bluuebunny/crossref_metadata_2025 huggingface dataset:
EARLY MORPHOLOGICAL AWARENESS AND ITS EFFECT ON BUILDING LEXICAL COMPETENCE AMONG LEARNERS: A NEUROLINGUISTIC STUDY
Authors:   Mohammed V University, ABAIL Abdelatif
Published: January 2021

Given its mechanisms that can help the learner develop the strategy of analyzing the morphological structure of words, Morphological Awareness plays a vital role in the process of acquiring lexical items and organizing lexical memory. Furthermore, it not only renders the representation of linguistic units less confusing but also enables us to apprehend how it functions and how it is organized within the lexicon as well. Thus, this will eventually triggers the mental mechanism responsible for building the linguistic ability of learners. That is to say, cognizing about how the mental lexicon works can inevitably help us answer various questions regarding the organizational engineering of the linguistic levels of the word in the mind as well as the mechanisms involved in the process of comprehension and production. Thus, it can be said that morphological awareness plays a significant role in building lexical competence, particularly that is related to the morphological characteristics which characterize the Arabic language through the perception of its modes of operation and its organization in the mental lexicon.
PARENTAL CONTROL AND FOLLOW-UP ON ELECTRONIC GAMES AND THE EFFECT OF THOSE GAMES ON THE EMOTIONAL AND AGGRESSIVE BEHAVIOR OF KINDERGARTEN CHILDREN FROM THE POINT OF VIEW OF PARENTS IN JERUSALEM
Authors:   Mohammed V University, ASMAR Firas Tawfiq  Mohammad
Published: January 2021

The study aimed to reveal the effect of supervision and follow-up by parents on electronic games that the child plays, and the effect of those games on the emotional side and aggressive behavior from the viewpoint of parents in occupied Jerusalem, and to achieve the objectives of the study, a questionnaire was prepared by the researcher consisting of three axes: Parents' monitoring and follow-up aspect, the emotional side, and the hostile behavior aspect. The questionnaire was distributed to a survey sample consisting of (300) parents of kindergarten children’s parents in Jerusalem, during the middle of the first semester of the 2019/2020 academic year. The study showed the following results: There are no statistically significant differences for the effect of parental control and follow-up on electronic games that kindergarten children play, and the results also showed that there are no statistically significant differences of the effect of electronic games on the emotional side of kindergarten children from the parents' point of view, as well as the results showed There are statistically significant differences in the effect of electronic games on the aggressive behavior of kindergarten children from the parents' point of view in a negative and large degree.
HUMAN ROBOTICS INTERACTION WITH DATA MINING TECHNIQUES
Authors: CHUCHRA RIMMY
Published: January 2021

Human-robotics interactions generally consist of transfer of information from the humans to the robotics by using various algorithms, scientific tools and techniques. In this research paper human queries and tasks can be handled by human robotics and for the communication with the server-systems robotics acts as an interface. Human queries can be easily recognized with the help of data mining techniques. These Queries can be handled into three different parts. (a)Input device-used to collect the data (b) Human Robotics-act as an interface (c) Server System-used to process data. In the absence of interface interactions between the human and server system will not be possible. Here we are uses three types of data mining techniques like Classification, regression analysis and time series analysis. Each technique uses a separate type of data to perform mining task. The special focus of this paper is human and robotics follows master-slave relationship and ultimately humans successfully collaborate to achieve a joint action.
AVANT-GARDE E-LEARNING
Authors: MERCHANT TAHER , MORE SWAPNIL , RATHI OMKAR , CHAUHAN MEHUL
Published: January 2021

E-learning systems have dominated internet based education for past two decades. However, traditional systems fail to keep pace with advances in internet technologies and social interactions online. To support technological diversities, a web based application combining social network and visualization can be developed to enable a better learning environment. This would help tutors and students to improve their participation in online conversation. The overall learning experience can be facilitated with features like simultaneous recording of live conference which would enable a user to drag back on time scale, providing a language based editor on the application and tag based search.
IMPERTINENT TRILATERATION: SECURE LOCALIZATION OF WIRELESS SENSOR NETWORK USING GREEDY TECHNIQUE
Authors: NAYANA NAYANA , NIRMALA M.B. , MANJUNATH A.S
Published: January 2021

Wireless sensor network localization is an important area that attracts significant research interest. Current localization algorithms mainly focus to localize as many nodes as possible for a given static set of anchor nodes and distance measurement. In this paper, we discuss a new technique that aims to localize all the sensor nodes in the network using trilateration with greedy technique, and a security protocol is used for providing confidentiality and authentication between anchor nodes and sensor nodes.
Semantic Ids Using Wireless Sensor Network
Authors: Ganesh K. Sri , Vaideh V. , Sekar M. Raja
Published: January 2021

