bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review on Energy Policies and Scenario in India
Authors: Goyal Shweta , Mishra Sachin , Bhatia Anamika
Published: March 2020

Now a day’s Energy plays a vital role in every sector like agriculture, industry, transport, commercial and domestic. Energy is the primary key for development of the country. Only two types are sources for energy generations are presents that are Non Renewable and Renewable Sources. But due to climate change and fossil fuel depletion renewable sources are becoming major reason for focusing for energy generation. Renewable Energy (RE) generation is useful to decrease pollution, global warming etc. Although the high cost of the renewable energy generation is the main barrier in this field but there are many schemes which plays a very important role in this field. These policies encourage the consumer to used renewable sources for energy. This paper introduces the main energy challenges in India and different types of energy policies existing to overcome that challenges. What the institutional programs presenting in India for energy policies are.
Self-Tuning VGPI Controller Based on ACO Method Applied for WTGS system
Authors: Mansour Madaci , Kerdoun Djallel
Published: March 2020

The stability and the fast response are two parameters to evaluate the efficiency of any system, and the acknowledgement of the mathematic model studied and its parameters are strongly required. In order to build the regulation and the control of the system, different methods are used. Some are traditional (PI, PD, PID…); whereas, others are modern (Fuzzy logic, neural networks, statistical algorithms, genetic algorithms, VGPI and so on…).
In this paper, we focused on the presentation of a new method which we call the scheduling regulation based on a particle swarm optimization. A stochastic diffusion search method that takes inspiration from the social behaviors of real ants with their environment. Ant colony optimization algorithms (ACO) presents a promising performance which is a self-organized regulation system with no need to the acknowledgment of both the mathematic model and the parameters of the systems from a side, and it can insure the stability and the fast response of the system from another side.
Influences of Hybrid Cooling Mechanism through PV System under Solar Simulator Testing
Authors: Irwan Y.M. , Amelia A.R. , Irwanto M. , Leow W.Z. , Syafiqah Z. , Safwati I.
Published: March 2020

An increasing efficiency of the solar system can be improved by using hybrid cooling mechanism. This paper presents the impact of hybrid cooling mechanism on PV panel under indoor testing with varying solar intensity. Thus, the fabrication of a solar simulator for indoor testing reacts as the space solar radiation is described. The performance of PV panel which attached to a hybrid cooling mechanism compared with PV panel without cooling mechanism under variation of average solar radiation. Experimental tests were carried out for various average solar radiations by varying the number of lamps and/or the lamp-to-area distance. Without altering the spectral distribution, the characteristic of current-voltage of PV panel was analysed under average solar radiation which varied from 202 W/m2 to 1003 W/m2. As the result, the PV panel with hybrid cooling system explored to generate more power output with decreasing in PV panel temperature. About 15.79 % increment of power output generated by PV panel with cooling at maximum average solar radiation. Furthermore, the PV panel temperature also can be decreased about 10.28 % respectively. The combination of DC fan and water pump as cooling mechanism plays an important role in generating efficient power output from PV panel.
Induction Motor Drive based on Efficiency Optimisation andDrive Loss Minimization in Real-Time Control of Linkage Flux of Drive Reference
Authors: Baroogh Farshid Abdolahnejad , Gheydi Milad , Farhadi Payam
Published: March 2020

Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.
Improved Color Satellite Image Segmentation Using Tsallis Entropy and Granular Computing
Authors: Kumar. N Jagan , L Agilandeeswari. , M Prabukumar.
Published: March 2020

The research work is to improve the segmentation of the color satellite images. In this proposed method the color satellite image can be segmented by using Tsallis entropy and granular computing methods with the help of cuckoo search algorithm. The Tsallis and granular computing methods will used to find the maximum possibility of threshold limits and the cuckoo search will find the optimized threshold values based on threshold limit that is calculated by the Tsallis entropy and granular computing methods and the multilevel thresholding  will used for the segmentation of color satellite images based on the optimized threshold value that will find by this work and these methods will help to select the optimized threshold values for multiple thresholding effectively.
Dynamic Key Matrix of Hill Cipher Using Genetic Algorithm
Authors: Siahaan Andysah Putera Utama
Published: March 2020

The matrix in Hill Cipher was designed to perform encryption and decryption. Every column and row must be inserted by integer numbers. But, not any key that can be given to the matrix used for the process. The wrong determinant result cannot be used in the process because it produces the incorrect plaintext when doing the decryption after the encryption. Genetic algorithms offer the optimized way to determine the key used for encryption and decryption on the Hill Cipher. By determining the evaluation function in the genetic algorithm, the key that fits the composition will be obtained. By implementing this algorithm, the search of the key on the Hill Cipher will be easily done without spending too much time. Genetic algorithms do well if it is combined with Hill Cipher.
A Fusion Based Visibility Enhancement of Single Underwater Hazy Image
Authors: Borkar Samarth , Bonde Sanjiv V.
Published: March 2020

