bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel System Design for Intravenous Infusion System Monitoring for Betterment of Health Monitoring System using ML- AI
Authors:   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., J.R* Dinesh Kumar , Ganeshbabu Dr. C. ,   Professor/ECE, Bannari Amman Institute of Technology,Sathyamangalam, Tamil nadu, India., D.V Soundari ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., K Priyadharsini ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India., S P Karthi ,   AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil nadu, India.
Published: January 2020

In the upswing of contemporary science we can monitor and regulate the saline flow rate. Scrupulous flow has to be retained so that risks of fore shortening the threshold level of patient’s heart rate, blood pressure and oxygen level in blood level. Intravenous infusion used intermittently in hospital has to be checked for is purity. For the change in threshold level of patient’s body condition, saline flow has to be adjusted. The assessments obtained from the patients is proceed to the centralizer controller which is connected to the cloud is updated periodically to avoid loss of reports. The updated data sets shared to the chemist and CPU so that flow rate of saline is controlled automatically in accordance to the data received. The machine learning based algorithm (SVM) is used to predict the more accurate changes on data which is obtained from patients so that the controller can act agilie. This work gives better results based on the accuracy level calculation and efficiency improvement in terms of more fast response.
Design of a Combination Tool
Authors:   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India,, Reddy. S* Venkata , Rakesh V. Sai ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India., Naveen D. ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India., Varun M. ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India., Praksh S. ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, India.
Published: January 2020

The undertaken project work involves design, analysis and manufacture of a COMBINATION TOOL to produce TABLE TOP NAME CARD HOLDER. The main advantage of this combination tool is it can be accommodated with different operations in one single stage. This will reduce the complexity of the design of the tool. As the number of stages increases the design complexity also increases. Therefore usage of this tool will reduces the manufacturing and the design complexity and make the things easy. The combination tool performs both cutting and non-cutting operations. It can be done in the following way- The piercing, notching, lancing & bending operations are performed in the first stage, and then the blank is kept in the inverted position in the second stage where another bending is carried out. The relative positions with the previously pierced holes are maintained during the bending operation, with locating pins.
Optimal Power Flow in Uncertain Power System
Authors:   Department of Electrical & Electronics Engineering, UIT-RGPV, Bhopal, India, Sharma* Namami Krishna , Choube S. C. ,   Department of Electrical & Electronics Engineering, UIT-RGPV, Bhopal, India
Published: January 2020

Due to the increasing demand of electricity in ever-growing electricity market, it is necessary to observe the nature of load and map the effects of load uncertainties on the operation of power system. These uncertainties have also led to voltage instability which is sooner or later considered to be a fundamental cause of blackouts. The distributed generation sources can also be regarded as the source of uncertainties at the load ends of power systems. Along with the load uncertainties, wind turbine generation (WTG) and solar plants have also been used as a source of uncertainties in this paper. The load uncertainties have been incorporated in the system by designing a dynamic load flow program. Corresponding to all uncertain inputs critical case has been identified by the singularity property of load flow jacobian. For the optimal load flow a multi-objective optimization problem aiming to constrained objective function to enhance voltage stability, improve stability index value, reduce system losses and increase reactive reserve margins at generator buses has been formulated. Black hole algorithm has been used to achieve the optimal values of control variables and hence optimal load flow. The aforementioned problem has been tested on standard IEEE-14 bus system.
Development of Efficient Wireless Sensor Network for IoT based Applications
Authors:   Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India., Prasanth* A. , Francis Divya ,   Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India., Kohila C. ,   Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India., Gayathri D. ,   Assistant Professor, ECE Department, PSNA College of Engineering and Technology, Dindigul, India.
Published: January 2020

Wireless Sensor Network (WSN) is a rapidly growing area for IoT based research and applications. The main concern of research in WSN is to organize the node with different abilities including sensing range, communication range in the wireless network and route the detected data from the nodes to a central sink with dynamism. Clustering or Sector Formation is a key network employed to lengthen the lifespan of WSN by reducing energy utilization. LEACH is a sector algorithm in which the sector heads are arbitrarily chosen from the nodes and utilized to identify the solution with a better location to yield the energy loss sector heads. However, the non-optimal selection of sector head in LEACH cause the lesser lifespan of WSN. To overcome these issues, the Modified Quadrature-LEACH (MQ-LEACH) scheme is proposed in this paper which efficiently formed the sectors by selecting the optimal sector heads in the network. The simulation will be conducted in the NS2 environment where the essential parameters are evaluated for both proposed and existing methods. Further, the proposed scheme improves the network lifespan and stability period compared to existing schemes.
Lifetime Maximization of Wireless Sensor Network using Unequal Clustering
Authors:   Research Scholar, Dept. of CIS, Annamalai University, Chidambaram, Tamil Nadu, India., Sivaraman* N. , Mohan S. ,   Assistant Professor, Dept. of CSE, Annamalai University, Chidambaram, Tamil Nadu, India., Selvakumar M. ,   Assistant Professor, Dept. of ECE, Annamalai University, Chidambaram, Tamil Nadu, India.
Published: January 2020

