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Using Fault Injection on the Nanosatellite Subsystems Integration Testing arXiv.cs.OH Pub Date : 2021-02-23 Carlos Leandro Gomes Batista; André Corsetti; Fátima Mattiello-Francisco
Since the 2000's, an increased number of nanosatellites have accessed space. However, studies show that the number of unsuccessful nanosatellite missions is very expressive. Moreover, these statistics are correlated to poor verification and validation processes used by hobbyists satellite developers because major space agencies keep high successful ratings even with small/nano satellites missions due
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A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations arXiv.cs.OH Pub Date : 2021-02-23 Xuecheng Yin; I. Esra Buyuktahtakin
Existing compartmental models in epidemiology are limited in terms of optimizing the resource allocation to control an epidemic outbreak under disease growth uncertainty. In this study, we address this core limitation by presenting a multi-stage stochastic programming compartmental model, which integrates the uncertain disease progression and resource allocation to control an infectious disease outbreak
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Improving Concept Learning Through Specialized Digital Fanzines arXiv.cs.OH Pub Date : 2021-02-22 Jose Manuel Redondo
Specialized digital fanzines were successfully used to facilitate learning problematic concepts in an undergraduate programming course, dynamically adapting to student needs. The design of these fanzines favors creating and reading them quickly by establishing a common graphical layout, rules, and focusing in the most problematic parts of the concepts. This paper details the agile fanzine creation
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Practical application of the multi-model approach in the study of complex systems arXiv.cs.OH Pub Date : 2021-02-16 Anna V. Korolkova; Dmitry S. Kulyabov; Michal Hnatič
Different kinds of models are used to study various natural and technical phenomena. Usually, the researcher is limited to using a certain kind of model approach, not using others (or even not realizing the existence of other model approaches). The authors believe that a complete study of a certain phenomenon should cover several model approaches. The paper describes several model approaches which
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Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media arXiv.cs.OH Pub Date : 2021-02-08 Shoffan Saifullah
This research discusses multi-criteria decision making (MCDM) using Fuzzy-AHP methods of tourism. The fuzzy-AHP process will rank tourism trends based on data from social media. Social media is one of the channels with the largest source of data input in determining tourism development. The development uses social media interactions based on the facilities visited, including reviews, stories, likes
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Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data arXiv.cs.OH Pub Date : 2021-01-21 Philippe Monmousseau; Aude Marzuoli; Eric Feron; Daniel Delahaye
Improving the passenger air travel experience is one of the explicit goals set by the Next Generation Air Transportation System in the United States and by the Advisory Council for Aeronautics Research in Europe FlightPath 2050. Both suggest door-to-door travel times as a potential metric for these objectives. In this paper, we propose a data-driven model to estimate door-to-door travel times and compare
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Computer Architecture-Aware Optimisation of DNA Analysis Systems arXiv.cs.OH Pub Date : 2021-01-13 Hasindu Gamaarachchi
DNA sequencing is revolutionising the field of medicine. DNA sequencers, the machines which perform DNA sequencing, have evolved from the size of a fridge to that of a mobile phone over the last two decades. The cost of sequencing a human genome also has reduced from billions of dollars to hundreds of dollars. Despite these improvements, DNA sequencers output hundreds or thousands of gigabytes of data
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The Study of Urban Residential's Public Space Activeness using Space-centric Approach arXiv.cs.OH Pub Date : 2021-01-11 Billy Pik Lik Lau; Benny Kai Kiat Ng; Chau Yuen; Bige Tuncer; Keng Hua Chong
With the advancement of the Internet of Things (IoT) and communication platform, large scale sensor deployment can be easily implemented in an urban city to collect various information. To date, there are only a handful of research studies about understanding the usage of urban public spaces. Leveraging IoT, various sensors have been deployed in an urban residential area to monitor and study public
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The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences arXiv.cs.OH Pub Date : 2021-01-09 Burhan Rashid Hussein; Chongomweru Halimu; Muhammad Tariq Siddique
Recent development in AI has enabled the expansion of its application to multiple domains. From medical treatment, gaming, manufacturing to daily business processes. A huge amount of money has been poured into AI research due to its exciting discoveries. Technology giants like Google, Facebook, Amazon, and Baidu are the driving forces in the field today. But the rapid growth and excitement that the
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Foresight AND Hindsight arXiv.cs.OH Pub Date : 2020-12-27 Mihai Nadin
To model is to represent. The threshold of decidability defines two epistemological choices: one model (or a finite number of models) suffices for representing the dynamics below the undecidable; above this threshold (defined as G-complexity), every model is partial, no complete modeling is possible.