Emerging technologies have metamorphosed the nature of surveillance and monitoring application, but the sensory data collected using various gadgets still remain changeable and poorly synchronized. An event detected by WSN formulates patterns. The sink receives the information about several events happening in the coverage area. Sink has to correlate these streaming data (events) in spatial domain (several sensors) and time domain. This paper proposes a scheme to formulate patterns based on sensing elements and a methodology for detecting an intruder using rule-based semantics. This scheme can be integrated with the surveillance systems to detect the entry of an unauthorized person into a secured area. Real Time implementations prove that events, patterns, rules can efficiently detect an intruder with the help of a wired network with appropriate database. The semantic rules are developed using ANTLR tool.
Seismic Analysis on Cylindrical Tanks Subjected to Horizontal Acceleration
Authors: James Dinu , Thanigaiarasu G.
Published: January 2021

The dynamic behaviour of inviscid fluid contained in horizontally accelerated cylindrical tanks is considered. Mechanical equations describing the fluid motion are developed and simplified by use of small amplitude wave approximations, enabling expressions for the different modes of vibrations, sloshing frequencies and the free surface displacements to be obtained. The expression for free surface displacement is formulated in such a way that the time histories of the free surface displacement can be calculated for tanks subjected to real earthquake accelerograms. Comparisons of predicted and finite element analysis of different modes of vibration of the cylindrical tank, sloshing frequencies and free surface displacements of a model cylindrical water tank subjected to sinusoidal acceleration was found to be in close agreement.
Vibration analysis of bearing for fault detection using time domain features and neural network
Authors: Yadav Manish , Wadhwani Dr. Sulochana
Published: January 2021

Ball bearings are among the most important and frequently encountered components in the vast majority of rotating machines, their carrying capacity and reliability being prominent for the overall machine performance. Fault detection and diagnosis in the early stages of damage is necessary to prevent their malfunctioning and failure during operation. This paper presents fault detection of ball bearing using time domain features of vibration signals. The vibration signals are recorded at bearing housing of 5hp squirrel cage induction motor. These extracted features are used to train and test the neural network for four bearing conditions namely: Healthy, defective Outer race, defective Inner race and defective ball fault condition. The experimental observation shows that the proposed method is able to detect the faulty condition with high accuracy.
Analysis of Blood Flow through Viscoelastic Blood Vessel
Authors: Unnikrishnan M. , Menon Ajith. C. , D. Deepak M. , Joseph John
Published: January 2021

Analysis of viscoelastic material can be done through ansys multi physics software. For modelling viscoelastic materials, prony series coefficients had been generated from the stress relaxation data (shear modulus vs. time) using prony series curve fitting. Also, Ansys was used to study the fluid interaction on viscoelastic materials. First blood vessel was modelled using geometric modeller and it is exported to ansys and using prony series curve fitting, viscoelastic properties are given to the blood vessel. Blood flow was modelled in CFX. Two way coupling was established between Ansys and CFX. And the boundary conditions such as pressure pulse and mass flow rate was given to the blood flow. Then the model was solved in CFX. And the variation of pressure, von mises stress and total mesh displacement along the length of blood vessel is plotted.
FORMULATION OF MATHEMATICAL MODEL FOR PRODUCTION TURNOVER OF BIODIESEL PLANT BASED ON DIMENSIONAL ANALYSIS AND MULTIPLE REGRESSION
Authors: CHATPALLIWAR ASHWIN S. , DESHPANDE DR. VISHWAS S. , MODAK DR. JAYANT P. , THAKUR DR. NILESHSINGH V.
Published: January 2021

This paper presents the approach for the mathematical modeling of production turnover for the set up of new Biodiesel plant based on the dimensional analysis and multiple regression. Presented production turnover mathematical model is derived based on the generated design data. Design data is generated from the estimated design data. Estimation of design data is carried out based on the assumed plant layouts of different capacities. Dimensional analysis is used to make the independent and dependent variables dimensionless and to get dimensionless equation. Later, multiple regression analysis is applied to this dimensionless equation to obtain the index values based on the least square method. The mathematical model of production turnover is formulated using these obtained index values. Finally, the formulated model is evaluated on the basis of correlation and root mean square error between the computed values by model and the estimated values.
TRANSMITTED POWER AND ENERGY FLOW BEHAVIOR OF DEGRADING WET FRICTION CLUTCHES
Authors: IQBAL SHOAIB , JANSSENS THIERRY , DESMET WIM , BENDER FARID AL-
Published: January 2021

Experiments and simulations performed in the framework of accelerated-life tests of wet friction clutches reveal that with the progression of degradation of clutches, the transmitted power decreases together with a change in the energy flow behavior, mainly in the pre-lockup phase. In addition, the engagement duration increases and the relative velocity fluctuation in post-lockup phase changes. These degradation effects are due to the reduction in friction torque and the change in the relative velocity profile caused by the changing friction characteristics of the clutch friction material with degradation. Simulations are performed in a bond graph methodology incorporating an adapted form of the Generalized Maxwell Slip (GMS) friction model, which calculates the friction torque taking into account the dynamic variation in relative velocity and the normal load.
INFLUENCE OF PROCESS PARAMETERS ON MECHANICAL PROPERTIES OF FRICTION STIR WELDED AA 6061-T6 ALLOY AND MG AZ31B ALLOY
Authors: UGENDER S. , KUMAR A. , REDDY A. SOMI , DEVARAJU A.
Published: January 2021

