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  • Efficient Metastability Characterization for Schmitt-Triggers
    arXiv.cs.OH Pub Date : 2020-06-16
    Jürgen Maier; Andreas Steininger

    Despite their attractiveness as metastability filters, Schmitt-Triggers can suffer from metastability themselves. Therefore, in the selection or construction of a suitable Schmitt-Trigger implementation, it is a necessity to accurately determine the metastable behavior. Only then one is able to compare different designs and thus guide proper optimizations, and only then one can assess the potential

  • C-Wars: The Unfolding Argument Strikes Back -- A Reply to 'Falsification & Consciousness'
    arXiv.cs.OH Pub Date : 2020-05-28
    Natesh Ganesh

    The 'unfolding argument' was presented by Doerig et.al. [1] as an argument to show that causal structure theories (CST) like IIT are either falsified or outside the realm of science. In their recent paper [2],[3], the authors mathematically formalized the process of generating observable data from experiments and using that data to generate inferences and predictions onto an experience space. The resulting

  • Environmental Impact of Bundling Transport Deliveries Using SUMO: Analysis of a cooperative approach in Austria
    arXiv.cs.OH Pub Date : 2020-06-16
    Aso Validi; Nicole Polasek; Leonie Alabi; Michael Leitner; Cristina Olaverri-Monreal

    Urban Traffic is recognized as one of the major CO2 contributors that puts a high burden on the environment. Different attempts have been made for reducing the impacts ranging from traffic management actions to shared-vehicle concepts to simply reducing the number of vehicles on the streets. By relying on cooperative approaches between different logistics companies, such as sharing and pooling resources

  • Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling
    arXiv.cs.OH Pub Date : 2020-06-19
    Jose Nunez-Yanez; Kris Nikov; Kerstin Eder; Mohammad Hosseinabady

    This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters to embedded GPUs. A 64-bit Tegra TX1 SoC is configured with DVFS enabled and multiple CUDA benchmarks are used to train and test models optimized for each frequency and voltage point. These optimized models are then compared

  • Artificial Buildings: Safety, Complexity and a Quantifiable Measure of Beauty
    arXiv.cs.OH Pub Date : 2020-06-17
    Arash Mehrjou

    A place to live is one of the most crucial necessities for all living organisms since the advent of life on planet Earth. The nature of homes has changed considerably over time. At the very early stages, human begins lived in natural places such as caves. Later on, they started to use their intelligence to build places with special purposes. Nowadays, modern technologies such as robotics and artificial

  • Converting Biomechanical Models from OpenSim to MuJoCo
    arXiv.cs.OH Pub Date : 2020-06-17
    Aleksi Ikkala; Perttu Hämäläinen

    OpenSim is a widely used biomechanics simulator with several anatomically accurate human musculo-skeletal models. While OpenSim provides useful tools to analyse human movement, it is not fast enough to be routinely used for emerging research directions, e.g., learning and simulating motor control through deep neural networks and Reinforcement Learning (RL). We propose a framework for converting OpenSim

  • A Faithful Binary Circuit Model with Adversarial Noise
    arXiv.cs.OH Pub Date : 2020-06-15
    Matthias Függer; Jürgen Maier; Robert Najvirt; Thomas Nowak; Ulrich Schmid

    Accurate delay models are important for static and dynamic timing analysis of digital circuits, and mandatory for formal verification. However, F\"ugger et al. [IEEE TC 2016] proved that pure and inertial delays, which are employed for dynamic timing analysis in state-of-the-art tools like ModelSim, NC-Sim and VCS, do not yield faithful digital circuit models. Involution delays, which are based on

  • Does Cascading Schmitt-Trigger Stages Improve the Metastable Behavior?
    arXiv.cs.OH Pub Date : 2020-06-15
    Andreas Steininger; Robert Najvirt; Jürgen Maier

    Schmitt-Trigger stages are the method of choice for robust discretization of input voltages with excessive transition times or significant noise. However, they may suffer from metastability. Based on the experience that the cascading of flip-flop stages yields a dramatic improvement of their overall metastability hardness, in this paper we elaborate on the question whether the cascading of Schmitt-Trigger

  • The Metastable Behavior of a Schmitt-Trigger
    arXiv.cs.OH Pub Date : 2020-06-15
    Andreas Steininger; Jürgen Maier; Robert Najvirt

