Relevant bibliographies by topics / GATE, Python

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'GATE, Python'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "GATE, Python"

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Malhotra, Kritika, and Amit Prakash Singh. "Implementation of decision tree algorithm on FPGA devices." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (2021): 131. http://dx.doi.org/10.11591/ijai.v10.i1.pp131-138.

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<span id="docs-internal-guid-01e673b1-7fff-8dc3-6b99-14ed17cd6b49"><span>Machine learning techniques are rapidly emerging in large number of fields from robotics to computer vision to finance and biology. One important step of machine learning is classification which is the process of finding out to which category a new encountered observation belongs based on predefined categories. There are various existing solutions to classification and one of them is decision tree classification (DTC) which can achieve high accuracy while handling the large datasets. But DTC is computationally
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Holik, Martin, Tomas Horvath, Vaclav Oujezsky, Petr Munster, Adrian Tomasov, and Sobeslav Valach. "MongoDB Database as Storage for GPON Frames." Sensors 20, no. 21 (2020): 6208. http://dx.doi.org/10.3390/s20216208.

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This work is focused on creating an open-source software-based solution for monitoring traffic transmitted through gigabit passive optical network. In this case, the data are captured by the field-programmable gate array (FPGA) card and reassembled using parsing software from a passive optical network built on the International Telecommunication Unit telecommunication section (ITU-T) G.984 gigabit-capable passive optical network GPON recommendation. Then, the captured frames are converted by suitable software into GPON frames, which will be further processed for analysis. Due to the high trans
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Bhat K, Mahesh, and Namita Palecha. "Implementation of a Parallel Fault Simulation System using PODEM in a Hardware Accelerator using Python." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 530–36. http://dx.doi.org/10.51201/jusst/21/05296.

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VLSI Testing is one of the essential domains in recent times. With the channel length of the transistor decreasing continually, the number of transistors in a chip increases, thus increasing the probability of defects or faults. Automatic Test Pattern Generator is one way to find such input test vectors to the circuit, which will help identify the faults if present. PODEM algorithm is one such algorithm used in this regard. This paper helps in reducing the runtime of this algorithm by the parallelism approach. Different stuck-at faults in the gate level circuit are simulated parallelly.
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Steiger, Damian S., Thomas Häner, and Matthias Troyer. "ProjectQ: an open source software framework for quantum computing." Quantum 2 (January 31, 2018): 49. http://dx.doi.org/10.22331/q-2018-01-31-49.

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We introduce ProjectQ, an open source software effort for quantum computing. The first release features a compiler framework capable of targeting various types of hardware, a high-performance simulator with emulation capabilities, and compiler plug-ins for circuit drawing and resource estimation. We introduce our Python-embedded domain-specific language, present the features, and provide example implementations for quantum algorithms. The framework allows testing of quantum algorithms through simulation and enables running them on actual quantum hardware using a back-end connecting to the IBM
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Sanngoen, Wanayuth, Watcharin Po-Ngaen, Chirot Charitkhuan, and Kitsada Doungjitjaroen. "Development of Parallel Delta Robot System Controller Based on Raspberry Pi and FPGA." Applied Mechanics and Materials 835 (May 2016): 698–704. http://dx.doi.org/10.4028/www.scientific.net/amm.835.698.

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This paper presents a system control design on 2 axes “Delta Industrial Robot”. The control system utilizes both the embedded technology and the “Raspberry Pi" which is a low power consumption PC with open source operating system. The user can communicate with the PC and FPGA (Field Programmable Gate Array) via the system GUI interface. The FPGA acts as dedicated hardware to provide both the efficiency and flexibility for the closed-loop servo control system.To calculate all related kinematics equations for the robot, look up table approach has been implemented to reduce the calculation comple
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Bocci, Andrea, David Dagenhart, Vincenzo Innocente, et al. "Bringing heterogeneity to the CMS software framework." EPJ Web of Conferences 245 (2020): 05009. http://dx.doi.org/10.1051/epjconf/202024505009.

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The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or Field-Programmable Gate Arrays (FPGA), for use cases like the CMS High-Level Trigger (HLT) or data processing at leadership-class supercomputers imposes challenges for the current data processing frameworks. These challenges include developing a model for algorithms to offload their computations on the co-processors as well as keeping the traditional CPU busy doing other work. The CMS data processing framework, CMSSW, implements multithreading using the Intel Threading Building Blocks (TBB) lib
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Shinde, Piyush N. "Pygame: Develop Games using Python." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 4442–47. http://dx.doi.org/10.22214/ijraset.2021.35735.

