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Process Capability & Fascinating applications of Friction Stud welding

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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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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Deep Learning – A Review

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IOP Conference Series: Materials science and engineering 2020年第3期912卷

作者： Vamsi Madhav Kota V Manoj Kumar C Bharatiraja Post-Graduate Student Department of Mechanical Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Assistant Professor (Sr.G) Department of Mechanical Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Associate Professor Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India

In recent years, tech giants in various parts are showing Curiosity on Artificial Intelligence by investment on the project that can be a game-changer for both corporate and researchers. A company such as Google, Baidu, and Yandex have already started their multimillion-dollar project in this pitch. This article presents the latest progress and also tries to paint a predictive picture of future research directions and developments in the domain of deep learning. Each of the said research directions and avenues is analyzed and summarized in a brief yet concise manner in this article. Initially, an outline of the three elementary models of deep learning that including multilayer perceptions and perceptrons, convolutional neural networks and recurrent neural networks. Building on the bases of foundation, further analyses of the emerging new types of convolutional neural networks and recurrent neural networks are also undertaken in this current study. This article then summarizes deep learning and its applications in the domain of artificial intelligence, counting speech processing, computer vision, and natural language processing. Finally, the purpose of deep learning is discussed. The current article also delves a little deeper into the inner workings of the neural networking architecture associated with object detection and computer vision.

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Road infrastructure asset management strategy and its impact on the environment

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IOP Conference Series: Materials science and engineering 2020年第2期830卷

作者： K Priyatiningsih M Sutrisno Lecturer of Asset Management Study Program Politeknik Negeri Bandung Bandung 40012 Indonesia Student of Management Science Doctoral Program School of Post Graduate Universitas Pendidikan Indonesia Bandung Indonesia Lecturer of Civil Engineering Politeknik Negeri Bandung Bandung 40012 Indoenesia

The development of the economic sector is determined by services to the public through reforms that aim to place public satisfaction through the management of road infrastructure assets. Some research on road infrastructure assets still requires a deepening of studies related to the delivery of public services related to asset management systems. The purpose of this study is to find an appropriate road infrastructure asset management strategy through an integrated asset management system and asset management policies that can provide public satisfaction. This comprehensive approach to management strategies ensures that the performance of service provider assets is in line with the expectations of stakeholders including road users. This descriptive qualitative research is based on the perspective of road users as respondents, consisting of vehicle drivers from 50 transportation companies (people or goods) through interviews and observations. The results show aspects of asset performance based on the user's perspective there are five aspects, namely productivity, efficiency, effectiveness, use of resources and institutions and this performance is integrated in the asset management system related to policies from the management authority through service delivery namely quality and mobility, risk and use and maintenance of resources. The conclusion of this research is that road infrastructure asset services can be improved through the concept of road infrastructure asset management strategies in an integrated management system with five aspects of performance and more directed towards asset management policies related to the provision of road infrastructure asset services.

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Usability testing mozita application based on use questionnaire model

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Journal of Physics: Conference Series 2020年第1期1524卷

作者： M F Rizal A P Widodo K Adi D E R Riyanto O D Nurhayati Master of Information System School of Post Graduate Diponegoro University Department of Informatics Faculty of Science and Mathematics Diponegoro University Department of Physics Faculty of Science and Mathematics Diponegoro University Department of Computer Engineering Faculty of Engineering Diponegoro University Jl. Prof Soedarto SH Tembalang Semarang 50275 Indonesia

Mozita is an application used by midwives to record and report the toddler nutritional status in the local health center (Puskesmas). In addition to nutritional status information, Mozita can present information that is used by heads of puskesmas, district health offices and provincial health offices for monitoring and decision making in terms of health policy based on nutritional status. To be able to increase application usage, feedback from users is needed. With USE Questionnaire-based usability testing covering aspects of Usefulness, Satisfaction and Easy of Use. Usability testing is focused on the interaction part of the user interface (midwife), as the main source of data collection. This study used 15 midwife respondents who were randomly drawn from puskesmas in the city area of Semarang. The technique used to measure usability testing is to provide an explanation and guidelines for using the Mozita application before respondents fill in the questionnaire using a Likert scale from 1 to 7. The questionnaire used is equipped with in-depth interviews for question items whose Likert scale value is less than equal to 3 The indepth interview aims to provide a focus on improving the Mozita application interface to suit user needs. The results of usability testing that has been done on the Mozita application shows that the value of the Usefulness component is 84.52%, Easy of Use is 83.53%, Easy of Learning is 80.95%, and Satisfaction is 85.03%. Based on the value of each component measured shows that the Mozita application has a high usability value that is equal to 83.52%, and makes it easy for users to carry out work more efficiently. Some user feedback related to satisfaction aspects, especially in the Mozita application layout section is still simple needs to be done for a better layout design.

