bluuebunny/crossref_metadata_2025 huggingface dataset:
Meliorated Multi Layered Key Less Mechanism in Visual Cryptography
Authors:   Assistant Professor, Department of Information Technology, St. Thomas’ College of Engineering and Technology, Kolkata, India, Das Kalyan , Samajpati Sayantan ,   , Student, Department of Information Technology, St. Thomas’ College of Engineering and Technology, Kolkata, India, Das Abhirup ,   Student, Department of Information Technology, St. Thomas’ College of Engineering and Technology, Kolkata, India., Bandyopadhyay Samir Kumar ,   Professor, Department of Computer Science & Engineering, University of Calcutta, India.
Published: July 2020

Visual Cryptography algorithm primarily ensures lossless recovery of the secret image, by breaking the secret message into multiple shares before sending through a channel, which increases the bandwidth requirement of the channel due to increase in the size. The proposed algorithm deals with this problem by using two exclusive locks on the image to be shared which are applied once on the sender side and once on the receiver side. Thereafter sender and receiver open’s their individual locks to finally retrieve the secret image at the receiver end.
Assessment on the Adequacy of Current Supply Testing Methods in CMOS Operational Amplifier
Authors:   Assistant Professor, VIGNAN INSTITUTE OF MANAGEMENT AND TECHNOLOGY FOR WOMEN, Ghatkesar, Hyderabad, India., Kumar J. Sunil , Deepthi A. ,   VIGNAN INSTITUTE OF MANAGEMENT AND TECHNOLOGY FOR WOMEN, Ghatkesar, Hyderabad, India., Kaveri U. ,   VIGNAN INSTITUTE OF MANAGEMENT AND TECHNOLOGY FOR WOMEN, Ghatkesar, Hyderabad, India., Sharma N. Ravalika ,   VIGNAN INSTITUTE OF MANAGEMENT AND TECHNOLOGY FOR WOMEN, Ghatkesar, Hyderabad, India.
Published: July 2020

As the CMOS innovation is downsizing, spillage power has gotten one of the most basic structure worries for the chip fashioner. This paper proposes examination on the adequacy of current gracefully testing strategies in cmos operational amplifiers. In this work, a two phase operational amplifier is structured and faults are infused utilizing 250nm innovation. We will assess the viability of current checking systems in distinguishing Bridge and open deformities in CMOS operational amplifiers. We ought to assess the identification capacities by utilizing two current testing strategies. The principal strategy comprises the oversight of the transient flexible current (IDDT) and the subsequent procedure comprises the observing of quiet gracefully current (IDDQ).The most probable resistive and open defects are infused utilizing fault infusion extra transistors. Exhibitions of the CMOS operational amplifier are additionally assessed after each issue infusion. Spice stimulation ought to be done to compare about the proposed test systems and assess the best performing one. We ought to assess the recognition abilities by utilizing two current testing procedures. The primary system comprises the oversight of the transient gracefully current (IDDT) and the subsequent method comprises the checking of quiet flexibly current (IDDQ). The most probable resistive and open deformities are infused utilizing fault infusion extra transistors. Exhibitions of the CMOS operational amplifier are likewise assessed after each fault infusion. Flavor re-enactments ought to be done to look at the proposed test strategies and assess the best performing one.
DC Motor Speed Control using Internal Model Controller Industrial Transformation Strategy
Authors:   Department of Electrical and Electronics Engineering Technology, Federal Polytechnic Nasarawa, Nasarawa, Nigeria., Ahmed Usman Omeiza , Patrick Ayuba Avong ,   Department of Electrical and Electronics Engineering Technology, Federal Polytechnic Nasarawa, Nasarawa, Nigeria., Kwembe Benjamin Amough ,   Department of Electrical and Electronics Engineering Technology, Federal Polytechnic Nasarawa, Nasarawa, Nigeria.
Published: July 2020

In developed nations, industries are made to function at control engineering costs via the use of appropriate control schemes for dc motors. This paper introduces the role played by dc motors in industries thereby necessitating the analysis and performance validation of dc motor in Internal Model Control (IMC) scheme as against the Proportional– Integral–Derivative (PID) control schemes that is widely used in most industries. Theories on dc motor model, PID and IMC controller were detailed to paved the way for the methodical approach of getting specifications and transfer function for a typical dc motor (model RMCS-3011). Matlab/Simulink software was then used to tune the PID controller for the purpose of finding the values of PID gains that meets the design requirements to achieve best performance, thereby enabling the simulation of the PID controller. Using Matlab m-file environment, IMC controller transfer function was generated and simulated. The IMC controller transfer function aimed at achieving a unity gain that tracks the set-point was approximately realized. In the realization process, it was obvious that a filter is required. The aim of this work is to evaluate the performance of the IMC controller over PID controller. Simulated plots in Matlab-Simulink using the PID gains for the PID controller, and time constants and filter order for the IMC were presented. The quantitative results of the IMC method when compared with that of PID control provides a commendable performance. However, the performance in terms of rise time is small and preferred with the use of Matlab-Simulink tuned PID controller. Conclusively, IMC controller would be the preferred controller where the robustness and accuracy of the dc motor speed control counts more than faster response
Human Emotion Detection using Eeg Sensor
Authors:   Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India., Arakere Meghana Gupta , Seal Avik ,   Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India., Karmakar Rajarshi ,   Student, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India., Nithya V. ,   Associate Professor, Department of Electronics and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
Published: July 2020

