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Promoting the linguistic diversity of TEI in the Maghreb and the Arab region arXiv.cs.OH Pub Date : 2024-04-16 Henri HudrisierChaire Unesco-ITEN, Rachid ZghibiISD, Sihem ZghidiISD, Mokhtar Ben HendaMICA, ISD, GRESIC, ISIC, Chaire Unesco-ITEN
The project targets both oral corpus and the rich text resources written in the Maghreb region. It focuses particularly on the continuity, for more than 12 centuries, of a classical still alive Arabic language and on the extreme hybridization of vernacular languages sustained by the rich Libyan, Roman, Hebrew and Ottoman influences and by the more recent French, Spanish and Italian linguistic interference
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Towards a Cloud-based Smart Office Solution for Shared Workplace Individualization arXiv.cs.OH Pub Date : 2024-03-27 Dominik Hasiwar, Andreas Gruber, Christian Dragschitz, Igor Ivkić
In the evolving landscape of workplace dynamics, the shift towards hybrid working models has highlighted inefficiencies in the use of traditional office space and the need for an improved employee experience. In this position paper we propose a Smart Office solution that addresses these challenges by integrating a microservice architecture with Internet of Things (IoT) technologies to provide a flexible
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Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service arXiv.cs.OH Pub Date : 2024-03-27 Igor Ivkić, Tobias Buhmann, Burkhard List, Clemens Gnauer
The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally damaging practice of mass-producing products in distant countries and then transporting
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New algorithms for the simplification of multiple trajectories under bandwidth constraints arXiv.cs.OH Pub Date : 2024-03-07 Gilles Dejaegere, Mahmoud Sakr
This study introduces time-windowed variations of three established trajectory simplification algorithms. These new algorithms are specifically designed to be used in contexts with bandwidth limitations. We present the details of these algorithms and highlight the differences compared to their classical counterparts. To evaluate their performance, we conduct accuracy assessments for varying sizes of
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Urban Green Index estimation based on data collected by remote sensing for Romanian cities arXiv.cs.OH Pub Date : 2024-02-28 Marian Necula, Tudorel Andrei, Bogdan Oancea, Mihaela Păun
The modernization of offi cial statistics involves the use of new data sources, such as data collected through remote sensing. The document contains a description of how an urban green index, derived from the SDG 11.7 objective, was obtained for Romania's 41 county seat cities based on free data sets collected by remote sensing from the European and North American space agencies. The main result is
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An IoT Based Water-Logging Detection System: A Case Study of Dhaka arXiv.cs.OH Pub Date : 2024-02-25 Md Manirul Islam, Md. Sadad Mahamud, Umme Salsabil, A. A. M. Mazharul Amin, Samiul Haque Suman
With a large number of populations, many problems are rising rapidly in Dhaka, the capital city of Bangladesh. Water-logging is one of the major issues among them. Heavy rainfall, lack of awareness and poor maintenance causes bad sewerage system in the city. As a result, water is overflowed on the roads and sometimes it gets mixed with the drinking water. To overcome this problem, this paper realizes
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Selenium-Jupiter: A JUnit 5 extension for Selenium WebDriver arXiv.cs.OH Pub Date : 2024-02-01 Boni García, Carlos Delgado Kloos, Carlos Alario-Hoyos, Mario Munoz-Organero
Selenium WebDriver is a library that allows controlling web browsers (e.g., Chrome, Firefox, etc.) programmatically. It provides a cross-browser programming interface in several languages used primarily to implement end-to-end tests for web applications. JUnit is a popular unit testing framework for Java. Its latest version (i.e., JUnit 5) provides a programming and extension model called Jupiter.
