bluuebunny/crossref_metadata_2025 huggingface dataset:
DESIGN OF CMOS LOW DROP-OUT REGULATORS: A COMPARATIVE STUDY
Authors: Mishra Ashvani Kumar , Pandey Rishikesh
Published: May 2018

The advancement in battery operated portable devices, noise sensitive devices and other devices, which need high precision supply voltages has fuelled the growth of Low Drop-Out Regulators. Low Drop-Out Regulators showed advantage over its counterpart. The design of Low Drop-Out Regulators with high performance and less Die area is challenging problem now-a-days. This paper is a study of various techniques that are used to achieve better performance of low drop-out regulators.Â
A View of Cloud Computing
Authors: Singh Bhagwan , Dhawan Sumeet , Arora Anish , Patail Abhishek
Published: May 2018

In this work we strive to frame the full space of cloud-computing security issues, attempting to separate justified concerns from possible over-reactions. We examine contemporary and historical perspectives from industry, academia, government, and â€œblack hatsâ€. We argue that few cloud computing security issues are fundamentally new or fundamentally intractable; often what appears â€œnewâ€ is so only relative to â€œtraditionalâ€ computing of the past several years. Looking back further to the time-sharing era, many of these problems already received attention. On the other hand, we argue that two facets are to some degree new and fundamental to cloud computing: the complexities of multi-party trust considerations, and the ensuing need for mutual audit ability.Â
A Graphical Tool Designed to Deploy Wireless Sensors in Homogeneous Grid Selected from Irregular Polygon
Authors: Nitin DR.
Published: May 2018

In this paper, we present a graphical tool, which will help us with algorithms that are used for finding Quality of Service. This tool relates these algorithms to the real world and thus provides a better insight into the actual problems of deploying sensors in a field and finding out whether QoS would be achieved or not. We have used Mathematical Gur Game and its application to deploy the sensors in the homogeneous are, which is selected from the Irregular Polygon.
Rejuvenating Public-Private Partnerships (PPPs) in Asia
Authors: Bhatia Dr. (Mrs) Satinder
Published: May 2018

Infrastructure-building has become a focus area in Asia as targeted GDP growth rates climb higher.Â  Selection of projects as PPP projects or pure public sector projects has to be done carefully comparing costs and benefits under both scenarios.Â  Such an approach (value for money) is common in the UK and Australia which have considerable experience in PPP projects.
Using 3GPP- A Secure IDS for MANETs
Authors: Garg Monika , Kaur Karanvir , Kaur Simerpreet
Published: May 2018

Mobile Ad hoc NETwork (MANET) is one of the important and unique applications. MANET does not require a fixednetwork infrastructure, every single node works as both a transmitter and a receiver. Nodes communicate directly witheach other when they are both within the same communication range else they can propagate message to neighbor nodesto pass the message. A new intrusion detection system named Enhanced Adaptive Acknowledgement (EAACK) speciallydesigned for MANETs. By the adoption of MRA scheme, EAACK is capable of detecting malicious nodes despite theexistence of false misbehavior report. The results will demonstrate positive performances against Watchdog, TWOACKand AACK in the cases of receiver collision, limited transmission power and false misbehavior report. EAACKdemonstrates higher malicious behavior detection rates in certain circumstances while does not greatly affect the networkperformances. EAACK is designed based on the Digital signature Algorithm (DSA) and RSA. Those techniques havedrawback due to network overhead. We need techniques for security like encryptions, hybrid encryption or sign encryptionto protect our message.
Determination of Optimal Number of Relays Using a New Energy Model for WSN
Authors: Bhattacharya Partha Pratim , Gupta Shilpi , Pal Nupur
Published: May 2018

Wireless Sensor Networks are proving themselves as a boon to the surroundings and its deployment is a prominent area to be considered for minimum energy consumption. In this paper, we have considered deployment of a sensor grid network for 36 and 100 number of sensor nodes. Diagonally opposite nodes are considered to be source and destination. Using a modified energy model, the energy consumption for direct path and that with different number of relays are calculated. The maximum distance up to which direct transmission is possible and the number of required relays for higher transmission distances are then found out.
TAXONOMY FOR WSN SECURITY-A SURVEY
Authors: Chaple Kshitija Ajabrao
Published: May 2018

WSN is one of the dominant and emerging technology that shows great promise forÂ  various application in military, ecological and health related areas.WSN is highly vulnerable to attacks and inclusion of wireless communication technology incurs various types of security threats.WSN requires security measures due to sensitive data and as sensor may operate in hostile unattended environment.WSN suffer from constraints like low computational capability, small memory limited energy resources physical capture susceptibility and insecure wireless communication channel. These create security a challenge in WSN. In this article we provide a survey of security in WSN.We provide an outline with constraints and security requirement and attacks with their counter measures in WSN.
Robust Singular Value Decomposition Algorithm for Unique Faces
Authors: Patel Ibrahim , Kulkarni Raghavendra , Rao Dr.P. Nageswar
Published: May 2018

