Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Search Based Face Annotation Using Weakly Labelled Facial Images

— Face recognition/detection presents a challenging problem in the field of image analysis and computer vision, and it is becoming more popular day by day because of its applications in various domain areas. Face annotation is one of the ways for recognizing face images. Auto face annotation is playing important role in many real-world applications. Face annotation task is part of face detection and recognition. Now a day’s research interest in mining weakly-labelled facial images on the internet for resolving research challenge in computer vision and image understanding is growing. A content-based image retrieval (CBIR) system needs users to query images by their low quality visual content. This process not only makes it difficult for users to formulate queries, but also can lead to unsatisfied results of image retrieval. To tackle this problem, Image annotation technique is used. The main aim of image annotation process is to automatically assign associate label to images, so image retrieving users are able to query images by labels and automatically detect human faces from a photo image and further name the faces with the corresponding human names. This paper provides various techniques or methods that are used for mining facial images from internet and annotating facial images.
Study on Haemostatic Dysfunction in Acute Viral Hepatitis

*Correspondence to: Dr. Vivek Bharadwaj Senior Specialist (General Medicine), R.B. M. Government Hospital, Bharatpur, Rajasthan, India. ABSTRACT Background: Viral hepatitis leads to liver failure in only a small number of cases (<1%). The reason for development of acute liver failure in certain patients is not clear. The present study was undertaken to evaluate the platelet quantitative and qualitative dysfunction and disturbances in coagulation function in acute viral hepatitis. Materials & Methods: The present study included 40 patients of either sex who attended medical outpatient department and got admitted in wards of R.B. M. Government Hospital, Bharatpur, Rajasthan (India) with jaundice with the history and examination suggesting viral hepatitis (with or without hepatic failure). These patients have been confirmed with viral marker for acute infection and were taken into study for haemostatic dysfunction. Results: In our study showed the out of 40 subjects, 16 were males and 24 were females. Only Hepatitis B infection was observed in the 50-60 year old group, which accounted for 14.28% of cases of Hepatitis B. Various haemostatic factors in patients with viral hepatitis when we compared these values with control was statistical significant, only clot retraction time did not show significant. Conclusion: We concluded that the platelet counts, clotting time, prothrombin time, activated partial thromboplastin time and fibrinogen levels show significant derangement when compared to controls, the defect being attributed to the deranged liver function.
Privacy Preserving Classification of heterogeneous Partition Data through ID3 Technique

: The goal of data mining is to extract or mine knowledge from large amounts of data. For information Extraction this knowledge several data mining classification techniques are used. ID3 algorithm is widely used technique in this classification arena. ID3 Algorithm classifies data by creating decision tree over heterogeneously partitioned data. In this paper we propose vertically partitioned micro array data along with preserving privacy by different methods of privacy preserving i.e. secure multi party computation However, micro data is often collected by several different sites. Privacy, legal and commercial concerns restrict centralized access to this data. Together, these enable the secure mining of knowledge. We focus on the problem of decision tree learning with the popular ID3 algorithm. We consider that database is vertically Partitioned into two pieces. Database which is considered is Micro array data that is heterogeneously classified.
Optimal Placement of FACTS Device to Maximize the Loadability of Transmission Lines

This paper deals with the optimal location of Facts device in electrical power systems, using proposed sensitivity performance index using Ant colony based UPFC controlled parameters. The proposed method ACO based optimal power flow control for optimal location. The proposed approach is tested on IEEE-14 bus system. The results obtained are quite promising for the power system operation environment.
A Fuzzy based Semantic Ontology Extraction for Email Classification

—Today’s business world common medium of communication is email. Email is not only used in the professional way it is used in the personal interest as well. So, one of the main concern is, that user can received mails which is relevant to the user and some mail those are not all related to the user. The main thing is we need to do is to identify the important email and then make a cluster of the similar mails. Concept extraction and clustering of concept is done based on fuzzy logic, similar mail pattern is grouped in a same cluster if similarity is less than threshold value a new cluster is defined for that. From the extracted concept author establish the relationship between them and generate the result. Update the important content in the calendar which makes user tasks very easy.
Incorporating Corrected Transient Energy Margin to the Clearing of Coupled Energy and Reactive Power Market

This paper incorporates Corrected Transient Energy Margin (CTEM) to the clearing of coupled energy and reactive power market in the form of multi objective framework which includes two objective functions. The first one is the minimization of offer cost of generators for their active power generation in energy market plus Total Payment Function (TPF) of generators for reactive power compensation. The second objective function is Corrected Transient Energy Margin (CTEM). The Optimal Power Flow (OPF) is used to clear the coupled market which is solved by implementing Multiobjective Mathematical Programming (MMP) using ε-constraint method. The proposed coupled market framework is studied based on the well-known New-England 39-bus test system.
A Survey: Structure of Machine Readable Dictionary

