Miracle-dz/UniFAR-FTUs huggingface dataset:
Speech Enhancement by a Microphone Array Using Various Modelling Approach

Speech enhancement is one of the most important topics in speech signal processing. The main difficulty towards enhancement is different environmental conditions as well as speech enhancement is processed in real time basis. In this paper a new approach towards speech enhancement is proposed using EM algorithm and Hidden markov model (HMM) model. This unique approach gives information about statistical structure of speech signal using speech model. In this paper, we present a new technique to improve the peak signal-to-noise ratio in the enhanced speech signal by using an adaptive implementation of the Wiener filter. For this paper, a comparative performance analysis of lower values of noise signal and higher values of noise signal has been estimated. Four performance criteria are utilised in this study, peak signal to noise ratio, MMSE, delay in filtering, convergence rate. Here combination of EM algorithm and HMM model are used for good quality of clean signal. There is a strong reason why Hidden Markov Model is used, the model is very rich in mathematical structure and it is based on probabilistic approach, hence can form the theoretical basis for use in a wide range of applications. By using this model results also shows that for lower values of noise signal PSNR is in the range of 70 db and for higher values of noise signal PSNR value decreases linearly. Other performance parameter varies with respect to each other.
Morpho-physicochemical characterization of Kartiksail rice(Oryza sativa L.) land races of Bangladesh

Twenty one land races of Kartiksail rice of Bangladesh were studied at Bangladesh Rice Research Institute during T. Aman2011. The analysis of variance of 37 morpho-physicochemical characters showed highly significant differences among the land races. The mean performances showed that wide range of variations among the genotypes was existed and there was no duplicate genotype. The seedling height varied from 53.24 (KS15) to 82.93 cm (KS1), culm height from 80.80 (KS15) to 117.0 cm (KS6), straw yield per hill from 12.34 (KS3) to 34.39 g (KS14), panicle length from 19.81 (KS13) to 27.04 cm (KS5), secondary branch number from 15.67 (KS13) to 49.0 (KS5), grain length from 44 (KS16) to 10.6 mm (KS19), 1000-grain weight from 16.52 g (KS16) to 30.06 g (KS13), protein content from 6.6% (KS10) to 10% (KS20), grain yield per panicle 1.58 (KS15) to 3.82 g (KS1) and grain yield per hill from 16.83 (KS17) to 29.84 g (KS19), respectively. Besides, high GCV and hb together with high GAPM were observed in secondary branch number, LB ratio, seedling height, 1000-grain weight, protein content etc. suggested that selection may be effective for these characters in segregating generations. The correlation between different characters indicated that the higher the PBN, APBL, SBN and SBFGW possessed greater PL and PGY and these characters emerged as most important associates of grain yield in rice. Finally, the identified traditional rice germplasmof the present study can offer a valuable gene reservoir which needs to be characterized as well as mapping the QTL using molecular tools for validating useful genes. * Corresponding Author: Mir Sharf Uddin Ahmed  sharfuddin.brri@gmail.com International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 7, No. 3, p. 25-37, 2015 International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 5, No. 1, p. 14-22, 2014
Application of Structural Equation Modeling – Generalized Structured Component Analysis (SEM-GESCA) (Case Study: Multiple Intelligences SMAN 1 Rumpin-Bogor)

Structural Equation Modeling (SEM) is a method that can be used to analyze the data that can not be measured directly. One of SEM methods is Generalized Structured Component Analysis (GSCA). The data used in the research is primary data taken from taken from SMAN 1 Rumpin Bogor. The purpose of this paper is to examine the influence of parent's parenting and learning method on learning motivation and multiple intelligences which are the most influential on the students. Multiple intelligences by Gardner in 1983 divided into eight intelligences ie linguistic, log-mathematical intelligence, spatial intelligence, kinesthetic intelligence, musical intelligence, interpersonal intelligence, intrapersonal intelligence and naturalist intelligence. The result of analysis showed that the parent's parenting gave significant influences to logmathematical intelligence, kinesthetic intelligence, musical intelligence, interpersonal intelligence, intrapersonal intelligence, naturalistic intelligence and learning motivation whereas learning method only gave significant influence to kinesthetic intelligence and musical intelligence. Keywords--Multiple Intelligences, SEM-GSCA
Bioconversion of sorghum stalk and rice straw into value added ruminant feed using Pleurotus pulmonarius

