Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Recognition by Using Multi-Probe LSH Indexing

WEB data including images are growing rapidly. For example, the photo sharing website Flickr, Facebook etc has over 5 billion images. There is an emerging need to retrieve relevant content from such massive databases. So our task is to recognize a face with a proper name by using a high dimensional Multi-probe locality sensitive hashing. Locality-sensitive hashing (LSH) is a basic primitive in several large-scale data processing applications, including nearest neighbour search, de-duplication, clustering, etc. Locality sensitive hashing (LSH) has been used extensively as a basis for many data retrieval applications. LSH is based on hashing the data points to a number of buckets such that similar points are more likely to map to the same buckets. Recently, locality sensitive hashing (LSH) and its variations have been proposed as indexing techniques for approximate similarity search. A significant drawback of these approaches is the requirement for a large number of hash tables in order to achieve good search quality. This paper proposes an indexing scheme called Multi-Probe LSH that overcomes this drawback. Multi-probe LSH is built on the well known LSH technique, but it intelligently probes multiple buckets that are likely to contain query results in a hash table. Our algorithm allows one to reduce the number of hash tables, and is hence memory efficient, while achieving high accuracy.
Dynamic Hand Gesture Recognition for Human Computer interaction; A Comparative Study

: As computers become more pervasive in society, facilitating natural human–computer interaction (HCI) will have a positive impact on their use. Hence, there has been growing interest in the development of new approaches and technologies for bridging the human–computer barrier. The ultimate aim is to bring HCI to a regime where interactions with computers will be as natural as an interaction between humans, and to this end, incorporating gestures in HCI is an important research area. Gestures have long been considered as an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. The use of hand gestures as a natural interface serves as a motivating force for research in gesture taxonomies. Gesture recognition is done in three main phases i.e. detection, tracking and recognition. The main goal of this study is to provide researchers in the ﬁeld of gesture based HCI with a summary of progress achieved to date and to help identify areas where further research is needed.
Key Management Scheme in Mobile Ad Hoc Networks

: T he main purpose of this paper is to show some solutions for key management in mobile ad hoc networks. The major problem in providing security services in such infrastructure , how to manage the cryptographic keys that are needed. In order to design practical and sufficient key management systems it is necessary to understand the characteristics of ad hoc networks and why traditional key management systems cannot be used. The aim of key management is to provide secure methods for handling cryptographic keying algorithm. The tasks of key management includes keys for generation, distribution and maintenance. Key maintenance includes the procedures for key storage, key update, key revocation, etc. In MANETs, the computational load and complexity for key management are strongly subject to restriction by the node’s available resources and the dynamic nature of network topology. A number of key management schemes have been proposed for MANETs.
Cache Memory: An Analysis on Optimization Techniques

—Processor speed is increasing at a very fast rate comparing to the access latency of the main memory. The effect of this gap can be reduced by using cache memory in an efficient manner. This paper will discuss how to improve the performance of cache based on miss rate, hit rates, latency, efficiency, and cost.
Satellite image processing using CUDA and Hadoop architecture

—With the advancement in digitalization vast amount of Image data is uploaded and used via Internet in today’s world. With this revolution in uses of multimedia data, key problem in the area of Image processing, Computer vision and big data analytics is how to analyze, effectively process and extract useful information from such data. Traditional tactics to process such a data are extremely time and resource intensive. Studies recommend that parallel and distributed computing techniques have much more potential to process such data in efficient manner. To process such a complex task in efficient manner advancement in GPU based processing is also a candidate solution. This paper we introduce Hadoop-Mapreduce (Distributed system) and CUDA (Parallel system) based image processing. In our experiment using satellite images of different dimension we had compared performance or execution speed of canny edge detection algorithm. Performance is compared for CPU and GPU based Time Complexity.
Int. J. Biosci