    Schmitt-Trigger circuits are the method of choice for converting general signal shapes into clean, well-behaved digital ones. In this context these circuits are often used for metastability handling, as well. However, like any other positive feedback circuit, a Schmitt-Trigger can become metastable itself. Therefore, its own metastable behavior must be well understood; in particular the conditions

  • Smart Motion Detection System using Raspberry Pi
    arXiv.cs.OH Pub Date : 2020-06-09
    Venkat Margapuri

    This paper throws light on the security issues that modern day homes and businesses face and describes the implementation of a motion detection system using Raspberry Pi which could be an effective solution to address the security concerns. The goal of the solution is to provide an implementation that uses PIR motion sensors for motion detection and sends notifications to users via emails. Furthermore

  • CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data
    arXiv.cs.OH Pub Date : 2020-06-09
    Miki E. Verma; Robert A. Bridges; Jordan J. Sosnowski; Samuel C. Hollifield; Michael D. Iannacone

    Controller area networks (CANs) are a broadcast protocol for real-time communication of critical vehicle subsystems. Manufacturers of passenger vehicles hold secret their mappings of CAN data to vehicle signals, and these definitions vary per make, model, and year. Without these mappings, the wealth of real-time vehicle information hidden in CAN packets is uninterpretable-- severely impeding vehicle-related

  • Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles
    arXiv.cs.OH Pub Date : 2020-06-04
    Daniel Becker; Fabian Ruß; Christian Geller; Lutz Eckstein

    Simulation is a valuable building block for the verification and validation of automated driving functions (ADF). When simulating urban driving scenarios, simulation maps are one important component. Often, the generation of those road networks is a time consuming and manual effort. Furthermore, typically many variations of a distinct junction or road section are demanded to ensure that an ADF can

  • Chook -- A comprehensive suite for generating binary optimization problems with planted solutions
    arXiv.cs.OH Pub Date : 2020-05-28
    Dilina Perera; Inimfon Akpabio; Firas Hamze; Salvatore Mandra; Nathan Rose; Maliheh Aramon; Helmut G. Katzgraber

    We present Chook, an open-source Python-based tool to generate discrete optimization problems of tunable complexity with a priori known solutions. Chook provides a cross-platform unified environment for solution planting using a number of techniques, such as tile planting, Wishart planting, equation planting, and deceptive cluster loop planting. Chook also incorporates planted solutions for higher-order

  • Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping
    arXiv.cs.OH Pub Date : 2020-05-25
    Yanshuai Tu; Duyan Ta; Zhong-Lin Lu; Yalin Wang

    The mapping between the visual input on the retina to the cortical surface, i.e., retinotopic mapping, is an important topic in vision science and neuroscience. Human retinotopic mapping can be revealed by analyzing cortex functional magnetic resonance imaging (fMRI) signals when the subject is under specific visual stimuli. Conventional methods process, smooth, and analyze the retinotopic mapping

  • SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks
    arXiv.cs.OH Pub Date : 2020-05-11
    Ehsan Haghighat; Ruben Juanes

    In this paper, we introduce SciANN, a Python package for scientific computing and physics-informed deep learning using artificial neural networks. SciANN uses the widely used deep-learning packages Tensorflow and Keras to build deep neural networks and optimization models, thus inheriting many of Keras's functionalities, such as batch optimization and model reuse for transfer learning. SciANN is designed

  • AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration
    arXiv.cs.OH Pub Date : 2020-05-09
    Samuel Allen Alexander

    Can an AGI create a more intelligent AGI? Under idealized assumptions, for a certain theoretical type of intelligence, our answer is: "Not without outside help". This is a paper on the mathematical structure of AGI populations when parent AGIs create child AGIs. We argue that such populations satisfy a certain biological law. Motivated by observations of sexual reproduction in seemingly-asexual species

  • Neighbourhood Evaluation Criteria for Vertex Cover Problem
    arXiv.cs.OH Pub Date : 2020-05-07
    Kaustubh K Joshi

    Neighbourhood Evaluation Criteria is a heuristical approximate algorithm that attempts to solve the Minimum Vertex Cover. degree count is kept in check for each vertex and the highest count based vertex is included in our cover set. In the case of multiple equivalent vertices, the one with the lowest neighbourhood influence is selected. In the case of still existing multiple equivalent vertices, the

  • Acceptance of e-procurement in organisations
    arXiv.cs.OH Pub Date : 2020-05-06
    Muhammed S. Maddi; Paul Davis; John Geraghty