The present study investigates the influence of tool pin profiles on microstructure and mechanical properties of friction stir welded AA 6061-T6 Alloy was studied. An attempt is made here to review the fundamental principle of this process its tensile strength and examination of its metallurgical consequences. An improved milling machine is fabricated for performing friction stir welding and its effectiveness in joining Al 6061-T6 Alloy plates is demonstrated in the current work. The FSW Process has proved to be very efficient and has immense potential for future application. Present investigation is to find out the optimum mechanical properties of friction stir welding of Al 6061-T6 alloy &Mg AZ31B alloy. In this present study an attempt has been made to study the effect of tool rotational speed, traversing speed and tool pin profiles (Taper Thread profile) on FSW zone transformation in Al and Mg alloys. For three different tools, rotational speeds, three different traversing speeds, and three different tool D/d ratios, one tool pin profile have been used to fabricate the joints. The formation of FSW of Al 6061 of fusion zone has been evaluated and correlated with base metal. Tensile properties, toughness and microstructure of the joint were evaluated and correlated as received Al 6061-T6 & Mg AZ31B alloys. The joints fabricated using rotational speed of 1120rpm, a welding speed of 40 mm/min, taper thread pin profile, tool shoulder diameter of 18 mm, (D/d)=3.0 showed higher tensile properties compared to other joints.
DESIGN AND PROTOTYPING OF ENVELOPE PASTING MACHINE
Authors: NIKHIL P.M. , SAVLA NEVIL BHARAT , RANJAN NEERAJ
Published: January 2021

Envelopes are the basic means used for communication. They come in different shape and size. These are used for sending letters, parcel, admit cards for entrance exams, telephone bills, electricity bills, etc. Before sending these envelopes they have to folded and pasted which is done manually due to which lot of effort and time is wasted. This paper discuss the development of a machine that folds and paste the envelope thereby minimizing the human effort and time.
TARGET HIT INTERCEPTOR MID-COURSE GUIDANCE SCHEME FOR BALLISTIC MISSILE INTERCEPTION
Authors: PRABHAKAR N. , SEKHAR K. CHANDRA , VAIDIYANATHAN V.
Published: January 2021

A Mid-course guidance algorithm has been developed for an exo-atmospheric interceptor to neutralize an incoming high speed ballistic Target. The guidance scheme positions the interceptor ahead of the target so that the velocity vectors of the target and interceptors are in the same direction. As the interceptors used in ballistic missile defence have a lower velocity than the incoming target, the target approaches the interceptor. The guidance scheme reduces the closing velocity compared to a head on approach thereby increasing the homing time for a given terminal sensor detection range. The guidance law is validated through numerical simulation.
HEAT TRANSFER ENHANCEMENT USING DIFFERENT GEOMETRY OF TWIST TAPE TURBULATORS: A REVIEW
Authors: SINGH INDRAKANT , DIWAKAR DR. NILESH
Published: January 2021

The development of high-performance thermal systems has increased interest in heat transfer enhancement techniques. The high thermal performance enhancement of heat exchanger systems is needed to use energy source efficiently due to the sky-rocketing prices of petroleum and coal fuels. Heat exchangers are widely used in industry both for cooling and heating. Insertion of turbulators in the flow passage is one of the favorable passive heat transfer augmentation techniques due to their advantages of easy fabrication, operation as well as low maintenance. The purpose of this review presents the effect of twisted tape turbulators on the heat transfer enhancement, pressure drop, flow friction and thermal performance factor characteristics in a heat exchanger tube. The twisted tape turbulator is a device for increasing the heat transfer rate in the heat exchanger system. The widely employed in several industrial and engineering applications of heat exchanger are automobile, refrigerators, solar collector, heat engine, air conditions, thermal power plant, electronic cooling, milk plant, chemical process industries etc. heat transfer enhancement using different type of the turbulators placed in the tube has been extensively studied for the past decade among the both passive and active technique are compile in this review.
MULTI-OBJECTIVE OPTIMIZATION FOR DESIGN OF SINGLE ROW LAYOUT IN FLEXIBLE MANUFACTURING SYSTEM WITH SCHEDULING CONSTRAINT:AN APPROACH OF NONTRADITIONAL OPTIMIZATION TECHNIQUES
Authors: MALLIKARJUNA K. , VEERANNA V. , REDDY K.HEMACHANDRA
Published: January 2021

Single row layout is one of the most usually used layout patterns in industries, particularly in flexible manufacturing systems. Here actual sequencing of machine and arrangement of parts, no doubt, have a great influence on the throughput of the flexible manufacturing system i.e., (F.M.S). This paper discusses the single row layout design in flexible manufacturing system (F.M.S). This paper furnishes the design, development and testing of simulated annealing technique and genetic algorithm to solve the single row layout problem by considering multi-objective i.e., minimizing the make span of jobs on all machines and minimizing the total transportation cost. The various line layout problems are tested for performance of objective function with respect to computational time and number of iterations involved in GA and SA. A necessary code is generated in C++ and the code is run by the IDE tool in which C++ compiler used as plug in. This tool has Eclipse based features which affords the competency to figure, correct, steer, and sort out the tasks that use C++ as a programming language using Intel core i3-380M processor. The results of the different optimization algorithms (Genetic Algorithm and simulated annealing method) are compared and finally, we observed that GA provide optimum results than SA.
MODELING OF AXIAL FLUX INDUCTION MACHINE WITH SINUSOIDAL WINDING DISTRIBUTION
Authors: BABU V.RAMESH , SONI M.P.
Published: January 2021