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A near-optimal policy for single-server scheduling with estimated job sizes arXiv.cs.OH Pub Date : 2020-12-30 Maryam Akbari-Moghaddam; Douglas G. Down
For a single server system, Shortest Remaining Processing Time (SRPT) is a size-based policy that is optimal in the sense that, regardless of the job size distribution, it minimizes the number of jobs in the system at each point in time. However, one reason that size-based policies such as SRPT are rarely deployed in practice is that the exact processing times of jobs are usually not known to the scheduler
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Analogy, Mind, and Life arXiv.cs.OH Pub Date : 2020-12-26 Vitor Manuel Dinis Pereira
I'll show that the kind of analogy between life and information [argue for by authors such as Davies (2000), Walker and Davies (2013), Dyson (1979), Gleick (2011), Kurzweil (2012), Ward (2009)], that seems to be central to the effect that artificial mind may represents an expected advance in the life evolution in Universe, is like the design argument and that if the design argument is unfounded and
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GIS-Based Estimation of Seasonal Solar Energy Potential for Parking Lots and Roads arXiv.cs.OH Pub Date : 2020-12-25 Vishnu Mahesh Vivek Nanda; Laura Tateosian; Perver Baran
The amount of sun cast on roads and parking lots determines the charging opportunities for solar vehicles and impacts the efficiency of conventional vehicles. Estimates of solar energy potential on urban surfaces to assess parking and driving conditions need to account for the shadows cast by surrounding trees and buildings. However, though existing GIS tools can calculate solar potential on surfaces
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Observement as Universal Measurement arXiv.cs.OH Pub Date : 2020-12-07 David G. Green; Kerri Morgan; Marc Cheong
Measurement theory is the cornerstone of science, but no equivalent theory underpins the huge volumes of non-numerical data now being generated. In this study, we show that replacing numbers with alternative mathematical models, such as strings and graphs, generalises traditional measurement to provide rigorous, formal systems (`observement') for recording and interpreting non-numerical data. Moreover
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A Quantum Edge Detection Algorithm arXiv.cs.OH Pub Date : 2020-12-20 Giacomo Cavalieri; Dario Maio
The application of quantum computing to the field of image processing has produced several promising applications: quantum image representation techniques have been developed showing how, by taking advantage of quantum properties like entanglement and superposition, many image processing algorithms could have an exponential speed-up in comparison to their "classical" counterparts. In this paper, after
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Looking for non-compliant documents using error messages from multiple parsers arXiv.cs.OH Pub Date : 2020-12-15 Michael Robinson
Whether a file is accepted by a single parser is not a reliable indication of whether a file complies with its stated format. Bugs within both the parser and the format specification mean that a compliant file may fail to parse, or that a non-compliant file might be read without any apparent trouble. The latter situation presents a significant security risk, and should be avoided. This article suggests
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Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card Data arXiv.cs.OH Pub Date : 2020-11-23 Baichuan Mo; Zhenliang Ma; Haris N. Koutsopoulos; Jinhua Zhao
Transit network simulation models are often used for performance and retrospective analysis of urban rail systems, taking advantage of the availability of extensive automated fare collection (AFC) and automated vehicle location (AVL) data. Important inputs to such models, in addition to origin-destination flows, include passenger path choices and train capacity. Train capacity, which has often been
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6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment arXiv.cs.OH Pub Date : 2020-12-09 Maike Scholtes; Lukas Westhofen; Lara Ruth Turner; Katrin Lotto; Michael Schuldes; Hendrik Weber; Nicolas Wagener; Christian Neurohr; Martin Bollmann; Franziska Körtke; Johannes Hiller; Michael Hoss; Julian Bock; Lutz Eckstein
Verification and validation of automated driving functions impose large challenges. Currently, scenario-based approaches are investigated in research and industry, aiming at a reduction of testing efforts by specifying safety relevant scenarios. To define those scenarios and operate in a complex real-world design domain, a structured description of the environment is needed. Within the PEGASUS research
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RLeave: an in silico cross-validation protocol for transcript differential expression analysis arXiv.cs.OH Pub Date : 2020-12-10 Matheus Costa e Silva; Norma Lucena-Silva; Juliana Doblas Massaro; Eduardo Antônio Donadi
