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29,061 Article Results

Data Partitioning in Mongo DB with Cloud

10.11591/ijaas.v7.i1.pp21-28
Aakanksha Jumle , Swati Ahirrao
Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The results of partitioning technique is conducted and evaluated using TPC-C benchmark.
Volume: 7
Issue: 1
Page: 21-28
Publish at: 2018-03-01

SLIC Superpixel Based Self Organizing Maps Algorithm for Segmentation of Microarray Images

10.11591/ijaas.v7.i1.pp78-85
Durga Prasad Kondisetty , Mohammed Ali Hussain
We can find the simultaneous monitoring of thousands of genes in parallel Microarray technology. As per these measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, Intensity extraction, Enhancement and Segmentation are important steps in microarray image analysis. This paper gives simple linear iterative clustering (SLIC) based self organizing maps (SOM) algorithm for segmentation of microarray image. The clusters of pixels which share similar features are called Superpixels, thus they can be used as mid-level units to decrease the computational cost in many vision applications. The proposed algorithm utilizes superpixels as clustering objects instead of pixels. The qualitative and quantitative analysis shows that the proposed method produces better segmentation quality than k-means, fuzzy c-means and self organizing maps clustering methods.
Volume: 7
Issue: 1
Page: 78-85
Publish at: 2018-03-01

Digital Control of Three-Phase Cascaded Multilevel Inverter Using FPGA Wavect Tool

10.11591/ijpeds.v9.i1.pp189-197
Chinmayi Srikanth , Shivaleelavathi B G
The multi carrier modulation technique is the most employed   PWM technique for cascaded multilevel inverter (CMLI) since this control strategy can be easily extended to higher number of levels of output compared to space vector PWM technique. This paper proposes a modified multi carrier PWM technique for three-phase CMLI. The proposed PWM technique has been implemented using MATLAB Xilinx System Generator, which automatically generate code from system model. The hardware implementation of the three-phase CMLI has been carried out to substantiate the working of proposed PWM technique. Novel FPGA Wavect digital controller is used to generate the PWM pulses, which is a real time simulator and controller. This digital controller improves the accuracy of the hardware implementation. Hardware implementation of proposed control strategy for three-phase CMLI with RL load proves that the proposed PWM technique results in improved power output quality with reduced harmonic components.
Volume: 9
Issue: 1
Page: 189-197
Publish at: 2018-03-01

Workload Aware Incremental Repartitioning of NoSQL for Online Transactional Processing Applications

10.11591/ijaas.v7.i1.pp54-65
Anagha Bhunje , Swati Ahirrao
Numerous applications are deployed on the web with the increasing popularity of internet. The applications include, 1) Banking applications, 2) Gaming applications, 3) E-commerce web applications. Different applications reply on OLTP (Online Transaction Processing) systems. OLTP systems need to be scalable and require fast response. Today modern web applications generate huge amount of the data which one particular machine and Relational databases cannot handle. The E-Commerce applications are facing the challenge of improving the scalability of the system. Data partitioning technique is used to improve the scalability of the system. The data is distributed among the different machines which results in increasing number of transactions. The work-load aware incremental repartitioning approach is used to balance the load among the partitions and to reduce the number of transactions that are distributed in nature. Hyper Graph Representation technique is used to represent the entire transactional workload in graph form. In this technique, frequently used items are collected and Grouped by using Fuzzy C-means Clustering Algorithm. Tuple Classification and Migration Algorithm is used for mapping clusters to partitions and after that tuples are migrated efficiently.
Volume: 7
Issue: 1
Page: 54-65
Publish at: 2018-03-01

Experimental and Modeling Dynamic Study of the Indirect Solar Water Heater: Application to Rabat Morocco

10.11591/ijaas.v7.i1.pp86-96
Ouhammou Badr , Azeddine Frimane , Aggour Mohammed , Brahim Daouchi , Abdellah Bah , Halima Kazdaba
The Indirect Solar Water Heater System (SWHS) with Forced Circulation is modeled by proposing a theoretical dynamic multi-node model. The SWHS, which works with a 1,91 m2 PFC and 300 L storage tank, and it is equipped with available forced circulation scale system fitted with an automated sub-system that controlled hot water, is what the experimental setup consisted of. The system, which 100% heated water by only using solar energy. The experimental weather conditions are measured every one minute. The experiments validation steps were performed for two periods, the first one concern the cloudy days in December, the second for the sunny days in May; the average deviations between the predicted and the experimental values is 2 %, 5 % for the water temperature output and for the useful energy  are 4 %, 9 % respectively for the both typical days, which is very satisfied. The thermal efficiency was determined experimentally and theoretically and shown to agree well with the EN12975 standard for the flow rate between 0,02 kg/s and 0,2kg/s.
Volume: 7
Issue: 1
Page: 86-96
Publish at: 2018-03-01