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Design of an Analog Memory Cell in 0.25 micron CMOS process arXiv.cs.OH Pub Date : 2024-02-04 Paramita Barai
CMOS VLSI technology is the most dominant integration methodology prevailing in the world today. Various signal-processing blocks are made using analog or digital design techniques in MOS VLSI. An important component is the Memory unit used to store data. In the project a memory cell has been built up using analog design method. A capacitor is used as the basic storage device. The main idea behind
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Is 3-(F)WL Enough to Distinguish All 3D Graphs? arXiv.cs.OH Pub Date : 2024-01-24 Wanghan Xu
The problem of graph isomorphism is an important but challenging problem in the field of graph analysis, for example: analyzing the similarity of two chemical molecules, or studying the expressive ability of graph neural networks. WL test is a method to judge whether two graphs are isomorphic, but it cannot distinguish all non-isomorphic graphs. As an improvement of WL, k-WL has stronger isomorphism
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A novel method to compute the contact surface area between an organ and cancer tissue arXiv.cs.OH Pub Date : 2024-01-19 Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni
With "contact surface area" (CSA) we refers to the area of contact between a tumor and an organ. This indicator has been identified as a predictive factor for surgical peri-operative parameters, particularly in the context of kidney cancer. However, state-of-the-art algorithms for computing the CSA rely on assumptions about the tumor shape and require manual human annotation. In this study, we introduce
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Challenge design roadmap arXiv.cs.OH Pub Date : 2024-01-15 Hugo Jair Escalante BalderasLISN, TAU, Isabelle GuyonLISN, TAU, Addison HowardTAU, Walter ReadeTAU, Sebastien TreguerTAU
Challenges can be seen as a type of game that motivates participants to solve serious tasks. As a result, competition organizers must develop effective game rules. However, these rules have multiple objectives beyond making the game enjoyable for participants. These objectives may include solving real-world problems, advancing scientific or technical areas, making scientific discoveries, and educating
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Petri Nets for Smart Grids: The Story So Far arXiv.cs.OH Pub Date : 2024-01-10 Mouzhi Ge, Bruno Rossi, Stanislav Chren, José Miguel Blanco
Since the energy domain is in a transformative shift towards sustainability, the integration of new technologies and smart systems into traditional power grids has emerged. As an effective approach, Petri Nets (PN) have been applied to model and analyze the complex dynamics in Smart Grid (SG) environments. However, we are currently missing an overview of types of PNs applied to different areas and
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Portable medical devices creation technology by using the Bluetooth module arXiv.cs.OH Pub Date : 2024-01-07 A. O. Dadukin, N. I. Pchelintseva
The article is devoted Bluetooth wireless personal area networks specification, which provides standard for exchanging data over short distances. It is shown how the technology has evolved and its application in the design of devices. Health Device Profile considered in details, which the main feature is the work of a medical orientation devices.
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Using Terrestrial Laser Scanning, Unmanned Aerial Vehicles and Mixed Reality Methodologies for Digital Survey, 3D Modelling and Historical Recreation of Religious Heritage Monuments arXiv.cs.OH Pub Date : 2023-12-31 Aristeidis Zachos, Christos-Nikolaos Anagnostopoulos
Preserving and safeguarding the Cultural Heritage (CH) of our world from unforeseen hazards should be viewed as a collective responsibility for humanity. Consequently, there is a growing imperative for targeted measures aimed at conserving, rejuvenating, and safeguarding historical assets that carry cultural significance. In recent times, Terrestrial Laser Scanning (TLS), Unmanned Aerial Vehicle (UAV)
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On the relevance of the Godot Engine in the indie game development industry arXiv.cs.OH Pub Date : 2023-12-27 Julian Holfeld
This paper examines the relevance of the Godot Engine in the indie game industry. The Godot Engine is a relatively new game engine from 2014 and competes with leading market players. To get to the bottom of its relevance, two major online sales platforms and the game engines that are commonly used, Steam and itch.io, are examined. Mainly, these findings are compared with reference data from 2018. It
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Analog Circuit Sizing Using Machine Learning Based Transistor Circuit Model arXiv.cs.OH Pub Date : 2023-11-27 Alireza Bagheri Rajeoni
