Journal of Telematics and Informatics
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Ortho Linear Feedback Shift Register Cryptographic System
Get PDFIn this article, an encryption algorithm with an error detection technique is presented for highly secured reliable data transmission over unreliable communication channels. In this algorithm, an input data is mapped into orthogonal code first. After that the code is encrypted with the help of Linear Feedback Shift Register (LFSR). The technique has been successfully verified and synthesized using Xilinx by Spartan-3E FPGA. The results show that the error detection rate has been increased to 100% by proposed encryption scheme is effective and improves bandwidth efficiency
Personalized Web Search Using Browsing History and Domain Knowledge Based on Enhanced User Profile
Get PDFGeneric search engines are important for retrieving relevant information from web. However these engines follow the "one size fits all" model which is not adaptable to individual users. Personalized web search is an important field for tuning the traditional IR system for focused information retrieval. This paper is an attempt to improve personalized web search. User's Profile provides an important input for performing personalized web search. This paper proposes a framework for constructing an Enhanced User Profile by using user's browsing history and enriching it using domain knowledge. This Enhanced User Profile can be used for improving the performance of personalized web search. In this paper we have used the Enhanced User Profile specifically for suggesting relevant pages to the user. The experimental results show that the suggestions provided to the user using Enhanced User Profile ae better than those obtained by using a User Profile
Information Security Behavioral Model: Towards Employees’ Knowledge and Attitude
Get PDFInformation Security has become a significant concern for today’s organizations. The internal security threats acts as the most curtail type of security threat within an organization. These internal security threats are a result of poor conduct of security behavior by the employees within an organization. If not deal properly, it may hamper the auditing of organization. Auditing plays an important role in the business environment. Before conducting auditing it is essential to examine the behavioral aspect of the employees. The objective of this paper is to take out this internal threat that acts as a security slack, out of an organization by using a well-structured approach to develop a security behavior model. To validate the proposed model a survey method is used. The survey method measures the knowledge and attitude of an individual employee towards information security to analyze the behavioral security aspect of the employee’s. Statistical Analysis of the result of survey indicates that the employees’ knowledge and his attitude towards information security derive his behavior towards achieving ultimate organizational goal and thus validates the proposed security model
Application The Farmer Business Using Method E-Market Place
No full textMarketing of products from farmers so far has not been fully coordinated in the region specifically in Central Kalimantan. Although technology has developed, but for small and medium enterprises (SMEs) farmers are still untouched technology as a supporter of promotion and marketing products. Online-based marketing technology is a solution in terms of promotion and marketing. So product data in rural areas can be accessed easily, so it can reach every area . Application of vegetable growers based on digital using E_Market Place method, with the aim to facilitate the promotion and marketing of farmers' businesses online, so can be widely accessible. This matter to increase market sales of SMEs, in addition to the physical market that has been running among farmers. The application provides the availability of data and service management handling, if any changes or additions to sellers and products are promoted and traded online. Applications are supported by monitoring of buyers and revenue from each seller, so as to enhance the promotion and competitiveness of the products offered. Applications are also supported by shipping techniques that buyers can choose from, so that shipping and transaction costs can be known in advance from each purchase
Biometric Personal Identification based on Iris Patterns
Get PDFThis paper discusses an analysis of human iris patterns for recognition of biometric system which consists of a segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region is then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. To encode the unique pattern of the iris into a bit-wise biometric template, 1D Log-Gabor filter is used.Finally to match two iris templates hamming distance is used as matching metric. The system performance is analyzed on 312 iris images taken from standard CASIA Iris Interval database version 4. To establish the verification accuracy of iris representation and matching approach, each iris image in the database is matched with all the other iris images in the database and genuine and imposter distribution is found .The performance of the system is implemented by evaluating the Decidability Index (DI), False match rate (FMR), False Non-match rate (FNMR), Genuine Accept Rate (GAR) and Equal error rate (EER)
Efficient Hybrid Genetic Based Multi Dimensional Host Load Aware Algorithm for Scheduling and Optimization of Virtual Machines
