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Journal articles on the topic 'Real-time system (RTS)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Di, Mingwei, Anmin Zhang, Bofeng Guo, Jiali Zhang, Rongxia Liu, and Mengyuan Li. "Evaluation of Real-Time PPP-Based Tide Measurement Using IGS Real-Time Service." Sensors 20, no. 10 (2020): 2968. http://dx.doi.org/10.3390/s20102968.

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Tide data plays a key role in many marine scientific research fields such as seafloor topography measurement and navigation safety. To obtain reliable tide data, various methods have been proposed, e.g., tide station measurement, satellite altimeter measurement, and differential global positioning system (GPS) buoy measurement. However, these methods suffer from the limitation that continuous observations at different areas might not be always available. In order to provide high-precision as well as continuous real-time tide data, we propose a method based on real-time precise point positionin

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2

Abdelazeem, Mohamed, Rahmi N. Çelik, and Ahmed El-Rabbany. "An Enhanced Real-Time Regional Ionospheric Model Using IGS Real-Time Service (IGS-RTS) Products." Journal of Navigation 69, no. 3 (2015): 521–30. http://dx.doi.org/10.1017/s0373463315000740.

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Recently, the International Global Navigation Satellite System (GNSS) Service (IGS) has launched the Real-Time Service (IGS-RTS). The RTS products enable real-time precise positioning applications. For single-frequency Real-Time Precise Point Positioning (RT-PPP), ionospheric delay mitigation is a major challenge. To overcome this challenge, we developed a Real-Time Regional Ionospheric Model (RT-RIM) over Europe using the RTS satellite orbits and clock products. The model has spatial and temporal resolution of 1° × 1° and 15 minutes, respectively. Global Positioning System (GPS) observations

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3

Yang, Cheng-Ta, Her-Tyan Yeh, Bing-Chang Chen, and Guo-Xiang Jian. "Automatic tunable deployment for real-time strategy games." Engineering Computations 34, no. 2 (2017): 239–50. http://dx.doi.org/10.1108/ec-08-2015-0251.

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Purpose Extensive efforts have been conducted on the real-time strategy (RTS) games. The purpose of this paper is the specific artificial intelligence (AI) challenges posed by RTS games; non-player character (NPC) is started out by collecting game-map resources to build up defenses and attack forces, to upgrade combat deployment. Design/methodology/approach The authors used weak AI fuzzy theory as the foundation for tunable development. With the fuzzy theory, the AI was more humanistic in its judgment process. Findings Well-developed AIs have been used brilliantly in various aspects in RTS gam

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4

Mariño, Julian R. H., Rubens O. Moraes, Tassiana C. Oliveira, Claudio Toledo, and Levi H. S. Lelis. "Programmatic Strategies for Real-Time Strategy Games." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (2021): 381–89. http://dx.doi.org/10.1609/aaai.v35i1.16114.

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Search-based systems have shown to be effective for planning in zero-sum games. However, search-based approaches have important disadvantages. First, the decisions of search algorithms are mostly non-interpretable, which is problematic in domains where predictability and trust are desired such as commercial games. Second, the computational complexity of search-based algorithms might limit their applicability, especially in contexts where resources are shared among other tasks such as graphic rendering. In this work we introduce a system for synthesizing programmatic strategies for a real-time

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5

Jovanovic, Bojan, and Milun Jevtic. "FPGA implementation of a hybrid on-line process monitoring in PC based real-time systems." Serbian Journal of Electrical Engineering 8, no. 1 (2011): 37–51. http://dx.doi.org/10.2298/sjee1101037j.

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This paper presents one way of FPGA implementation of hybrid (hardware-software based) on-line process monitoring in Real-Time systems (RTS). The reasons for RTS monitoring are presented at the beginning. The summary of different RTS monitoring approaches along with its advantages and drawbacks are also exposed. Finally, monitoring module is described in details. Also, FPGA implementation results and some useful monitoring system applications are mentioned.

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El-Diasty, M. "INTEGRITY ANALYSIS OF REAL-TIME PPP TECHNIQUE WITH IGS-RTS SERVICE FOR MARITIME NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W5 (October 5, 2017): 61–66. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w5-61-2017.

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Open sea and inland waterways are the most widely used mode for transporting goods worldwide. It is the International Maritime Organization (IMO) that defines the requirements for position fixing equipment for a worldwide radio-navigation system, in terms of accuracy, integrity, continuity, availability and coverage for the various phases of navigation. Satellite positioning systems can contribute to meet these requirements, as well as optimize marine transportation. Marine navigation usually consists of three major phases identified as Ocean/Coastal/Port approach/Inland waterway, in port navi

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Zagan, Ionel, and Vasile Gheorghiţă Găitan. "Soft-core processor integration based on different instruction set architectures and field programmable gate array custom datapath implementation." PeerJ Computer Science 9 (April 18, 2023): e1300. http://dx.doi.org/10.7717/peerj-cs.1300.