    This research is concerned with the development of a realistic model for e-procurement adoption by organisations and groups observing the Rules of Islamic Sharia (RIS). This model is intended to be based on the behavioural control, subjective norms, and the recognition of the benefits and risks of e procurement adoption. The developed model,(E-PAM), combined and extended two existing models previously

  • System of Computer Modeling and Features of their use in the Educational Process of General Secondary Eeducation
    arXiv.cs.OH Pub Date : 2020-05-03
    Svitlana H. Lytvynova

    The article analyzes the historical aspect of the formation of computer modeling as one of the perspective directions of educational process development. The notion of "system of computer modeling", conceptual model of system of computer modeling (SCMod), its components (mathematical, animation, graphic, strategic), functions, principles and purposes of use are grounded. The features of the organization

  • White Paper on Business of 6G
    arXiv.cs.OH Pub Date : 2020-04-30
    Seppo Yrjola; Petri Ahokangas; Marja Matinmikko-Blue; Risto Jurva; Vivek Kant; Pasi Karppinen; Marianne Kinnula; Harilaos Koumaras; Mika Rantakokko; Volker Ziegler; Abhishek Thakur; Hans-Jurgen Zepernick

    Developing products, services and vertical applications for the future digitized society in the 6G era requires a multidisciplinary approach and a re-definition of how we create, deliver and consume network resources, data and services for both communications and sensing purposes. This development will change and disrupt the traditional business models and ecosystem roles of digital service providers

  • AI in society and culture: decision making and values
    arXiv.cs.OH Pub Date : 2020-04-29
    Katalin Feher; Asta Zelenkauskaite

    With the increased expectation of artificial intelligence, academic research face complex questions of human-centred, responsible and trustworthy technology embedded into society and culture. Several academic debates, social consultations and impact studies are available to reveal the key aspects of the changing human-machine ecosystem. To contribute to these studies, hundreds of related academic sources

  • Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation
    arXiv.cs.OH Pub Date : 2020-04-28
    Dilip Kumar Verma; Ahmadreza Baghaie

    Medical image slice interpolation is an active field of research. The methods for this task can be categorized into two broad groups: intensity-based and object-based interpolation methods. While intensity-based methods are generally easier to perform and less computationally expensive, object-based methods are capable of producing more accurate results and account for deformable changes in the objects

  • ROOT I/O compression improvements for HEP analysis
    arXiv.cs.OH Pub Date : 2020-04-08
    Oksana ShaduraUniversity of Nebraska-Lincoln; Brian Paul BockelmanMorgridge Institute for Research; Philippe CanalFermilab; Danilo PiparoCERN; Zhe ZhangUniversity of Nebraska-Lincoln

    We overview recent changes in the ROOT I/O system, increasing performance and enhancing it and improving its interaction with other data analysis ecosystems. Both the newly introduced compression algorithms, the much faster bulk I/O data path, and a few additional techniques have the potential to significantly to improve experiment's software performance. The need for efficient lossless data compression

  • Distributed Resources for the Earth System Grid Advanced Management (DREAM)
    arXiv.cs.OH Pub Date : 2020-04-13
    Luca Cinquini; Steve Petruzza; Jason Jerome Boutte; Sasha Ames; Ghaleb Abdulla; Venkatramani Balaji; Robert Ferraro; Aparna Radhakrishnan; Laura Carriere; Thomas Maxwell; Giorgio Scorzelli; Valerio Pascucci

    The DREAM project was funded more than 3 years ago to design and implement a next-generation ESGF (Earth System Grid Federation [1]) architecture which would be suitable for managing and accessing data and services resources on a distributed and scalable environment. In particular, the project intended to focus on the computing and visualization capabilities of the stack, which at the time were rather

  • Business Process Re-engineering in Supply Chains Examining the case of the expanding Halal industry
    arXiv.cs.OH Pub Date : 2020-04-16
    Mohammed Belkhatir; Shalini Bala; Noureddine Belkhatir

    Due to several issues arising in the rapidly-expanding Halal industry, among them the production of non-genuine or contaminated products and meats, there is a need to develop effective solutions for ensuring authenticity and quality. This paper proposes the specification of a formalized supply chain framework for the production and monitoring of food and products. The latter enforces high-level quality

