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29,905 Article Results

Early Weight Gain during Pregnancy: Which Women are the Most Affected?

10.11591/ijphs.v5i2.4779
Tebbani Fouzia , Oulamara Hayet , Agli Abdenacer
Maternal weight gain during pregnancy is a good prediction tool in short and long term health of pregnant women and their children. To study the effect of early weight gain of pregnant women until the end of the 2nd trimester of pregnancy, depending on their pre-pregnancy body mass index. 116 healthy pregnant women were followed until the 2nd trimester of pregnancy, their weight and height before pregnancy, as well as the current weight at the end of the 1st and 2nd trimesters were collected. Data included age, parity, eating habits and physical activity level. Statistics were performed using the Statview software. The mean pre-pregnancy BMI was 27 ± 5.27 kg/m². Weight gain in the 2nd trimester is 6.33 ± 4.84 kg. It decreases with the increasing age of the mother (25% of women between 20 and 24.9 years vs 12.5% of more than 35). Also, it decreases with the increasing number of children (62.5% in nulliparous vs 25% in multiparous). Breakfast is skipped by 64.5 % of overweight pregnant women in the 1st trimester and 90 % in the 2nd one. 80.17% and 69.83% of pregnant women do not practice any physical activity. Overweight and obese pregnant women before pregnancy do not take enough weight during pregnancy. Prospects will to analyze behaviors related to health and social status.
Volume: 5
Issue: 2
Page: 151-157
Publish at: 2016-06-01

Automatic Detection of Illegitimate Websites with Mutual Clustering

10.11591/ijece.v6i3.pp995-1001
Kanaka Durga , V Rama Krishna
In the websites the contents will be are similarity when we compared with other search engines. So to check the similar content in the websites and its web contents we created a overhead to the search engine which will severely effect its performance & quality. So to detect the silmilar or same content or web documenattion some techniques are implemented by web crawling research community. So it is one of major factor for the search engines to provide some applicatory data to users in the first page itself. So to avoid such issues we proposed a methodlogy called Automatic Detection of illegitimate websites with Mutual Clustering (ADIWMC) paper we are presenting a peculiar and efficacious path for the detection of similarities in the web pages in web clustering. Detection of same and similar web pages and web content will be done by storing the crawled web pages into depository. Initially the adwords will be extracted from the crawled pages and similarity checking will be done between the two pages based in the usage of adwords. So a threshold value is set for this, if the similarity checking percentage is greater than the threshold then similarity content is reduced and improves the depositary and improves the search engine quality. In the sections of existing analysis and the proposed analysis we are clearly exploring how it works.
Volume: 6
Issue: 3
Page: 995-1001
Publish at: 2016-06-01

Design of Multiplier for Medical Image Compression Using Urdhava Tiryakbhyam Sutra

10.11591/ijece.v6i3.pp1140-1151
Suma Suma , V. Sridhar
Compressing the medical images is one of the challenging areas in healthcare industry which calls for an effective design of the compression algorithms. The conventional compression algorithms used on medical images doesn’t offer enhanced computational capabilities with respect to faster processing speed and is more dependent on hardware resources. The present paper has identified the potential usage of Vedic mathematics in the form of Urdhava Tiryakbhyam sutra, which can be used for designing an efficient multiplier that can be used for enhancing the capabilities of the existing processor to generate enhance compression experience. The design of the proposed system is discussed with respect to 5 significant algorithms and the outcome of the proposed study was testified with heterogeneous samples of medical image to find that proposed system offers approximately 57% of the reduction in size without any significant loss of data.
Volume: 6
Issue: 3
Page: 1140-1151
Publish at: 2016-06-01

