Miracle-dz/UniFAR-FTUs huggingface dataset:
Hand Geometry Verification based on Chain Code and Dynamic Time Warping

This research demonstrated a technique for hand geometry biometric verification using hand contour matching. Hand shape feature is obtained by using a chain code method. Since the vector length of the hand shape chain code of each user is distinct tendency then Dynamic Time Warping (DTW) is suitable metrics to match of two chain code features. System performance was tested by using databases that consists of 75 users with 12 hand image samples for each user. The experimental results show the system produces about 84% success rate with FNMR = 7.98% and FMR = 7.92%. General Terms Biometrics, Pattern Recognition, Image analysis.
Creativity of Beauty with Creating Dimple – Review

Post graduate in Department of Conservative Dentistry & Endodontics, MGS Dental College & Research Centre, Sriganganagar,Masters in Environmental And Occupational Health Sciences, Western Kentucky University ,Senior lecturer in Department of Conservative Dentistry & Endodontics, MGS Dental College & Research Centre, Sriganganagar, Post graduate in Department of Prosthodontics , MGS Dental College & Research Centre, Sriganganagar,
A cache based Defence Mechanism for Eliminating DoS Attack in Wireless Mesh Network (WMN)

: Wireless Mesh Networks (WMNs) are developing to be an attractive substitute for offering high bandwidth broadband facilities to a large community of subscribers, they arise several security issues. The current attraction of research in WMNs is mainly concentrated on evolving Load balancing mechanism and multi-path routing protocols; and security is very much in its early stage. The Mesh Routers (MRs) cooperatively send the traffic towards the Internet gateway (IGW). The MRs self-configurable architecture paves way for dangerous attackers to carry out a Denial-of-Service attack (DoS) on the MRs by broadcasting the network with a huge amount of traffic; hence building the system inaccessible to the actual subscribers. In this research paper, we introduce a cache based defense at the MRs to detect broadcasting type DoS attacks. We utilize a most frequently employed cache technique to identify these flows and arise an early alert to control them. We efficiently avoid any performance reduction by discarding the detected attack flows with the forwarding routers. Simulation results show that our mechanism provides an active line of defense against DoS attacks.
VLSI � Design and Implem b ntation of Arthimetic Circuit for Video Encoding Using VLSI � Technology

The field of estimated registering has gotten significant consideration from the examination group in the previous couple of years, particularly with regards to sundry flag preparing applications. Picture and video pressure calculations, for example, JPEG, MPEG, et cetera, are solidly appealing possibility for rough processing, since they are tolerant of figuring imprecision because of human indistinctness, which can be misused to acknowledge exceptionally control proficient usage of these calculations. In any case, subsisting inexact models commonly fix the gauge of equipment estimation statically and are not versatile to include information. For instance, if a fixed rough equipment configuration is used for a MPEG encoder (i.e., a fixed level of estimation), the yield quality fluctuates enormously for various information recordings. This paper addresses this issue by proposing a reconfigurable surmised design for MPEG encoders that improves control utilization with the objective of keeping up a specific Peak Signal-to-Noise Ratio (PSNR) limit for any video. Toward this
Various mitochondrial endogenous kinase activities in fertile and cytoplasmic male sterile wheat ( T. aestivum)

The orf256 gene is associated with cytoplasmic male sterile (CMS) wheat. The gene lies upstream of coxI in T. timopheevi (Tt) mitochondrial DNA (mtDNA) and is expressed wi th coxI in the same mRNA in Tt, fertility restored (FR), and CMS lines. It is n ot present in Triticum aestivum (Ta) mtDNA. The gene is expressed as a 7 kD protein only in CMS lines. Diff erent transcripts were detected in the different mitochondrial sources. Orf256-coxI RNA binds to man y protein from various wheat mitochondrial sources. Here, we report that there were various ki nase activities in mitochondrial protein extracts o f Ta and CMS wheats. Three bands of mitochondrial protei ns were subject to phosphorylation by endogenous kinase activity that was differentially modulated by sodium vanadate. Dephosphorylation of mitochondrial protein extracts seems to decrease the kinase activity or make those protein bands less favorable substrates for the endogenous kinase s. Staurosporine does not have major effect on the kinase activities. Results showed that there might be different kinases, one of which is modulated by sodium vanadate but not with staurosporine, in vari ous mitochondrial protein sources. The variations in kinase activity may reflect proteomic variations among mitochondrial protein sources.
Performance analysis of Multiple Energy Storage Element Resonant Power Converters

