Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Restoration using Bregman Iteration

- The digital image processing refers to processing of two dimensional images by digital computer. The image restoration is the reconstruction process applied to the degraded images. The removal of noise from images can be done by filters. New techniques are involved in the field of restoration other than filters. Nonlocal Image representation has shown great potential in various low-level vision tasks. The usage of patches introduced many ideas of restoration process. The spatially adaptive iterative single value thresholding algorithm provides better results by using patches. The dictionary used by the algorithm is based on discrete cosine transform or principle component analysis. The patch based restoration suffers from two problems called computational complexity of dictionary learning and inaccurate sparse coding coefficients due to ignorance of relationship among patches. The above two problems are avoided by group based sparse representation of images. The group sparsity relaxes the complexity by having similar patches in the group. The dictionary used is self-adaptive exploiting self-similarity of images. The l0 minimization problem occurred during patch matching will be overcome by Split Bregman iteration.
A Survey on Meta Information Based Text Data Clustering and Classification

— Text clustering is important problem in recent years due to the tremendous amount of unstructured data which is available in various forms in online forums such as the web, social networks, and other information networks. This problem finds number of applications in classification, visualization, document organization, collaborative filtering and indexing. The paper provides a detailed survey of the problem of text clustering. It discusses the key methods used for text clustering, and their relative advantages. The problem of classification has also been widely studied in the database, data mining, and information retrieval community’s . The paper also provides a detail survey of a wide variety of text classification algorithms. In most cases, the data is not available only in the purely text form. Large amount of meta-information is available along with the text documents. This meta-information may be of different kinds, such as the links in the document or webpage, user-access behavior from web logs or links or other non-textual attributes which are embedded into the text document. Such unstructured attributes may contain a tremendous amount of information for clustering purposes. Therefore, this paper also focuses on approach which carefully ascertains the coherence of the clustering characteristics of the meta information with that of the text content. This will help in improving the quality of the clustering effects of both the text data and meta information. The paper then shows how to extend the clustering approach to the classification problem using the meta information of the text documents.
Post Incident Analysis Framework for Automated Video Forensic Investigation

The need for proper and acceptable forensic process is necessary due to the proliferation and advancement of high digital technology in all aspect of our life. Also the desire and needs for optimizing time and cost of doing things push humans to deeply depend on digital data for decision making. The legal system has also been investing heavily on this area to develop a framework and technology improvement. Therefore there is a need for an automated video forensic investigation tool and a proper development of a framework that can address the sensitive issues associated with this application. A crime culprit may walk scot-free or an innocent suspect may suffer negative consequences, both monetary and otherwise, simply on account of a forensics process or investigation that was inadequate or improperly conducted. Computer related crime are on the rise and skipping one aspect of forensic process or step may result into incomplete or inconclusive result of investigation that may affect interpretation and conclusions in a court of law. In this paper, we propose a novel automated post incident analysis framework which is able to tackle the challenges of video, realistic and practical outdoor surveillance scenarios.
The forecasting of Potential Evapotranspiration using time series analysis in humid and semi humid regions

Stochastic models have been proposed as one technique to generate scenarios of future climate change. The goal of this study is the simulation and modeling of monthly Potential Evapotranspiration (PET) using stochastic methods. Also, in this research for calculation of PET was used the Thornthwaite method.The 28-year data PET at yasuj Synoptic Station in southwest of Iran have been used in this study and based on ARIMA model, the autocorrelation and partial autocorrelation methods, assessment of parameters and types of model, the suitable models to forecast monthly PET was obtained. After models validation and evaluation, the forecasting was made for the crop years 2012-13 and 2013-14. In view of the forecasting made, the findings of the forecasting show an increase in PET along with a narrowing of the range of variations.
Image Classification-Review

 Abstract — Hyper-spectral images display strong dependencies across spatial and spectral neighbors’, which have been proved to be very helpful for hyper-spectral image classification. High-resolution images have the type of plentiful geometric and detail information, which are useful to detailed classification. The predictable algorithm integrates spectral, spatial contextual and spatial location cues by modeling the probabilistic potentials. It is well implemented through split trainings of easy classifiers defined by equivalent potentials. Experiments Hyper-spectral images display strong dependencies across spatial and spectral neighbors, which have been proved to be very helpful for hyper-spectral image classification. High-resolution images have the type of plentiful geometric and detail information, which are useful to detailed classification [13]. Experiments on real-world hyper-spectral data illustrate that algorithm is reasonable with the most current results in hyper-spectral image classification. The projected algorithm integrates spectral, spatial contextual, and spatial location cues within a CRF framework to give matching information from changing perspectives, so that it can deal with the common problem of spectral inconsistency in remote sensing images, which is directly reflected in the accuracy of each class and the average accuracy. The new results with three high-resolution images prove the validity of the algorithm, compared with the other state-of-the-art classification algorithms [6].
An Extended Agile Software Development Project Budget Model