It has been read and also seen by physical encounters that there found to be seven near resembling humans by appearance .Many a times one becomes confused with respect to identification ofÂ  such near resembling faces when one encounters them. TheÂ  recognitionÂ  ofÂ  familiarÂ  facesÂ  playsÂ  aÂ  fundamentalÂ  roleÂ  inÂ  ourÂ  social interactions. HumansÂ  areÂ  ableÂ  toÂ  identifyÂ  reliablyÂ  aÂ  largeÂ  numberÂ  ofÂ  facesÂ  and psychologistsÂ  areÂ  interestedÂ  inÂ  understandingÂ  theÂ  perceptualÂ  andÂ  cognitive mechanismsÂ  atÂ  theÂ  baseÂ  ofÂ  theÂ  faceÂ  recognitionÂ  process. As it is needed that an automated face recognition system should be faces specific, it should effectively use features that discriminate a face from others by preferably amplifying distinctive characteristics of face. Face recognition has drawn wide attention from researchers in areas of machine learning, computer vision, pattern recognition, neural networks, access control, information security, law enforcement and surveillance, smart cards etc. The paper shows that the most resembling faces can be recognized by having a unique value per face under different variations. Certain image transformations, such as intensity negation, strange viewpoint changes,Â  andÂ  changesÂ  inÂ  lightingÂ  directionÂ  canÂ  severelyÂ  disruptÂ  humanÂ  face recognition. It has been said again and again by research scholars that SVD algorithm is not good enough to classify faces under large variations but this paper proves that the SVD algorithm is most robust algorithm and can be proved effective in identifying faces under large variations as applicable to unique faces. This paper works on these aspects and tries to recognize the unique faces by applying optimized SVD algorithm.
Analysis of MAC Protocol for Reliable Broadcast
Authors: Savita Savita , Anjali Anjali , Singh Gurpal
Published: May 2018

In wireless communication It is important to find a reliable broadcasting protocol that is especially designed for an optimum performance of public-safety and data travelling related applications. Using RSU and OBU, there are four novel ideas presented in this research work, namely choosing the nearest following node as the network probe node, headway-based segmentation, non-uniform segmentation and application adaptive. The integration of these ideas results in a protocol that possesses minimum latency, minimum probability of collision in the acknowledgment messages and unique robustness at different speeds and traffic volumes. Wireless communications are becoming the dominant form of transferring information,and the most active research field. In this dissertation, we will present one of the most applicable forms of Ad-Hoc networks; the Vehicular Ad-Hoc Networks (VANETs). VANET is the technology of building a robust Ad-Hoc network between mobile vehicles and each other, besides, between mobile vehicles and roadside units.
ANALYSIS OF SOM & SOFM TECHNIQUES USED IN SATELLITE IMAGERY
Authors: Sharma Rachita , Dubey Sanjay Kumar
Published: May 2018

This paper describes the introduction of Supervised and Unsupervised Techniques with the comparison of SOFM (Self Organized Feature Map) used for Satellite Imagery. In this we have explained the way of spatial and temporal changes detection used in forecasting in satellite imagery. Forecasting is based on time series of images using Artificial Neural Network. Recently neural networks have gained a lot of interest in time series prediction due to their ability to learn effectively nonlinear dependencies from large volume of possibly noisy data with a learning algorithm. Unsupervised neural networks reveal useful information from the temporal sequence and they reported power in cluster analysis and dimensionality reduction. In unsupervised learning, no pre classification and pre labeling of the input data is needed. SOFM is one of the unsupervised neural network used for time series prediction .In time series prediction the goal is to construct a model that can predict the future of the measured process under interest. There are various approaches to time series prediction that have been used over the years. It is a research area having application in diverse fields like weather forecasting, speech recognition, remote sensing. Advances in remote sensing technology and availability of high resolution images in recent years have motivated many researchers to study patterns in the images for the purpose of trend analysis
SW-SDF based privacy preserving data classification
Authors: P Kiran , N. P. Kavya
Published: May 2018

The core objective of privacy preserving data mining is to preserve the confidentiality of individual even after mining. The basic advantage of personalized privacy preservation is that the information loss is very less as compared with other privacy preservation algorithms. These algorithms how ever have not been designed for specific mining algorithms. SW-SDF personalized privacy preservation uses two flags SW and SDF. SW is used for assigning a weight for the sensitive attribute and SDF for sensitive disclosure which is accepted from individual. In this paper we have designed an algorithm which uses SW-SDF personal privacy preservation for data classification. This method ensures privacy and classification of data.
STUDENTS LEARNING PATHS AS ˜'DYNAMIC ENCEPHALOGRAPHS' OF THEIR COGNITIVE DEVELOPMENT
Authors: Patsiomitou Stavroula
Published: May 2018

The current study presents excerpts of my PhD thesis in which I developed a 'dynamic' hypothetical learning path (DHLP) with regard to student's cognitive development. The aim was to investigate if they would raise their van Hiele levels during and after participation in the research process. Students interacted using the interaction techniques of the Geometer's Sketchpad software and the transformations of its dynamic representations. Moreover, the role of linking visual active representations (LVARs) in the software and the role of students' instrumental decoding in the cognitive process have been investigated. Finally, examples of students learning paths, like 'dynamic' encephalographs'of their cognitive development, will be presented.
Image Steganography Based On Optimal LSB Pixel Adjustment Method
Authors: T V S Gowtham Prasad , Varadarajan Dr. S , Jilani Dr. S.A.K , Kodandaramaiah Dr. G N
Published: May 2018