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In this paper, we will present the process of creating a simple game(Dracula) made in Python. For the purposes of this work, we created the game Dracula using the Pygame package. The aim of this paper is to show the process of creating a game, i.e the gradual construction of each element of the game. The game was created in several phases, and we will describe and explain each in detail. We will start from the construction of the basic skeleton of the game, that is. a graphical representation of the background image window. We will gradually introduce and add new elements (heroes, enemies, bul
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Glynatsi, Nikoleta, and Vincent Knight. "Game Theory and Python: An educational tutorial to game theory and repeated games using Python." Journal of Open Source Education 4, no. 39 (2021): 78. http://dx.doi.org/10.21105/jose.00078.

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Bandura, K., A. N. Bender, J. F. Cliche, et al. "ICE: A Scalable, Low-Cost FPGA-Based Telescope Signal Processing and Networking System." Journal of Astronomical Instrumentation 05, no. 04 (2016): 1641005. http://dx.doi.org/10.1142/s2251171716410051.

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We present an overview of the ‘ICE’ hardware and software framework that implements large arrays of interconnected field-programmable gate array (FPGA)-based data acquisition, signal processing and networking nodes economically. The system was conceived for application to radio, millimeter and sub-millimeter telescope readout systems that have requirements beyond typical off-the-shelf processing systems, such as careful control of interference signals produced by the digital electronics, and clocking of all elements in the system from a single precise observatory-derived oscillator. A new gene
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ABBAS, Yasir M. O., and Kenichi Asami. "Design of Software-Defined Radio-Based Adaptable Packet Communication System for Small Satellites." Aerospace 8, no. 6 (2021): 159. http://dx.doi.org/10.3390/aerospace8060159.

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Software-defined radio (SDR) devices have made a massive contribution to communication systems by reducing the cost and development time for radio frequency (RF) designs. SDRs opened the gate to programmers and enabled them to increase the capabilities of these easily manipulated systems. The next step is to upgrade the reconfigurability into adaptability, which is the focus of this paper. This research contributes to improving SDR-based systems by designing an adaptable packet communication transmitter and receiver that can utilize the communication window of CubeSats and small satellites. Ac
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Dissertations / Theses on the topic "GATE, Python"

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Vieira, Igor Fagner. "Desenvolvimento de um software para modelagem de tomógrafos por emissão de pósitrons." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/10121.

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Submitted by Amanda Silva (amanda.osilva2@ufpe.br) on 2015-03-03T13:37:46Z No. of bitstreams: 2 Dissertacao Igor Fagner Vieira.pdf: 11971580 bytes, checksum: 9b20669e6b9542d3990f183c304ff233 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-03T13:37:46Z (GMT). No. of bitstreams: 2 Dissertacao Igor Fagner Vieira.pdf: 11971580 bytes, checksum: 9b20669e6b9542d3990f183c304ff233 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013<br>CRCN-NE,CNEN e FACEPE<br>Há uma tendência c
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Johnsen, Andreas Lyngstad, and Georgy Ushakov. "[Lecture Games] Python programming game." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13582.

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Pythia is a programming game that allows the player to change pieces of theirenvironment through use of the programming language Python. The idea is that thegame could be used as a part of teaching simple programming to &amp;#64257;rst year universitystudents. The game should be fun enough for the students to keep playing, teachenough for it to earn a place as a teaching tool, and it should be usable by allstudents. It should also be possible for a teacher to create their own content for thegame.Pythia was implemented by extending the Python-interpreter Jython and building a game around it. Th
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Laskemoen, Kristian. "Pyception : Teaching Python with a Serious Game." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23906.

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This thesis set out to study how an online serious game could affect users? motivation on learning Python. One of the projects core goals is to find out whether learning Python is more motivating when having an effortless start through a web based game. A second goal is to find out if Python as a programming language are well suited for a serious game.After the development and implementation of the game, it was performed a user experiment in order to receive feedback. Data from this user experiment were collected in a questionnaire and the results regarding usability were collected in a System
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Pelini, Nicholas Michael. "Netlist Security Algorithm Acceleration Using OpenCL on FPGAs." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1501861339318045.

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Kovařík, Viktor. "IoT systém pro domácnost." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417285.

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The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and
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Gardini, Lorenzo. "Studio e Sperimentazione di Algoritmi di Reinforcement Learning Applicati a Video Game." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21847/.

