Miracle-dz/UniFAR-FTUs huggingface dataset:
A voluminous survey on Content based image retrieval

: The amount of images or the pictorial data is growing day by day with the expansion of internet services. As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. So nowadays the content based image retrieval is becoming a source of exact and fast retrieval. It is very difficult for the users to retrieve the required images using a operative and efficient mechanism. There are many techniques which are used to retrieve the images depending upon the requirement of different applications. This paper provides an extensive review of various latest research work and methodologies applied in the field of CBIR. Images are retrieved on the basis of automatically derived features such as, texture, shape and color which is generally referred to as Content-Based Image Retrieval (CBIR). Content based image retrieval is an important research area in image processing, with a vast domain of applications like recognition systems i.e. finger, face, biometrics, medical sciences etc. However, the technology still lacks maturity, and is not yet being used on a significant scale. In the absence of hard evidence on the effectiveness of CBIR techniques in practice, opinion is still sharply divided about their usefulness in handling real-life queries in large and diverse image collections.
An Improved Bridgeless SEPIC PFC Converter

In power electronic converters, active power factor correction circuits (PFC) are employed to correct the power factor and achieve high efficiency. Single-ended primary inductor converter (SEPIC) can provide a high power factor. This conventional power factor correction SEPIC suffers from high conduction loss at the input bridge diode. To overcome this problem, a bridgeless SEPIC converter with ripple-free input current is proposed. In the proposed bridgeless converter, the input bridge diode is removed and the conduction loss is reduced. The input current ripple is reduced by means of an auxiliary circuit. The auxiliary circuit consists of an additional winding of the input conductor, an auxiliary small inductor and a capacitor. In this converter, the input current in a switching period is proportional to the input voltage and near unity power factor is achieved. Thus the proposed converter has the advantages of both reduction of ripple current and conduction losses which increases the efficiency of the converter and it is also capable of efficient power factor correction. The operating principles and the waveforms of the converter are analyzed and the performance of the proposed converter is verified by MATLAB simulations.
Stability Improvement of Power System by Using Fuzzy Coordinated Static Var Compensator

In emerging power systems, enlarged communication often lead to the situations where the structure no longer remains in secure operating region. The flexible Ac transmission system (FACTS) controllers can take part in an important role in the power system security enhancement. However, due to high capital investment, it is necessary to locate these controllers optimally in the power system. Static Var Compensator (SVC) is a shunt type FACTS device which is used in power system primarily for the purpose of voltage and reactive power control. In this paper, a fuzzy coordinated supplementary controller Static Var Compensator (SVC)
Tending to Security Issues in Cloud Computing

------------------------------------------------------------------- ABSTRACT ------------------------------------------------------------- Cloud computing is an upcoming model which provides various services over the network. One can share resources, store their data at another site very conveniently. Cloud computing is a more adaptable i.e flexible, cost effective also demonstrated conveyance stage for giving business or consumer benefits over the Internet. Cloud computing supports distributed service, multi-user and multi-domain administrative infrastructure and therefore it is more inclined to security dangers and vulnerabilities. Security is one of the major concern to the cloud service providers who are actually the ones who host the various services. Much of the time, the supplier must ensure that their foundation is secure and customers' information and applications are protected, by executing security strategies and instruments. In this paper we discuss some of the security issues which affect the cloud computing system. We analyze the basics of cloud computing and the security issues that it faces.
Ayurvedic View on Heavy Metal Poisoning with Special Reference to Naga bhasma

Naga bhasma (incinerated Lead) is one such preparation containing lead as a main ingredient. According to the modern science, lead and lead compounds are toxic to human health. Manifestation of some extraordinary medicinal properties in Naga bhasma indicates that, the Ayurvedic processes performed during its preparation must be bringing about some radical changes in lead, which not only destroy its toxic nature but impart some extraordinary medicinal properties ascribed to Naga bhasma. Present work centered on the fact of heavy metal poisoning and Ayurvedic point of view towards the use of such metals with special reference to current research on toxicity of Naga bhasma. This study clearly shows that Naga bhasma is not just Lead, it’s a compound form predominantly crystalline i.e. mixture of PbO PbR3ROR4R. XRD data reveled OH and (COR3R)R2R group which contain some other essential elements in minute quantity and didn’t have any toxic effect at LDR50R which was 160 times higher to that of Therapeutic Equivalent Dose (TED) (12.5 mg/kg) in acute toxicity study.
Object Recognition by Template Matching Using Correlations and Phase Angle Method

: Object recognition in computer vision is the task of finding a given object in an image or video sequence. The aim of object recognition is to correctly identify objects in a scene and estimate their pose (location and orientation). The goal is to realize the ability of current object recognition techniques to find similar objects when input is entirely in image form. In this present work, template matching techniques is used to recognize the object using correlation and Phase Angle Method.
EMPIRICAL ANALYSIS OF TAX REVENUE COLLECTION BY THE FEDERAL GOVERNMENT IN NIGERIA

