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29,922 Article Results

A Survey on Graph Database Management Techniques for Huge Unstructured Data

10.11591/ijece.v8i2.pp1140-1149
Patil N. S. , Kiran P , Kiran N. P. , Naresh Patel K. M.
Data analysis, data management, and big data play a major role in both social and business perspective, in the last decade. Nowadays, the graph database is the hottest and trending research topic. A graph database is preferred to deal with the dynamic and complex relationships in connected data and offer better results. Every data element is represented as a node. For example, in social media site, a person is represented as a node, and its properties name, age, likes, and dislikes, etc and the nodes are connected with the relationships via edges. Use of graph database is expected to be beneficial in business, and social networking sites that generate huge unstructured data as that Big Data requires proper and efficient computational techniques to handle with. This paper reviews the existing graph data computational techniques and the research work, to offer the future research line up in graph database management.
Volume: 8
Issue: 2
Page: 1140-1149
Publish at: 2018-04-01

A Status Data Transmitting System for Vessel Monitoring

10.11591/ijece.v8i2.pp917-925
The Anh Nguyen Dinh , Huy Le Xuan , Tuan Anh Vu , Duong Bach Gia
This paper presents a status data transmitting system suitable for vessel monitoring. The system consists of four main parts, which are a status data module, a frequency synthesizer, a power amplifier and a horn antenna. The status data module packs information of the identification, longitude, latitude and state of the vessel into data frames. FSK/MSK/GMSK schemes were used to modulate the data. The frequency synthesizer was designed with very high stability over temperature and very low frequency tolerance. The power amplifier provides 130 W output power at S band. The impedance bandwidth of the horn antenna can be controlled using the beveling technique.
Volume: 8
Issue: 2
Page: 917-925
Publish at: 2018-04-01

Design and Implementation Multimedia Learning Success for Vocational Schools

10.11591/ijece.v8i2.pp1067-1073
Fitro Nur Hakim , Achmad Solechan
This research aims to design a web-based multimedia applications, interactive learning, in order to improve the learning outcomes of students, especially students of Vocational High School. Multimedia Learning has been designed with some additional content in the form of applications: decision support system for multimedia usage based on Model of Multimedia Learning Success. The population obtained from respondents vocational school in Central Java, which is already implementing multimedia learning. The method used is qualitative analysis in the form of: the development of multimedia learning integrated with decision support systems. Design and implementation of multimedia learning success system that is abbreviated "Sikemuning". Sikemuning can be used to measure or provide guidance for teachers in the use of multimedia. Interviews with several respondents teachers from vocational schools in Central Java showed that: the system success multimedia learning developed in this study can be used as feedback to assess the success and effectiveness of the implementation of learning activities, multimedia learning can improve the performance and intelligence of vocational school students.
Volume: 8
Issue: 2
Page: 1067-1073
Publish at: 2018-04-01

Performance Enhancement in Active Power Filter (APF) by FPGA Implementation

10.11591/ijece.v8i2.pp689-698
Shamala N , C. Lakshminarayana
The generated electrical power in present days is not able to meet its end-user requirement as power demand is gradually increasing and expected to be increasing more in future days. In the power quality management, the parameters/factors like harmonic currents (HC) and reactive power (RP) yields the major issues in the power distribution units causing transformer heating, line losses, and machine vibration. To overcome these issues, several control mechanisms have been presented and implemented in recent past. The control algorithm based on synchronous reference frame (SRF) offers a better response by dividing the HC and RP. But the SRF based control algorithm requires better synchronization among the utility voltage and input current. To achieve this, the existing researches have used digital signal processing (DSP) and microcontroller, but these systems fail to provide better performance as they face issues like limited sampling time, less accuracy, and high computational complexity. Thus, to enhance the performance of active power filter (APF), we present an FPGA based approach. Also, to validate the performance of the proposed approach, we have used Xilinx 14.7 and Modelsim (6.3f) simulator and compared with other previous work. From the results analysis, it is found that the approach has good performance.
Volume: 8
Issue: 2
Page: 689-698
Publish at: 2018-04-01

