Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Lane Detection Based on the B-Spline Fitting

— Lane detection is a key problem in driving assistance system. In this paper, a novel real time lane detection method is proposed to detect the lane marking lines based on generating a top view of the road, the region of interest (ROI), filtering using selective oriented Gaussian High pass filter, using Hough transformation and Kalman filter to a new and fast algorithm for fitting Bezier Splines. Our experimental results and accuracy evaluation show that our algorithm has good precision and our detecting method is suitable for various conditions.
Improvement of Fuzzy C-Means by using variance-based weighted Feature

– Fuzzy algorithm is one of the most powerful clustering algorithm, but in analysis maybe some features importance than other. Therefore to solve this problem, weighted features C-mean clustering provided. Nevertheless, in weighted features clustering algorithm they are some problem. For example, during the training phase the weights are not automatically weighted. This paper shows that the feature-weighted clustering can improve the performance of fuzzy c-means clustering. We propose a new weighted feature fuzzy c-means clustering algorithm in which way that this algorithm be able to obtain the importance of each features. An Experimental results on two datasets, show that our proposed method have better performance than FCM algorithm.
Characteristics of the Sedimentary Microfacies of Fuyu Reservoir in Yushulin Oilfield, Songliao Basin

Fuyu Reservoir is the major oil-bearing horizon of the Member 4 of the Lower Cretaceous Quantou Formation of the Yushulin Oilfield of the Songliao Basin,China. The Yushulin Oilfield developed large shallow-water deltas. There are ploblems of complicated oil distribution, ambiguous oil-water relationship, halfway research of sedimentary microfacies and so on in Fuyu oil layer of Block Shu 8 of the Yushulin Oilfield at present. Based on 212 well loggings, by ways and principles of Sequence Stratigraphy, single-well facies, logging facies, connecting-wells and plane sedimentary microfacies, guiding ideologies of sedimentary cycle, method of self potential, natural gamma, Acoustic time, resistivity logging and other typical curves, the Fuyang Reservoir Fuyu was finally divided into 3 single layers, 30 sedimentary timing cells and construct stratigraphy framework basically. On this basis, FI oil layer of the research area, developed delta front, delta plain subfacies,underwater distributary channel, sand sheet, distributary channel, crevasse splay, overbank sand and abandoned channel micro facies.
Underwater Optical Image Dehazing Using Fast Guided Trigonometric Bilateral Filtering

This paper describes a novel method to enhance underwater optical images by dehazing. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, like fog or turbid water which contains abundant particles, plankton etc. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Our key contribution is to propose a fast image and video dehazing algorithm, to compensate the attenuation discrepancy along the propagation path, and to take the influence of the possible presence of an artificial lighting source into consideration. The enhanced images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges are enhance significantly. In addition, our enhancement method is comparable to higher quality than the state-of-the-art methods.
INSTITUTIONAL INFLUENCE ON THE INTERREGIONAL DISPARITIES IN THE SOCIO-ECONOMIC DEVELOPMENT IN UKRAINE

This study examines institutional infl uence on the interregional disparities in socio-economic development in Ukraine. The research methodology is based on the new institutional approach and application of regression analysis: three empirical models consisting of the coeffi cients of variation of gross regional product per capita, available income per capita, salary per employee in place of dependent variables, and institutional governance indicators in place of independent ones, are tested on a linear correlation. The empirical evidence indicates the correlation between available income variation and institutional governance is insignifi cant, but that there is a strong and signifi cant correlation with gross regional product and salary. Our preliminary assumption on the negative sign of regression parameters does not come true; therefore, we conclude that the positive nature of institutional infl uence on the interregional disparities in Ukraine could be explained by the resource-oriented structure of Ukrainian economy: overall economic growth leads to speeding-up of economic development of the leading regions, which in turn, causes deepening interregional disparities.
Vehicle License Plate Detection and Recognition Based on Contour Extraction in Various Environments