Axial Flux Machines are favorable option for Low speed applications because of the flexibility to have higher pole number. In this paper, an overview of axial flux machine is given in the first part. In the second part, the lumped parameters are determined for the axial flux induction machine which has sinusoidal winding distribution. And a model is developed based on the system equations derived in the environment of MATLAB.
SPACE VECTOR PWM SIGNAL GENERATION FOR ANY MULTILEVEL INVERTER BY USING REVERSE MAPPING TECHNIQUE
Authors: VARALAKSHMI K. , BALAKRISHNA K.
Published: January 2021

This paper proposes a generalized method for the generation of space vector pulse width modulation (SVPWM) signals for multilevel inverters. In the proposed method, the actual sector containing the tip of the reference space vector need not be identified. A method is presented to identify the center of a sub hexagon containing the reference space vector. Using the center of the sub hexagon, the reference space vector is mapped to the innermost sub hexagon, and the switching sequence corresponding to a two-level inverter is determined. A new technique is proposed in this paper, by which these two-level vectors are translated to the switching vectors of the multilevel inverter by adding the center of the sub hexagon to the two-level vectors. The proposed method can be extended to any n-level inverter, and a generalized algorithm is proposed. The scheme is explained for a five-level inverter, and experimental results are presented for a three-level inverter and seven level Inverter.
ANALYSIS ON DEGRADATION AND DEFORMATION OF TRANSFORMER INSULATION SYSTEM
Authors: MANIVANNAN T.
Published: January 2021

Performance of insulation system of power transformer is essential to ensure better performance of power network. Most of the power and distribution transformers in service are aged and, have experienced several thermal and electrical stresses due to varying loading conditions, in addition to ageing. The rate of degradation and hence, the useful life of the insulation system mainly depends on the variation of operational stresses. Due to the progress in insulation degradation, the dielectric strength of the insulating oil and paper over transformer winding may reach to a point such that it could not withstand any small abnormal currents and voltages. In order to maintain the quality of system operation it is necessary to keep the transformer in good condition. This needs appropriate maintenance based on reliable diagnostics. In this paper experimental results on the application of frequency response analysis (FRA) for the diagnosis of power transformers. Frequency Response of Transformer, also serves for assessing the deformation process.
TRAINING EFFECTS ON NEURAL NETWORK METHODS FOR VOLTAGE STABILITY INDEX COMPUTATION
Authors: SALIM LEELA , FRANCIS ANISH , Joseph Tibin
Published: January 2021

Voltage stability assessment plays a key role in operations of power systems. Neural network based assessment techniques are gaining a lot of attention in this area. In this work, we presents the effects of training parameters on assessment of voltage stability index based on the real field data .The stress on the bus is analyzed on the basis of real and reactive power, and the changes in the index based on contingencies in the system is presented. The work is focused on radial distribution power systems and is based on Kerala grid, India.
Road Tracking from High resolution IRS And IKONOS Images Using Unscented Kalman Filtering
Authors: Subash Jenita , K Madhan Kumar
Published: January 2021

A typical way to update map is to compare recent satellite images with existing map data, detect new roads and add them as cartographic entities to the road layer. At present image processing and pattern recognition are not robust enough to automate the image interpretation system feasible. For this reason we have to develop an image interpretation system that rely on human guidance. More importantly road maps require final checking by a human due to the legal implementations of error. Our proposed technique is applied to IRS and IKONOS images using Unscented Kalman Filter(UKF) . UKF is used for tracing the median axis of the single road segment. The Extended Kalman Filter (EKF) is probably the most widely used estimation algorithm for road tracking. However, more than 35 years of experience in the estimation community has shown that is difficult to implement and is difficult to tune. To overcome this limitation,UKF is introduced in road tracking which is more accurate, easier to implement, and uses the same order of calculations as linearization. The principles and algorithm of EKF and UKF were also discussed. The core of our system is based on profile matching.UKF traces the roadbeyond obstacles and tries to find the continuation of the road finding all road branches initializing at the road junction.The completeness and correctness of road tracking from the IRS and IKONOS images were also compared.
AN OVERVIEW OF IMAGE SEGMENTATION ALGORITHMS
Authors: KHAIRE. PUSHPAJIT A. , THAKUR NILESHSINGH V.
Published: January 2021

Image segmentation is a puzzled problem even after four decades of research. Research on image segmentation is currently conducted in three levels. Development of image segmentation methods, evaluation of segmentation algorithms and performance and study of these evaluation methods. Hundreds of techniques have been proposed for segmentation of natural images, noisy images, medical images etc. Currently most of the researchers are evaluating the segmentation algorithms using ground truth evaluation of (Berkeley segmentation database) BSD images. In this paper an overview of various segmentation algorithms is discussed. The discussion is mainly based on the soft computing approaches used for segmentation of images without noise and noisy images and the parameters used for evaluating these algorithms. Some of these techniques used are Markov Random Field (MRF) model, Neural Network, Clustering, Particle Swarm optimization, Fuzzy Logic approach and different combinations of these soft techniques.
CHAOTIC IMAGE ENCRYPTION USING-RC5
Authors: NAIR DHANYA B. , MAIDEEN RUKSANA
Published: January 2021

