Miracle-dz/UniFAR-FTUs huggingface dataset:
A Face Recognition and Spoofing Detection Adapted to Visually-Impaired People

: According to estimates by the world Health organization, about 285 million people suffer from some kind of visual disabilities of which 39 million are blind, resulting in 0.7 of the word population. As many visual impaired peoples in the word they are unable to recognize the people who is standing in front of them and some peoples who have problem to remember name of the person. They can easily recognize the person using this system. A computer vision technique and image analysis can help visually impaired people to recognize unknown persons. This system provides identity of the unknown persons . who is standing outside the home using face identification and spoofing detection system. This system also provide feature to add newly known people and keep records of all peoples visiting their home.
Transmission of Images Using SPECK

Compression is the process of representing information in a compact form so as to reduce the bit rate for transmission or storage while maintaining acceptable fidelity or data quality. The objective of this paper is to develop an efficient compression scheme and to obtain better quality and higher compression ratio using Multiwavelet transform with Set Partitioned Embedded block coder algorithm (SPECK). In our tests, we employ Scenes derived from standard AVIRIS hyper spectral images, which possess 224 spectral bands. The performance of the SPECK is compared with SPIHT& JPEG2000.The quality of compression and reconstruction is measured by quantitative measures like PSNR.
Human Identification Based On Scleral Vasculature

The blood vessel patterns of sclera show rich and unique details. To date, sclera is relatively less studied and little is known regarding its usefulness and performance. Here, sclera recognition for human identification is proposed. It poses a challenge because sclera vessel patterns are often dense and/or saturated and, most importantly, the vessel structure in the sclera is complex and has deformations. A new method for sclera segmentation which uses Daugman’s integro-differential operator is proposed. It is followed by Otsu’s thresholding method and erosion. A comparative analysis is presented between Gabor filter and Canny edge detection methods. Since, Canny filter has higher noise immunity as compared to Gabor filter it is used to enhance and thin the conjunctival vasculature patterns. A sclera template generation method is proposed that uses Hough transform. The proposed scheme is tested on the images from UBIRIS 3 database which is publicly available. Thus, the use of sclera vasculature pattern as potential biometric is investigated.
Efficient Channel Estimation of OFDM System using Linear Estimators and Median Filtering

- The outperforming stage of wireless communication system need to be developed for reliable delivery of the information. Every wireless communication system has a major influence by the information transferring media (channel). The behavior of wireless channel is quite varying in nature so that the predictions of noises disturbing signals is very crucial task. So the estimation of channel play a very important role make wireless communication system better. Here the channel estimation is done and the mean square error is calculated for proposed methodology using 4-QAM Modulation and Median Filter.
Influence of Coping Strategies on Depression among Parents Living With Mentally Retarded Children (Down Syndrome)

This study investigated the influence of coping strategies, on depression among parents living with mentally retarded children. One hundred and eight (108) comprising 61 parents of mentally retarded children (Down syndrome) and 47 parents of non-retarded children between the ages 28-54 drawn from population of parents with mentally retarded children attending school at the Therapeutic Day Care Center (T. D. C. C.) Abakpa in Enugu; Evami special school independence layout Enugu and UNTH Ituku Ozalla (OPD section) were used for the study using criterion sampling technique. Moos, Cronkite and Finney (1990) 28item coping strategies scale, and Radloff (1977) 20-item depression scale were administered. Cross-sectional survey design was used. One Way ANOVA Ftest revealed that parents with normal children presented more depressive symptoms than parents with mentally retarded children, F (1, 106) = 16.23, P< . 05. One way ANOVA F-test as statistical test also revealed no significant influence of coping strategies, F (1, 57) = 080, P> . 05 on depression among parents with mentally retarded children. On the basis of these findings, it was been concluded that coping strategies were not determinants of depression among these parents with mentally retarded children. The results were discussed in relation to relevant literature.
CONCEPTUAL MODEL DESIGN FOR MEASUREMENT OF PRECIPITATION USING AIR BORNE RADAR

The development of Radar for an earth observing satellite system for global measurement of precipitation is issue of high performance. Dual frequency (14 and 35GHz) precipitation radar is designed using EPGA as DSP technology would not handle around 40 billion op/s. in few chips. Performance parameters such as swath width, spatial resolution and precision should be improved with low earth orbiting rainfall radar. In this paper, we will present onboard processor design with 40 x 10 op/sec and sidelobe performance of 72 dB of rainfall radar. FPGA have capability of million gate densities supporting this rate of processing. Key terms – Global precipitation Measurement (GPM), field programmable gate arrays (FPGAs), pulse compression, space borne radar, Dual frequency Precipitation Radar (DPR).
Detection of Anomaly Network Traffic for Mobile Ad-hoc Network Using Fuzzy Logic

