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3rd IEEE World Engineering Education Conference, EDUNINE 2019

作者： Huamani, Gloria Tocto, Paul Andersson, Christina Dept. of Production Management National University of Engineering Peru Dept. of Computer Science and Engineering Frankfurt University of Applied Sciences Germany

ISBN: (纸本)9781728116662

The purpose of the research is to establish behavior patterns to facilitate the mobility of the students. In this article, we present a component of a model to manage student mobility in the context of Industry 4.0. The component, called SADEAF, is a Decision Support System, based on Felder's Index of Learning Styles. With this system, the learning style of the students can be identified in a digital way. Knowing the learning style of students can facilitate the management of student mobility and, in turn, also strengthen the self-knowledge of the students. The lecturers can use this information for partitioning the students into appropriate groups in the lectures and exercise sessions in university education. In this study, the SADEAF system was applied in two universities, one in Peru and the other in Germany, between 2017 and 2018. Descriptive statistics is used to present the preliminary results concerning the learning styles among the engineering students at these two universities. © 2019 IEEE.

关键词： Students

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Clustering based Adaptive Differential Evolution for Numerical Optimization

Clustering based Adaptive Differential Evolution for Numeric...

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Congress on Evolutionary Computation

作者： Bilal Millie Pant Garima Vig Dept. of Applied Science & Engineering Indian Institue of Technology Roorkee Roorkee India Dept. of Computer Science Engineering College of Engineering Roorkee Roorkee India

ISBN: (数字)9781728169293

ISBN: (纸本)9781728169309

In this paper, a fuzzy C-means clustering approach is suggested for segregating the initial population of Differential Evolution (DE) on the basis of the membership function. The proposed algorithm called FCADE further incorporates adaptive crossover and mutation strategies into the segregated population. Three variants of FCADE are proposed and are applied to selected CEC2005 benchmark problems. The results, when compared with some of the well-known adaptive algorithms indicates the competence of the strategies proposed in the present study in enhancing the performance of the DE algorithm.

关键词： Sociology Statistics Clustering algorithms Benchmark testing Heuristic algorithms Linear programming Optimization

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mathTools: An open API for convenient mathML handling

arXiv

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arXiv 2021年

作者： Greiner-Petter, André Schubotz, Moritz Cohl, Howard S. Gipp, Bela Dept. of Computer and Information Science University of Konstanz Box 76 Konstanz78464 Germany Applied and Computational Mathematics Division National Institute of Standards and Technology Mission ViejoCA92694 United States

mathematical formulae carry complex and essential semantic information in a variety of formats. Accessing this information with different systems requires a standardized machine-readable format that is capable of encoding presentational and semantic information. Even though mathML is an official recommendation by W3C and an ISO standard for representing mathematical expressions, we could identify only very few systems which use the full descriptiveness of mathML. mathML's high complexity re- sults in a steep learning curve for novice users. We hypothesize that this complexity is the reason why many community-driven projects refrain from using mathML, and instead develop problem-specific data formats for their purposes. We provide a user-friendly, open-source application programming interface for controlling mathML data. Our API is written in JAVA and allows to create, manipulate, and efficiently access commonly needed informa- tion in presentation and content mathML. Our interface also provides tools for calculating differences and similarities between mathML expressions. The API also allows to determine the distance between expressions using different similarity measures. In addition, we provide adapters for numerous conversion tools and the canonicalization project. Our toolkit facilitates processing of mathematics for digital libraries, without the need to obtain XML expertise. © 2021, CC BY.

关键词： ISO Standards

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IoT based air pollution monitoring system for Moradabad city

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AIP Conference Proceedings 2025年第1期3224卷

作者： Amit Saxena Kshitij Shinghal Rajul Misra Manish Saxena Animesh Agarwal Vikas Kumar Rohit Garg Dept. of Electronics & Communication Engg. Moradabad Institute of Technology Moradabad U.P. India Dept. of Electrical Engg. Moradabad Institute of Technology Moradabad U.P. India Dept. of Applied Science and Humanities Moradabad Institute of Technology Moradabad U.P. India Dept. of Computer Science & Engineering Moradabad Institute of Technology Moradabad U.P. India Dept. of Mechanical Engineering Moradabad Institute of Technology Moradabad U.P. India