Underwater images are prone to contrast loss, limited visibility, and undesirable color cast. For underwater computer vision and pattern recognition algorithms, these images need to be pre-processed. We have addressed a novel solution to this problem by proposing fully automated underwater image dehazing using multimodal DWT fusion. Inputs for the combinational image fusion scheme are derived from Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) for contrast enhancement in HSV color space and color constancy using Shades of Gray algorithm respectively. To appraise the work conducted, the visual and quantitative analysis is performed. The restored images demonstrate improved contrast and effective enhancement in overall image quality and visibility. The proposed algorithm performs on par with the recent underwater dehazing techniques.
Workload Aware Incremental Repartitioning of NoSQL for Online Transactional Processing Applications
Authors: Bhunje Anagha , Ahirrao Swati
Published: March 2020

Numerous applications are deployed on the web with the increasing popularity of internet. The applications include, 1) Banking applications,
 2) Gaming applications, 3) E-commerce web applications. Different applications reply on OLTP (Online Transaction Processing) systems. OLTP systems need to be scalable and require fast response. Today modern web applications generate huge amount of the data which one particular machine and Relational databases cannot handle. The E-Commerce applications are facing the challenge of improving the scalability of the system. Data partitioning technique is used to improve the scalability of the system. The data is distributed among the different machines which results in increasing number of transactions. The work-load aware incremental repartitioning approach is used to balance the load among the partitions and to reduce the number of transactions that are distributed in nature. Hyper Graph Representation technique is used to represent the entire transactional workload in graph form. In this technique, frequently used items are collected and Grouped by using Fuzzy C-means Clustering Algorithm. Tuple Classification and Migration Algorithm is used for mapping clusters to partitions and after that tuples are migrated efficiently.
SLIC Superpixel Based Self Organizing Maps Algorithm for Segmentation of Microarray Images
Authors: Kondisetty Durga Prasad , Hussain Mohammed Ali
Published: March 2020

We can find the simultaneous monitoring of thousands of genes in parallel Microarray technology. As per these measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, Intensity extraction, Enhancement and Segmentation are important steps in microarray image analysis. This paper gives simple linear iterative clustering (SLIC) based self organizing maps (SOM) algorithm for segmentation of microarray image. The clusters of pixels which share similar features are called Superpixels, thus they can be used as mid-level units to decrease the computational cost in many vision applications. The proposed algorithm utilizes superpixels as clustering objects instead of pixels. The qualitative and quantitative analysis shows that the proposed method produces better segmentation quality than k-means, fuzzy c-means and self organizing maps clustering methods.
Building Fault Tolerance Within Wsn- A Topology Model
Authors: Krishna M. Sai Rama , Gayathri Ch. Jnana , Rao K. Laxmi Pallavi
Published: March 2020

Wireless Sensor network plays a crucial role which helps in visualizing, processing, and analyzing the information wirelessly.  WSN is a network which consists of huge amount of sensor devices which are of low cost and low powered also known as sensor nodes. These type of networks are generally used in real time applications such as monitoring of environmental conditions, militaries, industries etc.,.but the problem that exists in WSN is may be due to different failures such as node failure, link failure, sink failure, interference, power dissipation and collision. If these faults are unable to handle then the desired network criteria’s may not be reached properly which results in inefficiency of the network. So, the main idea behind the investigation is to form a different networking topology which works in the event of failure
Using FPGA Design and HIL Algorithm Simulation to Control Visual Servoing
Authors: Abdulrazak Lway Faisal , Aljawary Zaid A.
Published: March 2020

This is a novel research paper provides an optimal solution for object tracking using visual servoing control system with programmable gate array technology to realize the visual controller. The controller takes in account the robot dynamics to generate the joint torques directly for performing the tasks related to object tracking using visual servoing. Also, the notion of dynamic perceptibility provides the capability of the designed system to track desired objects employing direct visual servoing technique. This idea is assimilated in the suggested controller and realized in the programmable gate array. Additionally, this paper grants an ideal control framework for direct visual servoing robots that incorporates dynamic perceptibility features. With the aim of evaluating the proposed FPGA based architecture, the control algorithm is applied to Hardware-in-the-loop simulation (HIL) set up of three degrees of freedom rigid robotic manipulator with three links. Furthermore, different investigations are performed to demonstrate the behavior of the proposed system when a trajectory adjacent to a singularity is attained.
Study and optimization of a renewable system of small power generation
Authors: Hadjidj Mohammed Salim , Faouzi Bibi Triki , Faouzi Didi
Published: March 2020

In this paper, a study was conducted on the sustainable development of solar and wind energy sources. The approach adopted is to exploit the two renewable resources by arriving to determine optimal configurations of photovoltaic and / or wind energy system with storage to provide electricity to a self-contained residential apartment located in the city of Tlemcen , in Algeria. The Tlemcen site showed a more favourable trend to use the photovoltaic system alone on the hybrid PV / wind system because of the low wind speeds of this site. The calculation method used is based on the monthly averages for ten consecutive years, data collected by the Tlemcen Zenâta weather station in order to have a better reliability analysis of an electric power generation system. In addition, the methods used in this study can be used to determine the optimal size of the most economical hybrid system that corresponds to any site in the world and for any requested load.