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One of the fundamental requirements of a real-time system (RTS) is the need to guarantee re-al-time determinism for critical tasks. Task execution rates, operating system (OS) overhead, and task context switching times are just a few of the parameters that can cause jitter and missed deadlines in RTS with soft schedulers. Control systems that are susceptible to jitter can be used in the control of HARD RTS as long as the cumulative value of periodicity deviation and worst-case response time is less than the response time required by that application. This artcle presents field-programmable gat

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Stanko, Petro, Olena Ohremchuk, Daria Salamatina, and Daria Sverdlova. "TASK SCHEDULING OPTIMISATION OF DISTRIBUTED REAL-TIME COMPUTING SYSTEMS." Science-based technologies 60, no. 4 (2024): 386–93. http://dx.doi.org/10.18372/2310-5461.60.18267.

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Distributed computing structures for production and special purposes represent the resources of soft or hard real-time systems. The problem of task planning is to determine the optimal distribution according to the generalized criterion of system utility. The article discusses the methods of building a schedule, based on the theory of planning. It is shown that the most effective step in this process is the optimisation of the activity of the enterprises or organizations at all levels - economic, technical, informational, etc., under the conditions of natural limitations on time resources. Sin

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9

Pan, Sisi, Wei Jiang, Ming Li, Hua Geng, and Jieyun Wang. "Evaluation of the Communication Delay in a Hybrid Real-Time Simulator for Weak Grids." Energies 15, no. 6 (2022): 2255. http://dx.doi.org/10.3390/en15062255.

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Real-time Simulation (RTS) is one of the effective means via which to study device level or system level dynamics, such as power converter online testing, evaluation, and control, and power system stability analysis. The RTS -enabled design-chain offers a time -effective, low-cost, and fail-safe development process. As the penetration of renewable energy is becoming higher, the demand in hybrid system real-time simulation becomes imperative, where fast-dynamic device level power converters and slow -dynamic large -scale power systems are simulated at the same time. This paper introduces a nove

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10

Kim, Beomsoo, and Jeongrae Kim. "Prediction of IGS RTS Orbit Correction Using LSTM Network at the Time of IOD Change." Sensors 22, no. 23 (2022): 9421. http://dx.doi.org/10.3390/s22239421.

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The international GNSS service (IGS) real-time service (RTS) provides orbit and clock corrections for the global navigation satellite system (GNSS) via the internet. RTS is widely used for real-time, precise positioning and its data is transmitted via the internet. Intermittent data loss can occur and cause positioning accuracy degradation. RTS data has a discontinuity when the issue of data (IOD) changes every two hours. If the signal loss occurs immediately after the IOD change, then the performance of the RTS prediction degrades significantly. We propose an adjustment method to make the RTS

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11

Bompard, Ettore, Abouzar Estebsari, Andrea Mazza, Enrico Pons, and Lorenzo Solida. "Innovative Higher Education Approaches for Power System Courses." Education Sciences 13, no. 1 (2023): 92. http://dx.doi.org/10.3390/educsci13010092.

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Higher education plays a crucial role in modern society and in emerging energy systems, due to the rising complexity of the phenomena and the interplay among various layers (physical, cyber, social and economic). To cope with this context, universities need to develop new visions and tools for education and training. Real-time simulation (RTS) is emerging as a novel and effective approach to analyzing power system aspects, and this characteristic can be effectively used in power system courses. Hence, after the presentation of the basics about the RTS, the paper will show the advantages of emp

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Wintermute, Sam, Joseph Xu, and John Laird. "SORTS: A Human-Level Approach to Real-Time Strategy AI." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 3, no. 1 (2021): 55–60. http://dx.doi.org/10.1609/aiide.v3i1.18783.

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We developed knowledge-rich agents to play real-time strategy games by interfacing the ORTS game engine to the Soar cognitive architecture. The middleware we developed supports grouping, attention, coordinated path finding, and FSM control of low-level unit behaviors. The middleware attempts to provide information humans use to reason about RTS games, and facilitates creating agent behaviors in Soar. Agents implemented with this system won two out of three categories in the AIIDE 2006 ORTS competition.

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Xie, Hongyun, Haixia Gu, Chao Lu, and Jialin Ping. "Online Simulation of Nuclear Power Plant Primary Systems." Science and Technology of Nuclear Installations 2020 (December 15, 2020): 1–9. http://dx.doi.org/10.1155/2020/8819239.