A Hybrid Model Schema Matching Using Constraint-Based and Instance-Based

10.11591/ijece.v6i3.pp1048-1058
Edhy Sutanta , Retantyo Wardoyo , Khabib Mustofa , Edi Winarko
Schema matching is an important process in the Enterprise Information Integration (EII) which is at the level of the back end to solve the problems due to the schematic heterogeneity. This paper is a summary of preliminary result work of the model development stage as part of research on the development of models and prototype of hybrid schema matching that combines two methods, namely constraint-based and instance-based. The discussion includes a general description of the proposed models and the development of models, start from requirement analysis, data type conversion, matching mechanism, database support, constraints and instance extraction, matching and compute the similarity, preliminary result, user verification, verified result, dataset for testing, as well as the performance measurement. Based on result experiment on 36 datasets of heterogeneous RDBMS, it obtained the highest P value is 100.00% while the lowest is 71.43%; The highest R value is 100.00% while the lowest is 75.00%; and F-Measure highest value is 100.00% while the lowest is 81.48%. Unsuccessful matching on the model still happens, including use of an id attribute with data type as autoincrement; using codes that are defined in the same way but different meanings; and if encountered in common instance with the same definition but different meaning.
Volume: 6
Issue: 3
Page: 1048-1058
Publish at: 2016-06-01

Design Of A Nonvolatile 8T1R SRAM Cell For Instant-On Operation

10.11591/ijece.v6i3.pp1183-1189
J. Mounica , G.V. Ganesh
Now-a-days, Energy consumption is the major key factor in Memories. By switching the circuit in off mode and with an lower voltages, leads to decrease in an power dissipation of the circuit. Compared to DRAM SRAM’S are mostly used because of their data retaining capability. The major advantage of using SRAM’s rather than DRAM’S is that, they are providing fast power-on/off speeds. Hence SRAM’s are more preferred over DRAM’s for better instant-on operation. Generally SRAM’s are classified in to two types namely volatile and non-volatile SRAM’s. A non-volatile SRAM enables chip to achieve performance factors and also provides an restore operation which will be enabled by an restore signal to restore the data and also power-up operation is performed. This paper describes about novel NVSRAM circuit which produces better “instant-on operation” compared to previous techniques used in SRAM’s. In addition to normal 6T SRAM core, we are using RRAM circuitry (Resistive RAM) to provide better instant-on operation. By comparing the performance factors with 8T2R and 9T2R, 8T1R design performs the best in the Nano meter scale. Thus this paper provides better performances in power, energy, propagation delay and area factors as compared with other designs.
Volume: 6
Issue: 3
Page: 1183-1189
Publish at: 2016-06-01

An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks

10.11591/ijece.v6i3.pp1294-1304
Dragan Mlakić , Srete N Nikolovski , Goran Knežević
The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.
Volume: 6
Issue: 3
Page: 1294-1304
Publish at: 2016-06-01

A Thorough Insight to Techniques for Performance Evaluation in Biological Sensors

10.11591/ijece.v6i3.pp986-994
Subhas Meti , V G Sangam
The biological sensor has played a significant and contributory role in the area of medical science and healthcare industry. Owing to critical healthcare usage, it is essential that such type of sensors should be highly robust, sustainable under the adverse condition and highly fault tolerant against any forms of possible system failure in future. A massive amount of research work has been done in the area of the sensor network. However, works done in biological sensors are quite less in number. Hence, this manuscript highlights all the significant research work towards the line of discussion for evaluating the effective in the techniques for performance evaluation of biological sensor. The study finally explores the problems and discusses it under research gap. Finally, the manuscript gives highlights of the future direction of the work to solve the research gap explored from the proposed review of the existing system.
Volume: 6
Issue: 3
Page: 986-994
Publish at: 2016-06-01

DNA Bar-coding: A Novel Approach for Identifying an Individual Using Extended Levenshtein Distance Algorithm and STR analysis

10.11591/ijece.v6i3.pp1133-1139
Likhitha C P , Ninitha P , Kanchana V
DNA bar-coding is a technique that uses the short DNA nucleotide sequences from the standard genome of the species in order to find and group the species to which it belongs to. The species are identified by their DNA nucleotide sequences in the same way the items are recognized and billed in the supermarket using barcode scanner to scan the Universal Product Code of the items. Two items may look same to the untrained eye, but in both cases the barcodes are distinct. It was possible to create DNA-barcodes to characterize species by analysing DNA samples from fish, birds, mammals, plants, and invertebrates using Smith-waterman and Needleman-Wunsch algorithm. In this work we are creating human DNA barcode and implementing Extended Levenshtein distance algorithm along with STR analysis that uses less computation time compared to the previously used algorithms to measure the differential distance between the two DNA nucleotide sequences through which an individual can be identified.
Volume: 6
Issue: 3
Page: 1133-1139
Publish at: 2016-06-01