Wireless Sensor Network (WSN) is a set of self-regulating sensors which are minute devices and it has limited battery power and a reduced amount of computing ability. The nodes of the sensors dispensed arbitrarily or physically in the sensing region to log the environmental constraints of a region meant to notify a specific destination called BS (BS). The organization of WSN into a set of clustering enabling effective exploitation of restricted energy resources of the placed nodes. But, the issue of uneven energy utilization exists and is related to the localization of a specific node in WSN. When the network undergo organization into different clusters where few significant nodes plays a vital role of cluster head (CH) for network management. In some cases, the clusters are organized in an unequal form called Unequal Clustering Size (UCS) to organize the nodes, results in consistent energy utilization and maximized lifetime of WSN. Besides, it is evident that it offers consistent energy utilization in a homogeneous way.
Development and Substantiation of the Parameters of the Battery Mechanism with Elastic Elements of the Weaving Machines
Authors:   Doctor of Technical Sciences, Professor, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan., Djuraev* Anvar , Madrakhimov Shavkat Khalimovich ,   Doctor of Philosophy in Engineering (Ph.D), Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan., Mavlyanov Aybek Palvanbaevich ,   Doctor of Philosophy in Engineering (Ph.D), Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan, Isroilzhonovna Urinova Sohiba ,   Scientific Applicant, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan.
Published: January 2020

The article provides the scheme and principle of operation of the batan mechanism with elastic elements of looms. Based on theoretical studies, an expression is determined to determine the maximum compression moment of a torsion spring. From the equilibrium condition of the three-arm lever of the batan, the laws of movement of the reed are determined. The results of numerical solution of problems are presented. Studies substantiated the parameters of the mechanism. Based on the tests, the ways of increasing the productivity of the machine are substantiated..
Prediction and Clustering Techniques used in the Development of Stock Forecasting Model
Authors:   Assistant Professor, Department of Computer Science, shailaja.mca@bmsce.ac.in B.M.S College of Engineering, Bangalore, India., K P * Shailaja , M Manjunath ,   Assistant Professor, Department of Computer Science, R V College of Engineering, Bangalore, India.
Published: January 2020

With the advancement in science and technology more and more real time data is being accumulated in the digital repositories. One such highly accumulating data is stock market data. Prediction of stock market data and its analysis is a challenging task as it is a highly sophisticated time series data vulnerable to sudden changes. The data and its relevance in the real world has attracted the interest of many researchers. Research literature provides many contributions by eminent researchers for analyzing and developing models for stock data. In this research paper an effort has been made present two things. One, building a stock prediction model using artificial neural network using different learning functions and we found that the different learning functions produces different results. In our experiment we have achieved a highest accuracy of 94.55%. The second thing we are trying to do in this article is to provide a detailed information on various techniques used for stock data prediction. More than 50 articles have been studied to present the significant contribution of the researchers. The articles are categorized into two main sections namely prediction methodologies used for stock data analysis and clustering methodologies used for stock data analysis. The sections, prediction methodologies used for analysis and clustering methodologies used for analysis are further explored into eight and four sub categories respectively depending upon the methodologies used. After presenting the detailed analysis, we have also highlighted the research gaps existing in the methodologies discussed in this paper.
MHD Flow of a Stratified Dusty Fluid in Porous Medium Past An Infinite Porous Vertical Plate
Authors:   Professor, Department of Applied Mathematics, IIMT College of Engineering, Greater Noida, India., Sharma* Dr Dinesh Kumar , Saxena Dr Pawan ,   Associate Professor, Department of Applied Mathematics, IIMT College of Engineering, Greater Noida, India., Kumar Dr. Yogesh ,   Associate professor, Department of Applied Science and Humanities, IIMT College of Engineering , Greater Noida, India.
Published: January 2020

In this article, MHD flow of a stratified dusty viscous fluid through a porous medium past an infinite porous vertical plate with time dependent suction has been investigated assuming that the free stream oscillates about a constant mean and suction velocity as exponentially decreasing function of time. The liquid velocity, particle velocity and skin friction for liquid and dust particles have been obtained. The effect of magnetic field, Grashoff number, permeability and stratification factor on velocity profiles and skin friction have been discussed with the help of graphs and tables.
Estimation of State-of-Charge and State-of-Health of Batteries by using Different Adaptive Techniques
Authors:   Department of Electrical Engineering NIT Jamshedpur, Jharkhand, India., Sakile* Rajakumar , Sinha Dr. Umesh Kumar ,   Department of Electrical Engineering NIT Jamshedpur, Jharkhand, India.
Published: January 2020

To know the performance and life cycle of the battery State-of-Charge (SOC) has to be calculated. SOC cannot calculate directly. Many chemical factors are involved in batteries, which causes non-linear elements in the battery. Therefore, the prediction of SOC is difficult.in this paper different adaptive techniques are used to find the SOC. Adaptive systems can automatically adjust the SOC for different type of batteries. 2Ah rating Lithium-ion battery is consider to estimate SOC and related parameters. Open circuit voltage method, current integral method and modified Kalman filter methods are discussed to obtain the internal parameters ( oc int U ,R ,R,C) of the battery.
An Effect of Machine Learning Based Classification Algorithms on Chronic Kidney Disease
Authors:   Pursuing Ph.D in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India., Lambert* Jerlin Rubini , Arulanthu Pramila ,   Pursuing Ph.D in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India., Perumal Eswaran ,   Assistant Professor in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India.
Published: January 2020