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Real-time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, online simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purpose of analyzing plant events and providing indicative signs of malfunctioning. OLS has been applied in certain industries to improve safety and efficiency. However, it is new to the nuclear power industry. A research project was initiated to implement

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14

Song, Jiyoung, Kyeon Hur, Jeehoon Lee, et al. "Hardware-in-the-Loop Simulation Using Real-Time Hybrid-Simulator for Dynamic Performance Test of Power Electronics Equipment in Large Power System." Energies 13, no. 15 (2020): 3955. http://dx.doi.org/10.3390/en13153955.

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This paper presents the hardware-in-the-loop simulation for dynamic performance test (HILS-DPT) of power electronic equipment replicas using a real-time hybrid simulator (RTHS). The authors developed the procedure of HILS-DPT, and as an actual case example, the results of HILS-DPT of Static VAR Compensator (SVC) replica using RTHS is presented. RTHS is a co-simulation tool that synthesizes real-time simulator (RTS) with transient stability program to perform real-time dynamic simulation of a large power system. As power electronics applications have been increasing, the electric utilities have

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15

Fauzi, Rahmat, Mochamad Hariadi, Supeno Mardi Susiki Nugroho, and Muharman Lubis. "Defense behavior of real time strategy games: comparison between HFSM and FSM." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 634–42. https://doi.org/10.11591/ijeecs.v13.i2.pp634-642.

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RTS Game is one of the popular genre in PC gaming, which has been played by various type of players frequently. In RTS game, NPC Defense Building (Tower) has attacking behavior to the closest enemy without considering certain enemy parameters. This causes the NPC Tower to be more predictable by the opponent and easily defeated if NPC attacked by enemies in the group. Thus, this research simulates NPC Tower using Hierarchical Finite State Machine (HFSM) method compared with Finite State Machine (FSM). In this study, NPC Tower detects enemies by seeing at four parameters namely NPC Tower Health,

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16

Kiliszek, Damian. "GPS and Galileo Precise Point Positioning Performance with Tropospheric Estimation Using Different Products: BRDM, RTS, HAS, and MGEX." Remote Sensing 17, no. 12 (2025): 2080. https://doi.org/10.3390/rs17122080.

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The performance of Precise Point Positioning (PPP) using different Global Navigation Satellite System (GNSS) product sets, including broadcast ephemerides, International GNSS Service Real-Time Service (IGS-RTS) corrections, Galileo High Accuracy Service (HAS) corrections, and precise products from the Center for Orbit Determination in Europe (CODE) Multi-GNSS Experiment (MGEX), has been evaluated. The availability of solutions, convergence time, position accuracy and Zenith Tropospheric Delay (ZTD) estimation across these products were analyzed using simulated real-time and postprocessing stat

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Kim, Mingyu, and Jeongrae Kim. "GA-ARMA Model for Predicting IGS RTS Corrections." International Journal of Aerospace Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/6316590.

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The global navigation satellite system (GNSS) is widely used to estimate user positions. For precise positioning, users should correct for GNSS error components such as satellite orbit and clock errors as well as ionospheric delay. The international GNSS service (IGS) real-time service (RTS) can be used to correct orbit and clock errors in real-time. Since the IGS RTS provides real-time corrections via the Internet, intermittent data loss can occur due to software or hardware failures. We propose applying a genetic algorithm autoregressive moving average (GA-ARMA) model to predict the IGS RTS

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18

Guevara López, Pedro, José de Jesús Medel Juárez, and Gustavo Delgado Reyes. "Description of execution time dynamics for a set of concurrent real-time tasks." Revista Facultad de Ingeniería Universidad de Antioquia, no. 61 (November 15, 2012): 123–31. http://dx.doi.org/10.17533/udea.redin.13544.

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A Real-time System (RTS) implemented in a digital computer interacts with the physical world through knowledge variables (sensors, actuators, Analogical - Digital, and Digital-Analogical convertors) processing its requirements through real-time tasks (Ji: i∈Z+). Each Ji is formed by a set of instances {ji,k: i, k∈Z+, i is the task index, k is the instance index} with at least three time constraints: arrival, execution and, interval times (Li,k, Ci,k, Di,k). The execution time identification ˆCi ,k , is based on Instrumental Variable parameter estimation and the recursive state space ARMA model

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19

Qin, Bin, Howard A. Sholl, and Reda A. Ammar. "RTS: A system to simulate the real time cost behaviour of parallel computations." Software: Practice and Experience 18, no. 10 (1988): 967–85. http://dx.doi.org/10.1002/spe.4380181004.

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20

Wang, En, Wei Wei, Bing Dong Wang, and Zhe Liu. "Real-Time Dispatching Operation Risk Assessment Based on Fault Tree Theory." Advanced Materials Research 732-733 (August 2013): 909–14. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.909.

