Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile to Mobile Cooperative Content Distribution over Wireless Networks

– This paper deals with the Mobile-to-mobile Cooperative content distribution over wireless network for optimization of Energy Consumption. The Multimedia content to be downloaded will be divided into packets and these packets are routed among present mobile terminals over wireless networks. This paper discusses the algorithm for scheduling of these packets in cooperative mode. The energy consumption in non cooperative and cooperative mode is evaluated and compared.
A Machine Learning for Rule-Based System

--The main article issue in today On-line Social Networks (OSNs) is to give users the ability to ascendancy the messages posted on their own private space to avoid that superfluous content is displayed. Up to now OSNs provide little support to this prerequisite. To fill the gap, in this paper, we propose a system allowing OSN users to have a direct control on the messages posted on their walls. This is effectuate through a bendsome rule-based system, that allows users to specification the percolate benchmark to be applied to their walls
GLUCOCORTICOID MEDIATED SPECIFIC REGULATION OF CALCIUM CHANNEL: AN IN SILICO STUDY

The role played by steroid hormones in managing stress and homeostasis is extremely important from physiological perspective. Glucorticoid, one of the main steroid hormones bears an important position in this respect. Glucocorticoid confers its activity by precise and specific regulation of certain genes. It adopts a mechanism where it binds to its receptor in the cytosol and translocates to the nucleus and hereby activates or represses particular genes. The voltage gated calcium channels (VGCC) play important roles in neuronal firing. Between the L type and N type VGCC, Glucocorticoid specifically enhance the L type. This is important in regulating the neuronal excitability as enhanced L type current leads the cell to more hyperpolarized state and thus reducing excitability. Here we have studied the factors governing the glucocorticoid mediated control of VGCC. We found that the locus of the glucocorticoid receptor response elements (GRE) and negative GRE (nGRE), nucleosome positioning, the binding affinity of Glucocorticoid receptor (GR) to GRE and nGRE are the factors that lead to specific enhancement of L type over N type VGCC mediated by GR.
Graph Database: A Complete GDBMS Survey

In the time of enormous information, information examination, business knowledge database administration assumes an imperative part from specialized business administration and exploration perspective. Over numerous decades, database administration has been a subject of dynamic examination. There are distinctive kind of database administration framework have been proposed over a time frame yet Relational Database Management System (RDBMS) is the one which has been most prevalently utilized as a part of scholastic examination and technical setup. As of late, Graphs databases recovered enthusiasm among the analysts for certain conspicuous reasons. A standout amongst the most critical explanations behind such an enthusiasm for a graph database is a result of the inalienable property of charts as a Graphs structure. Charts are available all around in the information structure, which speaks to the solid availability inside the information. The vast majority of the Graph database models are characterized in which information structure for graph and occasions are displayed as graph or speculation of a graph. In such graph database models, information controls are communicated by chart arranged operations and sort constructors. Presently days, the vast majority of this present reality applications can be demonstrated as a graph and one of the best genuine illustrations is social or organic system. This paper gives an outline of the diverse sort of graph databases, applications, and correlation between their models in view of a few properties.
SYNOPSIS DIFFUSION BASED ATTACKER RESILLIENT ALGORITHM FOR SEDURE DATA AGGREGATION IN WSN

Data aggregation is any process in which data is gathered and expressed in a summary form, for purposes such as statistical analysis. In WSN, data aggregation reduces the amount of communication overhead and energy is very important in WSN. Here an attack-resilient computation algorithm is proposed that computes the true aggregate by filtering out the contributions of attacker nodes in the aggregation hierarchy. The simulations are done by using network simulator. This system provides the communication overhead consumption. So, secure data aggregation is very important in WSN. This system provides the communication overhead less compared to existing system. The experimental results show that this method provides high security, throughput and filtering the attacks immediately when it was detected.
EVALUATION OF HYPOLIPIDEMIC ACTIVITY OF ACHYRANTHES ASPERA LINN. ON ALLOXAN INDUCED DIABETIC RATS

