio frequency identification based smart parking system using Internet of Things

10.11591/ijra.v10i1.pp41-50
Rahman Atiqur
The ideas of shrewd urban communities have consistently been a fantasy. There have been headways produced using the recent years to make a shrewd city dream to reality with the advancement of innovation, smart gadgets are getting increasingly normal in regular daily existence. In this paper a radio frequency identification (RFID) based smart parking system using Internet of Things (IoT) innovation is actualized. The ultrasonic sensors are set before the parking spots and speaker is utilized for sign. On the off chance that the parking space is vacant, at that point light emitting diode (LED) will squint and the parking opening is full LED will be OFF. At the point when vehicle is left the RFID will peruse the data and cut the particular sum and by utilizing IoT location will be sent through short message service (SMS) to proprietor using global system for mobile communications (GSM) and global positioning system (GPS) advancements.
Volume: 10
Issue: 1
Page: 41-50
Publish at: 2021-03-01

Implementation of an incremental deep learning model for survival prediction of cardiovascular patients

10.11591/ijai.v10.i1.pp101-109
Sanaa Elyassami , Achraf Ait Kaddour
Cardiovascular diseases remain the leading cause of death, taking an estimated 17.9 million lives each year and representing 31% of all global deaths. The patient records including blood reports, cardiac echo reports, and physician’s notes can be used to perform feature analysis and to accurately classify heart disease patients. In this paper, an incremental deep learning model was developed and trained with stochastic gradient descent using feedforward neural networks. The chi-square test and the dropout regularization have been incorporated into the model to improve the generalization capabilities and the performance of the heart disease patients' classification model. The impact of the learning rate and the depth of neural networks on the performance were explored. The hyperbolic tangent, the rectifier linear unit, the Maxout, and the exponential rectifier linear unit were used as activation functions for the hidden and the output layer neurons. To avoid over-optimistic results, the performance of the proposed model was evaluated using balanced accuracy and the overall predictive value in addition to the accuracy, sensitivity, and specificity. The obtained results are promising, and the proposed model can be applied to a larger dataset and used by physicians to accurately classify heart disease patients.
Volume: 10
Issue: 1
Page: 101-109
Publish at: 2021-03-01

A performance enhancement of physical layer at Wi-MAX system with RLDPC code

10.11591/ijeecs.v21.i3.pp1557-1566
Sandeep Bawage , Manjula S , A. M. Bhavikatti
In present wireless communication network, the error correction codes plays the major role for efficient data transmission in noisy environments. To get minimum BER and PAPR has been the main aim towards the field in forward error control coding. Majority of the researchers has considered turbo codes at specific SNR over AWGN channel but have complexity issues with the iterative output decoder and causes degradation in the Wi-Max network system. In this paper, the author presents and evaluates WiMAX physical layer performance with using MIMO technologies, where a Robust-LDPC technique of coding and decoding in OFDM based WiMAX system is consider. The decoding method of RLDPC has processed by Belief Propagation at the logarithmic domain in an iterative manner, the proposed methodology shows good decoding outcome for RLDPC codes at Rician and Rayleigh channel. Moreover, the applicability of our proposed model channel codes is defined under IEEE Wi-MAX standard and the results analysis is done under different code-rate and modulation schemes.
Volume: 21
Issue: 3
Page: 1557-1566
Publish at: 2021-03-01

Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule

10.11591/ijai.v10.i1.pp43-50
Sumiati Sumiati , Hoga Saragih , Titik Abdul Rahman , Agung Triayudi
Limited public health services in remote areas, where the lack of transportation infrastructure, facilities, communication facilities and minimal medical personnel, especially for areas with underdeveloped, foremost, and regular (3T) status. The limitation of medical personnel is one of the factors for the high mortality rate of heart disease. On the other hand, the development of information technology, especially in the field of computing, is very fast in the era of the industrial revolution 4.0, but not yet used optimally, especially in the health sector. This study aims to develop a system or software that can replace a doctor for the process of identifying heart defects based on an expert system. Expert system developed with the certainty factor with multiple rule approach. System testing is carried out from the results of the system validity with experts, so that the system test results produce a certainty factor value for a normal heart of 0.95 and an accuracy level of 95%, while the certainty factor (CF) value for an abnormal heart is 0.99 and produces an accuracy rate of 99%.
Volume: 10
Issue: 1
Page: 43-50
Publish at: 2021-03-01

High modulated soliton power propagation interaction with optical fiber and optical wireless communication channels