In the recent days, the prediction models of chronic kidney disease (CKD) becomes significant in the area of decision making which is helpful in healthcare systems. Because of large amount of medical data, efficient models are required to obtain precise results and data classification algorithms can be employed to detect the presence of CKD. Recently, various machine learning (ML) dependent on data classifier technique is presented for forecasting CKD. Since numerous classification algorithms for CKD prediction exist, there is a need to investigate the prediction performance of these algorithms. This paper propose a comparative analysis of 4 data classifier technique such as deep learning (DL), decision tree (DT), random forest (RF) and random tree (RT). The process of classification technique is analyzed with the help of reputed CKD dataset attained from UCI repository. From the simulation outcomes, it is evident that the DL method achieved optimal classifier action with respect to various namely accuracy, precision and recall.
Characterizing Functional Connectivity Network Based on Multi-Domain Analysis for Epilepsy Classification
Authors:   Research Scholar, Department of ECE , SSM Institute of Engineering and Technology, Dindigul, Chennai, India., Anupallavi* S. , Babu G. Mohan ,   Associate Professor, Department of ECE ,SSM Institute of Engineering and Technology, Dindigul, Chennai, India., Ashokkumar S. R. ,   Associate Professor, Department of ECE ,SSM Institute of Engineering and Technology, Dindigul, Chennai, India.
Published: January 2020

Epileptic is a neural disease exemplified through untypical concurrent signal discharge from the neurons present in the brain region. This abnormal brain functionality could be captured through electroencephalography (EEG) system. Generally the observed EEG signals are examined by the experienced neurologist, which may be time consuming when observing hours of EEG signal. Therefore, this proposed work provides a fully automatic epileptic seizure detection system by means of the multi-domain features along with various machine learning algorithms. Initially, the obtained EEG signals are processed to clear noise and artefacts. Subsequently, the pre-processed signals are segregated as 5 seconds epochs and for each epoch various features are extracted from frequency domain, time domain. Additionally entropy, correlation and graph theory approaches has been used for analysis the connectivity of the brain network. Subsequently, distinguishable features are chosen carefully in this regard from the immense feature set by virtue of multi-objective evolutionary method and convincingly, classification has been performed using support vector machine(SVM).A Bayesian optimization (BaO) algorithm was utilized to optimize the SVM's hyper-plane parameters. In addition, Quadratic Discriminant Analysis (QDA), Linear Discriminant Analysis (LDA),Random Forest Ensemble (RFE) and k-Nearest Neighbor Ensemble (k- NNE) was also used for comparing the proposed results. These obtained results validates by considering the performance of this work is competing along with state-of the-arts approaches. The proposed work is implemented on a CHB-MIT database .The obtained performance measure of the classifiers are 99.09%, 81.49%,80.90%,76.85% and 84.14 % in SVM , LDA, QDA, k- NNE and RFE respectively. Finally SVM with Bayesian Optimization (BaO) algorithm outperforms than other classifiers with accuracy, AUC, sensitivity and specificity, as 99.09%, 99.67%, 98.06% and 98.12%, respectively.
Correlation and Probability Based Similarity Measure for Detecting Outliers in Categorical Data
Authors:   Noorul Islam Centre for Higher Education, Kumaracoil, India., Thomas* Roy , Judith J.E. ,   Noorul Islam Centre for Higher Education, Kumaracoil, India.
Published: January 2020

Determining the similarity or distance among data objects is an important part in many research fields such as statistics, data mining, machine learning etc. There are many measures available in the literature to define the distance between two numerical data objects. It is difficult to define such a metric to measure the similarity between two categorical data objects since categorical data objects are not ordered. Only a few distance measures are available in the literature to find the similarities among categorical data objects. This paper presents a comparative evaluation of various similarity measures for categorical data and also introduces a novel similarity measure for categorical data based on occurrence frequency and correlation. We evaluated the performance of these similarity measures in the context of outlier detection task in data mining using real world data sets. Experimental results show that the proposed similarity measure outperform the existing similarity measures to detect outliers in categorical datasets. The performances are evaluated in the context of outlier detection task in data mining.
Role of Pre-processing Phase in Document Clustering Technique for Gurmukhi Script
Authors:   Dept. of Computer Science, Mata Gujri College, Fatehgarh Sahib, Punjab, India., Kumar* Mukesh , Verma Amandeep ,   Punjabi University Regional Centre for Information Technology & Management, Mohali, Punjab, India.
Published: January 2020

