Miracle-dz/UniFAR-FTUs huggingface dataset:
An Advanced Precision based Approach to String Transformation

: Distinct obstacles occur in Natural language processing, Knowledge Engineering, Information Retrieval, Genetics Informatics, Computational molecular biology and Data Mining concerned to String Transformation. Consider an input string, the system automatically produces top k output strings referring to input string. Generally people perform various kinds of spelling errors such as misspell words accidentally while surfing the web. To circumvent such errors, this Paper propounds an advanced Precision based approach to string transformation which is very accurate. The proposed system comprises unique precision value allocated to each alphabet and these are aggregated to give the Total Precision of the particular word. Data sets are trained with the precision based approach by validating them to dictionary called the database. Misspell word precision is compared with the data sets precision and retrieves the top k nearest neighbour output strings relevant to input string. This is one of the best accurate Misspell word and sentence correction approach and experimentally proven on large data sets.
A REVIEW ON AUTOMATED IMAGE MOSAIC USING PCA

— When image capturing devices are not able to accommodate image in a single frame then the technique used to join number of images taken sequentially is called image mosaicing. In other words, it is normally used to make up a seamless and high resolution image with a set of partial images. So the image mosaic is an increasingly popular field of research. In general, there are two basic steps of image mosaicing. First is Image Alignment and second is Image Stitching. This project introduces an emerging image mosaicing technology based on PCA i.e. Phase Correlation Algorithm. In this paper, correlation-based scheme is used which operates in the Fourier domain for finding the transformed coordinates (translational parameters) and use it for Image Mosaicing.
Phytotoxicity effect of Silver nanoparticles on Oryza sativa

Phytotoxicity on Oryza sativa was studied by directly exposing it to silver nanoparticles solutions. Seedlings were allowed to grow at room temperature in Hoagland’s nutrient solutions prior to treatment. Particles were prepared in distilled water by Chemical reductions method. U.V-Vis spectra analysis confirms its formations at 400 nm wavelength. 12 days of phytotoxicity periods in 1000μg/ml concentrations of silver nanoparticles leads to adverse effects on plant species. Analysis of particles was initially determined by XRD spectrophotometer and was found to be 25 nm in size. FTIR spectrophotometer results shows that there is change in intensity and shifts in positions of peak in treated roots as compared to control sample. Slight variations in peaks and its intensity of Oryza sativa roots confirm involvement of functional group such as carboxyl, Amine, hydroxyl etc in nanoparticle binding. TEM images revealed that various particle sizes deposited inside the root cells. Interestingly, it was found that during penetrations of particles inside the roots cell, they damaged the cell wall as well as vacuoles to enter. It may be due to the penetrations of large particles entering through small pores of cell walls. This study directly tells the relevant of effects of silver nanoparticles inside cellular mechanisms during phytotoxicity periods.
Secondary Goal in DEA Cross Efficiency Evaluation

Data envelopment analysis (DEA) is a method for estimating efficiency of decision making units (DMU). The method done by means of weighted output to input ratio with the weights being optimal virtual prices of such activities for all units. Cross efficiency evaluation has long been proposed as an alternative method for ranking DMUs. The major problem that reduced the usefulness of cross efficiency evaluation method is that, the cross efficiency score because of alternative optimal cross efficiency may not be unique. In order to resolve this problem, another secondary goal is introduced in this research to reduce the alternative optimal cross efficiency on the base of linear programming and to improve the secondary goal proposed by Doyle et al (1994). A numerical example is then provided to illustrate the capability of this new DEA model.
SCREENING FOR SIDEROPHORE AND AMMONIA PRODUCTION FROM RHIZOSPHERE ISOLATES OF ORYZA SATIVA

The Rhizosphere is biologically and chemically highly diverse, complex and dynamic interaction occurs between plant roots, soil (micro) biota and the physicochemical conditions of the soil. The autotrophic plant partner is providing substrate and energy flow into the rhizosphere and gets in return essentials for its development and growth: nutrients, minerals and water. Heterotrophic soil biota usually are limited in the supply of carbon and energy and thus a complex sequence of responses are initiated, which in due course also influence the plants. In the present study the microorganisms were isolated from the rhizosphere soil of rice from nine different locations in and around Bangalore to understand the diversity of the microorganisms, interaction and to determine the siderophore activity and production of ammonia of the isolates. A total of 116 micro organisms were isolated of which 110 were bacterial isolates and 6 Actinomycetes. 53 bacterial isolates found to be morphologically different were used for the current study. 6 isolates out of the 53 microorganisms showed positive results for the production of siderophore by forming orange yellow halo zones on CAS agar media plate. R-19 isolate showed the highest zone and was considered as the highest producer of siderophore. Whereas 36 isolates showed positive for ammonia production out of which 6 isolates showed maximum production and 12 isolates with fairly good production.
A MODEL FOR THE FLOW OF NATURAL GAS THROUGH A PIPELINE IN TWO-DIMENSIONAL CYLINDRICAL COORDINATES

