Articles

Improved method for image security based on chaotic-shuffle and chaotic-diffusion algorithms

10.11591/ijece.v9i1.pp273-280

Sanjeev Sharma , Tarun Kumar , Ravi Dhaundiyal , Amit Kumar Mishra , Nitin Duklan , Ashish Maithani

In this paper, we propose to enhance the security performance of the color image encryption algorithm which depends on multi-chaotic systems. The current cryptosystem utilized a pixel-chaotic-shuffle system to encode images, in which the time of shuffling is autonomous to the plain-image. Thus, it neglects to the picked plaintext and known-plaintext attacks. Also, the statistical features of the cryptosystem are not up to the standard. Along these lines, the security changes are encircled to make the above attacks infeasible and upgrade the statistical features also. It is accomplished by altering the pixel-chaotic-shuffle component and including another pixel-chaotic-diffusion system to it. The keys for diffusion of pixels are extracted from the same chaotic arrangements created in the past stage. The renovation investigations and studies are performed to exhibit that the refreshed version of cryptosystem has better statistical features and invulnerable to the picked plaintext and known plaintext attacks than the current algorithm.

Volume: 9

Issue: 1

Page: 273-280

Publish at: 2019-02-01

Negative image amplifier technique for performance enhancement of ultra wideband LNA

10.11591/ijece.v9i1.pp221-230

Kishor G. Sawarkar , Kushal R. Tuckley

The paper aims at designing of two stage cascaded ultra-wideband (UWB) low noise amplifier (LNA) by using negative image amplifier technique. The objective of this article is to show the performance improvement using negative image amplifier technique and realization of negative valued lumped elements into microstrip line geometry. The innovative technique to realize the negative lumped elements are carried out by using Richard’s Transformation and transmission line calculation. The AWR microwave office tool is used to obtain characteristics of UWB LNA design with hybrid microwave integrated circuit (HMIC) technology. The 2-stage cascaded LNA design using negative image amplifier technique achieves average gain of 23dB gain and low noise figure of less than 2dB with return loss less than -8dB for UWB 3-10GHz. The Proper bias circuit is extracted using DC characteristics of transistor at biasing point 2V, 20mA and discussed in detail with LNA layout. The negative image matching technique is applied for both input and output matching network. This work will be useful for all low power UWB wireless receiver applications.

Volume: 9

Issue: 1

Page: 221-230

Publish at: 2019-02-01

Automatic detection of rust disease of Lentil by machine learning system using microscopic images

10.11591/ijece.v9i1.pp660-666

Kuldeep Singh , Satish Kumar , Pawan Kaur

Accurate and early detection of plant diseases will facilitate mitigate the worldwide losses experienced by the agriculture area. MATLAB image processing provides quick and non-destructive means of rust disease detection. In this paper, microscopic image data of rust disease of Lentil was combined with image processing with depth information and developed a machine learning system to detect rust disease at early stage infected with fungus Uromyces fabae (Pers) de Bary. A novel feature set was extracted from the image data using local binary pattern (LBP) and HBBP (Brightness Bi-Histogram Equalization) for image enhancement. It was observed that by combining these, the accuracy of detection of the diseased plants at microscopic level was significantly improved. In addition, we showed that our novel feature set was capable of identifying rust disease at haustorium stage without spreading of disease.

Volume: 9

Issue: 1

Page: 660-666

Publish at: 2019-02-01

An improved fitness function for automated cryptanalysis using genetic algorithm

10.11591/ijeecs.v13.i2.pp643-648

Md. Shafiul Alam Forhad , Md. Sabir Hossain , Mohammad Obaidur Rahman , Md. Mostafizur Rahaman , Md. Mokammel Haque , Md. Kamrul Hossain

Genetic Algorithm (GA) is a popular desire for the researchers for creating an automated cryptanalysis system. GA strategy is useful for many problems. Genetic Algorithms try to solve problems by using genetic processes. Different techniques for deciding on fitness function relying on the ciphers have proposed by different researchers. The most necessary component is to set such a fitness function that can evaluate different types of ciphers on the identical scale. In this paper, we have proposed a combined fitness function that is valid for great sorts of ciphers. We use GA to select the fitness function. We have bought the higher result after imposing our proposed method.

