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Email notifier using named entity extraction

AIP Conference Proceedings 2023年第1期2523卷

作者： K. Anand M. Vijay Anand R. Saravanan 1Department Information Technology Center for Artificial Intelligence and Research Chennai Institute of Technology Chennai Tamil Nadu India 2Department of Computer Science and Engineering Saveetha Engineering College (Autonomous) Chennai Tamil Nadu India 3Department Information Technology Center for Artificial Intelligence and Research Chennai Institute of Technology Chennai Tamil Nadu India

Email plays an essential role in communication and its flexibility, simplicity, diversified types, and low cost of information in the modern world. Therefore handling out a large volume of emails takes are mark able amount of human power and time. To quickly extract the named entities from an email requires an automated solution. So we proposed a tool to extract named entities from emails. This solution incorporates the latest technologies like NLP (Natural Language Processing) and IR (Information Retrieval). This would perform named entities extraction of email automatically organizes and notifies the user. The proposed mechanism can be used in many organizations. Named Entity Recognition (NER) will be a vital language processing tool for information retrieval from texts like newspapers, blogs, and emails. NER performs the classification of words and sensing the expression of text from unstructured data. Spa Cy may be a free, open-source python library for advanced language Processing. It is well known for production use and helps build the system that performs understanding of a text. It helps in information extraction, understanding the plans, and preprocesses the text for deep learning.

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Automation of camel race by controlling DC motor speed using Blynk application through IoT

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AIP Conference Proceedings 2023年第1期2690卷

作者： Chandramma P. Prakash Praful Nandankar H. Roopa I. Kathir Prabhdeep Singh 1Department of Computer Science and Engineering Jain Deemed-To-Be University Bangalore-562112 Karnataka India 2Department of Electronics and Communication Engineering Sri Sairam Engineering College Chennai Tamil Nadu–600044 India 3Department of Electrical Engineering Government College of Engineering Nagpur - 441108 Maharashtra India 4Department of Information Science and Engineering Bangalore Institute of Technology Bangalore–560004 Karnataka India 5Department of Electrical & Electronics Engineering V.S.B. Engineering College Karur–639111 Tamil Nadu India 6Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun - 248002 Uttarakhand India

In this day and age, the D.C motors have been commonly used in many enterprises, sports, kind toys, and in several home appliances since of its outstanding features like reliability, a extensive limit of torque-speed, better performance, good starting torque, lower electrical control range, weight/torque ratio and noise. In contemporary Gulf Arab societies for centuries, camel racing has been part of Arabian culture, in one type or another, with some historians dating races to the seventh century. In this project work, the camel is fitted with the DC motor on its back depend on the speed of the motor the beat stick attached at the end will slash the camel to move fast forward. This allows the camel to acknowledge that still a person is sitting back and driving them. By adhering to the latest technologies like the Internet of Things (IoT) the camel may be driven from a remote location. This proposed method will have a controller like Arduino which acts as a central processing unit for the controlled action of the motor. The ESP8266 module is connected with the Arduino for providing an internet facility for supporting IoT. Blynk, a mobile application provides the platform to control the connected devices online through IoT. Here the DC motor speed set control is given as the slide switch in the Blynk app which in turn controls the speed of the motor through Wi-Fi employing IoT. This makes the racing environment without the case of a vehicle which may drastically reduce the air pollution.

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Erratum: “Uniform Delivery of Silicon Nanoparticles on Device Quality Substrates using Spin-Coating from Isopropyl Alcohol Colloids” [Appl. Phys. Lett. 94, 043112 (2009)]

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Applied Physics Letters 2009年第4期94卷

作者： Osama M. Nayfeh Dimitri A. Antoniadis Kevin Mantey Munir H. Nayfeh 1Department of Electrical Engineering and Computer Science Microsystems Technology Laboratories Massachusetts Institute of Technology 60 Vassar St. Cambridge Massachusetts 02141 USA 2Department of Physics University of Illinois at Urbana-Champaign 1110 W. Green St. Urbana Illinois 61801 USA

A wrong version of Figure 3 was inadvertently printed in the original manuscript. The correct version of this figure is shown below:

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Sensitivity analysis of an inventory model with non-instantaneous and time-varying deteriorating items

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AIP Conference Proceedings 2016年第1期1715卷

