bluuebunny/crossref_metadata_2025 huggingface dataset:
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.
GOAL PROGRAMMING APPROACH TO CHANCE CONSTRAINED MULTI-OBJECTIVE LINEAR FRACTIONAL PROGRAMMING PROBLEM BASED ON TAYLORâ€™S SERIES APPROXIMATION
Authors: Banerjee Durga , Pramanik Surapati
Published: May 2018

This paper deals with goal programming approach to chance constrained multi-objective linear fractional programming problem based on Taylorâ€™s series approximation. We consider the constraints with right hand parameters as the random variables of known mean and variance. The random variables are transformed into standard normal variables with zero mean and unit variance. We convert the chance constraints with known confidence level into equivalent deterministic constraints. The goals of linear fractional objective functions are determined by optimizing it subject to the equivalent deterministic system constraints. Then the fractional objective functions are transformed into equivalent linear functions at the optimal solution point by using first order Taylor polynomial series. In the solution process, we use three minsum goal programming models and identify the most compromise optimal solution by using Euclidean distance function.
Performance quantification of Wireless Sensor Networks by implementing ZRP
Authors: Singh Barjinder , Chawla Rishma
Published: May 2018

sensor network is composed of a largenumber of autonomous sensor nodes, which are denselydeployed in the area of interest i.e either inside thephenomenon or very close to it. Routing is an importantoperation, being the foundation of data exchangingbetween wireless devices.Zone Routing Protocol was thefirst hybrid routing protocol with both a proactive and areactive routing component. ZRP was proposed to reducethe control overhead of proactive routing protocols anddecrease the latency caused by route discovery in reactiverouting protocols. ZRP defines a zone around each nodeconsisting of the numbers of neighbourhood. During myresearch work, I applied the hybrid routing protocol inwireless sensors and measure the correspondingperformance of the network in terms of overhead, delayand throughput.[10]
A Mobile Technology for Hazard Management System
Authors: Kumar Ajay , Battan Amit Kumar , Rahul Kumar
Published: May 2018

The Japan is one of the countries in the world vulnerable to natural hazards because of its geographic location. Due to the advances of Internet and mobile technologies, mobile phones with Internet connection and computation capabilities are widely used now a day. The purpose of this paper is to examine the proposed hazard warning mechanism using the Location Based Service technology and a hazard information management system to rapidly distribute warning message in a short time while hazard sites are near the system users.. The disaster management system Android application known as MyDisasterDroid determines the optimum route along different geographical locations that the volunteers and rescuers need to take in order to serve the most number of people and provide maximum coverage of the area in the shortest possible time. Genetic algorithm was applied for optimization and different parameters were varied to determine the most optimum route.
IMPEMENTATION OF DATA WATCHER IN DATA LEAKAGE DETECTION SYSTEM
Authors: Jagtap N. P. , Patil S. J. , Bhavsar A. K.
Published: May 2018

Now days, every company is facing data leakage. That is very serious problem faced by company. An owner of enterprise has given confidential data to its employee but most of the time employee leaks the data. That leak data found in illegal place such as on the web of comparator enterprise or on laptop of employee of comparator enterprise or the owner of Comparators Companyâ€™s laptop. It May or may not be observed by owner. Leak data may be basic code or design provision, cost lists, rational property and copy rights data, trade secrets, forecasts and budgets. In this case the data leaked out it leaves the company goes in undefended the authority of the corporation. This uninhibited data leakage puts business in a back in position. To find the solution on this problem we develop two models. First, when any employee of enterprise access confidential data without the consent of owner in that case ,we developed data watcher model to identifying data leaker and suppose employee given data outside the enterprise for that we devolved second model for assessing the â€œguiltâ€ of agents. Guilt model are used to improve the probability of identifying guilty third parties.
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
Issues and Emerging Trends in Identity Management
Authors: Snehi Manish , Snehi Jyoti , Dhir Renu
Published: May 2018

In todays digital age as companies are moving more and more amounts of important, sensitive data, information, applications, and infrastructure online there is a need toestablish and maintain credentials on all the connected and disconnected systems, and grant rights or access to users. The main goal is to manage physical and logical resources and relate them to owners. Identity Management is emerging as a significant technology to help in handling the complexity of todays Business companies, dealing with security in thevirtualized environment, strong authentication and dealing with threats from Insiders. This paper attempts to provide direction toward some of the issues, Challenges and Trends in Identity Management. Emerging Trends in Information technology involves identity audit, automated compliance, Role lifecycle management, authorization, Information centric identity, E-SSO and strong authentication, Open ID, Infocards, CardSpace, Governance, Identity management as a service, Risk management, and Compliance Modularity.
Nano Whiskers ..A “BIG” discussion on “SMALL” things..
Authors: Sharma Ruchi
Published: May 2018

