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Correction to: Laboratory-on-a-smartphone for estimating angularity of granular soils

Acta Geotechnica 2022年第1期18卷 587-587页

作者： Zhang, Zhen Zheng, Junxing Li, Cheng Li, Zhaochao Gao, Lin Department of Civil Construction and Environmental Engineering Town Engineering Building Iowa State University Ames USA Department of Civil and Environmental Engineering University of Wisconsin-Madison Madison USA Computer Sciences Department University of Wisconsin-Madison Madison USA Key Laboratory for Special Area Highway Engineering of Ministry of Education School of Highway Chang’an University Xi’an China School of Civil Engineering Hunan University of Technology Zhuzhou China Graduate Student Research Assistant Ivy College of Business Iowa State University Ames USA

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Process Capability & Fascinating applications of Friction Stud welding

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IOP Conference Series: Materials Science and engineering 2020年第1期923卷

作者： D.S. Samuvel Prem Kumar R. Pravin S. Kavin Raj B. Benita N.Samuel Dinesh Hynes R. Nagarajan Asst.Professor Department of Mechanical Engineering JP College of Engineering Tenkasi Under Graduate Student Department of Mechanical Engineering Mepco Schlenk Engineering College (Autonomous) Sivakasi Assistant Professor Department of Computer Science & Engineering Francis Xavier Engineering College Tirunelveli-627002 Independent Researcher & Former Part Time Lecturer Department of Computer Science & Engineering Government College of Engineering Tirunelveli-627007

In earlier days, welding only involves joining two metals of same kind and dissimilar metals were usually joined by fasteners. Friction Stud welding is a true engineering marvel of making welds between dissimilar metals without any melting or fillers involved. The friction stud welding doesn't involve heat generation from electricity and it is purely based on friction. Besides these facts the friction stud welding has numerous advantage and applications. This paper focuses on the process of stud welding, application and its limitations.

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Simulation of Transient Liquid Phase Bonding Process and the Influence of Interlayer Thickness

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IOP Conference Series: Materials Science and engineering 2020年第1期923卷

作者： B. Benita D.S. Samuvel Prem Kumar R. Pravin N.Samuel Dinesh Hynes J.Angela Jennifa Sujana Assistant Professor Department of Computer Science & Engineering Francis Xavier Engineering College Tirunelveli-627002 Asst.Professor Department of Mechanical Engineering JP College of Engineering Tenkasi Under Graduate Student Department of Mechanical Engineering Mepco Schlenk Engineering College (Autonomous) Sivakasi Independent Researcher & Former Part Time Lecturer Department of Computer Science & Engineering Government College of Engineering Tirunelveli-627007 Associate Professor Department of Information Technology Mepco Schlenk Engineering College (Autonomous) Sivakasi

Ceramic/metal joints are possible with silid state joining techniques. Transient liquid phase bonding is a solid state joining process which is choice process. In this paper, numerical simulation of TLP bonding of ceramic/metal is done by Finite Element simulation. The finite element analysis of the TLP process provides the temperature and residual stress distribution during the bonding. Aluminium sheet as interlayer having high wettability is used. Transient thermal analysis is performed and discussed.

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Weather Prediction Using Multi Linear Regression Algorithm

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IOP Conference Series: Materials Science and engineering 2019年第1期590卷

作者： N Anusha M Sai Chaithanya Guru Jithendranath Reddy Assistant Professor Department of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India Under Graduate Student Deaprtment of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India Under Graduate Student Department of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India

Weather forecasting is one of the applications of science and technology, used to predict the weather condition depending on the input attributes. Most of the existing systems are implemented using statistical approaches for Support Vector Machine (SVM), which are incapable of giving the accurate prediction as they cannot capture sudden changes in weather conditions. The proposed technique uses the concept of Multi-Linear regression which can produce better results than existing methods.