10.11591/ijeecs.v21.i3.pp1575-1583
Mahmoud M. A. Eid , Ashraf S. Seliem , Ahmed Nabih Zaki Rashed , Abd El-Naser A. Mohammed , Mohamed Yassin Ali , Shaimaa S. Abaza
This paper has presented high modulated soliton power transmission interaction with optical fiber and optical wireless communication channels at flow rate of 40 Gbps and 20 km link range. The proposed modulation schemes are continuous phase frequency shift keying (CPFSK), Quadrature amplitude modulation (QAM), differential phase shift keying (DPSK), frequency shift keying (FSK), pulse amplitude modulation (PAM), minimum shift keying (MSK), and optical quadrature phase shift keying (OQPSK). CPFSK has presented better performance than other proposed modulation schemes for both optical fiber and optical wireless communication channels. The enhancement of optical signal/noise ratio at fiber/wireless channel, received electrical power and signal/noise ratio at optical receiver with increase of bits per symbol for different proposed modulation schemes except for CPFSK scheme. Therefore it is evident that CPFSK modulation scheme is more efficient and better performance than other modulation schemes for different communication channels. The obtained results are simulated with optisystem program version 13.
Volume: 21
Issue: 3
Page: 1575-1583
Publish at: 2021-03-01

Amplified and quantum based brain storm optimization algorithms for real power loss reduction

10.11591/ijape.v10.i1.pp21-25
Kanagasabai Lenin
In this work amplified brain storm optimization (ABS) algorithm and quantum based brain storm (QBS) optimization algorithm is applied to solve the problem. A node is arbitrarily chosen from the graph as the preliminary point to form a Hamiltonian cycle. At generation t and t+1, Lt and Lt+1 are the length of Hamiltonian cycle correspondingly. In the QBS algorithm a Quantum state of an idea is illustrated by a wave function ( ⃗ ) as an alternative of the position modernized only in brain storm optimization algorithm. Monte Carlo simulation method is used, to measure the position for each idea from the quantum state to the traditional one. Proposed ABS algorithm and QBS optimization algorithm has been tested in standard IEEE 57 bus test system and real power loss reduced effectively.
Volume: 10
Issue: 1
Page: 21-25
Publish at: 2021-03-01

Crucial problems in arranged the lesson plan of vocational teacher

10.11591/ijere.v10i1.20604
Muhammad Nurtanto , Nur Kholifah , Alias Masek , Putu Sudira , Achmad Samsudin
This study aimed to explore the implementation of the 2013 curriculum in vocational schools, Banten in terms of the readiness and quality of the learning tools that have been prepared. A total of 957 respondents from 2017 to 2018, consisting of four cities and three districts in Banten Province were involved in the training and mentoring program, namely vocational teachers and vice-principals in the curriculum field. Data were collected using questionnaire sheets, FGD notes, and observation check dates. The data obtained are analyzed and interpreted based on the specified categories. The results showed that: 1) Teacher readiness for learning tools in the components a) Core Competencies (CC) and Basic Competencies (BC) analysis of 45.31%, b) Program mapping of 38.37%, learning plan preparation of 39.45% and c) Learning evaluation of 36.78%; 2) The quality of lesson plan (LP) the science lesson plan analysis instrument (SLPAI) based is divided into two groups. The category "Quality" in the instructional program and instructional plan aspects, and the category "Moderate" in the instructional media and assessment and others aspects; and 3) The difficulty of learning device components, including authentic assessment, use of methods, literacy approaches, and lesson planning. The implementation of training, mentoring, and supervision programs are adjusted to the experience of vocational teachers taking into account the teacher's involvement in the implementation of the curriculum, age, and school readiness.
Volume: 10
Issue: 1
Page: 345-354
Publish at: 2021-03-01

Synchronizing phasor measurement and STATCOM controller in power system stability enhancement

10.11591/ijape.v10.i1.pp30-40
Debasish Mondal
The objective of this paper is to present the concepts of synchronizing phasor measurement (SPM) and its strategic application in addition with a STATCOM controller for augmentation of dynamic stability in a multimachine power network. The bus voltages of the power network under consideration are estimated in the form of digital signal by a synchronizing phasor measurement unit (SPMU). The output of the PMU is then applied to a fixed structure PI type lead-lag digital STATCOM controller in order to study the performance of this discrete-time digital control in comparison to its analog counterpart for the present control problem. The parameters of the analog controller are first tuned with a popular soft computation technique, particle swarm optimization (PSO) and later this controller is converted to digital one for simulation with sampled data outputs received from SPMU. The validation and effectiveness of the design of the proposed control scheme is illustrated through time domain simulation of a proposed 3- machine, 9-bus test power system. The simulation results of the machine speed deviation response established that the SPM based digital control system is more effectual and resulting better performance than the continuous-time analog control system in power system stability improvement.
Volume: 10
Issue: 1
Page: 30-40
Publish at: 2021-03-01