Now a days, internet becomes major channel for communicating information one place to other such as text, image, audio, video data. Steganography is a technique in which information can to be communicating secretly by hiding in another such as secondary information with changing its significance. This paper presents a new approach of image steganography using polynomial based optimal LSB and pixel adjustment method. This method main focus on adaptiveness of LSBâ€™s replacement and pixel adjustment for improving the capacity of hiding data and robustness of steganography. Objective analysis is done over the proposed method using MSE, PSNR and Normalized correlation method.
A Comprehensive review of Artificial Bee Colony Algorithm
Authors: Balasubramani Kamalam , Marcus Karnan
Published: May 2018

The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method proposed by Karaboga in the year 2005. ABC algorithm is simple and very flexible when compared to other swarm based algorithms. This method has become very popular and is widely used, because of its good convergence properties. The intelligent foraging behavior of honeybee swarm has been reproduced in ABC.Numerous ABC algorithms were developed based on foraging behavior of honey bees for solving optimization, unconstrained and constrained problems. This paper attempts to provide a comprehensive survey of research on ABC. A system of comparisons and descriptions is used to designate the importance of ABC algorithm, its enhancement, hybrid approaches and applications.
VIABLE NETWORK INTRUSION DETECTION ON WIRELESS ADHOC NETWORKS
Authors: Praveena Nutakki , A. Lanjewar Dr. Ujwal , Babu Chilakalapudi Meher
Published: May 2018

Control architecture for resource allocation in satellite networks is proposed, along with the specification of performance indexes and control strategies. The latter, besides being based on information on traffic statistics and network status, rely upon some knowledge of the fading conditions over the satellite network channels. The resource allocation problem consists of the assignment, by a master station, of a total available bandwidth among traffic earth stations in the presence of different traffic types. Traffic stations are assumed to measure continuously their signal fade level, but this information may either be used only locally or also communicated to the master station. According to the information made available on-line to the master station on the level of the fading attenuation of the traffic stations, the assignment can be made static, based on the a priori knowledge of long-term fading statistics, or dynamic, based on the updated measurements. In any case, the decisions can be adapted to slowly time-varying traffic characteristics. At each earth station, two basic traffic types are assumed to be present, namely guaranteed bandwidth, real-time, synchronous data (stream traffic), and best effort traffic (datagram traffic). Numerical results are provided for a specific architecture in the dynamic case, in a real environment, based on the Italian satellite national coverage payload characteristics.
Implementation of Brain Tumor Segmentation in brain MR Images using K-Means Clustering and Fuzzy C-Means Algorithm
Authors: Gupta Ms. Pritee , Shringirishi Ms Mrinalini , Singh Dr.yashpal
Published: May 2018

This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life-threatening because of its character in the limited space of the intracranial cavity (space formed inside the skull). Most Research in developed countries show that the number of people who have brain tumors were died due to the fact of inaccurate detection. Generally, CT scan or MRI that is directed into intracranial cavity produces a complete image of brain. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method of detection resists the accurate determination of stage & size of tumor. To avoid that, this work uses computer aided method for segmentation (detection) of brain tumor based on the k.means and fuzzy c-means algorithms. This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis.
Performance Comparison Between Various Tuning Strategies: Ciancone, Cohen Coon & Ziegler- Nicholas Tuning Methods
Authors: Kumar Ashok , Morya Rajbir , Vashishath Dr. Munish
Published: May 2018

This paper, explains about the background study of the coupled tank and to model such tanks using Simulink blocks. It must explains, the coupled tanks are used to select the best tuning strategy for PID controller based on its performance and stability, and then the best tuning controller is obtained after comparing various tuning strategies like Ciancone, Cohen Coon & Ziegler- Nicholas tuning methods based on their performance in controlling the couple tanks.Â The couple tank is then designed on Simulink as well and three different tuning methods for PI & PID controller calculations are implemented. The controller which gives best performance corresponding their tuning parameters which is obtained from various tuning method, and then selected.
MVICS: a Repository and Search Tool towards Holistic Semantic-Based Precise Component Selection
Authors: Liu Xiaodong , Li Chengpu
Published: May 2018

Driven by the continuous expansions of software applications and the increases in component varieties and sizes, the so-called component mismatch problem has become a more severe hurdle for component selection and integration. Although many component repositories and search tools have been proposed, so far there is no satisfactory solution which simultaneously achieves the following goals: automated, semantic-based, and precise. This paper presents a novel component repository and associated search tool which implements holistic semantic-based and adaptation-aware component specification and retrieval. The repository and tool is based on a Multiple-View and Interrelated Component Specification ontology model (MVICS), which has a smooth integration with domain related software system ontologies. The MVICS provides a formally defined and ontology-based architecture to specify components automatically in a spectrum of perspectives. The integration enhances the function and application scope of the MVICS model by bringing domain semantics into component specification and retrieval. The repository and search tool contributes to the current state of the art with four unique features: ontology-based component specification mechanism, semantic-based component retrieval method, adaptive component matching, and a comprehensive result component profile. The repository and tool has been widely tested and evaluated via its online version and follow-on survey reports, which concluded that they are effective for avoiding the component mismatch problem and is promising for industrial use.
An Overview Of Virtualization
Authors: Singh Er.Gursimran , Bhathal Er.Gurjit Singh
Published: May 2018

