bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gradient observability and sensors for hyperbolic systems
Authors: Boutoulout A. , Bourray H. , Khazari A. 
Published: May 2018

The aim of this paper is to develop useful rigorous results related tothe gradient observability and sensors. The concept of gradient strategic sensors is characterized and applied to the wave equation. This emphasizes the spatial structure and location of the sensors in order that regional gradient observability can be achieved. The developedÂ results are illustrated by many examples, Finally The reconstruct method leads to a numerical algorithm illustrated by simulations.
Delay analysis of multihop wireless ad hoc network using queuing network model
Authors: Kumari Seema , Kharat Dr.M.U. 
Published: May 2018

Ad hoc wireless network is a self configurable infrastructure less network. The lack of infrastructure support in ad hoc networks makes them useful in various applications such as at the disaster site, highway, vast forest, battle field, oceans, etc. Since there is no centralized control in ad hoc network, each node can act as a source, a destination or a router. Ad hoc wireless networks therefore, experience congestion more than the wired networks, leading to jitter and high end to end delays even for moderate traffic which may lead to performance degradation. So it is crucial to analyze the factors which affect the capacity and end-to-end delay in wireless ad-hoc networks. In this paper a G/G/1queuing network model is proposed togain insights into the end-to-end delay in a multi hop wireless ad hoc networks. Queuing network model is unique as it providesclosed form expressions for average end-to-end delay in multihop wireless ad hoc networks. NS2 simulation is conducted in order to verifyÂ and compare the theoretical results.
Ontological Engineering Approach Towards Botnet Detection in Network Forensics
Authors: Kaur Sukhdilpreet , Verma Amandeep 
Published: May 2018

The abundance in the usage of Internet, in every arena of life from social to personal, commercial to domestic and other aspects of life as well, leads the rise in cybercrime at an upsetting speed. More illegal activities as a result of cyber crime, reason to tempts many network attacks and threats. Network forensics is the branch of fornesics that deals in the detection of network attacks. Botnet is one of the most common attacks, but hazardos.Â It Â is a network of hacked computers It Â involves the capturing, storing and then analysis of the network packets, in order to identify the source of the attack. Â Various methods based on this approach for botnet detection are suggested in literature but there is no generalized method to represent the basic methodology used by any of the botnet detection method. With such guidelines, the comparison among the various implementations, a roadmap for the new implementation, development of reusable implementations can be addressed. Accordingly, there is a requirement of a generic framework that can characterize the general methodology followed by any of the botnet detection methods. This paper, review various prevalent methods of botnet detection to extract commonalities among them. A global model for the detection of botnets is represented as ontology. Ontology is used as a means of knowledge representation. The botnet ontology is represented using Web Ontology Language (OWL). OWL is used because it is a language with layered architecture and high expressive power.Â
Raspberry Pi for Commercial Applications
Authors: Bysani Chaitanya , Prasad T. S. Rama Krishna , Chundi Sridhar 
Published: May 2018

The objective of this paper is to create a low cost commercial off the shelf data analyzer for improving automotive safety and design a user interface infotainment system by using Raspberry Pi.Â In this paper we propose Raspberry pi based application that monitor the vehicle ECUs through an OBD-II(On Board Diagnostics) interface, perform Diagnostics with DTCs (Diagnostics trouble codes). Infotainment system having functions such as audio and video playback, games, internet connectivity through either USB Wi-Fi dongles or USB Modems and dashboard camera operation. Raspberry Pi will transmit the data over Wi-Fi in real-time in xml format over Wi-Fi on a DHCP connected network.
The Impact of Social Media on Workplace Culture
Authors: S.Baqutayan Dr. Shadiya Mohamed , Al-Hamami Nasser Mohammed 
Published: May 2018

Social media has begun long time ago, and recently has immeasurable popularity across theÂ globe. People tended to use this technology in making new friends, keeping up with their ownÂ friends, and most significantly sharing experiences and making life easy with the informationÂ gain from this new technology. Certainly, the most common reason for using this technology areÂ communication and collaborations, and surrly, the reason is because it is the most easiest way tobuild relationships in disperses social communities. Sampling of 81-employees and managersÂ assigned from organizations worldwide. Hence, their impact of social media networkingtechnology on workplace culture were measured. The aim of this research was to assess theÂ impact of media networking on employees behaviour, job satisfaction and performance.Eventually, the result indicated that social media networking technology have great impact onÂ employee behavior, performance, and job satisfaction. This outcome will help employee toÂ managed their work, gain competitive advantage for business organizations, and definitely helpÂ them establish and maintain their companyâ€™s reputation, granting them more confidence,Â successful, and effectual ways of working.
Software Quality: Issues, Concerns and New Directions
Authors: Sabbani Sarachyuth , Reddi Kiran Kumar , Rao S.V. Achuta 
Published: May 2018