– MRD (Machine Readable Dictionary) is a huge lexical database of English Nouns, verbs, adjectives and adverbs which are merged into sets of cognitive synonyms (synsets), each one represents a unique concept. Synsets are joined using conceptual-semantic and lexical relations. The representation is on the level of word meanings called as lexemes. It can determine the meaning of word by its sets of synonyms. Synset has a unique index and shares its properties whereas both nouns and verbs arranged into hierarchies, representing “IS A” relationships. The relationships among the noun synsets can be interpreted as “SPECIALISATION” relations based on the concept. Hence this structure is a useful tool for computational linguistics and NLP which can be exploited as a lexical ontology.
Content-Based Video Indexing and Retrieval using Block Based Local Binary Patterns and Pixel Change Ratio Map (BBLBPPCRM)

— This paper introduces a novel framework meant for content-based video indexing and retrieval using block-based local binary patterns, and pixel change ratio map (BBLBPPCRM). The proposed algorithm is tested on a video dataset of forty video, in which ten videos are air-plane type, ten videos are sailing boat type, ten videos are car type, and ten videos are war tank type. The performance of the algorithm is compared with existing methods, volume local binary patterns (VLBP)
Salt and Pepper Noise Removal in Digital Images Using Modified Decision Based Filter

Digital images are corrupted frequently by impulse noise during the procedures of acquisitions and their transmissions. An effective VLSI architecture is designed in this paper to remove the salt and pepper impulse noise from the images. Modified Decision tree is used for detecting the noisy pixels and the noise density. Mean and Median filtering technique is applied to restore the noisy pixels. Moreover with this architecture we can determine the high density and low density impulse noise. It is implemented using the Xilinx ISE design suite and tested in Spartan-3E FPGA kit by interfacing it with the PC using the RS232 cable. The implemented design shows better results in visual quality in the noise removed image also it has less complexity and improved performance.
Sign Language Recognition For Deaf And Dumb People Using ANFIS

In the world of sign language, and gestures, a lot of research work has been done over the past three decades. This has brought about a gradual transition from isolated to continuous, and static to dynamic gesture recognition for operations on a limited vocabulary. In present scenario, human machine interactive systems facilitate communication between the deaf, and hearing people in real world situations. In order to improve the accuracy of recognition, many researchers have deployed methods such as HMM, Artificial Neural Networks, and Kinect platform. Effective algorithms for segmentation, classification, pattern matching and recognition have evolved. The main purpose of this paper is to analyze these methods and to effectively compare them, which will enable the reader to reach an optimal solution. This creates both, challenges and opportunities for sign language recognition related research
Live Hand Gesture Recognition using an Android Device

— In the field of image processing it is very interesting to recognize the human gesture for general life applications. Gesture recognition is a growing field of research among various human computer interactions; hand gesture recognition is very popular for interacting between human and machines. It is nonverbal way of communication and this research area is full of innovative approaches. This paper aims at recognizing 40 basic hand gestures. The main features used are centroid in the hand, presence of thumb and number of peaks in the hand gesture. That is the algorithm is based on shape based features by keeping in mind that shape of human hand is same for all human beings except in some situations. The recognition approach used in this paper is artificial neural network among back propagation algorithm. This approach can be adapted to real time system very easily. In this paper for image acquisition android camera is used, after that frames are send to the server and edge detection of the video is done which is followed by thinning that reduce the noise, tokens are being created from thinning image after tokens are fetched. The paper briefly describes the schemes of capturing the image from android device, image detection, processing the image to recognize the gestures as well as few results.
ANTICANCER ACTIVITY OF GALLIC ACID ON CANCER CELL L INES, HCT15 AND MDA MB 231

Cancer is the main leading cause of cancer deaths w orld ide and chemotherapy is mainly used to treat c ancer. However, the severe side effects of the drugs led t he researchers to search for an alternative. Gallic c d, being a polyphenols, has been reported for its antiprolifer ative activity against many cancer cell lines. More ov r, its cytoprotective activity made gallic acid a potential compound in c an er therapy. Since colon cancer and breast cancer s ar among the most prevalent, the present study examines the anti cancer property of gallic acid against two these tw o cancers, HCT15, human colon cancer cell line and MDA MB 231, human breast cancer cell line. The finding estimat ed the IC50 of the compound against the two cell lines. The pre sent study also predicted the possible mechanism of the activity to be apoptosis, yet a detailed study is needed to find o ut the molecular targets.
Importance of Hepatic Flows in Liver Transplantation