This is a data visualization art piece using 10 seconds of mind waves recordings of the human, captured with EEG sensor.10 seconds of Alpha, Beta, Gamma & Theta brain waves while meditating are recorded, the different wave channels are categorized to state when the right brain representing artistic brain activity, isolating the ranges for each channel when the brain channels were more meditating and imaginative. Based on the waves of the brain obtained, we will be able to deduce few attributes such as attention span and mood. The moods we will be trying to assess and display here the level of happiness, sadness, anger along with attention span and meditation level (Concentration level).
Enhanced N Cut and Watershed based Model for Brain MRI Segmentation
Authors:   Department of Mathematics, MIT School of Engineering, MITADT University, Loni Kalbhor, Pune, Maharashtra, India, Ghorpade Naresh , Bhapkar H. R. ,   Department of Mathematics, MIT School of Engineering, MITADT University, Loni Kalbhor, Pune, Maharashtra, India.
Published: July 2020

Segmentation of an image is most important and essential task in medical image processing, specifically while analyzing magnetic resonance (MR) image of brain clinically. during the clinical investigation of brain MRI images. Lot of research has been carried out for MRI segmentation but still it is challenging task. Hybrid approach which uses enhanced normalized cut and watershed transform to segment brain MRI images is developed in this paper. Watershed transform is used for the initial partitioning of the MRI, which creates primitive regions. In the next stage these primitive regions resembled for graph depiction and then the normalized cut method is used for segmenting an image. Variety of simulated and actual MR images are being segmented by using proposed algorithm to test its efficiency, in addition to it segmentation results are also compared with the other available techniques of brain MRI segmentation.
Opinion Based Ranking System using Machine Learning
Authors:   Lecturer, Department of Computer Engineering, Government Engineering College, Gandhinagar, India., Chaudhari Manisha , Prajapati Niranjan K. ,   Assistant Professor, Department of Computer Engineering, Government Engineering College, Gandhinagar, India., Maliya Rama M. ,   Assistant Professor, Department of Computer Engineering, Government Engineering College, Gandhinagar, India
Published: July 2020

The rapid increase in the online services in the recent years. Everyone sending feedback/review after used particular services. For unstructured data it released active countless opportunity ties and challenges for data mining research. This paper is especially for reviews of hotels which are given by various hotels visitors. Reviews are posted as a comment only. It is difficult to identify the positive & negative review. We used dataset of different hotels and perform sentiment analysis process. For classification word to Vec Algorithm is being used. Forthe positive and negative review calculation r2 & f1 scoring functions are very useful.
Classifying Books by Genre Based on Cover
Authors:   Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India., Jayaram Rajasree , Mallappa Harshitha ,   Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India., S Pavithra ,   Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India., B Munshira Noor ,   Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India., J Bhanushree K ,   Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India.
Published: July 2020

A book cover can convey a lot about the content of the book. Despite the adage to not evaluate something based on outward appearances, we apply machine learning to see if we can, in fact, judge a book by its cover, or more specifically by its cover art and text. The classification was done considering three different aspects - cover image only, cover text only and both image and text in a multimodal approach. Image classification was done using transfer learning with Inception-v3. For text detection from the cover image, images were first converted to greyscale and different thresholds were applied to detect maximum text. This text was then vectorized and used to train a Multinomial Naïve Bayes model. We also trained custom CNNs for image and text modalities. For multimodal classification, we examine late fusion model, where the modalities are combined at decision level, and early fusion model, where the modalities are combined at the feature level. Our results show that the late fusion model performs best in our setting. We also observe that text is more informative with respect to genre prediction and that significant efforts need to be devoted to solve this image-based classification task to a satisfactory level. This research can be used to aid product design process by revealing underlying information. It could also be used in recommender systems and to help in promotion and sales processes for automatic genre suggestion.
Automated Coconut Plantation System
Authors:   Department of MCA, Shree Devi Institute of Technology, Mangalore, Karnataka, India, Sajfan  , Prakash K. E. ,   Director of Shree Devi Institute of Techonology, Mangalore., S Nethravathi P. ,   Professor of Department of Master of Computer Applications at Shree Devi Institute of Technology, Mangalore.
Published: July 2020

