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27,404 Article Results

Wall-E Surveyor Robot using Wireless Networks

10.11591/ijra.v4i2.pp143-149
Aatish Chandak , Arjun Aravind , Nithin Kamath
The methods for autonomous navigation of a robot in a real world environment is an area of interest for current researchers. Although there have been a variety of models developed, there are problems with regards to the integration of sensors for navigation in an outdoor environment like moving obstacles, sensor and component accuracy. This paper details an attempt to develop an autonomous robot prototype using only ultrasonic sensors for sensing the environment and GPS/ GSM and a digital compass for position and localization. An algorithm for the navigation based on reactive behaviour is presented. Once the robot has navigated to its final location based on remote access by the owner, it surveys the geographical region and uploads the real time images to the owner using an API that is developed for the Raspberry PI’s kernel.
Volume: 4
Issue: 2
Page: 143-149
Publish at: 2015-06-01

Nutritional Status and Age at Menarche on Female Students of Junior High School

10.11591/ijere.v4i2.4494
Rihul Husnul Juliyatmi , Lina Handayani
Menarche is the first menstrual period in the middle of puberty. There are many factors that affect the age of menarche include nutritional status, genetic, environmental conditions, socioeconomic status, and education. The purpose of this research is to determine the relationship between nutritional status and age of menarche on female student of junior high school Ali Maksum Krapyak, Bantul, Yogyakarta. The research employed a cross sectional research design. The number of this sample was 81 female students that determined by total sampling. The statistical test used was Chi Square. The results of this research showed that there was a relationship between nutritional status and the age of menarche on female student of junior high school Ali Maksum Krapyak, Bantul, Yogyakarta (p value = 0.002) and the ratio prevalence was 3.077 (95% CI = 1.675 – 5.650); it means that respondents who have abnormal nutritional status get 3.007 times greater chance of experiencing abnormal menarche than respondents who have normal nutritional status.
Volume: 4
Issue: 2
Page: 71-75
Publish at: 2015-06-01

Modeling and Simulation of Triple Coupled Cantilever Sensor for Mass Sensing Applications

10.11591/ijece.v5i3.pp403-408
Nalluri Siddaiah , D.V. Rama Koti Reddy , Y. Bhavani Sankar , R. Anil Kumar , Hossein Pakdast
Cantilever sensors have been the growing attention in last decades and their use as a mass detector. This work presents design, modeling and analysis of Triple coupled cantilever(TCC) sensor using MEMS simulation software Comsol Multiphysics with critical  dimensions of 100μm length,20μm width and 2μm thickness. Simulations were performed based on finite element modeling techniques, where different resonant frequencies were observed for different modes of operation. It is also observed that the resonant frequency of the sensor decreases as some mass is applied on one particular cantilever. The various parameters greatly affecting the performance of TCC such as resonant frequency, dimensions, material and pressure or force applied on it.we also observed that while adding some mass on any one lateral cantilever, the resonant frequency of that respective mode reduced.
Volume: 5
Issue: 3
Page: 403-408
Publish at: 2015-06-01

Blind Signal Processing Algorithmsbased based on Recursive Gradient Estimation

10.11591/ijece.v5i3.pp548-561
Namyong Kim , Mingoo Kang
Blind algorithms based on the Euclidean distance (ED) between the output distribution function and a set of Dirac delta functions have a heavy computational burden of  due to some double summation operations for the sample size and symbol points. In this paper, a recursive approach to the estimation of the ED and its gradient is proposed to reduce the computational complexity for efficient implementation of the algorithm. The ED of the algorithm is comprised of information potentials (IPs), and the IPs at the next iteration can be calculated recursively based on the currently obtained IPs. Utilizing the recursively estimated IPs, the next step gradient for the weight update of the algorithm can be estimated recursively with the present gradient. With this recursive approach, the computational complexity of gradient calculation has only . The simulation results show that the proposed gradient estimation method holds significantly reduced computational complexity keeping the same performance as the block processing method
Volume: 5
Issue: 3
Page: 548-561
Publish at: 2015-06-01

