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29,758 Article Results

Sizing and Implementation of Photovoltaic Water Pumping System for Irrigation

10.11591/ijai.v7.i1.pp54-62
Santosh S. Raghuwanshi , Vikas Khare
Solar photovoltaic systems convert energy of light directly into electrical energy. This work presents, a process to compute the required size of the stand-alone solar photovoltaic generator based water pumping system for an existing area. In addition solar photovoltaic generator is connecting voltage source inverter fed vector controlled induction motor-pump system. Perturb and observe are used for harvesting maximum power of PV generator in between buck-boost DC converter and inverter system. In this paper system result is validated by fuzzy logic system and compare with variable frequency drives based PI controllers, driving motor-pump system. The operational performance at 60 m head, VFD based controllers in terms overshoot and setting time and also analysis performance of motor-pump set under different weather conditions. By assessment of system we find that speed and torque variation, overshoot and settling time is more with PI controller, Fuzzy logic controller (FLC) performance have dominance to VFD based PI controller.
Volume: 7
Issue: 1
Page: 54-62
Publish at: 2018-03-01

Tracing Mathematical Function of Age Specific Fertility Rate in Peninsular Malaysia

10.11591/ijeecs.v9.i3.pp637-642
Norsyela Muhammad Noor Mathivanan , Puzziawati Ab Ghani , Nor Azura Md.Ghani
The size, structure, and composition of a population are affected by the fertility rates at any point of time. Many researchers took the opportunity to exploit the fertility rates in obtaining better fertility patterns for their country. The curve for the age specific fertility rate is consistent, and this feature allows the curve to be matched with a mathematical model. This paper aimed to identify the best mathematical model that fits the recent age specific fertility rate in Peninsular Malaysia. This study fitted the fertility data of Peninsular Malaysia from 1996 to 2014 to the four mathematical models, which were Hadwiger, Gamma, Beta, and Gompertz models. From the comparisons of the four models, it was found that the best fitted mathematical model is Hadwiger model. In relation to the data of early 21st century, there was an inclination for the best fitted mathematical model from Hadwiger model to Beta model. Hence, the best mathematical model for each year can be used to convert a fertility schedule classified in a five-year age group into a fertility schedule for a single-year of age in Peninsular Malaysia. This model also can be helpful for population projections by using limited and defective data. 
Volume: 9
Issue: 3
Page: 637-642
Publish at: 2018-03-01

License Plate Recognition Using Undecimated Wavelet Transform

10.11591/ijeecs.v9.i3.pp558-560
G. Kannan
License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is used to get accurate results after feature extraction. Finally detected images are used for classification purpose using the feature coefficients. This technique is applied to all the unidentified and training images, extracted features are used as input to Back Propagation Neural Network (BPNN). The evaluation of the system is based on public database.
Volume: 9
Issue: 3
Page: 558-560
Publish at: 2018-03-01

Artificial Intelligence: Way Forward for India

10.11591/ijai.v7.i1.pp19-32
Sunil Kumar Srivastava
Artificial Intelligence (AI) is likely to transform the way we live and work. Due to its high potential, its adoption is being treated as the fourth industrial revolution. As with any major advancement in technology, it brings with it a spectrum of opportunities as well as challenges. On one hand, several applications have been developed or under development with potential to improve the quality of life significantly. As per a study, it is expected to double the annual economic growth rate of 12 developed countries by 2035. On the other hand, there is a possibility of loss of jobs. As per the available reports, the loss of jobs during the next 10-20 years is estimated to be 47% in the US, 35% in the UK, 49% in Japan, 40% in Australia, and 54% in the EU. In the era of globalization, no country can isolate itself from the impact of the advances in technology. However, the benefits can be maximized and losses can be minimized by putting necessary infrastructure and policy in place. Though several countries have decided their strategy for AI, India has not yet formulated its strategy. The report reviews the international as well as national scenario and suggests way forward for India. 
Volume: 7
Issue: 1
Page: 19-32
Publish at: 2018-03-01