The aim of this paper is to develop an extended agile software development project budget model for the incorporation of an explicit risk management practice in the agile software methodology. This became necessary since the importance of managing risks explicitly in the agile software development methods is increasingly being stressed as seen in the literature reviewed. However, the knowledge of the constituents of explicit risk management is not streamlined yet and consequently its cost is not known. To achieve the aim of this paper, the constituents of an explicit risk management process were first derived. This was followed with development of Use Case model to enable the researcher identify the various requirements that would be involved in developing the model. The development of the extended model was then made with the aid of the use case model. The model, though theoretical, will give insight to stakeholders, developers and business analysts on the budget requirements of explicitly managing risk in the agile software development projects.
Reducing the Affective Filter: Using Canine Assisted Therapy to Support International University Students' English Language Development

This exploratory mixed-methods study examined the influence of an on-campus canine therapy program on linguistically diverse international students’ perceptions of their English language development and stress. Participants were recruited from English language support classes at a mid-size western Canadian university and were randomly selected from a larger pool of participants indicating interest in the study. Seven participants attended five canine therapy sessions in which they interacted with certified therapy dogs working as part of a campus initiative to reduce stress and homesickness on campus. Both formative and summative data collection was done with students completing weekly stress assessments, responding to summative questions asked in an interview, and elaborating on their views in a focus group discussion. The following key themes emerged with students describing: 1) decreased overall stress; 2) improvements in their sense of belonging in the campus community with dogs as social catalysts; and 3) increased opportunities to practice oral language skills through interactions with dog handlers and fellow students in the lab. Implications are discussed within the context of reducing the affective filter for language learners and increasing accessibility to programs for international students.
Performance Evaluation of AES using Hardware and Software Codesign

– Implementation of Advanced Encryption Standard (AES) algorithm is more intensive discussion from its starting publication especially in terms of performance. However the studies of implementation of AES using hardware or software, the performance and cost are high to low respectively. The propose method is implemented using hardware and software Co design. This paper presents AES implementation on different platform like ARM7, micro-blaze, FPGA and compares the results with these performances. The target hardware used in this paper is Spartan 3s400PQ208-4 FPGA from Xilinx. The performance is simulated and validated
Pharmacological Evaluation of Parmelioid Lichen Flavoparmelia Caperata (L) Hale WithSpecial Reference To Analgesic and Anti Inflammatory Properties

Lichens depsides play a key role in the pharmacological importance that contributes in managing clinical disorders. This will provide further clues whether the exogenous depsides regulates cell growth, revealing new communication avenues between organisms of different kingdoms. At this juncture, it needs to be stated that such a cross-kingdom communication so far, has not been previously considered for the lichen species of this study. Hence this work may probably, be the first attempt to explore the impact of depsides of parmelioid lichens on animal and microbial kingdom. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 17-10-2018 Date of acceptance: 31-10-2018 -------------------------------------------------------------------------------------------------------------------------------------
EDGE a-ZAGREB INDICES AND ITS COINDICES OF GRAPH OPERATIONS

In this paper, the edge a-Zagreb indices and its coindices of some graph operations, such as generalized hierarchical product, Cartesian Product, join, composition of two graphs are obtained. Using the results obtained here, we deduce the F -indices and its coindices for the above graph operation. Finally, we have computed the edge a-Zagreb Index, F -index and their coindices of some important classes of graphs.
Critically Appraised Papers and Topics Part 1: Use in Clinical Practice