In order to protect valuable data from undesirable readers or against illegal reproduction and modifications, there have been various data encryption techniques. Many methods have been developed to perform image encryption. The use of chaotic map for image encryption is very effective, since it increase the security, due to its random behavior. The highly unpredictable and random-look nature of chaotic signals is the most attractive feature of deterministic chaotic systems that may lead to novel (engineering) applications. This paper introduces a new cascaded structure of chaotic encryption scheme with RC-5 algorithm. In this paper „Triple key‟ is used to encrypt and decrypt the data. Three different parameters which are decided by user are used to scramble the image data and so hackers get many difficulties to hack the data hence providing more security. Cascading RC-5 with triple key chaotic image encryption increases the security and the histogram can be made more uniform. For simulation MATLAB software is used. The experimental results shows that algorithm successfully perform the cryptography and highly sensitive to the small changes in key parameters.
ENHANCED CHAOTIC IMAGE ENCRYPTION ALGORITHM BASED ON TRIGONOMETRIC FUNCTIONS
Authors: MOHSINA M.K , ABRAHAM ROBIN
Published: January 2021

The advent of wireless communications, both inside and outside the home-office environment has led to an Increased demand for effective encryption systems. The encryption of images is quite different from that of the texts due to the bulk data capacity and high redundancy of images. Traditional methods are difficult to handle the image encryption because of their small space of pseudo random sequence. At present, the chaotic maps have been widely used in image encryption for their extreme sensitivity to tiny changes of initial conditions. The chaos based algorithms have suggested a new and efficient way to deal with the problem of fast and highly secure image encryption. In this paper, we propose an algorithm in which two one-dimensional chaotic maps are used instead of a one-dimensional chaotic map. We also use an external secret key of 96-bits. Thereby it significantly increases the resistance to statistical and differential attacks. The results of experiment, statistical analysis, correlation coefficient analysis and key sensitivity tests show that the algorithm is of great security and practicability.
A CONTOURLET DOMAIN WATERMARKING ALGORITHM
Authors: BRINTA N.R. , BIPIN P.R.
Published: January 2021

This paper presents a blind watermarking algorithm for digital images based on contourlet transform. After Contourlet transform, original image is decomposed into a series of multiscale, local and directional sub images. Each blocks of Arnold transformed watermark image, is embedded into suitable blocks of low pass coefficients of the contourlet transformed original image. Watermark is embedded using module arithmetic and odd-even quantization. The retrieving watermark algorithm is a blind detecting process, and it does not need original image. The experimental results show that the proposed watermarking algorithm is able to resist attacks, such as JPEG compression, noising, cropping and other attacks, and the watermarking is invisible and robust.
SINGULAR AXIS SELF BALANCING ROBOT
Authors: KUMRA SULABH , MEHTA SHILPA
Published: January 2021

In this paper, we presented the Balance model as a singular axis self balancing robot that is capable of adjusting itself with respect to changes in weight and position. We developed the Balance System from a single servo and a single accelerometer. The stability of the system is to show the capabilities of the ATMega8 in doing PID loops even with limited accuracy in position readings. PID control system is designed to monitor the motors so as to keep the system in equilibrium. It should be easily reproducible given the right parts and code.
COLOR HISTOGRAM BASED MEDICAL IMAGE RETRIEVAL SYSTEM
Authors: JADHAV A. S. , PAWAR RASHMI V.
Published: January 2021

This paper aims to focus on the feature extraction, selection and database creation of brain images for image retrieval which will aid for computer assisted diagnosis. The impact of content-based access to medical images is frequently reported but existing systems are designed for only a particular context of diagnosis. But, our concept of image retrieval in medical applications aims at a general structure for semantic content analysis that is suitable for numerous applications in case-based reasoning. By using the features, the database created for comparison. The color histogram is used to measure the similarity between the stored database image and the query image. The image which is more similar to the query image is retrieved as the resultant image. If the query
DESIGN FOR TESTABILITY TECHNIQUES FOR VIDEO CODING SYSTEMS
Authors: SRIKANTH PARSHA , SULTHANA SD.RAZIYA
Published: January 2021

Motion estimation algorithms are used in various video coding systems. While focusing on the testing of ME in a video coding system, this work presents an error detection and data recovery (EDDR) design, based on the residue-andquotient (RQ) code, to embed into ME for video coding testing applications. An error in processing elements (PEs), i.e. key components of a ME, can be detected and recovered effectively by using the proposed EDDR design. Therefore, paper describes a novel testing scheme of motion estimation. The key part of this scheme is to offer high reliability for motion estimation architecture. The experimental result shows the design achieve 100% fault coverage. And, the main advantages of this scheme are minimal performance degradation, small cost of hardware overhead and the benefit of at speed testing.
LINEAR FEATURE EXTRACTION FOR SATELLITE IMAGES USING CNLS (CONTEXTUAL NONLINEAR SMOOTHING) ALGORITHM
Authors: CHAITHANYA J.KRISHNA , SHRI DR.T.RAMA
Published: January 2021