 Abstract In this paper, we have tried to detect the area of the license plate in the environment of the vehicle and recognize the characters in the detected license plate area. We propose a method to detect the license plate based on contour extraction that adapts to the surrounding environment and a method of recognizing characters by template matching in detected license plate area. The proposed method is divided into the detection of license plate area and the character recognition in the license plate area. DoG(Difference of Gaussian) and Morphology operation were used to emphasize the character part outline, and the license plate was detected by determining the aspect ratio of the characters. And the character recognition process was performed with the detected license plate area. Through noise remove and normalization, characters were segmented by vertical histogram. The template was matched with the divided characters to recognize the characters. In this study, we used 130 different vehicle image data such as vehicle license plates, which are inclined in front of the vehicle, and license plates with changes in the environment around the vehicle. In the detection plate area, the character recognition rate was 96% in the case of the slanted plate, 93% in the various background environment, and 97% in the plate image of the front face.
Security Enabled Junction-Based Multipath Source Routing Algorithm for VANETs

Ab stract — Junction Based Multipath Source Routing Algorithm(JMSR) is a geographic routing protocol, in the sense that it exploits the location of the nodes and also of the street junctions, known via digital street maps. JMSR is characterized as junction-based because it is a geographic or position-based routing protocol, where the junctions’ positions are of much higher importance than the positions of the nodes themselves. The disadvantage of JMSR is that it does not specify how routing happens in presence of a malicious node. An improvement of JMSR is proposed through this paper. In this paper a method is discussed to deal with malicious nodes in VANETs.
Physicochemical and Pasting Chracterization of Carboxymethylated Scarlet Runner Bean (Phaseolus coccineus) Starch

Starch extracted from scarlet runner bean was subjected to carboxymethylation using sodium monochloroacetate in the presence of sodium hydroxide. Some physicochemical properties, proximate composition, and the pasting properties of the carboxymethylated scarlet runner bean starch (CM-SRBS) were compared with those of the native scarlet runner bean starch (NA-SRBS). Proximate composition studies show a significant rise in the moisture and ash content with a drop in the protein, fat, crude fiber and carbohydrate content in carboxymethylated scarlet runner bean starch compare to native scarlet runner bean starch. Physicochemical studies show higher water and oil absorption capacity for carboxymethylated scarlet runner bean starch, while the swelling property and solubility of the carboxymethylated scarlet runner bean starch is shown to be higher with relative increase with increase in temperature. The pasting properties of carboxymethylated scarlet runner bean starch compare to native scarlet runner bean starch are generally lower. These changes in the properties of native scarlet runner bean starch compared to its corresponding carboxymethylated scarlet runner bean starch can in many ways improve its industrial application and contribute to a sustainable development.
Isolation and Identification of Homolactic Bacteria from Solanum melongena L. with Antibacterial Activity that Improve Vegetable Fermentation

The aim of this work was the isolation and identification of lactic acid bacteria with homolactic metabolism from eggplant; the lactic acid production and antibacterial activity were adopted as selected criteria to be included in the elaboration of fermented carrots as starter cultures. Between 50 isolated colonies, 14 were identified as lactic acid bacteria with homolactic metabolism, but only lactic acid bacteria identified phenotypic and genotypic as Lactobacillus plantarum were effective to produce cellular death and inhibit biofilm formation of five pathogenic bacteria. L. plantarum SB1 and SB2 were included in carrot fermentation on the basis of the best lactic acid production, antibacterial activity as well as the lowest C4 compounds and H2S formation. The scalded process was not enough effective to reduce Gram negative bacteria, but the addition of the selected bacteria isolated from eggplant to fermentation was effective to reduce all Gram negative population at 7 day. The big finding of this work was the isolation and identification of L. plantarum SB1 and SB2 from eggplant that could adapted in an different ecological niche and their addition to fermented carrots increase stability and microbiological safety of final product, preventing infectious diseases, with optimal sensorial attributed. Keywords— Lactic acid bacteria, carrot fermentation, culture started, antibacterial activity, biofilm inhibition.
The incidence of retinal redetachment after Pars plana vitrectomy with 360°endolaser.

