Miracle-dz/UniFAR-FTUs huggingface dataset:
REVIEW ON EDUCATIONAL DATA MINING TECHNIQUES

The educational data mining is emerging field that focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. Increasing interest in data mining and educational systems, make educational data mining as a new growing research community. Educational Data Mining means to extract the hidden knowledge from large educational databases with the use of techniques and tools. Educational Data Mining develops new methods to discover knowledge from educational database and it is used for decision making in educational system. In this paper we focus on comparative analysis of various educational data mining techniques with their algorithms. We compare the accuracy of these techniques with their algorithms on weka tool. The compared techniques and algorithms are presented together with some experimental data that give rise to the final conclusion
Living With Dying A Guide For Palliative Care

Thank you very much for downloading living with dying a guide for palliative care. As you may know, people have search numerous times for their chosen novels like this living with dying a guide for palliative care, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful bugs inside their desktop computer. living with dying a guide for palliative care is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the living with dying a guide for palliative care is universally compatible with any devices to read.
A Framework for an Outlier Pattern Detection in Weather Forecasting

: Data Mining is the process of discovering new patterns from large data sets. Meteorological data mining is a form of data mining which concerned with finding rare patterns inside largely available weather data. To detect rare Weather pattern is difficult challenge because these rare events are characterized by low occurrence and uncertainty. In this paper, we proposed an Adaptive Markov Chain Algorithm Model which uses an open number of states of Markov Chain to accommodate the dynamic temporality of data. The data is collected with the Tropical Atmosphere Ocean (TAO) array which was developed by the international Tropical Ocean Global Atmosphere (TOGA) program. Data Variables including latitude, longitude, zonal wind, meridional wind, humidity, air temperature and sea surface temperature are considered for identifying climate change patterns in this paper. By adding the Markov property as a global restriction, the granular size of the clusters is determined for optimal performance. Our climate change pattern detection algorithm is proven to be of potential use for climatic and meteorological research as well as research focusing on temporal trends in weather and the consequent changes.
PV/Fuel Cell Based Integrated Electric Motor Drive and Power Electronics for Bidirectional Power Flow between the Electric Vehicle and DC or AC Grid

- The concept bidirectional dc-dc converters (BDC) have recently received a lot of attention due to increasing the systems capability of bidirectional energy transfer between two dc buses. Apart from traditional application in dc motor drives, new applications of BDC include energy storage in renewable energy systems, fuel cell energy systems, hybrid electric vehicles (HEV) and uninterruptible power supplies (UPS). Under the requirements of reducing emissions, air pollution and achieving higher fuel economy. Most of the companies are developing electric, hybrid electric and plug-in hybrid electric vehicles. However, the high cost of these technologies and the low autonomy are very restrictive. Different DC to DC converter structures can be organized from the inverter semiconductor elements. This project represents an integrated traction machine and converter topology that has bidirectional power flow capability between an electric vehicle and the dc or ac supply or grid. The dc grid voltage provides more stable voltage to counteract the rate of change of inductor current and the current ripple is controlled in a better fashion in a dc grid connected mode. The inductances of the traction motor windings are used for bidirectional converter operation to transfer power eliminating the extra needed inductors for the charging and vehicle-to-grid converter operations. Finally these operations are implementing in vehicle traction mode operation with help of using PV/Fuel cell based instead of battery supply & simulation results are obtained for electric motor characteristics by using MATLAB/SIMULINK software.
Knowledge Based Face Detection Using Fusion Features.

: This paper presents a new knowledge based face detection using fusion features approach to automatically learn feature representation from raw pixels for face detection. It is not like many existing face recognition systems, where conventional feature descriptors, such as local binary patterns and Gabor features, are used for face detection, we propose an unsupervised fusion feature learning method to learn hierarchical feature representation. Since different face regions have different physical characteristics, we propose to use different feature dictionaries to represent them, and to learn one or more yet related feature projection matrices for these regions simultaneously. Hence position-specific discriminative information can be exploited for face representation. Having learned these feature projections for different face regions, we perform spatial pooling for face patches within each region to enhance the representative power of the learned features. Moreover, we stack our knowledge based face detection model into a deep architecture to exploit hierarchical information for feature representation and further improve the face detection performance. Experimental results on five widely used face data sets show the effectiveness of our proposed approach.
IMPROVING GIS SPATIAL QUERY PROCESSING ON SPATIAL DATABASE USING HILBERT R-TREE AND B-TREE