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A Real Time Approach for Detecting Mobile Malicious WebPages

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Journal of Physics: Conference Series 2019年第1期1228卷

作者： S. Deepika P. Mounika Assistant Professor Dept. Of Computer Science and Engineering Anurag Group Of Institution Hyderabad Post Graduate Student Dept. Computer Science and Engineering Anurag Group of Institutions Hyderabad

Transportable specific web page pages comparison altogether from their work place partners in substance, format and usefulness. Likewise, current processes to apprehend malevolent websites are possibly no longer going to work for such pages. In this paper, we structure and actualize kayo, a machine that acknowledges pernicious and amiable portable webpage. we makes this warranty dependent on static highlights of a website web page going from the amount of iframes to the nearness of found out deceitful Smartphone numbers. Within the first vicinity, we tentatively display the requirement for transportable express structures and in a while recognize a scope of recent static highlights that profoundly relate with flexible malignant WebPages. We then observe to a dataset of extra than 350,000 known favorable and noxious versatile web page pages and showcase 90% precision in characterization. Additionally, we find, describe and document numerous internet site pages missed through Google secure browsing and virus general subsequently, we construct a application augmentation utilizing to defend clients from pernicious flexible web sites steadily. In doing as such, we give the primary static investigation strategy to differentiate malevolent transportable pages.

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Big Data Analytics in E-Commerce User Interest Patterns

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Journal of Physics: Conference Series 2019年第1期1228卷

作者： V. Amarnadh M. Akhila Assistant Professor Dept. OfComputer Science and Engineering Anurag Group Of Institution Hyderabad Post Graduate Student Dept. Computer Science and Engineering Anurag Group of Institutions Hyderabad

The assortment of online buys is always expanding. Offices have recognized the open doors this gives and are progressively more the use of on line channels. With the goal that it will profit capacity clients, organizations frequently endeavor to pick up a superior comprehension by means of web examination. A standout amongst the most useful sources is web log records. Basically, these give an abundance of basic insights around buyer direct on a web webpage, comprehensive of the course or motivate passage to time. Mining these so-known as snap flow measurements inside the greatest finish way has end up being a fundamental assignment in anticipating on line client lead, streamlining sites, and giving customized pointers. Since the scope of customers keeps on expanding, so does the degree of insights log documents created, each as far as size and amount. For beyond any doubt gatherings, the by and by utilized innovation are presently insufficient. This work proposes a total work process that utilizes a grouping calculation in ahadoop surroundings to investigate examples of individual leisure activities. The total work process is demonstrated in an utility circumstance of one in everything about greatest B2B e-exchange (B2B) sites for big business to-business endeavor (B2B). Moreover, a trial appraisal technique is utilized to check the pertinence and proficiency of the arrangement of guidelines utilized alongside the related structure.

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Visuo-haptic Simulations to Improve students’ Understanding of Friction Concepts

Visuo-haptic Simulations to Improve Students’ Understanding...

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Frontiers in Education (FIE) Conference

作者： Luis Neri Alejandra J. Magana Julieta Noguez Yoselyn Walsh Andres Gonzalez-Nucamendi Victor Robledo-Rella Bedrich Benes Professor of the School of Engineering and Sciences Tecnologico de Monterrey Mexico City Mexico Associate Professor of Computer and Information Technology and Engineering Education Purdue University West Lafayette Indiana Graduate Student of Computer and Information Technology & Costa Rica Institute of Technology Purdue University West Lafayette Indiana Professor of Computer Graphics Technology and Computer Science Purdue University West Lafayette Indiana

ISBN: (纸本)9781538611753;9781538611746

Statics is a backbone course for several engineering disciplines and also a pre-requisite for dynamics and mechanics of materials. Researchers have identified a lack of understanding of statics as a significant source of difficulties in terms of both conceptual understanding, representation of free body diagrams (FBD) and problem-solving ability. Our approach to improve the learning of the concept of friction focuses on students' understanding of acting forces and specific components of such forces of a system. The presented quasi-experimental study investigates how the use of visuo-haptic simulations can improve students understanding and use of FBD. Specifically, we compared two visuo-haptic simulations; one that explicitly visually depicts FBD of multiple objects interacting with different surfaces, while the other only provides haptic feedback while students engage in the same forms of interaction. Our results suggest that using the visuo-haptic simulator with FBD leads to better learning results. These findings support the hypothesis that appropriately sequenced visuo-haptic simulators with well-designed visual cues can help students to better understand and use FBD.