 
Analysis and Implementation of Unipolar PWM Strategies for Three Phase Cascade Multilevel Inverter Fed Induction Motor Drive
Authors: Bhukya Ravikumar , Kumar P. Satish
Published: March 2020

This paper presents unipolar pulse width modulation technique with sinusoidal sampling pulse width modulation are analyzed for three-phase five-level, seven-level, nine-level and eleven-level cascaded multi-level inverter. The unipolar PWM method offers a good opportunity for the realization of the Three-phase inverter control, it is better to use the unipolar PWM method with single carrier wave compared to two reference waves. In such case the motor harmonic losses will be considerably lower.The necessary calculations for generation of unipolar pulse width modulation strategies have presented in detail. The unipolar SPWM voltage switching scheme is selected in this paper because this method offers the advantages of effectively doubling the switching frequency of the inverter voltage. The cascaded multi level inverter fed induction motor is simulated and compared the total harmonic distroction for all level (five-level, seven-level, nine-level and elevel-level)of the inverter. Theoretical investigations were confirmed by the digital simulations using MATLAB/SIMULINK software.
Early Detection of High Blood Pressure and Diabetic Retinopathy on Retinal Fundus Images Using CBRIR Based on Lifting Wavelets
Authors: Tadasare S. S. , Pawar S. S.
Published: March 2020

In this paper we present a lifting wavelet based CBRIR image retrieval system that uses color and texture as visual features to describe the content of a retinal fundus images. Our contribution is of three directions. First, we use lifting wavelets 9/7 for lossy and SPL5/3 for lossless to extract texture features from arbitrary shaped retinal fundus regions separated from an image to increase the system effectiveness. This process is performed offline before query processing, therefore to answer a query our system does not need to search the entire database images; instead just a number of similar class type patient images are required to be searched for image similarity. Third, to further increase the retrieval accuracy of our system, we combine the region based features extracted from image regions, with global features extracted from the whole image, which are texture using lifting wavelet and HSV color histograms. Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time. The experimental evaluation of the system is based on a db1 online retinal fundus color image database. From the experimental results, it is evident that our system performs significantly better accuracy as compared with traditional wavelet based systems. In our simulation analysis, we provide a comparison between retrieval results based on features extracted from the whole image using lossless 5/3 lifting wavelet and features extracted using lossless 9/7 lifting wavelet and using traditional wavelet. The results demonstrate that each type of feature is effective for a particular type of disease of retinal fundus images according to its semantic contents, and using lossless 5/3 lifting wavelet of them gives better retrieval results for almost all semantic classes and outperform 4-10% more accuracy than traditional wavelet.
Recycling of Industrial Waste Water for the Generation of Electricity By Regulating the Flow Control Sensor using IoT
Authors: R Kaviyaraj. , S Karthika M , L.A Jeni Narayanan , . Saleekha
Published: March 2020

The paper focuses on generating the renewable energy source from industrial waste water effluents. Utilizing the industrial waste water in order to generate electricity, a flow control sensor has been installed at the outlet of the tunnel which passes the waste water to the turbine. As per the need, the generation of electricity varies with respect to the flow through the use of flow control sensor. The generated electricity is then used for powering the street lights, gardening and run-way paths, during night time. The flow control sensor when integrated using IoT and cloud storage facilitates efficiency and scalability thereby providing massive utilization of energy usage.
Coding Schemes for Implementation of Fault Tolerant Parrallel Filter
Authors: Siddhartha Nutenki , Renuka G.
Published: March 2020

Digital filters are utilized as a one of flag handling and correspondence frameworks. At times, the unwavering quality of those frameworks is basic, and blame tolerant channel executions are needed. Throughout the years, numerous systems that endeavor the channels' structure and properties to accomplish adaptation to internal failure have been proposed. As innovation scales, it empowers more unpredictable frameworks that join many channels. In those perplexing frameworks, it is regular that a portion of the channels work in parallel. A plan in view of big rectification coding has been as of late proposed to protect parallel channels. In that plan, each channel is deal with as a bit, and excess channels that go about as equality check bits are acquainted with distinguish and rectify blunders. In this short, applying coding systems to secure parallel channels is tended to in a more broad manner. This decreases the assurance overhead and makes the quantity of excess channels autonomous of the quantity of parallel channels. The proposed technique is first described and then illustrated with two case studies. Finally, both the effectiveness in protecting against errors and the cost are evaluated for a field-programmable gate array implementation.
A Secure Data Transmission Scheme using Asymmetric Semi-Homomorphic Encryption Scheme
Authors: Nagavalli S. , Ramachandran G.
Published: March 2020

