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Weather Prediction Using Multi Linear Regression Algorithm

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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Fall classification based on sensor data from smartphone and smartwatch

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AIP Conference Proceedings 2019年第1期2112卷

作者： Surya Suresh Mihir Jain Radha Ramadoss Department of Computer Science and Engineering SRM Institute of Science and Technology Kancheepuram Dt. Tamil Nadu Kattankulathur-603203 India Department of Computer Science and Engineering SRM Institute of Science and Technology Kancheepuram Dt. Tamil Nadu Kattankulathur-603203 India Assistant Professor Department of Computer Science and Engineering SRM Institute of Science and Technology Kancheepuram Dt. Tamil Nadu Kattankulathur-603203 India

A fall is an unintentional event in which a person comes to rest on the ground/floor/a lower level. Falls are the second driving cause of inadvertent injury deaths around the world. Falls pose a major health risk to children and the elderly (especially above the age of 65). Injuries from falls make it difficult for an individual to move around, do regular activities, or live on their own. Hence, studies on methods able to recognize Activities of Daily Living (ADLs) and to identify falls is on the rise. The acknowledgment of ADLs may permit to gather the sum of physical activity that a subject performs daily, whilst the timely identification of falls may aid in diminishing their consequences. To improve the accuracy of the classifier, the data from smartwatches and smartphones are combined. There are not many publicly accessible datasets incorporating data from both smartwatchesand smartphones. Hence, the data will be collected independently. The Decision tree (J48) classifier will be used to classify the falls. The evaluation metrics include: Precision, Recall, F1 Score and the confusion matrix.

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Keep Your Friends Close and Your Colleagues Nearby: The Hidden Ties That Improve STEM Education

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Change 2019年第1期51卷 42页

作者： Mestre, Jose P. Herman, Geoffrey L. Tomkin, Jonathan H. West, Matthew Jose P. Mestre (mestre@illinois.edu). A theoretical nuclear physicist by training Mestre’s research focuses on the learning of physics contributing in areas such as the acquisition and use of knowledge by experts and novices transfer of learning problem solving and instructional design. He has offered Congressional testimony on The Science of Learning has published numerous articles and books and is a Fellow of the American Physical Society.http://***/0000-0003-2110-1954 Geoffrey L. Herman (glherman@illinois.edu). Herman has a Ph.D. in Electrical and Computer Engineering and is a Teaching Assistant Professor in Computer Science and a Research Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois. His research focuses on how students learn engineering and computing concepts and studying processes for creating systemic instructional change in college settings. Previously he was a postdoctoral researcher in Engineering Education at Purdue University.http://***/0000-0002-9501-2295 Jonathan H. Tomkin (tomkin@illinois.edu). Tomkin is a mathematically based geoscientist with two research focus areas: first he uses models and large data sets to determine how climates glaciers tectonics and landscapes interact. Second he explores how new technological and organizational approaches can improve STEM education. He produced the first geoscience MOOC is the editor of an open-source textbook and has published widely in both geoscience and STEM education. Matthew West (mwest@illinois.edu). Matthew West is an Associate Professor of Mechanical Science and Engineering at the University of Illinois with research interests in scientific computing that include time integration of deterministic and stochastic systems distributed computation and particle methods for simulation and estimation. In education he researches computer-based assessment and the development of innovative teaching cultures. Professor West is a University of Illinois Distinguished Teacher-Scholar and Colleg

A science department on the campus of the University of Illinois has received numerous national awards for excellence in undergraduate teaching. The secret to their success? For nearly two decades, they have collaboratively used evidence-based instructional practices (EBIP) in their introductory level courses. Despite these successes and efforts to spread their EBIP, no other departments followed this department's lead. Then, suddenly six years ago, many instructors from other departments began adopting EBIP in their classrooms. This article asks what was the catalyst for this change? Why had previous attempts at institutional change failed? The authors answer these questions by analyzing their efforts to transform the teaching practices in large-enrollment science and engineering introductory courses on their campus.

关键词： STEM Education Evidence Based Practice Teaching Methods Undergraduate Study College Faculty Educational Change Communities of Practice Mentors School CultureIllinois

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A game based virtual campus tour

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Journal of Physics: Conference Series 2018年第1期1000卷 012131-012131页

作者： Sulthana, A Razia Jovith, A Arokiaraj Saveetha, D Jaithunbi, A K Assistant Professor Department of Information Technology SRM University TamilNadu India Assistant Professor Department of Computer Science and Engineering RMD Engineering College TamilNadu India

The aim of the application is to create a virtual reality game, whose purpose is to showcase the facilities of SRM University, while doing so in an entertaining manner. The virtual prototype of the institution is deployed in a game engine which eases the students to look over the infrastructure, thereby reducing the resources utilization. Time and money are the resources in concern today. The virtual campus application assists the end user even from a remote location. The virtual world simulates the exact location and hence the effect is created. Thus, it virtually transports the user to the university, with the help of a VR Headset. This is a dynamic application wherein the user can move in any direction. The VR headset provides an interface to get gyro input and this is used to start and stop the movement. Virtual Campus is size efficient and occupies minimal space. It is scalable against mobile gadgets. This gaming application helps the end user to explore the campus, while having fun too. It is a user friendly application that supports users worldwide.