作者： A. K. Malik Chandra Shekhar Vikram Vashisth Anuj Kumar Chaudhary S. R. Singh 1Department of Mathematics B.K. Birla Institute of Engineering & Technology Pilani-333031 Rajasthan India 2Department of Mathematics Birla Institute of Technology & Science Pilani-333031 Rajasthan India 3Department of Computer Science Engineering B.K. Birla Institute of Engineering & Technology Pilani-333031 Rajasthan India 4Department of Mathematics CCS University Meerut U.P. India

The sensitivity analysis of an inventory model with non-instantaneous and time-varying deteriorating Items has been studied. Shortages are not considered. To obtain the optimal order quantity and the optimal interval for the total profit, a solution procedure is demonstrated. Numerical example is provided to demonstrate the practical usage of result and sensitivity analysis of the optimal total profit with respect to system parameters is carried out.

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Head shape variations based on a three-shell forward electroencephalographic spherical model

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AIP Conference Proceedings 2022年第1期2425卷

作者： A. Papargiri V. Kalantonis P. Vafeas M. Doschoris F. Kariotou G. Fragoyiannis 1Department of Electrical and Computer Engineering University of Patras 26504 Patras Greece 2Department of Chemical Engineering University of Patras 26504 Patras Greece 3Institute of Genetics and Biometry Leibniz Institute for Farm Animal Biology 18196 Dummerstorf Germany 4School of Science and Technology Hellenic Open University 26222 Patras Greece

The current research is focused on the study of the effect of head shape geometrical deformations to the solution of the forward electroencephalographic (EEG) problem and its sensitivity response. A novel and accurate analytical scheme has been developed by performing a perturbation analysis in the linear regime, where a homogenous three-shell spherical model, equipped with all the necessary mathematical tools, is introduced. The efficacy of the method is demonstrated by incorporating the numerical implementation of the obtained formulae in which both cases, with or without surface deviations, are presented and benchmarked. The suggested procedure provides us with a criterion, which recognizes whether surface perturbations will influence EEG recordings.

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Data mining based chronic kidney disease (CKID) prediction

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AIP Conference Proceedings 2023年第1期2523卷

作者： T. Sathiya D. Geetha J. Surendiran H. Azath T. R. Ganesh Babu 1Department of Computer Science and Engineering Sona College of Technology Salem Tamil Nadu 636005 India 2Department of Information Science and Engineering BNM Institute of Technology Bengaluru Karnataka India 3Department of Electronics and Communication Engineering HKBK College of Engineering Nagavara Bengaluru Karnataka 560045 India 4School of Computing Science and Engineering VIT Bhopal University India 5Department of Electronics and Communication Engineering Muthayammal Engineering College Rasipuram-637408 Namakkal District TamilNadu India

Nowadays, chronic kidney illness (CKD) is one of the significant reasons for mortality, and it has a drawn-out handicap. The inclining factors for CKD incorporate hypertension, cardiovascular sicknesses, diabetes mellitus, and innate kidney issues. Renal substitution treatment is the treatment of decision for CKD. Information mining is an exact strategy that assists with anticipating the illness utilizing different techniques incorporate calculated relapse, Naive Bayes order, k-closest neighbours, and backing vector machine. Aside from these past procedures, it was essential to use an arrangement strategy for information division as indicated by their determination and relapse technique for discovering hazard *** results of the study reveal that the RNN computations show “91.75%” accuracy, and that IPM offers "96.75%" accuracy. This connection has the benefit that the interplay between expectations is less powerful. It will help experts to initiate treatments for persistent patients on time and will help to detect more individuals within a shorter period of time. In this current review, information is ordered utilizing proposed Identification of Pattern Mining, Recurrent Neural Network strategies, and Regression procedures to help diagnose a patient with CKD.

