Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review On : PALM VEIN TECHNOLOGY

ABSTACT-Biometric Authentication is a system which deals with the physiological as well as behavioral traits of a person. Palm vein structure is unique for every human being even for the twins also. Palm vein authentication has a high level of authentication accuracy due to the uniqueness and complexity of vein patterns of the palm. Because the vein patterns of palm are internal to the body, they are a impossible to forge. Also, the system is non-intrusive and hygienic for use in public areas. It is more accurate than other biometric authentication such as face, iris, and retinal authentication system. In this paper we study the palm vein technology, various approaches for different kinds of palm vein features extraction ,various palm vein segmentation schemes, accuracy and processing speed of various approaches
Smart Embedded Device for Object and Text Recognition through Real Time Video Using Raspberry PI

Object recognition, text recognition, face recognition, navigation is a challenging problem in real world scenario particularly in developing advanced technology to assist for people. The complexity of recognition for a system is difficult because of having the objects and texts are having variations in sizes, shapes, mixed with complex backgrounds and having different lighting condition.We proposed a smart embedded device that consists of five switches to recognize objects and text information from videos, images, documents and pdf files. For recognizing the object, the image data is captured by using pi camera and is processed on Raspberry pi by using SSD method for detecting objects in captured data by a single deep neural network to provide a fixed size bunch of bounding boxes and scores for the presence of object class instances in those boxes.By combining MobileNets architecture with the single shot detector framework the prediction of accuracy in detecting object is more and fast. The text information from videos are recognized by extracting a best frame using Laplacian method and performs pre-processing on the frame by applying noise removal methods. Thresholding methods are applied to improve the lucidity of the text area and Grab-cut approach is used to eliminate the unwanted backgrounds. The frame is then given to the OCR to extract the text information and was given to TTS converter to convert the text output into speech from to assist users easily.
The Effect of Pocket Book Promotion Media onStudent Knowledge about Risk of Non-Infectious Disease (NID)

Non-Infectious Disease (NID) have become a major public health problem because they add to the economic and social burdens of families and communities. The use of appropriate promotional media is one of the factors in the success of achieving health promotion goals. The purpose of this study is to know the effect of Pocket Book promotion media on students' knowledge about the risks of NID and their prevention efforts. The research design used was quasi experiment. The population in this study were high school students in Banten Province, Indonesia. Samples were taken from different classes. One class was given health promotion by lecturing methods and giving leaflets (Control class) and one class was given health promotion by lecturing methods and giving pocket books (experiment class). Data were analyzed using computer devices with dependent T test in each group and independent T test in the treatment and control groups. The results showed that the average value of students' knowledge about NID in the Treatment group, the first measurement was 51.53, the second measurement 74.17 The results of statistical tests showed that there were significant differences between the mean values of student knowledge in the first measurement and second. In the first measurement control group 58.03 6. Second measurement 67.58. The results of the statistical test showed that there was a significant difference between the average value of student knowledge in the first and second measurements. The average value of students' knowledge about NID in the Treatment group 74.17 Whereas for the control group 67.58 The results of statistical tests showed that there were significant differences in the average value of knowledge of students in the treatment group with pocket books with control groups with giving leaflets. Keyword—Pocket Book, Promotion Media, Non-infectious Disease (NID). ——————————  ——————————
Clustered Capsule Network Architecture for Text Classification

: In this paper we show that capsule network with some changes in its architecture and with the help of dynamic routing can mimic the speech processing section of the brain to some extent. The results obtained are state of the art and it also challenges some aspects of the capsule network architecture proposed by [Hinton et al., 2017]. This paper also makes a few changes in the selection procedure of the N-gram model proposed by [Wei Zhao et al., 2018]. The paper proposes the idea of mimicking the brain architecture for speech recognition using capsule network by clustering the final capsules into groups of similar lengths of vectors which may represent a specific section of the brain to understand properties of a text. As a result the instantiation properties of text are not lost.
Gas chromatography-mass spectrometry (gc-ms)analysis of bioactive components of phyllanthusamarus leaves