In this work, a new method for designing an analog circuit for deep sub-micron CMOS fabrication processes is proposed. The proposed method leverages the regression algorithms with the transistor circuit model to size a transistor in 0.18 um technology fast and without using simulation software. Threshold voltage, output resistance, and the product of mobility and oxide capacitance are key parameters
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Rock Climbing Route Generation and Grading as Computational Creativity arXiv.cs.OH Pub Date : 2023-11-03 Jesse Roberts
In this paper, we bridge work in rock climbing route generation and grading into the computational creativity community. We provide the necessary background to situate that literature and demonstrate the domain's intellectual merit in the computational creativity community. We provide a guiding set of desiderata for future work in this area. We propose an approach to computational route grading. Finally
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Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users Perspective arXiv.cs.OH Pub Date : 2023-11-01 AKM Bahalul Haque, A. K. M. Najmul Islam, Patrick Mikalef
The growing attention to artificial intelligence-based applications has led to research interest in explainability issues. This emerging research attention on explainable AI (XAI) advocates the need to investigate end user-centric explainable AI. Thus, this study aims to investigate usercentric explainable AI and considered recommendation systems as the study context. We conducted focus group interviews
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"Just a little bit on the outside for the whole time": Social belonging confidence and the persistence of Machine Learning and Artificial Intelligence students arXiv.cs.OH Pub Date : 2023-10-30 Katherine Mao, Sharon Ferguson, James Magarian, Alison Olechowski
The growing field of machine learning (ML) and artificial intelligence (AI) presents a unique and unexplored case within persistence research, meaning it is unclear how past findings from engineering will apply to this developing field. We conduct an exploratory study to gain an initial understanding of persistence in this field and identify fruitful directions for future work. One factor that has
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CTMaaS: An innovative platform for C-ITS-enabled dynamic Traffic and Fleet Management as a Service arXiv.cs.OH Pub Date : 2023-10-21 Areti Kotsi, Vasileia Klimi, Evangelos Mitsakis
Fleet management systems have been one of the most important research fields in transportation science. Nowadays the enhancement of fleet management systems with technologies such as the Cooperative Intelligent Transport System (CITS) that allows fleets to communicate with their environment, with other vehicles or with the road infrastructure, resulting in safer and more efficient road travel. This
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All you need is data: the added value of National Access Points as backbone European ITS data exchange infrastructures arXiv.cs.OH Pub Date : 2023-10-21 Chrysostomos Mylonas, Maria Stavara, Evangelos Mitsakis
Intelligent Transport Systems are crucial in the digital transformation of transportation. The EC mandates the establishment of National Access Points (NAPs) in each Member State, serving as common national interfaces for ITS data exchange. While progress has been made in standardizing NAP data, integration with operational ITS practices remain limited. This paper presents five NAP use cases from the
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Large scale deployment of C-ITS: Impact assessment results of the C-Roads Greece pilots arXiv.cs.OH Pub Date : 2023-10-21 Areti Kotsi, Evangelos Mitsakis
This paper aims to provide insights related to the impact assessment and evaluation results from the use of CITS services in the Greek pilot of the CRoads Greece project, i.e., Attica Tollway and Egnatia Odos Tollway. The impact assessment and evaluation of the CITS services includes aspects related to user acceptance, real world pilot logs collected from the two pilots, and simulation experiments
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Solving the multiplication problem of a large language model system using a graph-based method arXiv.cs.OH Pub Date : 2023-10-18 Turker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Abdul Hafeez-Baig, Ru-San Tan, Subrata Chakraborty, U. Rajendra Acharya
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic problems, especially multiplication. Its GPT structure uses a computational graph for multiplication, which has limited accuracy beyond simple multiplication operations. We developed a graph-based multiplication algorithm that
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Metacognitive threshold: a computational account arXiv.cs.OH Pub Date : 2023-10-14 Brendan Conway-Smith, Robert L. West
This paper will explore ways of computationally accounting for the metacognitive threshold -- the minimum amount of stimulus needed for a mental state to be perceived -- and discuss potential cognitive mechanisms by which this threshold can be influenced through metacognitive training and meditation.