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

10.11591/ijpeds.v9.i1.pp55-63
Lakhdari Lahcen , B. Bouchiba
In this paper, using synthesis of a hybrid control is applied to the speed of an induction motor feed by three-level inverter. Based on the combination of the fuzzy logic and the sliding mode approach, this method has the advantage of combining the performances of the two types of controllers. The fuzzy logic confers a very appreciable flexibility to the reasoning which uses and makes it possible to take into account Imprecisions and uncertainties, The sliding mode is a controller for nonlinear systems with non-constant parameters; it leads to precision and robustness, and allows solving problems obtained by conventional control laws. To lift the stresses of external disturbance and makes the system more performing and more robust, the two controllers of fuzzy logic and sliding mode are combined.
Volume: 9
Issue: 1
Page: 55-63
Publish at: 2018-03-01

An Improved Greedy Parameter Stateless Routing In Vehicular Ad Hoc Network

10.11591/ijaas.v7.i1.pp73-77
Kavita Kavita , Neera Batra , Rishi Pal Singh
Congestion problem and packet delivery related issues in the vehicular ad hoc network environment is a widely researched problem in recent years. Many network designers utilize various algorithms for the design of ad hoc networks and compare their results with the existing approaches. The design of efficient network protocol is a major challenge in vehicular ad hoc network which utilizes the value of GPS and other parameters associated with the vehicles. In this paper GPSR protocol is improved and compared with the existing GPSR protocol and AODV protocol on the basis of various performance parameters like throughput of the network, delay and packet delivery ratio. The results also validate the performance of the proposed approach.
Volume: 7
Issue: 1
Page: 73-77
Publish at: 2018-03-01

Graph Based Workload Driven Partitioning System by using MongoDB

10.11591/ijaas.v7.i1.pp29-37
Arvind Sahu , Swati Ahirrao
The web applications and websites of the enterprises are accessed by a huge number of users with the expectation of reliability and high availability. Social networking sites are generating the data exponentially large amount of data. It is a challenging task to store data efficiently. SQL and NoSQL are mostly used to store data. As RDBMS cannot handle the unstructured data and huge volume of data, so NoSQL is better choice for web applications. Graph database is one of the efficient ways to store data in NoSQL. Graph database allows us to store data in the form of relation. In Graph representation each tuple is represented by node and the relationship is represented by edge. But, to handle the exponentially growth of data into a single server might decrease the performance and increases the response time. Data partitioning is a good choice to maintain a moderate performance even the workload increases. There are many data partitioning techniques like Range, Hash and Round robin but they are not efficient for the small transactions that access a less number of tuples. NoSQL data stores provide scalability and availability by using various partitioning methods. To access the Scalability, Graph partitioning is an efficient way that can be easily represent and process that data. To balance the load data are partitioned horizontally and allocate data across the geographical available data stores. If the partitions are not formed properly result becomes expensive distributed transactions in terms of response time. So the partitioning of the tuple should be based on relation. In proposed system, Schism technique is used for partitioning the Graph. Schism is a workload aware graph partitioning technique. After partitioning the related tuples should come into a single partition. The individual node from the graph is mapped to the unique partition. The overall aim of Graph partitioning is to maintain nodes onto different distributed partition so that related data come onto the same cluster.
Volume: 7
Issue: 1
Page: 29-37
Publish at: 2018-03-01

Incursion Recognition Mechanism Based on Secure Network System

10.11591/ijeecs.v9.i3.pp543-545
A. Mohamed Divan Masood , S. K. Muthusundar
Internet based computing dissimilar services such as server storage and applications are shared on the internet. This makes cloud computing one of the most promising and rapidly growing technologies. As it relies on sharing computer resources, it is prone to various security risks. Individual such security issue is Distributed Denial of Services attack on cloud. A DDos assault can begin from anyplace in the system and normally overpowers the casualty server by sending countless. This paper deals with the prevention of DDos attacks and how honey pot approach can be used in cloud computing to counter DDos attacks.
Volume: 9
Issue: 3
Page: 543-545
Publish at: 2018-03-01

Sensorless Control of IPMSM Drive using EKF with Electromegnetic Noise Effect

10.11591/ijpeds.v9.i1.pp157-165
K Narasimhaiah Achari , D V Ashok Kumar , M Vijaya Kumar
This paper proposes a new move toward to assess the performance of sensorless control of interior permanent magnet synchronous motor (IPMSM) drive along with electromagnetic noise effect by using EKF.  Normally in rotary condition, rotor position and speed estimation of IPMSM drive are drawn through an Extended Kalman Filter (EKF) algorithm by measuring its voltages and currents of the stator. The main drawback in developing EKF is it may not proficient to consider the effect of electromagnetic noise which is mainly produced during the time of different speed ranges. Owing to this reason this may cause to vary the motor flux linkages which are significant to find the rotor position and speed by EKF method will give approximate results. To carry on this process, we present the simulation results for sensorless speed control of IPMSM drive by using EKF algorithm with the incorporation of a noise signal which is corresponding to the frequency of electromagnetic noise signal using MATLAB/Simulink software. The armature current,  rotor position, and speed estimation are analyzed under this noise signal effect and the effectiveness of the EKF for sensorless control of IPMSM drive is observed.
Volume: 9
Issue: 1
Page: 157-165
Publish at: 2018-03-01