The compressive detecting based information accumulation accomplishes with high exactness in information recuperation from less inspection which is available in sensor nodes. In this manner, the existing methods available in the literature diminish the information gathering cost and delays the existence cycle of WSNs. In this paper, a strong achievable security model for sensor network applications was initially proposed. At that point, a secure data collection conspire was displayed based on compressive detecting, which improves the information protection by the asymmetric semi-homomorphic encryption scheme, and decreases the calculation cost by inadequate compressive grid. In this case, particularly the asymmetric mechanism decreases the trouble of mystery key circulation and administration. The proposed homomorphic encryption permits the in-arrange accumulation in cipher domain, and in this manner improves the security and accomplishes the adjustment in system stack. Further, this paper focuses on estimating various network performances such as the calculation cost and correspondence cost, which remunerates the expanding cost caused by the homomorphic encryption. A real time validation on the proposed encryption scheme using AVISPA was additionally performed and the results are satisfactory.
Car following and lane changing behavior using NGSIM and China data
Authors: Rahman Md Mijanoor , Ismail Mohd. Tahir , Ali Majid Majahar
Published: March 2020

Road safety is imperative theme because increasing road fatalities deaths in world. Besides road fatalities, traffic jam is increasing, human is frustrated for uncomfortable journey. The roads safety and passengers comfortable of the roadway system are vastly depended on the Car following (CF) and Lane Changing (LC) features of drivers. CF and LC theory describe the driver behavior by following paths in a traffic stream. In this research, researchers have compared to US-101 Next-Generation-Simulation (NGSIM) data with Beijing forth ring road, China freeways real trajectory data by CF and LC models. The CF data has been calibrated with Genetic Algorithm (GA). Reproducing Kernel Hilbert Space (RKHS) is generated the LC beginning and finishing points. Findings revealed that the CF parameters as maximum acceleration, minimum deceleration, free speed, minimum headway and stopping distance percentages of Chinese data are 74.71%, 79.95%, 66.57%, 0.018% and 65.65% respectively of NGSIM data. After completing the comparison, researchers have been found out optimization safety and comfortable acceleration-deceleration and LC beginning-finishing points of driver behavior. Here this analysis generates the driver behavior at real traffic network on the express highways of specific two roads US-101 (NGSIM) data and Chinese freeways data. Since NGSIM data is well simulated so road traffic is more safety and comfortable for journey.
Theory and development of magnetic flux leakage sensor for flaws detection: A review
Authors: Sharif Nor Afandi , Ramli Rizauddin , Mohamed Abdullah Zawawi , Zaki Nuawi Mohd
Published: March 2020

This paper presents a review of state-of-art in the Magnetic Flux Leakage (MFL) sensor technology, which plays an important role in Nondestructive Testing (NDT) to detect crack and corrosion in ferromagnetic material. The demand of more reliable MFL tools and signal acquisition increase as it has a direct impact on structure integrity and can lead to be major catastrophic upon questionable signal analysis. This is because the size, cost, efficiency, and reliability of the extensive MFL system for NDT applications primarily depend on signal acquisition as a qualitative measure in producing a trustworthy analysis. Therefore, the selection of appropriate tools and methodology plays a major role in determining the comprehensive performance of the system. This paper also reviews an Artificial Neural Network (ANN) and Finite Element Method (FEM) in developing an optimum permeability standard on the test piece.  
Solving optimal reactive power problem by improved variable mesh optimization algorithm
Authors: Lenin Kanagasabai
Published: March 2020

In this work Improved Variable Mesh Optimization Algorithm (IVM) has been applied to solve the optimal reactive power problem. Projected Improved VMO algorithm has been modeled by hybridization of Variable mesh optimization algorithm with Clearing-Based Niche Formation Technique, Differential Evolution (DE) algorithm. Mesh formation and exploration has been enhanced by the hybridization. Amongst of niche development process, clearing is a renowned method in which general denominator is the formation of steady subpopulations (niches) at all local optima (peaks) in the exploration space. In Differential Evolution (DE) population is formed by common sampling within the stipulated smallest amount and maximum bounds. Subsequently DE travel into the iteration process where the progressions like, mutation, crossover, and selection, are followed. Proposed Improved Variable Mesh Optimization Algorithm (IVM) has been tested in standard IEEE 14,300 bus test system and simulation
results show the projected algorithm reduced the real power loss extensively.
Vehicle accident management and control system using MQTT
Authors: Senthilkumar Sudha , Brindha K. , Bhandari Shashank
Published: March 2020