A model for predicting flow properties in a natural gas pipeline is presented in this paper. The method involves a two-dimensional gas pipeline model in axisymmetric cylindrical coordinates. The flow is assumed compressible and steady. Steady compressible natural gas flow through a pipeline was studied by the use of a finite volume method. First, the standard turbulence equations were modeled together with the Navier Stokes System of equations via the Reynolds-Averaged method. The Soave-Redlich-Kwong equation of state was also included as an auxiliary equation. Finally the Pressure Implicit with Splitting of Operators (PISO) applied on a staggered grid was used as method of solution. Computer simulation was then carried out to determine pressure, density, velocity, temperature, eddy viscosity, turbulence eddy dissipation and turbulence kinetic energy variation within the pipeline system. Parametric analysis was also carried out.
Effect of Polypropylene Fiber Addition on the Flexural Strength, Fracture Toughness, and Hardness of Heat-Polymerized Acrylic Resin

Purpose: Polymethyl methacrylate (PMMA) suffers from poor mechanical strength and far from ideal for maintaining the longevity of denture. The purpose of this study was to evaluate the effect of polypropylene fiber powder with concentration 10% by weight of the acrylic resin polymer powder on the flexural strength, fracture toughness, and hardness of heat-polymerized acrylic resin. Materials and Methods: Polypropylene fiber powder with concentration 2% by weight of the acrylic resin polymer powder were incorporated into heat-cure acrylic resin (PMMA) and processed by proportion (2.5:1 Powder/monomer ratio then packing and finally water bath curing for 2 hours at 95 ̊C) to fabricate test specimens of PMMA of dimensions (65 mm length x 10 mm width x 2.5 mm thickness) were used for measuring flexural strength, fracture toughness, and (30 mm length x 10 mm width x 2.5 mm thickness) for measuring surface hardness were prepared according to International Standards Organization (ISO) Specification No.1567. PMMA without additives was prepared as a test control. This types of mechanical tests; flexural strength, fracture toughness and hardness were carried out on the samples. The recorded values of flexural strength in (MPa), fracture toughness in (MPa.m1/2), and hardness (VHN) were collected, tabulated and statistically analyzed. One way analysis of variance (ANOVA) and Tukey’s tests were used for testing the significance between the means of tested groups which are statistically significant when the P value ≤ 0.05. Results: Addition of polyethylene fiber to PMMA significantly increased the flexural strength, fracture toughness and hardness. Conclusion: These results indicate that polyethylene fiber added to PMMA has a potential as a reliable denture base material with increased flexural strength, fracture toughness, and hardness. According to the results of the present study, the best mechanical properties were achieved by adding polypropylene fiber powder with concentration 2 % by weight on acrylic resin polymer.
A Novel Approach for Automatic Control of Road Traffic Congestion using Image Mosaicking Technique

--As the major problem of urban and developed cities is spreading of traffic congestion day by day. For which, there is a pressing need of advanced technology to provide reliable results with improvement of the state of the art of traffic control mechanism. As on date, Traffic problems are increasing with a higher rate around the world because of the number of vehicles are increasing by leaps and bounds beside the resources available with the current infrastructure are limited. Now as existing methods to solve traffic congestion problem;the manual identification of control points and tedious several automatic techniques have been developed. But these all techniques may be time consuming. So thispaper discuss, amethodology named “Structured System Analysis” to analyze the existing traffic congestion problem and designinga new model by using image mosaicking techniques. This paper proposes a new approach for dynamic and automatic traffic light control system using image mosaicking techniques. Generally Image Mosaicking is a method of assembling multiple overlapping images of the same scene into a larger image.In thisproposed model, Image registration is an important operation in remote sensing applications that basically involves the identification of many control points in the images. Finally in this paper, we will identify the problems with current traffic control system and thenwe will design and analysis to a new effective system.
Implementation of Image Scalar based on Bilinear Interpolation Using FPGA

—In this work, A bilinear interpolation method is been used to improve the quality of the Scaled image. A high quality algorithm is proposed which includes sharpening spatial filter and clamp filter used as a combined filter to preprocess the image before interpolating. This increases the quality of the image and as well reduces the drawbacks such as aliasing artifacts produced from bilinear interpolator. some of the other major improvements of this algorithm say utilization of T & inverse T model kernel for combined filter consists of RCU (reconfigurable calculation unit) to control filter operations reduces the memory buffer and Hardware, Reduction in the bilinear interpolation computation results in lesser area for the design in VLSI intern increases the speed and reduces power, cost of overall implementation. This work achieves 168.18MHz with 1.507K gate counts. It is implemented using Xilinx 13.4. Compared to previous low complexity techniques, this method produces better image quality.
ANN Based Emotion Recognition

The measurement using EEG has enabled the researche brain of post-synaptic potentials in neurons, which features which consists of event related brain potential components that are collected by the means of technique called electroencephalography (EEG) unpleasant and high valence or pleasant. selected for emotion quantification are data of 7 electrodes namely Cz, Pz, Fz Feedforward and Multilayer 2-hidden layer average accuracy obtained using Feed Multilayer 2-hidden layer Neural Network considered as a novel breakthrough in the Brain Computer Interface (BCI) implementation.
Automated polyp detection system in colonoscopy using deep learning and image processing techniques.