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Nella prima parte del mio lavoro viene presentato uno studio di una prima soluzione "from scratch" sviluppata da Andrew Karpathy. Seguono due miei miglioramenti: il primo modificando direttamente il codice della precedente soluzione e introducendo, come obbiettivo aggiuntivo per la rete nelle prime fasi di gioco, l'intercettazione della pallina da parte della racchetta, migliorando l'addestramento iniziale; il secondo é una mia personale implementazione utilizzando algoritmi più complessi, che sono allo stato dell'arte su giochi dell'Atari, e che portano un addestramento molto più veloce della
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Veselá, Cindy. "Terapeutická hra pro měření reakční doby s využitím platformy BITalino." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413174.

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This master’s thesis focuses on real-time detection of activity in electromyographic signal for reaction time measurement. For patients motivation there was designed and implemented therapeutic car game controlled throught the muscle activity. In this thesis were used three different algorithms for muscles activity detection in EMG signal. The best accuracy of this three methods has designed artificial network with U-Net hierarchy, which is used to segment samples into two categories - samples of signal with activity and samples representing calm. Accuracy of this method is 97 %. Later there w
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Orazi, Gabriele. "Progettazione e sviluppo di un bot automatico per giochi di strategia su device mobili." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15430/.

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In questa tesi viene discussa l'implementazione di un bot automatico in grado di interfacciarsi ad un device mobile, al fine di controllare autonomamente le fasi di battaglia di un gioco strategico. Il dispositivo in questione viene interamente controllato da un calcolatore esterno tramite l'invio di segnali atti ad emulare in tutto e per tutto quelli di un giocatore reale che sfiora lo schermo touchscreen del device. Inoltre è stata progettata una prima rete neurale con l'intento di riuscire ad ottimizzare le strategie di attacco del bot.
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Jileček, Jan. "Analýza a klasifikace dat ze snímače mozkové aktivity." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403817.

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This thesis aims to implement methods for recording EEG data obtained with the neural activity sensor OpenBCI Ultracortex IV headset. It also describes neurofeedback, methods of obtaining data from the motor cortex for further analysis and takes a look at the machine learning algorithms best suited for the presented problem. Multiple training and testing datasets are created, as well as a tool for recording the brain activity of a headset-wearing test subject, which is being visually presented with cognitive challenges on the screen in front of him. A neurofeedback demo app has been developed,
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Talevi, Luca, and Luca Talevi. "“Decodifica di intenzioni di movimento dalla corteccia parietale posteriore di macaco attraverso il paradigma Deep Learning”." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17846/.

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Le Brain Computer Interfaces (BCI) invasive permettono di restituire la mobilità a pazienti che hanno perso il controllo degli arti: ciò avviene attraverso la decodifica di segnali bioelettrici prelevati da aree corticali di interesse al fine di guidare un arto prostetico. La decodifica dei segnali neurali è quindi un punto critico nelle BCI, richiedendo lo sviluppo di algoritmi performanti, affidabili e robusti. Tali requisiti sono soddisfatti in numerosi campi dalle Deep Neural Networks, algoritmi adattivi le cui performance scalano con la quantità di dati forniti, allineandosi con il cresc
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Books on the topic "GATE, Python"

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Kelly, Sloan. Python, PyGame and Raspberry Pi Game Development. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2517-2.

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Kelly, Sloan. Python, PyGame, and Raspberry Pi Game Development. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4533-0.

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Koivunen-Niemi, Laura. Learn to Create a Waterfall Chart Using Python With Data From Bill and Melinda Gates Foundation (2020). SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529777680.

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Ahlquist, John. Game development essentials: Game artificial intelligence. Thomson/Delmar Learning, 2008.

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Game Development Using Python. Mercury Learning & Information, 2019.

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Riley, Sean. Game Programming With Python (Game Development Series). Charles River Media, 2003.

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Game Programming with Python, Lua, and Ruby (Game Development). Course Technology PTR, 2003.

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Kelly, Sloan. Python, PyGame and Raspberry Pi Game Development. Apress, 2016.

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Kelly, Sloan. Python, PyGame, and Raspberry Pi Game Development. Apress, 2019.

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Beginning Game Development with Python and Pygame. Apress, 2007. http://dx.doi.org/10.1007/978-1-4302-0325-4.

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Book chapters on the topic "GATE, Python"

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Kelly, Sloan. "Introducing Python." In Python, PyGame and Raspberry Pi Game Development. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2517-2_3.