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Fault Trees, Decision Trees, And Binary Decision Diagrams: A Systematic Comparison arXiv.cs.OH Pub Date : 2023-10-03 L. A. Jimenez-Roa, T. Heskes, M. Stoelinga
In reliability engineering, we need to understand system dependencies, cause-effect relations, identify critical components, and analyze how they trigger failures. Three prominent graph models commonly used for these purposes are fault trees (FTs), decision trees (DTs), and binary decision diagrams (BDDs). These models are popular because they are easy to interpret, serve as a communication tool between
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How do users design scientific workflows? The Case of Snakemake arXiv.cs.OH Pub Date : 2023-09-25 Sebastian Pohl, Nourhan Elfaramawy, Kedi Cao, Birte Kehr, Matthias Weidlich
Scientific workflows automate the analysis of large-scale scientific data, fostering the reuse of data processing operators as well as the reproducibility and traceability of analysis results. In exploratory research, however, workflows are continuously adapted, utilizing a wide range of tools and software libraries, to test scientific hypotheses. Script-based workflow engines cater to the required
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Morphological Computing as Logic Underlying Cognition in Human, Animal, and Intelligent Machine arXiv.cs.OH Pub Date : 2023-09-25 Gordana Dodig-Crnkovic
This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inherent logic of agency exists in natural processes at various levels, under information
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Proceedings of the XII International Workshop on Locational Analysis and Related Problems arXiv.cs.OH Pub Date : 2023-09-15 Marta Baldomero-Naranjo, Víctor Blanco, Sergio García, Ricardo Gázquez, Jörg Kalcsics, Luisa I. Martínez-Merino, Juan M. Muñoz-Ocaña, Francisco Temprano, Alberto Torrejón
The International Workshop on Locational Analysis and Related Problems will take place during September 7-8, 2023 in Edinburgh (United Kingdom). 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
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Towards an Interoperability Roadmap for the Energy Transition arXiv.cs.OH Pub Date : 2023-09-15 Valerie Reif, Thomas I. Strasser, Joseba Jimeno, Marjolaine Farre, Oliver Genest, Amélie Gyrard, Mark McGranaghan, Gianluca Lipari, Johann Schütz, Mathias Uslar, Sebastian Vogel, Arsim Bytyqi, Rita Dornmair, Andreas Corusa, Gaurav Roy, Ferdinanda Ponci, Alberto Dognini, Antonello Monti
Smart grid interoperability is the means to achieve the twin green and digital transition but re-mains heterogeneous and fragmented to date. This work presents the first ideas and corner-stones of an Interoperability Roadmap for the Energy Transition that is being developed by the Horizon Europe int:net project. This roadmap builds on four cornerstones that address open interoperability issues. These
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Wordification: A New Way of Teaching English Spelling Patterns arXiv.cs.OH Pub Date : 2023-08-29 Lexington Whalen, Nathan Bickel, Shash Comandur, Dalton Craven, Stanley Dubinsky, Homayoun Valafar
Literacy, or the ability to read and write, is a crucial indicator of success in life and greater society. It is estimated that 85% of people in juvenile delinquent systems cannot adequately read or write, that more than half of those with substance abuse issues have complications in reading or writing and that two-thirds of those who do not complete high school lack proper literacy skills. Furthermore
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Inferring Power Grid Information with Power Line Communications: Review and Insights arXiv.cs.OH Pub Date : 2023-08-21 Abdulah Jarouf, Javier Hernandez Fernandez, Aymen Omri, Roberto Di Pietro
High-frequency signals were widely studied in the last decade to identify grid and channel conditions in PLNs. PLMs operating on the grid's physical layer are capable of transmitting such signals to infer information about the grid. Hence, PLC is a suitable communication technology for SG applications, especially suited for grid monitoring and surveillance. In this paper, we provide several contributions:
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An Efficient Early-breaking Estimation and Tree-splitting Missing RFID Tag Identification Protocol arXiv.cs.OH Pub Date : 2023-08-16 Lijuan Zhang, Mingqiu Fan, Chunni Yu, Lei Lei
Recent statistics have demonstrated that missing items have become the main cause of loss for retailers in inventory management. To quickly identify missing tags, traditional protocols adopt Aloha-based strategies which take a long time, especially when the number of tags is large. Among them, few works considered the effect of unexpected unknown tags on the missing tag identification process. With
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IoT Based Smart Attendance System Using Rfid: A Systematic Literature Review arXiv.cs.OH Pub Date : 2023-08-03 Kashif Ishaq, Samra Bibi
The use of Radio Frequency Identification (RFID) technology is ubiquitous in a number of businesses and sectors, including retail sales, smart cities, agriculture, and transportation. Additionally, educational institutions have started using RFID to track student attendance, combining this technology with Google Sheets and the Internet of Things (IoT) to build a real-time attendance tracking system
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Analytical Solution of Poisson's Equation with Application to VLSI Global Placement arXiv.cs.OH Pub Date : 2023-07-22 Wenxing Zhu, Zhipeng Huang, Jianli Chen, Yao-Wen Chang
