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

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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IoT as a Health Guide Tool

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IOP Conference Series: Materials science and engineering 2020年第4期981卷

作者： Dr.S Hrushikesava Raju Dr Lakshmi Ramani Burra Saiyed Faiayaz Waris S Kavitha Associate Professor Dept. of Computer Science and Engineering Koneru Lakshmaiah Educational Education Vaddeswaram Guntur Assitant Professor Dept. of CSE PVP Siddhartha Institute of Technology Kanuru Vijayawada Assistant Professor Dept. of CSE Vignan's foundation for Science Technology and Research Vadlamudi Guntur

Now-a-days, food is very important in order to feed to the live people or animals. It is required to know the statistics about the food in terms of proteins, fat, and factors that increase immunity power. Hence, the proposed methodology called food IoT is developed that will scan the food and displays the statistics that guide details to the customer or client. The details describe about calories that are helpful, the details that will increase fat, the details like food is poisoned, and from the provided statistics, any one could judge the food is useful to feed. This proposed application guarantees the good health because health depends on feeding of food. This is more proactive because it guides which items to be added in case there is less kind of positive minerals and less proteins identified. Hence, a sensor to be required that will display the statistics about the food and is more helpful to the people in order to know category of factors involved in the food. The timed out and mineral less food is identified and could come to be known in this proposed approach. Also, this proposed approach helpful in terms of alerting as a guide based on past experience and reports future predictions about the health as like future weather predictions.

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Insilico L3-L4 Stress Prediction Using Artificial Intelligence Techniques

Insilico L3-L4 Stress Prediction Using Artificial Intelligen...

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IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)

作者： Joshua Nicholas Kosalishkwaran Ganeson Parasuraman Subramaniam C. Deisy School of Engineering (Mechatronics) Monash University Malaysia Associate Professor of Computer Science and Engineering Thiagarajar college of Engineering Madurai

Lumbar L3-L4 are identified as the critical area for lower back pain. The general purpose of this biomechanical study is to explore further on the lower back pain caused by L3-L4 lumbar. Various methods have been used to study the structure and the biomechanical functions of spine. In this study, a model of L3 & L4 lumbar from a CT scan DICOM files are presented with appropriate methodology detailed. Firstly, MIMICS software was used for segmentation of the DICOM files. Following that, to further refine the model from previous software, Geomagic software was used. The disc between the L3 & L4 lumbar was created using Hypermesh and the same software was used to mesh the whole model. Finally, finite element analysis was done on the meshed model using the Ansys software. Using the created 3D model, the safe stress levels are predicted by incorporating Artificial Neural Network with a regression of 0.99966. Lastly, with the same 3D model, classification is done by fuzzy logic differentiating between osteoporosis, low BMD and healthy BMD subjects. The fuzzy logic successfully classified 110 subjects into 28 healthy BMD, 79 low BMD and 3 osteoporosis subjects. The safe stress level and range of motion of different movement for a healthy were obtained. These results can be used as a baseline for further exploration of lower back pain issues and use for determining implant materials.

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Enhancing the agro engineering system using game theory analytics

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IOP Conference Series: Materials science and engineering 2020年第1期992卷

作者： T P Anithaashri G Ravichandran Associate Professor Department of Innovative Informatics Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu India Research Scholar AMET University Chennai Tamilnadu India

The advent of technologies and the impact of computer play an essential role in performing regular activities. The new era of Big Data analytics helps in analyzing the data through primary data and secondary data. By using modern tools to handle Distributed File systems enormous data can be handled and processed with high speed and accuracy in a stipulated time. The use of these emerging trends in all the fields gives better solution and strives the world in all aspects of digitization in a successful manner. To produce high yields in food crops, the agriculture adopted modern industrial systems. By using modern tools and techniques the agricultural production can be increased abundantly. The proposed system will help and attract the common people to invest their hard work and time in agricultural production, and make a huge contribution in the financial growth of the nation. The tractors and agro engineering tools for irrigation systems, are already used to improve the production of food crops. But the lack of advanced techniques such as smart system for monitoring the crop, to look for the strength of the soil through soil analyzer, checking for moisturisation in land and air, etc., are very much needed for proper yield. This system presents the novel framework and initial experimental results shows the feasibility of proposed system.

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Wireless body area network transmissions for iot-based healthcare network: a review

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IOP Conference Series: Materials science and engineering 2020年第1期983卷

作者： A Vinny Mary S Jerine Department of Computer Science Research Scholar Noorul Islam Centre for Higher Education Kumaracoil-629180 Department of Software Engineering Associate Professor Noorul Islam Centre for Higher Education Kumaracoil-629180

This survey reviews how electronically aided health monitor ingand observing systems with wireless body area networks (WBANs) support patient's data analyzing and processing. These technologies in communications domain integrated into conventional medical system and assists as a capable methodology to boost the efficiency of health-care. Wireless body area networks contain dissimilar biosensors are fitted in a patient for analyzing the condition of health continuously. The collected parameters of signals are initially given at a gateway for the accretion of data and then furthered to out-of-the-way medical centers. Patient's smart devices which has internet connectivity act as the gateways in internet of things-based WBANs, each among them generally stands for single patient. A huge volume of medical data congestion will be occurred during the widespread use of IoT-based WBANs, which is leading to an imperative prerequisite with high utilization based efficiency system for radio resource management. Henceforth, this survey examines methodically the management of transmissions of wireless body area network (WBAN) for internet of things-based a network is sculpted as a multi-server priority queueing system with multi-class delay-constrained with. Based on the result of queueing data packet, a mechanism for the arrangement of data packet transmissions for medical purposes with delay constraints is deliberated.