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Reasonable dispatching strategies are important to guarantee secure and reliable operation of power system. Now the operators use real-time data and their experience to dispatch the system, but the huge data system brings much inconvenience to operators. In this paper, the risk theory is introduced into dispatching operation quantitative assessment, and a real-time dispatching operation risk analysis method is proposed. Fault tree is used to simulate dispatching operation process and comprehensively analyze the system risk in both under-successful and failure state of the operation. Risk indic

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21

Walinjkar, Amit. "A Composite and Wearable Sensor Kit for Location-Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction." Applied System Innovation 1, no. 3 (2018): 35. http://dx.doi.org/10.3390/asi1030035.

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With the advances in the microfabrication of analogue front-end devices, and embedded and signal processing technology, it has now become possible to devise miniaturized health monitoring kits for non-invasive real time monitoring at any location. The current commonly available kits only measure singleton physiological parameters, and a composite analysis that covers all vital signs and trauma scores seems to be missing with these kits. The research aims at using vital signs and other physiological parameters to calculate trauma scores National Early Warning Score (NEWS), Revised Trauma Score

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22

Atoki, Lucas Olu., Ono, Matthew N., Ono, Matthew N., and Ibraheem, Sikiru Temitope. "Assessing the Tropospheric Impacts on Positioning Accuracy Using IGS02 Real-Time Service Data Versus Long-Convergence Static PPP in Gwagwalada, Abuja, Nigeria." International Journal of Latest Technology in Engineering Management & Applied Science 13, no. 8 (2024): 142–50. http://dx.doi.org/10.51583/ijltemas.2024.130817.

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Abstract: The International Association of Geodesy (IAG) has established the International GNSS Service-Real Time Service (IGS-RTS) as a service provider, offering real-time access to precise products like orbits, clock corrections, and code biases regarding satellite navigation and positioning system. These products serve as an alternative to ultra-rapid products in real-time applications. The performance of these products is assessed through daily statistics from Analysis Centres, which compare them to IGS rapid products. However, the accuracy of GPS real-time corrections for satellites duri

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Venkaiah, Chintham, and Mallesham Dulla. "Static security based available transfer capability (ATC) computation for real-time power markets." Serbian Journal of Electrical Engineering 7, no. 2 (2010): 269–89. http://dx.doi.org/10.2298/sjee1002269v.

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In power system deregulation, the Independent System Operator (ISO) has the responsibility to control the power transactions and avoid overloading of the transmission lines beyond their thermal limits. To achieve this, the ISO has to update in real-time periodically Available Transfer Capability (ATC) index for enabling market participants to reserve the transmission service. In this paper Static Security based ATC has been computed for real-time applications using three artificial intelligent methods viz.: i) Back Propagation Algorithm (BPA); ii) Radial Basis Function (RBF) Neural network; an

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Churchill, David, Zeming Lin, and Gabriel Synnaeve. "An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 2 (2021): 8–14. http://dx.doi.org/10.1609/aiide.v13i2.12962.

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Real-Time Strategy games have become a popular test-bed for modern AI system due to their real-time computational constraints, complex multi-unit control problems, and imperfect information. One of the most important aspects of any RTS AI system is the efficient control of units in complex combat scenarios, also known as micromanagement. Recently, a model-based heuristic search technique called Portfolio Greedy Search (PGS) has shown promisingpaper we present the first integration of PGS into the StarCraft game engine, and compare its performance to the current state-of-the-art deep reinforcem

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McKenzie, Andrew, Shameka Dawson, Fei Hu, and Monica Anderson. "Using Sun’s Java Real-Time System to Manage Behavior-Based Mobile Robot Controllers." Journal of Robotics 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/525724.

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Implementing a robot controller that can effectively manage limited resources in a deterministic, real-time manner is challenging. Behavior-based architectures that decompose autonomy into levels of intelligence are popular due to their robustness but do not provide real-time features that enforce timing constraints or support determinism. We propose an architecture and approach for using the real-time features of the Real-Time Specification for Java (RTSJ) in a behavior-based mobile robot controller to show that timing constraints affect performance. This is accomplished by extending a real-t

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Fauzi, Rahmat, Mochamad Hariadi, Muharman Lubis, and Supeno Mardi Susiki Nugroho. "Defense behavior of real time strategy games: comparison between HFSM and FSM." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 634. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp634-642.