The Adaptive Federal Unscented Particle Filter Algorithm with Applications in All-Attitude Integrated BDS/INS Navigation System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1507
Ping Luo , Li-jie Yuan , Liang-xue Huang , Xian-fei Li
In order to improve the attitude accuracy, the thesis establishes the all-attitude integrated BDS/INS navigation nonlinear system model based on the position, velocity, attitude by adding the BDS’s attitude measurement information into the measurement equation of the traditional BDS/INS integrated navigation nonlinear system model. Considering the problem that the dynamic navigation system model is difficult to accurately describe the complex navigation environment, the thesis improves the dynamic characteristics of the information distribution of the federal filter algorithm which could timely change based on the eigenvalues ratio of each subsystem’s error variance matrix. Then, the adaptive federal unscented particle filter (AFUPF) is proposed. The simulation shows that the proposed algorithm could effectively weaken the impact on the system accuracy of the inaccurate high-dynamic model, and improve the adaptability, the fault tolerance and the accuracy, especially the attitude accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.8069
Volume: 14
Issue: 3
Page: 543-556
Publish at: 2015-06-01

Logixpro Based Scada Simlations Model for Packaging System in Dry ICE Plant

10.11591/ijece.v5i3.pp443-453
Prashu Jain , K. Nithiyananthan , Raghuraman Raghuraman , Gowrishankar Kasilingam
Supervisory Control and Data Acquisition (SCADA) systems control and monitor industrial and critical infrastructure functions, such as electricity, gas, water, waste, railway, and traffic. The main objective of this work is to develop SCADA simulation model for packaging system in dry ice plant. Dry ice is an important refrigerant for keeping foods cold and preventing bacterial growth during shipment. Dry ice used for cooling or freezing foods must be very clean and considered food grade to ensure that food it may touch will not be contaminated. Some recent developments for its use include using the pellets in blasting or cleaning and its increasing use in transporting medical specimens, including hearts, limbs, and tissues, for reattachment and transplantation. The manufacturing process of dry ice has not changed significantly in many decades and is a relatively simple process of pressurizing and cooling gaseous carbon dioxide. But because of its growing demand, packaging becomes vital. An attempt has been made to develop and automate LOGIXPRO based SCADA simulations for dry ice plant to improve packaging and extensively reduce operating labor costs.
Volume: 5
Issue: 3
Page: 443-453
Publish at: 2015-06-01

Probabilistic Road-Aware Geocast In VANETs

10.11591/ijece.v5i3.pp599-610
Zubair Amjad , Wang-Cheol Song
Geocast is a communication technique to disseminate information in specific geographic regions instead of node addresses. Traffic congestion, accidents, local hazards and digital content sharing are potential use cases of information sharing in VANETs. Recently, several approaches for geocast routing have been proposed to achieve high delivery ratios. These approaches consider a center point and radius to define the destination region also called geocast region. They focus only on routing scheme to enhance the delivery ratio and delays. However, these approaches do not consider the target region selection problem in the geocast routing. In this paper, we propose a novel application-level mechanism for sharing road conditions, such as accidents, detours and congestion in VANETs through probabilistic road-aware geocast routing. We assign probabilities to the roads around each intersection in the neighborhood road network of the source vehicle. We then build a spanning tree of roads (from graph representation of the road network) with information source as the root node. Nodes below the root represent junctions and edges represent inter-connecting road segments. Messages propagate along the branches of the spanning tree. The spanning tree represents the geocast region. As the information propagates down the branches, probability of road as geocast region decreases. Information is propagated until a threshold probability is reached. Our method also ensures that messages are not delivered to irrelevant vehicles irrespective of their proximity to the source. We evaluate our application through extensive and realistic simulations in ns-3 simulator using IDM car following and MOBIL lane change models for realistic modeling of vehicle mobility.
Volume: 5
Issue: 3
Page: 599-610
Publish at: 2015-06-01

Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1498
Sathishkumar Shanmugam , Meenakumari Ramachandran
For the past two decades, Brushless DC motor has become more efficient and robust motor in industrial applications due to their simplicity in structure, reliability, good mechanical properties. The absence of brushes features these motors similar to AC motors whereas their speed performance is nearly equal to that of the DC motors. Thus the combined advantages of AC and DC motors make these motors more efficient in various applications. The design was based on the output equation similar to that of conventional dc machines. This generates high-resolution PWM outputs, used to control the switching pattern of the BLDC Inverter. By varying the PWM signal produced from the microcontroller, the speed of the motor can be varied. The Hall Effect sensing unit gives information about the rotor position and based on this rotor information, switching sequence of the MOSFET is decided. The firing pulses to the gate of the MOSFET are given by the Control Signal Generation Module. Based on the developed model simulation studies are performed in Matlab/Simulink environment and hardware implementation of BLDCM drive using Lead acid battery as source With Lithium ion capacitor   system is done and  results were analysed  using Digital Scope Oscilloscope (DSO) and output Carried Out Sucessfully.  DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7938
Volume: 14
Issue: 3
Page: 455-469
Publish at: 2015-06-01

Design of Interior Daylighting Shading Control using LV and PVsyst Software

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1490
Nibedita Das , Nitai Pal , Pradip Kumar Sadhu
Vitality proficient, expense sparing inhabitance, planning and more regularity control the passive shading of interior lighting, a creative reasonable configuration methodology of rooftop solar PV module  structure outline is presented here. This  paper is  centered to build up  the utilization of inactive sun oriented shading systems  for  sunshine inside lighting to create a high visual level by considering  different  parameters, for example,  establishment, site determination, and execution checking of the sun based  PV framework utilizing worldwide radiation, temperature, mugginess, precipitation, days with precipitation, and course, daylighting span to focus the utilization and materialness of such frameworks in the Kolkotta  areas in India. This paper is delineated specialized, savvy, shading movement module misfortune and sparing of non-risky gas and green perspectives, alongside execution enlightenment of LED installation with their lifespan utilizing Lithonia Visual software (LV) and photovoltaic (PVsyst) software. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7885 
Volume: 14
Issue: 3
Page: 388-401
Publish at: 2015-06-01

Refined Clustering of Software Components by Using K-Mean and Neural Network

10.11591/ijai.v4.i2.pp62-71
Indu Verma , Amarjeet Kaur , Iqbaldeep Kaur
Data Mining is extraction of relevant information about data set. A data-warehouse is a location where information is stored. There are various services of data mining, clustering is one of them. Clustering is an effort to group similar data onto single cluster. In this paper we propose and implement k-mean and neural network for clustering same components in single cluster. Clustering reduces the search space by grouping similar test cases together according to the requirements and, hence minimizing the search time, for the retrieval of the test cases, resulting in reduced time complexity. In this research paper we proposed approach for re-usability of test cases by unsupervised approach and supervised approach. In unsupervised learning we proposed k-mean and in supervised learning neural network. We have designed the algorithm for requirement and test case document clustering according to its tf-idf vector space and the output is set of highly cohesive pattern groups.
Volume: 4
Issue: 2
Page: 62-71
Publish at: 2015-06-01

An Advanced High Performance Maximum Power Point Tracking Method with Ant Colony and Particle Swarm Optimization Method Using Interleaved Boost Converter

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1488
Nivetha V , G. Vijaya Gowri , Elamathy A
To obtain efficient maximum power point tracking operation under varying and steady state environmental conditions which is based on Ant Colony Optimization (ACO) combined with Particle Swarm Optimization (PSO) that controls an interleaved DC-DC converter connected at the output of PV array and maintains a constant input-power load. The operation of maximum power point tracking is to adjust the power interfaces so that the operating characteristics of the load and the photovoltaic array match at the maximum power points. The simulation is based on the computed algorithms which show very good perspectives. The searching routine is done in less than 15 steps and takes less than 50ms. The tracking accuracy is better than those found in conventional methods. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7900
Volume: 14
Issue: 3
Page: 376-380
Publish at: 2015-06-01