: M obile ad-hoc Network (MANET) is a self organized wireless network which is a dynamic topology with large number of nodes (mobile devices) responsible for its creation, operation and maintenance. Due to distinguishable characteristics of MANET there is a minor difference between legitimate traffic and illegitimate traffic. Many techniques have been developed for this issue. A hybrid technique which is a combination of entropy of network features and Support Vector Machine is compared with individual methods. In this paper, we propose effective anomaly based model analyzed by extracting more network features from the MANET and used fuzzy logic for classify the network traffic that is attack traffic or legitimate traffic.
Vehicle Detection, Tracking and Speed Measurement for Traffic Regulation

– Vehicle Detection Process on road are used for vehicle tracking, counting average speed of each individual vehicle, traffic analysis and implemented under different environmental changes. In this paper we present a concise image processing method in developing traffic surveillance systems. The proposed model implements enhanced preprocessing, background Subtraction, Morphological Operations as well as Feature Mapping Process for Moving Vehicle Detection, Tracking and Speed Estimation. To enhance background subtraction, a novel multidirectional intensity strokes estimation approach has been introduced that plays a significant role for distinguishing vehicle region from other background contents. Here we consider the Regions of Interest (ROI) as vehicle region only. In addition the enhanced thinning and dilation based morphological process has been introduced that exhibits more precise and accurate vehicle detection.
Return & Risk Analysis of Selected Sector Specific Mutual Funds in India

Sector funds are industry specific funds which invest money in a particular sector of economy such as banking, healthcare, real estate, technology, transportation, etc. These funds provide diversification within a particular sector. They provide stable returns than equity shares. Therefore investing in sector fund is less risky than that in equity shares. But there returnability is more volatile than diversified equity mutual funds. The present study is based on analyzing the performance of some selected Indian sector fund schemes in terms of risk and return. In this paper Compound Annualized return, Standard Deviation, Beta, Alpha and R-Squared are determined for last five year period. Keywords--Diversification, returns, Compound annualized return, standard deviation, Beta, alpha, performance, risk return relationship.
Fabrication, characterization and electrochemical performance of PVA/TiO2 polymer composites

Polyvinyl alcohol (PVA)/Titanium dioxide (TiO2) composites were prepared by mixing TiO2 in PVA solution in the proportions of 9:1, 8:2, 7:3, 6:4 5:5 and 4:6 of PVA and TiO2 respectively. The obtained composites were characterized by using XRD and SEM. The pasty solution of the synthesized composites were spin coated over mild steel surface. Polarization and electrochemical impedance studies were performed to study the corrosion behaviour of the synthesized polymer composites in 3.5% NaCl solution. The incorporation of TiO2 in PVA matrix in 4:6 ratio reduced the corrosion current indicating improved corrosion resistance. The electrochemical impedance study showed an increased charge transfer resistance and decreased double layer capacitance at this ratio. PVA/ TiO2 composites could be used as an effective corrosion inhibitor for mild steel in 3.5% NaCl.
A Review on Distributed Network Services Using SSO for Secure Mechanism.

The Goal & the research of this paper are focused on improving & to reveal security weakness in distributed network services using Single sign On (SSO) for secure mechanism. SSO is a method of access to the resources of the multiple software system without being prompted to log in again . Authentication is very much important issue in creating and maintaining privacy in large area distributed network In this paper we presents the security problems occurs during secure communication. The main focus is on improving and reveal security drawback in single sign on mechanism . We also demonstrate comparable reviewer of existing work done on this drawbacks to achieve well security over the distributed networks for secure communication . However, by implementing an efficient verifiable encryption of RSA signatures, we propose an improvement for repairing the previous idea. We are also presents the simple way of authentication in this mechanism.
Functional Neuroimaging Guided Active Rehabilitation for PCS: A Retrospective Comparative Study of an NVC-Targeting Therapeutic Approach

