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International Conference on Communication, Computing and Internet of Things (IC3IoT)

作者： VM Sundharam M.S. Sriramm Priya Pachhaiammal Computer Science and Engineering Sri Sairam Institute of Technology Chennai India Assistant Professor Computer Science and Engineering Sri Sairam Institute of Technology Chennai India

ISBN: (纸本)9781538624609;9781538624593

The ideology of the people has changed over the decades, with the people's interest shifting towards a more closed environment, thinking about themselves, rather than their environment, consisting of their kith and kin and others. The result of this isolation is that the mental psychology of the people changes in accordance with the technological advancement. The major disadvantage is that the people's mental psychology could not be identified to follow any specific pattern. But the root of the tree is clear, the technology. Hence the analysis of the behavior of the user is done by allowing them answer a series of questions.

关键词： Handheld computers Internet of Things Amplitude modulation

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IoT based saline level monitoring system

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IOP Conference Series: Materials science and engineering 2020年第3期981卷

作者： G. Sunil Srinivas Aluvala G. Ranadheer Reddy Vedantham Sreeharika Parupally Sindhu Sriramula Keerthana Department of Computer Science and Engineering S R Engineering College Warangal Telangana India School of Computer Science and Artificial Intelligence S R University Warangal Telangana India Assistant Professor Department of Computer Science and Engineering Sumathi Reddy Institute of Technology for Women Warangal Telangana India B. Tech Student Department of Electronics and Communication Engineering S R Engineering College Warangal Telangana India B. Tech Student Department of Computer Science and Engineering S R Engineering College Warangal Telangana India

In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observation of nurses is mandatory in monitoring the level of the saline. There are many cases where patients are being harmed due to the staff inattentiveness, as their absence does not notice the completion of saline level in the container. This arise the problem of back flow of blood immediately after the completion of saline in container. Hence to protect the patient from getting harmed an IoT based saline level monitoring system has been developed. The proposed model incorporates a sensor which continuously detects the saline drops. Whenever the sensor does not detect the drops for a certain interval it alerts the staff of the hospital with the buzzer, helping to monitor the safety of the patients.

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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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Experimental study on usage of industrial waste in road construction

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AIP Conference Proceedings 2020年第1期2277卷

作者： M. G. Prathap N. Balaji J. S. Sudarsan 1Research Scholar Department of Civil Engineering SRM Institute Of Science And Technology Kattankulathur Chengalpet District-603203 Tamilnadu India 2Assistant Professor Department of Mathematics College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai Tamilnadu India 3Assistant Professor School of construction management National Institute of Construction Management and Research (NICMAR) Pune-411045 Maharastha India

The Industrial Waste (phosphogypsum) is a waste product which was produced from the chemical industries. This waste material is used in concrete. It is ancient technique of converting the waste materials into value added products. When the industrial waste is utilized in construction industry, it may increase the availability of materials used for construction purpose and also reduces the expenditure made for disposal. It also reduces the pollution to the environment. The substitute material for changing materials used for laying pavement is got from industrial waste with agriculture based industrial waste. The main aim of this study deals with experimental investigation of test on concrete such as on compressive strength, flexural test, split tensile test, Characteristics of partial replacement of cement with 10%, 20%, 30% of Industrial Waste(phosphogysum). From this it was seen that when there is 20% replacement of cement with industrial waste, it gives a good test result then the other mix percentage. This type of concrete with industrial waste is very suitable for laying rigid pavement.

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A Comprehensive Survey of Spam Profile Detection Methods in Online Social Networks

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Journal of Physics: Conference Series 2019年第1期1362卷

作者： R. Krithiga E. Ilavarasan Assistant Professor Department of Computer Applications Perunthalaivar Kamaraj Arts College Puducherry Professor Department of Computer Science & Engineering Pondicherry Engineering College Puducherry

Social networks have grown into a popular way for internet surfers to interact with friends in addition to family members, reading news, and also discuss events. Users spend more time on popular social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information. This fact together with the prospect of communicating thousands of users fascinates the concentration of malicious users. They exploit the implicit trust interactions concerning users with the purpose of accomplishing their malicious objectives, for instance, create malicious links inside the posts/tweets, spread fake news, send out unsolicited messages to genuine users and so on. In this paper, we reviewed various existing techniques on spam profile detection in online social networks.

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Goal Programming Model for Optimizing Working Capital Management: Case of Tire Retreading Company

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Journal of Operations and Strategic Planning 2018年第2期1卷 148 - 167页

作者： Arunkumar O. N. Divya D. Tony Mathew Associate Professor Department of Mechanical Engineering Sree Narayana Gurukulam College of Engineering Kadayiruppu Kolenchery Ernakulam Kerala India. Assistant Professor Department of Computer Science and Engineering Adi Shankara Institute of Engineering and Technology Vidya Bharathi Nagar Mattoor Kalady Ernakulam District Kerala India. Assistant Professor Department of Mechanical Engineering Kottayam Institute of Technology and Science Kottayam Kerala India.

This article discusses goal programming model for optimizing working capital management (WCM) of a tire manufacturing company. The mathematical model is run for the years 2008–2009 to 2012–2013 and values of the respective goals are taken from it. The validation for the model values with the actual values from the financial data are carried out to check the significance of the model values. The significance test is carried out in one sample t-test. It is observed that all the values got from the model are significant. The sales of the company for the year 2013–2014 is forecasted from the past data by linear regression using Microsoft Excel as a trend line. The model is used to 2analyze the values of variables of WCM for the year 2013–2014 to achieve a 30 percent return on assets (ROA) for the forecasted sales.