This work basically deals with the coconut plantation and is designed by using Internet Of Things (IOT) devices, web and android OS to manage the coconut farm. The system efficiently control, monitor and manage the activities of the coconut farm. The details of the coconut that has less amount of water which will be monitored and provide water supply for particular tree. The collection of devices in the system provides alert to the concerned person who maintenance the farm, when there is any leakage occurring in the water supply. The objective of automating the coconut plantation system is to reduce the work of the people in the of water or urea in the field.
Detection of Human Facial Expression using CNN Model
Authors:   Assistant Professor, Department of Information Technology, R. M. D Engineering College, Thiruvallur, Tamilnadu, India., Ch Srilakshmi , K Kiruthika ,   Student, Department of Information Technology, R. M. D Engineering College, Thiruvallur, Tamilnadu, India., R Bharathi Priya ,   Student, Department of Information Technology, R. M. D Engineering College, Thiruvallur, Tamilnadu, India., J Jayalakshmi ,   Student, Department of Information Technology, R. M. D Engineering College, Thiruvallur, Tamilnadu, India.
Published: July 2020

Facial expression is the most effective and herbal non verbal emotional conversation method People can range indoors the way they display their expressions Even pics of the same character within the identical countenance can vary in brightness historical past and pose and these variations are emphasized if thinking about particular subjects because of versions in shape ethnicity amongst others Hence countenance recognition remains a challenging trouble in PC vision To advise a solution for expression reputation that uses a combination of Convolutional Neural Network and precise picture prepossessing steps It defined the modern-day solution that has green facial capabilities and deep gaining knowledge of with convolutional neural networks CNN's has achieved high-quality success within the classification of assorted face emotions like glad angry unhappy and impartial Hundreds of neuron smart and layer smart visualization techniques have been applied the usage of a CNN informed with a publicly to be had photo data set So it’s positioned that neural networks can capture the colors and textures of lesions unique to respective emotion upon analysis which resembles human desire making.
Design and Implementation of Rural Electrification Framework using Photovoltaic
Authors:   Assistant professor of Electrical and Electronics Engineering at Bannari Amman Institute of Technology, Erode., Rishikesh N. , Gopika N. system P. ,   Department Assistant professor of Electrical and Electronics Engineering at Bannari Amman Institute of Technology, Erode.
Published: July 2020

The need to electrify all rural areas in India is quite compelling. However, the focus has now shifted from traditional fuel-based systems to generate electricity to renewable sources for energy generation. Though there are subsidies and policies that encourage the use of solar Photovoltaic (PV) systems, there is a need for an appropriate framework. This framework could not only offer substantial directions but it would also act as grounds to enhance rural electrification in India using solar PVs. From this perspective, the current research attempts to structure an innovative framework for solar PV system that could facilitate rural electrification in India. In particular, the district of Damoh in Madhya Pradesh was chosen as there are many villages without electricity in this district. PVsyst software was utilized to simulate the outcomes that included mathematical models and diverse components based on PV, for simulation. Three designs were developed to facilitate the simulation. These included; PVs linked with microgrid devoid of battery, individual PV systems without microgrid link and solar PVs linked to microgrid with battey. The framework for rural electrification using solar PVs will offer policy makers with insights with regards to implementing PV systems. It will also offer inputs as to the feasibility of implementing a specific system on several parameters. These would comprise of; number of households within a village, detached households etc. Nonetheless, research in future is also warranted to explore the scope for other sources of renewable energy
Vehicle Starter using Face Recognition
Authors:   Assistant Professor, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India., Subbayamma B. V. , Srihitha U. Durga ,   Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India., Sekunthala S. Mohini ,   Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
Published: July 2020

Face acknowledgment is an interesting exploration subject as of late. The scientists proposed different strategies. The factors are similar to an assortment of lighting up, outward appearance, leveling, and perspective turn of events influences the precision of the face affirmation procedure. The fundamental requirement is the separation of the facial picture and the SURF (Speeded up Robust Features). Notwithstanding that they are additionally halfway invariable to brightening and relative change. This undertaking recommends a facial acknowledgment procedure utilizing SURF highlights and Support Vector Machine (SVM) classifier. The outcomes demonstrate that the proposed technique can prompt high acknowledgment productivity. The proposed framework is applied to vehicle get to control by interfacing the Arduino microcontroller board with PC.
Effective Prediction of Diabetes Mellitus using Nine different Machine Learning Techniques and their Performances
Authors:   Dept. of Computer Engg, VIT, Pune, India, Joshi Shashank , Gaikwad Vijayendra ,   Dept. of Computer Engg, VIT, Pune, India, Rathod Sairam ,   Dept. of Computer Engg, VIT, Pune, India, Rathod Anamika ,   Dept. of Computer Engg, VIT, Pune, India, Sagar Neha ,   Dept. of Computer Engg, VIT, Pune, India
Published: July 2020