The size of spatial database is inversely proportional to the efficiency of information retrieval. The potency of spatial range query in geographic information systems (GIS) is of predominant importance and it depends on the query processing algorithms. When the database sizes increases, the processing of data retrieval from spatial database gets complicated. This paper merges two type of data structures; Hilbert R-tree and Balanced tree (B-tree) called as Hilbert RB-tree. In this paper Hilbert RB-tree utilizes the efficiency of Hilbert R-tree and B-tree collectively and accelerates execution speed of complex queries and minimizes the time consumed in searching, editing, deleting, updating any record in the spatial database. In this paper we propose a framework to test the efficiency of spatial query processing using both data structure.
ON : INTRAOCCULAR DRUG DELIVERY SYSTEM

Ocular drug delivery is the most fascinating and challenging task faced by pharmaceutical researchers. Conventional dosage forms such as eye drops are the most used dosage form by ocular route, in spite of their low bioavailability and the pulsed release of the drug where it is expected that direct application of the drug to the eye will give maximum response; however after instillation of an eye drop, about 70% of the administered volume can be seen to be lost by different factors. For this reason new ocular drug delivery vehicles have been developed in order to minimize the amount of the drug lost from the eye and at the same time provide maximum response with reduced frequency of administration. Transport of drugs applied by traditional dosage forms is restricted to the eye, and therapeutic drug concentrations in the target tissues are not maintained for a long duration since the eyes are protected by a unique anatomy and physiology. Major problems encountered by conventional ocular dosage forms include rapid pre-corneal drug loss due to naso-lacrimal drainage; tear turnover and drug dilution resulting in poor bio-availability. Therefore, efforts to improve ocular drug bio-availability led to development of novel drug delivery dosage forms such as nano particles, liposomes, hydrogels, ocuserts and muco-adhesive formulations.
Performance Analysis of Turbo Codes Over AWGN Channel

— Turbo code is the current research topic in the recent years, having the performance very close to the theoretical limit of Shannon. Turbo code has implemented in 3G mobile, deep-sea communications and satellite communications. In this paper, the turbo code encoding and decoding principle are introduced. Turbo encoders with different component codes are designed. The simulations of turbo codes are performed over AWGN channel and the effects of number of decoding iterations, the number of memory elements, the type of interleaver and the choice of decoding algorithm to turbo code performance are discussed. Simulation results show that at the same signal to noise ratio, the turbo code performance improves with increase in the number of iterations and the memory elements.
International Journal of Latest Research in Engineering and Technology

In this paper, a new class of Bézierbasis, called AT-Bézier basis, is constructed based on algebraictrigonometric function. Its properties including non negativity, normalization and the property of endpoints are discussed. Then quasi-cubic AT-Bézier curve is generated with new basis functions. The AT-Bézier curves not only have much properties resembling the traditional cubic Bézier curves, such as convex hull, geometry invariance and affine invariance, but also can come toG continuity when two AT-Bézier curves stitch together.
Confidential and Secure Query Services in the Cloud with RASP

— Range query is one of the most frequently used queries for online data analytics. Providing such a query service could be expensive for the data owner. With the development of services computing and cloud computing, it has become possible to outsource large databases to database service providers and let the providers maintain the range-query service. With outsourced services, the data owner can greatly reduce the cost in maintaining computing infrastructure and data-rich applications. We propose the Random Space Encryption (RASP) approach that allows efficient range search with stronger attack resilience than existing efficiency-focused approaches. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preserves multidimensional ranges, which allows existing indexing techniques to be applied to speedup range query processing. The kNN-R algorithm is designed to work with the RASP range query algorithm to process the kNN queries. We use RASP to generate indexable auxiliary data that is resilient to prior knowledge enhanced attacks. Range queries are securely transformed to the encrypted data space and then efficiently processed with a two-stage processing algorithm.
BIOGAS PRODUCTION COMPARISON OF VEGETABLE WASTE AND FRUIT WASTE FROM COIMBATORE CITY MARKET, CODIGESTED WITH WATER HYACINTH

Alternative resource for energy has been sort after in recent years, with bio energy emerging as a viable front for implementation. Conversion of waste to energy is adopted due to the option of safe disposal and conserving natural resources. In this regard, the biogas production from vegetable waste and fruit waste was investigated. Vegetable waste and fruit waste was collected from the Coimbatore vegetable market and prepared for further analysis. Similarly water hyacinth was collected from a nearby pond in the city. The wastes were combined individually in increasing concentrations to fixed amount of water hyacinth. Cow dung was added in equal amount of water hyacinth. In an experimental set up, anaerobic degradation took place and the amount of biogas produced was determined and quantified. Kinetic analysis of the biogas production was done and compared & conclusions were drawn.
Predictors of Post -Cardiac CatheterizationFemoral Artery Hematoma and Bleeding

