Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving breathlessness and fatigue in patient with COPD

Dyspnea (shortness of breathing) and fatigue are the two most common symptoms experienced by patients with COPD. Aims: The aim of this study was to assess the effect of breathlessness and fatigue management guidelines on breathlessness and fatigue among the patients suffering from COPD. Subjects and Methods: A purposeful sample of 50 adult patients was selected from the respiratory disease clinic at Ain Shams University Hospital. Tools for data collection: Patient's assessment and clinical data sheet, patient's breathlessness and fatigue knowledge questionnaire, Patients' practices observational checklists, Modified Borg Scale (MBS), Medical Research Council (MRC) breathlessness scale, The Multidimensional Fatigue Symptom Inventory Short Form (MFSI-SF) and Hospital anxiety and depression scale (HADS) were used to collect data. Results: All of the studied patients had unsatisfactory knowledge and the minority of them had unsatisfactory practices regarding dyspnea and fatigue management before educational guidelines intervention, which improved after guideline intervention with a highly significant differences. Also, the breathlessness, fatigue and anxiety improved in patients with COPD who received breathlessness and fatigue management guidelines. Conclusions: Implementation of breathlessness and fatigue management guidelines had improved patients' level of knowledge, practices, dyspnea, dimensions of fatigue and anxiety level. Recommendations: Conducting comprehensive health education programs for patients with COPD in outpatients' clinics with simplified printed guidelines through leaflets or brochures explaining how to prevent and control breathlessness and fatigue and Further evaluation of the effect of strategies to prevent and ameliorate breathlessness and fatigue intensity and distress responses in larger sample of COPD patients in order to generalize the results. [Manal Salah, Asmaa Hamdi, Hanan Shehata. Improving breathlessness and fatigue in patient with COPD. J Am Sci 2013;9(12):470-482]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 64
SEMANTIC SIMILARITY BETWEEN SENTENCES

- The task of measuring sentence similarity is defined as determining how similar the meanings of two sentences are. Computing sentence similarity is not a trivial task, due to the variability of natural language - expressions. Measuring semantic similarity of sentences is closely related to semantic similarity between words. It makes a relationship between a word and the sentence through their meanings. The intention is to enhance the concepts of semantics over the syntactic measures that are able to categorize the pair of sentences effectively. Semantic similarity plays a vital role in Natural language processing, Informational Retrieval, Text Mining, Q & A systems, text-related research and application area. Traditional similarity measures are based on the syntactic features and other path based measures. In this project, we evaluated and tested three different semantic similarity approaches like cosine similarity, path based approach (wu – palmer and shortest path based), and feature based approach. Our proposed approaches exploits preprocessing of pair of sentences which identifies the bag of words and then applying the similarity measures like cosine similarity, path based similarity measures. In our approach the main contributions are comparison of existing similarity measures and feature based measure based on Wordnet. In feature based approach we perform the tagging and lemmatization and generates the similarity score based on the nouns and verbs. We evaluate our project output by comparing the existing measures based on different thresholds and comparison between three approaches. Finally we conclude that feature based measure generates better semantic score.
Modeling and Simulation of Variable Frequency Speed Regulation Vector control System of Induction Motor Based on Matlab

- Vector control Technology is regard as major control method on high performance induction motor speed control system. According to the basic principles of induction motor vector control, this paper constructs simulation model of rotor magnetic field oriented vector control system based on the MATLAB Software. The theory of speed and flux closed-loop principle is used to control Induction Motor. According to PI regulating, PWM produces a feedback control signal, which is send to the pulse generator and Variable frequency control is achieved by inverter. By using direct vector control system model with rotor speed and flux closed-loop. The simulation results that the model is correct, reasonable and effective. Results show that it has good dynamic and static performance, and it realizes the decoupling control system. It can help us better design and debug the motor control system.
A Review on: Routing Protocol for Vehicular Ad-hoc Networks (VANETs)

— To maintain the topology information of the entire network OLSR exchange messages from time to time for every presence of mobility and failures. HELLO, Topology Control (TC) and multiple interface declaration (MID) messages are main three types of messages used for performing the core functionality. The objective of this review is to Study the scalability issue in optimized link state routing (OLSR) protocol. In this paper, study of scalability issues in OLSR in Mobile Ad hoc Network (MANET), mobility, traffic and node density are main network conditions that significantly affect performance of routing protocol.
Counting of RBC’s and WBC’s Using Image Processing Technique