Phyllanthus amarus belongs to the family of Euphorbiaceae and it is well known in Nigerian traditional system for its traditional uses. The present investigation was carried out to determine the possible bioactive components of leaves of P. amarus using GC-MS analysis. Nine (9) components from P. amarus leaves were identified. The prevailing components in the ethanolic extract of leaves were 3,5-di-t-butylphenol (1.2%), methyl 14-methyl pentadecanoate (1.4%), palmitic acid (hexadecanoic acid) (11.8%), 10-octadecanoate (5.5%), 9-hexadecenal (9.0%), glycerol 1, 3-dipalmitate (5.7%), 2, 13-octadecadiene-1-ol (8.2%), dioctytl ester (10.1%) and heptanoic acid (9-dece-1-yl ester), (4.6%). The presence of various bioactive compounds confirms the application of P. amarus for various ailments by traditional practitioners. However, isolation of individual phytochemical constituents may proceed to find a novel drug or lead compound.
An Exact Method to Compute Time Delay Margin for Stability of Time- Delayed Generator Excitation Control System

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper investigates the effect of time delays on the stability of a generator excitation control system compensated with a stabilizing transformer known as rate feedback stabilizer to damp out oscillations. The time delays are due to the use of measurement devices and communication links for data transfer. A direct and exact method based on Rekasius substitution is proposed to determine the maximum amount of time delay known as delay margin that the system can tolerate without loosing its stability. The proposed method starts with the determination of all possible purely imaginary characteristic roots for any positive time delay. To achieve this, Rekasius substitution is first used to convert the transcendental characteristic equation into a polynomial. Then, Routh stability criterion is applied to determine the critical root, the corresponding oscillation frequency and the delay margin for stability. It is found that the excitation control system becomes unstable when the time delay crosses certain critical values. Theoretical delay margins are computed for a wide range of controller gains and their accuracy are verified by using Matlab/Simulink. Results also indicate that the addition of a stabilizing transformer to the excitation system increases the delay margin and improves the system damping significantly.
An Efficient Path Completion Technique for Web Log Mining

World Wide Web is a huge repository of web pages and links. It provides abundance information for the internet users. The growth of web is tremendous as approximately one million pages are added daily. Users’ accesses are recorded in web logs.Because of the tremendous usage of web, the web log files are growing at a faster rate and the size is becoming huge. Web data mining is the application of data mining techniques in web data. Extraction of user behavior is an important work in web mining. Web Usage mining applies mining techniques in log data to extract the behavior of users which is used in various applications like personalized services, adaptive web sites, customer profiling , prefetching, creating attractive web sites etc., preprocessing, pattern discovery and pattern analysis. Web log data is usually noisy and ambiguous and preprocessing is an important process before mining. For efficient mining process the transactions are to be constructed accurately which is an important task of preprocessing. This paper describes about the accomplishment of path completion, finding content path set, and travel path set which shows user interest.
Various Research Opportunities in High Utility Itemset Mining

Pattern mining is a technique, which discovers interesting, hidden, unpredicted and useful patterns of data from the database. Most of the research work in pattern mining has been focused on the traditional way of Frequent Itemset Mining (FIM) and Association Rule Mining (ARM) for patterndiscovery. Patterns in frequent itemset mining are based on the occurrence frequency of items. Although frequent pattern mining is useful, the assumption that ‘frequent patterns are interesting,’ doesn’t hold for numerous applications. High Utility Itemset Mining (UIM) overcomes this limitation of frequent itemset mining. The aim of HUIM is to find the patterns based on a utility function where the utility can be measured in terms of revenue, profit, weight, frequency, interestingness or time spent on some webpage, etc. Mining patterns with high utility can be seen as a generalization of FIM where the transaction database is the input and every item is having a utility factor representing its importance and might have non-binary quantities in the transactions. This paper surveys various recent advances and research opportunities in the field of high utility itemset mining
Objective Pain Assessment: How Far Are We?

Pain treatment is one of the major challenges in clinical practice due to its subjectivity for communicative patients but also due to no pain measurement device for non-communicative patients. It is crucial to have an optimal pain treatment in order to avoid issues as overor under-dosing; long period of recovery, etc. Therefore, an objective pain assessment is of key importance step in providing good pain management. This article will review the latest developed devices/methodologies/techniques for pain management.
A Combined Image Deblurring Using Image Enhancements

— While we capture images we used to get the noise to remove the noise we are using so many techniques which were not at reached the user requirement finally we came up through three paradigms which can fulfil user requirements: 1) the deterministic filter; 2) Bayesian estimation; and 3) the conjunctive deploring algorithm (CODA), which performs the deterministic filter and Bayesian estimation in a conjunctive manner. We point out the weaknesses of the deterministic filter and unify the limitation latent in two kinds of Bayesian estimators. We further explain why the CODA is able to handle quite large blurs beyond Bayesian estimation. Finally, we propose a novel method to overcome several unreported limitations of the CODA. Although extensive experiments demonstrate that our method outperforms state-of-the-art methods with a large margin, some common problems of image deblurring still remain unsolved and should attract further research efforts.
Biosynthesis of Zinc Nanoparticles and their Applications