The satellite images present a great variety of features due to the trouble what returns their treatment is little delicate. The automated extraction of linear features from remotely sensed imagery has been the subject of extensive research over several decades. Recent studies show promise for extraction of feature information for applications such as updating geographic information systems (GIS). Research has been stimulated by the increase in available imagery in recent years following the launch of several airborne and satellite sensors. All the satellite images, which are going to be used in the present work, are going to be processed in the computer vision, for which the existing researchers are interested to analyze the synthetic images by feature extraction. These images contain many types of features. Indeed, the features are classified in 1-D feature such as step, roof and 2-D features such as corners, edges, and blocks. The satellite images present a great variety of features due to the trouble what returns their treatment is little delicate. In this we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual nonlinear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses.
AN OPTIMIZED FEATURE EXTRACTION TECHNIQUE FOR CONTENT BASED IMAGE RETRIEVAL
Authors: SIVAN SAVITHA , I THUSNAVIS BELLA MARY.
Published: January 2021

Content-based image retrieval (CBIR) is an active research area with the development of multimedia technologies and has become a source of exact and fast retrieval. The aim of CBIR is to search and retrieve images from a large database and find out the best match for the given query. Accuracy and efficiency for high dimensional datasets with enormous number of samples is a challenging arena. In this paper, Content Based Image Retrieval using various features such as color, shape, texture is made and a comparison is made among them. The performance of the retrieval system is evaluated depending upon the features extracted from an image. The performance was evaluated using precision and recall rates. Haralick texture features were analyzed at 0 o, 45 o, 90 o, 180 o using gray level co-occurrence matrix. Color feature extraction was done using color moments. Structured features and multiple feature fusion are two main technologies to ensure the retrieval accuracy in the system. GIST is considered as one of the main structured features. It was experimentally observed that combination of these techniques yielded superior performance than individual features. The results for the most efficient combination of techniques have also been presented and optimized for each class of query.
AN EFFICIENT APPROACH FOR CONTENT BASED RETRIEVAL USING MULTI WAVELET AND HSV COLOR SPACE
Authors: VENKATESWARLU E. , RAJAN K.SOUNDARA
Published: January 2021

This paper presents an approach for image retrieval by using multiwavelet and hsv color space. The HSV stands for the Hue, Saturation and Value, provides the perception representation according with human visual feature. The multiwavelets offer simultaneous orthogonality, symmetry and short support. In this paper, we have tested 140 images with 5 different categories. the experimental results show the better results interms of retrieval accuracy and computation complexity. The performance of this approach is measured and results are shown. Euclidean Distance and Canberra Distance are used as similarity measure in the proposed CBIR system.
LIGHT SCATTERING FENESTRATION SYSTEM
Authors: MOHAPATRA BADRI NARAYAN , MOHAPATRA RASHMITA KUMARI
Published: January 2021

Successful integration of day lighting systems requires the ability to predict their performance for given climates. In this, a bottom-up approach is applied to evaluate the optical performance of a selection of day lighting systems. The evaluations are based on the optical properties of the included materials, and focuses on developing new optical characterization methods. The work on characterization techniques uses an integrating sphere method to characterize the transmittance of light scattering samples more accurately. The method's principle is to reduce the discrepancy in light distribution between the reference and the sample scans by using an entry port beam diffuser. For samples exhibiting distinct light scattering patterns, the benefits of improved uniformity outweigh the errors introduced by the diffusing material. The method is applicable to any integrating sphere instrument, and its simplicity makes it suitable for standard measurements.
ANALISIS POTENSI PAJAK PENGHASILAN ATAS BAGI HASIL YANG DIBAYARKAN MITRA GOFOOD KEPADA PERUSAHAAN GOJEK
Authors: Galuh Fajarizki
Published: January 2021

The growth of  many startup that provides various of product like application based technology makes economics activity more effective and efficient, such as Gojek. One of the best features that gojek has is gofood. Gofood facilitates its users to buy beverages via online. Because of that, many restaurant in Indonesia begin to become gofood’s partner. However, the existence of gofood’s partner still doesn’t contribute for tax income. This researches aim to analyze personal tax income of gofood’s partner potenty more deeply that focuses on KPP Pratama Jember’s administration area. This research uses qualitative approaches to collect data by interviewing some related interviewees.. According to research result, the growth of gojek application influences to increasing of gofood partner’s omzet.. So, this condition gives impact to increasing of personal income tax potenty. The personal income tax potenty consists of three aspect, such as income aspect, operation expense aspect, and sharing profit aspect. Directorate General of Taxation should designs a rules that manages taxation of gofood partner’s business process. This strategy is expected to increase tax revenue and contributes to development of this country in the  future.
A anatomia jurídica dos conselhos participativos
Authors: Parziale Aniello dos Reis
Published: January 2021