The effect of drying methods, namely, air-drying (AD), freeze-drying (FD), oven-drying (OD) and sun-drying (SD) on the phytochemicals composition and antioxidant activities of Carica papaya seeds, a medicinal plant, was investigated. Drying methods had significant (P < 0.05) effect on the antioxidant phytochemicals, that is, total phenol, tannin, total flavonoid, total carotenoid, and vitamin C levels of the seeds, with freeze-drying resulting in the highest levels of these phytochemicals followed by AD, OD and SD. Oven-drying retained the highest (P < 0.05) level of total saponin; while the total saponin levels due to AD, FD, and SD were comparable (P > 0.05). Sun-drying led to the highest (P < 0.05) level of total alkaloid, followed by FD and OD which were comparable (P > 0.05), and then AD. Consistent with the trend of the effect of the drying methods on the antioxidant phytochemicals, FD displayed the highest (P < 0.05) levels of antioxidant activities 1,1-diphenyl-2picrylhydrazyl (DPPH) free-radical scavenging ability, trolox equivalent antioxidant capacity (TEAC) and ferric reducing antioxidant power (FRAP), followed by AD, OD and SD. The DPPH scavenging ability of the seeds due to drying methods increased in a dose-dependent manner, having IC50 in the order of FD (14.19 mg/ml ) < AD (15.7 mg/ml ) < OD (16.56 mg/ml ) < SD (17.85 mg/ml ). Freeze-drying could be the preferred drying method for C. papaya seeds for a higher retention of its antioxidant properties. * Corresponding Author: A.E. Irondi  irondi.emmanuel@yahoo.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print) 2222-5234 (Online) http://www.innspub. net Vol. 3, No. 11, p. 154-163, 2013
Evaluation of in vitro α- amylase inhibitory kinetics and free radical scavenging activities of Momordica charantia

Diabetes is a metabolic disease that has become a serious problem of modern society due to the severe long-term health complications associated with it. Diabetes is also an oxidative stress related disorder and is emerging as a pandemic. One of the therapeutic approaches which involves decreasing hyperglycemia aims at inhibiting the enzyme alpha amylase. Potent inhibitors found in some vegetables, herbs and fruits have been known to be effective for control and prevention of diabetes. The aim of the present study was to investigate the in vitro αamylase inhibitory kinetics and free radical scavenging activities of Momordica charantia. Ethyl acetate extracts of Momordica charantia seeds and Momordica charantia flesh showed effective αamylase inhibition of 94.2 % and 92.6 % respectively. Mechanism of inhibition and its kinetics studied by the method of Dixon Plot and CornishBowden plot showed that the inhibition was found to be non competitive type by both the extracts. DPPH, Nitric oxide, Hydroxyl radical and Superoxide radical scavenging assays studied showed that ethyl acetate extracts of Momordica charantia flesh and seeds have potent free radical scavenging capacity. The combined effect of α-amylase inhibitory and radical scavenging activity exhibited by Momordica charantia shows promising scope in control and prevention of complications in diabetes.
An Empirical Correlation for Estimation of Formation Volume Factor of Gas Condensate Reservoirs at Separator Conditions. Pet Petro Chem Eng J 2018, 2(2): 000147

Gas condensate reservoirs represent half of hydrocarbon sources in different geological strata, so prediction of their physical properties are of great importance on the scale of petroleum industry. These hydrocarbons are not stable even at stock tank conditions as oil shrinkage continued due to vaporization of light components, consequently estimation of oil formation volume factor at separator conditions represents a critical property for these reservoirs. Experimental PVT analysis including flash liberation at separator conditions are carried out on gas condensate samples covering a great range of PVT properties. An empirical correlation is developed to estimate oil formation volume factor (Bo) at separator pressure and temperature using statistical regression analysis. Assessment and validation of the developed correlation were carried out by statistical and graphical error analysis in comparison to published correlations.
Evaluation of hepatoprotective potential of functional food formulations using in vitro and in vivo models of CCl4 radical induced toxicity