Biosynthesis of zinc oxide nanoparticles and its characterization was done and their applications were studied. In this study, zinc nanoparticles were rapidly synthesized from Zinc nitrate [Zn (NO3)2] solution using extract of Hibiscus rosasinensis leaves. The synthesised zinc oxide nanoparticles were characterized by different spectroscopic and analytical techniques such as SEM and FT-IR. The size of nanoparticles were from 40 to 60nm. The antimicrobial activity of the nanoparticles against Escherichia coli, Staphylococcus aureus was studied by using minimum inhibitory concentration method and bacterial growth was monitored by measurement of optical density (OD) of solution and estimation of colony forming units (CFU) on solid growth medium. In this report we have worked on the application of zinc oxide nanoparticles in photo-catalytic degradation of synthetic dyes. Keywords— Biosynthesis, Zinc oxide Nanoparticles, Hibiscus rosa-sinensis, Applications
Tracking the Path of Launch Vehicle using Pulse Compression Technique

73 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract: Pulse Compression is one of the key steps in the signal processing of a Radar system. Radar system uses Pulse compression techniques to provide the benefits of larger range detection and high range resolution. This is gained by modulating the transmitted signal and after that matching the received echo with the transmitted signal. Matched filter is used as the pulse compression filter which provides high SNR at the output. Matched Filter is a time reversed and conjugated version of the received radar signal. There are several methods of pulse compression that have been used in the past, out of which most popular technique is Linear Frequency Modulation (LFM). This paper deals with the design to develop and simulate pulse compression and matched filter algorithm in MATLAB to study the LFM pulse compression technique. Matched filter is used as the pulse compression filter which provides high SNR at the output. Matched Filter is mathematically equivalent to convolving the received signal with a conjugated time-reversed version of the reference signal. The main application of pulse compression Radars includes tracking of launch vehicles, unwanted particles in space, Missile guidance etc. Here, in this paper we are discussing the pulse compression application in tracking the launch vehicle so as to check whether it had followed the predetermined path or not.
Microbial decolorization of Methyl Orange by Klebsiella spp. DA26

Synthetic dyes have increasingly been used in the textile and dyeing industries because of their ease and cost-effectiveness in synthesis, firmness, high stability to light, temperature, detergent and microbial attack and variety in color compared with natural dyes. This has resulted in the discharge of highly polluted effluents. physicochemical treatment methods are not economically feasible as they produce large volume of sludge. Besides the conventional physico-chemical methods, microbial degradation of azo dyes has been attracted significant attention. In present study methyl Orange as an azo dye was used for biodegradation study by using indigenous bacterial isolates from contaminated soil. The potent decolorizing bacterial strain, was isolated and screened for dye decolorization and identified as Klebsiella spp. DA26 on the basis of morphology, cultural and biochemicals and further 16s rRNA sequencing was carried out. In Phlogenetic tree, isolate had shown 95% similarity with Klebsiella oxytoca. The isolate had showed 86.9% decolorizing activity under optimized condition through a degradation mechanism rather than adsorption as seen by decrease in peak at 530nm within 48 hrs. In presence of penicillin and Chloramphenicol61.68% and 14.83% dye decolorization was seen. The Rf values 0.79 and 0.85 for the dye degraded products and 0.93 for parental dye compound was observed during TLC of biodecolorized broth. In FTIR spectra of biodecolorized broth, absence of peaks at 1600.92/cm and 1517.98/cm indicate stretching of – C=Caromatic skeletal bond and –N=N– bond. On ANOVA test, all the data obtained was significant at 0.5% level. The toxicity of dye and degraded products is under study. These observations has established that the bacteria are adaptive in nature and can degrade dye contaminants. The novel dye degrading bacterial isolate has been isolated. However, potential of the strain needs to be demonstrated for its application in treatment of real dye bearing waste waters using appropriate bioreactors.
The Scientific Attitudes of Students Major In Science in the New Teacher Education Curriculum

The study determined the scientific attitudes of the students major in science using descriptive method of research. Data were gathered from 153 science major students using scientific attitude scale as the main data gathering instrument. Science major students are mostly females with majority of second year students. Biology has the most number of enrolment. Majority of the respondents have low income. The level of scientific attitudes of science major students is high in terms of openmindedness, aversion to superstitions, curiosity and objectivity while moderate in terms of suspended judgment and rationality. The academic performances of the science major students were mostly satisfactory. There is no significant difference between the scientific attitudes of science major students when grouped according to gender, fields of specialization and family income. There is a significant difference between the scientific attitudes of science major students when grouped according to year level. Similarly, academic performance is significantly related to scientific attitudes.
Fast Applying Threads for Short Text Classification Using Naive Bayes