The quick development of innovation has made our lives less demanding. Innovation has additionally expanded activity risks and street mishaps occur very often which cause tremendous death toll and damage to property on account of poor response from the people in charge of managing such incidents. The mishap recognition undertaking will give an ideal solution for this problem. An accelerometer or a Tilt Sensor can be used as part of an auto caution application with the goal that unsafe driving can be identified. It can be utilized as a crash or rollover finder of the vehicle amid and after a crash. With signals from a sensor, a serious situation because of an accident can be avoided or attended to at the earliest. At the point of time when a vehicle meets with an accident or an auto moves over, the tilt sensor recognizes the flag and promptly sends it to the microcontroller. The microcontroller sends the alarm message through the IoT Module including the location of the accident through the GPS Module to the police or control group by publishing it over the cloud. So, the crisis enable group can promptly follow the area through the GPS Module, subsequent to receiving and accepting the data. The area can likewise be seen on the Google maps. Vital move can be made if this data reaches the control group in time. This venture is valuable in recognizing the accident with the use of sensors. As a future execution, we can add a remote webcam to the current system in order to capture pictures of the scene of the accident.
Simplified down sampling factor based modified SVPWM technique for cascaded inverter fed induction motor drive
Authors: Bhukya Ravi Kumar , Kumar P. Satish
Published: March 2020

This paper presents a rivew, investigation and performance analysis of novel down samples factor based modified space vector PWM is called clamping SVPWM technique for cascaded Multilevel Invereter fed to Induction motor drive. In this paper the reference sine wave generated as in case of conventional off set injected SVPWM technique is modified by down sampling factor the reference wave by order of 10. The performance analyses of this modulation strategies are analyzed by apply for five level, seven level, nine level and eleven level inverter. The performance analysis of cascaded inverter interms of line voltage, stator current, speed, torque and total harmonic distortion. The results are depicting that PD PWM is more effective among the four proposed PWM technique. It is observed that the CSV Pulse width modulation ensures excellent, close to optimized pulse distribution results compared to SPWM technique and also 11-level inverter beter performance in case of low THD and better foundemental output voltages comapared to 5, 7, 9-level inverter. The proposed technique has been simulated using MATLAB/SIMULINK software. This proposed technique can be applied to N-level multilevel Inverter also.
Trilateration based localization method using mobile anchor in wireless sensor networks
Authors: Kavitha M.G. , Kalimuthu Vinoth Kumar , Jayasankar T.
Published: March 2020

Localization in wireless sensor networks (WSNs) is essential in many applications like target tracking, military applications and environmental monitoring. Anchors which are equipped with global positioning system (GPS) facility are useful for finding the location information of nodes. These anchor nodes may be static or dynamic in nature. In this paper, we propose mobile anchors assisted localization algorithm based on regular hexagons in two-dimensional WSNs. We draw a conclusion that the number of anchor nodes greatly affect the performance of localization in a WSN. An optimal number of anchor nodes significantly reduces the localization error of unknown nodes and also guarantees that unknown nodes can obtain high localization accuracy. Because of the mobility of anchor nodes high volume of sensing region is covered with less period of time and hence the coverage ratio of the proposed algorithm increases. Number of communications also decreases for the reason that the system contains loge (n) number of anchor nodes which leads to less energy consumption at nodes. Simulation results show that our LUMAT algorithm significantly outperforms the localization method containing single anchor node in the network. Movement trajectories of mobile anchors should be designed dynamically or partially according to the observable environment or deployment situations to make full use of real-time information during localization. This is the future research issue in the area of mobile anchor assisted localization algorithm.
A computer vision-based weed control system for low-land rice precision farming
Authors: Olaniyi Olayemi Mikail , Daniya E. , Kolo J. G. , Bala J. A. , Olanrewaju A. E.
Published: March 2020

Agricultural sector is one of the economic pillars of developing nations, because it provides means of boosting gross domestic profit. However, weeds pose a threat to food crop by competing with it for nutrients and undermining the profit to be made from it. The treatment of these weeds is necessary, but at minimal impact on the actual food crop. Herbicide usage is one major means of weed control, owning to the expensive and labour-intensive nature of hand weeding. Recently, the need for site specific spraying has been on the rise because of health concerns which have been raised on the effect of herbicides on food crops and the effect on the environment. Most research on the field focuses on accurately identifying the weeds whilst neglecting the weed control. In this research, we apply fuzzy logic-based expert system to control how herbicide is sprayed on low-land rice in order to reduce excessive herbicide usage. The system supplies the control with weed density (Box size) and confidence level. The values of both are then passed to the fuzzy logic control for spray decision. The Sugeno as well as Mamdani models were tested using generated values for detected weed box size and confidence levels of the computer vision. The mean absolute error obtained was 0.9 for both, and 0.3 and 0.2 respectively, for the mean square error. The error shows how accurate the system can be and with low error value, it shows that the system implementation is capable of providing control for spraying of herbicides which in turn will yield more returns for low-land rice farmers.
Top-K search scheme on encrypted data in cloud
Authors: Rani Katari Pushpa , Lakshmi L. , Sabitha Ch. , Lakshmi B. Dhana , Sreeja S.
Published: March 2020