  • Correlating Unlabeled Events at Runtime
    arXiv.cs.OH Pub Date : 2020-04-19
    Iman M. A. Helal; Ahmed Awad

    Process mining is of great importance for both data-centric and process-centric systems. Process mining receives so-called process logs which are collections of partially-ordered events. An event has to possess at least three attributes, case ID, task ID and a timestamp for mining approaches to work. When a case ID is unknown, the event is called unlabeled. Traditionally, process mining is an offline

  • Software-Based Monitoring and Analysis of a USB Host Controller Subject to Electrostatic Discharge
    arXiv.cs.OH Pub Date : 2020-03-16
    Natasha Jarus; Antonio Sabatini; Pratik Maheshwari; Sahra Sedigh Sarvestani

    Observing, understanding, and mitigating the effects of failure in embedded systems is essential for building dependable control systems. We develop a software-based monitoring methodology to further this goal. This methodology can be applied to any embedded system peripheral and allows the system to operate normally while the monitoring software is running. We use software to instrument the operating

  • Dyslexia and Dysgraphia prediction: A new machine learning approach
    arXiv.cs.OH Pub Date : 2020-04-15
    Gilles Richard; Mathieu Serrurier

    Learning disabilities like dysgraphia, dyslexia, dyspraxia, etc. interfere with academic achievements but have also long terms consequences beyond the academic time. It is widely admitted that between 5% to 10% of the world population is subject to this kind of disabilities. For assessing such disabilities in early childhood, children have to solve a battery of tests. Human experts score these tests

  • NDE 4.0: Digital Twin, Semantics, Interfaces, Networking, Feedback, New Markets and Integration into the Industrial Internet of Things
    arXiv.cs.OH Pub Date : 2020-04-02
    Johannes Vrana

    The industrial revolution is divided into three phases by historians: The invention of the steam engine (mechanization), electricity (mass production) and the microelectric revolution (automation). There was a similar development in non-destructive evaluation: tools such as lenses or stethoscopes allowed the human senses to be sharpened, the conversion of waves makes the invisible visible and thus

  • Interactive distributed cloud-based web-server systems for the smart healthcare industry
    arXiv.cs.OH Pub Date : 2020-04-14
    Almagul Baurzhanovna Kondybayeva

    The work aims to investigate the possible contemporary interactive cloud based solutions in the fields of the applied medicine for the smart Healthcare as the data visualization open-source free system distributed under the MIT license. A comparative study of a number of the well-known implementations of the Ray Casting algorithms was studied. A new method of numerical calculus is proposed for calculating

  • Quantum Approximation for Multi-Scale Scheduling
    arXiv.cs.OH Pub Date : 2020-04-14
    Jaeho Choi; Seunghyeok Oh; Joongheon Kim

    This paper proposes a quantum approximate optimization algorithm (QAOA) method for multi-scale wireless scheduling problems. The QAOA is one of the promising hybrid quantum-classical algorithms for many applications and it provides highly accurate optimization solutions in NP-hard problems. QAOA maps the given problems into Hilbert spaces, and then it generates Hamiltonian for the given objectives

  • BiEntropy, TriEntropy and Primality
    arXiv.cs.OH Pub Date : 2019-11-25
    Grenville J. Croll

    The order and disorder of binary representations of the natural numbers < 2^8 is measured using the BiEntropy function. Significant differences are detected between the primes and the non primes. The BiEntropic prime density is shown to be quadratic with a very small Gaussian distributed error. The work is repeated in binary using a monte carlo simulation for a sample of the natural numbers < 2^32

  • Objective Multi-variable Classification and Inference of Biological Neuronal Networks
    arXiv.cs.OH Pub Date : 2020-03-28
    Michael Taynnan Barros; Harun Siljak; Peter Mullen; Constantinos Papadias; Jari Hyttinen; Nicola Marchetti

    Classification of biological neuron types and networks poses challenges to the full understanding of the brain's organisation and functioning. In this paper, we develop a novel objective classification model of biological neuronal types and networks based on the communication metrics of neurons. This presents advantages against the existing approaches since the mutual information or the delay between

  • On the Spectrum of Finite, Rooted Homogeneous Trees
    arXiv.cs.OH Pub Date : 2019-03-17
    Daryl R. DeFord; Daniel N. Rockmore