In these studies, attempts were made to investigate the bio-conversion of sorghum and rice straw into value-added ruminant feed using Pleurotus pulmonarius in solid state fermentation over a period of forty days. Samples were withdrawn every 10 days and analysed for chemical composition such as crude protein, cellulose, hemicelluloses, crude fats and neutral detergent fibre. The results obtained show a high positive correlation in the degradation of sorghum stalk and rice straw with an increase in the fermentation period. Sorghum stalk showed high digestibility compared to rice straw used for this study. The chemical composition results showed significant differences of (P<0.05), and high digestibility for the two substrates as the days of fermentation increases. Bioconversion of sorghum stalk and rice straw into value added ruminant feed using Pleurotus pulmonarius. Nature and Science 2012;10(4):10-16]. (ISSN: 1545-0740). http://www.sciencepub. net/nature. 2
Virtual Object into Real World by Using Augmented Reality

- Augmented Reality (AR) is a technology which combine virtual and real environment. AR is based on coupling between the virtual and the real object that is based on their geometrical relationship. This makes it possible to combine the virtual content with the right placement and 3D perspective with respect to the real. There are many fields in which AR is used such as education, military, commerce, business etc. In this system, we are going to develop augmented reality for education system. To develop this system, we are using ARToolKit, an open source non-commercial library that enables development of Augmented Reality applications. ARToolKit uses predetermined printed patterns to track computer graphics. But this system allow us to create new patterns to augment graphics on it. This system not only implements 3D models as animation input but also supplies a user interface that allows even non technical users to take a benefit from augmented reality. The AR system is developed as dialog-based Microsoft Foundation Class(MFC) application using C# language. This user interface accepts models and various parameters from the user by means of which the user can tailor the augmented environment according to his or her aim of usage. With these inputs, 3D objects are tracked on real world to manipulate animation based on real patterns and virtual objects.
The Effect of an Exhaustion Exercise in Male Athletes on Routine Clinical Chemistry Parameters

Introduction: Physical activity as a preanalytical variable can influence several biomarkers. The level of training, type, intensity and duration of exercise may influence a broad array of laboratory variables. The aim of this study was to describe the changes of some common clinical chemistry in response to an exhaustion exercise protocol. Materials and methods: Thirteen adult male athletes participated in the study. A blood sample was collected with the athletes fasting and before exercise (M1). Then the participants completed an eccentric/concentric contraction knee extension/flexion exercise protocol until exhaustion. At this moment, a second blood sample was collected (M2). Protocol was repeated 2 weeks later and the mean of both measurements was considered for comparisons. Routine clinical chemistry parameters were analyzed in automated routine equipment’s. Wilcoxon test were used to compare mean differences between two moments. Results: As expected, there was an increase in muscle markers between M1 and M2 moments with significant differences for creatine kinase (P=0.023), C-reactive protein (P=0.033) and myoglobin (P=0.002). Also, were observed significant differences in GGT, Total-, HDL- and LDL-cholesterol (P=0.006, 0.015, 0.009 and 0.033, respectively) and with an acceptable biological variation bias. Beside the significant differences in both Moments, total protein (P=0.003), glucose (P=0.012), albumin (P=0.003), uric acid (P=0.001), magnesium (P=0.039) and phosphorus (P=0.001) exceed acceptable bias range. Conclusion: Our results show that even after an intense exhaustion physical exercise only a small group of parameters showed changes that exceed the acceptable biological variation bias. In conclusion, we expect that this study contributes to a better understating of the effects of an intense exhaustion physical exercise on common analytical biomarkers.
Taste Masking Approaches for Unpleasant Taste Drugs

Copyright: © 2019 AlAteib NA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Vium mor li, poracidisus es condam Introduction Pediatrics and elderly patients specifically; are difficult to control while administering the unpleasant taste of specific drug, leading to administer fewer doses, which cause less efficiency. Taste masking is the proper way to improve the quality of the treatment [1]. The taste masking defined as a perceived decrease of an unpleasant taste of active pharmaceutical ingredients [2]. There are several applications and methodologies of taste masking, and each method has specific advantages. The easiest method involves the use of flavor enhancers and in case no results found with this method, then complex methodologies comes on the board. The techniques found to be effective on taste masking are; inclusion complex formation with cyclodextrin, ion exchange resins, granulation, liposome, microencapsulation, multiple emulsions, prodrug approach, polymer coating, solubility limiting methods, and the use of anesthetic agents [3]. Then evaluation of the taste masking is essential, such as evaluation of liquid and solid dosage forms, evaluation of microspheres, recent innovations, recent trends (AdvaTab ODT Technology), recent trends (Microcaps ODT Technology), liquitard ODT Technology, for multiplex and formulcoat, and linecaps. Moreover, a recent innovation tastes masking by using electronic tongue.
A Taxonomy of Game Theory Approaches for Intrusion Detection in MANETs