关键词： Working capital management goal programming LINGO tire manufacturing firm

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Analysis of KNN Algorithm with Mapreduce Technique on Big Data

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

作者： Tatikonda Bhavana J. Padmavathy R. Sethuraman J.K. Jeevitha UG Scholar Sathyabama Institute of Science and Technology Chennai. Assistant Professor Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai. Assistant Professor PSNA College Engineering and Technology

Due the fast growth of new technology application like social media analysis, web data analysis and medical information network analysis, here the various types of data are processed frequently. The large amount of effective data management and analysis is very vital goal. To reduce the data processing complexity, time complexity, and space complexity in Big Data, the paper going to propose the k-nearest neighbor join (KNN) operation. KNN is used to find the K nearest points in S. It is a computational task that will handle the large range of applications such as knowledge discovery or data mining. When the volume and the dimension of data increases, then only distributed approaches can perform the big operations in a given time. Recent works have done on implementing the efficient solutions using the map reduce programming model because it is used for distributing the large scale data processing. Although these works provide different solutions for the same problem, each one has particular constraints and properties. This paper compares the existing of different computation of KNN on MapReduce. First the paper compares the solutions in to three steps for KNN computation on MapReduce: 1) Data processing, 2) Data partitioning and 3) Computation. The Experiment in this paper explains the variety of different data sets, and analyzes the data volume, data dimension and the value of k from many perspectives like time and space complexity, and accuracy.

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Pixel Based Supervised Classification of Hyperspectral Face Images for Face Recognition

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Procedia computer science 2018年 132卷 706-717页

作者： Shwetank Neeraj Jitendra Vikesh Kamal Jain Department of Computer Science Gurukula Kangri Vishwavidyalaya Haridwar India Professor and Director Neelkanth Group of Institutions Meerut India Professor Department of Civil Engineering IIT Roorkee India

Hyperspectral facial data presents creative information, taken with Hyperspectral camera, as compared to the traditional camera and images. This facial spectral dataset is a rich source of information extraction and analysis over traditional single band data with constant wavelength of Electromagnetic Spectrum (EMS). Herein study, Hyperspectral Image (HSI) classification and recognition have done in Visible to Near Infrared (NIR) region using supervised classifiers: Maximum Likelihood, Minimum Distance and SAM (Spectral Angle Mapper) . The experiment is performed on CMU Hyperspectral Face Datasets (HFDS) within the spectral range of 610 to 1050 nm (VIR-NIR), having 45 spectral bands using ENVI 4.8 image processing tool. Supervised classification is performed using conventional supervised classifiers (MLH, MDA and SAM) on pre-processed HSI, further compressed dataset has classified by PCA MLH , PCA MD and PCA SAM classifiers.

关键词： Hyperspectral Supervised Classification Maximum Likelihood PCA

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IKP based biometric authentication using artificial neural network

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AIP Conference Proceedings 2020年第1期2271卷

作者： M. Viswanathan Ganesh Babu Loganathan S. Srinivasan 1Lecturer Computer Science Department Cihan University Duhok KRG Iraq 2Assistant Professor Research CenterTishk International University Erbil KRG Iraq 3Asst. Professor EEE Department Panimalar Engineering College. Chennai India

The primary objective of this paper is to verify individuals as indicated by their finger surfaces. We propose to remove Finger Texture (FT) highlights of the two finger pictures (center, ring) from a low goal contactless hand picture utilizing LBP strategy. The utilization of Inner-Knuckle-Print (IKP) in biometric recognition is the most broadly proposed validation work. The unique characteristics of the IKP give us the requirement for recognizable proof. During the IKP filtering process, the image created by the scanner might be partially unique. This paper proposes artificial neural networks for effectively coordinating procedures to IKP validation. By utilizing the Back-Propagation method, the algorithm coordinates IKP and relates them to a novel accomplished client. After grouping, the procedure restores to the best counterpart for the given finger impression variables.

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Perspectives for the Use of Digital Technologies in the Agricultural Sector in Order to Optimize Agricultural Operational Processes

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IOP Conference Series: Earth and Environmental science 2021年第3期666卷

作者： A L Zolkin E V Matvienko M V Shavanov Ph.D. in Engineering Science Senior Lecturer of Computer and Information Sciences Depatment of the Povolzhskiy State University of Telecommunications and Informatics Ph.D in Biological Science Junior Researcher of the Laboratory of Breeding and Seed Farming of Cereal and Sorghum Crops Volga NIISS - branch of the Samara Scientific Center of the Russian Academy of Sciences Assistant Professor of Horticulture and Viticulture Department of the Federal State Educational Institution of Higher Professional Education Chechen State University

The article deals with issues of impact of the digital economy on the development of agriculture, it determines the degree of influence of information technologies on agricultural production processes, presents the types of information received from farmers and proposes process solutions for digitalization of production for each agricultural producer. The main directions of digitalization of breeding and seed production have been considered. It has been established that digital technologies make it possible to achieve the intended results faster and more efficiently and to reveal the fullest genetic potential of plants.

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