The present study, aims to evaluate the hypolipidemic activity of aqueous extract of Achyranthes aspera (L.) against alloxan induced diabetic rats. Wistar strain of albino rats of either sex were divided into five groups comprising of six rats each. Group I served as normal control, group II served as disease control (alloxan induced), group III & IV animals, received aqueous extract of A. aspera Linn at a dosage of 250mg/kg body weight and 500mg/kg body weight for 45 days, group V served as standard drug control (glibenclamide1mg/Kg body weight). After the experimental period the blood and tissue samples were collected and subjected to various biochemical parameters and histopathological studies. There were profound alterations in fasting blood glucose, serum insulin, lipid profile in serum and tissue, urea, creatinine levels in alloxan induced rats. Aqueous extract of A. aspera showed an excellent reduction in serum and marked raised tissue cholesterol, triglyceride, and freefattyacid and phospholipid levels. plant extract help in resuming the lipid profile, urea and creatinine to normal and results were comparable to that of standard drug glibenclamide (1mg/kg bw). The alterations were observed to resume (P<0.05) back to normal on treatment with plant drug. The effect of plant extract was found to be dose dependent. The present investigation reveals the antidiabetic potential of aqueous extract of whole plant of A. aspera L. KEY WORDs: Diabetes mellitus, Achyranthes aspera Linn. , Alloxan, Lipid profile, urea, Creatinine WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES SJIF Impact Factor 2.786 Volume 3, Issue 11, 560-575. Research Article ISSN 2278 – 4357 Article Received on 27 August 2014, Revised on 18 Septe 2014, Accepted on 10 Oct 2014
Development of A Computerized Biometric Control Examination Screening And Attendance Monitoring System With Fees Management

— Examination is one of the ways to assess the receptiveness of student to various class teachings in various schools or institutions from primary to post - primary and tertiary institutions. But this is not without problem like impersonation, student class absenteeism and debtor student sitting for examination especially in private institutions. The proposed system developed with the aim of solving stated problems. The system did not only has the ability to take student class attendance and screening before and after examination but it can also be used to verify whether such student is in debit to the institution or whether the student has paid required percentage of the tuition before being allowed to sit for the examination thereby reducing number of student in debit before examination started, it will also eliminate impersonation during examination and stress of manual class attendance taking and record keeping, also avoid writing of name of absent student unlike in manual process of class attendance. The system will also make it easier to calculate required percentage of class attendance before any student is allowed to sit for an examination in any institution. The system adopted biometric access control techniques, which is designed with extended graphical user interface by using Microsoft visual studio 2010 and integrated with Microsoft fingerprint reader. The student information is stored by MySQL which serve as database located in the user's computer or server.
Routing in IP Network Based Quality-of-Service

: Transmission of multimedia streams imposes a minimum-bandwidth requirement on the path being used to ensure end-to-end Quality-of Service (QoS) guarantees. While any shortest-path algorithm can be used to select a feasible path, additional constraints that limit resource consumption and balance the network load are needed to achieve efficient resource utilization. We present a systematic evaluation of four routing algorithms that offer different tradeoffs between limiting the path hop count and balancing the network load. Our evaluation considers not only the call blocking rate but also the fairness to requests for different bandwidths, robustness to inaccurate routing information, and sensitivity to the routing information update frequency. It evaluates not only the performance of these algorithms for the sessions with bandwidth guarantees, but also their impact on the lower priority best-effort sessions . Proposed system uses a new distributed QoS routing algorithm for uni-cast flows, which has a very low call establishment overhead. QoS routing algorithm makes use of existing IP routing protocols like OSPF, RIP with minimal modifications. Our results show that a routing algorithm that gives preference to limiting the hop.
Review of Proficient Approaches for Determining Identity Frauds and New Data Mining Based Method Under Investigation

: Recently during study it is observed that, there are many methods presented for crime detection and most of the methods are based on data mining concepts. The crime detection problems are modeled by data mining concepts. Basically crimes are nothing but the social nuisance as well as cost since from last many years in our society. Crime detection techniques evaluated based on its detection speed, faster the detection speed, efficient the detection technique. Based on existing purchase data analysis of cardholder (credit/debit card) is one of the challenging method for reducing the successful credit card frauds ratio. There are many existing methods presented those are non-data mining having suffered from some limitations. These methods basically were used business rules, scorecards and known fraud matching. To overcome such limitations recently new approaches presented for detecting the crime. In this paper we are first presenting the different types of frauds, after that, different kinds of fraud detection techniques and then data mining based techniques investigated here.
Spectrum Sensing Based on Poynting Vector Theorem for Cognitive Radio Networks