Document clustering plays a central role in knowledge discovery and data mining by representing large data-sets into a certain number of data objects called clusters. Each cluster consists similar data objects in such a way that data objects in the same cluster are more similar and dissimilar to the data objects of other clusters. Document clustering technique for Gurmukhi script consists two phases namely: 1) Pre-processing phase 2) Processing phase. This paper concentrates pre-processing phase of document clustering technique for Gurmukhi script. The purpose of pre-processing phase is to convert unstructured text into structured text format. Various sub-phases of pre-processing phase are: segmentation, tokenization, removal of stop words, stemming, and normalization. The purpose of this paper is to present the significant role of pre-processing phase in an overall performance of document clustering technique for Gurmukhi script. The experimental results represent the significant role of pre-processing phase in terms of performance regarding assignment of data objects to the relevant clusters as well as in creation of meaningful cluster title list.
Design and Development of Efficient Water Management for Agriculture using IoT and Fuzzy Logic
Authors:   CSE Department, LENDI, Viziangaram, AP, India., Satish* Dekka , Raju Dr.K.Narasimha ,   CSE Department, LENDI ,Viziangaram, AP, India., Satish Bonu ,   CSE Department, LENDI,Viziangaram, AP, India., Pallavi Mangalagiri ,   CSE Department, LENDI, Viziangaram, AP, India., Ganesh Pudi ,   CSE Department, LENDI, Viziangaram, AP, India.
Published: January 2020

Agriculture is a major source of living in India. The productive growth of the crop depends mainly on various sources such as adequate supply of water, fertilizers and soil conditions. Excessive water in the farming field may damage the crop and similarly limited supply of water results for causing diseases in crops. Therefore the proper management of water is required for better yield of the crops. In this paper, a system was designed and developed for efficient water management in agriculture field. This work utilized the advantages of Internet of Things (IoT) and Fuzzy logic. The proposed work reduces the burden on the farmers and increases GDP of Indian economy.
Dimethicone Crosspolymer Effect on Bio Pad Material
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Nazali* Nur Nabila Mohd , Nasir Farah Nur Aisha Mohammad ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor Malaysia., Manan Nor Fazli Adull ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia.
Published: January 2020

Bio pad wound dressing is one of the current material in wound healing technology. This aim of this paper is to study the effects of dimethicone cross polymer on the biomaterial and to investigate the mechanical properties of the bio pad by the integration of experimental and numerical approach. In vitro uniaxial tensile test was performed to compute the stress-stretch response of the materials using ASTM D412 standard. The determination of material constants for the materials via numerical approach can be done by comparing with two hyper elastic constitutive models (Ogden and Neo-Hookean). The results show that Ogden’s exponent and coefficient for the subject estimated to be (μ = 0.434 MPa, α = 1.299) for Sample 1, (μ = 0.428 MPa, α = 1.424) for Sample 2, (μ = 0.463 MPa, α = 1.256) for Sample 3 and (μ = 0.633 MPa, α = 1.001) for Sample 4 respectively. Meanwhile, value of material constants for Neo-Hookeen were estimated to be (C1 = 0.00814 MPa), (C2 = 0.0121 MPa), (C3 = 0.00597 MPa) and (C4 = 0.00739 MPa) for Sample 1, Sample 2, Sample 3 and Sample 4 respectively. Therefore, this study could be useful in future studies in analysis of healing especially in dermatology area.
Effect of Temperature and Tanning Agent on Mechanical Properties of Animal Skin
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia,, Manan* Nor Fazli Adull , Shaharuddin Mohammad Nur Syahir bin ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia., Nazali Nur Nabila Mohd ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia,
Published: January 2020

Open exposure to the extraordinary amount of the heat under the sun can causes the damage to the skin and lead to diseases. The analysis of the mechanical properties on cow skin which investigated by analyzing the uniaxial tensile test in order to produce the outcome based on the situation stated. Besides that, cow skin was selected in order to compare with the previous study on sheep skin. The aim of the study is to investigate the effect of varies temperature on mechanical properties of the animal skin. Experimental and numerical is part of the integration process of the data. Uniaxial tensile test was performed to measure the basic mechanical parameter of stress-stretch by according to the ASTM D2209-00 testing standard. Other than that, the hyperelastic constitutive model Arruda & Boyce (A&B) equation is simplified via numerical approach for finding the material parameter. A graph of Stress-Stretch (σ-λ) plotted for curve fit with the experimental data to obtain the mechanical properties of parameter. Overall, the samples applied with lanolin coating is more elastic even though it dried at 40oC compared to the sample sets without lanolin coating. With having the specific mechanical data of the skin by computational program and analysis it become more reliable by showing the real skin behavior to the variable.
Double Shear Load Carrying Capacity of Kempas and GFRP Dowelled Connections
Authors:   Faculty of Civil Engineering Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Rahman* P.E.H. Ab. , Malek N.J. ,   Faculty of Engineering and Built Environment, SEGi University, Kota Damansara ,47810, Petaling Jaya, Selangor., Hassan R. ,   Engineered Wood Product (EWPro) Research Group, Faculty of Civil Engineering Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Published: January 2020