This paper presents an overview of virtualization .The first part covers the various Virtualization approaches. The second part covers the requirements for virtualization and its working. The third part covers its applications. In the final part the challenges and security issues are discussed. Â
Mobile Ad Hoc Networks: Comparasion of Multipath Routing Protocols with Unipath Routing Protocols
Authors: Gangwar Sanjeev
Published: May 2018

The latest technology MANETs is being studied widely and attracting a large variety of applications. Due to varying network topology, The most common challenging factor in MANET is routing [1][2]. Future applications of MANETs are expected to be based on all-IP architecture and be capable of carrying multitude real-time multimedia applications such as voice and video as well as data. It is very necessary for MANETs to have an efficient routing and quality of service (QoS) mechanism to support diverse applications. In this research paper, we study theÂ  various unipath routing protocols such as DSDV, WRP,GSR,FSR,AODV,DSR,CBRPÂ  and various Multipath routing protocols such as AOMDV,SMR,AODVM,MSR.
Privacy Preserving Data Mining using Attribute Encryption and Data Perturbation
Authors: Vishnoi Meenakshi , K. R Seeja
Published: May 2018

Data mining is a very active research area that deals with the extraction of Â knowledge from very large databases. Data mining has made knowledge extraction and decision making easy. The extracted knowledge could reveal the personal information , if the data contains various private and sensitive attributes about an individual. This poses a threat to the personal information as there is a possibility of misusing the information behind the scenes without the knowledge of the individual. So, privacy becomes a great concern for the data owners and the organizations Â as none of the organizations would like to share their data. To solve this problem Privacy Preserving Data Mining technique have emerged and also solved problems of various domains as it provides the benefit of data mining without compromising the privacy of an individual. This paper proposes a privacy preserving data mining technique the uses randomized perturbation and cryptographic technique. The performance evaluation of the proposed technique shows the same result with the modified data and the original data.
Back Radiation Suppression in Modified Aperture Coupled Microstrip Antenna by using patches under the substrate
Authors: Sharma Richa , Kaur Ms. Amanpreet , Khanna Dr. Rajesh
Published: May 2018

A microstrip slot antenna for C Band has been proposed with compact structure and suppressed back radiation. In this paper, the feeding technique used is aperture coupling with a modification that patches and the feed line are positioned below the substrate and the slot is etched above the substrate. The position of the patches along the slot axis is kept at the negative peak of the standing wave distributions to generate the voltage null on the slot line so as to have a 180Âº phase shift in the centre of the patch hence achieving better front to back ratio. Also the gain of 6.774dB is achieved in this design. The results are validated by simulation measurements.
Predilection of Reusability over Maintainability in Aspect-Oriented Systems
Authors: Chaudhary Ritika , Chatterjee Ram
Published: May 2018

Maintenance is the important phase in software development lifecycle which initiates after the software has been deployedÂ for use. Reusability is an important area of concern which depicts the extent to which a module can be used again inÂ different applications with slight or no modification. Maintainability is one of the contributing factors for assessingÂ Reusability. So, assessment of Reusability is preferred over Maintainability.Â This paper has been split into Introduction, Role of Maintainability, Role of reusability and conclusion. In the introduction section the concept that how the software evolves has been discussed. The second section focuses on the Role ofMaintainability. The third second emphasizes on the Role of Reusability within the domains of Object-OrientedÂ Programming and Aspect-Oriented Programming. In the last section we have concluded that assessment of ReusabilityÂ must be given more preference over the assessment of Maintainability.
Fault Tolerant Event Detection in Distributed WSN via Pivotal Messaging
Authors: Gupta Chhavi , Sharma Rashmi , Agarwal Neha , Singh Yashwant
Published: May 2018

To mitigate the problem of loosing data, which can be very crucial to prevent environmental disasters, we proposed a faultÂ tolerant event detection algorithm in a distributed environment. We considered the data loss because of node failure inÂ sensor network due to some technical fault or energy issues. This algorithm works by backing up the data of cluster headsÂ at some secondary nodes. If the secondary node that is backup cluster head notices the failure of primary or vital clusterhead,Â it will inform this to all non cluster-head nodes through pivotal messages. Subsequently, backup cluster-head willÂ start working as vital cluster-head with new backup cluster-head. We have taken all parameters with the promising optimalÂ use of energy. We have compared our results with the existing Dynamic Static Clustering Protocol (DSC) and fault toleranÂ Dynamic Clustering Protocol (FT-DSC). We have compared results on the basis of various parameters like energyÂ consumption over time, number of data packet transmission and network life time based on network remaining energy.
A review on working models of packet filtering in firewall technology
Authors: Kaur Er. Gurvinder , Panda Dr. S. N. , Dhaliwal Dr.D.S.
Published: May 2018

