Miracle-dz/UniFAR-FTUs huggingface dataset:
A Sinusoidal Noise Model Based Speech Synthesis For Phoneme Transition

: One well-known problem with speech synthesis is the occurrence of audible discontinuities at phoneme boundaries, which lead to the unnaturalness of synthetic speech. This paper presents a sinusoidal noise based mathematical method to reform the transition regions from one phoneme to another phoneme with low storage. The speech parameters of sinusoidal noise model were estimated and stored as polynomials to reconstruct the transition wave. According to the results, all transitions regions which are considered during this experiment have higher correlation values for lower order polynomial with less capacity ratio. In addition, to that the same experiment has been carried out by changing the number of FFT coefficient. As the FFT coefficient increases, capacity ratio was also increased, while correlation coefficient values were also increased. It was understood that a signal which is very close to the original signal can be generated with a lesser number of FFT coefficients
Screening of antimicrobial activity of Balsamodendron myrrha and Viola oderata used in Pakistani Folk medicines

The antibacterial activity of aqueous and ethanol extracts of Balsamodendron myrrha and Viola oderata were evaluated for anti-microbial activity using the agar well diffusion method against six pathogenic bacteria (Klebsiella pneumoniae, Escherichia coli, Pseudomonas, Salmonella typhi, Stapylococcus epidermidis and Enterococcus). These plants are commonly used in folk medicine to treat infections of microbial origin. The patterns of inhibition varied with the extracts, the solvent used for extraction and the organisms tested. The studies revealed that the activity was in decreasing order of ethanol extracts>cold-water extract>hot-water extract. The preliminary screening experiment revealed that the ethanol extracts of Balsamodendron myrrha and Viola oderata exhibited a higher antimicrobial activity than the cold and hot water extracts. The most susceptible bacterium was Escherichia coli.
A Fortified Identity Based Encryption (FIBE) For E-Health Management System in Cloud

Electronic health record maintenance is an evolving problem that we need to handle efficient information interchange. This system supports the patients to create their health relevant information, accomplish, govern and share certain information with hospital, Experts and others. Generally, the third party cloud service providers controls the EHR services which entails more interrelated operations. Here the challenge arises in the context of privacy preservation regarding patient’s medical information. The patient needs to share their information with various organizations and the data is nominated for various query operations. Here we need to face many issues regarding the security of the personal medical data. Access Credentials, Secure Interaction, Authentication Policy Behavior and Verification of Security Attributes. In order to deal such problems a novel high secure e-health management framework is proposed. This framework handles Access policy control, Fortified Identity based encryption (FIBE) and user specific proxy re-encryption methods for secure EHR distribution. We additionally demonstrate these system’s security and offer the Performance analysis. The result shows that our Novel High Secure E-Health Management Framework is predominantly great efficiency on behalf of re-encryption, which can be used to attain profitable cloud usage. Our comprehensive approach enhances the security, privacy and interoperability functions of EHR services.
EFFECTS OF AN AQUATIC VERSUS NON-AQUATIC RESPIRATORY EXERCISE PROGRAM ON THE QUALITY OF LIFE IN HEALTHY AGED PERSONS

Background: Aging process is growing in the world. Exercise improves well-being and auto-esteem of aged people by many factors, leading to QOL (quality of life) improve. This study intended to assess the effects of a respiratory exercise program developed in two ways aquatic and non-aquatic in the QOL of aged persons. Methods: fifty-nine volunteers between 60 and 65 years were randomized into 3 groups. G1 underwent a program of aquatic respiratory exercises. G2 participated in the same program, but out of the water. G3 did not undergo an exercise program, acting as the control. All volunteers answered SF-36 generic questionnaire to measure QOL. At the end of the program, subjects were assessed once again, with the same questionnaire. Individual results were compared to each subject before and after the program. Average group results were compared between the groups. Results: There were no Msc Division of Physical Therapy, University of the West of Parana, Brazil PHD Division of Physical Therapy, School of Medicine, University of Sao Paulo, Brazil PHD (Public Health Doctor), School of Medicine of Ribeirao Preto, Brazil Students at University of the West of Parana, Brazil Received in: aug, 15, 2005 Accepted in: nov, 27, 2006 significant differences among experimental groups. However, physical and emotional aspect responses showed p-values close to the critical point (p= .059 and .054, respectively). Conclusions: Aquatic respiratory exercises seem to improve functional and emotional aspect of aged subjects. However, it does not seen to affect the other SF-36 aspects. Studies with higher intervention time are recommended to get definitive conclusions about it.
Firewall-based Solution for Preventing Privilege Escalation Attacks in Android