A steady-state design of Multiple Energy Storage Element Resonant Power Converters is presented. The method uses a set of Prederived equations for a two-inductor two-capacitor series parallel resonant converter (LLCCSPRC). Although four-tank elements are present in an LLCC-SPRC, only two ratios of the tank elements are needed during the design. The values of the four-tank elements can be found from the aim outcomes.An open loop Multiple Energy-Storage Element Resonant converter with LCLC configuration has been simulated and presented in this report.The operation of proposed converter has been estimated with the open loop condition. The proposed approach is expected to provide better voltage regulation for dynamic load conditions.
Training RBF Neural Network by hybrid Adaptive Modified Particle Swarm Optimization – Tabu Search algorithm for Function Approximation

—This days interests in metaheuristic optimization algorithms have been grown and this algorithms have been used in many fields . Because of this , many algorithms have born or mixed up together in order to get into better results . In this paper a new hybrid AMPSO-TS ( Adaptive Modified Particle Swarm Optimization – Tabu Search ) method is presented for training RBF (Radial Basis Function ) neural network that used to function approximation . This AMPSO-TS method uses the search ability of Tabu Search algorithm to optimize the Adaptive Modified Particle Swarm Optimization to result in more accurate . This hybrid method is used for learning RBF neural network and uses it for function approximation . Both PSO and TS method use the strategy of best solution of neighborhood in every iteration to get into best result , but every one of them has issues . By use of advantages of this methods we proposed the new method that uses TS to optimize the constants of PSO . numerical result show that the proposed method has improved results contrast to the simple PSO and gradient descent method to learn the RBF neural Network .
Survey on Human Face Expression Recognition

— Facial expression recognition plays an important and effective role in the interaction in Human. There are seven basic facial expressions namely fear, surprise, happy, sad, disgust, Neutral and anger. Facial Expression Recognition is process performed by computers which consist of detect the face in the image and pre-process the face region, extracting facial expression features from image by analyzing the motion of facial features or change in the appearance of facial features and classifying this information into facial expression categories. Face Expression Recognition techniques have always been a very challenging task in real life applications because of the variations in the illumination, pose and occlusion. This paper presents a methodology for face expression recognition.
An Efficient File Storage Implementation in Cloud based on Suffix Trees for Encrypted Data Access

— Cloud computing provides an efficient solution for data service outsourcing, where data owners can avoid committing large capital expenditures by economically storing their data to public data centers for the convenient management of data storage and utilization. Despite the tremendous benefits, outsourcing data to the commercial public cloud also opens the door for unsolicited data access in the cloud and beyond. Thus, enabling a secure and effective cloud data utilization service is of paramount importance. Given the large number of data users and huge amount of outsourced cloud data, this problem is particularly challenging as it is extremely difficult to also meet the practical requirements of performance, system usability, and high-level user searching experiences. This article investigates these challenges and in particular defines the problem of how to search over encrypted cloud data, which aims at accommodating various typos and representation inconsistencies in different user searching input for acceptable system usability and overall user searching experience, while protecting keyword privacy. In order to further enrich the application spectrum, we also demonstrate how the existing techniques can be made more efficient by applying suffix trees for similarity search, a fundamental and powerful tool that is widely used in information retrieval. We describe the challenges that are not yet met by existing techniques, and discuss the research directions and possible technical approaches for these new search functionalities to become a reality.
Parallel Regular-Frequent Pattern Mining in Large Databases

—Mining interesting patterns in various domains is an important area in data mining and knowledge discovery process. A number of parallel and distributed frequent pattern mining algorithms have been proposed so far for the large and/or distributed databases. Occurrence frequency is not the only criteria to mine the patterns but also occurrence behavior (regularity) of a pattern may also be included in mining process. A pattern is frequent if the occurrence frequency is not less than the user given support threshold and this pattern is regular if it satisfies the user given regularity measure. So far a few efforts have been made to mine regular patterns but there is no suitable algorithm to mine regular-frequent patterns in parallel and distributed environment. Therefore, in this paper we introduced a new method called PRF-method (Parallel Regular Frequent Pattern-method) to discover regular-frequent patterns in large databases using vertical data format which requires only one database scan. PRF-method works in parallel at each local site in order to reduce I/O cost and inter-process communication and generates all regular-frequent patterns in the final phase. The experimental results show that our PRF-method is highly efficient in large databases.
Real Time Application of Face Recognition Concept

— Face Recognition concept is one of the successful and important applications of image analysis. It’s a holistic approach towards the technology and have potential applications in various areas such as Biometrics, Information society, Law enforcement and Surveillance, Smart cards, Access control etc. This paper provides an overview of real time application of Face Recognition concept by generating a matlab code using image acquisition tool box. The basic approach used is Principal Component Analysis using Eigen faces, popularized by the seminal work of Turk and Pentland.
Assuring Integrity in Privacy Preserving Multi-keyword Ranked Search over Encrypted Cloud Data