Get PDFMapping the virtual machines to the physical machines cluster is called the VM placement. Placing the VM in the appropriate host is necessary for ensuring the effective resource utilization and minimizing the datacenter cost as well as power. Here we present an efficient hybrid genetic based host load aware algorithm for scheduling and optimization of virtual machines in a cluster of Physical hosts. We developed the algorithm based on two different methods, first initial VM packing is done by checking the load of the physical host and the user constraints of the VMs. Second optimization of placed VMs is done by using a hybrid genetic algorithm based on fitness function. Our simulation results show that the proposed algorithm outperforms existing methods and enhances the rate of resource utilization through accommodating more number of virtual machines in a physical hos
Segmentation of Blood Vessels and Optic disc in Retinal Images
No full textUnderstanding of picture substance is one of the targets in PC vision particularly in picture transforming. In this period it has gotten much familiarity with analysts. In picture elucidation the segment of the picture into article and foundation is a serious step. Division differentiates a picture into its segment locales or articles. Picture division t needs to portion the article from the foundation to peruse the picture legitimately and recognize the substance of the picture painstakingly. In this setting, edge identification is a principal apparatus for picture division. In this paper an endeavor is made to study the execution of most usually utilized edge location strategies for picture division
Encryption Based Access Control Model In Cloud: A Survey
Get PDFCloud computing is known as “Utility”. Cloud Computing enabling users to remotely store their data in a server and provide services on-demand. Since this new computing technology requires user to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. We can increase security on access of the data in the cloud. Morever we can provide encryption on the data so third party can not use thedata. In this paper we will be reviewing various encryption based access control model for enhancing cloud security along with their limitations. We will be concluding with a proposed access control model to enhance cloud security
Automated Erythrocytes Counting in Microscopic Thin Blood Smear Digital Images
Get PDFThe Erythrocytes counting is part of the complete blood count test and it is frequently suggested by the Physician to know the number of Erythrocytes in the patient’s body. At present mostly the counting process is performed manually which is laborious, error prone and time consuming. The main purpose of this study is to use the digital image processing techniques to automate the counting process of the Erythrocytes or Red Blood Cells in Microscopic thin Blood smear digital images. The automated diagnosing gain the attention of the researchers from the last two decades because it assist the experts to reduce the burden of errors, labour and time of examination. In this regard, too much research has been performed on the automation of the counting process of the Erythrocytes but still the test demands to be done in a proper, efficient, accurate and realistic way. The proposed method achieved an average True Positive Rate (TPR) of 95%, True Negative Rate (TNR) of 5%, average accuracy of 97% and average error of 3%
Application of MFFC and Edge Detection for Remote Driven Vehicles through Matlab
Get PDFoai:ojs.portalgaruda.org:article/159Speech recognition is a rapidly emerging technology in Human Computer Interaction HCI. It has many applications as we use it from search engines to the device control it serves many areas we interact every day from dawn to dusk. Along with the uses we have many limitations in speech processing such as Language barrier, Accent and Noise, so to implement the speech processing we have many challenges. To enable the advantages of this speech processing most of the leading software companies like Apple, Microsoft and Google are continuously evolving their speech enabled applications. The speech processing eases the physically challenged people’s interaction with the devices and makes them productive. The Idea of the automatically driven cars is introduced by Google and Audi, but they are not acceptable in most of the cases because of lacking trust in current technology. Thus we here worked on the remote driven vehicle in a more secured method using the Mel Frequency cepstral Coefficient. The secure driving of the vehicle can be ensured by the remote driver. This technique is very rapid and more reliable for the speech detection thus the remote driver can use the MFCC and the video from the vehicle needed to be broadcasted to the remote driver that can be done an IP camera running on a data network. And the instructions can from the remote driver can be sent to the vehicle by an app created with python that connected to a micro controller. To minimize the limitations in the remote drive the vehicle must be enabled with automatic braking when obstacle approaches which can be done by the Ultrasonic sensors that do the distance estimation. The remote drivers usually have a very limited view of road they drive and they must get the precise edges of the road this can be achieved by processing the stream of images to calculate the edge in Matlab