Technologyis shrinking fast. Computing technology that would have filled awarehouse 30 years ago can now be squeezed onto a chip a fraction ofthe size of your thumbnail. The very smallest scale of engineering is called nanotechnology. Ananometer is a billionth of a meter, about the width of ten atoms. Nanotechnology may, one day, be capable nanorobotics, nanorobots ornanobots. Working at an almost atomic level, nanobots could buildcomplex items cheaply and repair clothes, equipment and even peoplewithout being noticed. They could also be used to rid the atmosphere ofpollution and to repair holes in the ozone layer.
COORDINATED DISTRIBUTED SCHEDULING IN WIRELESS MESH NETWORK
Authors: Kumari Usha , Shankar Udai
Published: May 2018

IEEE 802.16 based wireless mesh networks (WMNs) are a promising broadband access solution to support flexibility, cost effectiveness and fast deployment of the fourth generation infrastructure based wireless networks. Reducing the time for channel establishment is critical for low latency/interactive Applications. According to IEEE 802.16 MAC protocol, there are three scheduling algorithms for assigning TDMA slots to each network node: centralized and distributed the distributed is further divided into two operational modes coordinated distributed and uncoordinated distributed. In coordinated distributed scheduling algorithm, network nodes have to transmit scheduling message in order to inform other nodes about their transfer schedule. In this paper a new approach is proposed to improve coordinated distributed scheduling efficiency in IEEE 802.16 mesh mode, with respect to three parameter Throughput, Average end to end delay and Normalized Overhead. For evaluating the proposed networks efficiency, several extensive simulations are performed in various network configurations and the most important system parameters which affect the network performance are analyzed
A Study on Knowledge Discovery of Relevant Web Services with Semantic and Syntactic approaches
Authors: Rani Mrs. M. Akila , Shanthi Dr. D.
Published: May 2018

Web mining is the application of data mining techniques to discover patterns from the Web. Web services defines set of standards like WSDL(Web Service Description Language), SOAP(Simple Object Access Protocol) and UDDI(Universal Description Discovery and Integration) to support service description, discovery and invocation in a uniform interchangeable format between heterogeneous applications. Due to huge number of Web services and short content of WSDL description, the identification of correct Web services becomes a time consuming process and retrieves a vast amount of irrelevant Web services. This emerges the need for the efficient Web service mining framework for Web service discovery. Discovery involves matching, assessment and selection. Various complex relationships may provide incompatibility in delivering and identifying efficient Web services. As a result the web service requester did not attain the exact useful services. A research has emerged to develop method to improve the accuracy of Web service discovery to match the best services. In the discovery of Web services there are two approaches are available namely Semantic based approach and Syntactic based approach. Semantic based approach gives high accuracy than Syntactic approach but it takes high processing time. Syntactic based approach has high flexibility. Thus, this paper presents a survey of semantic based and syntactic based approaches of Web service discovery system and it proposed a novel approach which has better accuracy and good flexibility than existing one. Finally, it compares the existing approaches in web service discovery.
Fuzzy Logic Based Advance Speed Control of Induction Motor
Authors: Hore Debirupa
Published: May 2018

The speed control of Induction motor is done using the advance AI Technique methods. In this System the vector control scheme in the stator flux oriented reference frame is used for controlling the variable speed Induction motor. For this the conventional Speed PI controller and Current PI Controllers are tuned and the responses are observed. The Conventional Speed PI Controller is then replaced by the Fuzzy Logic Speed Controller to observe the various responses of the system. The fuzzy Logic Speed Controller is designed and tuned in such a way to obtain better and fast sped responses of the system. Simulation results reveal that the fuzzy-controller improves the performance of variable speed Induction Motor in terms of speed and Power factor
Business Intelligence framework to support Chronic Liver Disease Treatment
Authors: Khedr Ayman
Published: May 2018

Business Intelligence (BI) framework designs the architecture of business intelligence information system which uses expert systems and Artificial Intelligence technology to support clinical decision and draw the strategy against chronic liver disease in Egypt. It makes integrated diagnostic and medical advice bases on the collected patientâ€™s information, providing reference for the clinical medical officers. This paper aims to support decision function and in particular utilization of historical data laboratory and outcome data processed through artificial intelligence tools. The combination of historical data and predictive tools provides valuable information in the hands of physicians as they develop a course of treatment for a patient
Web Client and Web Server approaches to Prevent XSS Attacks
Authors: Snehi Jyoti , Dhir Dr. Renu
Published: May 2018