    In this paper we study the adjacency spectrum of families of finite rooted trees with regular branching properties. In particular, we show that in the case of constant branching, the eigenvalues are realized as the roots of a family of generalized Fibonacci polynomials and produce a limiting distribution for the eigenvalues as the tree depth goes to infinity. We indicate how these results can be extended

  • Reconfigurable Computing Applied to Latency Reduction for the Tactile Internet
    arXiv.cs.OH Pub Date : 2020-03-12
    José C. V. S. Junior; Matheus F. Torquato; Toktam Mahmoodi; Mischa Dohler; Marcelo A. C. Fernandes

    Tactile internet applications allow robotic devices to be remotely controlled over a communication medium with an unnoticeable time delay. In a bilateral communication, the acceptable round trip latency is usually in the order of 1ms up to 10ms depending on the application requirements. It is estimated that 70% of the total latency is generated by the communication network, and the remaining 30% is

  • High Performance Interference Suppression in Multi-User Massive MIMO Detector
    arXiv.cs.OH Pub Date : 2020-03-20
    Andrey Ivanov; Alexander Osinsky; Dmitry Lakontsev; Dmitry Yarotsky

    In this paper, we propose a new nonlinear detector with improved interference suppression in Multi-User Multiple Input, Multiple Output (MU-MIMO) system. The proposed detector is a combination of the following parts: QR decomposition (QRD), low complexity users sorting before QRD, sorting-reduced (SR) K-best method and minimum mean square error (MMSE) pre-processing. Our method outperforms a linear

  • Toward a Wearable RFID System for Real-Time Activity Recognition Using Radio Patterns
    arXiv.cs.OH Pub Date : 2020-03-08
    Liang Wang; Tao Gu; Xianping Tao; Jian Lu

    Elderly care is one of the many applications supported by real-time activity recognition systems. Traditional approaches use cameras, body sensor networks, or radio patterns from various sources for activity recognition. However, these approaches are limited due to ease-of-use, coverage, or privacy preserving issues. In this paper, we present a novel wearable Radio Frequency Identification (RFID) system

  • The NDE 4.0: Key Challenges, Use Cases, and Adaption
    arXiv.cs.OH Pub Date : 2020-03-05
    Johannes Vrana; Ripudaman Singh

    Historians split recent times into three industrial revolutions: mechanization (steam power), technical (electric power and mass production), and digital (computing and microelectronics). The world of NDE has a parallel: tools to sharpen human senses, wave application to view inside the components, and digital processing and automation. As the industry goes through the fourth revolution powered by

  • Engaging Users through Social Media in Public Libraries
    arXiv.cs.OH Pub Date : 2020-02-25
    Hongbo Zou; Hsuanwei Michelle Chen; Sharmistha Dey

    The participatory library is an emerging concept which refers to the idea that an integrated library system must allow users to take part in core functions of the library rather than engaging on the periphery. To embrace the participatory idea, libraries have employed many technologies, such as social media to help them build participatory services and engage users. To help librarians understand the

  • Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks
    arXiv.cs.OH Pub Date : 2020-03-05
    Felix Last; Max Haeberlein; Ulf Schlichtmann

    Typical semiconductor chips include thousands of mostly small memories. As memories contribute an estimated 25% to 40% to the overall power, performance, and area (PPA) of a chip, memories must be designed carefully to meet the system's requirements. Memory arrays are highly uniform and can be described by approximately 10 parameters depending mostly on the complexity of the periphery. Thus, to improve

  • Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis
    arXiv.cs.OH Pub Date : 2020-02-25
    Lucas Layman; Yang Song; Curry Guinn

    Factors driving success and failure in CS1 are the subject of much study but less so for CS2. This paper investigates the transition from CS1 to CS2 in search of leading indicators of success in CS2. Both CS1 and CS2 at the University of North Carolina Wilmington (UNCW) are taught in Python with annual enrollments of 300 and 150 respectively. In this paper, we report on the following research questions:

  • Testability of Reversible Iterative Logic Arrays
    arXiv.cs.OH Pub Date : 2008-05-09
    Avik Chakraborty

    Iterative Logic Arrays (ILAs) are ideal as VLSI sub-systems because of their regular structure and its close resemblance with FPGAs (Field Programmable Gate Arrays). Reversible circuits are of interest in the design of very low power circuits where energy loss implied by high frequency switching is not of much consideration. Reversibility is essential for Quantum Computing. This paper examines the