: MANETs are self configuring networks that are formed by a set of wireless mobile nodes and have neither fixed network infrastructure nor administrative support. Since transmission range of wireless network interfaces is limited, forwarding hosts may be needed each node in a wireless ad hoc network functions as both a host and a router, and the control of the network is distributed among the nodes. Due to their communication type and resources constraint, MANETs are vulnerable to diverse types of attacks and intrusions. Because of these, security is a critical issue. Network security is usually provided in the three phases: intrusion prevention, intrusion detection and intrusion tolerance phase. However, the network security problem is far from completely solved. Researchers have been exploring the applicability of game theoretic approaches to address the network security issues. This paper surveys the existing game theoretic solutions which are designed to enhance network security in the intrusion detection phase .
A Robust Data Preserving Technique by K-Anonymity and hiding Association Rules

— With the development of data mining technology, an increasing number of data can be mined out to reveal some potential information about user. While this will lead to a severe problem, which is users’ privacy may be violated easily. The goal of privacy preserving is to mine the potential valuable knowledge without leakage of sensitive records, in other words, use non-sensitive data to infer sensitive data. This work analyze and optimize the technologies of privacy preserving data mining. By the implementation of K-Anonymity and Appear an efficient algorithm has develop which has the property of to extract relevant knowledge from large amount of data and at the same time protect the sensitive information from the data miners. A result shows that without affecting the accuracy of the dataset it successfully preserved sensitive data.
Research on Image Reduction of CT System

In order to obtain internal information of the medium than cannot be observed directly, we need to receive X-ray intensity data by CT system. However, the effect of data recovery is not ideal. In this paper, linear interpolation method is employed to eliminate metal artifact. After transforming the received information of template by Radon inversion, we get the geometry of unknown medium; the rotated position of observation points can be obtained by the point coordinate transformation model of the rectangular coordinate system, then the absorption rate of medium in 10 positions can be determined.
An Efficient Associated Correlated Bit Vector Matrix for Mining Behavioral Patterns from Wireless Sensor Network

: Now a day’s wireless sensor network interesting research area for discovering behavioral patterns WSNs can be used for predicting the source of future events. By knowing the source of future event, we can detect the faulty nodes easily from the network. Behavioral patterns also can identify a set of temporally correlated sensors. This knowledge can be helpful to overcome the undesirable effects (e.g., missed reading) of the unreliable wireless communications. It may be also useful in resource management process by deciding which nodes can be switched safely to a sleep mode without affecting the coverage of the network. Association rule mining is the one of the most useful technique for finding behavioral patterns from wireless sensor network. Data mining techniques have recent years received a great deal of attention to extract interesting behavioral patterns from sensors data stream. One of the techniques for data mining is tree structure for mining behavioral patterns from wireless sensor network. By implementing the tree structure will face the problem of time taking for finding frequent patterns. By overcome that problem we are implementing associated correlated bit vector matrix for finding behavioral patterns of nodes in a wireless sensor network. By implementing this concept we can overcome time complexity and also get most correlated patterns of wireless sensor networks.
THE CLOUD-CHANGING THE INDIAN HEALTHCARE SYSTEM

— Cloud computing is the fastest growing field in Information Technology sector. Cost reduction, flexibility, scalable and sustainable, increased efficiency, reliability, usage defined payment and enhanced mobility are some of the features of cloud computing. The robustness and security of Cloud is increasing such that it could now be used in healthcare sector very easily. As in healthcare sector data privacy and security are of high importance. Right information at right time saves lives. But with the new opportunities come few risk too like Data security risks, the risk of loss of data and risk of system unavailability. We see that the information system of hospitals in India not very well managed, they have somewhat rare information. Cloud helps its client with the latest technologies but at a very low price. Client has to pay only for what he uses with minimum resource. The cloud is not about technology, it is the abstraction of technology for delivering pure services. This work proposes a solution based on cloud computing implemented for hospital systems having as a result a better management, high speed for the medical process, and increased quality of the medical services. In this paper we have analyzed the implementation of cloud computing in Indian healthcare sector. Cloud computing technology is still new but promises a revolution in the entire connected areas
Data Mining Approach for Estimation of Earthquake Hazard in Shillong Region

North India is one of the earthquake active zone in Indian subcontinent. In this area, a series of medium to large magnitude earthquake can be seen. The expected earthquake of intensity up to IX can be observed. Therefore, for reducing the loss of life and property, it is important to analyze the earthquake risk in the considered region, properly. In this paper data mining approach have been applied . This paper contains the calculation of the largest annual earthquake magnitude, its probability of occurrence and the return period of largest earthquake for the earthquake prone Shillong region of North East India using Gumbel’s type I distribution which is based on the extreme value theory has been estimated. Most probable annual maxima have also been calculated for the considered region. The line of expected extreme which is based on 46 years (1963-2008) of seismicity data of yearly extreme values of earthquakes for the region have been plotted. The medium to large size earthquakes which is expected to occur in this region has been predicted. Keywords— Gumble’s Theory, Line of expected stream MM intensity.
Haplogroup J-Z640-Genetic Insight into the Levantine Bronze Age