Objetiva o presente artigo oferecer um estudo acerca do regime jurídico dos conselhos participativos, onde se apresentará as espécies de conselhos existentes, suas atribuições, a relação com o Poder Público criador, a composição destes colegiados e outras particularidades de forma a permitir entender o funcionamento destas instâncias de participação popular no bojo da democracia participativa.
Biomass Power Plant and its Harmonic Mitigation by Single Tuned Passive Shunt Filter
Authors: Shelke Sharanappa  B. , Dhamse Sanjay S.
Published: January 2021

This paper presents the actual case study of a direct combustion biomass to electricity generation power plant. Conventional fuel sources used for generation of electricity may vanish in future hence biomass to electricity generation gives an important option. The development of biomass conversion technologies and their economic adoption has vast scope in India. In recent times / days electronically switched and nonlinear type of loads are used and applied by most of the consumers. When nonlinear types of loads are connected with supply, they introduce harmonics in the system, which produces so many bad effects such as increase in losses, resonance effect, malfunction of protective systems, saturation of magnetic core, decrease in efficiency etc. hence it is essential to mitigate the harmonics within the set limits. Traditionally single tuned passive shunt filters are most economical and efficient type of filters and are most widely used for almost all applications of harmonic mitigation. An analytical model of synchronous generator with nonlinear load is initially developed by using MATLAB. The simulation results with and without application of single tuned passive shunt filters are analyzed on power quality parameters such as VTHD and ITHD by using FFT analysis with achievement of harmonic mitigation.
Retrospective Studies – Utility and Caveats
Authors: Talari Keerthi , Goyal Mohit
Published: January 2021

A thorough understanding of the pros and cons of the various study designs is critical to correct interpretation of their results. Retrospective studies are an important tool to study rare diseases, manifestations and outcomes. Findings of these studies can form the basis on which prospective studies are planned. Retrospective studies however have several limitations owing to their design. Since they depend on review of charts that were originally not designed to collect data for research, some information is bound to be missing. Selection and recall biases also affect the results and reasons for differences in treatment between patients and lost follow ups can often not be ascertained and may lead to bias. Readers need to critically evaluate the methods and carefully interpret the results of retrospective studies before they put them to practice. Researchers should avoid over generalisation of results and be cautious in claiming cause-effect relationship in retrospective studies.
Normal Dose Paracetamol in Muscular Dystrophy Patients – is it Normal?
Authors: Yin James Liu , Teo Kuok Shern , Philipose Zinu
Published: January 2021

A 16-year-old male with Becker muscular dystrophy was admitted to hospital with a significant liver injury due to paracetamol. The dosage of paracetamol ingested was within current guidance yet there was sudden derangement of liver function. The patient was treated with five days of N-acetyl cysteine to which he responded, with his alanine aminotransferase improving from 5,599 to 652 and international normalised ratio from 5.0 to 0.9. He had risk factors for paracetamol toxicity as he was malnourished and had muscular dystrophy. The purpose of this case report is to highlight that despite prescribing approved dosages of paracetamol some patients may have toxicity due to altered body composition and pharmacokinetics.
Hurst Rehabilitated: The Treatment of Functional Motor Disorders by Arthur Hurst during the First World War
Authors: Jones Edgar , Stone Jon
Published: January 2021

Arthur Hurst was a British First World War physician, best known for his films of shell shock, ‘War Neuroses'. He has often been portrayed an innovative pioneer of somewhat mysterious ‘suggestion’ techniques for functional motor disorders but also as an ambitious clinician who exaggerated the effectiveness of his treatments and failed to address psychological factors. His use of suggestion, persuasion and re-education together with occupational therapy, for chronic or severe cases of shell shock stirred controversy at the time because of the dramatic nature of some of his treatment responses and lack of outcome data. In part, this was a turf war between neurologists and psychiatrists for a dominant therapeutic model. A re-evaluation of his publications and new research into soldiers treated at Seale Hayne in Devon show that Hurst pioneered multidisciplinary and empathetic treatments for functional motor disorders with good short-term outcomes, though insufficient data survives to assess longer term outcomes.
Agricultural Educators and the Pandemic: An Evaluation of Work and Life Variables
Authors: McKim Aaron J. , Sorensen Tyson J.
Published: January 2021

Agricultural Educators and the Pandemic: An Evaluation of Work and Life Variables
Reflections on Innumeracy in the Wild
Authors: Peters Ellen M.
Published: January 2021

Peters, E. (2020). Innumeracy in the Wild: Misunderstanding and Misusing Numbers. (New York, NY: Oxford University Press) 315 pp. ISBN 978-0190861094

This piece briefly introduces and excerpts Innumeracy in the Wild: Misunderstanding and Misusing Numbers, written by Ellen Peters and published by Oxford University Press. Through a state-of-art review of the literature, the book explains how numeric ability supports the quality of the decisions people make and the life outcomes they experience. It presents three ways that people can be good or bad with numbers and how each of these numeric competencies matter to decision making.
Urinary netrin-1 concentration in healthy full-term newborns
Authors: Kamianowska Monika , Szczepański Marek , Kulikowska Elżbieta , Bebko Barbara , Koput Alicja , Wasilewska Anna
Published: January 2021

Introduction

Monitoring of renal function in acute kidney injury in the pediatric population is complicated by the lack of age-related reference values of new biomarkers. Urinary netrin-1 is a new marker to demonstrate early kidney damage. Netrin-1 has a molecular mass of 72 kDa. It is therefore unlikely that it is filtered by the glomerulus under normal conditions. However, netrin-1 is highly induced after acute and chronic kidney injury and excreted in urine in humans. The aim of the study was to determine the normal concentrations of urinary netrin-1 in healthy full-term newborns.