Optimal Coordination of DOCR for Radial Distribution Systems in Presence of TCSC

10.11591/ijpeds.v7.i2.pp311-321
Lazhar Bougouffa , Abdelaziz Chaghi
Protective relays coordination is the process of determining the exact relay settings such that the relay closes to the fault would operates faster than other relays. The operating time of each relay depends on two independent variables called Pickup current (Ip) and Time Dial Setting (TDS). In this paper, a PSO algorithm has been presented to determine the coordination of Directional Over-Current Relays (DOCRs) in presence of multi-system FACTS devises. From the simulation result and analysis, the impact of TCSC location in the in 33-bus distribution system on Directional Over-Current Relays has been observed on the optimal relays settings as well as the effectiveness of the proposed algorithm in finding optimal coordination of directional over-current relays.
Volume: 7
Issue: 2
Page: 311-321
Publish at: 2016-06-01

Fast document summarization using locality sensitive hashing and memory access efficient node ranking

10.11591/ijece.v6i3.pp945-954
Ercan Canhasi
Text modeling and sentence selection are the fundamental steps of a typical extractive document summarization algorithm.   The common text modeling method connects a pair of sentences based on their similarities.   Even thought it can effectively represent the sentence similarity graph of given document(s) its big drawback is a large time complexity of $O(n^2)$, where n represents the number of sentences.   The quadratic time complexity makes it impractical for large documents.   In this paper we propose the fast approximation algorithms for the text modeling and the sentence selection.   Our text modeling algorithm reduces the time complexity to near-linear time by rapidly finding the most similar sentences to form the sentences similarity graph.   In doing so we utilized Locality-Sensitive Hashing, a fast algorithm for the approximate nearest neighbor search.   For the sentence selection step we propose a simple memory-access-efficient node ranking method based on the idea of scanning sequentially only the neighborhood arrays.    Experimentally, we show that sacrificing a rather small percentage of recall and precision in the quality of the produced summary can reduce the quadratic to sub-linear time complexity.   We see the big potential of proposed method in text summarization for mobile devices and big text data summarization for internet of things on cloud.   In our experiments, beside evaluating the presented method on the standard general and query multi-document summarization tasks, we also tested it on few alternative summarization tasks including general and query, timeline, and comparative summarization.
Volume: 6
Issue: 3
Page: 945-954
Publish at: 2016-06-01

Performance Analysis of Digital Modulation for Coherent Detection of OFDM Scheme on Radio over Fiber System

10.11591/ijece.v6i3.pp1086-1095
Fauza Khair , Fakhriy Hario P , I Wayan Mustika , Budi Setiyanto
Radio over fiber (RoF) system with the coherent detection offers high linearity for the transparent transport of high-frequency microwave signals, and better receiver sensitivity compared with intensity-modulated direct detection systems. The purpose of this paper is to analyze the performance of digital modulation for coherent detection of orthogonal frequency division multiplexing (OFDM) scheme on RoF system at 10 Gbps up to 100 km fiber length. The results show that coherent detection of OFDM-RoF system with 16 quadrature amplitude modulation (16-QAM) has the value of  bit error rate (BER) and the symbol error rate (SER) is very low and its constellation is better compared with other modulation formats (4-QAM, quadrature phase shift keying (QPSK), 8-PSK and 16-PSK), which BER 16-QAM is 0.053 and SER is 15.7%. The results also show that BER value of 4-QAM and QPSK relatively similar to fiber length variations. In general, an increasing value of the BER and SER for each modulation format are almost equal to the fiber length of 60-70 km (Region I and II). However, there is a significant increase in the value of BER in fiber length of 80-100 km (Region III. A and III. B) for the modulation of 4-QAM, QPSK, 8-PSK, and 16-PSK.
Volume: 6
Issue: 3
Page: 1086-1095
Publish at: 2016-06-01