Websites rely completely on complex web applications to deliver content to all users according to set preferences and specific needs. In this manner organizations provide better value to their customers and prospects. Dynamic websites suffer from various vulnerabilities rendering organizations helpless and prone to cross site scripting attacks. Cross Site Scripting attacks are difficult to detect because they are executed as a background process. Cross Site Scripting is the most common web vulnerabilities in existence today which is most exploited issue .In this paper we have presented various approaches used by clients and Server to prevent XSS attacks
Dynamic Energy Aware Gur Game based Algorithms for Self Optimizing Wireless Sensor Networks
Authors: Nitin Nitin
Published: May 2018

This paper presents, Application of Gur Game Based Algorithm on Wireless Sensor Networks (WSNs) deployed to monitor Homogenous and Heterogeneous Grid in order to achieve Quality of Service (QoS) = 0.40 and 0.50. Further, the objectives of all these algorithms are to maximize the coverage of the sensor area while conserving energy consumed by sensor nodes. This is achieved via carefully activating/deactivating the sensors while maximizing the coverage area.
Fault Tolerant Heterogeneous Limited Duplication Scheduling algorithm for Decentralized Grid
Authors: NITIN DR. , Agarwal Neha , Chauhan Piyush
Published: May 2018

Fault tolerance is one of the most desirable property in decentralized grid computing systems, where computational resources are geographically distributed. These resources collaborate in order to execute workflow applications as fast as possible. In workflow applications, tasks are dependent on each other, so it becomes extremely vital that scheduling techniques should also have some decentralized fault tolerant mechanism. In this paper, we have proposed a decentralized fault tolerant mechanism which utilize the checkpoint concept; for Heterogeneous Limited Duplication (HLD) algorithm. HLD is based on task duplication scheduling in heterogeneous environment. There are two fold benefits firstly; if node failure occurs then rest of grid nodes sustain the execution of application. Secondly, less makespan of application is obtained using checkpoint concept. Therefore, application scheduled over decentralized grid systems (which are known for their unreliable behavior) will yield results fast utilizing algorithm proposed in this paper.
Implementation and Analysis of Clustering Algorithms in Data Mining
Authors: Kaur Prabhjot , Mathur Robin Parkash
Published: May 2018

Data mining plays a very important role in information industry and in society due to the presence of huge amount of data. Organizations in the whole world are already aware about data mining. Data mining is the process which uses various kinds of data analysis tools to obtain patterns which also referred to as knowledge discovery from data. Clustering is called unsupervised learning algorithm as groups are not predefined but defined by the data. There are so many research areas in data mining. This paper is focusing on performance and evaluation of clustering algorithm: K-means, SOM and HAC. Evaluations of these three algorithms are purely based on the survey based analysis. These algorithms are analyzed by applying on the data set of banking which is a very high dimensional data. Performances of these algorithms are also compared with each other. Our results indicate that SOM technique is better than k-means and as good as or better than the hierarchical clustering technique. We have also generated one code in Orange Python which is the enhanced algorithm based on the hybrid approach of SOM, K-means and HAC.
Performance Comparison of IMABN-2 and MALN-2 in Faulty and Non-Faulty Network Conditions
Authors: NITIN Dr.
Published: May 2018

In this paper, we have compared the performance of IMABN-2 and MALN-2. To compare the performance, data packets were passed via both networks in faulty and non-faulty environments. Results show that MALN-2 performs better than the IMABN-2. Cost of IMABN-2 and MALN-2 is also compared with other existing MINs.
Characters Strings are Extracted Exhibit Morphology Method of an Image
Authors: Goel Gaurav , Dhir Dr. Renu
Published: May 2018

In understanding an image, extraction of characters existing in the image is considered to be important. Scene images are different from document images, which are composed of characters and complicated background i.e. photo, picture, or painting etc. instead of white one that makes it difficult to be dealt with. Extraction and localization of scene text are used in many applications. In this paper, we have proposed a connected component based method to extract text from natural images. The proposed method uses colour space processing. Character recognition is done through OCR that accepts the input in form of text boxes, which are generated through text detection and localization stages. The Proposed method is robust with respect to font size, colour, orientation, and style. Results of the proposed algorithm, by taking the real scenes, including indoor and outdoor images, shows that proposed method efficiently extracts and localizes the scene text. In this paper, we have introduced a new method to extract characters from scene images using mathematical morphology.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.
A Model for Improving Classifier Accuracy using Outlier Analysis
Authors: Reddy.D Lakshmi Sreenivasa , Raveendrababu Dr B. , Govardhan Dr A.
Published: May 2018