The goal of packet filtering in firewall technology is to sort packets based on packet characteristics. This paper represents the survey on various working models of packet filtering in firewall technology.
A Novel Method for Intrusion Detection Based on SARSA and Radial Bias Feed Forward Network (RBFFN)
Authors: Chaturvedi Anshul , Richharia Prof. Vineet
Published: May 2018

The Internet, computer networks and information are vital resources of current information trend and their protection has increased importance in current existence. Any attempt, successful or unsuccessful to finding the middle ground the discretion, truthfulness and accessibility of any information resource or the information itself is measured a security attack or an intrusion. Intrusion compromised a loose of information credential and trust of security concern. The mechanism of intrusion detection faced a problem of new generated schema and pattern of attack data. Various authors and researchers proposed a method for intrusion detection based on machine learning approach and neural network approach all these compromised with new pattern and schema. Now in this paper a new model of intrusion detection based on SARAS reinforced learning scheme and RBF neural network has proposed. SARAS method imposed a state of attack behaviour and RBF neural network process for training pattern for new schema. Our empirical result shows that the proposed model is better in compression of SARSA and other machine learning technique.
A PREDICTIVE CODING METHOD FOR LOSSLESS COMPRESSION OF IMAGES
Authors: Mishra Anil , Shiwani Ms. Savita
Published: May 2018

Images are an important part of today's digital world. However, due to the large quantity of data needed to represent modern imagery the storage of such data can be expensive. Thus, work on efficient image storage (image compression) has the potential to reduce storage costs and enable new applications.This lossless image compression has uses in medical, scientific and professional video processing applications.Compression is a process, in which given size of data is compressed to a smaller size. Storing and sending images to its original form can present a problem in terms of storage space and transmission speed.Compression is efficient for storing and transmission purpose.In this paper we described a new lossless adaptive prediction based algorithm for continuous tone images. In continuous tone images spatial redundancy exists.Our approach is to develop a new backward adaptive prediction techniques to reduce spatial redundancy in a image.The new prediction technique known as Modifed Gradient Adjusted Predictor (MGAP) is developed. MGAP is based on the prediction method used in Context based Adaptive Lossless Image Coding (CALIC). An adaptive selection method which selects the predictor in a slope bin in terms of minimum entropy improves the compression performance.
Ontology Mapping using Fuzzy Decision Tree and Formal Concept Analysis
Authors: Shenoy Manjula , Shet Dr. K.C. , Acharya Dr. U. Dinesh
Published: May 2018

An ontology describes and defines the terms used to describe and represent an area of knowledge. Different people or organizations come up with their own ontology; having their own view of the domain. So, for systems to interoperate, it becomes necessary to map these heterogeneous ontologies.This paper discusses the state of the art methods and outlines a new approach with improved precision and recall. Also the system finds other than 1:1 relationships.
Exponential two step approach for Time Domain based Software Process Control
Authors: Prasad Dr. R.Satya , Mohan S. Murali , Mohan G.Krishna
Published: May 2018

Software Reliability Growth Model is a mathematical model of how the software reliability improves as faults are detected and repaired. In this paper we propose a control mechanism based on the cumulative quantity between observations of time domain failure data using mean value function of Goel-Okumoto model, which is based on Non Homogenous Poisson Process. The model parameters are estimated by a two step approach. Software reliability process can be monitored efficiently by using Statistical Process Control. Control charts are widely used for process monitoring. It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability.Â
FACE RECOGNITION USING FUZZY INFERENCE SYSTEM
Authors: Paika Vishal , Bhambri Er. Pankaj
Published: May 2018

The face is the feature which distinguishes a person. Facial appearance is vital for human recognition. It has certain features like forehead, skin, eyes, ears, nose, cheeks, mouth, lip, teeth etc which helps us, humans, to recognize a particular face from millions of faces even after a large span of time and despite large changes in their appearance due to ageing, expression, viewing conditions and distractions such as disfigurement of face, scars, beard or hair style. A face is not merely a set of facial features but is rather but is rather something meaningful in its form.In this paper, depending on the various facial features, a system is designed to recognize them. To reveal the outline of the face, eyes, ears, nose, teeth etc different edge detection techniques have been used. These features are extracted in the term of distance between important feature points. The feature set obtained is then normalized and are feed to artificial neural networks so as to train them for reorganization of facial images.
Comparison of Various Window Functions Used in FIR Filter Designing
Authors: Jain Shruti , Verma Mr.Dinesh Kumar
Published: May 2018

In this study, 2-parameter cosh window is modified to improve its spectral characteristic in terms of the ripple ratio by proposing a new additional parameter. It is observed that an increase in the new parameter results in wider mainlobe width and smaller ripple ratio. By choosing the suitable combinations of the two adjustable parameters for the proposed modified window, the optimum windows that yield the minimum ripple ratio for N=51 and N=101 are .found. Simulation results show that the filters designed by proposed 3-parameter Cosh window provide higher quality in terms of the minimum stop-band attenuation for a fixed order, and yield lower order for a fix minimum stop-band attenuation compared to the filters designed by other windows.
A Scheduling Approach to Achieve Green Cloud Solution Based on Internet of Things
Authors: Faridi M. Shakeel , Abid M. Haris , Ahmed Mudassar , Ngadi Dr. Md Asri Bin
Published: May 2018