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Navigation Assistance Using an Umbrella

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

作者： S. Prince Mary B. Bharathi Bayana Venkata Sai Ujwala Ravi Laxmipriya Associate Professor Department of Computer Science and Engineering Sathyabama Institute of Science & Engineering Chennai Professor Department of Computer Science and Engineering Sathyabama Institute of Science & Engineering Chennai Student Department of Computer Science and Engineering Sathyabama Institute of Science & Engineering Chennai

Internet of Things (IOT) is one of the fastest growing technologies which allows versatile creation of worldly applications with devices that communicate via computer based systems. It has made way for exceptional innovations which has made our lives assisted and easy. One such example is smart umbrella, which not only acts a shield from rain but also consists of various other features such as alerts of weather and virtual assistance for the elderly. This paper proposes an umbrella which acts as a navigation assistant to pedestrians to reach their respective destinations.

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Data Fusion of Spectral and Visible Images for Resolution Enhancement of Fraction Maps Through Neural Network and Spatial Statistical Features

Data Fusion of Spectral and Visible Images for Resolution En...

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Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS

作者： Fadi Kizel Jón Atli Benediktsson Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India Associate Professor Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India

ISBN: (纸本)9781728115825

A new methodology is proposed for the enhancement of endmember (EMs) fractions' maps. The new method, termed DFNeFE (data fusion through neural-network for fraction estimation), is based on the fusion of a multispectral image, with low spatial resolution (LSR) and a visible RGB image, with high spatial restitution (HSR), through a back propagation neural network (BPNN). First, the fraction maps of a set of EMs are estimated for the spectral image using an accurate unmixing method. Then spatial statistical features (SSFs) are extracted from both images and a BPNN is trained to learn the relationship between the fractions, the visible bands of the HSR image and the SSFs based on invariant points (IPs) which are assumed to have the same land cover type in both the multispectral and visible images. Using an automatic method for IP extraction, we can also apply our method to images that are not co-registered. An evaluation of the proposed method, is carried out using a real data set with two spectral images acquired by Landsat -8 and Sentine1-2 satellites, and an RGB image available in Google Earth. An experimental testing, with relativity to the sparse unmixing by variable splitting and augmented Lagrangian (SUnSAL), shows that the proposed DFNeFE method obtains fraction maps with a significantly enhanced spatial resolution (SR) and an average mean absolute error (MAE) of ~ 4%.

关键词： Neurons Feature extraction Earth Data mining Neural networks Calibration Estimation

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A Novel Approach for Agile Software Development Methodology Selection Using Fuzzy Inference System

A Novel Approach for Agile Software Development Methodology ...

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International Conference on Smart Systems and Inventive Technology (ICSSIT)

作者： Anand Kumar Rai Shalini Agarwal Abhishek Kumar Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India Associate Professor Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India Assistant Professor Department of Computer Science Banaras Hindu University Varansi

ISBN: (纸本)9781538658741

An Agile Methodology of software development has been more popular in the software industry in terms of fast software delivery, less documentation, more satisfaction and more interactions between developers and users. In this paper Fuzzy Inference System based model is proposed to select an appropriate agile method for successful software development. A number of agile methods such as Extreme Programming (XP), Scrum, Feature Driven Development (FDD) and Dynamic System Development Method (DSDM) have been proposed in the literature. Selection of an appropriate method for a given project is a pivotal and a challenging issue. As a solution to this problem, the projects are categorized into four classes namely, Small scale, Medium scale, large scale and safety critical projects, where project size is estimated based on programmer months (PM) and the proposed model is applied to select the most appropriate agile method for each of the project category. MATLAB Simulation results reveal that the proposed model is efficient in predicting the suitability of one of the agile methods.

关键词： Fuzzy logic Software Software engineering Programming Conferences Agile software development Mathematical model

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Privacy preserving query model using inverse laplacian differential technique

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

作者： K Sandhya Rani Kundra J Hyma P V G D Prasad Reddy K Venkata Rao Assistant Professor Department of Information Technology GVPCOE (A) Vishakhapatnam. Associate Professor Department of computer science engineering ANITS Vishakhapatnam. Professor Department of Computer Science & Systems Engineering Andhra University Vishakhapatnam.

Digitalization of data has proven its competent edge in the present digital era, leading to aggregation of mass amounts of data. This segregated data is made expendable by discovering interesting patterns made possible by 'Data Mining'. Setting apart its perks, it possesses a discernible intimidation of outpouring personal information of data owners to anonymous resources. As always privacy is a prime issue of concern, On the other hand trading absolute privacy for loss of certainty of a query may not produce efficient patterns like in in-depth analysis of the source data sets. To maintain a balance among the above mentioned areas of interest 'Privacy Preserving Data Mining (PPDM) using various privacy techniques is employed. The proposed work potentiates the working of privacy protection technique namely differential privacy using privacy parameter ε with heterogeneous adaptable method. In addition, this framework provides a basis for working with the inverse laplacian data distortion for better privacy protection in an interactive query model.

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Self-Awareness for Autonomous Systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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