The main objective of this study is to analysis tax revenue collection by the Federal government in Nigeria. The study adopted quantitative research design; the secondary data will be obtained from the FIRS in respect of the total tax revenue collected from the oil and non-oil taxes for the period of 2011-2015. The population of the study is made up of Federal Inland Revenue Services and the sample size is Planning, Reporting and Statistics Departments. The findings from the study revealed that Capital Gains Tax, Stamp Duty, Education Tax and Petroleum Profit Tax are positively significant at 1%, 5% and 10% respectively while Company Income Tax and Value Added Tax are not significant. However, Company income tax has more total collected revenue than all the remaining variables. Therefore, it is recommended that government should enhance the collection of tax revenue processes and ensure that any deviations from compliance with the laid down rules and regulations are severally dealt with and punished accordingly.
Performance Evaluation and Comparison of TCP variants for Optimizing TCP Performance

-Wireless networks are growing rapidly. TCP is the most widely-used protocol on Internet and so optimizing TCP performance is very important for fast efficient data transfer. The different existing TCP variants and solutions they have not been analyzed together to identify the bottlenecks in wireless networks. TCP has a major problem in its congestion control algorithm which does not allow the flow to achieve the full available bandwidth on fast long-distance links. This problem has been studied in this paper using a new high speed congestion control TCP protocol based on the Newton Raphson algorithm. In this paper we have analyzed six TCP congestion control algorithms and compared their performance behavior of Reno, Westwood, Veno, Vegas, Illinois and proposed Newton Raphson congestion control algorithms with suitable metrics. This study shows that the proposed algorithm performs better compared with the other methods of application.
Effect of downsizing on market orientation in Nigeria: Critical appraisal of guaranty trust bank (GTB) in Anambra state

This research work studied the effect of downsizing on market orientation in Nigeria with Guaranty Trust Bank Plc in Anambra State as the case study. The Survey method of data collection was used in the course of the research. Analysis of the data, which were collected from the questionnaire, was done using the simple percentage method, chi-square and goodness of fit. The results of the analyses showed that downsizing affect market orientation of Guaranty Trust Bank in Anambra State. Also, it therefore infers that downsizing as financially effective and liberating for victims affect market orientation of Guaranty Trust Bank in Anambra State. It is therefore recommends that Guaranty Trust Bank Plc need to adopt strategies to improve the market orientation as well as job satisfaction of survivors since the success of downsizing rests on the shoulders of survivors who must provide both the core competencies and corporate memory necessary for moving forward into a new era of business prosperity.
A Secure Role Based Encryption of Data Sharing for Dynamic Groups in the Cloud

: Continuous changes in the membership of data sharing, giving security and privacy preservation are still challenging issues, especially for an untruth cloud due to the collusion attack. It is based on the secure key distribution without assuming any secure communication channel. We propose a secure role based encryption of data sharing scheme using secure communication channel for dynamic groups in the cloud . The system provides fine grained access control for any clients who wants to access the information from cloud . It also prevents access of clients after their revocation and protect from collusion attack. Proposed system provide guarantee for secure sharing of data files when they are outsourced with double encryption and particular security key distribution mechanism. Users can achieve an effective and economical way for data sharing among group members in the cloud with efficient manner and little management cost.
Deconttamination of a solution of chromiumIV by marine algae (ulva-lactuca)

Wastewater contaminated by heavy metals remains today one of the major problems to solve in industrialized countries. Various conventional methods are used to remove heavy metals from the existent wastewater. They are based on chemical precipitation phenomena, ion exchanges, and adsorption or bio-sorption. The treatment by plants (phytopurification) is a natural treatment for a variety of aquatic or semi aquatic organized and structured artificially to maximize their holding capacity for various pollution parameters. Many studies aim to increase the removal of heavy metals by plants to clean up wastewater. In this study we are interested in the ability of the algae "ulva-lactuca" to eliminate the chromium (Cr) from a previously prepared solution and the factors that may influence the absorption [1,2,3]. The parameters studied were pH, mass, contact time between polluted water and algae (biomass and its impact on the bio-sorption also other physico-chemical parameters). The results show the bio-sorption percentage R% = 84 % is observed at pH = 5 and m = 4g amount of living biomass, and the elimination percentage of Cr is equal to 96% at pH = 5, m = 1g and C0 = 38.32 mg / l and the amount adsorbed can reach 1.81 mg / g for crushed algae. These results are consistent with those obtained with the Langmuir model.
Design and Analysis of an Ultra Low Power Clocked Regenerative Comparator