This article aims at researching the evolution of J-Z640 using an interdisciplinary approach in order to clarify the leading historical and anthropological events that shaped this particular branch of the human Y chromosome. We compiled a STR (short tandem repeat) and SNP (single nucleotide polymorphism) dataset of 145 known or predicted J-Z640 samples among the customers of Family Tree DNA and Full Genomes Corporation, as well as publicly available samples. Amongst these, we analyzed the results of 41 samples that had undergone Next-Generation Sequencing (NGS) and 32 samples that had undergone SNP testing using Sanger Sequencing. From this data, we constructed a J-Z640 phylogenetic tree that was dated using the method. Our data revealed that Haplogroup J-Z640 is a Y chromosome lineage found most notably, in several minority groups within the Near East such as the Samaritans, Druze, Armenians and Jews. J-Z640 originated during the Bronze Age, most likely in the Levant. During the Bronze Age the haplogroup rapidly expanded with multiple ancient branches surviving to the present, evidencing population growth. Further population expansion, and contraction, was also observed in later periods. Based on its geographic dispersal and age of the haplogroup and its subclades, the founder population most likely belonged to Canaanites found in the Levant. Following the collapse of the late Bronze age system, from the Iron Age onwards there followed a period of “differentiation by culture”, with many of the ancient branches surviving to the present separated along ethno-religious lines.
Formulation and Evaluation of Effervescent Floating Tablet of Famotidine

Famotidine has been the most widely used drug for the treatment of peptic ulcer for many decades. The present investigation concerns the development and evaluation of floating tablets of famotidine which, after oral administration, are designed to prolong the gastric residence time, increase drug bioavailability and target the gastric ulcer. A floating drug delivery system (FDDS) was developed using gas-forming agents, like sodium bicarbonate, citric acid and hydrocolloids, like hydroxypropyl methylcellulose (HPMC) and carbopol 934P. The prepared tablets were evaluated in terms of their precompression parameters, physical characteristics, in vitro release, buoyancy, buoyancy lag-time and swelling index. The formulations were optimized for the different viscosity grades of HPMC, carbopol 934P and its concentrations and combinations. The results of the in vitro release studies showed that the optimized formulation (F12) could sustain drug release (98%) for 24 h and remain buoyant for 24 h. The optimized formulation was subjected to various kinetic release investigations and it was found that the mechanism of drug release was predominantly diffusion with a minor contribution from polymeric relaxation. Optimized formulation (F12) showed no significant change in physical appearance, drug content, total buoyancy time or in vitro dissolution study after storage at 45 °C/75% RH for three months. Finally the tablet formulations found to be economical and may overcome the draw backs associated with the drug during its absorption.
Technical Advances in Fall Detection System – A Review

Fall of patients and aged people is a ser ious issue. These kinds of falls may become fatal i f unnoticed in time. The concept is to have a fall de tection system which sends alarm to the concerned p ople or to the doctor, at the time of eventuality and he lps to attend the patient in time. To minimize the fall and its related injuries continuous surveillance of patient s and those who are prone to fall is necessary. Thu s the requirement of a fall detector is increasing. In th is paper we have reviewed history of fall detection system, different algorithms used to detect fall, different sensors used such as wearable sensor, combined sen sors, ambient sensors and the application of each sensors is tudied in detail. Image processing methods to detect fall are also studied. Key Terms: Fall detection system; Medical alarm; PERS
Influence of High Performance Working System on Employees’ Attitudes and Behaviour

The article tries to find out the influence of dimensions of high performance working system on employees’ attitude and behaviour towards Salem steel plant. One objective of this study is reached through proper methodology. Sample size is 450 in all obtained through simple random sampling technique in Salem steel plant. Path analysis was used for influence of high performance working system on Employees; behavior with respect to employees’ attitude. The path analysis found that there is an influence of high performance working system on employees’ attitude and behavior. The path analysis also highlighted that there is an influence of employees’ attitude on employees’ behavior towards Salem steel plant. It is concluded that managers that try to increase the proactively of the firm’s workforce is to execute a set of incorporated high performance HR practices and to invest in activities that promote the attitude and behaviour of the employees. Keywords-Employees’ attitude and behaviour; High performance working system; Salem steel plant; Simple Random sampling and Path Analysis