Air quality plays an important role in spiritual, mental and physical wellbeing of a person. Though it is not common to consider that quality of air a person is breathing has deep effect on the work efficiency, emotions, levels of stress and wellbeing of that person. It is even written in ancient ayurvedic scriptures of India that quality of air one breathes not only prolongs the life of a person but can also show magical healing effects on various diseases. Though Air Quality Index is extremely important, yet it is the most ignored and taken for granted by most of us. Related work and recent articles from new coverage also depicts that Moradabad city is amongst the most polluted cities of India. The air quality index level of Moradabad city is much above the required normal level for healthy living conditions. It is therefore proposed a unique air quality index monitoring device which can be mounted on vehicles like cars, motorbikes etc. which will be powered by battery of vehicles and monitor the air quality index level of various places of city where vehicle is commuting. The information of air quality index along with Global Positioning System tag will be send to a remote server (ThingSpeak). Then the user interested in monitoring AQI level can receive this information on a mobile application. The application will also issue alert messages when air quality index is approaching dangerous level, display safety and precautionary guidelines. The proposed device was tested and results were recorded carefully. It was observed that device was working fine and was able to monitor air quality of Moradabad City. Once adopted the proposed system can serve as novel solution to the increasing air pollution of Moradabad city and can help in creating an environment friendly mind-set in people of Moradabad city. Once such awareness is created in local community, people may refrain themselves in activities which lead to air pollution.

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Solving Graph Coloring Problem via Graph Neural Network (GNN)

Solving Graph Coloring Problem via Graph Neural Network (GNN...

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International Conference on Emerging Technologies, ICET

作者： Ali Zeeshan Ijaz Raja Hashim Ali Nisar Ali Talha Laique Talha Ali Khan Faculty of Computer Science & Engg. AI Research Group GIK Institute of Engg. Sciences & Tech. Topi Khyber Pakhtunkhwa Pakistan Faculty of Electronic Systems Engg. University of Regina Regina Canada Dept. of Tech & Software Engg. Univ. of Europe of Applied Sciences Berlin Germany

ISBN: (纸本)9781665459938

The Graph Coloring Problem (GCP) is concerned with finding the chromatic number, i.e., the minimum number of unique colors required to color adjacent nodes in the graph. Given that combinatorial problems such as GCP are computationally expensive, heuristic-based algorithms are generally employed., and they do not provide optimum solutions. In this work, we utilized Graph Neural networks (GNNs) for finding solution to graph coloring problem, and evaluated our approach against two other contemporary algorithms. Our results demonstrate that our approach can be used to ascertain the chromatic number of a large graph with higher accuracy than the contemporary methods.

关键词： Training Industries Deep learning Analytical models Codes Image color analysis Heuristic algorithms

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DocOnTap: AI-based disease diagnostic system and recommendation system

DocOnTap: AI-based disease diagnostic system and recommendat...

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International Conference on Emerging Technologies, ICET

作者： Zain ul Abideen Talha Ali Khan Raja Hashim Ali Nisar Ali Muhammad Muneeb Baig Muhammad Sajid Ali Faculty of Computer Science & Engg. AI Research Group GIK Institute of Engg. Sciences & Tech. Topi Khyber Pakhtunkhwa Pakistan Faculty of Electronic Systems Engg. University of Regina Regina Canada Dept. of Tech & Software Engg. Univ. of Europe of Applied Sciences Berlin Germany

ISBN: (纸本)9781665459938

In this age of technology, Artificial Intelligence plays a key part in humankind's growth, whether in education, daily life, or professional life. AI has improved how humans live and solve problems. Using illness mapping from symptoms, the suggested method recommends relevant doctors to users. The approach attempts to boost diagnosis efficiency, reducing misdiagnoses and saving doctors' time. Machine learning algorithms and doctors' diagnoses will reduce misdiagnosis. In this work, we built a disease-based prediction system with multiple machine learning algorithms including Decision Tree, Logistic Regression and Random Forest. We obtain the highest accuracy with Random Forest classifier. After diagnosis, our system will immediately schedule an appointment for them with the most conveniently located doctor in their area, and the system's evaluation will be delivered to the appointment doctor. The proposed system is accessible through website and both doctor and patient can use then for their purposes.

关键词： Schedules Machine learning algorithms Education Medical services Artificial intelligence Random forests Regression tree analysis

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Blind super-resolution kernel estimation using an internal-GAN

arXiv

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arXiv 2019年

作者： Bell-Kligler, Sefi Shocher, Assaf Irani, Michal Dept. of Computer Science and Applied Math Weizmann Institute of Science

Super resolution (SR) methods typically assume that the low-resolution (LR) image was downscaled from the unknown high-resolution (HR) image by a fixed 'ideal' downscaling kernel (e.g. Bicubic downscaling). However, this is rarely the case in real LR images, in contrast to synthetically generated SR datasets. When the assumed downscaling kernel deviates from the true one, the performance of SR methods significantly deteriorates. This gave rise to Blind-SR - namely, SR when the downscaling kernel ("SR-kernel") is unknown. It was further shown that the true SR-kernel is the one that maximizes the recurrence of patches across scales of the LR image. In this paper we show how this powerful cross-scale recurrence property can be realized using Deep Internal Learning. We introduce "KernelGAN", an image-specific Internal-GAN [29], which trains solely on the LR test image at test time, and learns its internal distribution of patches. Its Generator is trained to produce a downscaled version of the LR test image, such that its Discriminator cannot distinguish between the patch distribution of the downscaled image, and the patch distribution of the original LR image. The Generator, once trained, constitutes the downscaling operation with the correct image-specific SR-kernel. KernelGAN is fully unsupervised, requires no training data other than the input image itself, and leads to state-of-the-art results in Blind-SR when plugged into existing SR algorithms. 1. Copyright © 2019, The Authors. All rights reserved.