:- This paper has examined the problem of dynamic spectrum access in the presence of a licensed signal, when unlicensed communicating devices have intelligent radios capable of sensing and reacting to their environment. Our studies have discovered considerable under-utilization of the allocated spectrum by the licensed users. This suggests that the solution to the problem is a transition from static spectrum allocation policies to dynamic spectrum access methodologies. This can be accomplished through the use of Cognitive Radio technology. Cognitive Radio is considered as an intelligent radio which is capable of altering its transmission or reception parameters in accordance to the radio environment and the network state to use the available spectrum optimally. Spectrum sensing is a technique used to detect the presence of primary users in the licensed spectrum. Various techniques exist for performing spectrum sensing. In addition to primary user detection, spectrum sensing can also be employed for secondary detection and co-existence, interference analysis in multi-radio environments etc. This paper proposes a new technique to sense, with as low probability of error as possible, weather a frequency spectrum contains a signal or not. For this, POYNTING VECTOR THEOREM is used which state that “the vector product P =E X H at any point is a measure of rate of energy flow per unit area at that point [1]”. Thus the cross multiplication of measured Electric and Magnetic fields containing noise with them will give power flow in that region. The Noise is considered to be white Gaussian in nature. Since nearly same white noise is added to both Electric and Magnetic fields, there is cross multiplication of two similar noise vectors which is always zero. Thus a major portion of noise is automatically eliminated. Results generated by the computer simulation show that the proposed method is more efficient in sensing the vacant spectrum as compared to the existing technique in literature.
Minimal Intervention Approaches in Remineralizing Early carious lesions

Since the beginning if this Millennium information about the procedures and benefits of minimum intervention, an innovative, modern health care approach for dentistry has been increasingly disseminated. As with any innovation, wide adoption of Minimum Intervention (MI) by the dental profession is reliant upon factors related to the process of diffusion. Thus the goal of Modern Dentistry is to manage noncavitated caries lesions non invasively through remineralization. Therefore, this in-vitro study will be carried out to apply and investigate three remineralizing agents fluoride, ACP-CPP+F and silica compounds on demineralized enamel. Materials & Methods This in vitro study was carried out on 45 teeth specimens carious like lesions will be induced and specimens were divided into three main groups of 15 teeth each, according to remineralizing agent applied, leaving the distal surface as a control group. Group I:using flor-Opal sodium fluoride gel (FG), Group II: using GC MI paste plus Tooth mousse (APP-ACPF) (GC), Group III: using bioactive silica suspension (S). The specimens were evaluated using a computerized method using Environmental Scanning Electron Microscope (ESEM) for measuring the surface roughness of the investigated samples. Also the mineral content was measured using Energy dispersive analytical Xray (EDAX) for elemental analysis of (calcium, phosphate), showing the3D dimension of surface roughness. Results: revealed a high statistically significant difference between the control group and the three remineralizing agent but the highest mean of surface roughness was noticed in silica group also, this group showed the highest calcium wt . while the highest phosphorus wt was shown in the GC MI paste plus Tooth mousse (APP-ACPF). FlorOpal showed the lowest statistical means . Conclusion: Minimal intervention dentistry will be promising spotlights on remineralization of early carious lesion. Flor-Opal showed the lowest remineralization while when used incorporation with ACP-CPP paste showed better results in reducing dissolution of enamel surface . Bioactive silica used as remineralizing agents showed a promising results further studies will be needed to be applied in vivo studies. [Hala M.Abbas, Heba M.Hamza, Hend M.Ahmed. Minimal Intervention Approaches in Remineralizing Early carious lesions. Journal of American Science 2012; 8(3):709-717]. (ISSN: 1545-1003). http://www.americanscience. org. 95
Predicting user Service Evaluation from Mobile user in Geological Location

: Recently, with the rapid development of mobile devices and ubiquitous Internet access, social network services, such as Facebook, Twitter, Yelp, Foursquare, Epinions, become prevalent, which allows users to share their experiences, reviews, ratings, photos, check-ins, etc. These social networks involve geographical information such as location-based social networks (LBSNs). Such information brings opportunities and challenges for recommender systems to solve the cold start, sparsity problem of datasets and rating prediction. In this project, we propose personalized recommendation systems that can help people to find interesting things and they are widely used with the development of electronic commerce. Many recommendation systems employ the collaborative filtering technology, which has been proved to be one of the most successful techniques in recommender systems in recent years.
URDU NAMED ENTITY RECOGNITION AND CLASSIFICATION SYSTEM USING CONDITIONAL RANDOM FIELD

: Named Entity Recognition (NER) system for the Urdu language based on Conditional Random Field (CRF) is described. Only three Named Entities, i.e., Person, Organization and Location names, are considered to obtain results for precision, recall, and f-measure. Our system yields 63.72%, 62.30%, and 63.00% as values for precision, recall, and f-measure, respectively. These are the best-reported results for the Urdu language using any statistical model. We also identify some language independent features to show that a NER system can be developed for languages that have limited linguistic resources.
FACTORS AFFECTING LIBRARIANS’ APPROACH TOWARDS IT APPLICATION IN LIBRARIES IN NIGERIA.