Cardiac catheterization is performed routinely in hospitals all around the world. Extensive analyses of complications have been performed in the 1980s and early 1990s, showing a relatively stable mortality rate between 0.1% and 0.2% and an overall complication rate between 0.8% and 1.8%. However, there are few data about procedural complications of cardiac catheterization. Complication rate may be significantly lower in recent years because advanced catheter technologies have improved cardiac catheterization significantly. the incidences of vascular access complications alone have been reported to be anywhere from 0.1% to 61%, depending on the definition of complications and covariates, including the type of procedure, anticoagulation, closure devices, age, sex, and co morbidities. Nurses need to develop safe protocols of care for patients post CC and PCI that are research and evidence based. Aim of the study: The aim of the present study was to determine incidence of post cardiac catheterization hematoma and bleeding and investigate the significance of risk predictors for these complications. Methods: The study was carried out at coronary care unit at the main university hospital, Alexandria University. Included 100 patients and an assessment tool was used to investigate the patients. It consisted of 3 parts Patients characteristics, information of Cardiac catheterization and risk factors. Results: It was found that hematoma occurred with 31% of the studied sample. In addition diabetes mellitus was risk factor for the occurrence of hematoma with significant difference 0.038. Sex, age, smoking, hypertension, hypercholesterolemia, myocardial infarction, indication, type of procedure, BMI, French sheath size, PCI and compression time cannot be considered risk factors for the occurrence of hematoma. Conclusion: Cardiac catheterization staff and nurses caring for these patients must work together to prevent complications, when possible, and treat complications when they occur. Diligent assessment and monitoring are required to meet these goals. Nurses with specialized training are needed to assess, identify and manage vascular. [Intessar Mohamed Ahmed. Predictors of Post -Cardiac Catheterization Femoral Artery Hematoma and Bleeding. J Am Sci 2015;11(3):16-22]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 3
Formulation and in vitro evaluation of Bilayer Tablets of Zolpidem tartrate for Biphasic Drug Release

The objective of this present study was to design bilayer tablet of Zolpidem Tartrate (ZT) for biphasic release and in vitro evaluation of the same. Bilayer tablets comprised two layers, i.e. immediate release and controlled release layer. The immediate release layer comprised croscarmellose sodium as a super disintegrant and the controlled release layer comprised HPMC K100M as the release retarding polymers. Direct compression method was used for formulation of the bilayer tablets. In vitro dissolution studies were carried out in a USP apparatus I, basket method. HPMC K100M extended the release of drug from the extended release layer for 6 hr. FTIR studies revealed that there was no interaction between the drug and polymers used in the study. The release of Zolpidem Tartrate was found to follow a pattern of Korsmeyer-Peppas, with Quasi-Fickian diffusion. Accelerated stability studies were carried out on the prepared tablets in accordance with ICH guidelines. There were no changes observed in physicochemical properties and drug release pattern of tablets. Biphasic drug release pattern was successfully achieved through the formulation of bilayer tablets in this study.
A COMPARATIVE STUDY OF CROSSOVER OPERATORS FOR GENETIC ALGORITHMS TO SOLVE TRAVELLING SALESMAN PROBLEM

Genetic algorithms (GAs) represent a method that mimics the process of natural evolution in effort to ﬁnd good solutions. In that process, crossover operator plays an important role. To comprehend the genetic algorithms as a whole, it is necessary to understand the role of a crossover operator. Today, there are a number of different crossover operators that can be used , one of the problems in using genetic algorithms is the choice of crossover operator Many crossover operators have been proposed in literature on evolutionary algorithms, however, it is still unclear which crossover operator works best for a given optimization problem. This paper aims at studying the behavior of different types of crossover operators in the performance of genetic algorithm. These types of crossover are implemented on Traveling Salesman Problem (TSP); Whitley used the order crossover (OX) depending on specific parameters to solve the traveling salesman problem, the aim of this paper is to make a comparative study between order crossover (OX) and other types of crossover using the same parameters which was Whitley used
A STUDY OF SPIRITUAL INTELLIGENCE IN RELATION TO ACHIEVEMENT IN SCIENCE AMONG SECONDARY SCHOOL STUDENTS IN COIMBATORE EDUCATIONAL DISTRICT