关键词： Optical resolving power

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Combining Survival Analysis and Simheuristics to Predict the Risk of Delays in Urban Ridesharing Operations with Random Travel Times

Combining Survival Analysis and Simheuristics to Predict the...

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Simulation Winter Conference

作者： Erika M. Herrera Javier Panadero Angel A. Juan Patricia Carracedo Elena Perez-Bernabeu Rocio de la Torre Computer Science Department Universitat Oberta de Catalunya Barcelona SPAIN Dept. of Applied Statistics and Operations Research Plaza Ferrandiz-Carbonell Universitat Politècnica de València Alcoy SPAIN Department of Business Organization Plaza Ferrandiz-Carbonell Universitat Politècnica de València Alcoy SPAIN

ISBN: (纸本)9781665476621

More sustainable transportation and mobility concepts, such as ridesharing, are gaining momentum in modern smart cities. In many real-life scenarios, travel times among potential customers' locations should be modeled as random variables. This uncertainty makes it difficult to design efficient ridesharing schedules and routing plans, since the risk of possible delays has to be considered as well. In this paper, we model ridesharing as a stochastic team orienteering problem in which the trade-off between maximizing the expected reward and the risk of incurring time delays is analyzed. In order to do so, we propose a simulation-optimization approach that combines a simheuristic algorithm with survival analysis techniques. The aforementioned methodology allows us to generate not only the probability that a given routing plan will suffer a delay, but also gives us the probability that the routing plan experiences delays of different sizes.

关键词： Analytical models Schedules Uncertainty Smart cities Stochastic processes Predictive models Routing

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Constructing a Cryptocurrency-Price Prediction Model Using Deep Learning

Constructing a Cryptocurrency-Price Prediction Model Using D...

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International Conference on Engineering and Emerging Technologies (ICEET)

作者： Toai Kim Tran Thanh Thi Tuyet Le Thinh Tien Bui Vang Quang Dang Roman Senkerik Faculty of Economics Ho Chi Minh City University of Technology and Education No 1 Vo Van Ngan Street Linh Chieu Ward Thu Duc City Vietnam Dept. of Computer Science Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. Listopadu 2172/15 Ostrava-Poruba Czech Repulic Faculty of Applied Informatics Tomas Bata University in Zlin T. G. Masaryka 5555 Zlin Czech Republic

ISBN: (纸本)9781665491075

The purpose of this study is to discover the optimal Deep Learning model for Bitcoin prediction among the Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM). Our empirical results indicate that LSTM is the optimal model for predicting Bitcoin price and trend with the prediction accuracy of 88.9%. Our study serves as a stepping stone for novice cryptocurrency investors and future studies of more advanced and sophisticated algorithms. Finally, given that the ideal model for predicting the price of cryptocurrencies is still a topic of controversy, the findings of this study will serve as a valuable empirical resource for future studies.

关键词： Deep learning Recurrent neural networks Bitcoin Predictive models Prediction algorithms Market research Convolutional neural networks

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VIETORIS THICKENINGS AND COMPLEXES HAVE ISOMORPHIC HOMOTOPY GROUPS

arXiv

引用

arXiv 2022年

作者： Adams, Henry Frick, Florian Virk, Žiga Department of Mathematics Colorado State University Fort CollinsCO80523 United States Dept. Math. Sciences Carnegie Mellon University PittsburghPA15213 United States Inst. Math. Freie Universität Berlin Arnimallee 2 Berlin14195 Germany Faculty of Computer and Information Science Večna pot 113 LjubljanaSI-1000 Slovenia

We study the relationship between metric thickenings and simplicial complexes associated to coverings of metric spaces. Let U be a cover of a separable metric space X by open sets with a uniform diameter bound. The Vietoris complex V(U) contains all simplices with vertex set contained in some U ∈ U, and the Vietoris metric thickening Vm(U) is the space of probability measures with support in some U ∈ U, equipped with an optimal transport metric. We show that Vm(U) and V(U) have isomorphic homotopy groups in all dimensions. In particular, by choosing the cover U appropriately, we get isomorphisms between the homotopy groups of Vietoris-Rips metric thickenings and simplicial complexes πk(VRm(X;r)) ≅ πk(VR(X;r)) for all integers k ≥ 0, where both spaces are defined using the convention "diameter k(Čm(X;r)) ≅ πk(Č(X;r)) for all integers k ≥ 0, where both spaces are defined using open balls (instead of closed balls). Copyright © 2022, The Authors. All rights reserved.

关键词： Set theory

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