Poisson's equation has been used in VLSI global placement for describing the potential field caused by a given charge density distribution. Unlike previous global placement methods that solve Poisson's equation numerically, in this paper, we provide an analytical solution of the equation to calculate the potential energy of an electrostatic system. The analytical solution is derived based on the separation
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Impacts of Business Architecture in the Context of Digital Transformation: An Empirical Study Using PLS-SEM Approach arXiv.cs.OH Pub Date : 2023-07-21 Dennis O'Higgins
Despite the critical importance of Digital Transformation, up to 95% of initiatives fail to deliver expected business benefits. This paper explores the role of Business Architecture practices in enhancing digital transformation success. Using an adapted Balanced Scorecard approach and a Structural Equation Model (SEM), we analysed survey responses from 129 industry practitioners using a Partial Least
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Development of an Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits arXiv.cs.OH Pub Date : 2023-07-20 Kevin Setterstrom, Jeremy Straub
As the autonomous vehicle industry continues to grow, various companies are exploring the use of aftermarket kits to retrofit existing vehicles with semi-autonomous capabilities. However, differences in implementation of the controller area network (CAN) used by each vehicle manufacturer poses a significant challenge to achieving large-scale implementation of retrofits. To address this challenge, this
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Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition arXiv.cs.OH Pub Date : 2023-07-21 Christoph Glasmacher, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Lutz Eckstein
Scenario-based testing is becoming increasingly important in safety assurance for automated driving. However, comprehensive and sufficiently complete coverage of the scenario space requires significant effort and resources if using only real-world data. To address this issue, driving scenario generation methods are developed and used more frequently, but the benefit of substituting generated data for
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ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge arXiv.cs.OH Pub Date : 2023-07-18 Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis
The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The development of ChatGPT was a significant mile-stone, as it demonstrated the potential of large-scale language models to generate natural language responses that are
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Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems arXiv.cs.OH Pub Date : 2023-07-12 Anees Al-Najjar, Nageswara S. V. Rao, Ramanan Sankaran, Helia Zandi, Debangshu Mukherjee, Maxim Ziatdinov, Craig Bridges
We propose a framework to develop cyber solutions to support the remote steering of science instruments and measurements collection over instrument-computing ecosystems. It is based on provisioning separate data and control connections at the network level, and developing software modules consisting of Python wrappers for instrument commands and Pyro server-client codes that make them available across
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The Impact of Process Complexity on Process Performance: A Study using Event Log Data arXiv.cs.OH Pub Date : 2023-07-11 Maxim Vidgof, Bastian Wurm, Jan Mendling
Complexity is an important characteristic of any business process. The key assumption of much research in Business Process Management is that process complexity has a negative impact on process performance. So far, behavioral studies have measured complexity based on the perception of process stakeholders. The aim of this study is to investigate if such a connection can be supported based on the analysis
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Towards a unified language in experimental designs propagated by a software framework arXiv.cs.OH Pub Date : 2023-07-11 Emi Tanaka
Experiments require human decisions in the design process, which in turn are reformulated and summarized as inputs into a system (computational or otherwise) to generate the experimental design. I leverage this system to promote a language of experimental designs by proposing a novel computational framework, called "the grammar of experimental designs", to specify experimental designs based on an object-oriented
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Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI arXiv.cs.OH Pub Date : 2023-07-08 Gerardo Adesso
This paper presents a novel approach to scientific discovery using an artificial intelligence (AI) environment known as ChatGPT, developed by OpenAI. This is the first paper entirely generated with outputs from ChatGPT. We demonstrate how ChatGPT can be instructed through a gamification environment to define and benchmark hypothetical physical theories. Through this environment, ChatGPT successfully
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Compression Performance Analysis of Different File Formats arXiv.cs.OH Pub Date : 2023-07-08 Han Yang, Guangjun Qin, Yongqing Hu
In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance of different types of file formats, and the benefits vary. In this paper, 22 file formats with approximately 178GB of data were collected and the Zlib algorithm
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Enjeux de communication dans la multirepr{é}sentation cartographique reproductible arXiv.cs.OH Pub Date : 2023-06-19 Nicolas LambertRIATE, CNRS, Timothée GiraudRIATE, CNRS, Ronan YsebaertRIATE, UPCité
This chapter deepens cartographic communication through a cartographic multirepresentation exercise. Using a single dataset on World population data, the chapter presents a series of 13 different maps to illustrate how mapping is primarily a matter of choices and methods.