-With the increased use of e-commerce and online communication and publishing, texts become available in a various categories like Web search snippets, forum, blog, news feeds, book and customer reviews. Therefore, successfully processing is important in many information retrieval applications. However, matching, classifying, and clustering these sorts of text data is a new challenge. Recently the focus of text analysis is shifted towards short texts. Measuring the Semantic similarity between short texts is an important task that can be used for various applications including text classification and text clustering. The main challenge in measuring the similarity lies in the sparsity. To overcome the sparsity, enriching the semantic representation of short text using external knowledge is required. As a case study tweeter dataset is used as an external knowledge for short text analysis. Here the semantic analysis measurement method is used which is intended for the real world noisy short texts. Finding related entities from a text generally consist of several sub-problems like key term extraction from texts, related entity finding for each key term and weight aggregation of related entities. Here the Naive Based theorem is used as it is effective especially when the short text is semantically noisy. When the short text contain some meaningless and misleading terms for estimating the main topic Naive Bayes works well. The proposed system is based on system proposed by Masumi Shirakawa et al. and we have used threads for implementing parallelism. Due to parallelism sped up of 89% is obtained.
AN EFFICIENT TECHNIQUE FOR DATA COMPRESSION AND CONVERGENT ENCRYPTION IN THE HYBRID CLOUD

: In cloud computing, there is an enormous amount of data will be stored. So there is a need for high security and a technique to manage the data storage. For that, we are providing deduplication that is a specialized data compression method for avoidance of redundant data storage in the cloud. An another technique for security is a convergent encryption technique. It is a content hash keying method that provides confidentiality of data before outsourcing it. Here we implement an enhanced process in deduplication where it has to done before outsourcing into the cloud. This will minimize the overhead and also reduce the volume of data in the cloud.
Fast and Parallel Mining of K High Utility Item Set

----A large number of contributions in the literature have been proposed for item set mining, exploring various measures according to the chosen relevance criteria. However, items are actually different in many aspects in a number of real applications, such as retail marketing, network log, etc. The difference between items makes a strong impact on the decision making in these applications. Therefore, traditional ARM cannot meet the demands arising from these applications. By considering the different values of individual items as utilities, parallel mining focuses on identifying the itemsets with high utilities.The parallel mining of high utility itemsets will take very less time than mining with the single system over large number of transactions . The most studied measure is probably the number of frequent item sets processed in import and export business process. While the problem has been widely studied, only few solutions scale. This is particularly the case when i) the data set is massive, calling for large-scale distribution, ii) the length 𝑘𝑘 of the informative item set to be discovered is high and/or iii) the data are dynamic. In this paper, we address the problem of parallel mining of large informative 𝑘𝑘 -High Utility item sets (liki) based on joint entropy. We propose advanced FPHIKS (Fast Parallel Highly Informative 𝑘𝑘 -High Utility item sets) a highly scalable, parallel liki mining algorithm and forward selection algorithm. FPHIKS renders the mining process of large scale databases (up to double or treble terabytes of data) succinct and effective. Its mining process is made up of only two efficient parallel jobs. With FPHIKS, we provide a set of significant optimizations for calculating the joint entropies of liki having different sizes, which drastically reduces the execution time of the mining process.
A Survey of Recent Approaches on No-Reference Image Quality Assessment with Multiscale Geometric Analysis Transforms

— Image quality assessment (IQA) consider as a challenging fields of digital image processing system. The image quality assessment algorithms are linked to image similarity assessment in which the differences between the degraded and the original images quality are calculated. Despite the great number of developed metrics, there is still a need for image analysis tools that is able to extract the most perceptual relevant characteristics of an image. This paper offers a literature survey of the existing objective IQA algorithms based on multiscale geometric Analysis (MGA), and focus on No-Reference image quality assessment (NR-IQA) methods, in which a reference image will be unavailable for finding the quality of the distorted image. Several NR IQA metrics have been overviewed in this paper, which were compared in terms of the accuracy, and time complexity. The presented survey will to keep up-to-date the researchers in the field of image quality assessment. This survey also provides an outlook for future work using many combinations among MGA Transforms to access to new blind IQA metric, which has efficient quality evaluation and highly correlation with human perception.