Background and Objective: The massive parallel sequencing technology facilitates new discoveries in terms of transcript differential analysis; however, all the new findings must be validated, since the diversity of transcript expression may impair the identification of the most relevant ones. Methods: The proposed RLeave algorithm (implemented in the R environment) utilizes a combination of conventional
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An Event-Driven Framework for Business Awareness Management arXiv.cs.OH Pub Date : 2020-12-03 Babis Magoutas; Dimitris Apostolou; Gregoris Mentzas
Modern organizations need real-time awareness about the current business conditions and the various events that occur from multiple and heterogeneous environments and influence their business operations. Moreover, based on real-time awareness they need a mechanism that allows them to respond quickly to the changing business conditions, in order to either avoid problematic situations or exploit opportunities
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Technical Report: Selective Imaging of File System Data on Live Systems arXiv.cs.OH Pub Date : 2020-12-03 Fabian Faust; Aurélien Thierry; Tilo Müller; Felix Freiling
In contrast to the common habit of taking full bitwise copies of storage devices before analysis, selective imaging promises to alleviate the problems created by the increasing capacity of storage devices. Imaging is selective if only selected data objects from an image that were explicitly chosen are included in the copied data. While selective imaging has been defined for post-mortem data acquisition
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Impacts of the Space Technology Evolution in the V\&V of Embedded Software-Intensive Systems arXiv.cs.OH Pub Date : 2020-11-26 Carlos Leandro Gomes Batista; Tania Basso; Fátima Mattiello-Francisco; Regina Moraes
CubeSat-based nanosatellites are composed of COTS components and rely on its structure and standardized interfaces. A challenge in the nanosatellites context is to adapt the V\&V (Verification and Validation) process to answer to the increase importance of the embedded software, to reduce the artefacts to be delivered aiming at cutting cost and time and still complying with international standards
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C-ITS bundling for integrated traffic management arXiv.cs.OH Pub Date : 2020-10-14 Evangelos Mitsakis; Areti Kotsi; Vasileios Psonis
Cooperative Intelligent Transportation Systems (C-ITS) enable vehicles communication with each other (Vehicle-to-Vehicle, V2V) and with roadside infrastructure (Vehicle-to-Infrastructure, V2I). In the context of traffic efficiency, C-ITS technologies could assist in road network status visualization and monitoring, through data exchange, improving this way traffic control organization and traffic management
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AI Chiller: An Open IoT Cloud Based Machine Learning Framework for the Energy Saving of Building HVAC System via Big Data Analytics on the Fusion of BMS and Environmental Data arXiv.cs.OH Pub Date : 2020-10-09 Yong Yu
Energy saving and carbon emission reduction in buildings is one of the key measures in combating climate change. Heating, Ventilation, and Air Conditioning (HVAC) system account for the majority of the energy consumption in the built environment, and among which, the chiller plant constitutes the top portion. The optimization of chiller system power consumption had been extensively studied in the mechanical
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Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction arXiv.cs.OH Pub Date : 2020-10-27 Muhammad Umer; Saima Sadiq; Abid Ishaq; Saleem Ullah; Najia Saher; Hamza Ahmad Madni
Rapid increase of traffic volume on urban roads over time has changed the traffic scenario globally. It has also increased the ratio of road accidents that can be severe and fatal in the worst case. To improve traffic safety and its management on urban roads, there is a need for prediction of severity level of accidents. Various machine learning models are being used for accident prediction. In this
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Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation arXiv.cs.OH Pub Date : 2020-09-30 Rodolfo M. Favaretto; Roberto R. Santos; Marcio Ballotin; Paulo Knob; Soraia R. Musse; Felipe Vilanova; Angelo B. Costa
This paper presents a study regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures -- the personal spaces -- in two Countries: Brazil and Germany. In order to coherently compare Germany and Brazil evolutions with same population applying same task, we performed the pedestrian Fundamental Diagram experiment in Brazil, as performed