Software metrics and quality models have a very important role to play in measurement of software quality. A number of well-known quality models and software metrics are used to build quality software both in industry and in academia. Development of software metrics is an ongoing process with new metrics being continuously tried out.Â However, during our research on measuring software quality using object oriented design patterns, we faced many issues related to existing software metrics and quality models. For a particular situation of interest, any established metric can be used. If none is found to be appropriate, a new metric can be devised. In this paper, we discuss some of these issues and present our approach to software quality assessment.
Digital Watermarking Techniques
Authors: Chahal Prabhjot Kaur , Singh Amritpal , Singh Palwinder 
Published: May 2018

More the development of the multimedia, more the digitalization, the more is the access to internet. This fast rate of enhancement gives a sense of protection and authentication.Â Digital watermarking technology provides a strong solution to insecurity created by digitalization. In this paper, our focus is on the basic concepts of watermarking, their characterisation, their techniques. Extending more, we will elaborate one of the latest technique of watermarking named as â€œDiscrete Cosine Transformâ€ (DCT).
PRIVACY PRESERVING CLUSTERING BASED ON LINEAR APPROXIMATION OF FUNCTION
Authors: Pasupuleti Rajesh , Gugulothu Narsimha 
Published: May 2018

Clustering analysis initiativesÂ a new direction in data mining that has major impact in various domains including machine learning, pattern recognition, image processing, information retrieval and bioinformatics. Current clustering techniques address some of theÂ requirements not adequately and failed in standardizing clustering algorithms to support for all real applications. Many clustering methods mostly depend on user specified parametric methods and initial seeds of clusters are randomly selected byÂ user.Â In this paper, we proposed new clustering method based on linear approximation of function by getting over all idea of behavior knowledge of clustering function, then pick the initial seeds of clusters as the points on linear approximation line and perform clustering operations, unlike grouping data objects into clusters by using distance measures, similarity measures and statistical distributions in traditional clustering methods. We have shown experimental results as clusters based on linear approximation yields goodÂ results in practice with an example ofÂ business data are provided.Â It alsoÂ explains privacy preserving clusters of sensitive data objects.
IMAGE SCRAMBLING USING NON SINUSOIDAL TRANSFORM AND KEY BASED SCRAMBLING TECHNIQUE
Authors: Kekre H.B. , Sarode Tanuja , Halarnkar Pallavi , Mazumder Debkanya 
Published: May 2018

Nowadays Digital Images find a lot of applications almost in all the fields, for e.g. Information Hiding. Security of these images is very important. Image encryption is one method of providing security to digital images. In this paper we have proposed a method for Image scrambling which is based on a combination of spatial and frequency domain.Â Four different Non sinusoidal transforms, Walsh , Slant ,Kekre and Haar were used. Three different types i.e Row , Column and Full Transforms of these four transforms were applied for Image scrambling , out of these four Kekre Transform gave the best result
Developing and Evaluation of New Hybrid Encryption Algorithms
Authors: AbdElminaam DiaaSalama , Abdul Kader Hatem M. , Hadhoud Mohie M. , El-Sayed Salah M 
Published: May 2018

Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data. Encryption algorithms play good roles in information security systems (ISS). Those algorithms consume a significant amount of computing resources such as battery power. Wireless Sensor networks are powered by a battery which is a very limited resource. At present, various types of cryptographic algorithms provide high security to information on networks, but there are also has some drawbacks.Â The present asymmetric encryption methods and symmetric encryption methods can offer the security levels but with many limitations. For instance key maintenance is a great problem faced in symmetric encryption methods and less security level is the problem of asymmetric encryption methods even though key maintenance is easy. To improve the strength of these algorithms, we propose a new hybrid cryptographic algorithm in this paper. The algorithm is designed using combination of two symmetric cryptographic techniques and two Asymmetric cryptographic techniques. This protocol provides three cryptographic primitives, integrity, confidentiality and authentication. It is a hybrid encryption method where elliptical curve cryptography (ECC) and advanced encryption (AES) are combined to provide node encryption. RSA algorithm and Blowfish are combined to provide authentication and (MD5) for integrity. The results show that the proposed hybrid cryptographic algorithm gives better performance in terms of computation time and the size of cipher text.This paper tries to present a fair comparison between the new protocols with four existing different hybrid protocols according to power consumption. A comparison has been conducted for those protocols at different settings for each protocol such as different sizes of data blocks, and finally encryption/decryption speed. Experimental results are given to demonstrate the effectiveness of each algorithm.
QoS in Wireless Mesh Networks- A Review
Authors: Sandhu Preet Pavneet Kaur , Saini Prof. Jatinder Singh 
Published: May 2018