Anomalies are those records, which have different behavior and do not comply with the remaining records in the dataset. Outlier analysis is the concept to find anomalies in Datasets. Â Detecting outliers efficiently is an important issue in many fields of science, medicine and technology. Many methods are available to detect anomalies in numerical datasets but a limited number of methods available for categorical datasets. In this work, a novel method to detect outliers in categorical data based on entropy is proposed. This algorithm finds anomalies based on each record score and has great intuitive appeal. These scores called BAD scores. This algorithm utilizes the frequency of each value in the dataset. Greedy method needs k- scans of dataset to find â€˜kâ€™ outliers where as the proposed method needs only one scan of dataset and it calculates BAD score of each record directly. It avoids the problem of giving â€˜kâ€™ as an input and can find any number of outliers based on our data set directly.AVF method has less time complexity when compared with the other methods like Greedy, FPOF and FDOD. Greedy has good accuracy when compared with other methods like AVF and FPOF, FDOD (which are based on frequency patterns of all combinations of values in each record). Our algorithm shows better results in accuracy than AVF algorithm and Greedy. But this method has reached nearest to AVF in time complexity.Â  This algorithm has been applied on Nursery dataset and Bank dataset taken from â€œUCI Machine Learning Repositoryâ€. In this work, it is proposed to extend Normal distribution [11], and Fuzzy concept [12] to BAD score [13] that is NAVF combined with Fuzzy AVF is applied to BAD Score. Â Numerical attributes are excluded from Datasets for our analysis. The experimental results show that it is efficient for outlier detection in categorical dataset.
Image Enhancement based on Contrast Enhancement & Fuzzification Histogram Equalization and Comparison with Contrast Enhancement Techniques
Authors: Gupta Shubhanshi , Gupta Ashutosh , Minocha Gagan
Published: May 2018

Contrast Enhancement is a technique which comes into the part of Image Enhancement. Contrast Enhancement is used to enhance the visual quality of any captured or other image. Contrast Enhancement can be performed with the help of Histogram equalization (HE). In this technique, the image is collected in the gray scale allocation. The image is then partitioning and applying adaptive Histogram equalization (AHE). Fuzzy logic provides a set of logics which enhance the contrast and visibility of any image. In this technique, the visual quality and the contrast of image will change and then compare these results with previous techniques. The performance of several established image enhancement techniques is presented in terms of different parameters like Absolute mean brightness error (AMBE), Peak signal to noise ratio (PSNR), contrast and Visual quality.
Review on Free Space Optics
Authors: Thakur Er. Rajeev , Singh Er. Sukhbir , Sharma Er. Abhishek
Published: May 2018

Present era demands high bandwidth with high data rates especially for internet. For high data rates requires high speed transmission medium like optical fiber. To overcome the bottle neck of last mile communication free space optics has emerged as a better option for radio engineers. Using Infrared beams provides license free spectrum, high bandwidth with maximum data rates. In this paper different aspects for utilizing an FSO link are reviewed showing there advantages and disadvantages.Â
Performance Comparison of AODV, OLSR and ZRP Protocol in MANET using Grid Topology through QualNet Simulator
Authors: Singh Vivek Kumar , Kumar Mukesh , Jaiswal A.K. , Saxena Rohini
Published: May 2018

In MANET mobile nodes are communicating through wireless medium and do not require any pre-existent infrastructure. In MANET all mobile nodes behaves as router and when required they takes part in discovery and maintenance of the route to the other node. Without the fixed base station the mobile nodes dynamically exchange data among themselves. Popularity of MANET has been increased because of the availability of license-free wireless communication devices. MANET can be used for disaster-management, business meetings, military operations, rescue operations, or in a situation, where temporary communication network among some nodes is demanded. ZRP is a well known hybrid routing protocol. To understand its suitability we must understand its behavior under various real time conditions. This paper presents performance analysis of AODV routing protocol over OLSR and ZRP routing protocols using QualNet version 6.1. This experiment uses different network conditions, close to real time condition, for the performance analysis of AODV using OLSR and ZRP as a reference protocol. Simulations are carried out to analyze the different network parameters such as throughput, average jitter, average end-to-end delay and packet delivery ratio.
An Evaluation for Model Testability approaches
Authors: Nikfard Pourya , Ibrahim Suhaimi Bin , Rohani Babak Darvish , Selamat Harihodin Bin , Mahrin Mohd Nazri
Published: May 2018

Design for testability is a very important issue in software engineering. It becomes crucial in the case of Model Based Testing where models are generally not tested before using as input of Model Based Testing. The quality of design models (e.g.; UML models), has received less attention, which are main artifacts of any software design. Testability tends to make the validation phase more efficient in exposing faults during testing, and consequently to increase quality of the end-product to meet required specifications. Testability modeling has been researched for many years. Unfortunately, the modeling of a design for testability is often performed after the design is complete. This limits the functional use of the testability model to determining what level of test coverage is available in the design. This information may be useful to help assess whether a product meets the target requirement to achieve a desired level of test coverage, but has little proactive effect on making the design more testable.
Routing Strategies in Survivable Optical Networks
Authors: Amin Ifrah , Ahmad dar Gulzar , Saini Hrdeep singh
Published: May 2018