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Towards Mobility Data Science (Vision Paper) arXiv.cs.OH Pub Date : 2023-06-21 Mohamed MokbelUniversity of Minnesota, Minneapolis, USA, Mahmoud SakrUniversité Libre, Brussels, Belgium, Li XiongEmory University, Atlanta, USA, Andreas ZüfleEmory University, Atlanta, USA, Jussara AlmeidaFederal University of Minas Gerais, Belo Horizonte, Brazil, Walid ArefPurdue University, West Lafayette, USA, Gennady AndrienkoFraunhofer IAIS, St. Augustin, Germany, Natalia AndrienkoFraunhofer
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning, and health sciences
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An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques arXiv.cs.OH Pub Date : 2023-06-12 Can Rong, Jingtao Ding, Yong Li
Origin-destination~(OD) flow modeling is an extensively researched subject across multiple disciplines, such as the investigation of travel demand in transportation and spatial interaction modeling in geography. However, researchers from different fields tend to employ their own unique research paradigms and lack interdisciplinary communication, preventing the cross-fertilization of knowledge and the
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Generating Private Synthetic Data with Genetic Algorithms arXiv.cs.OH Pub Date : 2023-06-05 Terrance Liu, Jingwu Tang, Giuseppe Vietri, Zhiwei Steven Wu
We study the problem of efficiently generating differentially private synthetic data that approximate the statistical properties of an underlying sensitive dataset. In recent years, there has been a growing line of work that approaches this problem using first-order optimization techniques. However, such techniques are restricted to optimizing differentiable objectives only, severely limiting the types
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From Full-fledged ERP Systems Towards Process-centric Business Process Platforms arXiv.cs.OH Pub Date : 2023-06-02 Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender
Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine
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Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study arXiv.cs.OH Pub Date : 2023-06-01 Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Giorgos Ieronymakis, Nikos Dimou, Vassilis Papaefstathiou, Jesus Labarta
Prototyping HPC systems with low-to-mid technology readiness level (TRL) systems is critical for providing feedback to hardware designers, the system software team (e.g., compiler developers), and early adopters from the scientific community. The typical approach to hardware design and HPC system prototyping often limits feedback or only allows it at a late stage. In this paper, we present a set of
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Robo Sapiens arXiv.cs.OH Pub Date : 2023-06-05 Chaim Ash, Amelia Hans
This paper proposes a new method of natural language acquisition for robots that does not require the conversion of speech to text. Folks'Talks employs voice2voice technology that enables a robot to understand the meaning of what it is told and to have the ability to learn and understand new languages - inclusive of accent, dialect, and physiological differences. To do this, sound processing and computer
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Classification of Sequential Circuits as Causal Functions arXiv.cs.OH Pub Date : 2023-05-24 Shunji Nishimura
In sequential circuits, the current output may depend on both past and current inputs. However, certain kinds of sequential circuits do not refer to all of the past inputs to generate the current output; they only refer to a subset of past inputs. This paper investigates which subset of past inputs a sequential circuit refers to, and proposes a new classification of sequential circuits based on this
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Measuring ancient technological complexity and its cognitive implications using Petri nets arXiv.cs.OH Pub Date : 2023-05-16 Sebastian Fajardo, Paul R. B. Kozowyk, Geeske H. J. Langejans
We implement a method from computer sciences to address a challenge in Paleolithic archaeology: how to infer cognition differences from material culture. Archaeological material culture is linked to cognition: more complex ancient technologies are assumed to have required complex cognition. We present an application of Petri net analysis to compare Neanderthal tar production technologies and tie the