Introduction : Undetected colonic polyps are considered a major cause of interval cancer of the colon. The Automatic Polyp Detection System (APDS) (Magentiq Eye LTD, Haifa, Israel) was developed to enhance the ability of endoscopists to detect polyps during screening colonoscopy. It is designed to be used both in real-time and offline. APDS runs directly on the video output of the endoscopic camera and highlights the polyp on the screen. APDS utilizes the power of Deep Learning and Computer Vision in order to improve polyp detection rates thus improving the performance of the
Modeling of Three-Dimensional Soft Tissue Deformation with Dynamic Nonlinear Finite Element

Deformation of soft tissue is a significant simulation part in minimally invasive surgery. This paper presents a dynamic nonlinear finite element method for modeling of soft tissue deformation. This method models large-range deformation via the second-order Piola-Kirchhoff stress. It condenses the stiffness matrix to reduce the degrees of freedom of the entire soft body at each node for every time step to improve the computational performance. Simulations and comparison analysis show that the proposed method can predict the nonlinear behaviors of soft tissues and requires a small amount of time.
Incremental and Iterative Mapreduce for Mining Evolving the Big Data in Banking System

Big data is a broad term for datasets so large and complex that the traditional data processing applications are inadequate, so i2mapreduce based framework for incremental and iterative computations are done in big data. State level processing computation easily retrieve the data and also time consuming. Incremental and iterative mapreduce-mapreduce is the most widely used big data processing tool incremental processing is a promising approach to refresh the mining results. Use the same computation logic (update function) to process the data many times. The previous iteration’s output is the next iteration’s input, Stop when the iterated results converges to a fixed point. This concept using the online banking such as create account, withdraw, deposit and to get the details in a effective way. Finally, upload all the data to the cloud using AES algorithm. I2mapreduce is one step algorithm and four iterative algorithm with diverse computation characteristics. It is very secure to all the data are stored in binary format 0 and 1.
A SURVEY OF TROLLEY/WHEELCHAIR BASED SMART SYSTEM FOR EXCLUSIVE MEDICAL APPLICATIONS

1, 2, 3 UG Scholars, Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, Tamilnadu, India 4 Assistant Professor, Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract: A smart trolley (ST) is a power trolley (PT) to which computers, sensors (Proximity Inductive), and assistive technology (Arduino Controller, Bluetooth) are attached. This paper aims to provide a complete state-of-the-art overview of ST research trends. We expect that the information gathered in this study will enhance awareness of the status of ST technology. The proposed system is designed to provide better service for the patients, kids and aged people. It consists of a trolley provided with DC Geared Motors which is controlled through Android App or Voice Command. The trolley is sent and received where it is utilized by providing the needy by medicine, food and other supplies. This makes the aged one or the needy partially independent, still there must be a person to place the supplies on the trolley.
In Silico Docking Analysis of A-type Proanthocyanidins to α-Glucosidase Constructed by Correlation with in Vitro Bioassay

The type A proanthocyanidins (2−8) with (2β→O→7, 4β→8) interflavane linkage, isolated from Machilus philippinensis, have been found to possess inhibitory activity against α-glucosidase (EC 3.2.1.20 from Bacillus stearothermophilus). To rationalize such activity, computer assisted docking of these compounds and the positive control, acarbose, on the conformation model of α-glucosidase (AG), built by using human intestinal maltase glucoamylase as a template, was undertaken in this study. The result showed good correlation between IC50 values and docking scores, expressed as binding energy (ΔG), obtained from London (trimatch)-refinement (forcefield AffinityΔG) mode. Among these isolates, the most potent aesculitannin B (2) (IC50 3.5μM) showed the best docking score (ΔG -21.48 kcal/mol). Being interested in clarification of structure and activity relationship, virtual screening on the related compounds, including the de-unit III homologs of 2−8 (i.e., nor- series) and additional 13 stereoisomers of the trimeric 2 at the C-2 and C-3 positions of units II and III, was further carried out. This docking study indicated the de-unit III homologs of 2−8 did not have better binding energies than 2. As for the trimers, 3-entC, 3C-entE, 3ent-C, 3C, and 3ent, showed comparable docking score to 2. The verification of this virtual screening was partially done by evaluating the inhibitory activity of the dimeric 2-nor-ent, 3-nor, 3-nor-ent, and iso-2-nor-ent, isolated from peanut skins, against α-glucosidase. Of these, iso-2-nor-ent, the only proanthocyanidin with (2β→O→7, 4β→6) interflavane linkage, showed the best activity (IC50 9.72 μM). Their simulation profiles of docking score also displayed a reasonable qualitative consistency with the overall trend of the bioassay results. This study demonstrates that virtual screening using this built model to search α-glucosidase inhibitors is facile and feasible and peanut skin might be used as a hypoglycemic food.
Efficient and Enhanced Algorithm in Cloud Computing