Internet usage is rapidly increasing in every field of life. Internet coverage is wide either it is textile, pharmaceutical or education sectors. In every sectors where internet envisions are exist, there objects must be connected with each other. When we discussed the objects are connected with each other, a word internet of things (IoT) must exist there. IoT covers iPads, mobile phones, digital camera etc. These devices provide us our basic needs when they connected each other. Sharing of services or concept of virtualization is also part of IoT and also called cloud computing. Cloud computing is said to be sharing of services or resources using internet as a connection. Cloud based resources can be distributed all over the world. It is among most popular technology in developed countries and they are trying to made green solution of its resources. Datacenters of cloud computing systems are wasting a terrific amount of energy, hence emits carbon dioxide. Under developed counties like Pakistan where financial and energy issues are common in every sector especially in education where IT utilizations are increasing day by day. Although concept of cloud computing are exist there but there is no awareness of green solution. In this paper, we suggested a scheduling approach for efficient resource management which can be helpful for green solution at universities of Faisalabad, Pakistan. This approach can be helpful to boost up concept of cloud and green cloud computing.Â
Overview of OLAP cubes, importance, build Considerations and querying with MDX.
Authors: Devangavi Anil Dundappa , Aggarwal Dr Puneet
Published: May 2018

An OLAP cube is a method of storing data in a multidimensional form, generally for reporting purposes. The purpose of an OLAP cube is to store data in such a way that an end user can slice and dice through the data and the storage structure itself (multidimensional) while allowing for very fast access to the data. Cubes are characterized by dimensions and measures. Dimensions refer to how the data is organized and are usually made up of character fields which tell us about the data. Measures, on the other hand, are those elements in the data which quantify something (a number) and can usually be additive . The business intelligence industry uses the word "cube" because it best describes the resulting data. The query language used to interact and perform tasks with OLAP cubes is multidimensional expressions (MDX).In this paper an attempt is made to give the overview, importance and build considerations of Olap cubes. Also querying of OLAP cube with MDX is discussed.
A Review of Feature Reduction in Intrusion Detection System Based on Artificial Immune System and Neural Network
Authors: Vishwakarma Uma , Jain Prof. Anurag , Jain Prof. Akriti
Published: May 2018

Feature reduction plays an important role in intrusion detection system. The large amount of feature in network as well as host data effect the performance of intrusion detection method. Various authors are research proposed a method of intrusion detection based on machine learning approach and neural network approach, but all of these methods lacks in large number of feature attribute in intrusion data. In this paper we discuss its various method of feature reduction using artificial immune system and neural network. Artificial immune system is biological inspired system work as mathematical model for feature reduction process. The neural network well knows optimization technique in other field. In this paper we used neural network as feature reduction process. The feature reduction process reduces feature of intrusion data those are not involved in security threats and attacks such as TCP protocol, UDP protocol and ICMP message protocol. This reduces feature-set of intrusion improve the classification rate of intrusion detection and improve the speed performance of the intrusion detection system. The current research going on fixed and static number of feature reduction, we proposed an automatic and dynamic feature reduction technique using PCNN network.
Synthesis and studies of complex compounds of carboxyl-derivatives of methylphloroglucinol with metals
Authors: Kovalchukova Olga , Absalan Yahya , Bobylev Sergey , Kuznetsov Dmitry , Kobrakov Konstantin
Published: May 2018

Ten new complexes of 2,4,6–trihydroxy-3-methyl benzoic acid (methylphloroglucinol, L1) and 2,4,6–trihydroxy benzoic acid (phloroglucinol, L2) are isolated in the solid state, and their formulae were detected.The spectroscopic methods indicate that the coordination of  L1 and L2 to the metallic ions occurs through one of the O-atom of the deprotonated carboxylic group and an O atom of the non-deprotonated neighboring hydroxy-group (bidentate chelating coordination). The schemes of the structure of complexes are proposed.The complex formation in solution is studied, and formation constants are calculated. It is shown that for the metal complexes of the 1st transitional series, the formation constants for the complexes are arranged as Mn(II) < Co(II) < Ni(II) < Cu(II) > Zn(II). The obtained results correlate with the Irving-Williams Series.
Hydrothermal Synthesis, Characterization and Photoluminescent Properties of a New Vanadium Substituted Keggin Assembly Supported by Ni Complex
Authors: Soussi Imen , Aoun Sameh , Planchat Aurelien , Akriche Samah
Published: May 2018