Material and methods

The study included 88 healthy full-term neonates (51 boys and 37 girls) born from normal, uncomplicated pregnancies. The concentration of netrin-1 was determined in urine obtained on the first or second day of life with a commercially available ELISA kit.

Results

The urinary concentration of netrin-1 in newborns was independent of gender and time of urine collection. We found a negative correlation between both the urinary netrin-1 concentration and urinary netrin-1 concentration after normalization for urinary creatinine and the birth weight.

Conclusions

This is the first study showing the urinary netrin-1 concentration in healthy full-term newborns. Future investigation is needed to confirm its potential role as a marker of kidney function in this age group.
Safety, efficacy, length of stay and patient satisfaction with outpatient management of low-risk pulmonary embolism patients – a meta-analysis
Authors: Malik Aaqib , Aronow Wilbert
Published: January 2021

Introduction

Annual health expense of hospital admissions, due to venous thromboembolism including pulmonary embolism, exceeds 10 billion dollars in the United States. Most of these patients still get admitted to the hospital despite the advent of novel oral anticoagulants. Our aim is to show that low-risk pulmonary embolism patients can safely be discharged from the emergency department with similar patient satisfaction and lower length of stay.

Methods

A comprehensive search in Medline indexed and non-indexed, Embase, and Cochrane Central was performed to search for all the randomized controlled trials that compared inpatient treatment of low-risk pulmonary embolism to outpatient treatment.

Results

Of 68 potentially relevant studies, a total of 2 studies (453 participants) met our inclusion criteria and had data available on patient satisfaction, length of stay, efficacy, and patient safety. The pooled estimate of the included studies showed that at 3-month follow-up, there was no statistically significant difference between inpatient and outpatient treatment of these low-risk patients.

Conclusions

In conclusion, our meta-analysis of 2 randomized controlled trials shows that low-risk pulmonary embolism patients can safely be discharged from the emergency departments in the limited studies available. We need more randomized controlled trials to confirm these findings.
Wobec dogmatyzmu. Zachodni marksizm, „The Making of the English Working Class” i komunistyczne historiografie w NRD, Czechosłowacji i Polsce 1948–1990
Authors: Kučera Rudolf
Published: January 2021

Mimo zawrotnej kariery książki E.P. Thompsona The Making of the English Working Class (1963) poza Wielką Brytanią, recepcja Thompsonowskich kategorii i koncepcji – czy też, szerzej, zachodniej myśli marksistowskiej – w krajach byłego bloku wschodniego pozostaje zagadnieniem wciąż mało znanym. Tematem artykułu są reakcje historyków z NRD, Polski i Czechosłowacji na próby podważenia oficjalnego stanowiska marksistowskiej ortodoksji. Na przykładzie pracy Thompsona autor omawia zarówno recepcję zachodnich inspiracji za żelazną kurtyną, jak i jej brak. Umieszczając ten wycinek historii historiografii w szerszym kontekście zmieniającego się krajobrazu politycznego krajów Europy Środkowo-Wschodniej po drugiej wojnie światowej, tekst wskazuje na paradoksy powojennego krążenia idei.
Kontrrewolucyjne pojęcie. „Polityka historyczna” w Polsce
Authors: Łuczewski Michał
Published: January 2021

Tekst podejmuje analizę semantyczną pojęcia polityki historycznej, które stanowi ważny klucz do zrozumienia przemian społecznych III RP i nowoczesności w ogóle. Pojęcie polityki historycznej zostało spopularyzowane pod koniec lat 90. przez intelektualistów związanych z Warszawskim Klubem Krytyki Politycznej (WKKP) i uzyskało rezonans jako jeden z filarów rewolucji semantycznej Prawa i Sprawiedliwości z lat 2003–2005. Przejawem instytucjonalizacji tego pojęcia jest otwarte w 2004 roku Muzeum Powstania Warszawskiego, którego współtwórcami byli członkowie WKKP. Pojęcie polityki historycznej pojawiło się w kontekście krytyki nowoczesności i charakterystycznego dla niej zerwania z przeszłością na rzecz wyboru przyszłości. Miało ono zarazem wymiar nowoczesny: dążąc do rewolucyjnej przemiany rzeczywistości, wybierało przyszłość, nie zrywając z przeszłością, lecz do niej powracając. Artykuł odwołuje się także do prehistorii tego pojęcia w filozofii dziejów Bronisława Trentowskiego i Augusta Cieszkowskiego, wskazuje na głębokie warstwy znaczeniowe polityki i historii.