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A microsimulation approach for the impact assessment of a Vehicle-to-Infrastructure based Road Hazard Warning system arXiv.cs.OH Pub Date : 2020-10-14 Kallirroi N. Porfyri; Areti Kotsi; Evangelos Mitsakis
Cooperative Intelligent Transportation Systems (C-ITS) constitute technologies which enable vehicles to communicate with each other and with road infrastructure. Verification or testing is required for C-ITS applications, in order to assess their impact on traffic operation. In this work, a microscopic traffic simulation approach is used, to evaluate the impact of Vehicle-to-Infrastructure (V2I) technologies
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To Lane or Not to Lane? Comparing On-Road Experiences in Developing and Developed Countries using a New Simulator "RoadBird" arXiv.cs.OH Pub Date : 2020-10-15 Md. Masum Mushfiq; Tarik Reza Toha; Saiful Islam Salim; Aaiyeesha Mostak; Masfiqur Rahaman; Najla Abdulrahman Al-Nabhan; Arif Mohamin Sadri; A. B. M. Alim Al Islam
Even though the traffic systems in developed countries have been analyzed with rigor and operated efficiently, the same does not generally hold for developing countries due to inadequate planning, design, and operations of their transportation systems. Because of inherent differences between internal infrastructures, the systems deployed in developed countries may not be amenable to developing ones
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Arc Flow Formulations Based on Dynamic Programming: Theoretical Foundations and Applications arXiv.cs.OH Pub Date : 2020-10-01 Vinícius L. de Lima; Cláudio Alves; François Clautiaux; Manuel Iori; José M. Valério de Carvalho
Network flow formulations are among the most successful tools to solve optimization problems. One of such formulations is the arc flow, where variables represent flows on individual arcs of the network. For $\mathcal{NP}$-hard problems, polynomial-sized arc flow models typically provide weak linear relaxations and may have too much symmetry to be efficient in practice. Instead, arc flow models with
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Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions arXiv.cs.OH Pub Date : 2020-09-15 Jon Lee; Daphne Skipper; Emily Speakman; Luze Xu
We study MINLO (mixed-integer nonlinear optimization) formulations of the disjunction $x\in\{0\}\cup[\ell,u]$, where $z$ is a binary indicator of $x\in[\ell,u]$ ($0 \leq \ell 1$.
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JXES: JSON Support for the XES Event Log Standard arXiv.cs.OH Pub Date : 2020-09-14 Madhavi Bangalore Shankara Narayana; Hossameldin Khalifa; Wil van der Aalst
Process mining assumes the existence of an event log where each event refers to a case, an activity, and a point in time. XES is an XML based IEEE approved standard format for event logs supported by most of the process mining tools. JSON (JavaScript Object Notation) is a lightweight data interchange format. In this paper, we present JXES, the JSON standard for the event logs and also provide implementation
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On the Battery Consumption of Mobile Browsers arXiv.cs.OH Pub Date : 2020-08-06 Matteo Varvello; Benjamin Livshits
Mobile web browsing has recently surpassed desktop browsing both in term of popularity and traffic. Following its desktop counterpart, the mobile browsers ecosystem has been growing from few browsers (Chrome, Firefox, and Safari) to a plethora of browsers, each with unique characteristics (battery friendly, privacy preserving, lightweight, etc.). In this paper, we introduce a browser benchmarking pipeline
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How to Design While Loops arXiv.cs.OH Pub Date : 2020-08-21 Marco T. MorazánSeton Hall University
Beginning students find the syntactic construct known as a while loop difficult to master. The difficulties revolve around guaranteeing loop termination and around learning how to properly sequence mutations to solve a problem. In fact, both of these are intertwined and students need to be taught a model that helps them reason about how to design while loops. For students that have been introduced
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Two-stage optimization of urban rail transit formation and real-time station control at comprehensive transportation hub arXiv.cs.OH Pub Date : 2020-08-26 Hualing Ren; Yingjie Song; Shubin Li
This paper tries to discuss two strategies of dealing with this complex passenger demand from two aspects: transit train formation and real-time holding control. The genetic algorithm (GA) is designed to solve the integrated two-stage model of optimizing the number, timetable and real-time holding control of the multi-marshalling operated trains. The numerical results show that the combined two-stage
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LED wristbands for Cell-based Crowd Evacuation: an Adaptive Exit-choice Guidance System Architecture arXiv.cs.OH Pub Date : 2020-08-19 Miguel A. Lopez-Carmona; Alvaro Paricio