A new monosubstituted vanadium Keggin-type tungstophosphate derivative, [Ni(phen)3]2[PVW11O40].4H2O  (phen = 1,10’-phenanthroline), has been hydrothermally synthesized and characterized by powder and single-crystal XRD methods, scanning electron microscopy (SEM), IR, UV-Vis and photoluminescence spectroscopy measurements. X-ray diffraction analysis reveals that the compound crystallizes in the monoclinic system with space group C2/c with a = 19.659 (2) Å, b = 18.054 (3) Å, c = 25.227 (4) Å and β = 100.63 (2)° and its crystal packing displays alternating [PV1W11O40(H2O)4]n4- ribbons extending along [110] and [10] respectively at z = 0 and z = ½. These ribbons are extended into a 3D supramolecular framework by hydrogen-bonding interactions generating vacant 1D-channels along c-axis leading to anchorage of transition metal complexes. Moreover, the electronic properties and the optical band gaps have also been investigated well confirming the semiconductor behavior and photoluminescent property of reported material.
Protective effect of Ruta Chalepensis L. extract on oxidative stress and liver-kidney function induced by polymicrobial sepsis in rats
Authors: Kacem Mohamed , Simon Gaëlle , Elleuch Aïda , Ayadi Fatma Makni , Boudawara Tahia , Elfeki Abdelfattah
Published: May 2018

Sepsis, a systemic inflammatory disease developed after an infectious insult and remains the major cause of death in intensive care units. The aim of this study was to examine the protective effect of the ethanolic extract of Ruta chalepensis L. (ERC) against oxidative stress and liver-kidney functions in cecal and ligation puncture (CLP) rats. In vitro, the results showed that ERC rich in phenolic compounds possessed important antioxidant activity. In vivo, CLP-induced oxidative stress evidenced by the increase of the TBARS and decrease in the enzymatic antioxidants (SOD, CAT, GPX) in liver and kidney. Moreover, CLP induced liver-kidney toxicities showed by an increase in the ALT, AST, PAL, LDH, BUN and creatinine in the plasma. However, the administration of ERC to CLP-rats prevents all these disorders. Positive action of ERC was confirmed by histo-pathological examination. Therefore this study suggests that ERC could be a potential therapeutic agent for sepsis treatment.
Optical, electrical properties and OH group adsorption of deposits electrolysis
Authors: Bouazizi N. , Slama Romdhane Ben , Chaouachi Bechir
Published: May 2018

An electrochemical method, using electrical energy, decompose water into hydrogen and oxygen, which is more important to pH values varying between the intervals {7.9 - 14} and {2-6 - 5}, a degree of salinity lower than 90 g/L and greater than 130 g/L. While the formed film and the resultant powders were characterized by FTIR, UV- Visible and complex impedance. Thus we see that the electrolysis of water causes a change in the stretching vibrations υOH, namely the presence of Cu-O vibration (solid 520-630 cm-1). A spectral shift in the OH absorption band which is a positive indicator of the interaction of the metal particles dispersed in the electrolyte. Comparison of measurements of the value of pH of the electrolyte showed that acid pH values which increase, which is not the case for basic media and which shows a decrease. A peak of UV-visible absorption at 220 nm was recorded for the solution after production, pH = 8, and two bands at 320 and 360 nm due to hydroxyl compounds that are detected. Furthermore, the complex impedance diagrams show capacitive loops at the high frequency domain, and relaxation process of the electrolyte for different pH values.
Influence of green tea extract on corrosion of different metals in 0.5 mol dm-3 NaCl solution
Authors: Vrsalović Ladislav , Sardelić Dijana , Gudić Senka , Kliškić Maja
Published: May 2018

The corrosion behavior of copper, aluminum and stainless steel AISI 316L in 0.5 mol dm-3 NaCl solution without and with the addition of an aqueous-ethanol extract of green tea leaves at a temperature of 25 °C was investigated. Electrochemical parameters where determined by linear polarization measurements and potentiodynamic polarization method, and the surface of the metal samples were investigated using an optical microscope after the polarization measurements. Results have shown that green tea extract acts as a corrosion inhibitor for copper aluminum and stainless steel.
Organic Amino Acids Chelates; Preparation, Spectroscopic Characterization and Applications as Foliar Fertilizers
Authors: El-Tabl Abduo S. , El-Kousy S. , Wahba M. A. , Khalefa S. M.
Published: May 2018

Cu(II) complexes of amino acid hydrolyzate soya protein isolate have been prepared. In order to study the mode of coordination in the above chelates and their effect as foliar fertilizer, Mn(II), Co(II), Nil(II), Cu(II), Zn(II) and Cd(II) complexes of  L-mino acids have been prepared and characterized by elemental and spectral analyses,( IR, UV-VIS, mass spectra and ESR), electrical conductance, magnetic moments and thermal analyses (DTA and TGA). ESR spectra of copper (II) complexes show isotropic and anisotropic types d(x2-y2) with covalent bond character. The amino acids chelates were evaluated as foliar fertilizer by treating plants with micronutrient, amino acid solutions and varying concentrations of micronutrient amino acids chelats. It was found that spraying plant with 2.5% micronutrient amino acids chelats gives the best results regarding: plant height, stem diameter, leaves area, number of flowers, number of branches per plants and total yield per plant.
Determination of Lead and Cadmium in Sugar and Cement Industry Effluents of North Karnataka
Authors: Balappanavar Vinayak , Hiremath Shivalingayya , Mathapati Shivanand , Hiremath Danesh , Yadawe M.S. , Pujeri U.S , Pujar A.S. , Hiremath S.C.
Published: May 2018