Routing and wavelength assignment problem is one of the main problem in optical networks. The foremost problem is the routing problem after which the wavelength assignment is to be decided. In this paper we have proposed a routing strategy for optimization of the performance of the optical network in terms of blocking probability. The strategy proposed is better than the conventional algorithm in terms of blocking.Â
Synthesis and physico-chemical studies of a novel bis [3,5-diamino-4H-1,2,4-triazol-1-ium] dichloride monohydrate
Authors: Mrad Mohamed Lahbib , Ben Nasr Mahjouba , Dhaouadi Hassen , Ben Nasr Cherif
Published: May 2018

The title new compound, (C2H6N5+)2, 2Cl−.H2O, contains two 3,5-diamino-4H-1,2,4-triazol-1-ium cations, two chloride anions and one water molecule. The crystal structure is stabilized by O - H···Cl, N - H···Cl, N - H···O and N - H···N hydrogen bonds, one of them being a three-center interaction. Strong π - π stacking interactions between neighboring triazolium rings are present, with a centroid - centroid distance of 3.338 (7) Å. The exocyclic N atoms are sp2 hybridized, as evidenced by bond lengths and angles, in agreement with an enamine-imine tautomerism. A dielectric spectroscopic study of the title compound was performed. The 13C CP-MAS NMR spectrum is in agreement with crystallographic data. The infrared spectrum has been recorded at ambient temperature and interpreted on the basis of literature data. The temperature dependence of the imaginary part of the permittivity constant was analyzed with the Cole - Cole formalism in the temperature range 325 - 375 K.
Supramolecular Hydrogen Bonded 3D Molecular Self Assembly Constructed from [(Co (nicotinamide)2(thiocyanate)2(H2O)2] Complex Showing Anti-ferromagnetic Character
Authors: Pandey Deepanjali , S.Narvi Shahid , Chaudhuri Siddhartha
Published: May 2018

A new three dimensional hydrogen bonded cobalt frame work from [Co(nicotinamide)2(thiocyanate)2(H2O)2] was synthesized and characterized by X-ray diffraction, magnetism ,TGA and IR spectroscopy. The compound crystallizes in Triclinic space group P-1 with a = 7.5475(19), b = 8.054(2), c =8.932(2). Alpha=73.347(4), beta=70.067(4), gamma=66.559(4) with space group P-1 Z = 1, 'C14 H16 N6 Co O4 S2', Mr =455.38, F(000) = 233 and μ(MoKα) =0.71073 mm-1. The final R = 0.0497 and wR = 0.1461 for 4185 observed reflections with I > 2σ(I) and R = 0.0721 and wR = 0.1619 for all data. X-ray diffraction analyses revealed that Co(1) is linked by the nicotinamide ligands to form the ladder shape along the c axis, which is further extended into two-dimensional networks via the joint of Co(2) along the a axis. Moreover, these two dimensional motifs are interconnected by the thiocyanate S...H bridges to form a complicated 3-D polymeric framework. The magnetic susceptibility data at 1000Oe external field in the temperature range 2-300 K obeys the Curie-Weiss law, giving θ = -24.12 K and C =2.43  thus indicating a dominant strong antiferromagnetic interaction and/or spin orbital coupling between the Co (II) ions.
Molecularly Imprinted Dispersive-Based Extraction Method for Melamine in Milk (MIDE HPLC DAD)
Authors: Figueiredo Leandro , Santos Lúcia , Alves Arminda
Published: May 2018

An easy and selective molecularly imprinted dispersive extraction method (MIDE) coupled with HPLC-DAD was developed for melamine´s analysis in commercial milk samples.  The molecularly imprinted polymer (MIP) was synthetized by suspension polymerisation with melamine as template, while methacrylic acid, ethylene glycol dimethacrylate and chloroform were used as monomer, cross-linker and porogenic solvent, respectively.  The analytical methodology was validated presenting a limit of detection of 0.6 mg/kg. The recovery percentage in spiked milk samples ranged from 92.9% to 102.0% with an intermediate precision of 5.0%. The analysis of real samples with MIDE revealed melamine´s presence in 20% of the cases with a maximum concentration of 9.3 ± 0.3 mg/kg, which exceeds the maximum recommended level of 2.5 mg/kg.
SEASONAL VARIATION OF HEAVY METALS CONCENTRATIONS IN FISH IN OGUTA LAKE, NIGERIA
Authors: Nwoko C.I.A , Ukiwe L.N. , Egereonu U. U
Published: May 2018