This paper is a review on QoS issue of Wireless mesh networks. QoS comes up with a great collection of networking technologies and procedures that guarantees the capability of a network to deliver with predictable consequences. WMNs have emerged as a flexible, reliable and cost effective way of providing broadband internet access over wide areas through multi hop communication. This paper has reviewed different routing protocols usedÂ in the WMNs. The overall objective of this paper is to explore the various short comings of the routing protocols of WMN.
Design and Implementation of New Future Television Cloud Computing
Authors: Eldin Salwa M. Serag , Khamis Salah A. , Hassan Prof. Abdel-Aziz Ibrahim Mahmoud , Alsharqawy Mohammed A. 
Published: May 2018

A design and implementation of new future TV Cloud Computing (ClComp)Â for international systems integration and bridging the gap between linear broadcast, information technology and Internet Protocol of television and mobile television is presented to help Authorized Groups (AuthGs) reach and engage audiences on any television screen. . The cloud design is applied to the Egyptian Radio and Television Union (ERTU). The applications, security, efficiency, flexibility, greater agility, less expenditure and to overcome geographic limitations which are the solution of the cloud are introduced to compete in a global market. The design and evaluation steps are addressed to insure the reliability and compatibility of cloud to the desired targets. A software package for audio watermarking has been presented as an example for its application to ensure protection, in case of saving, and security, in case of transmission of the media through the proposed cloud. The package contains many visual tests such as probability, spectrum, power and scatter diagrams to enable user to quickly investigate the content. All this application was done to suit the webâ€“based where many departments can get benefit from anywhere and anytime according to department request and cloud polices.
Dose distributions verification for High dose rate brachytherapy plans by using ionization chambers 2D array
Authors: Abdelfattah Rasha Moustafa , Deiab N. Ahmed , Elnaggar M. Hassan , Khedr M. Hany , Rizk R. Abdelmoneim 
Published: May 2018

The purpose of this paper is to perform dosimetric verification (in-phantom) of dose distributions calculated with treatment planning system (TPS) by usingÂ 2D chamber array device in HDR brachytherapy. HDR brachytherapy treatment plansâ€™dose distribution verification is performed using the two-dimensional (2D) ionization chamber array MatriXX Evolution developed by IBA Dosimetry (IBA Dosimetry, Germany) whose detector area is covered with the Nucletron Freiburg Flap Applicator Set (Nucletron BV,Veenendaal, the Netherlands) with catheters such that the detector plane was set to 0.86 cm from the catheter plane. Fixed slabs of RW3 (Perspex) were added below the 2D-ARRAY to provide full scattering conditions. The phantom was scanned on computed tomography (CT) for treatment planning with 2.5-mm slice thickness. Based on the CT data of the phantom, three different plans were calculated by the planning system (Oncentrabrachy version 4.3, Nucletron BV) and then are exported to the VERISOFT software for comparison with measured data. For comparison of dose distributions, both dose planes â€“ measured & calculated â€“ were normalized Â to the global maximum dose of the reference matrix (measured data set) and compared using the Gamma index method. Gamma indexes were evaluated using a dose-difference criterion of 3% and a distance criterion of 3 mm (Î³â‰¤1).The total number of evaluated dose points for the vault test caseÂ is 9755, 98.6 % of them (9623 point) passed the criteria of acceptability (3% delta dose and 3-mm distance criteria) and 1.4% of them (132 point) failed it. The total number of evaluated dose points for the full test case is 19964, 93.6 % of them (18683 point) passed Â the criteria of acceptability and 6.4% of them (1281 point) failed it. And the total number of evaluated dose points for the cylinder test case is 19871, 96.9 % of them (19258 point) passed the criteria of acceptability and 3.1% of them (613 point) failed it. By thisThe use of the two-dimensional (2D) ionization chamber array MatriXX Evolution for brachytherapy applications has been successfully demonstrated. The array measurements in these planes have shown acceptable agreement with the TPS, generally within 3% delta dose and 3-mm distance agreement criteria within each plane. The comparisons made led to make a relation between the passing percentage values to the number of the evaluated dose points for each test case and it was found that as the number of these pixels increases the possibility of having more failing points increases.
A NOVEL APPROACH OF JOB ALLOCATION USING MULTIPLE PARAMETERS IN IN CLOUD ENVIRONMENT
Authors: Ashima Ashima , Singh Vikramjit 
Published: May 2018