A Secure and Effective Multi-keyword Ranked Search Scheme on Encrypted Cloud Data. Cloud computing is providing people a very good knowledge on all the popular and relevant domains which they need in their daily life. For this, all the people who act as Data Owners must possess some knowledge on Cloud should be provided with more information so that it will help them to make the cloud maintenance and administration easy. And most important concern these days is privacy. Some sensitive data exposed in the cloud these days have security issues. So, sensitive information ought to be encrypted earlier before making the data externalized for confidentiality, which makes some keyword-based information retrieval methods outdated. But this has some other problems like the usage of this information becomes difficult and also all the ancient algorithms developed for performing search on these data are not so efficient now because of the encryption done to help data from breaches. In this project, we try to investigate the multi- keyword top-k search problem for encryption against privacy breaks and to establish an economical and secure resolution to the present drawback. we have a tendency to construct a special tree-based index structure and style a random traversal formula, which makes even identical question to supply totally different visiting ways on the index, and may additionally maintain the accuracy of queries unchanged below stronger privacy. For this purpose, we take the help of vector area models and TFIDF. The KNN set of rules are used to develop this approach.
Editorial
Authors: Koyano Amayi Luiza Soares , Glicenstein Jérôme , Ishii Aline Magalhães dos Santos  Silvério , Padilha Josias
Published: March 2020

Editorial do número 25 da Revista Criação & Crítica,  Literatura e artes visuais: entre o lisível e o visível, organizado pelos editores Jérôme Glicenstein (Paris VIII), Aline Magalhães dos Santos Silvério Ishii (USP), Josias Padilha (USP/Paris VIII) e Amayi Luiza Soares Koyano (USP).
Dissonâncias, convergências
Authors: Pasinato Izumino Julia
Published: March 2020

Este artigo se propõe a analisar um autorretrato de Vivian Maier de 1971 e um poema de Ana Cristina Cesar, de Luvas de Pelica (1980), buscando mapear as coincidências, convergências e divergências entre os procedimentos formais, os elementos temáticos e os mecanismos de composição que se deixam perceber nas imagens poéticas e fotográficas. Com o olhar atento ao uso específico dos moldes dos gêneros de autorrepresentação (correspondência, diário e autorretrato) e à centralidade da operação da elipse, da sobreposição e do corte-montagem como princípios de construção das imagens, este estudo mantém como uma linha de força subterrânea a pergunta sobre as possíveis aproximações e diferenciações estruturais entre Poesia e Fotografia.
A carne das ideias
Authors: Goldfeder André
Published: March 2020

O artigo parte de um comentário a um dos trabalhos do pintor Jasper Johns dedicados ao tema da voz, Voice (1964-1967). Desse comentário extrai-se uma leitura cruzada com trabalhos de Robert Barry e Valère Novarina, que, a partir de uma região liminar da pintura, evidenciam esse campo artístico como lugar de sucessivas rearticulações ou de contínua produção de limiares e entrelaçamentos entre linguagem, corpo, espaço e pensamento.
A cor na narrativa
Authors: Almeida Luara Teixeira de , Oliveira Maria Rosa Duarte de
Published: March 2020

A partir de uma análise da relação entre o texto verbal e o visual no livro Pequeno Azul e Pequeno Amarelo de Leo Lionni (2011), este artigo tem como objetivo estabelecer um estudo intermidiático da obra, buscando compreender, principalmente, o papel da cor neste espaço narrativo, conferindo-lhe relevância em relação à história e desdobrando as suas potencialidades de sentido. Para isso, será considerada a função da cor como personagem, incorporando suas especificidades na criação de um texto mixmídia, cujos signos possuem coerência no momento em que são lidos juntos, sem que  haja subordinação entre palavra e imagem-cor.
Os dois destinos de Portugal
Authors: Mendonça Bruno Macêdo
Published: March 2020

O artigo parte de representações contidas no romance A jangada de pedra, de José Saramago, lançado no ano do ingresso de Portugal na Comunidade Econômica Europeia, para revisitar o conceito de “imagologia” de Eduardo Lourenço. Tenta-se compreender como episódios traumáticos da história portuguesa deram origem, no passado, a projetos iberistas e à produção de uma autoimagem diminuída de Portugal, em particular no que se refere à sua posição no concerto europeu de nações. Produz-se uma crítica quanto à operacionalidade do conceito de Lourenço, atentando para suas fragilidades intrínsecas, e se adota – também com base na história de Portugal, mas a partir de uma visão mais abrangente – postura moderadora, em dissonância com o posicionamento do Prêmio Nobel português. O texto é uma tentativa de estabelecer um diálogo entre História das Ideias e História tout court, no intuito de enriquecer a análise sobre o lugar que ocupa Portugal na Europa.
Trends in Telestroke Care Delivery
Authors: Sharma Richa , Zachrison Kori S. , Viswanathan Anand , Matiello Marcelo , Estrada Juan , Anderson Christopher D. , Etherton Mark , Silverman Scott , Rost Natalia S. , Feske Steven K. , Schwamm Lee H.
Published: March 2020

Background:

Telestroke provides access to vascular neurology expertise for hospitals lacking stroke coverage, and its use has risen rapidly in the past decade. We aim to characterize consultations, spoke behavior, and the relationship between spoke telestroke utilization (number of telestroke consults per year) and spoke alteplase treatment metrics in an academic telestroke network.