Glass fibre reinforcement polymers (GFRP) application for reinforcement of wood, concrete and steel member is relatively becoming more variety in construction applications. Although it is possible to build large monolithic structures with composite materials, there are still several reasons for the structure to fail. One of the main reasons that contribute to this failure is the connection performance due to its function in carrying load across the structure. Thus having the right fundamental data for connection design purposes according to the specific and technological upgraded materials is very important. One of the basic methodologies in gaining the design data is through experimental double shear test which can be verified by European Yield Model (EYM) theory. Therefore, the objective of this research is to determine the load carrying capacity of double shear strength behaviour connections made of Kempas timber species as the main member and dowelled by the GFRP or the Kempas rod. The specimens were tested under the shear load with 2mm/min rate and tested until failure. From the experiment, it was found that the average ultimate shear strength of member dowelled with GFRP rod is 21.36% higher compared to one doweled with Kempas rod. According to mode of failure between two types of bolt, GFRP dowelled performs well (Mode I& IV) rather than Kempas dowelled (Mode IV).
Quasi-Static Indentation Response of Galvanized Iron Toughened Glass Fiber/Epoxy Laminates
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia., Jumahat* Aidah , Mohamad Nasir Mohamad Nasron Mubin ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia.
Published: January 2020

This paper is aimed to study the quasi-static indentation response of fiber metal laminates (FMLs) that are made of various arrangement of galvanized iron (GI) alloy thin sheet, glass fibre and epoxy polymer. Unidirectional and woven types of glass fiber/epoxy pre-impregnated laminates and three different thickness of GI thin sheet, i.e. 0.5, 1.0 and 2.0 mm, were used to produce FML systems using combination of hand layup and hot press methods. The FML systems were coded as UGFRP, UGFML 1/2-2, UGFML 2/3-1, UGFML 4/5-0.5, WGFRP, WGFML 1/2-2, WGFML 2/3-1, WGFML 4/5-0.5 according to their types of glass fibers, thickness of GI and stacking sequence. Quasi-static indentation (QSI) tests were performed according to ASTM D6264 using hemispherical crosshead at 5 mm/min speed rate. It was found that both unidirectional and woven systems of FML 1/2-2 exhibited the highest energy absorption capacity, with enhancement of 28 times and 11 times more than UGFRP and WGFRP composite, respectively. At maximum compression, FML 2/3-1 displayed the highest ultimate load, while FML 1/2-2 displayed the highest displacement for both fiber systems. Damage area inspection revealed severe matrix crack, fiber fracture and delamination upon penetration and perforation.
Application of Empirical mode Decomposition with Wavelets Support Vector Machine in time Series Data
Authors:   Technical Foundation Department, University Kuala Lumpur, Pasir Gudang, Malaysia., Rafidah* A. , Shabri Ani ,   Mathematics Department, University Technology Malaysia, Johor Bahru, Malaysia., Mazuin Ernie ,   Instrumentation & Control Engineering Department, University Kuala Lumpur, Pasir Gudang, Malaysia.
Published: January 2020

This paper mainly discussed on the forecast of Thailand tourist visiting Malaysia. This paper proposed a three-stage technique in which the empirical mode decomposition (EMD) is combined with wavelet methods and support vector machine model. We used the proposed technique, EMD_WSVM to forecast two ASEAN country tourism timeseries. Detail experiments are conducted for the proposed method, in which there is a comparison between the EMD_WSVM, WSVM and SVM methods. The proposed EMD_WSVM model is determined to be dominant to the other methods in predicting the number of tourist arrivals.
Actual Interactions for Component-Based Software using Straight and Circuitous Links
Authors:   Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India., Tiwari* Umesh Kumar , Kumar Santosh ,   Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
Published: January 2020

Interaction and integration complexities of various pieces of codes play a vital role in the overall behavior of software. As the code count increases the interaction level of software also increases as per the requirements of the software. In this paper we propose a metric to assess the actual number of interactions made by components in component-based software. On the basis of interactions among components we define an Interaction-graph. Interaction-graph contains ‘Links’ and ‘Components’. To assess the actual interactions we define inner and outer interactions of particular components. Links are further categorized as straight and circuitous links. Proposed interaction metric is easy to calculate and contains information about the component which is used by designers and developers of the component-based software for future development.
Descriptive Analytics on Crime in India using Clustering Techniques
Authors:   Department of Computer Science and Engineering, Visveswaraya Technological University, Bangalore, India., Devi* J Vimala , K S Dr Kavitha ,   Department of Computer Science and Engineering, Visveswaraya Technological University, Bangalore, India.
Published: January 2020

Understanding the perspectives of crime happenings by exploiting crime data helps early detection and prevention of crimes. Ruling Government and Policing systems are aware the importance of realising the changing aspects of crime. As technology is advanced, there are many ways to comprehend the trends and the patterns of crime activities. The paper presents a hybrid model using AGNES and K-means clustering algorithms to focus on different views and representation of crime in India and aims to recognize the crime types that cluster the regions of India. Accuracy of model is measured using log loss and the patterns and trends in crime are presented.
Enhancement of QOS for Multi-user Environment in Cognitive Radio Network
Authors:   Associate Professor, Department of Electronics and Communications, Saveetha School of Engineering, Chennai, India., Chandra* I. , Subitha D. ,   Assistant Professor, Department of Electronics and Communications, Saveetha School of Engineering, Chennai, India., Babu K Sarath ,   UG Scholar, Department of Electronics and Communications, Saveetha School of Engineering, Chennai, India., Navaneethan C. ,   Associate Professor, School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India., Meenatchi S. ,   Associate Professor , School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India., Thanapal P. ,   Associate Professor , School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India.
Published: January 2020