Cell-based crowd evacuation systems provide adaptive or static exit-choice indications that favor a coordinated group dynamic, improving evacuation time and safety. While a great effort has been made to modeling its control logic by assuming an ideal communication and positioning infrastructure, the architectural dimension and the influence of pedestrian positioning uncertainty have been largely overlooked
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Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring arXiv.cs.OH Pub Date : 2020-08-22 Christoph Klemenjak; Stephen Makonin; Wilfried Elmenreich
Prudent and meaningful algorithm performance evaluation is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performance evaluation can be conducted on real-world aggregate signals, provided by smart energy meters, or artificial superpositions of individual load signals (i.e., denoised aggregates). It has long been suspected that testing on these
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IoT Applications in Urban Sustainability arXiv.cs.OH Pub Date : 2020-07-23 Samiya Khan; Mohammad Moazum Wani; Mansaf Alam
Internet of Things is one of the driving technologies behind the concept of Smart Cities and is capable of playing a significant role in facilitating urban sustainable development. This chapter explores the relationship between three core concepts namely Smart Cities, Internet of Things and Sustainability; thereby identifying the challenges and opportunities that exist in the synergistic use of Internet
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Statistically Significant Pattern Mining with Ordinal Utility arXiv.cs.OH Pub Date : 2020-08-24 Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma
Statistically significant patterns mining (SSPM) is an essential and challenging data mining task in the field of knowledge discovery in databases (KDD), in which each pattern is evaluated via a hypothesis test. Our study aims to introduce a preference relation into patterns and to discover the most preferred patterns under the constraint of statistical significance, which has never been considered
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City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic arXiv.cs.OH Pub Date : 2020-08-11 Shubhada Agrawal; Siddharth Bhandari; Anirban Bhattacharjee; Anand Deo; Narendra M. Dixit; Prahladh Harsha; Sandeep Juneja; Poonam Kesarwani; Aditya Krishna Swamy; Preetam Patil; Nihesh Rathod; Ramprasad Saptharishi; Sharad Shriram; Piyush Srivastava; Rajesh Sundaresan; Nidhin Koshy Vaidhiyan; Sarath Yasodharan
We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the context of the COVID-19 pandemic and demonstrate the power of the simulator via several exploratory case studies in two metropolises, Bengaluru and Mumbai. Such tools become common-place in any city administration's tool kit
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Herramientas tecnológicas en Android para la formación de mapeadores y promotores de Mapa Verde arXiv.cs.OH Pub Date : 2020-07-21 Yosvany Medina Carbó; C. Álvaro Celestino Alonso Vázquez; Reina María Rodríguez García
When you talk about technologies and the environment, you usually imagine a lot of equipment, techniques, technologies and tools polluting the natural environment. The good and bad consequences of our development have been projected on the planet for years, and part of that development is reflected in the new technologies, among which is the mobile phone. In the municipality of Consolaci\'on del Sur
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Probabilistic Cellular Automata for Granular Media in Video Games arXiv.cs.OH Pub Date : 2020-08-13 Jonathan Devlin; Micah D. Schuster
Granular materials are very common in the everyday world. Media such as sand, soil, gravel, food stuffs, pharmaceuticals, etc. all have similar irregular flow since they are composed of numerous small solid particles. In video games, simulating these materials increases immersion and can be used for various game mechanics. Computationally, full scale simulation is not typically feasible except on the
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Computational Framework for Behind-The-Meter DER Techno-Economic Modeling and Optimization -- REopt Lite arXiv.cs.OH Pub Date : 2020-08-12 Sakshi Mishra; Josiah Pohl; Nick Laws; Dylan Cutler; Ted Kwasnik; William Becker; Alex Zolan; Kate Anderson; Dan Olis; Emma Elgqvist
The global energy system is undergoing a major transformation. Renewable energy generation is growing and is projected to accelerate further with the global emphasis on decarbonization. Furthermore, distributed generation is projected to play a significant role in the new energy system, and energy models are playing a key role in understanding how distributed generation can be integrated reliably and
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Probabilistic Resilience of DER systems -- A Simulation Assisted Optimization Approach arXiv.cs.OH Pub Date : 2020-08-12 Sakshi Mishra; Kate Anderson