Carbon tetra chloride (CCl4) induced acute hepatotoxicity causes severe damage to hepatocytes and affects the liver functions which resemble various liver ailments like hepatitis, jaundice, cancer etc. Using 12-different fruits, formulation F1 and F2 were prepared. Hepatoprotective potential of the formulations was assessed using HepG2 cell (in vitro) and rat model (in vivo). Biochemical parameters like alkaline phosphatase, lactate dehydrogenase, serum glutamic pyruvic transaminase, serum glutamic oxaloacetic transaminase, bilirubin, blood urea nitrogen, plasma TBARS, trolox equivalent antioxidant capacity, total cholesterol, triglycerides were studied. Various markers of liver functions viz., super oxide dismutase, catalase, glutathione peroxidase, reduced glutathione, tissue Thio barbituric acid reactive substances (TBARS) were assessed. Significant decrease in the activity of aminotransferases, alkaline phosphatase and bilirubin was observed in formulation F1 followed by F2 groups as compared with CCl4 treated group. The biochemical and histopathological observations supported hepatoprotective effect. Antioxidant enriched polyherbal formulations F1 and F2 effectively ameliorated CCl4 induced acute hepatotoxicity by improving antioxidant status in rats.
A reliable and easy method to isolate a pure population of bovine granulosa cells from slaughterhouse ovaries for in vitro studies

Follicular development, also known as folliculogenesis, is a dynamic process which involved different morphological changes of follicular cells. The whole process is orchestrated by different molecules in a tightly organized manner [1,2]. A developmentally competent oocyte is released for fertilization at the end of follicular development. Among the cellular constituents, granulosa cells (GCs) are the major cell type in a follicular microenvironment. GCs are the somatic cells closely associated with the developing female gamete or oocyte. At the beginning of follicular development, GCs undergo a rapid proliferation and apoptosis in order to create a fluid-filled cavity called follicular antrum [3]. It also performs several other important functions including converting androgen to estradiol, the supply of nutrients to oocyte during growth, support and protects oocyte during ovulation. In addition, GCs contribute significantly contribute to the extracellular vesicles content of the follicular fluid, however, the function of these vesicles in follicular microenvironment has yet to be confirmed [4]. At the end of follicular development, after ovulation, GCs are transformed into granulosa-lutein cells by a preovulatory pituitary luteinizing hormone (LH) surge [5]. The transformation of GCs to granulosa-lutein cells is particularly very important for a successful ovulation and subsequent formation of corpus luteum to maintain the pregnancy. Therefore, it appears that the function ABSTRACT: In a growing follicle, granulosa cells (GCs) are the major cellular component and perform several important functions. GCs are an excellent choice for in vitro experimentation to understand their functions in vivo. However, the isolation of a pure fraction of GCs from slaughterhouse ovaries remains a challenge. The current study describes a simpler yet reliable method for isolating GCs from slaughterhouse ovaries of domestic animals. For this, bovine ovaries were collected from a nearby slaughterhouse and GCs were collected by aspiration method, one fraction of fresh GCs was snap frozen and stored at -80°C for further analysis and another fraction was used in culture purpose. The purity of GCs was determined by quantifying follicle stimulating hormone receptor (FSHR) and CYP17A1 transcripts and analyzing the cultured cells under a microscope. The viability of GCs ranged from 66 – 35 % depending on the time and media used in transportation-processing. The results showed that FSHR gene was highly expressed as evidenced by the presence of a strong band while CYP17A1 is completely absent in the GCs isolated using the current method. In addition, the characteristics of the cultured cells further confirm the purity of isolated GCs. The current method isolates a pure population of GCs from slaughterhouse ovary without any contamination of thecal cells.
DEVELOPMENT OF SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF PRAVASTATIN SODIUM IN BULK AND TABLET FORMULATIONS

A novel, simple and rapid UV spectrophotometric determination method for pravastatin sodium (PRA) was successfully developed and validated for the assay of in tablets. The proposed method shows the maximum absorbance at 240 nm . beer’s law was obeyed in the concentration range of 2-18μg/ml. The method was validated in terms of linearity, precision (relative standard deviation 1.36%), accuracy and specificity. The proposed method is the only method available for spectrophotometric determination of the drug. It is simple, precise, accurate, sensitive and reproducible and can be used for the routine quality control testing of the marketed formulations.
An efficient Facial Features extraction Technique for Face Recognition system Using Local Binary Patterns