CRT(Cognitive radio technology) enhances the utilization of available better spectrum in the channel. So to provide better Quality of Service for the user in this paper the Localizability aided localization(LAL) and Water filling Methodologies are proposed. This paper analyzes the routing protocols like AOMDV(Ad-hoc On-demand Multi-path Distance Vector routing), DSR (Dynamic Source Routing) and AODV (Ad-hoc On-Demand Distance Vector). Considering the AODV as the existing routing protocol, this paper proposed with AOMDV and DSR routing algorithms for Localizability aided localization(LAL) and Water filling methodologies respectively. Current work on improving Quality of Service, the different routing protocols are proposed in this paper. The main factors analyzing in this paper are throughput, PDR( packet delivery ratio) and Delay. The simulation results will confirm the accuracy of the proposed techniques.
Maintenance and Repair of Engineering Systems of an Apartment Building
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Z.V.* Smirnova , A.A. Rudenko ,   Federal State Budget Educational Institution of Higher Education «Togliatti State University, O.T. Cherney ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., N.V. Provalenova ,   Nizhny Novgorod State University of Engineering and Economics, Russian Federation., N.V. Bystrova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,, A.A. Permovsky ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., E.A. Semakhin ,   Minin Nizhny Novgorod State Pedagogical University Nizhny Novgorod, Russian Federation.
Published: January 2020

Improving the well-being of citizens implies a further solution to the housing problem, both through new construction and, to a large extent, through the reconstruction, modernization and overhaul of existing residential buildings, i.e., the reconstruction and renovation of the housing stock of old buildings. The article reveals the technologies in a qualitative and effective inspection of buildings, in improving the organization of technical inspection of buildings of the housing stock to perform work on major repairs, modernization and reconstruction. The purpose of the article is to organize a technical survey of housing stock buildings to perform works on engineering systems, modernization and reconstruction.The analysis of activity on maintenance and repair of engineering systems of an apartment building is carried out. The ways of solving the problems associated with the repair of engineering systems of an apartment building are considered.
Research and forecasting of landslide phenomena of the Dniper zone of Kyiv based on the remote sensing data and geomorfological studies
Authors: Pazynych Nataliia
Published: January 2020

The article presents the results of the investigation of landslides in the right bank of the Kyiv, on the basis of space images, digital elevation models using two geomorphological methods. The result of the complexization of geomorphological methods was the compilation of a synthetic map of dynamic relief plastics, which reflects the structure of linear and area elements of the relief. The conducted comparison of geomorphological constructions with landslide bodies allowed to identify zones and areas of increased danger of landslide formation.
The present area of the Dniprovsky reservoirs
Authors: Vyshnevskyi Viktor , Shevchuk Sergii , Bondar Andrii , Shevchenko Iryna
Published: January 2020

Having used the developed algorithm, a modern area of the Dnipro reservoirs has been established. The obtained area almost in all cases occurred much less than indicated in the reference sources.
Full Resolution Dense Depth Recovery by Fusing RGB Images and Sparse Depth
Authors: Liu Guoliang
Published: January 2020

Full resolution depth is required in many realworld engineering applications. However, exist depth sensorsonly offer sparse depth sample points with limited resolutionand noise, e.g., LiDARs. We here propose a deep learningbased full resolution depth recovery method from monocularimages and corresponding sparse depth measurements of targetenvironment. The novelty of our idea is that the structure similarinformation between the RGB image and depth image is used torefine the dense depth estimation result. This important similarstructure information can be found using a correlation layerin the regression neural network. We show that the proposedmethod can achieve higher estimation accuracy compared tothe state of the art methods. The experiments conducted on theNYU Depth V2 prove the novelty of our idea.
PENGARUH GAME INTERAKTIF TERHADAP PENINGKATKAN PEMAHAMAN KONSEP MATEMATIS SISWA SMP
Authors: Cahya Riyan Cahya
Published: January 2020

Penelitian ini dengan tujuan untuk mengetahui pengaruh penerapan game interaktif berbantu aplikasi kahoot dapat meningkatkan pemahaman konsep. Adapun metode yang digunakan pada penelitian adalah penelitianeksperimen dengan macam metode eksperimenyang digunakanialahUji T. Hasil penelitian yang telah dilakukan yaitu dan dapat disimpulkan bahwa terdapat perbedaaan atau pengaruh game interaktif aplikasi Kahoot untuk meningkatkan pemahaman konsep matematis, penerapan game interaktif apliksi kahoot lebih baik dari pada pembelajaran dengan menggunakan pembelajaran konvensional dalam meningkatkan kemampuan pemahaman konsep matematis dalam mengerjakan soal dengan menggunakan game interaktif apliksi kahoot dari pada mengerjakan soal menggunakan buku.
PENINGKATAN KREATIVITAS BELAJAR MATEMATIKA MELALUI PEMBELAJARAN PROBLEM SOLVING
Authors: Yanuarto Wanda Nugroho
Published: January 2020

