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Journal articles on the topic 'Static algorithm improvement'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Mohyar, Shaiful Nizam, Masahiro Murakami, Atsushi Motozawa, Haruo Kobayashi, Osamu Kobayashi, and Tatsuji Matsuura. "SFDR Improvement Algorithms for Current-Steering DACs." Key Engineering Materials 643 (May 2015): 101–8. http://dx.doi.org/10.4028/www.scientific.net/kem.643.101.

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This paper presents algorithms for improving spurious-free dynamic range (SFDR) of current-steering digital-to-analog converters (DACs) — targeted at communication applications — by minimizing both current-source mismatches and glitches. Conventional segmented current-steering DACs suffer from static mismatches among current sources which cause nonlinearity and degrade SFDR, though glitch energy is relatively small. The data-weighted averaging (DWA) algorithm can reduce static current source mismatch effects, but it increases the effects of glitch energy. Here we investigate the use of both co

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Zhang, Lin, Yingjie Zhang, Manni Zeng, and Yangfan Li. "Robot navigation based on improved A* algorithm in dynamic environment." Assembly Automation 41, no. 4 (2021): 419–30. http://dx.doi.org/10.1108/aa-07-2020-0095.

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Purpose The purpose of this paper is to put forward a path planning method in complex environments containing dynamic obstacles, which improves the performance of the traditional A* algorithm, this method can plan the optimal path in a short running time. Design/methodology/approach To plan an optimal path in a complex environment with dynamic and static obstacles, a novel improved A* algorithm is proposed. First, obstacles are identified by GoogLeNet and classified into static obstacles and dynamic obstacles. Second, the ray tracing algorithm is used for static obstacle avoidance, and a dynam

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Zou, Liang, Zi Zhang, and Ling Xiang Zhu. "Improvement A* Algorithm Based on Dynamic Consistency Assumption." Applied Mechanics and Materials 97-98 (September 2011): 883–87. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.883.

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Efficient dynamic shortest path algorithm in static networks plays an important role in ITS. To solve this problem, this paper brings forward the dynamic form of Consistency Assumption and Dynamic A* algorithm (A* algorithm based on dynamic lower bound, DA* algorithm) based on dynamic lower bound. DA* algorithm and the dynamic form of Consistency Assumption are described in detail. It is proved that DA* algorithm can solve one origin node to one destination node shortest paths problem in dynamic networks, if DA* algorithm’s dynamic lower bound satisfies the dynamic form of Consistency Assumpti

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Lenin, Kanagasabai. "ACTIVE POWER LOSS REDUCTION AND IMPROVEMENT OF STATIC VOLTAGE STABILITY MARGIN INDEX BY WATERWAY ALGORITHM." SINERGI 22, no. 3 (2018): 155. http://dx.doi.org/10.22441/sinergi.2018.3.003.

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In this paper, the Waterway Algorithm (WA) is used for Active Power Loss Reduction and improvement of Static Voltage Stability Margin Index. The design of the Waterway Algorithm (WA) is imitated from nature and the whole waterway process which involves the flow of streams and rivers into the sea in the natural world. The proposed Waterway Algorithm (WA) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the superior performance of the proposed algorithm in reducing the real power loss and upgrading the Static Voltage Stability Margin Index.

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Ameen, Shivan Qasim, and Firas Layth Khaleel. "Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4374. http://dx.doi.org/10.11591/ijece.v8i6.pp4374-4381.

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Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Par

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Ameen, Shivan Qasim, and Firas Layth Khaleel. "Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2020): 4374–81. https://doi.org/10.11591/ijece.v8i6.pp4374-4381.

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Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Par

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SHINJO, K., S. SHIMOGAWA, J. YAMADA, and K. OIDA. "A STRATEGY OF DESIGNING ROUTING ALGORITHMS BASED ON IDEAL ROUTINGS." International Journal of Modern Physics C 10, no. 01 (1999): 63–94. http://dx.doi.org/10.1142/s012918319900005x.

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This paper proposes a strategy of designing routing algorithms for connectionless packet-switched networks. This strategy consists of three design elements as follows: [A] the notion of ideal routings is introduced to provide the upper performance limits attained by improving routing algorithm and it serves as a standard to measure the performance of other algorithms; [B] a method of constructing simple algorithms is presented under implementation conditions from ideal routings; [C] a method is described to enhance the performance limits of [A]. By using these elements, simple algorithms with

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Gallego, Luis A., Marcos J. Rider, Marina Lavorato, and Antonio Paldilha-Feltrin. "An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning." Journal of Electrical and Computer Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/781041.