Methods and Results:

We analyzed prospectively collected data on all telestroke consults from 2003 to 2018. Trends in network performance and spoke characteristics were analyzed using generalized estimating equations and Kendall τβ nonparametric tests as appropriate. Unadjusted and adjusted linear regression models determined associations between telestroke utilization and treatment metrics. The network included 2 hubs and 43 spokes with 12 803 consults performed during the study period. Network growth overall was +1.8 spokes per year, and median duration of spoke participation was 7.9 years. The numbers of consults and alteplase-treated patients increased annually, even after adjusting for the number of spokes in the network (
P
<0.01 for both). Although times from last seen well to spoke emergency department arrival and to consult request increased, door-to-needle time, time from teleconsult request to callback, and time from teleconsult to alteplase administration all decreased (all
P
<0.01). With time, the network included more spokes without a Primary Stroke Center designation. In adjusted analyses, for every 10 telestroke consults requested by a spoke, the spoke door-to-needle decreased by 1.8 minutes (
P
=0.02), number of patients treated with alteplase was an additional 1.7 (
P
<0.01), and the percent of eligible patients treated with alteplase increased by 8% (
P
=0.03).

Conclusions:

Telestroke network size and utilization increased over time. Increased use of teleconsults was associated with increased and timely use of alteplase. Over time, the delivery of timely emergency care has improved significantly among emergency departments participating in this telestroke network. Replication of these findings in other networks is warranted.
Islamic Charity as (Non)Political in Contemporary Egypt
Authors: Mittermaier Amira
Published: March 2020

Whereas some Muslim-majority countries have centralized alms economies, in others Islamic charity unfolds informally. In Egypt, pious giving occurs on the margins of the state but lies at the heart of society. Egyptians’ daily charitable practices may therefore be read as political in the broad sense proposed by Hannah Arendt: efforts by ordinary citizens to shape the conditions of their collective existence. Although this Arendtian framework helps scholars to think about politics beyond the parameters of the state, even such widened notions of the political are not consistent with how pious givers in Egypt understand their practices. While attending to the poor, pious givers often orient themselves away from the social and material, foregrounding the beyond, paradise and God. Even though the “beyond” is intimately connected to the “here and now,” this decentering of the social poses a provocative challenge to the secular observer’s search for the political.
A Regime Perspective on the North Atlantic Eddy-Driven Jet Response to Sudden Stratospheric Warmings
Authors: Maycock Amanda C. , Masukwedza Gibbon I. T. , Hitchcock Peter , Simpson Isla R.
Published: March 2020

Changes to the preferred states, or regime behavior, of the North Atlantic eddy-driven jet (EDJ) following a major sudden stratospheric warming (SSW) is examined using a large ensemble experiment from the Canadian Middle Atmosphere Model in which the stratosphere is nudged toward an SSW. In the 3 months following the SSW (January–March), the North Atlantic EDJ shifts equatorward by ~3°, on average; this arises from an increased occurrence of the EDJ’s south regime and reductions in its north and central regimes. Qualitatively similar behavior is shown in a reanalysis dataset. We show that under SSW conditions the south regime becomes more persistent and that this can explain the overall increase in the EDJ latitude decorrelation time scale. A cluster analysis reveals that, following the SSW, the south EDJ regime is characterized by weaker low-level baroclinicity and eddy heat fluxes in the North Atlantic Ocean. We hypothesize, therefore, that the increased persistence of the south regime is related to the weaker baroclinicity leading to slower growth rates of the unstable modes and hence a slower buildup of eddy heat flux, which has been shown to precede EDJ transitions. In the North Atlantic sector, the surface response to the SSW projects onto a negative North Atlantic Oscillation (NAO) pattern, with almost no change in the east Atlantic (EA) pattern. This behavior appears to be distinct from the modeled intrinsic variability in the EDJ, where the jet latitude index captures variations in both the NAO and EA patterns. The results offer new insight into the mechanisms for stratosphere–troposphere coupling following SSWs.
Effect of Elevated Pulmonary Artery Systolic Pressure on Short-Term Prognosis in Patients With Acute Myocardial Infarction
Authors: Fan Xiao-ting , Wang Sheng-ji , Mujahid Haroon , Ji Xiao-ping
Published: March 2020

Pulmonary artery systolic pressure (PASP) may increase because of cardiac alterations that result in increased filling pressures after acute myocardial infarction (AMI). We hypothesized that PASP might be a useful maker to predict the risk of cardiac death after AMI. We carried out a retrospective study from 2013 to 2017 involving 5401 patients with AMI. Patients were grouped according to their admission PASP result, and the primary end point was cardiac death in 6 months after AMI. Pulmonary artery systolic pressure was associated with age, AMI site, Killip classification, and decreased ejection fraction. After adjustments for clinical and echocardiographic parameters in a Cox model, PASP was found to be significantly related to cardiac death. In receiver operating characteristic analysis, PASP >30 mm Hg had a sensitivity of 59.8% and a specificity of 62.5% for predicting 6-month cardiac death after AMI. In conclusion, PASP at the index admission may be a useful marker predicting short-term cardiac death. These results have implications for future research and management of patients with AMI.
Decision Quality Among Parents Who Are Offered Ventilation Tube Insertion for Their Children
Authors: Newby Maxwell D. , Zalzal Habib G. , Ramadan Jad , Kellermeyer Brian M. , Carr Michele M.
Published: March 2020

Objective:

To develop a Decision Quality (DQ) tool to measure parents’ DQ concerning ventilation tube (VT) insertion in their children.