Diabetes is a disease where the predominant finding is high blood sugar. The high blood sugar may either be because of deficient insulin production (Type 1) or insulin resistance in peripheral tissue cells (Type 2). Many problems occur if diabetes remains untreated and unidentified. It is additional inventor of various varieties of disorders for example: coronary failure, blindness, urinary organ diseases etc. Nine different machine learning techniques are used in this research work for prediction of diabetes. A dataset of diabetic patient’s is taken and nine different machine learning techniques are applied on the dataset. Positive likelihood ratio, Negative likelihood ratio, Positive predictive value, Negative predictive value, Disease prevalence, Specificity, Precision, Recall, F1-Score ,True positive rate, False positive rate of the applied algorithms is discussed and compared. Diabetes is growing at an increasing in the world and it requires continuous monitoring. To check this we use Logical regression, Random forest, Logical regression CV, Support Vector Machine, Artificial Neural Network (ANN), Decision Tree, k-nearest neighbors (KNN), XGB classifier
Prediction of Crop and Weed Growth Stages using Neural Network in Machine Learning
Authors:   Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India., Dutt Devansh , Priyadarsini M. Jasmine Pemeena ,   Electronics and Communication, Vellore Institute of Technology, Vellore, India., Khuntia Smruti Ranjan ,   BTech in Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India.
Published: July 2020

This paper presents the structure, usage and assessment of a convolutional neural system-based methodology has been applied for the arrangement of various phenological phases of plants. Our CNN design can consequently characterize distinctive phenological phases of eleven sorts of plants. So as to assess the presentation and productivity of our profound learning-based methodology, an old-style AI approach dependent on physically removed highlights is additionally executed. Textural highlights dependent on GLCM highlights have been removed and joined arrangement of highlights are taken care of into an AI calculation. The arrangement pace of the methodology dependent on physically extricated highlights is contrasted with those of our CNN based methodology. Trial results demonstrate that CNN put together methodology is fundamentally powerful with respect to the eleven sorts of plants we investigated. There are a wide range of ways profound learning can be applied on a dataset relying upon the size of the dataset. There are many research headings that we are intending to take for arranging phenological stages. Future work may comprise of building our own CNN design without any preparation especially prepared for arranging phenological phases of plants, just as trying different things with other pre-prepared CNN models and making sense of an approach to recognize infections in crops
Simulation and Optimization of stacked PVDF Membrane for Piezoelectric Application
Authors:   Assistant Professor, R V College of Engineering, Bengaluru, India., Karbari Sudha R , Inasu Shruthi ,   , student, R V College of Engineering, Bengaluru, India., Kamalaksha Varsha ,   , student, R V College of Engineering, Bengaluru, India., Nayak Vidya A ,   , student, R V College of Engineering, Bengaluru, India., Kumari M Uttara ,   Professor, R V College of Engineering, Bengaluru, India., Shireesha G ,   Assistant Professor, R V College of Engineering, Bengaluru, India.
Published: July 2020

In this paper, a comparative analysis of multilayer stacked PVDF thin film fabricated using two different techniques namely electrospinning and spin coating has been done. The simulation is carried out in COMSOL Multiphysics version 5.0 and the results are analyzed. PVDF is used as the fundamental material in the composition of the structure. The main properties that contribute to the comparative analysis are as follows: displacement, stress, acceleration, and electric potential. for a given material, all the properties are evaluated for a range of frequency. The variance of the properties for the same material under different fabrication techniques is evaluated and analyzed. The study provides comprehensive coverage of spin coating and electrospinning techniques and aims at understanding which technique can be adopted to enhance the efficiency and obtain the desired results.
Experimental work on the Low Reynolds Number Behaviour of 2 Hole Offset Probes
Authors:   Department of Mechanical Engineering, Lingaya’s Vidyapeeth, Faridabad, Haryana, India., Ajit  , Khan Iqbal Ahmed ,   Department of Mechanical Engineering, Lingaya’s Vidyapeeth, Faridabad, Haryana, India
Published: July 2020

Whenever a dusty or slurry air passes through the L-type pitot tube its impurities struck at 900 bend, resulting in the partially choking of the air flow through this device. And eventually its accuracy is decreased with the passage of time. Alternatively, such type of obstruction of the air flow can be avoided by using S-type pitot tube. Keeping this in mind, in the present work we had used S-type pitot tube of diameters ranging from 1.23 mm to 9.54 mm to test against the standard (L-type) pitot tube to control the accuracy of S-type pitot tube co-efficient. An experimental work has been carried out in a simulated wind tunnel environment. The results of the present work showed that there a slight dip over a velocity range of 3 to 14 m/s. Further, it is observed that for higher Reynolds numbers or at higher velocities of the air (more than 14 m/s) the co-efficient performance of S-pitot tube is found almost constant.
Optimization of Parameters and Operating Modes of Vibration roller
Authors:   Professor, Department of Operation Machine and Tractor Park, Kuban State Agrarian University., Maslov Gennady , Tsybulevsky Valery ,   Associate Professor, Department of Tractors, Cars and Technical Mechanics, Kuban State Agrarian University., Tazmeev Bulat ,   Associate Professor, Department of Tractors, Cars and Technical Mechanics, Kuban State Agrarian University .
Published: July 2020