Purpose: To evaluate the incidence of retinal redetachment after pars plana vitrectomy (PPV) with 360° laser for the treatment of primary Rhegmatogenous retinal detachment (PRDD). Methods: A retrospective review of 1,063 eyes after primary PPV and 360° laser retinopexy for PRRD between 2004 and 2014. Different parameters were analyzed for their influence on the redetachment rate. A multivariate regression analysis was performed. Results: The mean age was 61.49 ± 11 years. The Phakic status did not influence the success rate. The most common cause of redetachment was leakage through the original retinal tear (35.53%). Mostly, retinal breaks occurred in the superior quadrant (55.22%). The location of the break had no significant influence on the reoperation rate. Multivariate analysis identified the use of an encircling band as the only factor significantly associated with a lower reoperation rate. Conclusion: Primary vitrectomy combined with 360° laser therapy is an effective treatment in patients with PRRD. The primary anatomic success rate was 91.16%. The only factor that influenced the outcome was the positive effect of an encircling band.
Secure image transformation using Encryption and Compression techniques

: A novel scheme of compressing encrypted images with auxiliary information is proposed. The content owner generates some auxiliary information and also encrypts the original uncompressed images that will be used for data compression and image reconstruction. After that, the channel provider who cannot access the original content may compress the encrypted data by a quantization scheme with optimal parameters that are derived from a part of auxiliary information and compression ratio-distortion criteria, and then transmit the compressed data that includes the quantized data, an encrypted sub-image, another part of auxiliary information and the quantization parameters.The principal image content may be rebuilt with the compressed encrypted data and the secret key at receiver side. In the proposed system, cryptography and Steganography methods is combined into one system for getting a better security and confidentiality.
Survey of Review Sentiment Analysis through Text Classification and Text Clustering

: Review or Feedback is essential in marketing for any business or product. Review is all about the customer opinion. We collect reviews for mobile phone and apply text classification naïve bayes technique. It removes whitespaces web link, punctuations and numbers and collect those which reflect sentiment and then create word cloud with those words. count the positive, negative and neutral comment and then apply text clustering k-means algorithm and it create three clusters one for positive, one for negative and last one is for neutal.
A Competent Approach for Extracting and Visualizing Web Opinions Using Clustering

- Huge amount of Web opinions are available in the social sites due to the development of web Communication. Web opinion acts as a boundary between the Web users and I n t e r n e t . It allows t h e users to communicate and articulate their opinions without eye to eye contact. Nevertheless the clustering and visualizing of the web opinion is a not a trouble-free task. The obtainable Document Clustering Algorithm differs from the Web opinion clustering Algorithm. Basically, the web opinions are derived from the social networks which are user generated content. Visualizing the social network helps in preventing the Crimes, Terrorists activities and improving the Business, Political Activities in an efficient way. The scalable distance based Clustering Algorithm enables the recognition of topics within discussions in web social networks and their growth. The predefined set for clustering is valuable in web opinion clustering. In Existing Scalable Distance Based Clustering Algorithm for Web opinion Clustering has its own Limitation that is the Macro and Micro Level Accuracy. In this Paper, We improve the accuracy level by combining the SDC Algorithm with the proposed MaxEnt Re-ranking Method. When we compare MaxEnt Ranking method with p-norm Push Ranking Method, the MaxEnt Ranking method Provides Higher Accuracy and recall level.
SQNR and Sampling Frequency Analysis of 4 th order VCO-Based ADC using Phase Detector as a Loop Filter

This paper presents the SQNR and sampling frequency analysis of 4 th order VCO based ADC. The 4 th order VCO-ADC has been explored on 50 nm MOCMOS technology which measures SQNR of 76.8 dB over 127 GHz frequency and 304.8 GHz sampling frequency using 5V supply. The quantization error has been fed in the feedback loop to perform the noise shaping.
Evaluation of Cardiac Changes in Hyperlipidaemic Rheumatoid Arthritis Patients