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From Electronic Design Automation to Building Design Automation: Challenges and Opportunities arXiv.cs.OH Pub Date : 2023-05-10 Yu-Wen Lin, Tsz Ling Elaine Tang, Alberto L. Sangiovanni-Vincentelli, Stefano Schiavon, Costas J. Spanos
Design automation, which involves the use of software tools and technologies to streamline the design process, has been widely adopted in the electronics industry, resulting in significant advancements in product development and manufacturing. However, building design, which involves the creation of complex structures and systems, has traditionally lagged behind in leveraging design automation technologies
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Toward Platform-based Building Design arXiv.cs.OH Pub Date : 2023-05-11 Yu-Wen Lin, Tsz Ling Elaine Tang, Stefano Schiavon, Costas J. Spanos
The electronic design industry has undergone a significant transformation, transitioning from traditional hand-drawn designs to modern automated design processes. While Computer-Aided Design (CAD) tools emerged alongside the electronic industry, the current building design process has little to no automation. There is a need for a unified platform to address the complexity of building design and provide
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Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision arXiv.cs.OH Pub Date : 2023-05-09 Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic
Consider the problem of reducing the time needed by healthcare professionals to understand patient medical history via the next generation of biomedical decision support. This problem is societally important because it has the potential to improve healthcare quality and patient outcomes. However, it is challenging due to the high patient-doctor ratio, the potential long medical histories, the urgency
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The Standard Problem arXiv.cs.OH Pub Date : 2023-04-17 Enrico Coiera
Crafting, adhering to, and maintaining standards is an ongoing challenge. This paper uses a framework based on common models to explore the standard problem: the impossibility of creating, implementing or maintain definitive common models in an open system. The problem arises from uncertainty driven by variations in operating context, standard quality, differences in implementation, and drift over
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Manuscript of a method for improving wear in intermittently computing file systems arXiv.cs.OH Pub Date : 2023-04-11 Yeteng Liao, Han wang
For the first time, the repeated wear phenomenon of high-frequency power failure on the data block area in intermittent computing file system is found. A method to improve NVM wear in ICFS under high-frequency power failure scenarios is proposed.
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Choose Your Weapon: Survival Strategies for Depressed AI Academics arXiv.cs.OH Pub Date : 2023-03-31 Julian Togelius, Georgios N. Yannakakis
Are you an AI researcher at an academic institution? Are you anxious you are not coping with the current pace of AI advancements? Do you feel you have no (or very limited) access to the computational and human resources required for an AI research breakthrough? You are not alone; we feel the same way. A growing number of AI academics can no longer find the means and resources to compete at a global
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Modelling Maritime SAR Effective Sweep Widths for Helicopters in VDM arXiv.cs.OH Pub Date : 2023-03-29 Alexander Sulaiman, Ken Pierce
Search and Rescue (SAR) is searching for and providing help to people in danger. In the UK, SAR teams are typically charities with limited resources, and SAR missions are time critical. Search managers need to objectively decide which search assets (e.g. helicopter vs drone) would be better. A key metric in the SAR community is effective sweep width (W), which provides a single measure for a search
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CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI arXiv.cs.OH Pub Date : 2023-03-17 Edward Y. Chang
The CoCoMo model proposes a computational solution to the challenge of incorporating ethical and emotional intelligence considerations into AI systems, with the aim of creating AI agents that combine knowledge with compassion. To achieve this goal, CoCoMo prioritizes fairness, beneficence, non-maleficence, empathy, adaptability, transparency, and critical and exploratory thinking abilities. The model