The optimal parameters and operating modes of vibratory roller for soil compaction after sowing winter wheat were substantiated. For objective function - the optimum coefficient of variation of density of soil during operation of vibratory roller for compacting winter wheat regression equation was obtained in the planning according to the Вк plan of the experiment. The adequacy of model according to Fisher criterion, the significance and reliability of coefficients of regression equation was established. The response surface obtained by the shape of hyperboloid rotation was studied, twodimensional sections of three factors were constructed on optimization criterion. With its minimum value, the optimal parameters of vibratory roller were established: the mass of roller is 293 kg, the spring stiffness is 11.95 kN/m, the working speed of roller is 9.6 km/h. The minimum value of optimization criterion is 10.43%.
Changes in the Strength Characteristics of Glinistx Soils under the Influence of Dynamic Forces
Authors:   Tashkent Institute of Architecture and civil Engineering. Uzbekistan, Tashkent, Akramovich Khakimov Gayrat
Published: July 2020

In order to study in depth the impact of vibration on the strength characteristics of clay soils, as well as to develop methods that increase the strength characteristics and contribute to the elimination of seismic shrinkage deformations of clay soils, we conducted research in the field. In field experimental studies, the svaw-12 trailed, smooth vibration roller, manufactured in Germany, was used. We paid special attention to the further behavior of the soil after the vibration and made observations and measurements of soil indicators for two months. The experiments in the field with vibration column showed an increase of soil deformation with increasing duration of the fluctuations, i.e. there is a linear relationship between the increases in soil density on the duration of oscillations. In the process of vibration, there is a sharp decrease in the force of adhesion and the angle of internal friction, which is apparently associated with a violation of the structure of the soil and its compaction. And then at the end of the vibration process, over time, there is an increase in the adhesion (1.5-2 times) and the internal friction angle (1.2 times) of the soil, obviously as a result of the soil acquiring new strength and compaction under the influence of its own weight. This circumstance is also associated with the humidity state of the soil.
Dynamic Gesture Recognition System to Control Media
Authors:   Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India,, Y Asnath Victy Phamila , Gopal Raunak ,   Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India,, S Geetha ,   Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India,
Published: July 2020

Gesture control technology is developing quickly and changing many aspects of daily life. Gesture control devices evolved from expensive primitive input devices to affordable devices capable of fine detail recognition. These devices are now used in a much wider range, from research experiments and prototypes to day-to-day commercial products. In this paper, a hand swiping algorithm to control media on personal computers is presented. The algorithm aims to be accurate, without the burden of high computational complexity. The paper begins with an introduction to gesture control and surveys existing work in the field. The main algorithm which tracks the users hand to control the volume is explained in detail in the methodology section. A Raspberry Pi board along with a Logitech HD webcam will be used to test the algorithm. The results are discussed in the experiment section, followed by the constraints and conclusion.
Modified Cosine Similarity Measure based Data Classification in Data Mining
Authors:   Department of Computer Science, Dravidian University, Kuppam, India., Mabuni D.
Published: July 2020

Text data analytics became an integral part of World Wide Web data management and Internet based applications rapidly growing all over the world. E-commerce applications are growing exponentially in the business field and the competitors in the E-commerce are gradually increasing many machine learning techniques for predicting business related operations with the aim of increasing the product sales to the greater extent. Usage of similarity measures is inevitable in modern day to day real applications. Cosine similarity plays a dominant role in text data mining applications such as text classification, clustering, querying, and searching and so on. A modified clustering based cosine similarity measure called MCS is proposed in this paper for data classification. The proposed method is experimentally verified by employing many UCI machine learning datasets involving categorical attributes. The proposed method is superior in producing more accurate classification results in majority of experiments conducted on the UCI machine learning datasets.
Effects of Frequency and Jet to Surface Spacing on Synthetic Jet Impingement Heat Transfer
Authors:   Research Scholar, University of Kerala, Department of Mechanical Engineering, T.K.M college of Engineering, Kerala, India., Jacob Arun , A Shafi K ,   Departmnt of Mechanical Engineering, T.K.M college of Engineering, Kerala, India., Roy K E Reby ,   Department of Mechanical Engineering, T.K.M college of Engineering, Kerala, India
Published: July 2020

Synthetic jet is a new technique for electronic chip cooling, which combines stagnant air to form a jet resulting from periodic diaphragm oscillations in a cavity. In this work, the heat transfer characteristics of a synthetic jet are investigated experimentally and numerically. A Piston-cylinder arrangement powers the synthetic jet through a circular orifice for the impingement of jet on the heated surface. Air is considered as the cooling medium. The major parameters identified to describe the impinging jet heat transfer are Reynolds number, frequency, ratio of jet spacing to diameter(Z/D) and nozzle geometry. Numerical studies have been carried out using the finite volume based commercial software ANSYS Fluent. The turbulent model used is k-ω model. The dimensionless distance between the nozzle and plate surface is in the range 2 to 16. Numerical results are in fair agreement with experimental results. As the frequency increases the average Nusselt number increases. High frequency synthetic jets were found to remove more heat than low frequency jets for small Z/D ratio, while low frequency jets are more effective at larger Z/D ratio. Nusselt number is maximum at the stagnation point and there occurs a secondary peak at lower Z/D ratios. Synthetic jet with rectangular orifice is more effective as compared to circular and square geometries.
Tracking multiple maneuvering targets hidden in the DBZ based on the MM-PHD filter
Authors: Wu Weihua
Published: July 2020

