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31,456 Article Results

A cost-effective 2-tier security paradigm to safeguard cloud data with faster authentication

10.11591/ijece.v9i5.pp3833-3842
Veena R.S , Ramachandra V. Pujeri , Indiramma M
The recent technological advancement has taken cloud computing (CC) infrastructure to a significant level where the increasing level of research interest laid upon cost-effective storage management.  Owing to the potential distributed and pervasive storage facility, it lacks efficiency towards fully preserving the integrity of user data attributes. Thereby, the collaborative sharing of user data leads to a situation which opens up various forms of security loop-holes. In the past various forms of security protocols are witnessed which have attempted to solve this similar issue with cryptographic solutions but at the same time lacks sustainability and robustness from a computational perspective. Thereby, the study introduces a 2-tier framework which offers higher-degree of access control along with Virtual Machine (VM) storage security. The study basically optimizes the performance of the model by speeding up the authentication process. The performance validation of the system has been done with respect to conventional encryption standards. The outcome obtained demonstrate that the proposed solution outperforms the existing security standards in terms of processing time, time to generate a secret key and key size for encryption.
Volume: 9
Issue: 5
Page: 3833-3842
Publish at: 2019-10-01

Student risk identification learning model using machine learning approach

10.11591/ijece.v9i5.pp3872-3879
Susheelamma K. H. , K. M. Ravikumar
Several challenges are associated with online based learning systems, the most important of which is the lack of student motivation in various course materials and for various course activities. Further, it is important to identify student who are at risk of failing to complete the course on time. The existing models applied machine learning approach for solving it. However, these models are not efficient as they are trained using legacy data and also failed to address imbalanced data issues for both training and testing the classification approach. Further, they are not efficient for classifying new courses. For overcoming these research challenges, this work presented a novel design by training the learning model for identifying risk using current courses. Further, we present an XGBoost classification algorithm that can classify risk for new courses. Experiments are conducted to evaluate performance of proposed model. The outcome shows the proposed model attain significant performance over stat-of-art model in terms of ROC, F-measure, Precision and Recall.
Volume: 9
Issue: 5
Page: 3872-3879
Publish at: 2019-10-01

Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game

10.11591/ijece.v9i5.pp4326-4335
Bhagyashree Ambore , Suresh L
Security as well as energy efficiency is one of the most inevitable and challenging problems when it comes it large scale network deployment like INternet-of-Things (IoT). After reviewing existing research work on IoT, it was found that there are discrete set of solution for security as well as for energy. However, there is little research work that has jointly investigated both the problems with respect to IoT. Apart from this, there are also various form of attacks that cost energy of sensors that constitutes core physical devices in IoT. Therefore, these manuscripts present a novel idea for identifying and resisting the security breach within an IoT system ensuring energy efficiency too. Harnessing the modelling capability of game-theory, the proposed system offers a joint solution towards these problems. The simulated outcome of the study is found to offer balance performance for better energy efficiency and robust threat mitigation capability when compared with existing approaches.
Volume: 9
Issue: 5
Page: 4326-4335
Publish at: 2019-10-01

Design and implementation of the subsystem subject to emission of multicomponent high-frequency signals to ensure its reliability

10.11591/ijece.v9i5.pp4204-4216
Milad Daneshvar , Naser Parhizgar , Homayoon Oraizi
Telecommunication systems, especially digital ones, are mostly known to be immune to noise given their extensive range of applications. This study aimed to investigate the methods and tools used for the analysis of multicomponent signals input to high-frequency digital subsystems, including the analysis of changes in its electrical behavior. This research mainly focuses on analyzing a high-frequency telecommunication subsystem, recording the results, investigating the system behavior against signals with different amplitudes and phases, detecting the received signals, and measuring the phase differences. The study extended the mono-component signals to multi-component signals and accurately extracted the statistical signal specifications using analytic signals in the time-frequency domain. To this end, a method was proposed based on the switch matrix to relate the different components and parameters, and also a mathematical model based on the state-space equations was employed to evaluate the nonlinear system modes. Given that the decoupling of measurement parameters is a problem to be tackled from multiple aspects, the costs and test durations were also taken into calculations in addition to considering all the detection methods for interference signals, reliability and time under test.
Volume: 9
Issue: 5
Page: 4204-4216
Publish at: 2019-10-01

A new method for voice signal features creation

10.11591/ijece.v9i5.pp4092-4098
Majed O. Al-Dwairi , Amjad Y. Hendi , Mohamed S. Soliman , Ziad A. A. AlQadi
Digital audio is one of the most important types of data at present. It is used in several applications, such as human knowledge and many security and banking applications. A digital voice signal is usually of a large size where the acoustic signal consists of a set of values distributed in one column (one channel) (mono signal) or distributed in two columns (two channels) (stereo signal), these values usually are the results of sampling and quantization of the original analogue voice signal. In this paper we will introduce a method which can be used to create a signature or key, which can be used later to identify or recognize the wave file. The proposed method will be implemented and tested to show the accuracy and flexibility of this method.
Volume: 9
Issue: 5
Page: 4092-4098
Publish at: 2019-10-01