Artificial Neural Network for Healthy Chicken Meat Identification

10.11591/ijai.v7.i1.pp63-70
Fajar Yumono , Imam Much Ibnu Subroto , Sri Arttini Dwi Prasetyowati
Indonesia is the country with the largest number of Muslims in the world. Every Muslim is taught to consume thoyyiban halal meat or healthy chicken because it is slaughtered in the right way and stored in a good way too. But the reality in the market of many chicken meat on the market can not meet that criteria. Identification of healthy chicken meat can be done with laboratory experiments, but that is not simple and takes time. This experiment offers a cheaper, faster approach, with very high accuracy. The experimental approach is based on color and texture analysis on 5 types of meat quality based on healthy value. Color analysis was performed using artificail neural network (ANN) while texture analysis used Canny edge detection. Experimental results show that the color histogram approach with ANN is better than the texture approach, ie 94% versus 66%. It can be concluded that the freshness of a chicken does not have much effect on the texture of the meat but it has an effect on the color change in the meat.
Volume: 7
Issue: 1
Page: 63-70
Publish at: 2018-03-01

Prospect Convenient Steadfast Procedure in Wireless Sensor Network

10.11591/ijeecs.v9.i3.pp613-615
Jewan Singh , Vibhakar Mansotra
This article objective is to improve the steadfast routing in Wireless Sensor Networks with little interfering and avoid packet collision. In the scheme, the entire node has the option of electing next Data Communication Node (DCN). The next data communication node is chosen depend on the intensity of link, remaining energy, and the node with distance towards the Base Station. Thus, the sender node transmits the information to the best DCN. Instantly, the DCN sends the acknowledgement (ACK) along with the number of packets received back to the node from which it obtains the data. The sender node assures the delivery of the transmitted packets by comparing the value of number of packets sent with the value obtained with the acknowledgement. If they are equivalent, it will send the verification identity to the DCN. If it is not equivalent, it will decide another node with highest link intensity. After that, the data chooses the DCN and repeat the process until the data reaches the Base Station.
Volume: 9
Issue: 3
Page: 613-615
Publish at: 2018-03-01

An Non Destructive Test for the Detection of Weld Defects Using Image Processing

10.11591/ijeecs.v9.i3.pp764-770
Kalaiselvi V , John Aravindhar D
Welding is a fabrication of joining materials into one component. Defects are unavoidable during the welding process, and hence the inspection of welds is a most important task in many industries. In this work, a Computer Aided Detection (CAD) system is designed to detect weld defects based on image processing techniques. It is a non-destructive testing which uses X-ray images. The proposed system mainly consists of three stages; gradient image formation, filtration by Gaussian pyramidal filters algorithm and segmentation by Expectation and Maximization (EM) algorithm. In this study, GD X-ray weld image database is used to evaluate the proposed system. The performance analysis of the proposed system is done by measuring the sensitivity, specificity, and accuracy of the segmented image with the help of its corresponding ground truth images.
Volume: 9
Issue: 3
Page: 764-770
Publish at: 2018-03-01

Proximity Sensors Based Marine Engine Fault Detection Using CAN Protocol

10.11591/ijeecs.v9.i3.pp619-623
J. Brindha , V. Vijayakumar
This paper talked about an outline and execution assessment of marine motor blame recognition framework by utilising vicinity sensor. A non-linearity can be diminished by using the sensor without expanding the reaction time by applying CANopen convention. The marine motor blame location framework can measures crankshaft deflection, and the base flawlessly focused of crosshead progressively and enabled it to keep good breakdown from the marine engine by interlocking AMS (Alarm Monitoring System).
Volume: 9
Issue: 3
Page: 619-623
Publish at: 2018-03-01

Optimization of Arithmetical Operators for the Enhanced Wallace Stage

10.11591/ijeecs.v9.i3.pp591-594
K. Gugan , S. V. Saravanan
In the field of Digital signal processing (DSP), the reduction of some logical elements counts is one of the main considerations. To minimize the area, computational delay, and power, the digital form FIR filter is to be implemented. The optimization of the ATP (Area, Time and Power) is achieved by using the efficient multiplication and accumulation unit (MAC). In this work, the direct form FIR filter with the efficient MAC unit is presented. At the initial stage, the half adders and full adders are to be modified by the reduction of the logical gates. The modified half and full adder are implemented in the Wallace tree multiplier for performing the efficient multiplication process. Carry save adder is divided into the two stages to reduce the computational delay of arithmetical operators. The proposed MAC design is implemented in the direct form FIR filter by using the HDL language.
Volume: 9
Issue: 3
Page: 591-594
Publish at: 2018-03-01