Athletic therApy todAy © 2008 Human Kinetics Att 13(5), pp. 10-12 IN RECENT YEARS, evidence-based medicine (EBM) has become an increasingly important concept for guidance of clinical practice in health and medicine. This approach to clinical practice involves not only the best current research evidence, but also incorporates the clinician’s individual expertise, and, most importantly, the patient’s personal values and goals. Because current technology allows the modern patient to effortlessly access health care and medical information, it is critical for health care professionals to remain up to date with research. The demand for clinicians to be conscious of the most efficient way to access this research is becoming a necessity. Most research evidence can be found by searching databases and journals; unfortunately, some publications do not necessarily ensure the quality of a study. Therefore, critical appraisal is a fundamental skill for clinicians whose practice is guided by EBM principles. The purpose of critically appraising research is to determine whether or not the results should be translated and applied to clinical practice. The clinician should be Michael G. Dolan, MA, ATC, CSCS, Report Editor
Review Paper on Implementation of Mining Facets Automation for the Searched Queries

: Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. The process of finding query facets which are in the form of multiple groups of words or phrases will be address as a problem to explain and summarize the content covered by a query. Facet is a set of items which describe and summarize one important aspect of a query; here a facet item is typically a word or phrase. A query may have multiple facets that summarize the information about the query from different perspectives. It is assumed that the important aspects of a query are usually presented and repeated in the query’s top retrieved documents in the style of lists and query facets can be mined out by aggregating these significant lists. Query facets provide interesting and useful knowledge about a query and thus can be used to improve search experiences in many ways. To assist information for finding faceted queries a technique is explore that represent interesting facets of a query using groups of semantically related terms extracted from search results. Web search queries are often multi-faceted, which makes a simple ranked list of results inadequate. So, a method is used, refer to as QDMiner to automatically mine query facets by extracting and grouping frequent lists from free text, HTML tags, and repeat regions within top search results. Search results based on used method will simply improve the efficiency of user’s ability to find information easily.
An Efficient Modified Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression

: This paper presents a grayscale encoder for the lossless compression of color filter array images which consists of a modified hierarchical predictor and context-adaptive arithmetic encoder. In this the image is divided into subsamples and each subsampled image contains only one color component in the case of Bayer CFA image. Here the green pixels are separated into two sets , one set is encoded by a conventional gray scale encoder, which is used to predict the other set green pixels. Both sets green pixels are used to predict the reds, and green and red pixels used to predict blues. From this process the predictors are designed by considering edge direction. From this the consuming oftime is reduced and then the peak signal to noise ratio estimated. Then resulting bits further the context adaptive arithmetic coding is applied. The experimental results shows less bits per pixel than the conventional lossless compression methods.
Comparison of Online Record Linkage Techniques

– Record linkage refers to the act of linking records from different data sources. In order to accomplish this goal, one must resolve several types of schema integration problems since the records are contained in different databases. Statistical record linkage techniques could be used for solving this problem. However, the use of such techniques for online record linkage could result a huge communication overhead in a distributed environment where entity heterogeneity problems are often encountered. In order to resolve this issue, a matching tree is developed, which is similar to a decision tree. Using this matching tree we could obtain results that are guaranteed to be the same as those obtained using the conventional linkage techniques. Using this technique, communication overhead while linking records can be reduced significantly. In this paper three such record linkage techniques which work based on the matching tree are described . This work compares the techniques based on communication overhead and system parameters. The communication overhead can be calculated as the percentage of size of the remote database. System parameters like system memory, system speed, load at the remote site etc are considered for monitoring the performance of the techniques .
GSTARS: Generalized Statistical Dynamic Source Routing For Manets

Anonymous Transmission is the key problem in the case of MANETs. It is difficult to get the original source along with location on the conversation website link plus the other nodes involved with the item. MANETs are prone under selected situations such as passive assaults along with targeted traffic examination assaults. Here to explain this targeted traffic examination trouble, reveal many of the approaches along with assaults that could infer MANETs will still be vulnerable under the passive assaults. To exhibit the way to uncover the conversation patterns without decrypting this taken packets, In this MANET Targeted visitors Routine Breakthrough, the heuristic tactic (MTPD). To find out this package patterns MTPD operates passively along with does this targeted traffic examination while using record features on the taken organic targeted traffic. Here we can decide the original source node, location node plus the end-to-end conversation course in the case of mobile ad hoc sites.
Current Practices in Information Fusion for Multimodal Biometrics

