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29,196 Article Results

Near Field Communication Based Digital Transaction Card

10.11591/ijeecs.v9.i3.pp587-590
Ravichandran Ravichandran , M. Krishnamurthy
Our paper aim is to design a reprogrammable smart payment card that replaces all other cards in the wallet assembled using an ultra-low power e-paper display, Bluetooth Communication, capacitive touch sensor and NFC. The controllers used in this project based on ARM Cortex-M architecture. The main advantage of this paper is the card will be in constant communication with the smartphone. In case if the connection was lost, after a certain time interval the card interprets it as lost or stolen and will automatically disable itself. The user can re-enable the card only by entering the authentication password on the card and from the smartphone app.
Volume: 9
Issue: 3
Page: 587-590
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

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

Performance Analysis of ANN Model for Estimation of Trophic Status Index of Lakes

10.11591/ijai.v7.i1.pp1-10
Tushar Anthwal , Akanksha Chandola , M P Thapliyal
The health of water bodies across the globe is of high concern as the pollution is accelerating rigorously. With the interventions of simple technology, some significant changes could be bought up. Lakes are dying because of high Trophic Index Status which shows the eutrophication level of water bodies. Taking this into account, feed forward back propagation neural network model is used to estimate the Trophic Status Index (TSI) of lakes which could compute the value of TSI with the given parameters; pH, temperature, dissolved oxygen, Secchi disk transparency, chlorophyll and total phosphate. Two learning algorithms; Levenberg Marquardt (LM) and Broyden–Fletcher–Goldfarb–Shanno (BFGS) Quasi Newton were used to train the network, which belongs to different classes. The results were analyzed using mean square error function and further checked for the deviation from actual data. Among both the training algorithm; LM demonstrated better performance with 0.0007 average mean square error for best validation performance and BFGS Quasi Newton shows the average mean square error of 1.07.
Volume: 7
Issue: 1
Page: 1-10
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

Internet of Things Based Weather Forecast Monitoring System

10.11591/ijeecs.v9.i3.pp555-557
Atul Kulkarni , Debajyoti Mukhopadhyay
Weather forecasting is a significant function in meteorology and has been one of the most systematically challenging troubles around the world.This scheme deals with the structure of a weather display method using small cost components so that any electronics hobbyist can construct it. As a replacement for using sensors to collect the weather data, the development gets the information from weather stations placed around the world through a global weather data supplier. Severe weather phenomena challengedifficult weather forecast approach with the partial explanation. Weather events have numerous parameters that are not possible to detail and compute. Growing on communication methods enables weather predictsspecialist systems to combine and share possessions and thus hybrid systems have emerged. Still, though these improvements on climate predict, these expert systems can’t be entirely reliable while weather forecast is central problem.
Volume: 9
Issue: 3
Page: 555-557
Publish at: 2018-03-01

Integrated Algorithm for Decreasing Active Power Loss

10.11591/ijai.v7.i1.pp33-41
Lenin Kanagasabai
This paper projects an Integrated Algorithm (IA) for solving optimal reactive power problem. Quick convergence of the Cuckoo Search (CS), the vibrant root change of the Firefly Algorithm (FA), and the incessant position modernization of the Particle Swarm Optimization (PSO) has been combined to form the Integrated Algorithm (IA).  In order to evaluate the efficiency of the proposed Integrated Algorithm (IA), it has been tested in standard IEEE 57,118 bus systems and compared to other standard reported algorithms. Simulation results show that Integrated Algorithm (IA) is considerably reduced the real power loss and voltage profile within the limits.
Volume: 7
Issue: 1
Page: 33-41
Publish at: 2018-03-01

Assessing the Crown Closure of Nypa on UAV Images using Mean-Shift Segmentation Algorithm

10.11591/ijeecs.v9.i3.pp722-730
Robert Parulian Silalahi , I Nengah Surati Jaya , Tatang Tiryana , Fairus Mulia
Utilization of very high-resolution images becomes a new trend in forest management, particularly in the detection and identification of forest stand variables. This paper describes the use of mean-shift segmentation algorithm on unmanned aerial vehicles (UAV) images to measure crown closure of nypa (Nypa fructicans) and gap. The 27 combinations of the parameter values such as spatial radius (hs), range radius (hr), and minimum region size (M). Gap detection and nypa crown closure measurements were performed using a hybrid between pixel-based (maximum likelihood classifier) and object-based approaches (segmentation).  For evaluation of the approach performance, the accuracy assessment was done by comparing object-based classification results (segmentation) and visual interpretation (ground check). The study found that the best combination of segmentation parameter was the combination of hs 10, hr 10 and M 50, with the overall accuracy of 76,6% and kappa accuracy of 55.7%.
Volume: 9
Issue: 3
Page: 722-730
Publish at: 2018-03-01

Bi-objective Scheduling with cooperating Heuristics for Embedded Real-Time Systems

10.11591/ijeecs.v9.i3.pp789-798
Sonia Sabrina Bendib , Hamoudi Kalla , Salim Kalla
This paper proposes Makespan and Reliability based approach, a static sheduling strategy for distributed real time embedded systems that aims to optimize the Makespan and the reliability of an application. This scheduling problem is NP-hard and we rely on a heuristic algorithm to obtain efficiently approximate solutions. Two contributions have to be outlined: First, a hierarchical cooperation between heuristics ensuring to treat alternatively the objectives and second, an Adapatation Module allowing to improve solution exploration by extending the search space. It results a set of compromising solutions offering the designer the possibility to make choices in line with his (her) needs. The method was tested and experimental results are provided
Volume: 9
Issue: 3
Page: 789-798
Publish at: 2018-03-01
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