关键词： Friction Force Haptic interfaces Visualization Rough surfaces Surface roughness Kinetic theory

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Evaluation of computer imaging technique for predicting the SPAD readings in potato leaves

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Information Processing in Agriculture 2017年第4期4卷 275-282页

作者： M.S.Borhan S.Panigrahi M.A.Satter H.Gu Research Specialist Agricultural and Biosystems Engineering DepartmentNorth Dakota State UniversityFargoND 58105USA Electrical and Computer Engineering Technology Purdue University West LafayetteIN 47907USA Agricultural and Biosystems Engineering Department North Dakota State UniversityFargoND 58105USA Graduate Student Computer Science DepartmentNorth Dakota State UniversityFargoND 58105USA Senior Software Developer Psychology DepartmentNorth Dakota State UniversityFargoND 58105USA

Facilitating non-contact measurement,a computer-imaging system was devised and evaluated to predict the chlorophyll content in potato leaves.A charge-coupled device(CCD)camera paired with two optical filters and light chamber was used to acquire green(550±40 nm)and red band(700±40 nm)images from the same *** leaves from 15 plants differing in coloration(green to yellow)and age were selected for this *** based image features,such as mean and variances of green and red band images,were extracted from the *** analyses demonstrated that the variations in SPAD meter reading could be explained by themeangrayandvariances of gray scale *** fitted least square models based on the mean gray scale levels were inversely related to the chlorophyll content of the potato leaf with a R^2 of 0.87 using a green band image and with an R2 of 0.79 using a red band *** the extracted four image features,the developed multiple linear regression model predicted the chlorophyll content with a high R^2 of 0.88).The multiple regression model(using all features)provided an average prediction accuracy of 85.08% and amaximum accuracy of 99.8%.The prediction model using only mean gray value of red band showed an average accuracy of 81.6% with a maximum accuracy of 99.14%.

关键词： computer imaging Chlorophyll SPAD meter Regression Prediction accuracy

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Modeling and analysis of sector clock bias mismatch for navigation with cellular signals

Modeling and analysis of sector clock bias mismatch for navi...

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American Control Conference

作者： Joe Khalife Zaher M. Kassas Graduate student Department of Electrical & Computer Engineering University of California Riverside USA Assistant professor Department of Electrical & Computer Engineering University of California Riverside USA

ISBN: (纸本)9781509045839

The clock bias in different sectors of a cellular base transceiver station (BTS) cell is studied. A dynamical model relating the clock biases in different BTS sectors is identified and validated experimentally. A theoretical estimation error lower bound due to the discrepancy between sector clock biases is derived and demonstrated against Monte Carlo simulation runs. Experimental results of an unmanned aerial vehicle (UAV) navigating exclusively with cellular code division multiple access signals are presented. These results demonstrate a 10.51m reduction in the UAV's position estimation error due to incorporating the developed sector mismatch model into the estimation framework.

关键词： Navigation Cellular Signals

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Pedagogue Performance Assessment (PPA) using Data mining Techniques

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IOP Conference Series: Materials Science and engineering 2018年第1期396卷

作者： Ashily M Baby Graduate Student Dept. of Computer Science and Engg. St. Joseph's College of Engineering and Technology Palai Kerala India

Educational Data Mining (EDM) is a developing domain that exploring pedagogical data by applying different machine learning techniques. It can be considered as a research field which provides intrinsic knowledge of teaching and learning process for effective education. The main objective of any educational institution is to provide quality education to their students. One way to achieve highest level of quality in higher education system is by discovering knowledge that predicts pedagogues performance. This paper presents an efficient system model for evaluation and prediction of pedagogue performance in higher institutions of learning using data mining technologies. To achieve the objectives of this work, three classification algorithms like decision tree algorithms(C4.5), support vector machines (SMO) and artificial neural networks (MLP) are chosen to build classifier models on a dataset. The classifier system was tested successfully using case study data from St. Joseph college of engineering and Technology, Palai. The data consists of the feedbacks that got from the students. The aim of this work is to demonstrate the capability of EDM in illuminating the criteria of fruitful instructor performance as perceived by the students. The result shows the accuracy of classifier models that predicts the performance of pedagogues. Decision tree J48 have higher accuracy of 94.37% than SMO and MLP.

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