Background: Recent work has demonstrated several advancements in therapeutic options for patients with postconcussion syndrome (PCS). Specifically, active rehabilitation has emerged as a promising direction for the best treatment outcomes. Enhanced Performance in Cognition (EPIC) is one form of active rehabilitation for PCS that uses a multi-disciplinary clinical approach focusing on two primary aims: the objective diagnosis of PCS using a quantitative, biomarker-based form of fMRI, and targeted neurorehabilitation. The targeting and rehabilitation of the neurovascular coupling (NVC) unit is an essential and novel component of this approach. This study seeks to contribute to the current field of active PCS therapy by demonstrating the usefulness of targeting NVC dysfunction. Further, we compare the EPIC protocol to treatment as usual using a retrospective comparative study design. Methods: The principal cohort was designated as all patients who received EPIC treatment from the time original pilot data was published to the time of retrospective data analysis and chart review (June 2016-October 2017) (N=375). Pre- and post-EPIC post-concussion symptom scales (PCSS) and severity index scores (SIS) were measured and compared. Then, based on pre-specified inclusion criteria for chart review, two patient cohorts were retrospectively assigned to treatment order 1 (TO1: N=15) and treatment order 2 (TO2: N=28). SIS was measured at pre-/post-EPIC and pre-/post-treatment as usual (TAU) functional neurocognitive imaging scans. SIS results from the treatment periods were compared and reported. Results: For the principal cohort (N=375), there was a statistically significant reduction in post-EPIC SIS and PCSS. Concerning the treatment cohorts, there was a highly significant (p<0.0001) overall effect of treatment type on SIS but no such effect of treatment order. However, analysis of TO2 alone revealed a significant effect on SIS reduction (p<0.001) if TAU occurs after EPIC therapy. Conclusion: The findings in this study appear to agree with the current body of research that demonstrates the effectiveness of active rehabilitation strategies compared to standard symptom-modulating and rest-based PCS therapies. Further, EPIC-style therapies contribute to the field of active PCS treatment by addressing NVC disruption in addition to the autoregulatory/vasoreactive aspects of PCS pathophysiology.
HEPCIDIN AND SERUM IRON: A CORRELATIONAL STUDY IN OBSTETRIC PATIENTS WITH IRON DEFICIENCY ANAEMIA IN WINDHOEK, NAMIBIA, IN 2017

Background: Anaemia is a worldwide major health concern. It is especially important in pregnant women due to the increased requirements for both the mother and the baby. Horowitz et al., (2013) states that Iron deficiency anaemia accounts for 75% of all anaemias in pregnancy. Aim and Objectives: The interest of this study was to hepcidin, the iron regulatory peptide. The study objectives were t behavior of hepcidin in obstetric patients with IDA and to observe the relationship between haemoglobin, serum iron and hepcidin levels in pregnant women. Methodology: Two hundred and eighty-three samples of pregnant women from the ANC ward were collected from NIP between June and September 2017. These samples were required to have an Hb of less than 12g/dL. The samples were tested those with iron deficiency anaemia. Finally, samples with iron deficiency were tested for hepcidin levels. Additional samples were included to complete the hepcidin assay. Results: 107 samples had an iron concentration of less than 7. classified as iron deficient. Hepcidin analysis was then carried out on 176 samples (including the 108 with iron deficiency and some normal and high (higher than 26.85μmol/L) to observe if a direct proportionality exists in high iron conc results indicated a poor, but significant correlation between haemoglobin and serum iron (r=0.163, p=0.032). According to the r value, there is a weak positive linear relationship between haemoglobin and serum iron. Furthermore, haemoglobin weak uphill (positive) linear correlation (r=0.123, P=0.106). Conclusion: The study found that hepcidin had a weaker correlation to haemoglobin than serum iron to haemoglobin. Hb is a poor indicator of IDA because of haemodynamic changes and the slow rate of iron being incorporated and raising Hb. Additionally, the weak relationship between haemoglobin and hepcidin is a result of erythropoeitc drive and hepcidin sensitivity, because while increased serum iron drive lowers it. Inflammation, which is common in pregnancy also raises hepcidin, altering the normal homeostatic mechanism of iron. These factors have thereby influenced the degree of their direct proportionality. Therefore, serum iron is the be IDA. -carrying This could be a result of either:
CHAO, JACKKNIFE AND BOOTSTRAP ESTIMATORS OF SPECIES RICHNESS

The species richness is one of the oldest, simplest and instant concepts of characterizing biocommunity diversity in Ecological study. Practically, species richness is the basic statistics used to estimate the true (actual) number of species of a biocommunity (animal or plant) in an area under consideration. In this study, in the light of available literature, we focus on, how to estimate the species richness based on the observed species from the sampled individuals using nonparametric estimation techniques. More specifically, it concentrates on the basic ideas and applications of three prominent nonparametric estimators, namely, Chao, Jackknife and Bootstrap estimate of species richness. This paper has started with the basic concept of these estimators with special emphasis on Bootstrap method and concluded with an exposition of respective estimates of variances.
Work-Life Balance, Employee Job Performance and Satisfaction Among Doctors and Nurses in Malaysia

In this era, the concepts of human resource management (HRM) practices have evolved to the implementation of work-life balance (WLB) practices, such as: flexible working hours and supportive supervision. WLB practices have shown a great influence on employee attraction, retention, motivation and development. This study examines the relationship between WLB practices on employee job performance as well as the mediating effect of job satisfaction in the relationship among doctors and nurses in East Malaysia. The study surveys 491 doctors and nurses in the East Malaysia states of Sabah and Sarawak in 2016-2017. Four hypotheses were tested with validated measures of WLB practices (flexible working hours and supportive supervision), job satisfaction and job performance. Findings revealed that flexible working hours and supportive supervision has a significant and positive impact to job performance. Job satisfaction also positively mediates the relationship between flexible working hours and supportive supervision towards job performance. This study confirms the importance of job satisfaction in influencing employees job performance. An effective WLB practices will improve employees job satisfaction which eventually increase their job performance and productivity. This studys findings aim to assist the Malaysian healthcare industry in improving doctors and nurses attraction, retention and motivation.
MOBILE MESSAGING APPLICATION FRAMEWORK FOR SERVICE USAGE CATEGORIZATION