UWB elliptical patch monopole antenna with dual-band notched characteristics

10.11591/ijece.v9i5.pp3591-3598
A H Majeed , K H Sayidmarie
In this paper, a new approach to the design of an UWB monopole antenna with dual band-notched characteristics is presented.   The antenna has the form of an elliptical monopole over a ground plane having an elliptical slot to achieve the UWB. The dual-band notch function is created by inserting a U-shaped and a C-shaped slots on the radiating patch, thus no extra size is needed. The proposed antenna shows a good omnidirectional radiation pattern across the band from 3.2 to more than 14 GHz. The dual band-rejection is for 4.88-5.79GHz centered at 5.4GHz and 7.21-8.46 GHz centered at 7.8 GHz. The antenna prototype using the FR-4 substrate with εr=4.3 has a compact size of 25mm×25 mm ×1.45mm. The fabricated prototype showed experimental results comparable to those obtained from the simulations.
Volume: 9
Issue: 5
Page: 3591-3598
Publish at: 2019-10-01

Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration

10.11591/ijece.v9i5.pp3880-3890
Mohamad Milood Almelian , Izzeldin. I. Mohd , Abu Zaharin Ahmad , Mohamed Salem , Mohamed A. Omran , Awang Jusoh , Tole Sutikno
This article presents a cascaded three-level voltage source converter (VSC) based STATCOM employing an artificial neuron network (ANN) controller with a new simple circuit of space vector pulse width modulation (SVPWM) technique. The main aim of utilizing ANN controller and SVPWM technique is to minimize response time (RT) of STATCOM and improve its performance regard to PF amplitude, and total harmonic distortion (THD) of VSC output current during the period of lagging/leading PF loads (inductive/capacitive loads). The performance of STATCOM is tested using MATLAB/SIMULINK in IEEE 3-bus system. The simulation results clearly proved that the STATCOM with intelligent controller is more efficient compared to a conventional controller (PI controller), where ANN enables the voltage and current to be in the same phase rapidly (during 1.5 cycles) with THD less than 5%.
Volume: 9
Issue: 5
Page: 3880-3890
Publish at: 2019-10-01

Performance analysis of resource scheduling in LTE femtocell with hybrid access mode

10.11591/ijece.v9i5.pp3599-3606
S. Fouziya Sulthana
Femtocell is a promising technology that intends in solving the indoor coverage problems so as to enhance the cell capacity. The overall network performance, in turn depends on the access methods used by the femtocells. The access method is used to identify about the user’s connectivity with the femtocell network. There are three access mechanisms defined in Third Generation partnership Project (3GPP) specification for Long Term Evolution (LTE) femtocells: open, closed and hybrid access mechanisms. Hybrid access mechanism is mostly preferred by the network for the effective utilization of resources. But, it is important to regulate the proper scheduling scheme for them. In this paper, scheduling in femtocell is investigated, where, among the non subscribers, preference is given to the users who have high throughput priority metric, thereby increasing overall throughput of the network.
Volume: 9
Issue: 5
Page: 3599-3606
Publish at: 2019-10-01

A data mining approach for desire and intention to participate in virtual communities

10.11591/ijece.v9i5.pp3714-3719
Özerk Yavuz , Adem Karahoca , Dilek Karahoca
The purpose of this study is to investigate performances of some of the data mining approaches while understanding desire and intention to participate in virtual communities and its antecedents. A research model has been developed following the literature review and the model was tested afterwards. In research part of the study, some of the data mining approaches as JRip, Part, OneR Method, Multilayer Perceptron (Neural Networks), Bayesian Networks have been used. Based on the analysis conducted it has been found out that Multilayer Neural Network had the best correct classification rate and lowest RMSE.
Volume: 9
Issue: 5
Page: 3714-3719
Publish at: 2019-10-01

Multi-scale morphological gradient algorithm based ultra-high-speed directional transmission line protection for internal and external fault discrimination

10.11591/ijece.v9i5.pp3891-3904
Elmahdi Khoudry , Abdelaziz Belfqih , Tayeb Ouaderhman , Jamal Boukherouaa , Faissal Elmariami
This paper introduces an ultra-high-speed directional transmission line protection scheme based on multi-scale morphological gradient algorithm (MSMGA). The directional protection scheme sets down the rules for determining the fault position in relation to the relaying point. The MSMGA is used to extract the fault-induced transient characteristics contained in the voltage and current signals. The associated signals are formed from these transient characteristics and the polarity of their local modulus maxima allow the discrimination between internal and external faults.
Volume: 9
Issue: 5
Page: 3891-3904
Publish at: 2019-10-01

Dynamic analysis and qft-based robust control design of a coaxial micro-helicopter