Volume: 13

Issue: 2

Page: 643-648

Publish at: 2019-02-01

A hybrid algorithm to reduce energy consumption management in cloud data centers

10.11591/ijece.v9i1.pp554-561

Mehran Tarahomi , Mohammad Izadi

There are several physical data centers in cloud environment with hundreds or thousands of computers. Virtualization is the key technology to make cloud computing feasible. It separates virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of user application. It is also possible to dynamically alter the allocated resources of a virtual machine. Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering thermal characteristics of the environment. This paper focuses on load balancing methods as they act dynamically because of their dependence on the current behavior of system. By taking a detailed look on previous methods, we provide a hybrid method which enables us to save energy through finding a suitable configuration for virtual machines placement and considering special features of virtual environments for scheduling and balancing dynamic loads by live migration method.

Volume: 9

Issue: 1

Page: 554-561

Publish at: 2019-02-01

Deep learning for pose-invariant face detection in unconstrained environment

10.11591/ijece.v9i1.pp577-584

Shivkaran Ravidas , M. A. Ansari

In the recent past, convolutional neural networks (CNNs) have seen resurgence and have performed extremely well on vision tasks. Visually the model resembles a series of layers each of which is processed by a function to form a next layer. It is argued that CNN first models the low level features such as edges and joints and then expresses higher level features as a composition of these low level features. The aim of this paper is to detect multi-view faces using deep convolutional neural network (DCNN). Implementation, detection and retrieval of faces will be obtained with the help of direct visual matching technology. Further, the probabilistic measure of the similarity of the face images will be done using Bayesian analysis. Experiment detects faces with ±90 degree out of plane rotations. Fine tuned AlexNet is used to detect pose invariant faces. For this work, we extracted examples of training from AFLW (Annotated Facial Landmarks in the Wild) dataset that involve 21K images with 24K annotations of the face.

Volume: 9

Issue: 1

Page: 577-584

Publish at: 2019-02-01

A modified backward/forward sweep-based method for reconfiguration of unbalanced distribution networks

10.11591/ijece.v9i1.pp85-101

Michel Duran-Quintero , John E. Candelo , Jose Soto-Ortiz

A three-phase unbalanced power flow method can provide a more realistic scenario of how distribution networks operate. The backward/forward sweep-based power flow method (BF-PF) has been used for many years as an important computational tool to solve the power flow for unbalanced and radial power systems. However, some of the few available research tools produce many errors when they are used for network reconfiguration because the topology changesafter multiple switch actions and the nodes are disorganized continually. This paper presents a modifiedBF-PF for three-phase unbalanced radial distribution networks that is capable of arranging the system topology when reconfiguration changes the branch connections. A binary search is used to determine the connections between nodes, allowing the algorithm to avoid those problems when reconfiguration is carried out, regardless of node numbers. Tests are made to verify the usefulness of the proposed algorithm in both the IEEE 13-node test feeder and the 123-node test feeder, converging in every run where constraints are accomplished. This approach can be used easily for a large-scale feeder network reconfiguration. The full version of this modified backward/forward sweep algorithm is available for research at MathWorks.

Volume: 9

Issue: 1

Page: 85-101

Publish at: 2019-02-01

Opinion mining framework using proposed RB-bayes model for text classication

10.11591/ijece.v9i1.pp477-484

Rajni Bhalla , Amandeep Bagga

Information mining is a capable idea with incredible potential to anticipate future patterns and conduct. It alludes to the extraction of concealed information from vast data sets by utilizing procedures like factual examination, machine learning, grouping, neural systems and genetic algorithms. In naive baye’s, there exists a problem of zero likelihood. This paper proposed RB-Bayes method based on baye’s theorem for prediction to remove problem of zero likelihood. We also compare our method with few existing methods i.e. naive baye’s and SVM. We demonstrate that this technique is better than some current techniques and specifically can analyze data sets in better way. At the point when the proposed approach is tried on genuine data-sets, the outcomes got improved accuracy in most cases. RB-Bayes calculation having precision 83.333.

Volume: 9

Issue: 1

Page: 477-484

Publish at: 2019-02-01

Hardware/software co-design for a parallel three-dimensional bresenham’s algorithm

10.11591/ijece.v9i1.pp148-156

Sarmad Ismael , Omar Tareq , Yahya Taher Qassim

Line plotting is the one of the basic operations in the scan conversion. Bresenham’s line drawing algorithm is an efficient and high popular algorithm utilized for this purpose. This algorithm starts from one end-point of the line to the other end-point by calculating one point at each step. As a result, the calculation time for all the points depends on the length of the line thereby the number of the total points presented. In this paper, we developed an approach to speed up the Bresenham algorithm by partitioning each line into number of segments, find the points belong to those segments and drawing them simultaneously to formulate the main line. As a result, the higher number of segments generated, the faster the points are calculated. By employing 32 cores in the Field Programmable Gate Array, a line of length 992 points is formulated in 0.31μs only. The complete system is implemented using Zybo board that contains the Xilinx Zynq-7000 chip (Z-7010).