Establishing appropriate dual blood supply in liver transplant is important to ensure optimal graft survival and post-operative outcomes. The hemodynamic changes in cirrhotic patients render the patients with hyperdynamic circulation and this environment raises the portal venous flow through the graft immediately after transplant. In deceased donor liver transplantation, lower hepatic flows are associated with detrimental outcomes. Lower measured hepatic artery flow has been associated with lower graft survival and higher rate of arterial complications. Lower portal venous flow of less than 1-1.3 L/min has been associated with lower graft survival. Lower hepatic artery flow is associated with increased rate of biliary complications after deceased donor transplantation. In live donor liver transplantation, portal hyperperfusion is implicated in small for size syndrome. Maneuvers to decrease portal venous flow such as splenic artery ligation, splenectomy or portacaval shunt have been associated with improved outcomes after live donor liver transplantation. It appears that relationship between higher portal flows and poor outcomes is not yet firmly established in that the live donor liver graft may tolerate higher PV flows when the outflow of the graft is well established and if the higher PV flow is not accompanied by portal hypertension. The importance of blood flow in liver transplantation is undeniable. Further studies are required to establish the relationship between the portal and hepatic arterial flows to biliary and arterial complications after liver transplantation.
PHYTOSOCIOLOGICAL STUDIES ON TEPHROSIA PURPUREA L. IN VINDHYA REGION

Ecological studies determines the influence of environment on the life of plants and crops community. The structure of a community is formed with the continuous interaction of climatic, edaphic and biotic factors. A competition among the different species as well as the same species also affects greatly the structure of the community. Thus during the course of present investigation only the qualitative characters viz. Frequency, Density, Dominance and Importance Value Index has calculated to assess the structure of the community in which the plant Tephrosia purpurea L. flourishes. In the present study, Tephrosia purpurea and its associates have been recorded in the four districts viz. Rewa, Satna, Sidhi and Shahdol of the Vindhyan region.
Proposing a Model for Production Agility Measurement , Using Industrial Automation Effectiveness , with Case Study in Amol School Facilities Company Shahab Hosseinzadeh

Following advent of new scopes of science and technology and their applications in industry, drastic progresses have occurred in this field; automation is an instance of such phenomena. Application of industrial automation plays a crucial part in making the producing companies agile. In fact, agility concept serves as an organizational guideline and model, and industrial automation is regarded as an approach for implementing this target. For this purpose in the current research, agility degrees of post-automation and pre-automation production are determined based on the proposed practical model through demonstrating statistical data observed before and after implementation of the automation process and partitioning these data on the diagram. In addition, impact of industrial automation is analyzed on agility indices of production. Then, the resulting Agilization value is measured.
Prevalence of Non-Alcoholic Fatty Liver among Adults in Khartoum- Sudan: Epidemiological Survey

Non-alcoholic fatty liver disease (NAFLD) is diagnosed increasingly in adults, but the prevalence remains unknown. This study was designed with an aim to determine the prevalence of NAFLD in a population based sample in KhartoumSudan by an epidemiological survey. A prospective, cross-sectional study was carried out among 500 Sudanese adults (200; 40% males and 300; 60% females) aged 15 to 80 years, in between March 2011 to March 2013. Participants underwent physical examination, laboratory tests and ultrasonography examination of the liver. Diagnosis of NAFLD in this study was based on sonographic evidence of a NAFLD and testing negative for serum hepatitis B surface antigen (HBsAg) and anti-hepatitis C virus antibody (anti-HCV) antibody. Of the 500 participants negative for HBsAg or anti-HCV antibody, the overall prevalence of NAFLD 15%, 4.4% in males and 6.6% in females. NAFLD prevalence differs by race and ethnicity; location in Sudan (Center: 36.36%; North: 7.27%; South: 21.82%; East: 16.36% and West: 18.18%). The most significant factors associated with the presence of NAFLD were weight category, elevated alanine aminotransferase (ALT) and increase Non high density lipoprotein (Non-HDL) cholesterol level. Obesity is a major risk factor and is associated with high rates of NAFLD. It is recommended that ultrasonography of the liver to be included in the routine health examinations of obese adults. Clinicians must be aware of the limitations in the available methods to diagnose NAFLD. [Elkhader BA, Mahmoud MZ. Prevalence of Non-Alcoholic Fatty Liver among Adults in KhartoumSudan: Epidemiological Survey. J Am Sci 2013;9(6):62-66]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 8
Invitro Regeneration of Arabidopsis Thaliana from Suspension and Invitro Cultures and Analysis of R Antioxidant Enzyme L