: The measure of WBC and RBC Cells are very important for the doctor to diagnose various diseases such as anaemia, leukaemia etc. So, precise counting of blood cells plays very important role. The old conventional method used in hospital laboratories involves manual counting of blood cells using a device called Haemocytometer. But this process is extremely monotonous, time consuming
Design and Simulation of Patch array antenna for Indian Regional Navigation Satellite System [IRNSS]

The modern mobile communication systems requires high gain, large bandwidth and minimal size antenna’s that are capable of providing better performance over a wide range of frequency spectrum.This paper presents the design of microstrip rectangular patch antenna with center frequency at 1.176GHz for IRNSS application. The array of four by one (1x4) patch array microstrip rectangular antenna with microstrip line feeding based on quarter wave impedance matching technique was designed and simulated using Advance design system(ADS) tool. The performance of the designed antenna was than compared with the single patch rectangle antenna in term of return loss, Voltage Standing Wave Ratio (VSWR), bandwidth, directivity, radiation pattern and gain. The array antenna on the substrate type FR-4 with dielectric constant of 4.6 and thickness of 1.6mm respectively.
Breast Cancer Detection Using Opposition Based Support Vector Machine with aid of MFCM

: This paper presents a tumor detection algorithm from mammogram. The proposed system focuses on the solution of two problems. One is how to detect tumors as suspicious regions with a very weak contrast to their background and another is how to extract features which categorize tumors. The tumor detection method follows the scheme of (a) mammogram enhancement. (b) The segmentation of the tumor area. (c) The extraction of features from the segmented tumor area. (d) The use of SVM classifier with aid of MFCM. The enhancement can be defined as conversion of the image quality to a better and more understandable level. The mammogram enhancement procedure includes filtering, top hat operation, DWT. Then the contrast stretching is used to increase the contrast of the image. The segmentation of mammogram images has been playing an important role to improve the detection and diagnosis of breast cancer. The most common segmentation method used is thresholding. The features are extracted from the segmented breast area. Next stage include, which classifies the regions using the SVM classifier. The method was tested on 75 mammographic images, from the mini -MIAS database. The methodology achieved a sensitivity of 88.75%.
STUDY OF INTERNET TRAFFIC CLASSIFICATION USING MACHINE LEARNING ALGORITHMS

- To identify the traffic based on the application in a large network, the major part is traffic classification and it is useful to provide quality of service, lawful interception and intrusion detection. A number of limitations have been exhibited by older methods such as port-based and payload based classification. Hence Machine learning techniques are used by the research community to analyse the flow statistics for detecting network applications. The statistical based approach is used here for traffic identification and classification process. The statistical features are flow size, flow duration, TCP port, packet inter-arrival times statistics, total number of packets, mean packet length, protocol, number of bytes transferred. There are two types of machine learning algorithms such as supervised and unsupervised algorithms. These two machine learning algorithms are analysed with datasets respectively based on the set of algorithms. By evaluating the results of supervised and unsupervised algorithms respectively, best algorithm from each technique is combined together to yield better results.
PAPR REDUCTION BY USING DUMMY SEQUENCE INSERTION

Orthogonal Frequency Division Multiplexing (OFDM) is the best decision to accomplish high information rate transmission in remote condition. OFDM framework indicates numerous positive properties, for example, high phantom effectiveness, strength to channel blurring and insusceptibility to drive impedance. The fundamental weakness of OFDM is the high time-area crest to-normal power proportion (PAPR) that cutoff point’s transmitter control effectiveness. Something else, OFDM flag might be misshaped by the nonlinear conduct of the powerful intensifier (HPA) at the transmitter. The transmitter can lessen PAPR by misshaping the information bearers or by adding energy to the free transporters. This paper investigates the capacity of Dummy Sequence Insertion (DSI) calculation to diminish PAPR in remote neighborhood (WLAN)/OFDM framework. The joining of DSI on this framework is performed by estimating the PAPR at the yield of the IFFT (Inverse Fast Fourier Transform) in the wake of including a 6-bit succession at the spurious sub-channels information sources and settle on a
Communication efficient protocol for mobile ad hoc networks by using cross layer design