– Cloud computing is a general term for anything that involves delivering hosted services over the Internet and centralize their sensitive data into the cloud. With a mass of data files stored in the cloud server, it is important to provide keyword based search service to data user. However, in order to protect the data privacy, sensitive data is usually encrypted before outsourced to the cloud server, which makes the search technologies on plaintext unusable. In this paper, we propose a multi-keyword ranked search plan over the encrypted cloud data, which at once meets a set of strict privacy requirements. We choose “coordinate matching” so that it gives as many as possible matches to the search query. When users given a search query it gives all the relevant data based on the keyword and it provides ranking based on the search result. The proposed scheme not only searches the exact files but also it get back the related results based on the query keyword.
IMPROVED K-MEANS CLUSTERING ALGORITHM USING BACK PROPAGATION METHOD

: Clustering is procedure which is utilized to examine the data in proficient way and to get mined data. The various clustering has been proposed so far which can cluster the datasets. Among all the proposed algorithms, K-mean is the efficient algorithm in the terms of complexity and execution time. The k-means algorithm used the concept of central point and Euclidian Distance to cluster the dataset. When the dataset is of complex in nature, K-mean clustering is unable to drive relationship between the attribute of the dataset which leads to reduction in cluster quality. In this paper, improvement has been proposed in K-means clustering to increase the cluster quality of complex datasets.
Enhancing Scrum Framework: a Case at a Multinational Manufacturing Company in Malaysia

Many organizations today are adopting Scrum, an Agile methodology for handling complex software project. Despite all the benefits, there are still issues and challenges in adapting to Agile and some refusals to move from traditional method. This research aims to assess the perception of effectiveness of implementation of Scrum and identify the challenges after adopting Scrum in an information technology (IT) department of company X, a multinational manufacturing company in Malaysia. The findings of this study revealed that after one year of adopting Scrum, the perceptions from the staff is there is no significant improvement made. Five challenges were identified: team members unaware of each other’s tasks, difficulty in handling daily task priorities, no work synchronization among management and delivery team, too many tasks at the middle of sprints and poor attendance during daily stand up meeting. An enhanced Scrum framework that uses Scrum and Kanban is proposed to address the identified challenges. The insights gained from this research hope to provide practitioners with useful reference for adopting scrum.
ANALYSIS OF STUDENTS DROPOUT FORECASTING USING DATA MINING

Education is the backbone of any country and it is very important to improve the educational strength of the country. There are various methods and challenges on the way, use of technologies like computers, smart rooms, projectors, and eBooks. But these resources are useful only when we know which student needs which type of resource or, in other words, if we are able to predict the results of students, we can improve results and decrease drop out ratio. In our research, we used Data Mining in education to improve the results of the schools. As we know large amount of data is stored in educational database, so in order to get required data & to find the hidden relationship, different data mining techniques are developed & used. There are varieties of popular data mining task within the educational data mining e.g. classification, clustering, outlier detection, association rule, prediction etc.How each of data mining tasks can be applied to education system is explained. To predict the failure of students is a complex task, as it requires large number of the data to be handled. For which the record of students, their each and every activities, academic related information need to maintain. Based on this information, it will be easier to predict the student’s failure by applying data mining algorithms on it. The final objective of this paper is to detect the failure of students as early as possible to prevent them from dropping out and improve their academic performance. The outcomes are compared, the models with bestresults can be shown and the students who are at risk of failure can be provided with the guidance.
On the use of Multipath Transmission using SCTP

Summary Point-to-point protocols such as TCP uses the single path for data transmission. If the path is temporary not available due to errors, it stops the communication between two endpoints. The availability of Internet is increasing and such temporary path failures may be resolved by using the devices that establish multiple connections between two endpoints. Due to the popularity of such devices that provide the feature of multiple simultaneous connections, the protocol designs are also changed. Stream Control Transmission Protocol (SCTP) with Concurrent Multipath Transmission (CMT-SCTP) provides the feature of simultaneous multipath transmission. With such feature of CMT-SCTP, the mobile application developers are at keen interest to use it. This study evaluates the single and multipath transmission using SCTP and CMT-SCTP. The investigations on a simple scenario proved that CMT-SCTP distributes the data among the available paths. CMT-SCTP is also good for load sharing when some or all of paths encounter data loss due to link failures. A realistic scenario is proposed for the experimentation of SCTP and CMT-SCTP. The scenario also includes the background traffic by using TCP. In the simulations of lossless scenario, the CMT-SCTP improves throughput of SCTP by 23%. However, on the scenario of lossy paths the CMT-SCTP improves throughput by 79%.
The Singlet Doubly Excited (nl)