Power of Ambient Tempurature on the Performance of the Semiconductor Laser

10.11591/ijeecs.v9.i3.pp606-608
J. S. Ashwin , N. Manoharan
In this paper, the impact of surrounding temperature on the execution of the semiconductor laser is systematically examined in principle. We constructed the recreation display and the simulation results about showed that ambient temperature changes would influence the laser chip temperature, bringing about the laser key parameters in reproduction comes about.
Volume: 9
Issue: 3
Page: 606-608
Publish at: 2018-03-01

Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation

10.11591/ijeecs.v9.i3.pp696-702
Byamakesh Nayak , Sangeeta Sahu , Tanmoy Roy Choudhury
This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.
Volume: 9
Issue: 3
Page: 696-702
Publish at: 2018-03-01

Design of Low Power Low Noise Amplifier using Gm-boosted Technique

10.11591/ijeecs.v9.i3.pp685-689
Maizan Muhamad , Norhayati Soin , Harikrishnan Ramiah
This paper presents the development of low noise amplifier integrated circuit using 130nm RFCMOS technology. The low noise amplifier function is to amplify extremely low noise amplifier without adding noise and preserving required signal to a noise ratio. A detailed methodology and analysis that leads to a low power LNA are being discussed throughout this paper. Inductively degenerated and Gm-boosted topology are used to design the circuit. Design specifications are focused for 802.11b/g/n IEEE Wireless LAN Standards with center frequency of 2.4 GHz. The best low noise amplifier provides a power gain (S21) of 19.841 dB with noise figure (NF) of 1.497 dB using the gm-boosted topology while the best low power amplifier drawing 4.19mW power from a 1.2V voltage supply using the inductively degenerated.
Volume: 9
Issue: 3
Page: 685-689
Publish at: 2018-03-01

Mobile-robot Navigation through Fuzzy Behavioral Algorithm & Vector-polar Histogram Algorithm

10.11591/ijeecs.v9.i3.pp565-571
Alaudeen Basha , V. Vijayakumar
The route of self-governing ground vehicles through general conditions has gotten generous research consideration. Be that as it may, the writing contains not very many correlations of the course ideal models for AGVs, particularly for calculations utilising range discoverers. The fluffy behavioural approach and vector field histogram (VFH) approach are outstanding strategies that can be actualised using range discoverers. This paper will concentrate on looking at their structure, simplicity of programming and calculation tuning, and execution. Both methodologies actualised on a Pioneer 2 robot, outfitted with a SICK laser run discoverer.
Volume: 9
Issue: 3
Page: 565-571
Publish at: 2018-03-01

An Automatic Coffee Plant Diseases Identification Using Hybrid Approaches of Image Processing and Decision Tree

10.11591/ijeecs.v9.i3.pp806-811
Abrham Debasu Mengistu , Seffi Gebeyehu Mengistu , Dagnachew Melesew Alemayehu
Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD) and Coffee Wilt Disease (CWD) are the three main diseases that attack coffee plants. This paper presents the identification of these types diseases using hybrid approaches of image processing and decision tree. The images are taken from Southern Ethiopia, Jimma and Zegie. In this paper backpropagation artificial neural network (BPNN) and decision tree had been used as techniques; a total of 9100 images were collected. From these, 70% are used for training and the remaining 30% are used for testing. In general, 94.5% accuracy achieved when decision tree and BPNN with tanh activation function are combined.
Volume: 9
Issue: 3
Page: 806-811
Publish at: 2018-03-01

Investigation and Visualization of Query Determine Spatial Pattern in GIS

10.11591/ijeecs.v9.i3.pp552-554
Anto Xavier. A , A. Arivazhagan
Earth elements are arranged following one or many standards called spatial patterns. Around the globe many elements share normal examples. To find those patterns and dissecting those through a few information visualization strategies can prompt a decent choice supporting framework. Information like area astute populace, schools and healing facilities is gathered from various sources. To store GIS information PostgreSQL and PostGIS is giving a good support and capable database. GIS maps are made utilizing instrument QGIS (Open source) for the visualization reason. To characterize basic example from the given dataset, bunches are framed from populace field. To bunch information OPTICS grouping strategy is utilized. At that point choice tree by data pick up strategy is utilized for the administered learning. To show the outcome open source programming Geo server is utilized. Geo server handle the client questions and show the outcome on the dynamic maps.
Volume: 9
Issue: 3
Page: 552-554
Publish at: 2018-03-01
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