In this paper, we are proposing a Firewall-based solution for protecting Android operating systems against privilege escalation attacks, mainly, confused deputy attacks and collusion attacks. The proposed Firewall protects the applications that have critical privilege permission. Any other applications without the critical permission will not be able to call protected applications via privilege escalation attacks. Since the Internet is the door of attack, we consider the permission to access Internet as a critical permission. As such, any application cannot access the Internet directly or indirectly, through privilege escalation, without confirmation of the user disallowing invulnerable leakage of private data. The proposed solution allows also protection to different critical permissions through the creation of multi-critical protection zones. We implemented the multi-critical protection zones by selecting READ_CONTACTS permission and INTERNET permission as critical permissions and the applications having one of these permission or both, they will be protected by our firewall against the privilege escalation attacks. The efficiency and effectiveness of the proposed solution are evaluated in this paper along with the imposed overhead. The evaluation includes the Android with one zone firewall and with two zones firewall.
Optimized super pixel segmentation for natural image using lazy random walk algorithm

– Image super pixel segmentation approach using the lazy random walk (LRW) algorithm with self-loops has the qualities of segmenting the pathetic restrictions and convoluted texture regions as extremely glowing by the new global probability maps and the transform instance policy. Our technique begins with initializing the seed positions and runs the LRW algorithm on the input image to gain the probabilities of each pixel. Then boundaries of original super pixels are obtained according to the probability and the commute time. Theoriginal super pixels are iteratively optimized by the energy utility, which is defined on the commute time and the texture quantity.The performance of super pixel is improved by relocating the midpoint positions of super pixels and isolating the large super pixels into miniature ones with optimization algorithm. The experimental results have confirmed that our method achieves recoveredact than preceding super pixel approaches.
Face Recognition of Illuminated Images Using Dwt and Pca

The look of a face image is severely affected by illumination conditions that obstruct the routine face recognition process. To recognize faces under varying illuminations, we have proposed a 2D wavelet-based normalization method so as to normalize illuminations. This method enhances the contrast as well as the edges of face images simultaneously in the frequency domain. It outperforms the predictable illumination normalization method which is based on the histogram equalization. Histogram equalization method only enhances image pixel gray-level contrast in the spatial domain. However, in the proposed method, face recognition system works effectively under a wide range of illumination conditions. The experimental results obtained by testing on the Yale face of database B. A simple metric, called PSNR is used as classifier.
A Review on Detection and Prevention of SQL Injection Attack

: Numerous product frameworks incorporate an electronic segment that makes them accessible to people in general by means of the web and can open them to an assortment of online assaults. One of these assaults is SQL infusion which can give assailants unapproved access to the databases. This paper exhibits an approach for securing web applications against SQL infusion. Patte rn matching is a framework that can be used to recognize or perceive any irregularity distribute a back to back action. This paper additionally displays an acknowledgment and evasion methodology for ensuring SQL Injection Attack (SQLIA) using Aho -Corasick pattern matching figuring Furthermore, it concentrates on various components that can identify a few SQL Injection assaults.
A Short Review for Selecting the Best Tools and Techniques to Perform Software Risk Management

The aim of this research paper is to study risk management system and to find some tools and techniques recommended by different journals and articles. We have gone through different approaches in context of risk management. We have taken risk management paradigm introduced by Software Engineering Institute as our standard to analyze different techniques and tools. Different features have been mined out from those models and trying to show shortcoming as well as asset qualities of those. Our approach is to find out best or suitable tools for software risk management in software development industries
An Efficient Approach for Protecting Similarity Search on Metric data Using Cloud

In This paper we are using the cloud computing technology to provide security for the metric data . The data is to be revealed only to trusted users, not to the service provider or anyone else. Users query the server for the most similar data objects to a query example. Outsourcing offers the data owner scalability and a low-initial investment. The need for privacy may be due to the data being sensitive (e.g., in medicine), valuable (e.g., in astronomy), or otherwise confidential. Cloud computing technologies and the propagation of ocation-based services, research on outsourced spatial databases has been spotlighted. Here fore, the traditional spatial databases owners want to outsource their resources to a service provider so that they can reduce cost for storage and management. Existing privacy-preserving query processing algorithms encrypt spatial database and erform a query on encrypted data. Nevertheless, the existing algorithms may reveal the original database from encrypted database and the query processing algorithms fall short in offering query processing on road networks.
Information Extraction using Context-free Grammatical Inference from Positive Examples

— Information extraction from textual data has various applications, such as semantic search. Learning from positive example have theoretical limitations, for many useful applications (including natural languages), substantial part of practical structure (CFG) can be captured by framework introduced in this paper. Our approach to automate identification of structural information is based on grammatical inference. This paper mainly introduces the Context-free Grammar learning from positive examples. We aim to extract Information from unstructured and semi-structured document using Grammatical Inference
The Role of Osteopontin in Adipose Tissue Inflammation and Macrophages Proliferation