Volume: 9

Issue: 1

Page: 148-156

Publish at: 2019-02-01

Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions

10.11591/ijece.v9i1.pp359-368

Okokpujie Kennedy , Emmanuel Chukwu , Olamilekan Shobayo , Etinosa Noma-Osaghae , Imhade Okokpujie , Modupe Odusami

This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying conditions using MATLAB® and Simulink® software. From the results obtained, the MPC controller gives the best result in terms of response time and controllability in a wireless network with varying link capacity and propagation delay. Thus, the MPC controller is the best bet when adaptive algorithms are to be employed in a wireless network environment. The MPC controller can also be recommended for heterogeneous networks where the network load cannot be estimated.

Volume: 9

Issue: 1

Page: 359-368

Publish at: 2019-02-01

Hardware simulation for exponential blind equal throughput algorithm using system generator

10.11591/ijece.v9i1.pp170-180

Yusmardiah Yusuf , Darmawaty Mohd Ali , Norsuzila Ya’acob

Scheduling mechanism is the process of allocating radio resources to User Equipment (UE) that transmits different flows at the same time. It is performed by the scheduling algorithm implemented in the Long Term Evolution base station, Evolved Node B. Normally, most of the proposed algorithms are not focusing on handling the real-time and non-real-time traffics simultaneously. Thus, UE with bad channel quality may starve due to no resources allocated for quite a long time. To solve the problems, Exponential Blind Equal Throughput (EXP-BET) algorithm is proposed. User with the highest priority metrics is allocated the resources firstly which is calculated using the EXP-BET metric equation. This study investigates the implementation of the EXP-BET scheduling algorithm on the FPGA platform. The metric equation of the EXP-BET is modelled and simulated using System Generator. This design has utilized only 10% of available resources on FPGA. Fixed numbers are used for all the input to the scheduler. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm. The output from the hardware co-simulation showed that the metric values of EXP-BET produce similar results to the Simulink environment. Thus, the algorithm is ready for prototyping and Virtex-6 FPGA is chosen as the platform.

Volume: 9

Issue: 1

Page: 170-180

Publish at: 2019-02-01

A novel approach to dynamic profiling of e-customers considering click stream data and online reviews

10.11591/ijece.v9i1.pp602-612

Houda Zaim , Adil Haddi , Mohammed Ramdani

In this paper, we present an approach for mining change in customer’s behavior for the purpose of maintaining robust profiling model over time. Most of previous studies leave important questions unanswered: In developing B2C e-commerce strategies, how do managers implicitly load customer’s profiles based on their satisfaction over the online store characteristics? And: What kind of feedback segments do they have? Our proposed approach does not force customers to explicitly express their preference information over the online service but rather capture their preference from their online activities. The challenge does not only lay in analyzing how customer’s classifier model change and when it does so but also to adapt it to the customer’s click stream data using a new decision tree generation algorithm which takes as inputs new set of variables; categorical, continuous and fuzzy variables. Customer’s online reviews rates are considered as classes. Experiments show that this work performed well in identifying relevant customer’s stream data to judge the chinese e-commerce website “Tmall”. The extracted values of the website’s features are also useful to identifying the satisfaction level when the customer’s rate is not available.

Volume: 9

Issue: 1

Page: 602-612

Publish at: 2019-02-01

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filters article

Years

Source Title

Authors

30,907 Article Results

Improved method for image security based on chaotic-shuffle and chaotic-diffusion algorithms

Negative image amplifier technique for performance enhancement of ultra wideband LNA

Automatic detection of rust disease of Lentil by machine learning system using microscopic images

An improved fitness function for automated cryptanalysis using genetic algorithm

A hybrid algorithm to reduce energy consumption management in cloud data centers

Deep learning for pose-invariant face detection in unconstrained environment

A modified backward/forward sweep-based method for reconfiguration of unbalanced distribution networks

Opinion mining framework using proposed RB-bayes model for text classication

Hardware/software co-design for a parallel three-dimensional bresenham’s algorithm

Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions

Hardware simulation for exponential blind equal throughput algorithm using system generator

A novel approach to dynamic profiling of e-customers considering click stream data and online reviews

Automated PCB identification and defect-detection system (APIDS)

ASIC design of low power-delay product carry pre-computation based multiplier

Analyzing bootsrap and foundation font-end frameworks : a comparative study

Discover Our Library