Method:

Parental survey during 2017 to 2018 in a tertiary care pediatric otolaryngology clinic comparing a validated Decisional Conflict (DC) scale with a DQ instrument including Shared Decision-Making (SDM) scale, parental treatment goals, and knowledge about VT.

Results:

Of 100 parent participants, 83% were mothers and 14% were fathers. 94% elected VT insertion, 6% elected monitoring or deferred the decision. 44% of the patients were <18 months, 42% were 19 months to 3 years, and the rest were older. The mean DC score was 8.26 out of 100 (95% CI 4.82-11.69), indicating low DC. Mean DQ score was 82.45 out of 100 (95% CI 80.18-84.72), including mean SDM of 87.71 (95% CI 83.53-91.88,), mean knowledge score of 87.5% (95% CI 84.56-91.59) and mean values score of 7.16 (95% CI 6.90-7.41). Comparisons between those who elected VT and those who did not showed that electors had lower DC scores (7.15 vs 24.74, P < .001), higher DQ scores (83.00 vs 72.61, P = .028) with higher SDM scores (88.70 vs 70.22, P = .044) and higher values score (7.20 vs 6.36, P = .034). Cronbach alpha for the DQ scale was 0.76. Spearman’s rho for DQ score versus DC score was −0.458, P < .001.

Conclusions:

DQ, as measured with this tool, was higher when parents chose to place tubes. Our DQ instrument has potential use for study of why parents may decline VT when their child meets criteria for them.
Making Visible the Invisible: Multistudy Investigation of Disproportionate Special Education Identification of U.S. Asian American and Pacific Islander Students
Authors: Sullivan Amanda L. , Kulkarni Tara , Chhuon Vichet
Published: March 2020

Although disproportionality has been a focus of special education research for more than 50 years, relatively few researchers have addressed potential inequitable or inappropriate treatment of Asian American and Pacific Islander (AAPI) students in the United States, particularly in quantitative research. This multistudy investigation explored patterns and predictors of AAPI representation in special education using (a) data from states’ federal child count reports and (b) a subsample of 4,290 participants from the Early Childhood Longitudinal Study–Kindergarten Class of 2010–11 (ECLS-K:2011). Descriptive analysis of states’ child count data indicated that, compared to White students, Asian and Pacific Islander students’ relative risk of identification differed for most disabilities, with Pacific Islanders generally demonstrating higher relative risk. Multivariate analysis of the ECLS-K:2011 subsample indicated that ethnic group differences in risk of special education identification were not robust to sociodemographic and performance controls. We discuss potential contributors to these patterns and implications for research.
Cetirizine Hydrochloride Injection
Authors: Baker Danial E.
Published: March 2020

Each month, subscribers to The Formulary Monograph Service receive 5 to 6 well-documented monographs on drugs that are newly released or are in late phase 3 trials. The monographs are targeted to Pharmacy & Therapeutics Committees. Subscribers also receive monthly 1-page summary monographs on agents that are useful for agendas and pharmacy/nursing in-services. A comprehensive target drug utilization evaluation/medication use evaluation (DUE/MUE) is also provided each month. With a subscription, the monographs are available online to subscribers. Monographs can be customized to meet the needs of a facility. Through the cooperation of The Formulary, Hospital Pharmacy publishes selected reviews in this column. For more information about The Formulary Monograph Service, contact Wolters Kluwer customer service at 866-397-3433.
Preservice Teachers’ Skills to Identify Effective Teaching Interactions: Does It Relate to Their Ability to Implement Them?
Authors: Wiens Peter D. , LoCasale-Crouch Jennifer , Cash Anne Henry , Romo Escudero Francisca
Published: March 2020

Research about in-service teachers has shown that specific skills such as the skill to identify effective teaching interactions in others relates to the teachers’ skill to engage in effective classroom interactions related to student learning. This study aimed to examine the relationship between these skills for 130 preservice teachers in the final year of their program. Findings indicated that preservice teachers’ skill to identify effective teaching interactions in others related to the effectiveness of the emotional support and instructional support exhibited in their observed classroom interactions. In addition, the study investigated the relationship between these skills and the teacher program characteristics. This study provides further evidence that the skill of noticing effective teaching interactions in others is related to implementing one’s own effective classroom interactions. Thus, enhancing preservice teachers’ noticing skills serves as an important target for current and future teacher training.