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27,544 Article Results

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

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

Effect of Integrated Feedback on Classroom Climate of Secondary School Teachers

10.11591/ijere.v7i1.11146
Nilesh Kumar Patel
This study aimed at finding out the effect of Integrated feedback on Classroom climate of secondary school teachers. This research is experimental in nature. Non-equivalent control group design suggested by Stanley and Campbell (1963) was used for the experiment. Integrated feedback was treatment and independent variable, Classroom climate was dependent variable and pre- Classroom climate, and Intelligence were considered as covariates. The sample of the study comprised of 77 secondary school teachers and 220 students studying in secondary classes from purposively selected four schools of Indore city. The data for Classroom climate, Job satisfaction and Intelligence were collected through standardized tools. One-way ANCOVA and 2X2 factorial design ANCOVA were used for data analysis. Hypotheses were tasted at level of significance with α = 0.05. It was found that the treatment has significant effect over Classroom climate when pre- Classroom climate was taken as covariate. The results also shown that Classroom climate was independent of the treatment when Intelligence and pre- Classroom climate were separately considered as covariates. In addition, classroom climate was also found independent of interaction between feedback and intelligence when pre – Classroom climate was taken as covariate.
Volume: 7
Issue: 1
Page: 65-71
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

Attitudes of Pre-Service Music Teachers towards Value Education in Turkey

10.11591/ijere.v7i1.10980
Ozgur Egilmez , Hatice Onuray Egilmez , Doruk Engur
In the music education curriculum, which is implemented from 2017-2018 academic year, the directive for teaching values was prepared for the first time. In this context, the research was conducted by comparing the attitudes of pre-service music teachers towards values education in terms of some variables, which will be included in the courses of value education according to the new music education curriculum. Data collected using the values education attitude scale were analysed using t-test, Kruskal-Wallis H test, and Spearman's correlation coefficient. Results showed that attitude scores did not change according to gender or level of parents’ education but had a significant difference according to the year students were in. Scale scores were not correlated with the amount of parents' income or students’ GPAs. This study is crucial as it tries to determine the attitudes of pre-service music teachers who are assigned as music teachers in a few years and will conduct music lessons according to the Ministry of National Education music curriculum. Moreover, it aims to shed light on the determination of targets for values education in the training of pre-service music teachers in the institutions that train music teachers with the help of the results that this study offers.
Volume: 7
Issue: 1
Page: 11-16
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

Architecting Virality: Information Sharing from Government FB Page to Netizens

10.11591/ijeecs.v9.i3.pp660-666
Afdallyna Fathiyah Harun , Siti Nuradzarul Aqmaar Adzman , Fauzi Mohd Saman , Saiful Izwan Suliman
In accordance with e-government initiatives, many ministries in Malaysia have engaged content to public using social media for better two-way communications. However, creating an online presence is not necessarily easy as digital content consumers are often bombarded with information and those that fail to capture information will be rendered uninteresting and irrelevant. This is imperative as for most part, users are in control of where they allocate attention and what they share. Using virality as a context, it is opined that information content that are well-designed will trigger specific information and propel the sharing of that information over the Internet. A study employing FB post categorization and sharing motivations survey was carried out in the context of Ministry of Health Malaysia Facebook page. The findings show that users are inclined towards Infographics with various sharing motivations. The results can be used by Malaysian ministries on how best to design and disseminate information for the benefit of the netizens on social media sites.
Volume: 9
Issue: 3
Page: 660-666
Publish at: 2018-03-01

Effort of NGO in Promoting Comprehensive Sexuality Education to Improve Quality of Life among Local and Refugee Communities

10.11591/ijere.v7i1.11237
Yeo Kee Jiar , Shih Hui Lee , Lina Handayani
Federation of Reproductive Health Association, Malaysia (FRHAM) is a pioneer Non-governmental Organization (NGO) in disseminating the knowledge and services of sexual reproductive health in Malaysia. A qualitative case study research design was employed to explore the roles of FRHAM in promoting Comprehensive Sexuality Education (CSE) for the well-being of locals and refugees’ communities. In-depth interviews were conducted with the staffs of FRHAM to inquire about their effort in delivering their services. The interviews were recorded, transcribed, coded and emergent themes were identified. FRHAM had played a part as educator, service provider, advocate and actively involved in improving the quality of life among the refugee community. The organization had developed modules for CSE and conducted programs for dissemination of knowledge. They also collaborated with local governmental agencies and other NGOs to promote awareness and utilization of services among the communities. Nevertheless, promoting CSE had experienced many challenges in Malaysia. The perceptions of Malaysian viewing sexuality education as taboos, cultural factors, the reluctance of educators in delivering, and the low visibility of FRHAM are the barriers encountered by FRHAM in promoting CSE. FRHAM recommended including parents, teachers and other stakeholders in the promotion of CSE and acknowledging CSE as an official subject to be implemented in schools.  The information from this study may encourage more partnerships between the stakeholders, policy makers and NGOs for providing high quality CSE and sexual reproductive health services.
Volume: 7
Issue: 1
Page: 17-24
Publish at: 2018-03-01

Search Engine-inspired Ranking Algorithm for Trading Networks

10.11591/ijeecs.v9.i3.pp812-818
Andri Mirzal
Ranking algorithms based on link structure of the network are well-known methods in web search engines to improve the quality of the searches. The most famous ones are PageRank and HITS. PageRank uses probability of random surfers to visit a page as the score of that page, and HITS instead of produces one score, proposes using two scores, authority and hub scores, where the authority scores describe the degree of popularity of pages and hub scores describe the quality of hyperlinks on pages. In this paper, we show the differences between WWW network and trading network, and use these differences to create a ranking algorithm for trading networks. We test our proposed method with international trading data from United Nations. The similarity measures between vectors of proposed algorithm and vector of standard measure give promising results.
Volume: 9
Issue: 3
Page: 812-818
Publish at: 2018-03-01
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