— This paper explores various available comparator designs and proposes an improved ultra low power comparator with reduced delay at 90nm. Dynamic comparators which are extensively used in data converters and digital signal processors require low power consumption and high speed. A clock based dynamic comparator is simulated with delay of 64ps and power dissipation of 31. 8µW. The comparator structure is designed using tanner EDA. A comparative simulated analysis of various comparators shows that the proposed design is more power efficient and have 73% less delay.
Based Video Face Verification

 Abstract : The availability and abundance of video capture devices like mobile phones and surveillance cameras have instigated research in video face recognition, which is highly related to the law enforcement applications. And the proposed approaches are giving high accuracy in error rates, the performance at lower false accept rates requires significant improvement. Now here we are proposed face verification algorithm where Wavelet Transform and Entropy are used for frames selection from the video followed by feature extraction using deep learning where we will combine Deep Boltzmann Machine (DBM) and Stacked Denoising Sparse Auto-Encoder (SDSAE) with learnt representations for Face verification. After completion of all these steps finally we obtained verification details by multilayer neural network system (MNNS). The proposed feature richness-based frame selection shows fair performance compared to the other methods namely Random frames or frame selection based on no visual reference image quality measures. The proposed method in this paper shows good performance in face verification. Face verification accuracy of proposed method is about 97% and 95% with false 1% accept rate on point and Shoot(PaS), YouTube Video(YTVF) face databases respectively.
AN IMPLEMENTATION OF PEARSON CORRELATION METHOD FOR PREDICTING ITEMS TO USER IN E-COMMERCE

Collaborative filtering algorithms (CFAs) are recommender systems for the collaborating one another to filter documents they read from last decade. CFAs have various features that create them different from other algorithms. Algorithm of user-based collaborative filtering is one of filtering algorithms, known for their effectiveness and simplicity. In the present paper, pearson calculation is applied which works on user-based data and finds out the similarity measure of the products and then recommend them according to the similarity calculated. An application is built to perform this research work whose web pages have been attached as a part of results calculated. The model is an improved model working well on collaborative technique and recommending items to the users. Along with this few add-on implementations have been done so as to improve the functionality of the application.
Occurrence of vancomycin-resistant staphylococcus aureus (VRSA) in fresh and fermented milk in Nigeria: A preliminary report

A study was conducted to determine the occurrence of vancomycin resistant S. aureus (VRSA) in milk in Nigeria. Fourty seven S. aureus were isolated from the 372 milk samples examined, out of which 20 (5.4%) were vancomycin-resistant. Fifteen (4%) of the VRSA were isolated from raw milk, 4 (1.1%) from bulk milk and 1 (0.3%) from pasteurized milk. No significant difference (P > 0.05) between the occurrence among the study variables was observed, . No VRSA occurred in the yogurt and ‘kindirmo’ samples examined. The decrease in the occurrence of the pathogen from raw milk to pasteurized milk and its absence in yogurt and ‘kidirmo’ suggest that pasteurization and fermentation may have eliminated most of the organisms. The resistance profiles of the VRSA isolates to other antibiotics showed high resistance to penicillin (100%), tetracycline (85%), amoxicillin (65%), methicillin (40%) and oxacillin (40%), but low to amikacin (5%) and sulphamethoxazole/trimethoprim (10%). None of the isolates were resistant to chloramphenicol and ciprofloxacin. The multiple antibiotic resistance index result revealed that 80% of the VRSA were resistant to 3 or more antibiotics. The presence of VRSA coupled with the multple resistance patterns of these isolates are of great concern and also of public health significance. Therefore more studies on the epidemiology of this pathogen in foods are required.
A Comparative Study on Representing RDF as Graph and Hypergraph Data Model

— The semantic web gives a common framework that enables data to be shared and reused crosswise communities and applications. Semantic web depends on Resource Description Framework (RDF) graph data model, which is a standard model for data interchange on the web. Therefore, the success of the semantic web mainly relies upon the good creation of RDF. A powerful representation formalism for both structured and unstructured data are graphs that can be seen as a unified data representation. Also the development of the semantic web requires accessing large quantities of data stored in relational databases (RDB). Making data hosted in RDB machine understandable to the semantic web has been an active field of research during the last decade. Some of graph models that are used for representing an RDF succeed to solve some problems like blank nodes, reification, and answering queries posed by users and software agents, but fails in other problems like semantic reasoning and RDF query evaluation techniques. Also in the area of representing RDB as RDF graph data model none of these models defined a formal model for RDF graph model. Some database features like the normalization, function dependency, and query optimization does not address in the current graph representations. The purpose of this study is to present the important contributions that have been produced in the area of representing RDF as graph and hypergraph data model. Two models for representing relational database as an RDF graph data model are also reviewed.
Human Motion Tracking with Multiple Pose using Skeleton Model