Effects of Test Level Discrimination and Difficulty on Answer-Copying Indices

10.11591/ijere.v7i1.11488
Onder Sunbul , Seha Yormaz
In this study Type I Error and the power rates of ω and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable nominal alpha levels.  The power study showed that average test difficulty was very effective for power (true detection) rates of indices. Clear patterns were observed for the increase of test difficulty in favor of both ω and GBT power rate. Contrary to expectations; average test discrimination was not as effective as average test difficulty. The results of the interaction effects of item discrimination and difficulty showed that for the cases whose b parameters were lower than 0 with weak discrimination, indices had weak power for both ω and GBT. In addition, for the cases whose b parameter levels were below zero with high discrimination indices, the power performance of both answer-copying indices were very weak. Results for test length showed that with the increase of test length the power rate of both ω and GBT tended to increase. Also, ω performed slightly better than GBT or very close to GBT for 80-item test length however, ω performed better than GBT in terms of power rate for the cases with 40-item test length
Volume: 7
Issue: 1
Page: 32-38
Publish at: 2018-03-01

Electromagnetic Radiation (EMR) of Human Body Before and After Jogging

10.11591/ijeecs.v9.i3.pp643-649
R.S. S.A.Kadir , Zunairah Hj Murat Zunairah Hj Murat , Nurul Izzati Nadiah Binti Md Suhaimi
The research is on the electromagnetic radiation of human body before and after jogging. 30 healthy students from UiTM with an age range of 23-25 years old volunteered. The seven locations of chakra points were measured. The body frequency (in MHz) is captured using frequency detector by taking the reading of the frequency 5 times at each point at the same location; hence, the average value is calculated for data analysis. This frequency measurement is recorded two times which is before and after jogging with a consistence protocol for all participants. The data in terms of frequency (Hertz) is converted into 15 colours of bio-energies representing the health level. The finding shows that 63.3% of participants’ health level improved after jogging. While 33.3% of participants had decrement in their health level. The results also indicate improvement in bio-energies score for five out of seven chakra points after jogging.
Volume: 9
Issue: 3
Page: 643-649
Publish at: 2018-03-01

Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active Filter System

10.11591/ijpeds.v9.i1.pp126-138
Purigilla Venkata Ramkumar , Munagala Surya Kalavathi
Interleaved Boost Converter (ILBC) is a better converter between Photo Voltaic(PV) source and shunt active power filter. This paper deals with comparison of time domain outputs of PI and Fractional Order PID(FOPID) controlled ILBC fed shunt active filter in a grid connected PV system. The aim of this work is to minimize current ripple using ILBC between PV system and filter to improve the dynamic performance of shunt active filter. Closed loop monitored PI and FOPID systems are modeled, and the corresponding results are presented. MATLAB results of load voltage, current, converter voltage and currents with FOPID exhibits enhanced dynamic response. The proposed FOPID controlled ILBC Fed Shunt Active Filter system (ILBCFSAF) has advantages like low settling time, less peak over shoot and reduced steady state error in load voltage. The simulation results of ILBCSAF are compared with the corresponding hardware results.
Volume: 9
Issue: 1
Page: 126-138
Publish at: 2018-03-01

Load Balance: Energy Efficient Routing Protocol in Wireless Sensor Network

10.11591/ijeecs.v9.i3.pp561-564
A. Mohamed Divan Masood , S. K. Muthusundar
Energy  consumption  is  one  of  the  major  issue  in Wireless Sensor Network  (WSN)  which reduces the lifetime of the network. In this developed work an  Cluster based Energy Efficient Routing Protocol (CBEERP) , which is  gathering the sensor hubs  in the system  into  clusters,  in this manner it productively decreased the flooding  traffic  during  discover the routing. The proposed CBEERP will balance the Energy in the Group by using some second order nodes. The reinforcement High effective hubs replace the cluster head after the cluster reaches to its threshold energy level. This CBEERP will help the effectiveness and lifetime of the system.
Volume: 9
Issue: 3
Page: 561-564
Publish at: 2018-03-01

Student Engagement and Assessment Modes: A Study

10.11591/ijere.v7i1.11342
Anil Pathak
The aim of this project is to attempt a factorial analysis of the congruence amongst three layers of assessments of Oral Presentation: Expert, Self, and Peer. Participants included graduate and undergraduate students of Asian background studying Research Writing at a technological university. The research instrument consisted of a set of assessment checklists with weighted and specified criteria for Expert, Self and Peer assessment of research presentations. Broader criteria were based on the following four factors: Use of spoken media, Use of visuals, Interrelationships, and Communicative Effect. Participants received training and were involved in a practice session on self and peer assessment before engaging in the assessment tasks. While the pilot study is unable to conclusively establish congruence among the modes of assessment, it is expected that results from a wider database would indicate the nature of well-defined assessment criteria and the ways they can be effectively communicated to assessors. The present study suggests that the differences in ratings given by peers and experts are not due to a lack of capability on the part of students, but due to lack of orientation and training. It is necessary to evolve criteria that are well-documented to enable students to evaluate their own performance as well as the performance of their peers as effectively as done by experts.
Volume: 7
Issue: 1
Page: 72-76
Publish at: 2018-03-01
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