  • Proceedings of the VI International Workshop on Locational Analysis and Related Problems
    arXiv.cs.OH Pub Date : 2020-02-19
    Maria Albareda-SambolaEditors; Luisa I. Martínez-MerinoEditors; Antonio M. Rodríguez-ChíaEditors

    The International Workshop on Locational Analysis and Related Problems will take place during November 25-27, 2015 in Barcelona (Spain). It is organized by the Spanish Location Network and Location Group GELOCA (SEIO). GELOCA is a working group on location belonging to the Statistics and Operations Research Spanish Society. The Spanish Location Network is a group of more than 140 researchers distributed

  • Proceedings of the VIII International Workshop on Locational Analysis and Related Problems
    arXiv.cs.OH Pub Date : 2020-02-19
    Marta Baldomero-NaranjoEditors; Inmaculada Espejo-MirandaEditors; Luisa I. Martínez-MerinoEditors; Antonio M. Rodríguez-ChíaEditors; Diego Ruiz-HernándezEditors

    The International Workshop on Locational Analysis and Related Problems will take place during September 27-29, 2017 in Segovia (Spain). It is organized by the Spanish Location Network and Location Group GELOCA (SEIO). GELOCA is a working group on location belonging to the Statistics and Operations Research Spanish Society. The Spanish Location Network is a group of more than 100 researchers distributed

  • Proceedings of the IX International Workshop on Locational Analysis and Related Problems
    arXiv.cs.OH Pub Date : 2020-02-19
    Marta Baldomero-NaranjoEditors; Inmaculada Espejo-MirandaEditors; Luisa I. Martínez-MerinoEditors; Juan Manuel Muñoz-OcañaEditors; Antonio M. Rodríguez-ChíaEditors

    The International Workshop on Locational Analysis and Related Problems will take place during January 30-February 1, 2019 in C\'adiz (Spain). It is organized by the Spanish Location Network and Location Group GELOCA (SEIO). GELOCA is a working group on location belonging to the Statistics and Operations Research Spanish Society. The Spanish Location Network is a group of more than 140 researchers distributed

  • On Orthogonal Projections on the Space of Consistent Pairwise Comparisons Matrices
    arXiv.cs.OH Pub Date : 2020-02-16
    W. W. Koczkodaj; R. Smarzewski; J. Szybowski

    In this study, the orthogonalization process for different inner products is applied to pairwise comparisons. Properties of consistent approximations of a given inconsistent pairwise comparisons matrix are examined. A method of a derivation of a priority vector induced by a pairwise comparison matrix for a given inner product has been introduced. The mathematical elegance of orthogonalization and its

  • Proceedings of the X International Workshop on Locational Analysis and Related Problems
    arXiv.cs.OH Pub Date : 2020-02-05
    Maria Albareda-SambolaEditors; Marta Baldomero-NaranjoEditors; Luisa I. Martínez-MerinoEditors; Diego PonceEditors; Miguel A. PozoEditors; Justo PuertoEditors; Victoria Rebillas-Loredo.Editors

    The International Workshop on Locational Analysis and Related Problems will take place during January 23-24, 2020 in Seville (Spain). It is organized by the Spanish Location Network and the Location Group GELOCA from the Spanish Society of Statistics and Operations Research(SEIO). The Spanish Location Network is a group of more than 140 researchers from several Spanish universities organized into 7

  • On the loss of learning capability inside an arrangement of neural networks
    arXiv.cs.OH Pub Date : 2020-01-09
    Ivan Arraut; Diana Diaz

    We analyze the loss of information and the loss of learning capability inside an arrangement of neural networks. Our method is new and based on the formulation of non-unitary Bogoliubov transformations in order to connect the information between different points of the arrangement. This can be done after expanding the activation function in a Fourier series and then assuming that its information is

  • Proposal of a standard of Knowledge Management and Technological Innovation for Mexico
    arXiv.cs.OH Pub Date : 2020-01-28
    Jorge Romero-Hidalgo

    The purpose of this work is to offer a methodology that allows to construct a standard in Knowledge Management and Technological Innovation which may be used in various organizations in M\'exico to improve the operation of their resources and productivity. Based on the review of the existing literature, a model is offered including several elements to enable organizations to establish their position

  • Particle tracking manifestation of compressible flow and mixing induced by Rayleigh-Taylor instability
    arXiv.cs.OH Pub Date : 2019-12-31
    Ge Zhang; Aiguo Xu; Yingjun Li; Huilin Lai; Xiaomian Hu