-Imaging in life and materials sciences has become completely digital and this transformation of visual imagery in to mathematical constructs has made it common place for researchers to utilize computers for their day to day image analysis tasks. The main objective of the paper is extracting the facial features of an image. In this paper presents a survey on the recent use of Local Binary Patterns (LBPs) for face recognition. It is becoming a popular technique for face representation. In the existed system we are using LBP. It is a non-parametric kernel which summarizes the local special structure of an image and it is invariant to monotonic gray-scale transformations. Here, we describe the LBP technique and different approaches proposed in the literature to represent and to recognize faces but it is having some limitations like it is not suitable for shadow images and low contrasted images. To overcome those problems in this project we are proposing 2D principles of component analysis (2D-pca) to extract the facial features of an image. Here we are using our own data bases to extract the facial features.
Risk associated with toxic blooms of marine phytoplankton functional groups on Artemia franciscana

Ana D’ors, María Carmen Bartolomé, Sebastián Sánchez-Fortún* Department of Toxicology and Pharmacology, Faculty of Veterinary Sciences, Complutense University, s/n Puerta de Hierro Ave., 28040 Madrid, Spain Faculty of Chemistry-Pharmacobiology, Michoacana de San Nicolás de Hidalgo University, 43 Santiago Tapia St., 58000 Morelia (Michoacán), Mexico Journal of Coastal Life Medicine 2014; 2(8): 625-631
Commitment to Eudaimonic Wellbeing

The paper examines relationships between organizational commitment continuance and normative commitment and eudaimonic wellbeing. design and the data were obtained from different government organizations like hospitals , colleges and public administration offices ( N = 163). Multiple regress organizational commitment significantly predicted eudaimonic wellbeing. Further, Affective commitment was found to be the strongest predictor. Normative and Continuance commitment did not predict eudaimonic wellbeing but we found negative relations between normative commitment and few indices of wellbeing. The research demonstrates that being affectively committed to your organization can result in greater levels of wellbeing. situation for both the employer and the employee.
Analysis of the Interaction of Fibrous Material with a Multifaceted Grid of the Cleaner

The article cited the development of technology for cleaning raw cotton from small waste using a multifaceted grid bar on an elastic basis. A constructive scheme and principle of operation of the multifaceted grid bar of the cleaner of fibrous material from small waste is given. Analytical methods are obtained expressions for determining the movement of fibrous material on the grid bar. A numerical solution of the problem of impact interaction of a fibrous material with a multifaceted grid built graphical dependencies of the parameters of the zone of purification of fibrous material. The results of comparative tests of the recommended zone for the purification of a fibrous material from fine waste substantiate the necessary technological parameters.
Raspberry Pi and Image Processing Based Person Recognition System for Visually Impaired People

– The implementation of image processing in today's world has done a lot in various field. Visually impaired or people with low vision always face difficulties recognizing a person while social interactions and regular activities. The proposed system is designed for blind people to reduce the complexity of blind people in regular activities and engage them. This paper represents a Raspberry Pi embedded system based person’s face recognition system using local binary pattern algorithm of image processing aiming visually impaired people. This device detects and recognize human faces of pre-made datasets, fetches information from MySQL database on match and spells through a microphone applying text to speech method. In the experimental case, the system gives 96% accuracy recognizing single person and 92% accuracy in the case of recognizing multiple people and in complex background.
THE EFFECTIVENESS OF CONTINUING PROFESSIONAL DEVELOPMENT PROGRAM IN ENHANCING TEACHERS’ COMPETENCIES TO ACHIEVE TEACHERS’ STANDARDS