Objectives: To evaluate the prevalence of echocardiographic evidence of cardiac lesions among rheumatoid arthritis (RA) patients free of cardiac complaints and its relation to the presence of dyslipidemia and disease activity scores. Patients & Methods: The study comprised 100 patients with RA fulfilling ACR criteria. All patients underwent clinical evaluation of disease activity using the disease activity score, using a 28 joint score (DAS-28), pain visual analogue scale (VAS) and calculation of the Disability Index (DI). Then, all patients underwent trans-thoracic Echocardiography and gave fasting blood samples for estimation of serum lipids. Results: Lipid profile assessment defined 33 dyslipidemic RA patients (Group A) and 67 RA patients with near normal lipid profile (Group B). Dyslipidemic RA patients were significantly older with significantly longer disease duration and significantly higher DAS-28 and pain VAS scores. Fifty-nine RA patients had valvular affection; 27 patients were non-dyslipidemic and 24 were dyslipidemic RA patients with significantly higher frequency of patients had valvular diseases in dyslipidemic RA patients. Fifty-three (53%) patients had myocardial affection in the form of left ventricular diastolic dysfunction, wall motion abnormalities and dilatation of the wall. The frequency of myocardial affection in group A was significantly higher compared to its frequency in group B. Sixteen patients showed evidence of pericarditis; 6 in group A (18.2%) and 11 in group B (16.4%) with non-significantly higher frequency in group A. Conclusion: RA patients free of cardiac complaints are at a definite risk of having hidden or quiescent cardiac affection especially if they were dyslipidemic. The obtained results spotlight on the necessity for cardiac screening programs for RA patients for early detection of cardiac affection prior to be symptomatized and control of both RA activity and dyslipidemia is mandatory for minimizing the cardiac risk in RA patients [Khaled Amer, Ahmed M. Ibrahim, Hosni A. Younis and Mohamed M. Ahmed. Evaluation of Cardiac Changes in Hyperlipidaemic Rheumatoid Arthritis Patients. Journal of American Science 2012; 8(3):517-522]. (ISSN: 1545-1003). http://www.americanscience. org.69
DEVELOPMENT AND VALIDATION OF A SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF SAQUINAVIR IN BULK DRUG AND PHARMACEUTICAL FORMULATION

A simple, sensitive and accurate spectrophotometric method has been developed for the determination of saquinavir in bulk formulation. The λ max of the saquinavir was found to be 240nm in 20%methanol. The method shows high sensitivity with linearity 5 to 25μg/ml (regression equation: Y=0.0221 + 0.066; r 2 = 0.999). The apparent molar absorptivity was found to be 3.436x10 4 mol−1 cm−1 in 20 % Methanol. These methods were tested and validated for various parameters according to ICH guidelines and USP. The Detection limit and quantitation limit were found to be 0.138 μg ml–1 and 0.420 μg ml-1 in 20%Methanol respectively. The results demonstrated that the procedure is accurate, precise and reproducible (relative standard deviation < 2%), while being simple, cheap and less time consuming and can be suitably applied for the estimation of. saquinavir in bulk and pharmaceutical formulation. © 2011 Universal Research Publications. All rights reserved
Color Histogram and Multi-resolution LMEBP Joint Histogram for Multimedia Image Retrieval

: In this paper, color histogram and multi-resolution local maximum edge binary patterns (LMEBP) joint histogram are integrated for content based image retrieval (CBIR). The local region of image is represented by LMEBP, which are evaluated by taking into consideration the magnitude of local difference between the center pixel and its neighbors. This LMEBP differs from the existing LBP in a manner that it extracts the information based on distribution of edges in an image. Further the joint histogram is constructed between uniform two rotational invariant first three LMEBP patterns. The color feature is extracted by calculating the histogram on RGB spaces. The experimentation has been carried out for proving the worth of our algorithm. It is further mentioned that the databases considered for experiment are Corel-1K and MIT VisTex. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to previously available spatial and transform domain methods on their respective databases.
Fast Search Fractal Image Compression Using PSO Based Optimization Technique