Face Recognition in the Scrambled Domain Using MK-RDA and ANN

10.11591/ijict.v7i1.pp16-23
Kavita Kadam , C.R Jadhav
Facial look identity is a vital mission by means of human-interacting structures that goal to be aware of versions within the human’s emotional state. the principle challenge or the crucial part in surveillance society is the privacy-shielding era. because the rapid improvement in the internet international it turns into very essential to scramble the pics in the video or files for the duration of transmission. in this the biometric identity of photographs or faces from scrambled pictures plays a completely tough mission. Numbers of various technology are carried out to provide privateness for the duration of surveillance or during transmission of video however they're lack of essential traits, like reversibility or visible fine maintenance. in lots of scrambling methods the faces are covered by a few animation which may additionally or may not cover all faces or it receives hard to recover pics from this technique. Many guide method also are us used by which we will unscramble an photo but they are no longer powerful that a good deal. to overcome all this matters we proposed a novel approach- Many-Kernel Random Discriminate analysis (MK-RDA) to find out discriminative patterns from chaotic indicators. structures get better accuracy bring about best photos. To PIE and ORL datasets has getting above ninety% accuracy.
Volume: 7
Issue: 1
Page: 16-23
Publish at: 2018-04-01

Analysis of Inductance Gradient and Current Density Distribution Over Different Cross-section of Rails

10.11591/ijece.v8i2.pp723-729
M. N. Saravana Kumar , R. Murugan
In a rail gun system the armature accelerated due to the Lorentz force caused by the current which is diffused in to the rails. The entire system depends on the inductance gradient of the rail which is directly connected to the accelerating performance and efficiency of railgun. Hence, the exact analysis of inductance gradient is extremely significant for the railgun design. Since short duration of current pulse is applied to the rails determination of inductance gradient is very difficult. The inductance gradient varies with the geometric dimensions of the rails and armature. And it can be calculated with analytical method and numerical methods. In this paper inductance gradient of the rail has been computed and compared with the different rail cross-sectional models using Ansoft Maxwell Eddy current solver uses finite element technique to calculate the field distribution in a space. The current density, magnetic flux density, repulsive force acting on the rails also computed to analyze the performance of rail gun.
Volume: 8
Issue: 2
Page: 723-729
Publish at: 2018-04-01

Granular Mobility-Factor Analysis Framework for enriching Occupancy Sensing with Doppler Radar

10.11591/ijece.v8i2.pp979-988
Preethi K. Mane , K. Narasimha Rao
With the growing need for adoption of smarter resource control system in existing infrastructure, the proliferation of occupancy sensing is slowly increasing its pace. After reviewing an existing system, we find that utilization of Doppler radar is less progressive in enhancing the accuracy of occupancy sensing operation. Therefore, we introduce a novel analytical model that is meant for incorporating granularity in tracing the psychological periodic characteristic of an object by emphasizing on the mobility and uncertainty movement of an object in the monitoring area. Hence, the model is more emphasized on identifying the rate of change in any periodic physiological characteristic of an object with the aid of mathematical modelling. At the same time, the model extracts certain traits of frequency shift and directionality for better tracking of the unidentified object behavior where its applicabilibility can be generalized in majority of the fields related to object detection.
Volume: 8
Issue: 2
Page: 979-988
Publish at: 2018-04-01

Notice of Retraction Digital Image Steganography Using Bit Flipping

10.11591/ijict.v7i1.pp1-7
Aditya Kumar Sahu , Gandharba Swain
Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------This article proposes bit flipping method to conceal secret data in the original image. Here a section consists of 2 pixels and there by flipping one or two LSBs of the pixels to hide secret information in it. It exists in 2 variants. The variant-1 and variant-2 both use 7th and 8th bit to conceal the secret data. Variant-1 hides 3 bits per a pair of pixels and the variant-2 hides 4 bits per a pair of pixels. Our proposed method notably raises the capacity as well as bits per pixel that can be hidden in the image compared to existing bit flipping method. The image steganographic parameters such as, peak signal to noise ratio (PSNR), hiding capacity, and the quality index of the proposed techniques has been compared with the existing bit flipping technique
Volume: 7
Issue: 1
Page: 1-7
Publish at: 2018-04-01