This study was conducted to analyse the perception of teachers participating in the continuing professional development program at Bahrain Teachers College. It aims at measuring the effectiveness of the program in improving teachers’ skills in light of teachers’ standards that was set by the Ministry of Education in Bahrain. 340 in-service teachers participated in the study. Both quantitative and qualitative research methods were used in data collection; questionnaire was used to collect quantitative data and open-ended questions were used to collect qualitative data. The combination of qualitative and quantitative method in this study, known as Triangulation, aims at addressing the problem in question from different angles to strengthen the validity of the data. The results of the study showed that in-service teachers expressed high appreciation for the role of the continuing development program in enhancing their capabilities based on teachers’ standards (with an arithmetic mean of 3.89 and standard deviation of 0.69).
POTENTIAL ASSESSMENT OF BACILLUS COAGULANS FOR BIOREMEDIATION OF ZN (II) AND NI (II): AN IN VITRO STUDY

To understand the microbe-metal relationship in terms of the bioremediation strategies in nature, a study was undertaken to assess the potential of Bacillus coagulans, a probiotic species of genus Bacillus, for bioremediation of Zn (II) and Ni (II) in vitro. The minimum inhibitory concentration of B. coagulans against Zn (II) was found to be 16 ppm while it was 256 ppm for Ni (II), indicating that the test organism can tolerate Ni (II) better than Zn (II). When Zn (II) and Ni (II) tolerant culture was grown on nutrient agar medium, no variation was observed in its colony morphology, staining and biochemical properties as compared to the unexposed culture. Both exposed and unexposed cultures of B. coagulans were tested for their antibiotic sensitivity against seven antibiotics. The Zn (II) tolerant culture showed increased sensitivity against most of the antibiotics especially against ciprofloxacin, teicoplanin and norfloxacin. However, no change in sensitivity was obtained against kanamycin. Ni (II) tolerant culture showed significant increase in sensitivity against almost all antibiotics tested against it. When Zn (II) tolerant culture was tested for any change in its probiotic efficacy, it showed highest bile tolerance at 0.3% bile (w/v) after 3 hrs and showed acid tolerance at pH 3. Similar results were obtained for Ni (II) tolerant culture. These results indicate that even under heavy metal stress B. coagulans did not undergo any change and maintained its probiotic nature, thus suggesting its great potential to bioremediate the two test heavy metals, possibly in in vivo condition as well.
Optimum Casting Process Selection using Analytical Hierarchy Process

This paper present our research work on optimum casting process selection using Analytical Hierarchy Process (AHP). The goal is to determine best optimum casting process for a component. AHP provide a way to rank the alternative of a problem by deriving priorities. Nineteen criteria have been quantified to optimize casting process selection and development of casting process. A decision hierarchy for optimum casting process selection has been developed. In this paper a case study of prototype product has been taken. The proposed methodology takes casting expert opinion on the basis of criteria, product details and alternative casting processes for ranking the problem. Keywords— Analytical Hierarchy Process, Optimum Casting Process (OCP) Selection, Multi Criteria Decision Making, Framework, Evaluation.
New Host Record of Blossom Midge , ( Cecidomyiidae : Diptera

The blossom midge C. maculipennis, a serious pest in orchids which infests blooms and mainly hampered the cut flower production have been newly found in Tamil Nadu in recent years. Those infesting the flower buds of Dendrobium spp. (Orchidaceae) was identified, on the basis of morphological key characters and further, the identity of midge specimen was confirmed through molecular techniques with mitochondrial Cytochrome Oxidase subunit I (COI) gene specific primers, as C. maculipennis sequence of Contarinia species was closely (100% similarities) related with already sequenced maculipennis with 678 bp. Dendrobium regarded as one of the host plants of C. maculipennis
Analysis Bio-economic system in Rural and Industrial breeding Systems Sheep

The main purpose of this research was to determine Bio-economic model of two Kabudeh Fars and Zel Mazandran sheep in Iran. These results suggests that despite a 109 percent increase in industrial breeding system costs than rural breeding system, absolute profit in industrial breeding system was 1418054 Rsl. compared to rural breeding system (1071631 Rsl.) per ewe.
A Novel wavelet based threshold selection technique for Image Denoising

: This paper presents a wavelet threshold selection technique for noise filtering and comparison of different noise reduction techniques used in image denoising. Additive noise is applied to the image and different wavelet technique is used to remove the noise from the image. Finally all the different techniques are compared for PSNR, SSIM improvement and the processing time required.