-This paper presents a new technique for deriving information on human skeleton models with experimental motion tracking data. Human body tracking has received increasing attention in recent many years due to be used many broad applicability. These tracking of algorithms, pose estimation filter is consists an effective approach for human motion models. There motion tracking conveys a wealth of socially meaningful information. From even a brief exposure,biometrics,biological and medical terms motion enable the recognition of familiar with human, and inference of data attributes such as age, gender, normal actions day to day and many applications. Then a video based 3D human tracking algorithm we can infer physical attributes day to day actions of aspects of physical and mental state. The task is useful for man and communication with machine system and it provides the performance of 3D pose tracking methods. The results on a large corpus of human motion capture data and the output of a simple 3D pose tracker applied to videos of human.
Classifying Association Rules with Minimized Sets using Fuzzy-Aprioi Algorithm

Using Association Rule mining is extremely well-organized method for getting strong relation between correlated data or information. The correlation of data provides significance complete taking out progression. For the mining of positive and negative rules, a range of algorithms are utilized for example Apriori algorithm and tree based algorithm. A numeral of algorithms is be unsure presentation but manufactures huge number of negative association rule and also goes through from multi-scan difficulty. The proposal of is to get rid of these difficulties and decrease huge amount of negative rules. Here an efficient technique is implemented for the classification of association rules generated using Fuzzy-Apriori algorithm and classification of these rules can be done supervised learning such as Naive Bayes Algorithm. The proposed methodology implemented here provides efficient results as compared to the existing technique implemented for the generation of association rules.
ORAL FIELD CARCINOGENESIS: AN UPDATE

Patients with head and neck squamous cell carcinoma (HNSCC) often develop multiple (pre) malignant lesions. This finding led to the field of the cancerization theory, which hypothesizes that the entire epithelial surface of the upper aerodigestive tract has an increased risk for the development of (pre) malignant lesions, because of multiple genetic abnormalities in the whole tissue region. Demonstration of alterations in histologically normal tumor-adjacent mucosa from HNSCC patients supported this hypothesis. Currently, the question has been raised whether multiple lesions develop independently from each other or from migrated malignant or progenitor cells. Moreover, almost all primary remote tumors from HNSCC patients appear to be clonally unrelated. Therefore, there is more evidence that field cancerization is due to multiple independent events than to migration of genetically altered cells.
ADR ASSESSMENT OF ANTIRETROVIRAL THERAPY

BACKGROUND Botswana has a current prevalence of HIV infection at approximately 21.9% though in the age group of 20-45years average prevalence is about 37%. The introduction of HAART (Highly Active AntiRetroviral Therapy) which comprises combinations of at least 3 efficacious Antiretroviral drugs has shown effective suppressive rates and can improve quality of life. A certain proportion of patients may develop severe and even life-threatening side-effects and complications of therapy. METHOD: A retrospective study was carried out in a district hospital in Botswana for which data was collected from ADR Reporting form. Pharmacists record the ADR’s as reported either by the patient/care-giver/recent lab tests in case of Renal and Liver impairments. Data collection comprised of all reports made for the term 2015.Information collected included patient demographics, HAART, its initiation, co-morbidities, ADR suspected/reported and the change in treatment for the same. ADR assessment was carried out using the standard scales. RESULTS: A total of 66 patients were reported for Suspected ADR’s out of which there were 15(22.7%) males and 55(83.3%) females. Common ADR’s were Lipodystrophy, Renal Failure and in few cases were Psychosis, Gynaecomastia. Combivir(71%) was reported for most of them followed by Atripla(18%). ADR’s reported with co morbidities (15%) were less when compared to those with absence of any preexisting conditions. Causality assessment showed ADR’s were Probable (63.6%), Possible (16.6%), and Unclassified (16.6%) while Severity accounted for 51.5% of cases being Severe (Grade -6) and 45.4% being Mild.
Circuit Level Leakage Minimization Techniques in CMOS VLSI Circuits: Literature Review

: Low power has emerged as a principal theme in today’s world of electronics industries. Power dissipation has become an important consideration as performance and area for VLSI Chip design. With shrinking technology reducing power consumption and over all power management on chip are the key challenges below 100nm due to increased complexity. For many designs, optimization of power is important as timing due to the need to reduce package cost and extended battery life. For power management leakage current also plays an important role in low power VLSI designs. In CMOS circuits, increased sub-threshold leakage current refers static power dissipation is the result of low threshold voltage. For the most recent CMOS technologies static power dissipation i.e. leakage power dissipation has become a challenging area for VLSI chip designers. According to ITRS (International technology road-map for semiconductors), leakage power is becoming a dominant part of total power consumption. To prolong the battery life of portable devices, leakage power reduction is the primary goal. This paper describes about the various strategies, methodologies and power management techniques for low power circuits and systems. Future challenges that must be met to designs low power high performance circuits are also discussed.