Due to rapid growth of mobile technologies and the innovations in the field of mobile computing, it is possible to have mobile messaging applications like WhatsApp. These applications are capable of supporting messaging with different features. For instance WhatsApp can support different media for messaging including text, image, audio, video, video streaming, news feed and location sharing. Classification of such data into different content types can have very important utility in the real world. The rationale behind this is that by categorizing service usage in mobile applications can monitor traffic and know the bandwidth details. The network traiffic may be of many kinds like elastic and inelastic flows. The categorization can optimize network traffic and it can provide insights to allocate bandwidth and other resources to network flows. Some flows need continuous allocation of resources while others do not need. In this paper we considered mobile messaging application like WhatsApp. The traffic is captured and classifier is built in order to have better categorization of service usage. This can help in allocating resources like bandwidth with well informed decision making. A framework is proposed to achieve this. We built a prototype application to show the effectiveness of the proposed framework.
Identification of Bacillus subtilis subsp subtilis “RA-29”, a Congo Red Decolourizer using 16S rDNA Sequencing

A gram positive aerobic bacillus “RA-29”, isolated from the garden soil, in the vicinity of an industrial town, was able to decolourize congo red azo dye (88.26%) under static condition of incubation. The optimization studies were performed to determine the optimal pH and temperature for maximal decolourization of the dye by UVvis analysis. The maximum decolourization percentage was calculated as 95.67% at pH (8.0) and temperature (37C) after 60 hours of incubation at 50 ppm congo red concentration. Identification of the isolated strain “RA-29” was performed by 16S rDNA sequence analysis. The RA-29 strain was phylogenetically positioned in the genus Bacillus. The nucleotide alignment and distance matrix showed S_ab score of the strain as 0.999 with closest relation to Bacillus subtilis subsp. subtilis ZH10 (NCBI accession no. HM103330). RA-29 was grouped as Bacillus subtilis subsp subtilis (NCBI, accession no. JF 901735). The work highlights an efficient decolourization of congo red by Bacillus subtilis RA-29 from aqueous solution. Since most azo dyes are recalcitrant to aerobic degradation by bacterial cells, the organism could be a valuable tool to develop commercially viable bioremediation technology to remove azo dye from dye contaminated aqueous ecosystem under microaerophilic/static incubation conditions. [Arun Kumar, Rajesh Sawhney. Identification of Bacillus subtilis subsp. subtilis “RA-29”, a Congo Red Decolourizer using 16S rDNA Sequence. Researcher. 2011;3(12):18-22]. (ISSN: 1553-9865). http://www.sciencepub. net
Interpersonal Influence and Prediction Gathering System

: In Recent world more and more users like to share their Experience on Reviewing the Online products, such as Ratings and blogs. Here we get a Reference blog which helps to solve cold start. Most necessary thing here that matter is Recommender that helps us to select or to choose a better and highly Influenced products. Social factors used ->Inclination Sensibility, opinions and partiality. This works on the tendency, viewpoints also the way of thinking, thoughts Reflect here, enhancing the intrinsic link among features in the latent space. We tend the passion on propensity of all user’s and User Guidelines. This Signify the judgment and to liayard a guess or the forerun thoughts. Main picture in one’s mind reflect as a Image through Prediction Gathering System.
Energy of Bandwidth and Storage Routing Protocol for Opportunistic Networks

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- Opportunistic Networks is communication environment which has no stable path. Therefore, in this environment, the routing algorithms are partitioned into two main classes which are metric-based and contact-based. Essentially, contact based algorithms target for a high routing performance and small delay at the same time. However; these protocols consume high resources in terms of Energy, Bandwidth and Storage. Practically, opportunistic nodes such as smart phones and tablets suffer from the limitation of the energy and physical memory. In addition, the environment connectivity instability leads to low bandwidth links. This work proposes a resource concentrate routing protocol for opportunistic networks, named Energy of Bandwidth and Storage Routing Protocol (EBSRP). The energy is considered as a main factor calculated as a function of bandwidth and storage. The proposed EBSRP has its queuing policy calculated as a function of energy ratio. The Simulation results are used to analyze the performance of EBSRP and it is compared with Epidemic using different replication and dropping policies based on energy, bandwidth, and storage. The results show that the proposed protocol has better performance than Epidemic in terms of delivery ratio, delay, and overhead.