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Kelly, Sloan. "Introducing Python." In Python, PyGame, and Raspberry Pi Game Development. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4533-0_3.

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Kelly, Sloan. "What Is Python?" In Python, PyGame and Raspberry Pi Game Development. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2517-2_2.

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Kelly, Sloan. "What Is Python?" In Python, PyGame, and Raspberry Pi Game Development. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4533-0_2.

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Watkiss, Stewart. "Getting Started with Python." In Beginning Game Programming with Pygame Zero. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5650-3_2.

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Hetland, Magnus Lie. "Project 10: Do-It-Yourself Arcade Game." In Beginning Python. Apress, 2008. http://dx.doi.org/10.1007/978-1-4302-0634-7_29.

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Hetland, Magnus Lie. "Project 10: Do-It-Yourself Arcade Game." In Beginning Python. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-0028-5_29.

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Kinsley, Harrison, and Will McGugan. "Game Object Reference." In Beginning Python Games Development. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0970-7_13.

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Kinsley, Harrison, and Will McGugan. "Packaging Your Game." In Beginning Python Games Development. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0970-7_14.

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Elumalai, Aarthi. "Project: Snake Game with Turtle." In Introduction to Python for Kids. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6812-4_19.

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Conference papers on the topic "GATE, Python"

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Huang, Sitao, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, and Wen-mei Hwu. "PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow." In FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. ACM, 2021. http://dx.doi.org/10.1145/3431920.3439478.

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Giounanlis, Panagiotis, Elena Blokhina, Imran Bashir, Dirk Leipold, Mike Asker, and Robert Bogdan Staszewski. "A Python-Verilog Toolbox for Modeling of a Hadamard Gate Based on Position-Based CMOS Qubits." In 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2019. http://dx.doi.org/10.1109/icecs46596.2019.8965149.

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Wang, Hong, and Sio-Iong Ao. "Teaching CS1 with Python GUI Game Programming." In IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES: Volume 4: Special Edition of the World Congress on Engineering and Computer Science-2009. AIP, 2010. http://dx.doi.org/10.1063/1.3460234.

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Huang, Li-Wen, Li-Wei Chen, and Po-Hsun Cheng. "Board Game Design for Python Programming Education." In 2019 IEEE International Conference on Engineering, Technology and Education (TALE). IEEE, 2019. http://dx.doi.org/10.1109/tale48000.2019.9225988.

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Huang, Li-Wen, Po-Hsun Cheng, and Li-Wei Chen. "Web-based Board Game for Learning Python." In 2021 IEEE World Conference on Engineering Education (EDUNINE). IEEE, 2021. http://dx.doi.org/10.1109/edunine51952.2021.9429144.

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Augusto Ueno Otto, Vítor, Alisson Reinaldo Flores, Manuela Helena Weidmann, et al. "Apresentação das Mecânicas de um Jogo Desenvolvido com Arcade." In Computer on the Beach. Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p600-603.

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The purpose of this paper is to describe the mechanics and logic ofBombanimal’s creation, a game inspired by the classic Bombermanand created using the Python programming language combinedwith the 2D game development library Arcade. The game has uniquefeatures such as the skills of the characters and its visual theme.As such, the paper discusses how the game was implemented andwhat Arcade classes, methods, and features were used, in order toencourage other programmers to use Arcade on their own games.
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Madrid S., A. "Implementation of quantum game theory simulations using Python." In SPIE Defense, Security, and Sensing, edited by Eric Donkor, Andrew R. Pirich, and Howard E. Brandt. SPIE, 2013. http://dx.doi.org/10.1117/12.2015266.

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Aycock, John, Etienne Pitout, and Sarah Storteboom. "A Game Engine in Pure Python for CS1." In ITICSE '15: Innovation and Technology in Computer Science Education Conference 2015. ACM, 2015. http://dx.doi.org/10.1145/2729094.2742590.

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Theethum, Thirada, Attawut Arpornrat, and Sirion Vittayakorn. "Thinkercise: An educational VR game for Python programming." In 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2021. http://dx.doi.org/10.1109/ecti-con51831.2021.9454730.

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D. Yang, Cheer-Sun, and Jonathan W. Yu. "Using Incremental Worked Examples for Teaching Python and Game Programming Teaching Python with Tkinter and Pygame Modules." In Annual International Conferences on Computer Science Education: Innovation and Technology. Global Science & Technology Forum (GSTF), 2011. http://dx.doi.org/10.5176/2251-2195_cseit11.

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