Concentrations of heavy metals iron (Fe), copper (Cu), lead (Pb), nickel (Ni), mercury (Hg), chromium (Cr), cadmium (Cd) and arsenic (As), were determined in the head of four fish species, namely, Trachinotus goreensis, Clarias anguillaris, Synodontis membranaceous, and Tilapia zilli, in Oguta Lake, Nigeria. Result obtained from analyses using Atomic Absorption Spectrophotometry (AAS) revealed that Fe (13.309 mg/l) was the highest metal accumulated by the fish (S. membranaceous) in October, while Hg and As were not detected in all the fish species except in July where 0.003 and 0.005mg/l of As were detected in the fish species (T. zilli and C. anguillaris), and November where 0.001 mg/l of As was also detected in S. membranaceous. The distribution of HMs in the fish species revealed that, overall, Fe was the highest metal accumulated by the fish species, C. membranaceous, followed by T. goreensis. This high level of Fe accumulated by the fish species may be attributed to the fact that Fe occur at high levels in organic matter at the bottom of the Lake. So being typical bottom dwellers, the fish species were more exposed to the metal. Heavy metals were higher (not significantly) during the dry season than the rainy season. Statistically, however, seasonal variation didn’t significantly influence the accumulation of HMs by the fish species. The levels of heavy metals examined in the present study were below maximum permissible limits set by World Health Organization (WHO), indicating that the Oguta Lake is not polluted by heavy metals.
THE APPLICATION OF AMINO – AND HYDROXYETHYL IMIDAZOLINES OF PETROLEUM ACIDS AS MULTIFUNCTIONAL ADDITIVES FOR DIESEL FUEL
Authors: Namazov Anar Amil , Abbasov Vagif Maharram , Mammadova Tarana Aslan , Valiyev Khayyam Rahim , Kasamanli Khayala Hamlet
Published: May 2018

In this research, the influence of amino- and hydroxyethyl imidazolines of petroleum acids on the antistatic property and lubricity of diesel fuel has been studied. The researches illustrated that when the boiling point of petroleum acid fractions increases, the influence of imidazolines on the antistatic property and lubricity of diesel fuel decreases. Besides, it has been known that, the influence of aminoethyl imidazolines of petroleum acids on the antistatic property and lubricity of diesel fuel is better than the influence of hydroxyethyl imidazolines, On the other hand, it has been revealed that, when imidazolines of petroleum acids are added to the diesel fuel, the antistatic effect increases over time.
Determination of rate constant, binding constant, and binding number by fluorescence measurements of Gd3N@C80(OH)20 in D2O
Authors: Rodriguez Art A
Published: May 2018

ABSTRACT      Today MRI imagining techniques are capable of discerning between abnormal and normal complex tissues by providing contrasting images of these tissues.  One drawback of using MRI imagining is its low sensitivity.   However, this sensitivity can be greatly enhanced by introducing contrasting agents who can provide a new pathway for water molecules to significantly relax faster and hence generate the desired “contrast” between healthy and unhealthy tissues.   We report the first ever recorded fluorescence emission spectrum of Gd3N@C80(OH)20; where -(OH)20 is the average number of hydroxyl groups.  Our emission data indicates that the H2O- Gd3N@C80(OH)20 interactions lead to fluorescence quenching via a static quenching mechanism.  The binding constant, Kb, on the other hand, was found to be of the same magnitude as interactions between human serum albumin and small organic acid but quite different, several orders of magnitude smaller, than protein nanoparticle complexes.  Interestingly, the binding number, n, was found to be approximately 0.5, which in cases like this, is rounded to a whole number of one.  The data also indicated an extremely fast rate constant on the order of 1012 L mol-1 s-1 which is outside of the diffusion-control regime.  These results are presented within this report.
Evaluation of the Potential Use of Waste Tires as Supplementary Fuel in Jordan Cement Industry
Authors: Al-Shawabkeh Ali F.
Published: May 2018

Although scrap tires can cause serious environmental problems, their use as an energy source in cement industry could save considerable amounts of money. The total generated scrap tires in Jordan is estimated to be 7,862,968 per year. The elemental analysis showed that 81% of waste tires was carbon and the average of the measured lower heating value was 33845 kj/kg.  Jordan has seven cement factories that produce about 14.1 million tons of cement and consume about 987000 tons of crude oil which costs about 661 million dollars. The study analyzed the use of waste tires as supplementary fuel in cement industry in Jordan. Results showed that savings could reach 6.29 million dollars if we used 20% of the generated waste tires per year in cement industry and 31.43 if the whole generated waste tires (100%) was used in cement industry.
SbCl3-Catalyzed conversion of ketones and aldehydes into gem-dihydroperoxides (DHPs) with 30% H2O2
Authors: Azarifar Davood , Mahmoudi Boshra , Khosravi Kaveh
Published: May 2018