In traditional fractal image compression, the encoding procedure is time-consuming due to the full search mechanism. In order to speed up the encoder, we adopt particle swarm optimization method performed under classification and Dihedral transformation to further decrease the amount of MSE computations. The classifier partitions all of the blocks in domain pool and range pool into three classes according to the third level wavelet coefficients. Each range block searches the most similar block only from the blocks of the same class. Furthermore, according to the property of Dihedral transformation, only four transformations for each domain block are considered so as to reduce the encoding time. Experimental results show that, the encoding time of the proposed method is faster than that of the full search method. Experimental results show that the proposed method is about 181 times faster with only 1.56dB decay in image quality.
A Survey of Various Load Balancing Techniques and Enhanced Load Balancing Approach in Cloud Computing

--The Cloud Computing data Centre has abundant hosts as well as Solicitation requests. A Cloud Computing platform that manoeuvre behind the corporate firewall and within control of an organisation IT department. Cloud deals numerous aids such as self-service, agility, efficiency, security, better resource utilization and faster time to market. To improve the working enactment of the cloud service provider load balancing is one of the indispensible aspects. Load Balancing distribute the dynamic workload across all nodes based on some prediction. In cloud, Load Balancing as a technique is realistic across different data centre to ensure the network convenience by diminishing use of computer hardware, Software catastrophes and proper resource utilization. In this paper, discuss the available techniques of load balancing and comparing all techniques with already available techniques and environment of algorithm.
Detection of Road Surface Conditions in Winter using Road Surveillance Cameras at Daytime, Night-time and Twilight

Summary Detection of road surface conditions is a critical issue for safe driving in winter. Because the stopping distance of vehicles on snowy roads is considerably longer than in dry conditions. Conventional detection methods face many problems such as deployment costs and detectable period of time. In this paper, we propose a method for detecting the road surface conditions that is time-independent. The method for detecting the road surface conditions is based on texture features and the Mahalanobis distance by using the road surveillance cameras. It has been concluded that road surface conditions can be identified as wet or snow at daytime, night-time and twilight.
Face Authentication Application for Social Networking Site

— In this project an access control system is integrated with a face authentication system. From the given image, face detection system locate size and scale of human faces. First step for Face localization, Face Tracking, Facial Expression Recognition, and Face Recognition is Face detection. Detection of faces within an image can be done accurately and rapidly using a method introduced by Viola and Jones [1]. This technique accurately detects facial features.
Stabilization of Chaotic Nonlinear Perturbed Dynamical System via Linear State Feedback Controller

Chaos in nonlinear dynamical system is roughly defined as the presence of extreme sensitivity to perturbations, the problem formulation of a non linear control problem in the presence of system chaos and perturbation have been presented. The necessary condition for controllability, solvability and stabilizability has been developed. The linear state feedback controllers with certain requirements have designed via Lyapunov's second method approach so that the chaotic system behavior is modified into the stabilized one. Illustrations are implemented with rate of convergence requirements.
A WELL SECURED AND EFFICIENT DATA EMBEDDING TECHNIQUE COMPARISON BASED ON LSB REPLACEMENT AND PIXEL PAIR MATCHING METHOD

This paper proposes the data hiding method comparison using pixel pair matching method and LSB replacement for secret data communication using steganography and cryptography techniques. LSB is the direct replacement of LSBs of noisy or unused bit of cover image with secret message bits which uses integer wavelet transform. In PPM a pixel pair created is replaced by the searched coordinate to conceal the message. Diamond encoding is used in PPM for region selection in the image. The MSE and PSNR parameters are measured and compared for PPM and LSB replacement methods. Then the best performance method is selected