— Cross layer design is an important approach used in Manets for increasing the performance of the network. We focus on some parameters such as delay, PDR, throughput, energy. To reduce energy consumption in MANETs because in today’s era energy is an important parameter for mobile ad-hoc networks where devices are expected to work for longer periods of time without the need for charging their batteries. It is a collection of nodes that is connected through a wireless medium forming changing topologies. Continuous change in position of nodes in the network degrades the battery charge of the nodes therefore it is necessary to save the battery power of those nodes so that the network lifetime can be long lasting. It is very much important to maximize the performance of the network and eliminates error in the network. In terms of reducing traffic load, congestion, link breakage and consumption of energy. In data transmission from source to destination if we think the less energy is being used so for that we avoid traffic load, congestion and link breakage and how we avoid this problem by using our proposed protocol uses CLD approach from that we observe consumption of energy. In this paper design, a protocol for network layer and Transport layer that reduces conservation of energy, lifetime of network and congestion control. In this layer, we introduce energy efficient protocol (DERDM) in that layer for having less energy consumption in data transmission and better network lifetime. This protocol is better than existing protocol i.e. AODV protocol. The simulation result shows the proposed cross layer protocol is having a better packet delivery ratio, throughput and less delay, energy than existing protocol .
A Survey on Search Systems for Extracting And Searching in Scholarly Big Data

: Search systems that is designed to search for information. CiteSeer was a public search engine and digital library for scientific and academic papers, primarily in the fields of computer and information science, that has been replaced by CiteSeer x . CiteSeer x provides free access to over 4 million full-text academic documents and rarely seen functionalities. There is no platform available for scholars to automatically search, extract, analyse and discover algorithms, tables, figures, images, collaborators, acknowledgments, metadata, pseudo codes, semantic hierarchical sections and mathematical expressions in scholarly big data. Hence Special purpose search systems are used to extract and search from articles. The limitations of existing search engines make the search problem more challenging. In this paper a survey of search systems has been presented.
Rotman Lens Fed Linear Phased Array Antenna: A Comprehensive Review

Various modern radar, radiometers, electronic warfare and communication systems move towards the implementation of highly directive and active space filtering radio frequency (RF) front ends. Networks with the capability to form multiple radiation beams within short span of time are therefore becoming essential. Addressing the different space sectors at the same time leads to a higher system capacity by re-using the time, code and frequency. Over the years two passive beamforming networks prevailed: the Rotman lens and the Butler matrix. Rotman lens is usually preferred over the Butler matrix. Rotman type lens is useful tool for multiple beam forming, because of its frequency independent characteristics. They are the true time delay (TTD) devices. The outputs of the lens generate different phased signals and fed to linear horn arrays to form the highly directive beams in space. Thus Rotman lens fed linear phased array antennas are popular in aerospace and defense sectors. This paper reviews the concepts of Rotman lens and linear phased arrays and the work carried out so far, their capabilities and the current & future trends in the communication field Key words; Radio Frequency, True Time Delay, Beam
Adaptive Beam Forming Algorithms for MIMO Antenna

MIMO antenna is a combination of multiple antenna elements. It has a signal processing capability to optimize its radiation reception pattern which automatically chan ge in response to the signal environment. This paper prov ides comprehensive review on various evolutionary algorit hms which are used for adaptation. The weights of the smart an tenna array are adapted to maximize the output in desired direc tion and minimize the signals in undesired direction. Adapti ve beam forming algorithm is used for track corresponding u sers automatically. This paper discuss about Non-blind beam forming algorithm i.e. Least Mean Square, and Blind beam fo rming algorithm i.e. Constant Modulus Algorithm and Sample Matrix Inversion. The algorithms are simulated for MIMO en vironment by using MATLAB. Beam forming can be used for either ra dio or sound waves. It has found numerous applications in r adar, sonar, seismology, wireless communication, radio astronomy, speech and biomedicine. Keywords— Smart antenna, Beam forming, Least Mean Squa re, Constant Modulus Algorithm , Sample Matrix Inversion.
Modified Order Crossover (OX) Operator

:- In this work Traveling salesperson problem is taken as Domain. TSP has long been known to be NP-complete and is a standard example of such problems. Genetic Algorithm (GA) is an approximate algorithm that doesn’t always aim to find the shortest tour but to find a reasonably short tour quickly, which is a search procedure inspired by the mechanisms of biological evolution. In genetic algorithms, crossovers are used as a main search operator for TSP. Briefly speaking: the role of crossovers is to generate offspring that are better tours by preserving partial tours from the parents. There were a lot attempts to discover an appropriate crossover operator. This paper presents the strategy which used to find the nearly optimized solution to these type of problems. It is the order crossover operator (OX) which was proposed by Davis, which constructs an offspring by choosing a subsequence of one parent and preserving the relative order of cities of the other parent.
Designing of FLC for Controlling of Liquid Level In Couple Tank System