Solving optimal reactive power problem by hurricane search optimization algorithm

10.11591/ijape.v10.i1.pp26-29
Kanagasabai Lenin
In this paper proposed hurricane search optimization (HSO) algorithm is proposed to solve optimal reactive power problem. An upward motion of air is caused due to release of heat which creates a low-pressure zone and by the rotation of the earth that is set into spin. In this spiraling airflow when energy is high then hurricane is created. Projected HSO algorithm design is based on the examination of the horizontal wind structure in a hurricane and how the wind parcels the progression in the neighboring atmosphere. A mixture of wind models has been developed for past few years to Backtesting and to compute hurricane exterior wind fields. Proposed HSO algorithm has been tested in standard IEEE 30, 57bus test systems and simulation results show the projected algorithm reduced the real power loss considerably.
Volume: 10
Issue: 1
Page: 26-29
Publish at: 2021-03-01

Fixed scattering section length with variable scattering section dispersion based optical fibers for polarization mode dispersion penalties

10.11591/ijeecs.v21.i3.pp1540-1547
Mahmoud M. A. Eid , Ahmed Nabih Zaki Rashed
This study has clarified the fixed scattering section length with variable scattering section dispersion based optical fibers for polarization mode dispersion penalties at high data rates. The max. signal power/min. noise power is simulated against time after fiber length of 500 km with various scattering section dispersion. The overall total light power is simulated after fiber length of 500 km with various scattering section dispersion. In addition to the overall total electrical power is clarified through APD receiver at fiber length of 500 km with various scattering section dispersion. Eye diagram analyzer for signal quality is also simulated through APD receiver at fiber length of 500 km with various scattering section dispersion. The max. Q Factor, electrical signal power after APD receiver variations against scattering section dispersion variations for various data rates.
Volume: 21
Issue: 3
Page: 1540-1547
Publish at: 2021-03-01

Virtual machine migration in MEC based artificial intelligence technique

10.11591/ijai.v10.i1.pp244-252
Ali OUACHA , Mohamed EL Ghmary
The whole world is inundated with smaller devices equipped with wireless communication interfaces. At the same time, the amount of data generated by these devices is becoming more important. The smaller size of these devices has the disadvantage of being short of processing and storage resources (memory, processes, energy,...), especially when it needs to process larger amounts of data. In order to overcome this weakness and process massive data, devices must help each other. A low-resource node can delegate the execution of a set of computionly heavy tasks to another machine in the network to process them for it. The machine with sufficient computational resources must also deposit the appropriate environment represented by the adapted virtual machine. Thus, in this paper, in order to migrate the virtual machine to an edge server in a mobile edge computing environment, we have proposed an approach based on artificial intelligence. More specifically, the main idea of this paper is to cut a virtual machine into several small pieces and then send them to an appropriate target node (Edge Server) using the ant colony algorithm. In order to test and prove the effectiveness of our approach, several simulations are made by NS3. The obtained results show that our approach is well adapted to mobile environments.
Volume: 10
Issue: 1
Page: 244-252
Publish at: 2021-03-01

Supplier side optimal bidding strategy for electricity market using bacterial foraging optimization algorithm

10.11591/ijape.v10.i1.pp58-67
Uday Sriram L , Siva Nagaraju S , Chandram Karri
In this article, bacterial foraging optimization (BFO) algorithm is developed for single side optimal bidding strategy in an electricity market. Optimal bidding strategy is one of the important functions in the electricity market along with forecasting of the electricity price and the profit based unit commitment. The prime objective of generating company (Genco) is to maximize their profit when they participate in the bidding pro-cess. The BFO algorithm has been used to maximize the probability density function (pdf). In the second stage the BFO algorithm is again applied to maximize the profit of the suppliers. The proposed algorithm is developed in MATLAB (Version, 2019) and tested on standard test case available in the literature. Also, the simulation results are presented and compared. It is noticed that the proposed method yields the best results in terms of profit.
Volume: 10
Issue: 1
Page: 58-67
Publish at: 2021-03-01
1 2 3
...
1994 1995
Show 1000 of 1995

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration