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Journal articles on the topic 'GATE, Python'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

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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Heo, Junyoung, and Seukwon Kang. "Simple shooting game engine in Python." International Journal of Computational Vision and Robotics 5, no. 2 (2015): 130. http://dx.doi.org/10.1504/ijcvr.2015.068801.

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Lubis, Fetty Fitriyanti, Yusep Rosmansyah, and Suhono H. Supangkat. "Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 426. http://dx.doi.org/10.11591/ijece.v9i1.pp426-438.

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Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, resea

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Gupta, Abhishek. "A Research paper on Typing Speed Tester Game using Python & Tkinter." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3436–37. http://dx.doi.org/10.22214/ijraset.2021.35767.

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In this Python project , our goal is to build a game in which user can check and even improve typing speed. For a graphical user interface, we will be going to use the Tkinter library in Python which is used for working with graphics. A typing speed test help you to check your typing speed and improve it with regular practice. With the python project, learn to build an application using Tkinter library that can detect typing speed of user with accuracy. The project contains only the user side. It is a simple typing challenge game project. This is like a game, one-by-one random word will pop up

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Naik, Harshad. "Blackjack Game using Object Oriented Programming Methodology and Python." International Journal of Computer Applications 144, no. 7 (2016): 7–10. http://dx.doi.org/10.5120/ijca2016910409.

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Parial, Prithwish. "Python the game changer in the field of Machine Learning, Data Science and IoT: A Review." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1827–37. http://dx.doi.org/10.22214/ijraset.2021.37668.

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Abstract: Python is the finest, easily adoptable object-oriented programming language developed by Guido van Rossum, and first released on February 20, 1991 It is a powerful high-level language in the recent software world. In this paper, our discussion will be an introduction to the various Python tools applicable for Machine learning techniques, Data Science and IoT. Then describe the packages that are in demand of Data science and Machine learning communities, for example- Pandas, SciPy, TensorFlow, Theano, Matplotlib, etc. After that, we will move to show the significance of python for bui

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Rakshit Tyagi and Prof. Shreya Kapoor. "Comparing 2D game in Lua with game engine of love and in python with pygame." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 370–72. http://dx.doi.org/10.46501/ijmtst061269.

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The game flappy bird is used in the process of research .The game is used in both LUA and python programming language and the main aim of the user in game is to move forward by avoiding any contact with tunnel sprite .Also ,Flappy has to stay in air all the time without touching with ground and collects coins in between to increase the score. The game is 2D. [1]Flappy Bird is an arcade-style game in which the player controls the bird Flappy, which moves persistently to the right. The player is tasked with navigating Flappy through pairs of pipes that have equally sized gaps placed at random he

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Sideris, Grigorios, and Stelios Xinogalos. "PY-RATE ADVENTURES: A 2D Platform Serious Game for Learning the Basic Concepts of Programming With Python." Simulation & Gaming 50, no. 6 (2019): 754–70. http://dx.doi.org/10.1177/1046878119872797.

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Background. Learning programming is a cognitively demanding field of study accompanied with various difficulties. Although there is a high demand in the market for programmers, software analysts and engineers, a high dropout rate is recorded in relevant fields of study. Serious games are a promising means of engaging students in learning programming by giving them more incentives and making the process of learning programming concepts and languages more entertaining. Aim. This article introduces a new serious game called PY-RATE ADVENTURES, which aims to assist young students in their introduc

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Koupritzioti, Dimitra, and Stelios Xinogalos. "PyDiophantus maze game: Play it to learn mathematics or implement it to learn game programming in Python." Education and Information Technologies 25, no. 4 (2019): 2747–64. http://dx.doi.org/10.1007/s10639-019-10087-1.

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Mukhtar, Harun. "PERANCANGAN DAN PEMBUATAN VISUAL NOVEL SEJARAH KH. AHMAD DAHLAN SEBAGAI MEDIA PEMBELAJARAN BERBASIS ANDROID." Rabit : Jurnal Teknologi dan Sistem Informasi Univrab 3, no. 2 (2018): 69–82. http://dx.doi.org/10.36341/rabit.v3i2.444.