For a ground moving target indication (GMTI)
radar, the presence of Doppler blind zone (DBZ) results in many short tracks with frequent label switching, which seriously
deteriorates the tracking performance. When the DBZ masking is coupled with
targets maneuvering, tracking multiple maneuvering targets hidden in the DBZ
becomes very challenging, which is reflected
in the fact that there is no public research on this issue. To overcome this complicated problem, we propose a practical and
fully functional GMTI multi-maneuvering-target
tracker based on the multiple model probability hypothesis density (MM-PHD)
filter. Unlike the standard MM-PHD filter, the proposed tracker utilizes the Doppler information and incorporates the minimum detectable velocity
(MDV) to suppress
the DBZ masking. Furthermore, to cope
with the problems of the fixed initiation and no label output of the standard
MM-PHD filter, the resulting MM-PHD filter with the Doppler and MDV information is augmented with measurement-driven adaptive
track initiation and track label propagation, which are necessary for a practical tracker and also required
for evaluating the overall GMTI tracking performance. Finally, numerical examples show that the proposed tracker outperforms significantly the existing ones, thus verifying its effectiveness.
Engenharia epistêmica: Entrevista com Murilo Seabra, parte 2
Authors: Seabra Murilo , Verçoza Lúcio
Published: July 2020

Para entender a trajetória e as ideias de Murilo Seabra, é preciso retomar o polêmico “Discurso aos Estudantes sobre a Pesquisa em Filosofia”, de Oswaldo Porchat Pereira, professor recentemente falecido da Universidade de São Paulo, Brasil. A tese central de Porchat é que existe uma diferença incontornável entre sentar para escrever um trabalho filosófico e sentar para escrever um trabalho de história da filosofia. Na presente entrevista, realizada por e-mail entre os dias 23 setembro e 22 de dezembro de 2018, Murilo Seabra conta um pouco de suas experiências como estudante, defende a radicalização do discurso de Porchat, fala da importância de se combater o racismo e o sexismo na academia, discute a ascensão do pós-estruturalismo e a derrocada do marxismo durante a Guerra Fria e analisa o papel da filosofia na atual conjuntura política brasileira. Apesar de ter sido realizada antes da posse do novo presidente Jair Bolsonaro, a entrevista mostra uma presciência notável. “Já tínhamos uma filosofia sem o Brasil”, escreveu Murilo Seabra. “Agora corremos o risco de ter um Brasil sem filosofia”. A pedido dos editores, alguns momentos agressivos foram suprimidos e as críticas ao presidente Jair Bolsonaro foram moderadas. Por conta de sua extensão, a entrevista foi dividida em duas partes.
El bayesianismo: de lo casuístico a lo histórico
Authors: Quero-Virla Milton Enrique
Published: July 2020

Este documento presenta fundamentalmente dos aspectos relacionados al asunto Bayesiano: i) dos casos de aplicación de la epistemología Bayesiana, y, ii) una exposición resumida e intuitiva de la formalidad de las técnicas Bayesianas y su núcleo, el teorema de Bayes, culminando con una breve reseña histórica y una concepción de la epistemología Bayesiana. Apoyándose en la metodología de revisión documental bibliográfica, una caracterización general de un contexto de análisis Bayesiano describe dos situaciones cognitivas comprensivas de ese contexto, la inferencia Bayesiana y la teoría de decisión Bayesiana; además, se comentan aplicaciones Bayesianas generales y luego se dan dos casos específicos de aplicación: en el ejercicio médico cotidiano, y en la “plani-evaluación” de proyectos sociales. Una breve sección expone de manera muy básica las formalidades metodológicas Bayesianas interpretando el teorema de Bayes y el concepto de verosimilitud. Finalmente, una sección de cierre incluye una reseña histórica y una definición integradora de los principales componentes de la epistemología Bayesiana. La consolidación de epistemología Bayesiana ha requerido el aporte de muchas autoridades en el asunto; dos de los más influyentes pioneros mencionados en este documento son Aykac y Brumat (1977) y Lindley (1977). Como conclusión, la epistemología Bayesiana se presenta como una teoría de aprendizaje en incertidumbre respecto a eventos o estados aleatorios e inciertos de las cosas, de la naturaleza o de la realidad, aprendizaje o nuevo conocimiento que es expresado en términos de probabilidades.
"Hurricane" Sandy
Authors: Pollak Cheryl L.
Published: July 2020

On the evening of October 29, 2012, “Hurricane” Sandy made land- fall on the New York coastline, battering the land with strong winds, torrential rain, and record-breaking storm surges. Homes and commercial structures were destroyed; roads and tunnels were flooded; and more than 23,000 people sought refuge in temporary shelters, with many others facing weeks without power and electricity. At the time, Sandy was heralded as one of the costliest hurricanes in the his- tory of the United States; the second costliest hurricane only to Katrina, which hit New Orleans in 2005. Unfortunately, recent experience with Hurricanes Florence, Maria, Harvey, and Irma suggest that this pattern of devastating superstorms may become the new norm as climate change produces more extreme and unpredictable weather events.