Estimation of Excitation Capacitance Requirement of an Isolated Multi-phase Induction Generator for Power Generation

10.11591/ijpeds.v7.i2.pp561-567
Alok Kumar Mohanty , K B Yadav
Self Excited induction generators are used in remote places for electrical power generation from both conventional as well as non-conventional sources. An Induction generator can operate as a capacitor excited machine provided the machine is driven beyond synchronous speed and a suitable capacitor is connected across its terminals. In this paper a technique has been proposed to estimate the values of excitation capacitances to maintain desired terminal voltages in a multi-phase induction generator. A mathematical model using nodal admittance technique of a six-phase induction generator has been analyzed. Genetic algorithm technique is applied here to obtain the unknown parameters and the capacitance requirements to obtain desired terminal voltages under various operating conditions.
Volume: 7
Issue: 2
Page: 561-567
Publish at: 2016-06-01

Referenced Approximation Technique for a Rom-Less Sweep Frequency Synthesizer

10.11591/ijece.v6i3.pp1213-1222
Atman Jbari , Larbi Bellarbi , Abdelhamid Errachid
The main goal of this paper is to present a novel ROM-less direct digital frequency synthesizer for sweep instrumentation systems. It provides a main sweep channel for frequency analysis and a reference channel for phase and amplitude measurement block operating at constant frequency. For phase to amplitude converter, we propose a new trigonometric approximation technique based on a set of reference angles. In addition, we present the design of the proposed synthesizer and its evaluation in Matlab-Simulink environment. The simulation results illustrate the performances and demonstrate the effectiveness of our proposed circuit.
Volume: 6
Issue: 3
Page: 1213-1222
Publish at: 2016-06-01

Permanent Magnet Synchronous Motor Design using Grey Wolf Optimizer Algorithm

10.11591/ijece.v6i3.pp1353-1362
Yannis L Karnavas , Ioannis D Chasiotis , Emmanouil L Peponakis
Common high-torque low-speed motor drive schemes combine an induction motor coupled to the load by a mechanical subsystem which consists of gears, belt/pulleys or camshafts. Consequently, these setups present an inherent drawback regarding to maintenance needs, high costs and overall system deficiency. Thus, the replacement of such a conventional drive with a properly designed low speed permanent magnet synchronous motor (PMSM) directly coupled to the load, provides an attractive alternative. In this context, the paper deals with the design evaluation of a 5kW/50rpm radial flux PMSM with surface-mounted permanent magnets and inner rotor topology. Since the main goal is the minimization of the machine's total losses and therefore the maximization of its efficiency, the design is conducted by solving an optimization problem. For this purpose, the application of a new meta-heuristic optimization method called “Grey Wolf Optimizer” is studied. The effectiveness of the method in finding appropriate PMSM designs is then evaluated. The obtained results of the applied method reveal satisfactorily enhanced design solutions and performance when compared with those of other optimization techniques.
Volume: 6
Issue: 3
Page: 1353-1362
Publish at: 2016-06-01

Two-way Mechanism to Enhance Confidentiality and Accuracy of Shared Information

10.11591/ijece.v6i4.pp1785-1791
Manash Pratim Dutta , Subhasish Banerjee , Swarnendu Kumar Chakraborty , Chandan Tilak Bhunia
As such internet and information technology have influenced the human life significantly thus the current technology cannot solely assure the security of shared information. Hence, to fulfil such requirements mass amount of research have been undertaken by various researchers among which one of the mechanisms is the use of dynamic key rather than static one. In this regard, we have proposed a method of key generation to provide the dynamic keys. The scheme not only can change the key but also provide the error control mechanism. At the end of this paper, a comparison with the existing techniques has also been made to prove the efficiency of the proposed scheme.
Volume: 6
Issue: 4
Page: 1785-1791
Publish at: 2016-05-14
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