Obesity is pathology associated with chronic low-grade inflammation, characterized by infiltration of adipose tissue with activated macrophages (ATMs). ATMs represent the main producers of cytokines involved in the onset of insulin resistance and type 2 diabetes. Osteopontin (OPN) is a cytokine expressed in the site of inflammation known to be strongly upregulated in obese adipose tissue. Recent studies point towards a critical role of local macrophage proliferation in adipose tissue inflammation suggesting that in obesity viability of macrophages is enhanced and apoptosis diminished. This review focuses on inflamed adipose tissue, ATMs infiltration and proliferation in the background of obesity and insulin resistance.
365-369 Samresh

In this present investigation the ethanolic extract of Madhuca longifolia bark (EEMLB) was screened for hepatoprotective activity against D-galactosamine (d-GalN) induced hepatiotoxicity in rats. Wistar rats were divided into five groups (n=6). Hepatotoxicity in rats was achieved by intraperitoneal injection of 400mg/kg of d-GalN for five days. Silymarin (100mg/kg) was given as reference standard. The degree of protection against liver toxicity was determined by measuring the serum biochemical parameters viz. SGPT (serum alkaline phosphatase), SGOT (serum glutamine oxaloacetate transaminase), ALP (alkaline phosphatase), total cholesterol and bilirubin (Total and Direct). The result shows that d-GalN has enhanced the levels of SGPT, SGOT, ALP, total cholesterol and bilirubin. Pretreatment with EEMLB (200mg/kg B. wt. and 400 mg/kg B. wt.) brought back the altered levels of biochemical markers to the near normal levels. Histopathological studies also confirmed the hepatoprotective activity of these extracts when compared with d-GalN treated groups. It can be concluded from the result that the extract of Madhuca longifolia bark possesses hepatoprotective activity against D-GalN induced hepatotoxicity in rats.
Incidence of Electrocution of a Leopard (Panthera pardus) in the Nilgiris, Tamil Nadu

With the increase in the human population over the past few years there has been a constant interaction between humans, livestock and wild animals. Human settlements have great impact on wild animal-habitat ultimately leading to destruction and fragmented habitats. When a wild animal’s habitat is altered due to various factors, an alternate adaptive way of existence is resorted by the wild animals, and this forces them to move through human settlements unaware if the impending danger. Electrocution has been reported in various animals and has been a case accidental exposure from either low voltage or high voltage electric supply. The Nilgiri Biosphere Reserve (5520 km2) comprises of various fauna and flora, but with the rising population and the human settlements not only deprived the wild animals of the use of significantly large areas of habitat but also deprived them of significantly preferred habitat. Human-wildlife conflicts were found to be intensified as population growth forced the development activities which infringed on wildlife habitats. This led to fragmentation and declining of habitat quality, eventually causing competitions between humans and various wildlife species with regard to space and resources and stressed wild animals often turned to crops or livestock for food. In the Nilgiris there are high end power lines and these lines that carry hydro electric power from the lake from which it is derived. These power lines pass adjoining forest regions and leopard being partially arboreal must have come in contact with one of the lines during predatory hunt or during wander. This paper deals with the case of a male leopard that was forced out from its habitat due to indwelling forces and was a victim of an unfortunate electrocution.
Position Based Forwarding Routing in Real Time City VANET

: - VANET (vehicular ad hoc network) is an open standard for inter vehicular communication in a road or with road side station with the vehicles. Therefore routing in VANET is used to provide safety services. However these protocols face several issues mainly flooding of packets network overhead and path loss that prevent network from guaranteeing their required high packet delivery ratio and low delay. The proposed paper tackle these issues using position based forwarding routing protocol. In this proposed system a node joins a multicast group. The group periodically broadcasts its location and direction obtained through GPS system based on the application data rate fixed, any of the group member based on scheduling generates application packet containing node IDs and position of the group. Proposed protocol can be used to carry out realistic communication between VANET nodes. The system can be used for location based Spatial query systems. It can also be used as an event notification system for VANET where events may range from traffic congestion, traffic light state change at junctions, accidents and so on. The protocol reduces significant network traffic overhead of unicast system where each node attempts to transmit data to every other node. With increase in number of vehicles route cache size explodes exponentially. Proposed system helps in reducing such overhead by limiting number of packet transmission by adopting multicasting rather than unicast transmission . Simulation results in city settings show that position based forwarding protocol perform best in terms of average packet delivery rate, with up to a 40% increase compared with some existing protocols. In terms of average delay, protocol performs best, with as much as 70% decrease compared with the other protocols.
Hybrid Algorithm for Approximate String Matching to be used for Information Retrieval