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<span>RTS Game is one of the popular genre in PC gaming, which has been played by various type of players frequently. In RTS game, NPC Defense Building (Tower) has attacking behavior to the closest enemy without considering certain enemy parameters. This causes the NPC Tower to be more predictable by the opponent and easily defeated if NPC attacked by enemies in the group. Thus, this research simulates NPC Tower using Hierarchical Finite State Machine (HFSM) method compared with Finite State Machine (FSM). In this study, NPC Tower detects enemies by seeing at four parameters namely NPC T

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27

Lerke, Otto, and Volker Schwieger. "Analysis of a kinematic real-time robotic total station network for robot control." Journal of Applied Geodesy 15, no. 3 (2021): 169–88. http://dx.doi.org/10.1515/jag-2021-0016.

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Abstract The use of robots is widespread in the field of construction nowadays. Robots may be mobile or static depending on the specific task or application. One of the major challenges when implementing mobile robots is localisation. In the field of robotics, localisation is often performed in a relative sense, however some applications require absolute localisation. In order to provide absolute positions, appropriate sensors such as Global Navigation Satellite Systems (GNSS) or total stations can be employed. The underlying task is embedded within the Germany´s Excellence Strategy “Integrati

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Lee, Choongman, Gyu-Jung Cho, and Joorak Kim. "Development of Scott Transformer Model in Electromagnetic Transients Programs for Real-Time Simulations." Applied Sciences 11, no. 12 (2021): 5752. http://dx.doi.org/10.3390/app11125752.

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This paper presents a Scott transformer model to be applied in electromagnetic transients (EMT) programs, particularly in the absence of a detailed Scott transformer model for performing real-time simulations (RTS). Regarding a Scott transformer, a common topology for converting a three-phase network into two single-phase networks, the transformer model in EMT programs is essential to simulate large-scale electric railway systems. A code-based model has been developed to simulate the transformer in RTS directly and contain the transformer’s actual impedance characteristics. By establishing a m

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Mingotti, Alessandro, Federica Costa, Diego Cavaliere, Lorenzo Peretto, and Roberto Tinarelli. "On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications." Sensors 21, no. 18 (2021): 6133. http://dx.doi.org/10.3390/s21186133.

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In recent years, the introduction of real-time simulators (RTS) has changed the way of researching the power network. In particular, researchers and system operators (SOs) are now capable of simulating the complete network and of making it interact with the real world thanks to the hardware-in-the-loop (HIL) and digital twin (DT) concepts. Such tools create infinite scenarios in which the network can be tested and virtually monitored to, for example, predict and avoid faults or energy shortages. Furthermore, the real-time monitoring of the network allows estimating the status of the electrical

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Lan, Ruohua, Cheng Yang, Yanli Zheng, Qiaozhuang Xu, Jie Lv, and Zhouzheng Gao. "Evaluation of BDS-3 B1C/B2b Single/Dual-Frequency PPP Using PPP-B2b and RTS SSR Products in Both Static and Dynamic Applications." Remote Sensing 14, no. 22 (2022): 5835. http://dx.doi.org/10.3390/rs14225835.

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The BeiDou Global Navigation Satellite System (BDS-3) can provide PPP-B2b satellite-based Precise Point Positioning (PPP) real-time service to the Asia–Pacific region via PPP-B2b signal transmitted from the three Geostationary Earth Orbit (GEO) satellites. This paper provides a comprehensive evaluation of the accuracies of the satellite’s precise real-time orbit and clock products, including BDS-3 PPP-B2b precise products and the precise real-time products provided by four IGS centers (CAS, DLR, GFZ, and WHU). In addition, the influences of these real-time precise satellite products on the PPP

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Abdul Razak, Noor Thuwaibah, Huda A. Majid, Faiz Asraf Saparuddin, Muhamad Fitry Abdul Jalil, Muhamad Shakry Jamaluddin Jalil, and Mohd Hazmi Mokhtar. "The Ground Control Station Design For Can-Sized Satellite (CanSAT) System." International Journal of Advanced Technology in Mechanical, Mechatronics and Materials 1, no. 2 (2020): 76–82. http://dx.doi.org/10.37869/ijatec.v1i2.24.

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Nowadays, Natural disaster tragedy is now one of the world's biggest concerns. Can-sized satellite, MedSAT: Location-Aware CanSAT for On-Site Emergency Medical Supplies develop a platform for finding direction and accurately locating an emergency patient and providing emergency medical supplies such as bandages, antiseptic wipes, sterile gauze pads of various sizes, insulin, pills, syringe and antivenom, as well as real-time visual feed for medical diagnosis during and after landing. This project focuses on the design of MedSAT and provides a real-time system to capture MedSAT’s real-time data

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Canese, Lorenzo, Gian Carlo Cardarilli, Mohammad Mahdi Dehghan Pir, Luca Di Nunzio, and Sergio Spanò. "Design and Development of Multi-Agent Reinforcement Learning Intelligence on the Robotarium Platform for Embedded System Applications." Electronics 13, no. 10 (2024): 1819. http://dx.doi.org/10.3390/electronics13101819.