As a nation, the India is failing to compete globally in academic achievement. The problem addressed in the current study is twofold, with both components dealing with student underachievement. The first concern is that students are failing to reach individual potential, and second that the country is failing in global academic competition. The search for valid solutions to remediate underachievement has yielded non-traditional methods of internal motivation and resiliency with emotional and even spiritual implications. Consequently research needs to be conducted to verify if in fact a student’s spiritual intelligence acts as an internal motivator that encourages or predicts his or her achievement. Therefore, the current study investigated was the effect of a secondary student’s spiritual intelligence on his or her achievement in Science subjects. The study aimed to study of spiritual intelligence in relation achievement in science among secondary school students. The study was conducted on a sample of 300 secondary school students. Sampling was done through proportionate stratified technique giving dual representation to the various strata like sex, location, type of institute, medium of institute, religion, community etc. The findings reveal that the causes of spiritual intelligence among the secondary school students differ on the basis of Gender at different board; this may be due to the fact that the male and female students perceive spiritual intelligence merely as a subject and does not provide equal attention as to other subject.
REVIEW ON: MIMO-OFDM IN RAYLEIGH FADDING CHANNEL WITH LDPC

— To analyse and improve the performance of MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system in Rayleigh Fading Channel. MIMO-OFDM system is very popular technique for mobile communication . The objective is to analyses the performance of system. here describes the results based on the Ergodic capacity with various number of transmitting and receiving antennas and performance measures in SNR , BER etc . We find Ergodic channel capacity has some limitation in MIMO-OFDM system. Ergodic channel capacity optimization is necessary and improves the performance of MIMO-OFDM System. For improving the system performance we have work on LDPC encoder and 64 QAM modulation techniques. Also we propose to improve the cost and will try to ensure that complexity of system does not increase. We have described the new combined method that consists of a cooperative approach of several different algorithms for improving the performance of system.
Session Based Protocol: Data Sharing in an Overlay System

-Overlay network such a network in which no existence of any server. It is recommended research spot for network architecture. There are various applications which can be deployed on this architecture. Overlay network is more reliable and efficient for sharing data. There are a variety of approaches exists which need to improve the overlay system efficiency. In overlay network instead of a centralized server every node has equal potential and priority. Peer’s age not fix in the overlay network node may leave or join network frequently. Paper addresses the problem of extremely temporary populations in unstructured and loosely structured peer-to-peer (P2P) systems. In existing system query strategy is based on flooding where every query propagated to all achievable nodes inside certain area of network. This approach faces the limitation of scalability. In this paper, a session based approach for query supply, cashing and duplication is discussed. The problem of high temporary node in unstructured and loosely structured in P2P system can be solved by session based approach.
Analytical Method Development and Validation of Cetirizine Hydrochloride and Phenylephrine Hydrochloride in Combined Dosage Form

A newer, simple, rapid, accurate, precise and sensitive Absorbance ratio and Area under curve methods are developed for the simultaneous estimation of Cetirizine Hydrochloride (CTZ HCl) and Phenylephrine Hydrochloride (PHE HCl) in combined dosage form. The methods employed were I) absorbance ratio and II) area under curve (AUC) method. Beer’s law was obeyed in concentration range of 5-25 μg/ml for both drugs and for both proposed methods. The first developed method makes use absorbance ratio method using wavelength at 219 nm (isoabsorptive point) and 230 nm (λmax of CTZ HCl). The second method is area under curve method in which Sampling wavelengths range selected are 225-235 nm and 268-278 nm with linearity for CTZ HCl and PHE HCl respectively. The results of the analysis were analyzed and validated statistically and recovery studies were carried out as per ICH guidelines. It can be used for routine analysis of both drugs in bulk as well as in pharmaceutical formulations.
A Radial Segmentation Adpative Dual Tranformation Approach for Visual Cryptography

: Visual cryptography is the most adaptive encoded measure applied on multimedia information object. In this encoded method, the visual features of image is processed under algorithmic specification to perform image encoding. In this paper, a radial segmentation adaptive dual transformation method is provided for effective visual cryptography. In first phase of this model, the radial segmentation is applied over the image to generate the circular blocks over the image. In second phase, the redial transformation is applied over the image with specification of angle and segmented pixels. In third phase, the bit group adaptive horizontal tranforation can be performed. The work is applied on multiple real time images. The results shows that the model has provided effective image encoding and recovery.
A QOS-Aware Semantic Web Services Selection Modelfor Tourism

Current searches web services can be found at Public UDDI but the results of the search may not be complete. Because used keyword matching for searching and some web services may relativity with keywords it was not discovered this relationship is called semantically of relation. On the Web service was discovery. How can we know that the quality of web services. This research presents the model semantic web services selection. By thinking into the quality of service and a web service-related travel. Take a concept ontology to development semantic searching. And calculate the quality service of website that is make web search data more efficiently.