— Conventional database searches require the user to hit a complete, correct query denying the possibility that any legitimate typographical variation or spelling error in the query will simply fail the search procedure. An approximate string matching engine, often colloquially referred to as fuzzy keyword search engine, could be a potential solution for all such search breakdowns. A fuzzy matching program can be summarized as the Google's 'Did you mean: . ' or Yahoo's 'Including results for . '. These programs are entitled to be fuzzy since they don't employ strict checking and hence, confining the results to 0 or 1, i.e. no match or exact match. Rather, are designed to handle the concept of partial truth; be it DNA mapping, record screening, or simply web browsing. With the help of a 0.4 million English words dictionary acting as the underlying data source, thereby qualifying as Big Data, the study involves use of Apache Hadoop's MapReduce programming paradigm to perform approximate string matching. Aim is to design a system prototype to demonstrate the practicality of our solution.
Application of Big Data and Data Mining Techniques to Designing Building

 Abstract─Background/Objectives: This study suggests an approach in designing new building, specifically a library with peer to peer social big data and survey data. Methods/Statistical analysis: Big data techniques such as social data mining, text mining, and association rule analysis are used in this study. This study uses sentiment analysis and opining mining in analyzing social data. Association rule analysis is used to understand the behavioral patter in survey data on daily movement of users in libraries. Findings: This study confirms that big data techniques such as social data mining, text mining, and association rule analysis can be efficiently applied to designing a building such as a library. Nouns related to library extracted from social media such as Twitter &blogs describe major services and facilities many people want in libraries. Adjectives from social data show that users’ feeling on the libraries. An analysis of data set from actual movement behaviors in the library shows efficient routing for library users. The study finds that data mash-up and big data techniques can help design new building, which is more efficient and convenient for users. Improvements/Applications: Designing a building using more advanced technique such as an artificial intelligence technique is possible with more diverse applications in design areas.
Effects of Agronomic and Oil Processing Conditions on Natural Antioxidative Phenolics in Olive ( Oleaeuropaea L . )

Olive fruits contain appreciable amounts of phenolic compounds which are valuable antioxidants and bioactives. Secoiridoids, such as oleuropein, demethyloleuropein, oleuropein aglycone and ligstroside are the predominant classes of phenolic compounds in intact olive fruits, while 4-Hydroxyphenylethanol (4-HPEA), 3,4-Dihydroxyphenylethanol (3,4-DHPEA), the dialdehydic form of decarboxymethyl elenolic acid linked to 3,4-DHPEA (3,4-DHPEA-EDA) and oleuropein aglycone (3,4-DHPEA-EA) are the principal phenolic constituents of Virgin Olive Oil (VOO). The phenolic compounds originally present in the olive fruit are substantially changed by the conditions of oil processing (crushing, malaxation and phase separation) and distributed among the final product (VOO) and by-products in various ways. They may undergo further changes during storage. This paper reviews the effects of the processing steps on the transfer of phenolic compounds from intact fruit to the final product (VOO), as well as the effects of agronomic factors (cultivar, maturity and irrigation) on the phenolic constituents of olive fruits at harvest.
Analysis of Single Phase AC-DC Isolated Zeta Power Factor Converter

The power electronic converters and systems finds wide, ample and unexampled applications including defense sector, Industrial sector, automotive sector and other sectors. Still Total harmonic distortions and low power factor in power systems are major concerns created by Power converters. There are major impact of using conventional technique Single phase AC-DC conversion using a power semiconductor diode bridge with huge capacitor like as low order harmonics injection into AC power supply, low power factor, high peak current, line voltage distortion, increased electromagnetic interference and various additional losses. In this paper, Single phase AC-DC isolated ZETA converter with one power electronic switch is embraced to subjugate the several issues. By espousing the essential methodology such as Proportional Integral controller with Hysteresis current controller, it will meliorate the overall power factor and efficiency as well as subdue Total Harmonic Distortion and Voltage ripples will be reduced to the desired levels.
Efficient Content Based Image Search and Retrieval (CBIR) Using Sift Based On Multi Sort Indexing

A common approach to content-based image search and retrieval has been widely used to describe the process of retrieving desired image from a large collection on the basis features such as color, texture and shape. For efficient content search and retrieval many methods have been proposed but accuracy and search time has limiting factors in those methods such as hashing and tree based methods etc. To overcome this drawback, the proposed system has been designed which includes extraction SIFT features on multi sort indexing. By analyzing the high dimensional value cardinalities and inherent character of descriptor quantization and normalization have been used in the extraction process. Since dimension with unique value cardinality have more discriminative power a multiple sort algorithms is used. Multi sort indexing algorithm reduce the dimension based on cardinality so that two similar images lie within a close constant range from the experiments conducted with INRIA holidays datasets.