Arabidopsis tissue culture is valuable for any laboratory working on this model plant. Tissue culture methodology facilitates the production of a large number of plants that are genetically identical over a relatively short growth period. Currently this in regeneration system is a good system to study the mechanism by which plants show regenerative plasticity. Plant regeneration is a key technology for successful stable plant transformation, while cell suspension cultures can be exploited for metaboli profiling, kinetic study and mining. In this paper we report methods for the successful and highly efficient in vitro regeneration of plants and production of stable cell suspension lines from cotyledons of Arabidopsis thaliana. It is an easy and reproducible method of regenerating Arabidopsis plants from callus culture. A combination of 6-benzylaminopurine (BAP) and α naphthalene acetic acid (NAA) in a Murashige and Skoog's (MS) based medium gives a high percentage of shoot formation. Further cell suspe were used to study the growth kinetics and also for checking level of antioxidant enzymes at different stages of culture. An expression analysis of antioxidant genes such as superoxide dismutase (SOD) and ascorbate peroxidase (APX) was also at callus, shoot and root regeneration stage. It was | Volume – 2 | Issue – 1 | Nov-Dec 6470 | www.ijtsrd. com | Volume Journal of Trend in Scientific and Development (IJTSRD) International Open Access Journal
Facial Expression Recognition Using Local Binary Pattern and Support Vector Machine

— Facial expression analysis is a remarkable and demanding problem, and impacts significant applications in various fields like human-computer interaction and data-driven animation. Developing an efficient facial representation from the original face images is a crucial step for achieving facial expression recognition. Facial representation based on statistical local features, Local Binary Patterns (LBP) is practically assessed. Several machine learning techniques were thoroughly observed on various databases. LBP features-which are effectual and competent for facial expression recognition are generally used by researchers Cohn Kanade is the database for present work and the programming language used is MATLAB. Firstly, face area is divided in small regions, by which histograms, Local Binary Patterns (LBP) are extracted and then concatenated into single feature vector. This feature vector outlines a well-organized representation of face and is helpful in determining the resemblance among images.
A WAVELET BASED DIGITAL IMAGE WATERMARKING SCHEME USING LSB TECHNIQUE

: In this present era of information technology and rapid technological advancements, the Internet is increasingly playing a role in the offering of multimedia resources through digital networks. This poses a threat of unauthorized possession and usage of digital material. An additional threat is the illegal tampering and modification of digital material. The need for techniques to protect the copyright of digital material thus arises. The present challenges and factors that need to be taken into consideration are the protection of ownership rights against illegal activities in such a manner that the ownership of the digital material is beyond dispute. The previous literatures used least significant bit technique directly into image pixels, this degrade the perceptibility of image and also decreases the security of watermarking scheme. It is better if one put the secret message using LSB technique in any other domain e.g. in spatial domain, so that, no one can modify or alter the original message information. Furthermore, to increase the security of secret message, message should be encoded before embedding it in cover image. The Huffman coding used in proposed work in order to increase the security of secret message by encoding the message into Huffman code before embedding it using least significant bit in spatial domain.
Performance Evaluation of Real Time Applications for RIP, OSPF and EIGRP for flapping links using OPNET Modeler

Present day Internet and communication systems heavily rely on the basis of IP Routing protocols. These different routing protocols are mainly categorized as static, dynamic and hybrid routing protocols. The selection of these routing protocols depends upon the network requirement and performance parameters of different real time applications. This paper investigates the performance of voice and video traffic in RIP, OSPF and EIGRP for flapping unstable links. We are considering the use of OPNET simulation tool to analyze the performance of these routing protocols i
Implementation of Parameter based Partially Parallel Encoder Architecture for Long Polar Codes

— Polar coding is an encoding/decoding scheme that demonstrably attains the capacity of the class of symmetric binary memory-less channels. Due to the channel achieving attribute, the polar code turns out to be one of the most optimal error-correcting codes. But, polar code must be long enough to have a decent error-correcting capability. Even if the earlier fully parallel encoder is inherent and easy to realize, it is inappropriate for long polar codes due to vast hardware complexity required. In this work, partially parallel folded encoder architecture is designed. The fully parallel architecture is transformed by analyzing its data flow graph, delay requirement calculation, lifetime analysis and register allocation, which gives the resultant folded architecture with mitigated hardware use. The encoder enhanced in the Very Large Scale Integration orientation which allows a tradeoff between the throughput and hardware complexity. It can be methodically used to the design of any polar code and to any degree of parallelism. Finally the power, area and delay reports of folded encoder architecture with comparison of existing work are presented.
Emerging NanoFETs and Electrostatics Influencing Nanoscale Transistors: A Review

— As the dimensions of transistors shrink, the close proximity between the source and drain reduces the ability of the gate electrode to control the potential distribution and the flow of current in the channel region because of which undesirable short channel effects starts plugging in MOSFETs. For all practical reasons, it seems to be impossible to scale the dimensions of classical bulk MOSFETs below 20nm. To satisfy Moore’s law in nanometer regime, the evolving nanotransistors are the promising alternatives to the planar MOSFETs. Nanotransistors reduce the short channel effects with improved device performance in terms of reduced power supply, power dissipation, leakage currents and improved scalability. This paper discusses about the challenges for scaling the transistors in nanoscale regime and also gives an insight on various types of emerging nanotransistors.