In Sandy’s aftermath, as individuals returned to their homes, or what remained of them, and communities began to rebuild, the true cost of the storm became apparent. A year after the storm, the Federal Emergency Management Agency (“FEMA”) estimated that over $1.4 billion in assistance was provided to 182,000 survivors of the dis- aster; another $3.2 billion was provided to state and local governments for debris removal, infrastructure repair, and emergency protective measures. More than $2.4 billion was provided to individuals and businesses in the form of low-interest loans through the Small Business Administration (“SBA”), and millions more were spent on grants de- signed to implement mitigation measures in the future and to provide unemployment assistance to survivors.

Before the storm, homeowners paid premiums for flood insurance provided through the National Flood Insurance Program (“NFIP”), and for homeowner’s insurance provided by dozens of private insurers. In the months following the storm, they began to file claims for assistance in rebuilding their homes. While many such claims were re- solved successfully, many homeowners were unhappy with the settlement amounts offered by their insurance carriers and felt compelled to file lawsuits in the surrounding state and federal courts. Many of those lawsuits were filed in the United States District Court for the Eastern District of New York (“EDNY”). This case study describes the EDNY’s specifically crafted, unique approach to handling the mass litigation that ensued from Sandy’s devastation, documents some of the problems that the Court faced during that mass litigation, and describes some of the lessons learned from the Court’s experience.
PEMBERDAYAAN PEREMPUAN DALAM PENGENTASAN KEMISKINAN BERBASIS PROGRAM PEMBERDAYAAN DAN KESEJAHTERAAN KELUARGA (PKK)
Authors: Rapii Muhammad , Wahdatussopia Wahdatussopia
Published: July 2020

Penelitian ini dimaksudkan untuk mendapatkan gambaran pelaksanaan Program Pemberdayaan dan Kesejahteraan Keluarga (PKK) di wilayah Kecamatan Aikmel khususnya dalam bidang usaha mandiri; serta pemanfaatan bantuan program pemberdayaan dan kesejahteraan keluarga terhadap pengembangan usaha. Penelitian ini merupakan penelitian deskriptif dengan pengambilan sampel secara simple random. Pengumpulan data menggunakan wawancara, obeservasi dan dokumentasi. Analisis data yang digunakan adalah analisis deskriptif kualitatif. Hasilnya menunjukkan bahwa, yaitu indikator keberhasilan pelatihan diantaranya adalah Partisipasi, sikap kerjasama, pengetahuan, keterampilan, mengembangkan pengetahauna, inovasi, informasi, usaha diri dan tingkat penghasilan yang meningkat.
Small Cell Neuroendocrine Carcinoma of Tonsil – A Rare Occurrence
Authors: Mukutawat Peoli , Singh Bibhavendra Kumar , Prativyom Kunwar
Published: July 2020

Small cell neuroendocrine carcinomas of tonsil are extremely rare cancers and only a few cases have been reported till date. They carry a poor prognosis. Paraneoplastic syndromes like SIADH, Cushing’s syndrome and Eaton-Lambert myasthenic syndrome can be found associated with these carcinomas. The tumor can metastasize to liver, lungs, bone, brain and skin. A 70-year-old male presented with a 2-month history of pain in throat which was moderate to severe in intensity and intermittent. Local examination of oropharynx revealed a 5×5 cm ulcero-proliferative growth over the right tonsil extending to right side of base of tongue, vallecula, and right retromolar trigone. Multiple matted lymph nodes were palpable in the right cervical region. Histopathological examination of tissue sample from the growth over the right tonsil revealed small cell neuroendocrine carcinoma. On immunohistochemistry, chromogranin and CD56 were positive. Patient received 2-courses of neoadjuvant chemotherapy with cisplatin and etoposide. Then the patient was planned for external beam radiation therapy with dose of 60 Gy in 30 fractions in 6 weeks. Small cell neuroendocrine carcinoma of tonsil are likely to be very aggressive with a tendency of developing early regional lymphatic and systemic metastases. More research and clinical trials shall be explored to obtain a standard treatment strategy for these patients.
Implementation of Beam Steering using Phased Array Antennas
Authors: Mathew Jestin John , HS Nitish , V Dr. Jayavrinda V , S Dr. Raghunandan
Published: July 2020

Beam steering is a phenomenon of varying the direction of the main lobe in the radiation pattern, so in radar systems it can be achieved by changing the relative phases of the antenna being implemented.But,some of the setbacks of implementing beam steering in mechanical antennas like microstrip antenna is that the directivity and, gain is low,and interference is very high.Whereas,in our project we have implemented beam steering using phased array antennas which has produced better results.So,an phased array antenna is electronically scanned antenna ,which produces a beam of radio waves that can be steered to different points based on our requirements by keeping the antenna stationary.Also,these type of antennas require less maintenance as compared to mechanical antennas
An Efforts to Increase Efficiency Cost and Productivity Production at PT. XYZ
Authors: Kumudasari Sekar , Saroso Dana Santoso
Published: July 2020