Energy systems resilience is becoming increasingly important as the frequency of major grid outages increases. In this work, we present a methodology to optimize a behind-the-meter distributed energy resource system to sustain a site's critical loads during a pre-defined utility outage period. With the fixed system design, we then propose an outage simulation approach to estimate the resilience potential
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Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations arXiv.cs.OH Pub Date : 2020-08-07 Sheng Li; Maxim Egorov; Mykel J. Kochenderfer
A significant challenge in estimating operational feasibility of Urban Air Mobility (UAM) missions lies in understanding how choices in design impact the performance of a complex system-of-systems. This work examines the ability of the UAM ecosystem and the operations within it to meet a variety of demand profiles that may emerge in the coming years. We perform a set of simulation driven feasibility
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Quality Classification of Defective Parts from Injection Moulding arXiv.cs.OH Pub Date : 2020-07-08 Adithya Venkatadri Hulagadri
This report examines machine learning algorithms for detecting short forming and weaving in plastic parts produced by injection moulding. Transfer learning was implemented by using pretrained models and finetuning them on our dataset of 494 samples of 150 by 150 pixels images. The models tested were Xception, InceptionV3 and Resnet-50. Xception showed the highest overall accuracy (86.66%), followed
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Value Entropy Model: Metric Method of Service Ecosystem Evolution arXiv.cs.OH Pub Date : 2020-07-09 Xiao Xue; Zhaojie Chen; Shufang Wang; Zhiyong Feng; Yucong Duan; Zhangbing Zhou
With the development of cloud computing, service computing, IoT(Internet of Things) and mobile Internet, the diversity and sociality of services are increasingly apparent. To meet the customized user demands, service ecosystems begins to emerge with the formation of various IT services collaboration network. However, service ecosystem is a complex social-technology system with the characteristics of
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No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems (Extended Version) arXiv.cs.OH Pub Date : 2020-08-04 Behrad Soleimani; Behzad Khamidehi; Maryam Sabbaghian
This paper develops a method to obtain the optimal value for the regularization coefficient in a general mixed-integer problem (MIP). This approach eliminates the cross-validation performed in the existing penalty techniques to obtain a proper value for the regularization coefficient. We obtain this goal by proposing an alternating method to solve MIPs. First, via regularization, we convert the MIP
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Value driven Analysis Framework of Service Ecosystem Evolution Mechanism arXiv.cs.OH Pub Date : 2020-07-09 Xiao Xue; Deyu Zhou; Yaodan Guo; Zhiyong Feng; Lejun Zhang; Lin Meng
With the development of cloud computing, service computing, IoT(Internet of Things) and mobile Internet, the diversity and sociality of services are increasingly apparent. To meet the customized user demands, Service Ecosystem is emerging as a complex social-technology system, which is formed with various IT services through cross-border integration. However, how to analyze and promote the evolution
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Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry arXiv.cs.OH Pub Date : 2020-07-24 Jannis Walk; Niklas Kühl; Jonathan Schäfer
Sustainability is the key concept in the management of products that reached their end-of-life. We propose that end-of-life products have -- besides their value as recyclable assets -- additional value for producer and consumer. We argue this is especially true for the machining industry, where we illustrate an automatic characterization of worn cutting tools to foster value co-creation between tool
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3D city models for urban farming site identification in buildings arXiv.cs.OH Pub Date : 2020-07-27 Ankit Palliwal; Shuang Song; Hugh Tiang Wah Tan; Filip Biljecki
Studies have suggested that there is farming potential in urban residential buildings. However, these studies are limited in scope, require field visits and time-consuming measurements. Furthermore, they have not suggested ways to identify suitable sites on a larger scale let alone means of surveying numerous micro-locations across the same building. Using a case study area focused on high-rise buildings
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BIDEAL: A Toolbox for Bicluster Analysis -- Generation, Visualization and Validation arXiv.cs.OH Pub Date : 2020-07-26 Nishchal K. Verma; T. Sharma; S. Dixit; P. Agrawal; S. Sengupta; V. Singh