The aim of this research’s are : 1) giving opportunity for asking the material what given by the lecturer, 2) giving the alternative how to solve the problem, 3) giving the stimulus of the student for show and understanding the idea, 4) giving the opportunity for see and find the giving solution of problem and 5) giving the stimulus to take the resk. This research is use the Problem Solving Education for increasing the creativity of study math in Mathematic subject in Muhammadiyah University of Purwokerto. And the result of this research’s are : 1) Reaching the knowledge of understanding the material of mathematic, 2) have the skill of show their suggestion and respecting some suggestion of their friends, 3) have the knowledge to see and problem solving to do the exercise of mathematic, 4) have the ability of showing their suggestion, and 5) have the ability to take a resk and improving their ability for solving some problems in mathematic it self.
Getting it right first time: time to simplify our approach to the airway by using
our best tools first
Authors: Gibbins M , Cook TM
Published: January 2020

Deciding on the techniques and equipment to use when managing a patient’s airway during anaesthesia is a complex process. It is influenced by many factors, including the type of surgery being undertaken, patient co-morbidities, perceived risk of airway difficulty or pulmonary aspiration and the availability of more advanced equipment. While there are many guidelines for management of the unanticipated difficult airway, there are few if any for routine airway management. It is likely that current practices are heavily influenced by national and institutional norms, personal experiences and preferences of the individual anaesthetist involved.
El pueblo mapuche frente al estado chileno. El nuevo activismo indígena en la época de la globalización
Authors: Posern-Zieliński Aleksander
Published: January 2020

El artículo fue publicado originalmente sin resumen.
Las prácticas crediticias en el contexto de una comunidad indígena y su economía
Authors: Hummel Agata
Published: January 2020

El artículo fue publicado originalmente sin resumen.
Ceftazidime-avibactam: new rules for the game against multidrug-resistant gram-negative bacteria
Authors: Kozlov Roman S. , Stetsiouk Olga U. , Andreeva Irina V.
Published: January 2020

The rapid spread of multidrug-resistant Gram-negative bacteria in hospital settings all over the world makes a demand for the new options to overcome antimicrobial resistance. Ceftazidime-avibactam is the first approved antibiotic that contains a new beta-lactamase inhibitor with unique properties. This review provides insight into the spectrum of activity, pharmacological characteristics, data on efficacy and safety of ceftazidime-avibactam obtained from the clinical trials and real clinical practice, as well as prospects for further studies and clinical application of this new antimicrobial agent.
Daptomycin in the treatment of infective endocarditis
Authors: Popov Dmitriy A.
Published: January 2020

This review characterizes daptomycin as a highly effective lipopeptide antibiotic being active against Gram-positive microorganisms, including multidrug resistant strains. The data reflecting the up-to-date daptomycin-based approaches to antimicrobial therapy of infective endocarditis which utilize this drug advantages over standard treatment regimens are presented. The data presented are illustrated with clinical cases.
Antimicrobial susceptibility testing by broth microdilution method: widely available modification
Authors: Tapalskiy Dmitry V. , Bilskiy I.A.
Published: January 2020

Objective.

To assess the possibility of standard disk application as an antibiotic source for determination of the minimal inhibitory concentrations (MICs) by serial microdilution method.
Materials and Methods.

A simple method of working solutions preparation using standard paper discs as an antibiotics source available in most microbiological laboratories is proposed. A multiple determination of antibiotic MICs for E. coli ATCC 25922 and P. aeruginosa ATCC 27853 strains was conducted.
Results.

Of the 576 MIC values determined by the modified method, 78.5% of the results corresponded to the control strains reference values, and 20.8% of the results were categorized as acceptable values.
Conclusions.

Use of standard disks as an antibiotics source for the working solutions preparation greatly simplifies a testing by serial microdilution method and makes it available to most microbiological laboratories.
Lepiej budować mosty niż ściany
Authors: Hasiuk Magdalena
Published: January 2020

Tekst przybliża fenomen teatru w więzieniu. Zwraca uwagę na zróżnicowanie jego form i zależność od wielu kontekstów: społecznych kulturowych, geograficznych, a przede wszystkim politycznych, które niekiedy mają destrukcyjny wpływ na omawiane zjawisko. Więzienie poprzez specyfikę miejsca sprawia, że cechy konstytutywne sztuki teatru: jej efemeryczność, żywa obecność oparta na spotkaniu międzyludzkim aktora i widza, praca zespołowa i praktyka artystyczna, związane z transformacją świata w różnych wymiarach ulegają wzmocnieniu. Więzienie poprzez nieprzychylność warunków dla życia przebywających w nim osób stanowi wręcz wymarzone pole dla teatru, którego istotą jest „przekraczać” rzeczywistość, dystansować się względem niej, ukazywać jej ukryte oblicze, ujawniać rządzące nią mechanizmy, a dzięki temu przekształcać świat oraz stymulować na różnych planach rozwój człowieka: aktora i widza. W kontekście więziennym aspekt artystyczny pracy teatralnej o wiele wyraźniej niż np. w tzw. teatrze głównego nurtu wiąże się z aspektem ontologicznym, egzystencjalnym. Autorka postuluje także wprowadzanie terminów: „teatru tworzonego w więzieniu” zamiast „teatru więziennego” oraz zastępowanie w miarę możliwości określeń osadzeni/osadzone, więźniowie/więźniarki przez aktorzy/aktorki, twórcy/twórczynie, „współpracownicy/współpracowniczki z więzienia”.
To nie jest jedna historia
Authors: Thorpe Jess
Published: January 2020