 Abstract— — A class of systems and applications that procure distributed resources to execute the function in the decentralized manner is referred as cloud computing. It enables a wide range of users to access scalable, virtualized hardware, distributed and/or software infrastructure over the Internet. One of the challenging scheduling problems in Cloud datacenters is to take the allocation and migration of reconfigurable virtual machines into consideration as well as the integrated features of hosting physical machines. In order to select the virtual nodes for executing the task, Load balancing is a methodology to distribute workload across multiple computers, or other resources over the network links to achieve optimal resource utilization, minimum data processing time, minimum average response time, and avoid overload. The objective of this paper to propose efficient and enhanced scheduling algorithm that can maintain the load balancing and provides better improved strategies through efficient job scheduling and modified resource allocation techniques. Load balancing ensures that all the processors in the system as well as in the network does approximately the equal amount of work at any instant of time. The results discussed in this paper, based on existing Equally Spread Current Execution, Round Robin, Throttled and a new proposed enhanced and efficient scheduling algorithms.
BACK PROPAGATION NEURAL NETWORK TECHNIQUE FOR REDUCTION OF REAL POWER LOSS

In this work particle swarm optimization algorithm has been hybridized with Back propagation neural network (PSBP) to solve the reactive power problem. Proposed PSBP methodology improves search. PSO algorithm to optimize the original weight, threshold value and when the algorithm ends, optimal point can be found- on the base of PSO algorithm; Back propagation neural network algorithm to search overall situation and then achieve the network training goal. In the particle swarm, every particle’s position represents weights set among the network during the resent iteration. In order to evaluate the proposed algorithm, it has been tested on IEEE 118 bus system and compared to other algorithms and simulation results show that proposed algorithm reduces the real power loss effectively.
BAOJ Medical and Nursing Insight into Phenotypic and Genotypic Discrimination of Bacterial Pathogens: From Pre-Genomic to Post-Genomic Era

Bacterial genomes are highly compact and distinct in architecture compared to eukaryotic genomes. The ability to discriminate between pathogenic and non-pathogenic bacterial genomes has greatly facilitated the process of antibacterial therapy. The traditional methods of discriminating bacteria are based on phenotypic descriptions such as bacterial morphology and biochemical properties that imposed several limitations due to enormous biochemical diversity associated with bacterial metabolism and cell structure. In recent years, many different techniques have been developed as attractive alternatives to conventional approaches for identifying and discriminating bacteria employing microbiological methods. The advent of new technologies in ‘genomics’ based on elucidation of specific nucleotide sequences of genome have produced unprecedented levels of discrimination among different strains of pathogenic and non-pathogenic bacteria. The genome based characterization of bacteria using PCR and NextGeneration sequencing technologies have opened up a new avenue to efficiently discriminate and read the bacterial genomes in more rapid and accurate way, which had greater impact on the taxonomy and systematic of bacteria with respect to clinical diagnosis, public health and environmental monitoring of biological threat agent. These modern methods of discriminating bacteria are highly promising and provide most reliable and taxonomically relevant molecular information that serves a gold standard for rapid and sensitive detection of emerging bacterial pathogens.
A Low Latency and Power ASIC Design of Modular Network Interfaces for Network on Chip

: The implementation of a high-performance Network on Chip (NoC) requires an efficient design of the network interface (NI) unit that connects the switched network to the IP cores. However, different interfaces’ specification of integrated components and different flow control is used by NoC router raises a considerable difficulty for adopting NoC techniques. The architecture of NIs must be modular to allow IPs and interconnections to be designed independently from each other. The power of this NI should be small and its latency must be kept as low as possible. Previous studies show that the decrease of end to end latency between IPs cores can be done by reducing the latency of NoC components and decreasing the jitter between successive packets. In this paper, we present new modular NI architectures between IPs and router with low power and latency. Proposed NIs allows systematic design flow for accelerating the design cycle and hide implementation details of the network. The modular design is obtained through two separations between data flows and IP side and the network side. The low latency and jitter reduction between successive packets are obtained by a separation between header and payload memories. The low power is obtained through the implementation of these NIs using low power library with 130 nm technology. Experimental results show that the proposed NIs outperform conventionally architecture in terms of power and latency.