Abstract The industrial application of Coupled Tank System (CTS) are widely used especially in chemical process industry. The overall process require liquid to be pump, stored in the tank and pumped again to a different tank for certain desired level. However, the level of liquid in tank need to be controlled and flow between two tanks must be regulated. This paper presents the fuzzy controller for adjustment of liquid level in the tank and presents the theoretical concepts of triangular fuzzy statistics. The dynamic of nonlinear processes can be easily controlled by using Fuzzy Logic Controller. In this paper we investigated the usage of Fuzzy Logic Controller (FLC) in controlling the liquid level in the second tank of Coupled-Tanks system through variable manipulation of liquid pump in the first tank. System modeling involves developing a mathematical model by applying the fundamental physical laws of science and engineering. This simulation studies are then conducted based on the developed model using Matlab Simulink. The behavior of the system is studied in terms of time response (e.g., steady state error, rise-time, settling time) and compare FLC adverse PID controller. It found that the performance of the fuzzy logic based controller is better than the classical PID controller.
Using Locality Preserving Projections in Face Recognition

Human recognition has become an essential part of variety of applications ranging from security, surveillance, control etc. It has become an important aspect when it comes to issues like authentication and identification. Human face can play an important role in identification. By developing better dimensionality reduction and feature extraction techniques, a large number of face recognition systems have come into existence. In this paper we discuss and elaborate a recently proposed method based on Locality Preserving Projection (LPP) and Laplacianfaces. In LPP, the face images are mapped into a face subspace for analysis. An unsupervised linear dimensionality reduction method, LPP, preserves the local structure of face image space. Other methods like Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) work only on the Euclidean structure of face space. The Laplacianfaces are the optimal linear approximations to the eigen functions of the Laplace Beltrami operator on the face manifold. Unwanted variation from facial expression, lighting etc. may be eliminated or reduced using this method. This paper is focused on systematic analysis of LPP. We have also compared Laplacianface approach with some previously developed methods like EigenFace and Fisherface on Yale dataset. Experimental results prove significant improvement in face recognition performance when using Laplacianfaces.
Convergence of Big Data and Cloud

: - Big Data that is data created in enormous amounts from various heterogeneous sources that are difficult to process and handle by means of general methods of storage management. Majority of organizations are moving to the cloud because of proven benefits like cost cutting, better flexibility and more importantly data security. In this paper it is proposed the way how Cloud technologies are gaining momentum every day in the largest data centers and the smallest businesses, offering services that encompass everything from the infrastructure down to the software level. The convergence of Big Data with Cloud Computing will have an edge over the traditional computing methods which is far more accessible at a cheaper rate. Converging of the Big Data & Cloud Computing is a perfect fit, but delivering on the potential of infinitely scalable analytics is much easier said than done.
Human Activity Classification using Scale Invariant Feature Transform (SIFT) of Continuous Wave Radar Spectrogram

: Introduced the use of scale invariant feature transform (SIFT) for human detection and activity classification based on Doppler radar. Previous schemes for these problems remained in the deep conventional neural network. Whereas this scheme attained high accuracy, the requirement for domain knowledge of each problem limits the scalability of the proposed schemes. Here, present the SIFT approach. Apply the SIFT algorithm. SIFT is an involved algorithm. So break up the entire algorithm into multiple parts. SIFT can achieve accuracy results of 97.6%for human detection and 90.9% for human activity classification.
DOCKING STUDIES USING MEF 2A AND MYELOPEROXIDASE AS TARGET PROTEINS FOR MYOCARDIAL INFARCTION

Cardiovascular disease is a class of diseases that involve the heart or blood vessels. They remain the biggest cause of deaths worldwide, though over the last two decades, cardiovascular mortality rates have declined in many high-income countries, it is still a major concern in today’s society. Cardiovascular diseases are the number 1 cause of death globally. About 17.5 million people died from CVDs in 2012, representing 31% of all global deaths. Of these deaths, an estimated 7.4 million were due to Myocardial Infarction and 6.7 million were due to stroke. Myocardial infarction occurs due to the interruption of blood supply to a part of the heart, causing heart cells to die. This is most commonly due to occlusion of a coronary artery by a blood clot which results in ischemia and emanates oxygen shortage, finally leading to the death of cardiac muscle tissue (Myocardium). There are various drugs that can prevent Myocardial Infarction like Warfarin, Aspirin, Clopidogrel etc. By using bioinformatics as a basic tool we can understand how effective these drugs are in suppressing and counter act the protein targets like responsible for Myocardial Infarction. Docking studies are performed with respect to target and various drugs. These results help us in understanding the effectiveness of each drug on these protein targets.