A simple and efficient conversion of ketones and aldehydes into corresponding gem-dihydroperoxides (DHPs) has been developed by SbCl3-catalyzed oxidation with 30% H2O2 at room temperature. The reactions proceeded smoothly under mild conditions at room temperature. Simple experimental procedure, use of inexpensive and non-toxic catalyst, high yields and low reaction times are the main merits of the present method.
Validated Chromatographic Methods for the Simultaneous Determination of Sodium Cromoglycate and Oxymetazoline Hydrochloride in a Combined Dosage Form
Authors: El-Tanany Basma Mohamed , A. Hegazy Maha , A. Al-Ghobashy Medhat , I. Khattab Fatma
Published: May 2018

Two chromatographic methods were developed and validated for the simultaneous determination of Sodium Cromoglycate (SCG) and Oxymetazoline Hydrochloride (OXMT). SCG and OXMT are administered in combination for effective treatment of nasal congestion and allergy. The first chromatographic method was based on usingaluminum TLC plates pre-coated with silica gel GF254 as the stationary phase and chloroform: methanol: toluene: triethylamine (5: 2: 4:1, by volume) as the mobile phase followed by densitometric measurement of the separated bands at 235 nm. The second method is a high performance liquid chromatographic method for separation and determination of SCG and OXMT using reversed phase C18 column with isocratic elution. The mobile phase composed of acetonitrile: methanol (2: 1, v/v) at flow rate of 1.0 mL/ min. Quantitation was achieved with UV detection at 220 nm. The validity of the proposed methods was assessed using the standard addition technique. The obtained results were statistically compared with those obtained by the official methods, showing no significant difference with respect to accuracy and precision at p = 0.05.
Removal of crystal violate dye from aqueous solution by adsorption on mixture of activated carbon: A kinetic & equilibrium study
Authors: Wagh Prakash Bhila , Shrivastava V.S , Shrivastava V.S
Published: May 2018

The kinetics and equilibrium study of crystal violate dye adsorption on mixture of activated carbon (PWCAC) and (CSAC) was studied. The use of low cost ecofriendly adsorbent has been investigated as an ideal alternative to the current expensive methods of removing of dye from aqueous solution. This study was done by batch adsorption techniques. The quantitative adsorption kinetic and equilibrium parameter for crystal violate dye were studied using uv-visible adsorption spectroscopy. The effect of initial dye concentration, pH,adsorbent dose, temperature, particle size were determined to find the optimal condition for adsorption. The percentage removal of dye was found to be most effective at pH10and contact time 120 min and at an adsorbent dose 4 g/L of dye. The study indicates that’s, the percentage removal of dye increases with increasing initial dye concentration, adsorption dose and contact time and attains equilibrium at optimum conditions.The equilibrium study of adsorption of crystal violate dye on to mixture of activated carbon was investigated using pseudo first order and pseudo second order kinetic models. The adsorption kinetics was found to follow pseudo second order kinetic model. The equilibrium adsorption data of crystal violate dye on PWCAC and CSAC mixture was analyzed by Langmuir and Freundlich adsorption model. The results show that the Langmuir model provides the best correlation.
Adsorptions of Astrazon Dye onto Granular Carbon-Silica Aerogels Synthesized from Recycle Palm-Date Pits: Kinetics, Thermodynamic and Isotherm Studies
Authors: Zaky Sayed Prof Dr. Ahmed
Published: May 2018

In this work, an environmental friendly management process was achieved to solve solid and liquid hazardous contaminants in our environment. In this case, a granular carbon (gAC) sorbent impregnated with SiO2 aerogels as composite (gAC/SiO2) was synthesized from the rceycling of palm-date pits solid waste products to remediate wastewater solution contaminated with Astrazon pink FG cationic dye. The Astrazon dye adsorption onto the gAC/SiO2 was investigated by compared to gAC sorbent alone using a batch system with respect to initial dye concentration, pH, contact time, solution temperature and adsorbents dosage. It was found the amount of adsorbed dye was strongly depended on pH with low significant important of temperatures levels range from 298 to 318 K. The prepared gAC/SiO2 aerogels composite exhibits high efficiency for Astrazon dye adsorption by approximately 1.5 times than that of gAC alone. The equilibrium adsorption states could be achieved in 6 h when using gAC/SiO2 comparable to 12 h by gAC for the different initial dye concentrations. The adsorption kinetics were  found to best described by the pseudo-second order model (PSOM) and pseudo-first order (PFOM)  kinetic models respectively, when using gAC and gAC/SiO2 sorbents, and poorest-fit with Elvoich equation as confirmed by nonlinear chi-square error test and determination coefficient values. The equilibrium isotherm study indicated that dye adsorption data were analyzed and fitted well by the nonlinear expressions of both Langmuir and Langmuir-Freundlich models compared to Freundlich, Temkin and Redlich–Petersonmodels. The maximum monolayer Astrazon dye adsorption was estimated to be 185.59 and 256.02 µmol/g by gAC and gAC/SiO2 adsorbents. The positive values of the enthalpy (ΔH°) and negative Gibbs free energy (ΔG°) changes indicate an endothermic as well as feasible and spontaneous nature of the adsorption process respectively.
EFFECT OF STERCULIA FOETIDA BIODIESEL ON SINGLE CYLINDER FOUR STROKE DIESEL ENGINE PERFORMANCE AND EMISSIONS
Authors: M VIJAYAKUMAR
Published: May 2018