Integrating different information originating from different sources, known as information fusion, is one of the main factors of designing a biometric system involving more than one biometric source. In this paper, various information fusion techniques in the context of multimodal biometric systems are discussed. Usually, the information in a multimodal biometric system can be combined in senor level, feature extraction level, match score level, rank level, and decision level. There is also another emerging fusion method, which is becoming popular—the fuzzy fusion. Fuzzy fusion deals with the quality of the inputs or with the quality of any system components. This paper discusses the associated challenges related to making the choice of appropriate fusion method for the application domain, to balance between fully automated versus user defined operational parameters of the system and to take the decision on governing rules and weight assignment for fuzzy fusion.
Evaluation of differential expression of miRNAs in response to oxidative stress in Brassica juncea

Oxidative stress constitutes one of the most deterrent abiotic stresses that interfere with the agricultural potential of crop plants. To induce tolerance against such stresses the role of miRNAs (microRNAs) has been implicated time and again. MicroRNAs have been shown to play significant role in regulating various abiotic stress responses in plants. In this work we have evaluated the role of several conserved microRNAs that showed differential expression in the plants of Brassica juncea under various oxidative stresses: miR164c and miR169c are up-regulated in the plants whileas miR156a, miR391 and miR400 are down-regulated. The expression of selected conserved miRNAs responsive to different oxidative stresses was validated through Northern Blotting. Target transcripts of these conserved miRNAs were validated through qRT-PCR to ascertain the role of these miRNAs in the transcriptome of B. juncea. The expression of miRNAs was shown to be in conformity with the expression of their predicted targets.
Development of collagen-EDC scaffolds for skin tissue engineering: physicochemical and biological characterization

A leading consequence of burns is the loss of large extensions of skin. Thus, skin tissue engineering has been increased and promoted development of biomimetic skin scaffolds. Type I collagen is one of the most materials used in tissue engineering due to its biological characteristics. However, the applications of collagen as biomaterial are severely limited by its reduced physicochemical and mechanical properties, such as high susceptibility to enzymatic degradation in vivo and low thermo stability. To enhance collagen properties, crosslinked collagen scaffolds at different concentrations of 1-ethyl-3(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC) were prepared by freeze-drying technique. The effect of crosslinking and concentration on scaffolds physicochemical and biological behavior was evaluated. Scaffolds morphology was observed by Scanning Electron Microscopy, showing in all cases an appropriate microstructure for biological applications. Differential Scanning Calorimetric showed an increase in shrinkage temperature (TS) with increase in EDC concentration. Infrared Spectroscopy suggested that the secondary structure of collagen is not affected after the crosslinking. Enzymatic degradation test indicated that scaffolds treated with EDC dissolved slowly in enzymatic solution (just 12% of degradation after 96 h). Cell viability and attachment tests suggested that EDC treatment do not affect the excellent biological characteristics of collagen. Keywords— collagen, crosslinking, enzymatic degradation, freeze-drying, skin.
Television program format preferences and aggression of football fans

In this study, relations between television program format preferences of football fans and manifestation of aggressive behavior are examined. Data is collected with a sample of television football show viewers in Turkey. Results revealed fanship, aggression and format preferences during hours of football television program viewing are all interrelated. The significant preference of fan audiences for belligerent football shows among the other major types of football program formats available on Turkish television stations was found to be in correlation with aggression trait. Aggression was found to increase the hours of viewing. As a vicious circle, the hours of viewing the sports television programs further elevates fanship.
Requesting a complete biosensor system in phyto-sourced drug discovery and development

Constituents from plant origins constitute about 25% of prescribed drugs in modern medication library. But the time taken from discovery to reaching the clinical therapy for a new drug in this field is approximately 12 years. In the modern scientific world, biosensors could lead to groundbreaking and positive changes in drug discovery and development with the potential applicability and advantageous facts coined as simplicity in use, higher sensitivity, rapidity, potential miniaturization, ease of handling, portability and economy: in comparison to well-established, lab-based conventional methods. Keeping a hope that biosensory can be an impending weapon in the phytomedical field of research, the present study is carried out through a comprehensive and systematic bibliographic search in articles and patents in the databases namely Science Direct, Scopus, Pub Med, Web of Science, INPI, EPO, WIPO, USPTO, CIPO, and miscellaneous. As per acquired results, it is evident that there is no direct link to a complete phytotherapeutic research conducted using biosensors but the successful use of biosensors in other fields reflects a possibility of it making a tuneful continuation in the field of phyto drug discovery and development.