Classification of Leaf Disease from Image Processing Technique

10.11591/ijeecs.v10.i1.pp191-200
Mahanijah Md Kamal , Ahmad Nor Ikhwan Masazhar , Farah Abdul Rahman
Disease in palm oil sector is one of the major concerns because it affects the production and economy losses to Malaysia. Diseases appear as spots on the leaf and if not treated on time, cause the growth of the palm oil tree. This work presents the use of digital image processing technique for classification oil palm leaf disease sympthoms. Chimaera and Anthracnose is the most common symtoms infected the oil palm leaf in nursery stage. Here, support vector machine (SVM) acts as a classifier where there are four stages involved. The stages are image acquisition, image enhancement, clustering and classification. The classification shows that SVM achieves accuracy of 97% for Chimaera and 95% for Anthracnose.
Volume: 10
Issue: 1
Page: 191-200
Publish at: 2018-04-01

Design and Fabrication of an Intelligent Walking Staff for Visually Impaired Subjects

10.11591/ijeecs.v10.i1.pp266-270
Rashidah Funke Olanrewaju , Muhammad Luqman Azzaki Mohd Radzi , Mariam Rehab , Fawwaz Eniola Fajingbesi
The joy we derive from our ability to commute and interact freely with the world as a result of our possession of sight with the naked eyes are enormous however the Visually impaired people find great difficulty in moving around freely without a human guide, especially in a new terrain. This research reports the design and fabrication process of an intelligent walking staff (iWalk) specially designed for the visually disabled individuals to argument their loss of sight, improve and ease their navigation. iWalk was designed around water and ultrasonic sensors to detect obstacles and water ahead. iWalk also has a wireless RF remote control buzzer for localization and detection in case it gets misplaced. The proposed system operability and efficiency was adequately tested using physical dataset composed of randomized locations with random obstacles and water. The proposed algorithm achieves an overall efficiency of 90% detection rate for water and ultrasonic sensor and 85.75% for the RF wireless remote control.
Volume: 10
Issue: 1
Page: 266-270
Publish at: 2018-04-01

Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques

10.11591/ijece.v8i2.pp730-740
D. Chinnakullay Reddy , S. Satyanarayana , V. Ganesh
DC Microgrid is one feasible and effective solution to integrate renewable energy sources as well as to supply electricity. This paper proposes a DC microgrid with enhanced Maximum Power Point Tracking (MPPT) techniques for wind and solar energy systems. In this paper, the PV system power generation is enhanced by introducing a two-model MPPT technique that combines incremental conductance and constant voltage MPPT algorithms. Also, for the Wind Energy Conversion System (WECS) with pitch angle controlling technique, an Optimal Power Control MPPT technique is added. The Space Vector Pulse Width Modulation technique is introduced on grid side converter to improve the supply to the grid. The performance of proposed system is analyzed and the efficiency obtained with these methods is enhanced as compared with the previous methods.
Volume: 8
Issue: 2
Page: 730-740
Publish at: 2018-04-01

Information Hiding using LSB Technique based on Developed PSO Algorithm

10.11591/ijece.v8i2.pp1156-1168
Wisam Abed Shukur , Khalid Kadhim Jabbar
Generally, The sending process of secret information via the transmission channel or any carrier medium is not secured. For this reason, the techniques of information hiding are needed. Therefore, steganography must take place before transmission. To embed a secret message at optimal positions of the cover image under spatial domain, using the developed particle swarm optimization algorithm (Dev.-PSO) to do that purpose in this paper based on Least Significant Bits (LSB) using LSB substitution. The main aim of (Dev. -PSO) algorithm is determining an optimal paths to reach a required goals in the specified search space based on disposal of them, using (Dev.-PSO) algorithm produces the paths of a required goals with most efficient and speed. An agents population is used in determining process of a required goals at search space for solving of problem. The (Dev.-PSO) algorithm is applied to different images; the number of an image which used in the experiments in this paper is three. For all used images, the Peak Signal to Noise Ratio (PSNR) value is computed. Finally, the PSNR value of the stego-A that obtained from blue sub-band colo is equal (44.87) dB, while the stego-B is equal (44.45) dB, and the PSNR value for the stego-C is (43.97)dB, while the vlue of MSE that obtained from the same color sub-bans is (0.00989), stego-B equal to (0.01869), and stego-C is (0.02041). Furthermore, our proposed method has ability to survive the quality for the stego image befor and after hiding stage or under intended attack that used in the existing paper such as Gaussian noise, and salt & pepper noise.
Volume: 8
Issue: 2
Page: 1156-1168
Publish at: 2018-04-01