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Generation of electrical energy using road transport pressure at speed breaker

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AIP Conference Proceedings 2021年第1期2327卷

作者： MD. Iqbal Hossain Rupa Akter Mahedi Hasan Ahamed Raihan M. F. Shahriar Khan Fahad Bin Ali Rocky Chakma M. J. Alam S. S. Mahtab 1Department of Electrical and Computer Engineering South China University of Technology China 2Department of EEE Mymensingh Engineering College Mymensingh Bangladesh 3Marine Engineering AMC (Australian Maritime College) University of Tasmania Tasmania Australia 4Department Jahangirnagar University Dhaka Bangladesh 5Department of EEE University of Science and Technology Chittagong Chittagong Bangladesh 6Department of EEE Feni University Feni-3900 Bangladesh

This electric generator is a simple operated electro mechanical system which is controlled by gear and electricity is produced by the generator. This electric generator has been designed by using Sprocket and Chain, Gear, Flywheel, Bearing, spring, Generator, and Battery. Our target was to design and Construct a system that will produce Electricity using road transport pressure. When pressure is created on the pressure lever, the wheels of designated system rotate thoroughly and this rotation of wheels produce electricity in dc generator. The generated electricity may be used to meet the local demand. This may solve partially the national power generation problem.

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An internet of things toward a novel smart helmet for motorcycle: Review

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AIP Conference Proceedings 2021年第1期2320卷

作者： Agung Pangestu M. N. Mohammed S. Al-Zubaidi Siti Humairah Kamarul Bahrain Ariep Jaenul 1School of Graduate Studies Management & Science University 40100 Shah Alam Selangor Malaysia 2Department of Engineering & Technology Faculty of Information Sciences and Engineering Management & Science University 40100 Shah Alam Selangor Malaysia 3Department of Automated Manufacturing Engineering Al-Khwarizmi college of Engineering University of Baghdad Baghdad 10071 Iraq 4Department of Electrical Engineering Faculty of Engineering and Computer Science. Jakarta Global University 16412 Depok West Java Indonesia

In nowadays scenario, many accident cases of two-wheeler are occurred on road causing death. Such accidents cause intensive head injuries in spite of availability of helmet anywhere, individuals are not using them for shelter. The system of smart helmet is utilized to avoid motor bikes accidents and to recognize them at real time in order to maintain safety of human being. The IoT based-technology of smart helmet is a crucial issue, which improves safety of two-wheeler driving than, exist one. For time being, this technology is fruitful that and producing an assortment of items with excellent quality components in different industrial branches. All through the long time since its beginning, a number of advances to the smart helmet were developed and utilized around the world. The most point of this paper is to classify the currently utilized smart helmet technologies and show a comprehensive survey of these advances.

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Segmentation of breast cancer using fuzzy C means and classification by SVM based on LBP features

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AIP Conference Proceedings 2022年第1期2405卷

作者： M. Malathi P. Sinthia G. Aloy Anuja Mary M. Nalini Fareen Farzana Wahed 1Department of Electronics and Communication Rajalakshmi Institute of Technology Chennai 600 124 India 2Department of Biomedical Engineering Saveetha Engineering College Chennai 602105 India 3Department of Electronics and Communication Engineering Vel Tech RangarajanDrSagunthala R&D Institute of Science and Technology Chennai 600 062 India 4Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602105 India 5Department of Electronics and Communication Engineering Saveetha Engineering College Chennai 602105 India

Recent years many women are affected by breast cancer. Mammogram is one of the early breast cancer diagnosis techniques used to identify the abnormal regions of breast. The recommended research work uses Fuzzy C-means segmentation algorithm to locate the wound area of mammogram breast image. Further the features of abnormal regions were extracted using Local Binary pattern (LBP) techniques. The statistical features are Entropy, Mean, RMS (Root Mean Square), correlation helps to train the neural network. Finally SVM (Support Vector Machine) classifier is utilized to categorize the abnormal regions of mammogram images with the accuracy rates of 86%.

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Publisher's Note: “Differential voltage amplification from ferroelectric negative capacitance” [Appl. Phys. Lett. 111, 253501 (2017)]

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Applied Physics Letters 2018年第8期112卷

作者： Asif I. Khan a) Michael Hoffmann Korok Chatterjee Zhongyuan Lu Ruijuan Xu Claudy Serrao Samuel Smith Lane W. Martin Chenming Hu Ramamoorthy Ramesh Sayeef Salahuddin 1School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia 30326 USA 2Department of Electrical Engineering and Computer Sciences University of California Berkeley California 94720 USA 3Department of Material Science and Engineering University of California Berkeley California 94720 USA 4Department of Physics University of California Berkeley California 94720 USA 5Material Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA

This article was originally published online on 18 December 2017. Due to a production error, the initially-published version contained several typographical err

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