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This research explores the use of Q-Learning for real-time swarm (Q-RTS) multi-agent reinforcement learning (MARL) algorithm for robotic applications. This study investigates the efficacy of Q-RTS in the reducing convergence time to a satisfactory movement policy through the successful implementation of four and eight trained agents. Q-RTS has been shown to significantly reduce search time in terms of training iterations, from almost a million iterations with one agent to 650,000 iterations with four agents and 500,000 iterations with eight agents. The scalability of the algorithm was addresse

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Zhang, Yuanfan, Zhixi Nie, Zhenjie Wang, Huisheng Wu, and Xiaofei Xu. "Real-Time Coseismic Displacement Retrieval Based on Temporal Point Positioning with IGS RTS Correction Products." Sensors 21, no. 2 (2021): 334. http://dx.doi.org/10.3390/s21020334.

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With the rapid development of the global navigation satellite system (GNSS), high-rate GNSS has been widely used for high-precision GNSS coseismic displacement retrieval. In recent decades, relative positioning (RP) and precise point positioning (PPP) are mainly adopted to retrieve coseismic displacements. However, RP can only obtain relative coseismic displacements with respect to a reference station, which might be subject to quaking during a large seismic event. While PPP needs a long (re)convergence period of tens of minutes. There is no convergence time needed in the variometric approach

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Delgado-Reyes, Gustavo, Jorge Salvador Valdez-Martínez, Miguel Ángel Hernández-Pérez, Karina Ruby Pérez-Daniel, and Pedro Javier García-Ramírez. "Quadrotor Real-Time Simulation: A Temporary Computational Complexity-Based Approach." Mathematics 10, no. 12 (2022): 2032. http://dx.doi.org/10.3390/math10122032.

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The interaction of digital systems with dynamic systems requires synchrony and the accomplishment of time constrains, so the simulation of physical processes needs an implementation by means of real-time systems (RTS). However, as it can be expected, every simulation and/or implementation might demand too many computational resources, surpassing the capacity of the processor used by computational systems. This is the reason for the need to perform a temporary computational complexity analysis based on the study of the behavior of the execution times of the implemented simulation. In this regar

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Sandeep, S. Chapalkar, and Karibasappa K. "Relative Deadline Analysis in Multitasking RTS using RM & EDF Scheduling." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 1 (2021): 246–51. https://doi.org/10.35940/ijrte.A5900.0510121.

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In embedded systems the time required for any process to complete its execution in multitasking environment is an important factor to understand the performance of Real Time System (RTS) and its ability fulfill the deadline requirement of each process under different process load conditions. Even though some non-critical systems provide flexibility over deadlines, the hard real time systems are to be designed to meet the deadline requirement of all processes under peak process load condition. The number of processes available in scheduling queue may vary with time, the dynamic load on processi

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Dahlbom, Anders, and Lars Niklasson. "Goal-Directed Hierarchical Dynamic Scripting for RTS Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2, no. 1 (2021): 21–28. http://dx.doi.org/10.1609/aiide.v2i1.18742.

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Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach for incorporating learning into real-time strategy games. Two alternatives for shortening the re-adaptation time when using dynamic scripting are also presented. Finally, this paper presents an effective way of throttling the performance of the adaptive artificial intelligence system. Put together, the approach entails the possibility of an artificial intelligence opponent to be challenging for a human player, but not too c

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Kozuka-Hata, Hiroko, Tomoko Hiroki, Naoaki Miyamura, et al. "Real-Time Search-Assisted Multiplexed Quantitative Proteomics Reveals System-Wide Translational Regulation of Non-Canonical Short Open Reading Frames." Biomolecules 13, no. 6 (2023): 979. http://dx.doi.org/10.3390/biom13060979.

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Abnormal expression of histone deacetylases (HDACs) is reported to be associated with angiogenesis, metastasis and chemotherapy resistance regarding cancer in a wide range of previous studies. Suberoylanilide hydroxamic acid (SAHA) is well known to function as a pan-inhibitor for HDACs and recognized as one of the therapeutic drug candidates to epigenetically coordinate cancer cell fate regulation on a genomic scale. Here, we established a Real-Time Search (RTS)-assisted mass spectrometric platform for system-wide quantification of translated products encoded by non-canonical short open readin

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Chapalkar*, Sandeep S., and Karibasappa K. "Relative Deadline Analysis in Multitasking RTS using RM & EDF Scheduling." International Journal of Recent Technology and Engineering 10, no. 1 (2021): 246–51. http://dx.doi.org/10.35940/ijrte.a5900.0510121.