This thesis aim to examine regarding layout methods, efficiency, productivity and fishbone towards efficiency cost in an effort to increasing the product productivity on Development sample room department at PT XYZ in which to sort of current problem regarding extra costs which exceed the company's target every monthly and The company's desire to increasing the output result during period July 2018 until December 2018. This research has purpose to discover the influence of an increasing efficiency cost and increasing productivity through layout method, efficiency, productivity and fishbone towards efficiency cost and productivity on Development Sample Room at PT XYZ. The research results shows there has an increasing in efficiency cost around 27% which nominal amounted Rp.13.200 / monthly therefore there has decreed in actual cost with that amount aswell. The influence of layout that transform the distance from previously in 400.5 m into 143 metres so it makes the production process faster and more efficient as for productivity ,there has no increase in it because basically the target or order has been received to be completed that month
Dynamic Observing and Tiling Strategies for the DESI Legacy Surveys
Authors: Burleigh Kaylan J. , Landriau Martin , Dey Arjun , Lang Dustin , Schlegel David J. , Nugent Peter E. , Blum Robert , Findlay Joseph R. , Finkbeiner Douglas P. , Herrera David , Honscheid Klaus , Juneau Stéphanie , McGreer Ian , Meisner Aaron M. , Moustakas John , Myers Adam D. , Patej Anna , Schlafly Edward F. , Valdes Francisco , Walker Alistair R. , Weaver Benjamin A. , Yèche Christophe ,   and the DECaLS, MzLS, and BASS Teams
Published: July 2020

The Dark Energy Spectroscopic Instrument Legacy Surveys, a combination of three ground-based imaging surveys, have mapped 16,000 deg2 in three optical bands (g, r, and z) to a depth 1–2 mag deeper than the Sloan Digital Sky Survey. Our work addresses one of the major challenges of wide-field imaging surveys conducted at ground-based observatories: the varying depth that results from varying observing conditions at Earth-bound sites. To mitigate these effects, the Legacy Surveys (the Dark Energy Camera Legacy Survey, or DECaLS; the Mayall z-band Legacy Survey, or MzLS; and the Beiijing-Arizona Sky Survey, or BASS) employed a unique strategy to dynamically adjust the exposure times as rapidly as possible in response to the changing observing conditions. We present the tiling and observing strategies used by the first two of these surveys. We demonstrate that the tiling and dynamic observing strategies jointly result in a more uniform-depth survey that has higher efficiency for a given total observing time compared with the traditional approach of using fixed exposure times.
New Candidates for Planetary-mass Brown Dwarfs in IC 348
Authors: Luhman K. L. , Hapich C. J.
Published: July 2020

We have used infrared images obtained with the Wide Field Camera 3 on board the Hubble Space Telescope to search for planetary-mass brown dwarfs in the star-forming cluster IC 348. In those images, we have identified 12 objects that have colors indicative of spectral types later than M8, corresponding to masses of ≲30 M
Jup at the age of IC 348. The four brightest candidates have been observed with spectroscopy, all of which are confirmed to have late types. Two of those candidates appear to be young, and thus are likely members of the cluster, while the ages and membership of the other two candidates are uncertain. One of the former candidates is the faintest known member of IC 348 in extinction-corrected K

s
and is expected to have a mass of 4–5 M
Jup based on evolutionary models and an assumed age of 3 Myr. Four of the remaining eight candidates have ground-based photometry that further supports their candidacy as brown dwarfs, some of which are fainter (and potentially less massive) than the known members.
Long-term Photometry and Orbital Period Change of the W UMa–type Binary v0599 Aur: Evidence of about 11 yr Magnetic-activity Cycle
Authors: Hu Ke , Yu Yun-Xia , Zhang Jian-Fu , Xiang Fu-Yuan
Published: July 2020

Combining all available photometric data from various surveys and literature with our observations, we present 10 sets of light curves for the eclipsing binary V0599 Aur covering a timescale of 20 yr. During the last two decades, the O’Connell effect continuously varied and went through at least two flips between positive and negative effects. The photometric solutions from our two sets of multicolored light curves show that V0599 Aur is a W-type shallow contact binary with an active spot on the secondary. Its absolute parameters are determined by combining the Gaia distance with the photometric solutions. The period investigation reveals a secular decrease and a cyclic variation in its orbital period. The former mainly originates from the mass transfer from the more massive secondary to the less massive primary. The latter can be preferentially explained as a result of cyclic magnetic activity of the secondary, with three observational supports: (1) the existence and evolution of an active spot suggested by the long-term photometry, (2) periodic variation in both the O’Connell effect and relative luminosity, and (3) weak correlations between O’Connell effect/relative luminosity changes and cyclic period variation. Together with the cyclic period variation and its theoretical reasonability by Applegate’s mechanism, we suggest that the secondary of V0599 Aur is a solar-type magnetic-activity star with an approximately 11 yr active cycle. Furthermore, by combining the secular period decrease with the Roche-lobe model, we infer that V0599 Aur is evolving from the marginal contact state controlled by thermal relaxation oscillation theory to the overcontact state.