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Use of ICT for sustainable transportation

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IOP Conference Series: Earth and Environmental Science 2018年第1期150卷

作者： P Agarwal M A Alam Assistant Professor Department of Computer Science and Engineering Jamia Hamdard New Delhi India Professor Department of Computer Science and Engineering Jamia Hamdard New Delhi India

The world is experiencing an unfettered growth in terms of development but shrinking the way these developments are leading to the societal, economic and environmental changes and chaos. Sustainability is the answer and needs to be addressed effectively. ICT (Information and Communications Technology) has revolutionized the way things can change. This paper deals with sustainable transportation. Sustainable transport system is a sub topic of a bigger issue 'Sustainable Development'. So what does this imply? ICT, can indeed enable the designing of smarter cities that offer a better quality of life for their residents while being more sustainable and cost effective. It is not just the citizens of a country but also the government that can gain benefit from initiatives and meet the objectives faster. This paper digs into the traditional transport systems and the sustainable transport system which we thrive for. Green vehicles/Electric Vehicles/Driverless cars/Hybrid vehicles are the need of the hour. This paper extensively explores the issues and inventions that can lead to sustainable transportation. It further explores the problems associated with them and their solutions. These solutions cover the major aspects of sustainability like meticulous planning, correct usage of ICT and a well drafted and implemented governance framework.

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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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An efficient collaborative approach for black hole attack discovery and mitigating its impact in manet

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AIP Conference Proceedings 2018年第1期1952卷

作者： K. Devipriya B. Persis Urbana Ivy D. Prabha 1Assistant Professor Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India 2Professor and Head Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India 3Associate Professor Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India

A mobile ad hoc network (MANET) is an assemblage of nodes composed of mobile devices coupled in various ways wirelessly which do not have any central administration. Each node in MANET cooperates in forwarding packets in the network. This type of collaboration incurs high cost but there exits nodes that declines to cooperate leading to selfish conduct of nodes which effects overall network performance. To discover the attacks caused by such nodes, a renowned mechanism using watchdog can be deployed. In infrastructure less network attack detection and reaction and high false positives, false negatives initiating black hole attack becomes major issue in watchdog. This paper put forward a collaborative approach for identifying such attacks in MANET. Through abstract analysis and extensive simulation of this approach, the detection time of misbehaved nodes is reduced and substantial enhancement in overhead and throughput is witnessed.

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Investigation of Surface Roughness for Inconel 625 using Wire Electric Discharge Machining

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IOP Conference Series: Materials Science and engineering 2018年第1期377卷

作者： Ashish Goyal Anand Pandey Pooja Sharma Assistant Professor Department of Mechanical Engineering Manipal University Jaipur 303007 India Associate Professor Department of Mechanical Engineering Manipal University Jaipur 303007 India Associate Professor Department of Computer Science & Engineering Manipal University Jaipur 303007 India

Due to the increase in the demand of materials with good surface finish and complex shapes, conventional machining processes became out of date. This directed to the increasing demand of non-conventional machining processes. This research work is focuses on the optimization of Surface Roughness (SR) using Wire Electrical Discharge Machining (WEDM) method on Inconel 625 super alloy material. The diffused wire tool electrode (plain and cryo-treated) is used for experimental work. Taguchi's L18 (21*35) orthogonal array's has been used to design for experimental run. The machining parameters selected for optimization are tool electrode, current (Ip), pulse on time (Ton), pulse off time (Toff), wire feed (Wf) and wire tension (Wt). Rectangular slits has been fabricated, which are useful for many industrial application like increase the heat transfer rate of fluids, micro-channels, micro-fins etc. Design of Experiment (DoE) optimization technique is used to find the most significant factor.

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A Study on Various Methods for Mining Energy Consumption pattern from Smart Home Big Data

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

作者： Jemeema Maria John Hima Anns Roy P.G Scholar Department of Computer Science and Engineering St Joseph's College of Engineering and Technology Palai India Assistant Professor Department of Computer Science and Engineering St Joseph's College of Engineering and Technology Palai India

Houses are the main source of electrical energy consumption. Getting information about energy consumption pattern from smart homes are of vital importance. It helps in analyzing the behaviour of inhabitants and that of the equipments. Smart meters in homes collect large volume of data each day. Data mining techniques can be used to get relevant information from the smart home big data. Data mining helps in easily predicting the consumption patterns of various equipments. Forecasting energy consumption pattern helps in better energy management plans. The techniques that are used for mining and predicting energy consumption patterns are mentioned in this paper.

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A Review on Various Techniques used in Predicting Pollutants

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

作者： Aiswarya Baby Aneena Ann Alexander P.G Scholar Department of Computer Science and Engineering St Joseph's College of Engineering and TechnologyPalai India Assistant Professor Department of Computer Science and Engineering St Joseph's College of Engineering and TechnologyPalaiIndia

Pollution is now becoming a biggest problem in today's age. In numerous nations, because of the high number of vehicles that are accessible on the streets, air contamination has progressed toward becoming a difficult issue. This eventually leads to emission of different gases. So there is a need to predict the amount of emission beforehand. There have been various research commitments in the region of anticipating toxins. Artificial intelligence (AI) are often employed where a problem requires estimation or prediction. Most of the methods used are based on neural network, fuzzy logic, hybrid methods and others. This paper discusses findings and limitations of existing contributions in the field of pollution prediction.

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