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In embedded systems the time required for any process to complete its execution in multitasking environment is an important factor to understand the performance of Real Time System (RTS) and its ability fulfill the deadline requirement of each process under different process load conditions. Even though some non-critical systems provide flexibility over deadlines, the hard real time systems are to be designed to meet the deadline requirement of all processes under peak process load condition. The number of processes available in scheduling queue may vary with time, the dynamic load on processi

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Bin Zohari, Mohd Hakimi, Lam Hong Yin, and Mohd Hezri Bin Mokhtar. "Improving communication between can-sized satellite and ground control station for accuracy of data acquisition." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 197. http://dx.doi.org/10.11591/ijeecs.v36.i1.pp197-204.

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The can-sized satellite, ScoreSAT satellite is a small communications satellite. ScoreSAT helps to develop a platform for finding directions and the exact spot where a lack of communications signal occurs, as well as a real-time visual feed for analysis of communication during and after landing. The project focuses on the design of ScoreSAT and provides a real-time system for capturing real-time data during descent. The objective of the real-time system is to improve the accuracy and location of ScoreSAT data collection, which can provide pressure, humidity, temperature, altitude, latitude, an

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Mohd, Hakimi Bin Zohari Lam Hong Yin Mohd Hezri Bin Mokhtar. "Improving communication between can-sized satellite and ground control station for accuracy of data acquisition." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 197–204. https://doi.org/10.11591/ijeecs.v36.i1.pp197-204.

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The can-sized satellite, ScoreSAT satellite is a small communications satellite. ScoreSAT helps to develop a platform for finding directions and the exact spot where a lack of communications signal occurs, as well as a real-time visual feed for analysis of communication during and after landing. The project focuses on the design of ScoreSAT and provides a real-time system for capturing real-time data during descent. The objective of the real-time system is to improve the accuracy and location of ScoreSAT data collection, which can provide pressure, humidity, temperature, altitude, latitude, an

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Pradhan, Padma Lochan. "Dynamic Semi-Group CIA Pattern Optimizing the Risk on RTS." International Journal of Digital Crime and Forensics 9, no. 1 (2017): 51–70. http://dx.doi.org/10.4018/ijdcf.2017010104.

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The preventive control is one of the best well advance control for recent complex IS Security Application to protect the data and services from the uncertainty, hacker, and unauthorized users. Now, increasing the demand and importance of business, information & communication system & growing the external risks is a very common phenomenon for everywhere. The RTS security put forward to the management focus on IT infrastructure. This work contributes to the development of an optimization pattern that aims to determine the optimal cost to be apply into security mechanisms deciding on the

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Pradhan, Padma Lochan. "Impact of Cryptographic Key on Scalable Computing." International Journal of Security and Privacy in Pervasive Computing 14, no. 1 (2022): 1–17. http://dx.doi.org/10.4018/ijsppc.313046.

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The research has contributed to the development of the cryptographic control on the proposed RTS that aims to determine the high-performance computing at optimal cost and time to be invested into dynamic cryptographic control that decides on the major components of real-time operating system resources. Furthermore, the mechanism optimizes the cost, and resources are supposed to optimize the operating system risks. We have to optimize the technology and resource cost and maximizes the productivity and business (throughput) while improving the high performance of the operating system as per busi

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Valdez Martínez, Jorge Salvador, Gustavo Delgado Reyes, Pedro Guevara López, and Juan Carlos García Infante. "Reconstruction of the execution times dynamics of real-time tasks by fuzzy digital filtering." Revista Facultad de Ingeniería Universidad de Antioquia, no. 70 (February 12, 2014): 155–66. http://dx.doi.org/10.17533/udea.redin.14002.

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Real-time systems (RTS) process their activities through tasks which in turn consist of a set of instances, each one of this real-time task (RTT) have six temporary constraints: arrival time, start time, execution time, end time, over time and deadline. Of these six constraints, the execution time depends directly on the software and hardware of the computer, because of that this temporary constraints varies due to external and internal factors, this variation may cause at least some instance does not satisfy the deadline, in this sense it is important to propose a model to reconstruct the beh

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Zhou, Liangcai, Long Huo, Linlin Liu, Hao Xu, Rui Chen, and Xin Chen. "Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning." Energies 18, no. 7 (2025): 1809. https://doi.org/10.3390/en18071809.

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The increasing integration of renewable energy sources (RESs) introduces significant uncertainties in both generation and demand, presenting critical challenges to the convergence, feasibility, and real-time performance of optimal power flow (OPF). To address these challenges, a multi-agent deep reinforcement learning (DRL) model is proposed to solve the OPF while ensuring constraints are satisfied rapidly. A heterogeneous multi-agent proximal policy optimization (H-MAPPO) DRL algorithm is introduced for multi-area power systems. Each agent is responsible for regulating the output of generatio

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Korkhov, Vladimir, Dmitry Vasyunin, Adianto Wibisono, et al. "VLAM-G: Interactive Data Driven Workflow Engine for Grid-Enabled Resources." Scientific Programming 15, no. 3 (2007): 173–88. http://dx.doi.org/10.1155/2007/812036.