An Introduction to Journal Phishings and Their Detection Approach

10.12928/telkomnika.v13i2.1436
Mehdi; Foulad Institute of Technology Foulad shahr Dadkhah , Tole; Universitas Ahmad Dahlan Sutikno , Mohammad; Foulad Institute of Technology Foulad shahr Davarpanah Jazi , Deris; Universitas Sriwijaya Stiawan
Nowadays, the most important risk and challenge in online system are online scam and phishing attacks. Phishing attacks have been always used to steal important information of users. In this kind of scam, attacker direct victim to fake pages using social engineering techniques, then, starts stealing users` important information such as passwords. In order to confronting these attacks, numerous techniques have been invented which have the ability to confront different kinds of these attacks. Our goal in this paper is to introducing new kind of phishing attacks which are not identifiable by techniques and methods which have been invented to confronting phishing attacks. Unlike other kinds of phishing attacks which target all kinds of users, researchers are the victims of these kinds of journal phishing attacks. Finally, we`ll introduce an approach based on classification algorithms to identify these kind of journal phishing attacks and then we`ll check our suggested approach in error rate.
Volume: 13
Issue: 2
Page: 373-380
Publish at: 2015-06-01

A Weighted Evidence Combination Method Based on Improved Conflict Measure Factor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1505
Xiaochen Xing , Yuanwen Cai , Zhengyu Zhao , Long Cheng , Yan Li
D-S evidence theory is usually used for the fusion of multi-source information. But the fusion result is always against with general knowledge for the heavy conflict of evidence. Research on combination of conflict evidence at home and abroad is summarized and analyzed in detail. On the base of this, the conclusion that modified evidence combination method of conflict evidence is more useful can be dawn. Effective evidence conflict measure is the first step of conflict evidence combination. The existing conflict measure methods are summarized and the main problem of those methods is analyzed in detail. Based on previous research of conflict evidence combination, a modified measure factor of evidence conflict which is called Mconf is put forward. Mconf is mainly built up with modified distance of evidence named mdBPA and traditional evidence conflict factor named k. The examples in this paper show that Mconf can measure the evidence conflict correctly, both for general evidence and conflict evidence. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7850
Volume: 14
Issue: 3
Page: 525-533
Publish at: 2015-06-01

A Power Factor Corrected Bridgeless Type III Cuk Derived Converter fed BLDC Motor Drive

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1493
J. Pearly Catherine , R. Balamurugan
This paper deals with the power factor correction in BLDC motor drive with different cuk derived converter topologies and the best one is simulated for power factor correction operation. Power quality issues is the major concern in the BLDC motor drive due to recommended limits of harmonics in the supply current. Conventionally the BLDC motors are powered with the help of diode bridge rectifiers which results in highly distorted supply current and poor power factor. So modification in converter topology is the research hotspot in recent years. Alternatively bridgeless converter topologies are used in place of diode bridge rectifiers (DBR). Among the bridgeless topologies cuk derived converters suited well for power factor correction. In this paper the different cuk topologies are investigated and the best one is simulated with the help of neuro-fuzzy controller in MATLAB/Simulink platform.DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7893
Volume: 14
Issue: 3
Page: 420-427
Publish at: 2015-06-01

Artificial Optimal Fuzzy Control Strategy for Elevator Drive System by Using Permanent Magnet Synchronous Motor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1499
Salam Waley Shneen , Chengxiong Mao
There are many power electronic converters and motor drives connected together to form the electrical system of an elevator. In this paper, we have presented a modeling tool that has the advantages of utilizing capabilities of the PMSM software in detailed simulations of converters, motor drives, and electric machines. In addition, equivalent electrical models of Elevator drive system. This paper also gives a brief idea of PMSM validity as an elevator simulation tool. PMSM drive system is described and analyzed due to its importance in many applications especially in elevator applications. applications due to their high efficiency, low inertia and high torque to volume ratio. A closed loop control system with a PI control,Fuzzy, PSO in the speed loop with current controllers .The simulation circuits for PMSM, inverter, speed and current controllers include all realistic components of the drive system. Simulation results for SPWM control schemes associated with current controllers are given for two speeds, one below rated and another above rated speed. in this paper and it has been shown that the model is suitable for transient as well as steady state condition. These results also confirmed that the transient torque and current never exceed the maximum permissible value. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7952
Volume: 14
Issue: 3
Page: 470-480
Publish at: 2015-06-01
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