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KH. Ahmad Dahlan adalah salah satu tokoh penting dan juga pendiri dari Muhammadyah. Karena beliau adalah tokoh penting dalam Muhammadiyah, maka dari itu akan sangat disayangkan jika mahasiswa itu sendiri tidak mengenal siapa itu Ahmad Dahlan. Maka dari itu dibuat sebuah media yang bisa membantu Mahasiswa untuk memahami bagaimana sosok Ahmad Dahlan yaitu dengan menggunakan media game. Game yang akan digunakan adalah game dengan jenis visual novel. Visual novel terdiri dari cerita, gambar, dan suara yang bisa membantu dalam proses pembelajaran. Game ini akan dibuat menggunakan software Ren’Py un

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Bak, Maciej, and Anna Rozlach. "Moran Pycess: a Python package to simulate Moran processes driven by game theory." Journal of Open Source Software 5, no. 54 (2020): 2643. http://dx.doi.org/10.21105/joss.02643.

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Wang, Zhi, Victor Chang, and Gergely Horvath. "Explaining and Predicting Helpfulness and Funniness of Online Reviews on the Steam Platform." Journal of Global Information Management 29, no. 6 (2021): 1–23. http://dx.doi.org/10.4018/jgim.20211101.oa16.

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Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review,

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Krishnan, Surenthiran, Pritheega Magalingam, and Roslina Ibrahim. "Hybrid deep learning model using recurrent neural network and gated recurrent unit for heart disease prediction." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5467. http://dx.doi.org/10.11591/ijece.v11i6.pp5467-5476.

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<span>This paper proposes a new hybrid deep learning model for heart disease prediction using recurrent neural network (RNN) with the combination of multiple gated recurrent units (GRU), long short-term memory (LSTM) and Adam optimizer. This proposed model resulted in an outstanding accuracy of 98.6876% which is the highest in the existing model of RNN. The model was developed in Python 3.7 by integrating RNN in multiple GRU that operates in Keras and Tensorflow as the backend for deep learning process, supported by various Python libraries. The recent existing models using RNN have reac

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Donkoh, Elvis Kobina, Rebecca Davis, Emmanuel D. J. Owusu-Ansah, Emmanuel A. Antwi, and Michael Mensah. "Application of Combinatorial Techniques to the Ghanaian Board Game Zaminamina Draft." European Journal of Pure and Applied Mathematics 12, no. 1 (2019): 159–75. http://dx.doi.org/10.29020/nybg.ejpam.v12i1.3308.

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Games happen to be a part of our contemporary culture and way of life. Often mathematical models of conflict and cooperation between intelligent rational decision-makers are studied in these games. Example is the African board game ’Zaminamina draft’ which is often guided by combinatorial strategies and techniques for winning. In this paper we deduce an intelligent mathematical technique for playing a winning game. Two different starting strategies were formulated; center starting and edge or vertex starting. The results were distorted into a 3x3 matrix and elementary row operations were perfo

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Durrant, Jacob D. "BlendMol: advanced macromolecular visualization in Blender." Bioinformatics 35, no. 13 (2018): 2323–25. http://dx.doi.org/10.1093/bioinformatics/bty968.

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Abstract Summary Programs such as VMD and PyMOL are excellent tools for analyzing macromolecular structures, but they do not implement many of the advanced rendering techniques common in the film and video-game industries. In contrast, the open-source program Blender is a general-purpose tool for industry-standard rendering/visualization, but its user interface is poorly suited for rigorous scientific analysis. We present BlendMol, a Blender plugin that imports VMD or PyMOL scenes into Blender. BlendMol-generated images are well suited for use in manuscripts, outreach programs, websites and cl

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Mishra, Akshansh, and Tarushi Pathak. "Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 10, no. 1 (2020): 99–110. http://dx.doi.org/10.14201/adcaij202110199110.

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Machine learning has widely spread in the areas of pattern recognition, prediction or forecasting, cognitive game theory and in bioinformatics. In recent days, machine learning is being introduced into manufacturing and material industries for the development of new materials and simulating the manufacturing of the required products. In the recent paper, machine learning algorithm is developed by using Python programming for the determination of grain size distribution in the microstructure of stir zone seam of Friction Stir Welded magnesium AZ31B alloy plate The grain size parameters such as

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Lee, Dae-Hyun. "An Alternative Approach for Implementing Interactive Media Contents - a Case Study of Teaching Computer Game Programming using Python." CONTENTS PLUS 13, no. 1 (2015): 145–56. http://dx.doi.org/10.14728/kcp.2015.13.01.145.

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Wang, Lei, and Chang Liu. "Evolutionary Game Analysis on Government Supervision and Dairy Enterprise in the Process of Product Recall in China." International Journal of Information Systems in the Service Sector 12, no. 1 (2020): 44–66. http://dx.doi.org/10.4018/ijisss.2020010104.

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On the basis of stating recall and regulation mode, this paper analyzes long-term evolutionary trend between dairy enterprise and government supervision on bounded rationality with evolutionary game. The authors use Python matplotlib to simulate research results. Studies show that it is helpful to build a standard recall system of defect and dairy products. This system should reduce the costs of government supervision. In addition, in case of mandatory recall, it should strengthen punishment intensity of the government supervision branch on dairy enterprise, increase more losing costs of dairy

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Steinmaurer, Alexander, Johanna Pirker, and Christian Gütl. "sCool – Game-Based Learning in Computer Science Class: A Case Study in Secondary Education." International Journal of Engineering Pedagogy (iJEP) 9, no. 2 (2019): 35. http://dx.doi.org/10.3991/ijep.v9i2.9942.

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In this paper we present a case study of the mobile learning game sCool [1]. Based on previous work presented Steinmaurer et. al. (2018) [2] we expand-ed our study by a second experiment and additional aspects. sCool is a mul-ti-platform game that should encourage children learning computational thinking and coding in Python. The learning content is highly adaptable; therefore, educators can create own courses, individual for the needs of the students. These courses involve a concept-learning and a practical mode. First, the students learn a certain concept and in a second step, they have to a

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Miler, Ryszard K., Andrzej Kuriata, Anna Brzozowska, Akram Akoel, and Antonina Kalinichenko. "The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with the Use of Machine Learning." Sensors 21, no. 15 (2021): 5244. http://dx.doi.org/10.3390/s21155244.

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Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones’ steering capacity and cognitive gap related to the lack of theoretical foundation for controlling algorithms. The aim of this paper is to present a game-based algorithm of controlling behaviours in the relation between an operator (OP) and a technical object (TO), based on the assumption that the game is logistics-oriented and the algorithm is to support ML applied in e-commerce optimizati

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Guo, Hangxin, Zheng Liu, Bin Hu, Huidan Lin, Lihua Shi, and Cuicui Meng. "Pricing and Coordination Mechanism of Supply Chain considering Product Recycling under Asymmetric Power." Mathematical Problems in Engineering 2021 (March 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/5579655.

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The concept of “green supply chain” puts forward new requirements for the recycling management of waste products. The waste electronic products are taken as the research object, and a two-stage closed-loop supply chain composed of a manufacturer, a retailer, and consumers is considered in this paper. By constructing a Stackelberg game model, the pricing strategy and profit distribution of the supply chain under different decision modes considering asymmetric powers are studied. Finally, Python is used for simulation. The results show that the gross profit of supply chain under decentralized de

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Yegoshyna, G. A., S. M. Voronoy, and A. A. Ovdieichuk. "LEARNING SYSTEM DESIGN FOR GAME APPLICATIONS." Proceedings of the O.S. Popov ОNAT 1, no. 2 (2020): 82–91. http://dx.doi.org/10.33243/2518-7139-2020-1-2-82-91.

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The presented paper investigates the problem of designing a learning system for agents in intelligent game applications based on Unity Game Engine and reinforcement machine learning algorithms. Modern trends in the game applications development are characterized by the active using of the concept of an intelligent agent as a behavior model of an active element in various situations with applying various strategies for interactions with other active elements and the environment. In recent years, there have been a significant number of advances in this area, such as DeepMind and the Deep Q learn

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Bandyopadhyay, Anjan, Vikash Kumar Singh, Sajal Mukhopadhyay, Ujjwal Rai, Fatos Xhafa, and Paul Krause. "Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective." Sensors 20, no. 23 (2020): 6761. http://dx.doi.org/10.3390/s20236761.

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In the Internet of Things (IoT) + Fog + Cloud architecture, with the unprecedented growth of IoT devices, one of the challenging issues that needs to be tackled is to allocate Fog service providers (FSPs) to IoT devices, especially in a game-theoretic environment. Here, the issue of allocation of FSPs to the IoT devices is sifted with game-theoretic idea so that utility maximizing agents may be benign. In this scenario, we have multiple IoT devices and multiple FSPs, and the IoT devices give preference ordering over the subset of FSPs. Given such a scenario, the goal is to allocate at most one

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Su, Yi, Wen Guo, and Zaoli Yang. "Reverse Knowledge Transfer in Cross-Border Mergers and Acquisitions in the Chinese High-Tech Industry under Government Intervention." Complexity 2021 (January 4, 2021): 1–18. http://dx.doi.org/10.1155/2021/8881989.

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The high-tech industry is the main force promoting the development of China’s national economy. As its industrial economic strength grows, China’s high-tech industry is increasingly using cross-border mergers and acquisitions (CBM&A) as an important way to “go out.” To explore the rules governing the process and operation mechanism of reverse knowledge transfer (RKT) through the CBM&A of China’s high-tech industry under government intervention, a tripartite evolutionary game model of the government, the parent company, and the subsidiary as the main subjects is constructed in this pape

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Song, Yuhang, Andrzej Wojcicki, Thomas Lukasiewicz, et al. "Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7253–60. http://dx.doi.org/10.1609/aaai.v34i05.6216.

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Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent learning, where agents act as the environment for each other, and improving each agent means proposing new problems for others. However, existing evaluation platforms are either not compatible with multi-agent settings, or limited to a specific game. That is, there is not yet a general evaluation platform for research on multi-agent intelligence. To this end, we introduce Arena, a general evaluation platform for multi-a

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Donnelly, Jim. "Giving Away the Game – Scattershot Notes on Social Class and Other Afflictions." Journal of Working-Class Studies 6, no. 1 (2021): 89–98. http://dx.doi.org/10.13001/jwcs.v6i1.6443.

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One of my earliest jobs was driving for an unregulated car service in New York. In the days before Uber they were called ‘gypsy cabs.’ One night I found myself on the business end of a revolver. Telling the tale to my dispatcher next day, he was staggeringly nonplussed. ‘Ya gotta put up with a lot,’ he said, ‘when you’re tryin’ t’ get ahead.’ ‘Yeah,’ I replied, disgusted, ‘even gettin’ your head blown off.’ Some time later, another driver, an African-American in a similar scenario, didn’t make it, emphasizing how much higher the stakes for a person of color. These are the real wages of work, I

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Garrison, Stephanie, and Claire Wallace. "Media Tourism and Its Role in Sustaining Scotland’s Tourism Industry." Sustainability 13, no. 11 (2021): 6305. http://dx.doi.org/10.3390/su13116305.

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Popular media, including films, television, comics, videogames, and books, are an increasingly important aspect of contemporary tourism. This is especially the case in Scotland, where popular culture led to the development of Scotland’s tourism industry. In this article, we will describe the phenomenon of media-related tourism in Scotland with respect to three selected case studies within Scotland: First, Glenfinnan Viaduct, made famous by the Harry Potter film series; Second, Doune Castle, used as a set for Monty Python, Game of Thrones and more recently, Outlander; Third, Abbotsford, home of

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Ulrich, Thomas A., Ronald L. Boring, Timothy McJunkin, and Aunshul Rege. "A visualization approach to performing task analysis of time series event log data from a microworld simulation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1867–71. http://dx.doi.org/10.1177/1071181319631534.

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This paper presents a novel visualization technique to perform a task analysis using only information from data logs collected from users interacting with the system. Traditional task analysis includes data acquired from system specifications, observations of the user interacting with the system, and interviews with the user. There are however situations, in which this information is not available such as forensic investigations. In situations in which these other data sources are available, the visualization approach provides an additional tool the analysist can use to further their understan

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Yun, Heuijee, and Daejin Park. "Virtualization of Self-Driving Algorithms by Interoperating Embedded Controllers on a Game Engine for a Digital Twining Autonomous Vehicle." Electronics 10, no. 17 (2021): 2102. http://dx.doi.org/10.3390/electronics10172102.

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Computer simulation based on digital twin is an essential process when designing self-driving cars. However, designing a simulation program that is exactly equivalent to real phenomena can be arduous and cost-ineffective because too many things must be implemented. In this paper, we propose the method using the online game GTA5 (Grand Theft Auto5), as a groundwork for autonomous vehicle simulation. As GTA5 has a variety of well-implemented objects, people, and roads, it can be considered a suitable tool for simulation. By using OpenCV (Open source computer vision) to capture the GTA5 game scre

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Kroustalli, Chrysoula, and Stelios Xinogalos. "Studying the effects of teaching programming to lower secondary school students with a serious game: a case study with Python and CodeCombat." Education and Information Technologies 26, no. 5 (2021): 6069–95. http://dx.doi.org/10.1007/s10639-021-10596-y.