Calculations of the energy levels of atoms and ions with Z ≤ 10 are carried out in this paper using the variational method. New wave function with two terms including correlation was performed to calculate excited (ns 2 ) 1 S e , (np 2 ) 1 D e , (nd 2 ) 1 G e , (nf 2 ) 1 I e , (nh 2 ) 1 M e and (ng 2 ) 1 K e states with (n ≤ 7). The results obtained show quantitatively the great significance of electron correlation effects in the doubly excited states. These results are in compliance with some experimental and theoretical data.
A Survey on : Underwater Video Processing for Detecting and Tracking Moving Objects

Oceanographers need to study, analyse and interpret the biological and physical characteristics of marine organisms in the waterbed and sea floor. Images and Videos are important source of information and aids for their study. However, there are unique set of constraints in underwater environment that have limited our ability to process underwater images. Some of the important constraints in underwater images are associated with the physics of the light and attenuation of the electromagnetic spectrum. Processing issues also need to be dealt for the required application. Some of the research issues underwater have been the tasks associated with reconstructing three-dimensional information about the world from its twodimensional Projections. In this paper the techniques of underwater video processing for detecting and tracking moving objects are discussed, analysed and compared.
A Survey on Co-location and Segregation Patterns Discovery from Spatial Data

Spatial data mining is the extraction of spatial patterns, spatial relations and implicit knowledge, that are not explicitly stored in databases. In spatial domains, interaction between features generates two types of interaction patterns. A positive interaction (aggregation) brings a subset of features close to each other whereas a negative interaction (inhibition) results in subsets of features segregating from each other. Co-location patterns, intended to represents positive interactions, have been defined as subsets of Boolean spatial features whose instances are often seen to be located at close spatial proximity. Segregation patterns, representing negative interactions, can be defined as subsets of Boolean spatial features whose instances are infrequently seen to be located at close spatial proximity. In this paper, different approaches to discover co-location and segregation patterns like Rule based approach, event centric model approach and approaches for finding complex patterns are discussed. There are several measures which are used to compute spatial interaction.
Development and standardization of dizziness handicap inventory (DHI) in the Indian language Kannada

Background: Dizziness is one of the most common complaints in medicine, affecting approximately 20% to 30% of persons in the general population. Dizziness is a general term for a sense of disequilibrium. Vertigo is a subtype of dizziness, defined as an illusion of movement caused by asymmetric involvement of the vestibular system. The general health related quality of life in dizziness patients is affected from minimal to profound severity depending upon the frequency of the problem. Materials & Methods: The original version of DHI was taken and translated to Kannada language with the help of a qualified Kannada professor. After content validity, the final DHI-K was administered on 60 patients who came to the department with the complaint of vertigo/dizziness. Cronbach’s alpha was done to find out the internal consistency of the questionnaire and an Item-total correlation was also carried out. Results: The DHI-K has got an acceptable internal consistency (Cronbach’s alpha score: 0.735). Conclusion: The DHI-K has proved to be an acceptable scale to administer on Kannada speaking population to rule out the impact vertigo/dizziness on their quality of life.
ENHANCEMENT OF SOLUBILITY & DISSOLUTION RATE OF POORLY SOLUBLE DRUG OF NATEGLINIDE BY LIQUISOLID TECHNIQUE

The main aim of the present investigation is to enhance the dissolution rate of poorly water soluble drug such as Nateglinide. In this technique liquisolid system refers to formulation prepared by water insoluble drug mix with non-volatile solvent which is further converted into free flowing, non adherent powder form and which is directly compressed into tablets. In that the propylene glycol is used as non-volatile solvent in which drug having high solubility. Formulations F1,F2,F3were prepared by using microcrystalline cellulose and aerosil (silica),F4,F5,F6 were prepared by using lactose and cab-o-silica & F7 to F9 were prepared by using lactose and Syliod 244FP as carrier and coating material in the ratio of 10:1 and 20:1 respectively. Sodium starch glycolate acts as superdisintegrant and magnesium stearate as glidant in liquisolid system. The prepared liquisolid system were evaluated to their flowing properties such as bulk density, tap density, Hausner’s ratio, Carr’s index, and angle of repose. Fourier Transform Infrared spectroscopy (FTIR) and X Ray Diffraction (XRD) study shows no interaction between the drug and excipients. Further tablets were evaluated for hardness, diameter, thickness, weight variation, friability, disintegration test, uniformity of contents and in-vitro release study the studies shows liquisolid compact exhibited higher percentage of drug release than conventional and marketed tablets because of due to increase in wetting properties and surface availability for dissolution.