Jess Thorpe przedstawia genezę wprowadzenia do szkockich więzień post-dramatycznej praktyki teatralnej określanej jako devised theatre (teatr rozszerzony). Termin oznacza kolektywną pracę nad przedstawieniami teatralnymi z zastosowaniem metody improwizacji. Autorka prezentuje poszczególne etapy procesu powstawania spektakli. Przytacza przykłady ćwiczeń, podaje wskazówki i dzieli się doświadczeniami. Zwraca uwagę na demokratyczny wymiar pytań stosowanych jako część metody pracy devised theatre. Autorka tekstu, a równocześnie twórczyni opowiada się za wielością głosów, wersji, narracji. Celem działań teatralnych prowadzonych przez Thorpe z kobietami i mężczyznami przebywającymi w szkockich więzieniach jest postrzeganie sztuki jako wspierającej w „budowaniu własnej tożsamości” osób mieszkających za więziennymi murami oraz kreowanie kolektywności opartych na twórczym dialogu. Korzyści z pracy w więzieniach mogą również czerpać artyści. Jedną z nich jest wzmocnienie wiary w „transformacyjną moc sztuki”.
Oto Ja: Semiotyka maski w pracy amerykańskiego zespołu Geese Theatre Company
Authors: Bergman John
Published: January 2020

John Bergman jako twórca zespołu teatralnego Geese Theatre Company USA i współtwórca Geese Theatre Company UK od prawie czterdziestu lat, w różnych miejscach na świecie, na wielu kontynentach (Ameryka Północna, Europa, Australia) prowadzi terapię dla osadzonych mężczyzn, kobiet i młodocianych, wykorzystując transformacyjne możliwości teatru. W publikowanym tekście pokazuje swoją drogę twórczą od pracy artystycznej w teatrach alternatywnych do działań dramaterapeutycznych i artystycznych prowadzonych w więzieniach. Odsłania kulisy narodzin autorskiej metody pracy z maskami (metody Geese Theatre Company) i jej ogromne znaczenie w pracy teatralnej z więźniami, zarówno w Stanach Zjednoczonych, na wyspach brytyjskich (Geese Theatre Company UK), jak i w innych krajach. Wyjaśnia, że stosowana przez niego i jego zespoły metoda pracy teatralnej narodziła się z konkretnego doświadczenia – z międzyludzkiego spotkania, w którym połączenie wcześniej nieuwzględnianych indywidualnych perspektyw doprowadziło do odkrycia zaskakujących i skutecznie działających rozwiązań. Wkład osób osadzonych oraz ich bliskich w narodziny podstawowego narzędzia pracy, jakim dla Geese Theatre Company jest maska, pozostaje niekwestionowany.
Odkluczanie i Kobietostan – kolektywny charakter pracy teatralnej osób pozbawionych wolności
Authors: Bresler Agnieszka
Published: January 2020

Agnieszka Besler, realizująca projekty terapeutyczne w zakładach karnych: „Odkluczanie” i „Kobietostan”, prezentuje metodę stosowaną w pracy teatralnej w polskich więzieniach, zarówno męskich (Wrocław), jak i kobiecych (Krzywaniec). Polega ona na połączeniu i niezbędnym dopełnianiu się oddziaływań indywidualnych i grupowych. Opisując etapy pracy proponowanej teatralnym zespołom w więzieniach, Bresler wskazuje na te momenty w procesie twórczym, które wiązały się z sytuacjami kryzysowymi i wymagały kolektywnego znalezienia rozwiązań. W wielu sytuacjach ostatecznie okazywało się, że trudne momenty, niesprzyjające okoliczności i pewne (ale nie całkowicie ograniczające pracę!) trudności cementowały zespoły i pomagały im w osiągnięciu innego poziomu w pracy artystycznej. Paradoksalnie, czynniki ograniczające działały stymulująco nie tylko na indywidualnych twórców, ale także na relacje między nimi. Według autorki teatr tworzony w więzieniu pełni rolę pomostu, dzięki któremu możliwe staje się inne postrzeganie osoby odbywającej karę pozbawienia wolności oraz jej rzeczywisty powrót do społeczeństwa po wyjściu z więzienia. Teatr w opisywanej tutaj praktyce jest przede wszystkim aktywnym narzędziem indywidualnej przemiany. Umożliwia też odbudowę pozytywnych relacji międzyludzkich. Teatr potrafi wpłynąć na zmianę postawy społeczeństwa wobec osób osadzonych i opuszczających zakłady karne. Autorka podkreśla ogromne, pozytywne znaczenie prezentacji przedstawień tworzonych w więzieniach poza nimi na wolności oraz poza kontekstem sztuki więziennej.