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Waithe, Dominic, Mathias P. Clausen, Erdinc Sezgin, and Christian Eggeling. "FoCuS-point: software for STED fluorescence correlation and time-gated single photon counting." Bioinformatics 32, no. 6 (2015): 958–60. http://dx.doi.org/10.1093/bioinformatics/btv687.

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Abstract Motivation: Fluorescence Correlation Spectroscopy (FCS) is a popular tool for measuring molecular mobility and how mobility relates to molecular interaction dynamics and bioactivity in living cells. The FCS technique has been significantly advanced by its combination with super-resolution STED microscopy (STED-FCS). Specifically, the use of gated detection has shown great potential for enhancing STED-FCS, but has also created a demand for software which is efficient and also implements the latest algorithms. Prior to this study, no open software has been available which would allow pr

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MF Amin, R., R. FA Yasmin, A. N. Azlina, AB Zanariah, and Y. Faridah. "Intelligent home automated system." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (2019): 733. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp733-742.

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<p>Home automation system is one of the intelligent systems meant to create new opportunities for industry and business, as well as new experiences for users and consumers. This project is about designing, developing and testing a web-based intelligent home automation system called i-Home. The main users will be residents in any residential area i.e. gated community, terrace housing area, condominium and others. Its function is to ease residents in controlling the lights, fans, air conditioning, the house temperature and monitoring their CCTVs through online. For the hardware component R

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Gu, Bonwoo, and Yunsick Sung. "Enhanced Reinforcement Learning Method Combining One-Hot Encoding-Based Vectors for CNN-Based Alternative High-Level Decisions." Applied Sciences 11, no. 3 (2021): 1291. http://dx.doi.org/10.3390/app11031291.

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Gomoku is a two-player board game that originated in ancient China. There are various cases of developing Gomoku using artificial intelligence, such as a genetic algorithm and a tree search algorithm. Alpha-Gomoku, Gomoku AI built with Alpha-Go’s algorithm, defines all possible situations in the Gomoku board using Monte-Carlo tree search (MCTS), and minimizes the probability of learning other correct answers in the duplicated Gomoku board situation. However, in the tree search algorithm, the accuracy drops, because the classification criteria are manually set. In this paper, we propose an impr

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Ivan, Jeremias, Rizky Nurdiansyah, and Arli Aditya Parikesit. "Mathematical Problem Solving: One Way to Prevent Dementia." Frontiers in Health Informatics 8, no. 1 (2019): 10. http://dx.doi.org/10.30699/fhi.v8i1.179.

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Introduction:Dementia is a common medical condition of older people which is marked by the decline of multiple cognitive abilities, such as memory and communication. Currently, there is no effective treatment for curing dementia, making prevention the most priority to this disease. Previous studies showed that cognitive ability training, such as mathematical problem solving, has a potential to slow down cognitive decline. The aim of this project is to create a simple yet interactive mathematical quiz as a way to train one’ cognitive ability and reduce the risk of getting dementia.Material and

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Su, Yumin, Jianfeng Lin, Dagang Zhao, Chunyu Guo, Chao Wang, and Hang Guo. "Real-Time Prediction of Large-Scale Ship Model Vertical Acceleration Based on Recurrent Neural Network." Journal of Marine Science and Engineering 8, no. 10 (2020): 777. http://dx.doi.org/10.3390/jmse8100777.

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In marine environments, ships are bound to be disturbed by several external factors, which can cause stochastic fluctuations and strong nonlinearity in the ship motion. Predicting ship motion is pivotal to ensuring ship safety and providing early warning of risks. This report proposes a real-time ship vertical acceleration prediction algorithm based on the long short-term memory (LSTM) and gated recurrent units (GRU) models of a recurrent neural network. The vertical acceleration time history data at the bow, middle, and stern of a large-scale ship model were obtained by performing a self-prop

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Guntuboina, Chakradhar, Aditya Porwal, Preet Jain, and Hansa Shingrakhia. "Video Summarization for Multiple Sports Using Deep Learning." ELCVIA Electronic Letters on Computer Vision and Image Analysis 20, no. 1 (2021): 99–116. http://dx.doi.org/10.5565/rev/elcvia.1286.