The  aim of this study is to assess the extent of lead and cadmium contamination in effluent released from sugar and Cement Industries in north Karnataka. Physicochemical analysis of effluent reveals that the concentration of lead (0.05mg/l)and cadmium(0.01mg/l) is greater than the permissible limit. The effluent as well as contaminated water is extensively used for the irrigation and drinking purposes in the surrounding areas. Several studies of heavy metal constituents in molasses and other sugars have been conducted.
EFFECT OF EXTRACTION SYSTEM AND REFINING ON THE STEROL COMPOSITION OF POMACE-OLIVE OILS
Authors: ESSID Kamel , TRABELSI Mahmoud , FRIKHA Mohamed Hédi
Published: May 2018

Research has been carried out to ascertain the effects of refining and different processing systems on the sterol compositions of pomace-olive oils and especially on the Δ-7-stigmastenol. The International Olive Council imposes limits or ranges for each type of sterol based on the natural levels found in traditional olive oil varieties. The required sterol profile (as % of total sterols) is for the ∆-7-stigmastenol 0.5%. A high content of this compound is non-in compliance with the International Olive Oil Standards and is at the origin of major problems at the level of the exportation because it gives the impression of the presence of seed oil in this olive oil.

The sterol composition of the refined pomace-olive oils is non-in conformity with these international standards, because the percentage of Δ-7-stigmastenol exceeds slightly the tolerated limits. This percentage is more important mainly when extraction of oil is with the continuous chain. In refining, the neutralization step is with soda. The content of this compound remain invariable after neutralization by lime.
Effect of the Mg/Al ratio and of the rate of reinforcement on the synthesis of a nanocomposite Cellulose/Hydrotalcite
Authors: Bennani Mohammed Naciri
Published: May 2018

The objective of this work is to synthesize a nonmaterial by introducing synthetic clay (hydrotalcite) as a nanofiller in a natural polymer matrix (cellulose) and to study the effect of Mg/Al ratio and the rates of reinforcement.Cellulose fibers were extracted from ‘Yucca‘ tree’s leaves by a chemical treatment and Hydrotalcite (MgAlCO3) was synthesized by the method of co-precipitation at fixed pH with a ratio of Mg/Al=2 or 3.The composite materials were elaborated by microwave activation.The Hydrotalcites with an Mg/Al ratio = 2 or 3 were tested as well as various rates of reinforcement (2, 5 or 10% Hydrotalcite) in order to optimize conditions of obtaining a nanomaterial. The structures of obtained materials were characterized by IR spectroscopy, X-ray Diffraction and Transmission Electron Microscopy. The thermal stability was analyzed by TG-DTA analyses.The characterizations carried out on these compounds revealed structural modifications in agreement with the formation of a nanomaterial (cellulose/Hydrotalcite) with the improved thermal properties.
Adsorption and desorption of three carbamate pesticides by illite, kaolinite and humic acid-clay complexes
Authors: Bansal O. P.
Published: May 2018

In soils organic matter and clay minerals are often so associated that it is not clear that how the presence of organic matter influences the sorptive process of clay minerals.  So, in order to factor and quantify component contributions of mineral fractions and humic acid phase to the sorption of pesticides on clay minerals, adsorption and desorption of three carbamate pesticides oxamyl (I), S-Ethyl-N-(methyl carbamoyl)-oxythio acetimidate (II) and N-Phenyl (ethyl cabamoyl) propylcarbamate (III) by Na+, Ca2+ saturated illite, kaolinite and humic acid-clay complexes were investigated by batch experiments. The adsorption was more on illite than kaolinite and followed the order pesticide III > I > II, adsorption on Na-saturated clay samples was more than Ca-saturated. The presence of humic acid enhances the pesticide adsorption. A composite model for estimating pesticide adsorption, which assumes mineral and organic matter fraction individually as adsorbent phases, predicted sorption within a factor of 0.75-1.4 times the measured value. The desorption data indicated that humic acid retains more pesticide than clay mineral. XRD patterns showed that humic acid is restricted to the external surfaces of clay tactoids, denoting that clay mineral fractions in soils including those with organic coatings play an important role in the retention of polar carbamate pesticides.
The influence of green modification of lignin on the electrochemical properties of biocomposites for industrial applications
Authors: Ahmed Rasha A. , Kader Amal H. Abdel , Fekry Amany M.
Published: May 2018

It’s a report on a novel approach; preparation and electrochemical properties of modified lignin. Wax and starch were used as natural, green adhesives for enhancing the electrical resistivity of lignin in acidic medium, forming eco-friendly high insulator biocomposite. Scanning electron microscopy (SEM) was used to characterize the fabricated biocomposite. The modified lignin was characterized using Fourier transform infrared (FTIR), while the electrochemical behavior was examined by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The innovative approach described in this work provides a promising eco- friendly method for lignin modification with highly electrical resistivity and stability with time.