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Grid brings the power of many computers to scientists. However, the development of Grid-enabled applications requires knowledge about Grid infrastructure and low-level API to Grid services. In turn, workflow management systems provide a high-level environment for rapid prototyping of experimental computing systems. Coupling Grid and workflow paradigms is important for the scientific community: it makes the power of the Grid easily available to the end user. The paradigm of data driven workflow execution is one of the ways to enable distributed workflow on the Grid. The work presented in this p

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Wu, Bin. "Hierarchical Macro Strategy Model for MOBA Game AI." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1206–13. http://dx.doi.org/10.1609/aaai.v33i01.33011206.

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The next challenge of game AI lies in Real Time Strategy (RTS) games. RTS games provide partially observable gaming environments, where agents interact with one another in an action space much larger than that of GO. Mastering RTS games requires both strong macro strategies and delicate micro level execution. Recently, great progress has been made in micro level execution, while complete solutions for macro strategies are still lacking. In this paper, we propose a novel learning-based Hierarchical Macro Strategy model for mastering MOBA games, a sub-genre of RTS games. Trained by the Hierarchi

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Zhao, Lelong, Ming Lei, Yue Liu, et al. "LEO-SOP Differential Doppler/INS Tight Integration Method Under Weak Observability." Electronics 14, no. 2 (2025): 250. https://doi.org/10.3390/electronics14020250.

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The utilization of low Earth orbit (LEO) satellites’ signals of opportunity (SOPs) for absolute positioning and navigation in global navigation satellite system (GNSS)-denied environments has emerged as a significant area of research. Among various methodologies, tightly integrated Doppler/inertial navigation system (INS) frameworks present a promising solution for achieving real-time LEO-SOP-based positioning in dynamic scenarios. However, existing integration schemes generally overlook the key characteristics of LEO opportunity signals, including the limited number of visible satellites and

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Singh, Bhupendra, and Rajesh Mishra. "Performance Analysis of DCF- Two Way Handshake vs RTS/CTS During Train-Trackside Communication in CBTC based on WLAN802.11b." Recent Advances in Computer Science and Communications 13, no. 3 (2020): 345–52. http://dx.doi.org/10.2174/2213275912666190103141939.

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Background: Wireless Local Area Network (WLAN) is used primarily in CBTC because of easy availability of commercial WLAN equipment. In present scenario, WLAN Medium Access Control (MAC) protocol is a well-known protocol which is used to satisfy real-time traffic and delay- sensitive applications. The bidirectional train-trackside communication is the fundamental key of train control in CBTC. Methods: DCF describes two basic techniques used for packet transmission: First technique is a Two Way Handshake (TWH) mechanism and another is Four Way Handshake (FWH) mechanisms. RTS/CTS FWH protocol spe

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Farooq, Muhammad Sajid, Safiullah Khan, Abdur Rehman, Sagheer Abbas, Muhammad Adnan Khan, and Seong Oun Hwang. "Blockchain-Based Smart Home Networks Security Empowered with Fused Machine Learning." Sensors 22, no. 12 (2022): 4522. http://dx.doi.org/10.3390/s22124522.

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Security and privacy in the Internet of Things (IoT) other significant challenges, primarily because of the vast scale and deployment of IoT networks. Blockchain-based solutions support decentralized protection and privacy. In this study, a private blockchain-based smart home network architecture for estimating intrusion detection empowered with a Fused Real-Time Sequential Deep Extreme Learning Machine (RTS-DELM) system model is proposed. This study investigates the methodology of RTS-DELM implemented in blockchain-based smart homes to detect any malicious activity. The approach of data fusio

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Di Vito, Vittorio, and Giulia Torrano. "RPAS Automatic ADS-B Based Separation Assurance and Collision Avoidance System Real-Time Simulation Results." Drones 4, no. 4 (2020): 73. http://dx.doi.org/10.3390/drones4040073.

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Remotely piloted aircraft systems (RPAS) are increasingly becoming relevant actors that are flying through the airspace and will gain much more importance in the future. In order to allow for their safe integration with manned conventional traffic in non-segregated airspaces, in accordance with the overall air traffic management (ATM) paradigm, specific enabling technologies are needed. As is well known, the detect and avoid (DAA) technology is fundamental among the enabling technologies identified as crucial for RPAS integration into the overall ATM system. In the meantime, to support extende

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