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This paper proposes a computationally inexpensive method for automatic key-event extraction and subsequent summarization of sports videos using scoreboard detection. A database consisting of 1300 images was used to train a supervised-learning based object detection algorithm, YOLO (You Only Look Once). Then, for each frame of the video, once the scoreboard was detected using YOLO, the scoreboard was cropped out of the image. After this, image processing techniques were applied on the cropped scoreboard to reduce noise and false positives. Finally, the processed image was passed through an OCR

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Halim, Zulkifli, Shuhaida Mohamed Shuhidan, and Zuraidah Mohd Sanusi. "Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia." Business Process Management Journal 27, no. 4 (2021): 1163–78. http://dx.doi.org/10.1108/bpmj-06-2020-0273.

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PurposeIn the previous study of financial distress prediction, deep learning techniques performed better than traditional techniques over time-series data. This study investigates the performance of deep learning models: recurrent neural network, long short-term memory and gated recurrent unit for the financial distress prediction among the Malaysian public listed corporation over the time-series data. This study also compares the performance of logistic regression, support vector machine, neural network, decision tree and the deep learning models on single-year data.Design/methodology/approac

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Zheng, Junjun, Mingyuan Xu, Ming Cai, Zhichao Wang, and Mingmiao Yang. "Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China." International Journal of Environmental Research and Public Health 16, no. 18 (2019): 3349. http://dx.doi.org/10.3390/ijerph16183349.

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In real life, garbage has caused great pollution to the environment. A garbage classification system is an effective way to manage this issue, and is an innovation in Shanghai, China. Innovation diffusion is the topic of this paper. This study uses a mathematical statistics method to formulate individual bounded rationality, and uses the specific graph structure of a scale-free network to characterize group structure. Then, a model of group behavior is constructed and the simulation experiment is run on the Python platform. The results show that: (1) In the case of general cognitive ability an

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Lakhno, Valerii, Berik Akhmetov, Borys Husiev, Andrii Blozva, Dmytro Kasatkin, and Tetiana Osypova. "PROCEDURES FOR INVESTMENT IN CYBER SECURITY, TAKING INTO ACCOUNT MULTIFACTORITY AND FUZZY STATEMENT." Cybersecurity: Education, Science, Technique 3, no. 11 (2021): 6–15. http://dx.doi.org/10.28925/2663-4023.2021.11.615.

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It is shown that the application of multi-step quality games theory allows financing of various information technologies considering various factors. In particular, there are lots of approaches to building effective information security systems in the enterprise. Using such model will make it possible to develop, based on game models, decision support systems (DSS), for example, software products (PP). Which, in turn, will allow making rational decisions on investing in the development of such technologies. This circumstance makes it necessary and relevant to develop new models and software pr

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Дорофеева, Ю. А., and П. Д. Ермолаев. "REVIEW, Classification AND VISUALISATION of opinion dynamics IN SOCIAL COMMUNITIES." Южно-Сибирский научный вестник, no. 4(38) (August 31, 2021): 56–61. http://dx.doi.org/10.25699/sssb.2021.38.4.009.

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В теории игр существует множество различных динамик мнений для социальных сообществ. Процессы обмена мнениями, формирование и изменение как коллективного, так и индивидуального мнений напрямую зависят от вида социального сообщества, условий взаимодействия всех участников, возможности достижения консенсуса, вида взаимосвязи между каждым из членов коллектива и других факторов. Каждая из закономерностей имеет определенные характеристики, некоторые из которых являются обобщающими. Важной задачей является численное моделирование с визуализацией процесса изменения мнений. Это позволит анализировать

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Apaydin, Halit, Hajar Feizi, Mohammad Taghi Sattari, Muslume Sevba Colak, Shahaboddin Shamshirband, and Kwok-Wing Chau. "Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting." Water 12, no. 5 (2020): 1500. http://dx.doi.org/10.3390/w12051500.

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Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas, is essential for the optimal and timely use of surface water resources. In this research, daily streamflow to the Ermenek hydroelectric dam reservoir located in Turkey is simulated using deep recurrent neural network (RNN) architectures, including bidirectional long short-term memory (Bi-LSTM), gated recurrent unit (GRU), long short-term memory (LSTM), and simple recurrent neural networks (simple RNN). For

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