This paper introduces a novel toolbox named BIDEAL for the generation of biclusters, their analysis, visualization, and validation. The objective is to facilitate researchers to use forefront biclustering algorithms embedded on a single platform. A single toolbox comprising various biclustering algorithms play a vital role to extract meaningful patterns from the data for detecting diseases, biomarkers
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Automatic Parking in Smart Cities arXiv.cs.OH Pub Date : 2020-06-17 Arezou AbyanehQatar University; Vanessa FakhouryLund University; Nizar ZorbaQatar University
The objective behind this project is to maximize the efficiency of land space, to decrease the driver stress and frustration, along with a considerable reduction in air pollution. Our contribution is in the form of an automatic parking system that is controlled by cellular phones. The structure is a hexagon shape that uses conveyor belts, to transport the vehicles from the entrance into the parking
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Privacy vs National Security arXiv.cs.OH Pub Date : 2020-07-10 Tajdar Jawaid
There are growing concerns and anxiety about privacy among the general public especially after the revelations of former NSA contractor and whistleblowers like Edward Snowden and others. While privacy is the fundamental concept of being human, the growing tug-of-war between an individuals privacy and freedom vs national security has renewed the concerns about where the fine balance should lie between
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Genetic Algorithm: Reviews, Implementations, and Applications arXiv.cs.OH Pub Date : 2020-06-05 Tanweer Alam; Shamimul Qamar; Amit Dixit; Mohamed Benaida
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as an adaptive technique to learn and solve complex problems and issues. It is a meta-heuristic approach that is used to solve hybrid computation challenges. GA utilizes selection, crossover, and mutation operators to effectively manage the searching system strategy. This algorithm is derived from natural selection and genetics
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Observing the Invisible: Live Cache Inspection for High-Performance Embedded Systems arXiv.cs.OH Pub Date : 2020-07-23 Dharmesh Tarapore; Shahin Roozkhosh; Steven Brzozowski; Renato Mancuso
The vast majority of high-performance embedded systems implement multi-level CPU cache hierarchies. But the exact behavior of these CPU caches has historically been opaque to system designers. Absent expensive hardware debuggers, an understanding of cache makeup remains tenuous at best. This enduring opacity further obscures the complex interplay among applications and OS-level components, particularly
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Deep Learning-Based FPGA Function Block Detection Method using an Image-Coded Representation of Bitstream arXiv.cs.OH Pub Date : 2020-07-20 Minzhen ChenZhejiang University, Hangzhou, China; Peng LiuZhejiang University, Hangzhou, China
Examining field-programmable gate array (FPGA) bitstream is found to help detect known function blocks, which offers assistance and insight to analyze the circuit's system function. Our goal is to detect one or more than one function block in FPGA design from a complete bitstream by utilizing the latest deep learning techniques, which do not require manually designing features. To this end, in this
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Pediatric Chest Radiography Research Agenda: Is Deep Learning Still in Childhood? arXiv.cs.OH Pub Date : 2020-07-20 Afonso U. Fonseca; Gabriel S. Vieira; Fabrízzio A. A. M. N. Soares; Renato F. Bulcão-Neto
Despite advances in the acquisition of medical imaging and computer-aided support techniques, x-rays due to their low cost, high availability and low radiation levels are still an important diagnostic procedure, constituting the most frequently performed radiographic examination in pediatric patients for disease investigation while researchers are looking for increasingly efficient techniques to support
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SAXSDOG: open software for real-time azimuthal integration of 2D scattering images arXiv.cs.OH Pub Date : 2020-07-04 Max Burian; Christian Meisenbichler; Denys Naumenko; Heinz Amenitsch
In-situ small- and wide-angle scattering experiments at synchrotrons often result in massive amounts of data within seconds only. Especially during such beamtimes, processing of the acquired data online, so without mentionable delay, is key to obtain feedback on failure or success of the experiment. We thus developed SAXSDOG, a python based environment for real-time azimuthal integration of large-area
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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
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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
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