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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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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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Performance Analysis of Linux Container and Hypervisor for Application Deployment on Clouds

Performance Analysis of Linux Container and Hypervisor for A...

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International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS)

作者： Shivananda R. Poojara Vishal B. Ghule Mahantesh N. Birje Nagaraj V. Dharwadkar Dept. of Computer science and Engineering Rajarambapu Institute of Technology Sakhrale India Center for Post Graduate Studies Visvesvaraya Technological University Belagavi India

ISBN: (纸本)9781538677100

Application deployment on cloud is done by using Virtual machine (VM) or Linux containers (LXC). While deploying applications on cloud we consider performance and overhead given by VMs. Performance of the VMs can impact overall performance of cloud service. We have carried out the performance analysis of the LXC and VM. The performance of VM and LXC is analyzed considering the resources like CPU, RAM, Hard Disk and HTTP Server. Xenserver is chosen as VM. In performance comparison, we used Bare-metal as the ideal case. Bare-metal is the OS directly installed on the top of Hardware. The performance of LXC is nearly same to Bare-metal and in a superior way than VM in each aspect. As Bare-metal and LXC can access hardware without any virtualization layer, both can utilize the hardware in a superior way than VM.

关键词： Hardware Virtual machine monitors Virtualization Containers Linux Cloud computing Random access memory

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Identifying irregularity electricity usage of customer behaviors using logistic regression and linear discriminant analysis 3

Identifying irregularity electricity usage of customer behav...

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3rd International Conference on science in Information Technology, ICSITech 2017

作者： Lawi, Armin Wungo, Supriyadi La Manjang, Salama Department of Computer Science Post-graduate Program of Electrical Engineering Dept. Electrical Engineering Universitas Hasanuddin Makassar Indonesia

ISBN: (纸本)9781509058662

This study aims to implement a machine learning technique in identifying the irregularities of customer behavior on the use of prepaid electricity pulses. The methods used are Linear Discriminant Analysis and Logistic Regression. The performance of the classification system will be evaluated using the 10-fold cross-validation technique. Validation results are measured using accuracy, precision and recall values. In this research shows that the use of machine learning technique has a good performance in classification of electrical consumption behavior. Experimental results with the different amount of data testing indicate that Logistic Regression method has high accuracy, precision, and recall value when compared with Linear Discriminant Analysis that is 100%. This is due to Logistic Regression method can predict irregularities accurately because the addition of the amount of data does not affect the performance of the method. © 2017 IEEE.

关键词： Regression analysis

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Analysis of Frequency Offset, its Distribution and its Impact on Multicarrier Spread Spectrum Techniques

Analysis of Frequency Offset, its Distribution and its Impac...

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International Conference on Advanced Research in engineering sciences (ARES)

作者： Kashif Iqbal Junaid Ahmed Atifa Rafique Salman Ahmad Department of Electrical Engineering University of Wah Wah cantt Pakistan Department of Electrical Engineering COMSAT University Islmabad Pakistan Department of Computer Science & IT Govt Post Graduate College for Women Rawalpindi Pakistan

ISBN: (纸本)9781538648452

Multi carrier is the utmost technology before preceding towards 5G. Code Division Multiple Access (CDMA) is a basic spreading technique. Multi Tone CDMA (MT-CDMA), Multi Carrier CDMA (MC-CDMA), and Multi Carrier Direct Sequence CDMA (MC-DS-CDMA) are three types of Multi Carrier Spread Spectrum (MCSS). Carrier frequency offset (CFO) is one of the factors, which give birth to MAI and ICI. These interferences deteriorate the Spectral Efficiency(SE) of the network. Interesting fact is CFO among the subcarriers, spectral efficiency will increase with increase in the CFO. In this paper, we have compared two distributions of CFO "truncated-Gaussian, and uniform ". There is a significant increase in the performance of MCSS with increase in the variance of CFO. Another interesting fact, spectral efficiency also increases with increase in the SINR and number of interferers. Conclusively uniform Probability Density Function (PDF) of CFO outperforms truncated Gaussian PDF of CFO in all the three cases.

关键词： Spectral efficiency Multicarrier code division multiple access OFDM Interference Estimation Transmitters

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