In the present work, transesterified new biodiesel of sterculia foetida oil is mixed with diesel and the engine performance, combustion and emission was analysed. The primary objective work is to produce a new alternate and biodegradable fuel for compression ignition engine. The biofuel oil is an extract from sterculia foetida seed and transesterfied with 20 % methanol and 2 % KOH. The transesterfied biofuel concentrations were varied at 25%, 50%, 75% and 100% with diesel viz. B25, B50, B75 and B100. The engine is operated at different load conditions with different concentration of fuel. The experiments are conducted and the fuel blend B25 produces maximum of brake thermal efficiency in comparison with other biodiesel blends and produced maximum heat release and minimum emission produced at B25 biodiesel blend.
SYNTHESIS, CHARACTERIZATION AND ANTIMICROBIAL ACTIVITY OF MANGANESE(II) AND NICKEL(II) COMPLEXES OF 7-DIETHYLAMINOBENZYL-8-HYDROXYQUINOLINE
Authors: Muthukumar C. , Sabastiyan A. , Valarselvan S. , Subramanian M. , Shanmugavadivel M.
Published: May 2018

8-Hydroxyquninoline Mannich base namely 7-diethylaminobenzyl-8-hydroxyqunioline(DEBQ) was synthesized and characterized by elemental analysis and spectral studies. Chelates of DEBQ with manganese(II) and nickel(II) were isolated and structurally  characterized by elemental analysis, electrical conductance, magnetic susceptibility measurement, thermal analysis, IR,UV-Vis, EPR and Mass spectral data. The Mannich base ligand is bidentate and chelates through the phenolic oxygen and the aliphatic tertiary amino nitrogen atoms. Based on the magnetic and electronic spectral data all the MnII complexes are assigned an octahedral geometry and NiII complexes are assigned a tetrahedral geometry. Antimicrobial susceptibility screening of the Mannich base shows that it possesses excellent activity when compared to the standard drugs and the metal complexes studied. Among the chelates, MnII chelate is more potent than NiII  chelate. Thermal analysis of a few compounds shows two stage decomposition patterns.
Kinetic studies of the release profiles of antiepileptic drug released from a nanostructured TiO2 matrix.
Authors: Hurtado M. González , Briones J. Rieumont , González Laura. M. Castro , Islas E. Ortiz- , Dube Inti Zumeta-
Published: May 2018

In this paper is reported the “in vitro” release kinetic studies of antiepileptic drugs released from an inorganic, titanium oxide (TiO2) porous matrix. In order to determine the drug release mechanism, the experimental values were fitted to different mathematical models: zero-order, firs-order, Higuchi, Hixson-Crowel and Peppas. TiO2 was prepared by the sol-gel method adding valproic acid (VPA) or phenytoine (DHP) during the titanium n-butoxide hydrolysis step. The drug-TiO2 systems were observed by scanning electron microscopy. The “in vitro” release experiments were performed at laboratory scale following the United States Pharmacopeia (USP) standards. The obtained materials have a morphology of nanoparticle agglomerates. The particles have different sizes with some roughness and spherical shape. Peppas model suggests for both systems, that the release mechanism is controlled by two parallel processes. The first one is by diffusion of the drug through the matrix and the second is related to a gradient of constant diffusion by ingress of the solvent in the matrix.
REMOVAL OF FERRIC IONS (Fe+3) FROM NEUTRAL SOLUTIONS USING MODIFIED CHITOSAN
Authors: Mohamed Hussein A , Wassel Magdy A , Farg Rabie S , Shehata Hassan A , Anwar Aamal M
Published: May 2018

The object of this study is to assess the removal of Fe(III) ions from aqueous solutions onto modified chitosan. The effect of various parameters has been investigated by the following batch adsorption technique. The various variables studied include initial concentration of the adsorbate, agitation time, adsorbent dosage, kinetics, influence of temperature. The experimental data was fit well to the Freundlich isotherm. Thermodynamic parameters such as ΔH, ΔS and ΔG were calculated, indicating that the adsorption was spontaneous and endothermic nature.