Cloud computing is Internet ("cloud") based development and use of computer technology ("computing"). It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. This research deals with the balancing of work load in cloud environment. Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. Grid computing utilizes the distributed heterogeneous resources in order to support complicated computing problems. Grid can be classified into two types: computing grid and data grid. We propose an improved load balancing algorithm for job scheduling in the Grid environment. Hence, in this research work, a multi-objective load balancing algorithm has been proposed to avoid deadlocks and to provide proper utilization of all the virtual machines (VMs) while processing the requests received from the users by VM classification. The capacity of virtual machine is computed based on multiple parameters like MIPS, RAM and bandwidth. Heterogeneous virtual machines of different MIPS and processing power in multiple data centers with different hosts have been created in cloud simulator. The VMâ€™s are divided into 2 clusters using K-Means clustering mechanism in terms of processor MIPS, memory and bandwidth. The cloudlets are divided into two categories like High QOS and Low QOS based on the instruction size. The cloudlet whose task size is greater than the threshold value will enter into High QOS and cloudlet whose task size is lesser than the threshold value will enter into Low QOS. Submit the job of the user to the datacenter broker. The job of the user is submitted to the broker and it will first find the suitable VM according to the requirements of the cloudlet and will match VM depending upon its availability. Multiple parameters have been evaluated like waiting time, turnaround time, execution time and processing cost. This modified algorithm has an edge over the original approach in which each cloudlet build their own individual result set and it is later on built into a complete solution.
Faster Convergent Artificial Neural Networks
Authors: De Groff Dolores , Neelakanta Perambur 
Published: May 2018

Proposed in this paper is a novel fast-convergence algorithm applied to neural networks (ANNs) with a learning rate based on the eigenvalues of the associated Hessian matrix of the input data. That is, the learning rate applied to the backpropagation algorithm changes dynamically with the input data used for training. The best choice of learning rate to converge to an accurate value quickly is derived. This newly proposed fast-convergence algorithm is applied to a traditional multilayer ANN architecture with feed-forward and backpropagation techniques. The proposed strategy is applied to various functions learned by the ANN through training. Learning curves obtained using calculated learning rates according to the novel method proposed are compared to learning curves utilizing an arbitrary learning rate to demonstrate the usefulness of this novel technique. This study shows that convergence to accurate values can be achieved much more quickly (a reduction in iterations by a factor of hundred) using the techniques proposed here. This approach is illustrated in this research work with derivations and pertinent examples to illustrate the method and learning curves obtained.
HRMS: IS THE ROLE CHANGING FROM BEING ADMINISTRATIVE TO STRATEGIC?
Authors: Mahajan Goldy , Mehta Prof. Versha 
Published: May 2018

Human Resource Management System (HRMS) seems to matter for Human Resource Management (HRM) in the current digital economy. Many firms transform their HRM functions from the manual work processes to the computerized work processes. Information technology is expected to drive Human Resource (HR)'s transition from a focus on Human Resource Management (HRM) to Strategic Human Resource Management (SHRM). This strategic role not only adds a valuable dimension to the HR function, but also changes the competencies that define HR professional and practitioner success. Interestingly, an HRMS is utilized for administrative purposes rather than analytical purposes. The study focused on the implementation of HRMS in the J&K BankÂ and attempts to investigate whether Human Resource Management Systems have reached the strategic potential in HR department or not.
NLP TOKEN MATCHING ON DATABASE USING BINARY SEARCH
Authors: Aggarwal Ekta , Nair Shreeja 
Published: May 2018

Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. The paper deals with the concept of database where by the data resources data can be fetched and accessed accordingly with reduced time complexity. The retrieval techniques are pointed out based on the ideas of binary search. A natural language interface refers to words in its own dictionary as well as to the words in the standard dictionary, in order to interpret a query. The main contribution of this investigation is addressing the problem of improving the accuracy of the query translation process by using the information provided by the database schema.Â Â
Enhanced Tiny Encryption Algorithm with Embedding (ETEA)
Authors: Virmani Dr. Deepali , Beniwal Nidhi , Mandal Gargi , Talwar Saloni 
Published: May 2018

As computer systems become more pervasive and complex, security is increasingly important. Secure Transmission refers to the transfer of data such as confidential or proprietary information over a secure channel. Many secure transmission methods require a type of encryption. Secure transmissions are put in place to prevent attacks such as ARP spoofing and general data loss. Hence, Â in order to provide a better security mechanism, in this paper we Â propose Enhanced Tiny Encryption Algorithm with Embedding (ETEA), a data hiding technique called steganography along with the technique of encryption (Cryptography). The advantage of ETEA is that it incorporates cryptography and steganography. The advantage proposed algorithm is that it hides the messages.