Low-Power D-Band CMOS Amplifier for Ultrahigh-Speed Wireless Communications

10.11591/ijece.v8i2.pp933-938
Tuan Anh Vu , Kyoya Takano , Minoru Fujishima
This paper presents a low-power D-Band amplifier suitable for ultrahigh-speed wireless communications. The three-stage fully differential amplifier with capacitive neutralization is fabricated in 40 nm CMOS provided by TSMC. Measurement results show that the D-band amplifier obtains a peak gain of 9.6 dB over a -3 dB bandwidth from 138 GHz to 164.5 GHz. It exhibits an output 1 dB compression point (OP1dB) of 1.5 dbm at the center frequency of 150 GHz. The amplifier consumes a low power of 27.3 mW from a 0.7 V supply voltage while its core occupies a chip area of 0.06 mm2.
Volume: 8
Issue: 2
Page: 933-938
Publish at: 2018-04-01

Analytic Estimation of Two-Dimensional Electron Gas Density and Current-Voltage Characteristic in AlGaN/GaN HEMT’s

10.11591/ijece.v8i2.pp954-962
Asmae Babaya , Bri Seddik , Saadi Adil
This paper is mainly dedicated to understand the phenomena governing the formation of two-dimensional electron gas (2DEG) confined in the quantum well which hold the role of the channel in the high electron density transistors (HEMT) based on AlGaN / GaN heterojunction. The theory takes into account: the crystal structure, the spontaneous and piezoelectric polarization concept, the formation mechanism of two-dimensional electron gas at the AlGaN / GaN interface, the approximate resolution of the Poisson and Schrödinger equations to determine the density of Two-dimensional electron gas after the analytical formula of the current-voltage characteristic is established. Our study is also concerned with the dependence of the two-dimensional electron gas density on the following technological parameters: Aluminum molare fraction, AlGaN layer thickness and AlGaN layer doping, In order to control the influence of these parameters on the device performance. Finally, the current-voltage characteristic which reflects the variation of the drain-source current as a function of the modulation of the gate voltage has been discussed.
Volume: 8
Issue: 2
Page: 954-962
Publish at: 2018-04-01

From Agasa Cristie to Group Image Play-Analysis of Horror Survival Game Panic Room : Escaping from the Den on Emotional Elements Development

10.11591/ijece.v8i2.pp644-650
Doo Heon Song , Hae Kyung Rhee , Ji-eun Kim , Jong Hee Lee
A maniac computer game genre called "Survival Horror Games‟ is aimed for making gamers feel cathartic feeling when they escaped from the designed horror successfully. The degree of gaming quality, however, is not easy to measure. In this paper, we apply Caillois‟ game playing categories and other standards to measure how a game induces the feeling of fear and other emotional experience to players. Once dominated horror survival game series called Panic Room: Escaping from the Den was chosen to analyze and evaluate with those standards as well as its narratives and subsystems. Especially the 2nd version was most welcomed to users among 4 versions thus we focused on the difference between the version 1 and the version 2 in terms of game playing and fear elements in the game content and story structure. In result, version 2 showed much more Agon and Mimicry and all other fear elements than version 1. The group image playing structure and conference/collection subsystem that were newly provided to version 2 were attributed to its success.
Volume: 8
Issue: 2
Page: 644-650
Publish at: 2018-04-01
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