Purpose – The purpose of this paper is to investigate the factors affecting librarians‟ approach toward IT application in libraries. It also aims to identify general underlying factors, which could be used to predict the likely behaviour of librarians toward IT innovation in their libraries. Design/methodology/approach – Primary data were collected through a questionnaire survey of (sample of 682) head librarians working in academic libraries across Approach. In total, 76 per cent valid responses were used for factor analysis. The study found that the intensity of librarians‟ fears in IT handling, ability to cope with the ever-changing IT innovations and their level of understanding of IT-based rules and regulations were good predictors of librarians‟ approach toward information technology. Practical implications – The findings can be utilized to improve the librarians‟ approach toward IT applications, their role in IT-related decision making, their ownership of IT application in libraries and for success of library IT projects and innovations.
Voting based Extreme Learning Machine with search based Ensemble Pruning

Summary Voting based Extreme Ensemble is a majority voting based ensemble of Extreme Learning Machines. An ensemble may contain some highly correlated classi ﬁ ers. Ensemble pruning is used to remove these redundant classi ﬁ ers, reduce the size of ensemble. It may also increase the accuracy of ensembles by selecting subsets of classi ﬁ ers that, when combined, can perform better than the whole ensemble. This paper proposes a gain based ensemble pruning technique that adds classi ﬁ ers based on their diversity and contribution towards ensemble. This algorithm reduces time complexity by reducing the size of pruning set which is done by eliminating training instances that are present far away from the decision boundary. These are the instances which are classi ﬁ ed correctly by majority of classi ﬁ ers with high con ﬁ dence. Results show that the proposed algorithm works equally well or even better in some cases than Voting Based Extreme Learning Machine in terms of accuracy.
Application of MUSIC Algorithm for Adaptive Beamforming Smart Antenna

1PG Scholar in Digital Communication, Vaishnavi Institute of Technology, Bhopal(MP), India 2Asst. Professor in Electronics Department, Vashnavi institute of Technology, Bhopal (MP), India 3Asst. Professor in Electronics Department, Vashnavi institute of Technology, Bhopal (MP), India ---------------------------------------------------------------------***-------------------------------------------------------------------Abstract – The spatial spectrum expresses signal distribution in the space from all directions to the receiver. Hence, if one will get the signal’s spatial spectrum, then the direction of arrival (DOA) may be obtained. As thus, spatial spectrum estimation is also known as DOA estimation. DOA technology analysis is vital in array signal processing, that is an interdisciplinary technology that develops speedily in recent years, particularly the direction of arrival with multiple signal sources, the estimation of coherent signal sources, and therefore the DOA estimation of broadband signals. Over the past few years, all types of algorithms which may be utilized in DOA estimation have created nice achievements, the foremost classic rule among which is Multiple Signal Classification (MUSIC). In this paper discuss the DOA estimation supported MUSIC algorithm.
Reduce Data Utilization Scheme for Biometric Hand Recognition using Six Features

— This system provides a novel method for Person verification using hand matching with improved performance in large hand pose variations. Normally hand recognition systems are too complex and needs more datasets and algorithms at each level of processing. The proposed approach introduces a reduced data utilization scheme of providing both identification and authentication from contact free hand images using pattern matching technique. A generic and secure approach is proposed to upgrade the already existing template based Eigen finger authentication towards Pattern matched recognition to reduce its complexity and data utilization. Here the proposed approach is a hand based biometric system which allows both user identification as well as authentication using six features of user hand. The features used here are Little finger, Ring finger, Middle finger, Point finger, Thumb and the Palm print. The method is well suitable for implementing hand based authentication over a wide variety of technologies such as embedded systems and mobile phone technologies which requires a minimized data utilization scheme to provide user authentication.
Multi-Region Extraction Image Segmentation Based on Centroid Clustering Technique

- In this paper we proposed the methodology that incorporates the Centroid-based clustering algorithm for the image segmentation. The image segmentation may be defined as the process of dividing the given image into different parts. Here we are taking image as the input and we are supposed to segment the given image on the basis of its high intensity region. The clustering algorithm also proved to be very efficient in the process of image segmentation. The clustering can be defined as the method of grouping the similar kind of objects from the input. The grouping can be on the basis of the attributes like color, shape, texture, size and other. The another technique used Multi-region extraction, using this approach foreground detect from image. But more difference between input image and Output image. So, we have implement Centroid-based clustering algorithm with Multi-region. The experiment shows that, the result of proposed method as compared to centroid-based clustering and Multi-region approach is best. This method has number of applications in medical imaging field, Digital Camera and etc.