10.11591/ijece.v9i5.pp4099-4113
Meksi Aissa , Ahmed Hamida Boudinar , Benatman Kouadri
This paper presents the dynamic behavior of a coaxial micro-helicopter, under Quantitative Feedback Theory (QFT) control. The flight dynamics of autonomous air vehicles (AAVs) with rotating rings is non-linear and complex. Then, it becomes necessary to characterize these non-linearities for each flight configuration, in order to provide these autonomous air vehicles (AAVs) with autonomous flight and navigation capabilities. Then, the nonlinear model is linearized around the operating point using some assumptions. Finally, a robust QFT control law over the coaxial micro-helicopter is applied to meet some specifications. QFT (quantitative feedback theory) is a control law design method that uses frequency domain concepts to meet performance specifications while managing uncertainty. This method is based on the feedback control when the plant is uncertain or when uncertain disturbances are affecting the plant. The QFT design approach involves conventional frequency response loop shaping by manipulating the gain variable with the poles and zeros of the nominal transfer function. The design process is accomplished by using MATLAB environment software.
Volume: 9
Issue: 5
Page: 4099-4113
Publish at: 2019-10-01

Sensitivity and packaging improvement of an LCP pressure sensor for intracranial pressure measurement via FEM simulation

10.11591/ijece.v9i5.pp4044-4052
Preedipat Sattayasoonthorn , Jackrit Suthakorn , Sorayouth Chamnanvej
A biocompatible liquid crystal polymer (LCP) pressure sensor is proposed for measuring intracranial pressure (ICP) in Traumatic Brain Injury (TBI) patients. Finite element method using COMSOL multiphysics is employed to study the mechanical behavior of the packaged LCP pressure sensor in order to optimize the sensor design. A 3D model of the 8x8x0.2 mm LCP pressure sensor is simulated to investigate the parameters that significantly influence the sensor characteristics under the uniform pressure range of 0 to 50 mmHg. The simulation results of the new design are compared to the experimental results from a previous design. The result shows that reducing the thickness of the sensing membrane can increase the sensitivity up to six times of that previously reported. An improvement of fabrication methodology is proposed to complete the LCP packaging.
Volume: 9
Issue: 5
Page: 4044-4052
Publish at: 2019-10-01

Suggesting new words to extract keywords from title and abstract

10.11591/ijece.v9i5.pp4441-4445
Hadeel Qasem Gheni , Ahmed Mohammed Hussein , Wed Kadhim Oleiwi
When talking about the fundamentals of writing research papers, we find that keywords are still present in most research papers, but that does not mean that they exist in all of them, we can find papers that do not contain keywords. Keywords are those words or phrases that accurately reflect the content of the research paper. Keywords are an exact abbreviation of what the research carries in its content. The right keywords may increase the chance of finding the article or research paper and chances of reaching more people who should reach them. The importance of keywords and the essence of the research and address is mainly to attract these highly specialized and highly influential writers in their fields and who specialize in reading what holds the appropriate characteristics but they do not read and cannot read everything. In this paper, we extract new keywords by suggesting a set of words, these words were suggested according to the many mentioned in the researches with multiple disciplines in the field of computer. In our system, we take a number of words (as many as specified in the program) that come before the proposed words and consider it as new keywords. This system proved to be effective in finding keywords that correspond to some extent with the keywords developed by the author in his research.
Volume: 9
Issue: 5
Page: 4441-4445
Publish at: 2019-10-01

Smart monitoring system for pressure regulator based on IOT

10.11591/ijece.v9i5.pp3450-3456
Aktham Hasan Ali , Ahmed Hussein Duhis , Nabeel Aad Lafta Alzurfi , Mohannad Jabbar Mnati
In the last years, the interconnection of everyday instruments with internet using internet of thinks (IOT), is widely used as a monitoring and controlling in engineering as in smart cities, environmental, others. In this paper, a remote monitoring system of a pressure regulator is developed through an internet of thinks (IOT) communication tool, using MATLAB® programming platforms. The development of monitoring system for acquisition and communication corresponds to the NodeMCU as a microcontroller with ESP8266 for Wi-Fi connected. This system allows to monitor the reference of the pressure regulator and monitor the information of the transducers machine of the plant. Among the advantages of this type of development is that the server is free, and the development system is low cost, also with this type of projects can strengthen the infrastructure of laboratory equipment in engineering to be controlling in a way remote.
Volume: 9
Issue: 5
Page: 3450-3456
Publish at: 2019-10-01

Finding a suitable threshold value for an iris-based authentication system

10.11591/ijece.v9i5.pp3558-3568
Narongrit Wangkeeree , Sirapat Boonkrong
Authentication is the first line of defense of any information technology systems. One of the popular methods used today is biometric, and iris authentication is gaining popularity. However, the threshold value is deemed to be secure and appropriate has not been thoroughly studied. Threshold is a value that defines the acceptable amount of the correct bits of the image before securely passing the authentication process. Therefore, the main aim of this research was to find a secure and suitable threshold value used in iris authentication system, where iris localization was done by using Circle Hough Transform technique. Iris image databases v.4 from the Chinese Academy of Sciences Institute of Automatic (CASIA) were used in this research. The way to find the appropriate threshold was to test for the right balance of the GAR, FRR and FAR values when trying to verify the person’s identity. The results of the test revealed that the appropriate threshold had the value of 72.9246 percent of all the available bits of the iris image. Both had a high GAR and very low FAR and FRR values.  It can be concluded that the obtained threshold value was suitable and secure.
Volume: 9
Issue: 5
Page: 3558-3568
Publish at: 2019-10-01
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