    Rayleigh-Taylor-instability induced flow and mixing are of great importance both in nature and engineering scenarios. To capture the underpinning physics, one-way coupled particles are introduced to make a Lagrangian tracking supplement to the discrete Boltzmann simulation. Detailed morphological information of the flow field and thermodynamic nonequilibrium behavior around the interfaces in a two-miscible-fluid

  • Roof Age Determination for the Automated Site-Selection of Rooftop Solar
    arXiv.cs.OH Pub Date : 2020-01-08
    Chris Heinrich; Michael Laskin; Simas Glinskis; Evert van Nieuwenburg

    Rooftop solar is one of the most promising tools for drawing down greenhouse gas (GHG) emissions and is cost-competitive with fossil fuels in many areas of the world today. One of the most important criteria for determining the suitability of a building for rooftop solar is the current age of its roof. The reason for this is simple -- because rooftop solar installations are long-lived, the roof needs

  • What's My Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM
    arXiv.cs.OH Pub Date : 2019-10-12
    Greta Adamo; Chiara Ghidini; Chiara Di Francescomarino

    Business process modelling languages typically enable the representation of business process models by employing (graphical) symbols. These symbols can vary depending upon the verbosity of the language, the modeling paradigm, the focus of the language, and so on. To make explicit the different constructs and rules employed by a specific language as well as bridge the gap across different languages

  • Efficient Programmable Random Variate Generation Accelerator from Sensor Noise
    arXiv.cs.OH Pub Date : 2020-01-10
    James Timothy Meech; Phillip Stanley-Marbell

    We introduce a method for non-uniform random number generation based on sampling a physical process in a controlled environment. We demonstrate one proof-of-concept implementation of the method that reduces the error of Monte Carlo integration of a univariate Gaussian by 1068 times while doubling the speed of the Monte Carlo simulation. We show that the supply voltage and temperature of the physical

  • A Promise Theoretic Account of the Boeing 737 Max MCAS Algorithm Affair
    arXiv.cs.OH Pub Date : 2019-12-24
    J. A. Bergstra; M. Burgess

    Many public controversies involve the assessment of statements about which we have imperfect information. Without a structured approach, it is quite difficult to develop an approach to reasoning which is not based on ad hoc choices. Forms of logic have been used in the past to try to bring such clarity, but these fail for a variety of reasons. We demonstrate a simple approach to bringing a standardized

  • An Approach Towards Intelligent Accident Detection, Location Tracking and Notification System
    arXiv.cs.OH Pub Date : 2019-12-29
    Supriya Sarker; Md. Sajedur Rahman; Mohammad Nazmus Sakib

    Advancement in transportation system has boosted speed of our lives. Meantime, road traffic accident is a major global health issue resulting huge loss of lives, properties and valuable time. It is considered as one of the reasons of highest rate of death nowadays. Accident creates catastrophic situation for victims, especially accident occurs in highways imposes great adverse impact on large numbers

  • A Noxious Market for Personal Data
    arXiv.cs.OH Pub Date : 2019-12-12
    Abdul Abdulrahim; Michael Famoroti

    Many policymakers, academics and governments have advocated for exchangeable property rights over information as it presents a market solution to what could be considered a market failure. Particularly in jurisdictions such as Africa, Asia or South America, where weaker legal protections and fleeting regulatory enforcement leaves data subjects vulnerable or exploited regardless of the outcome. We argue

  • Cybernetical Concepts for Cellular Automaton and Artificial Neural Network Modelling and Implementation
    arXiv.cs.OH Pub Date : 2019-11-24
    Patrik Christen; Olivier Del Fabbro

    As a discipline cybernetics has a long and rich history. In its first generation it not only had a worldwide span, in the area of computer modelling, for example, its proponents such as John von Neumann, Stanislaw Ulam, Warren McCulloch and Walter Pitts, also came up with models and methods such as cellular automata and artificial neural networks, which are still the foundation of most modern modelling

  • Quantifying Complexity
    arXiv.cs.OH Pub Date : 2019-05-11
    Luciano da F. Costa

    Complexity remains one of the central challenges in science and technology. Although several approaches at defining and/or quantifying complexity have been proposed, at some point each of them seems to run into intrinsic limitations. Two are the main objectives of the present work: (i) to review some of the main approaches to complexity; and (ii) to suggest a cost-based approach that, to a great extent

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