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An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the p

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Ramadan, Abdelhady, Salah Kamel, Mohamed H. Hassan, Emad M. Ahmed, and Hany M. Hasanien. "Accurate Photovoltaic Models Based on an Adaptive Opposition Artificial Hummingbird Algorithm." Electronics 11, no. 3 (2022): 318. http://dx.doi.org/10.3390/electronics11030318.

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The greater the demand for energy, the more important it is to improve and develop permanent energy sources, because of their advantages over non-renewable energy sources. With the development of artificial intelligence algorithms and the presence of so many data, the evolution of simulation models has increased. In this research, an improvement to one recent optimization algorithm called the artificial hummingbird algorithm (AHA) is proposed. An adaptive opposition approach is suggested to select whether or not to use an opposition-based learning (OBL) method. This improvement is developed ba

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Mishra, Soumya. "A MICC Algorithm for Power Quality Improvement Using PV-DSTATCOM." Asian Journal of Electrical Sciences 8, S1 (2019): 55–59. http://dx.doi.org/10.51983/ajes-2019.8.s1.2306.

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A modified indirect control algorithm is presented in this paper to improve the operation of photovoltaic fed distributed static compensator. This new algorithm overcomes the limitations of direct current control algorithm under non-ideal supply voltage conditions such asswitching notches in source current after compensation, distortions in the reference source current and poor harmonic elimination. The design and performance testing of the presented system has been carried out in MATLAB/Simulink software. Furthermore, the efficacy and robustness of the presented system are validated through e

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Zhang, Shuzhen, Wei Tang, Panpan Li, and Fusheng Zha. "Mapless Path Planning for Mobile Robot Based on Improved Deep Deterministic Policy Gradient Algorithm." Sensors 24, no. 17 (2024): 5667. http://dx.doi.org/10.3390/s24175667.

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In the traditional Deep Deterministic Policy Gradient (DDPG) algorithm, path planning for mobile robots in mapless environments still encounters challenges regarding learning efficiency and navigation performance, particularly adaptability and robustness to static and dynamic obstacles. To address these issues, in this study, an improved algorithm frame was proposed that designs the state and action spaces, and introduces a multi-step update strategy and a dual-noise mechanism to improve the reward function. These improvements significantly enhance the algorithm’s learning efficiency and navig

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Tang, Yu Lan, and Jian Hui Chen. "The Improvement of Pseudo-Boolean Satisfiability Algorithm for FPGA Routing." Advanced Materials Research 490-495 (March 2012): 1511–15. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1511.

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A new routing algorithm is proposed for FPGA to improve the increasing transformation cost of pseudo-Boolean Satisfiability algorithm in the routing process, which combined advantages of pseudo-Boolean Satisfiability and geometric routing algorithm. In the routing process, one of geometric routing algorithm-VPR5.0 was chosen firstly for FPGA routing. If not successful, then use pseudo-Boolean Satisfiability algorithm. Technique of static symmetry-breaking is also adding to carry out pretreatment of pseudo-Boolean constraints, detecting and breaking the symmetries in the routing flow. The purpo

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Deng, Xin, Zhaoqi Dong, and Jishiyu Ding. "UAV Confrontation and Evolutionary Upgrade Based on Multi-Agent Reinforcement Learning." Drones 8, no. 8 (2024): 368. http://dx.doi.org/10.3390/drones8080368.

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Unmanned aerial vehicle (UAV) confrontation scenarios play a crucial role in the study of agent behavior selection and decision planning. Multi-agent reinforcement learning (MARL) algorithms serve as a universally effective method guiding agents toward appropriate action strategies. They determine subsequent actions based on the state of the agents and the environmental information that the agents receive. However, traditional MARL settings often result in one party agent consistently outperforming the other party due to superior strategies, or both agents reaching a strategic stalemate with n

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Ali, Abdulqadir Rasool, M. Abbas Najimaldin, and Sheikhyounis Kamal. "Determination of optimal size and location of static synchronous compensator for power system bus voltage improvement and loss reduction using whale optimization algorithm." Eastern-European Journal of Enterprise Technologies 1, no. 8(115) (2022): 26–34. https://doi.org/10.15587/1729-4061.2022.251760.

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Power systems are usually expected to become heavily loaded as the demand for electrical energy grows and economic consideration limits the installation of additional transmission and generating capacity. Keeping the bus voltage in the power system within the standard permissible limits is an important concern to improve the voltage stability and avoid voltage collapse of the whole power system. The common and effective way to achieve this purpose is by adding flexible AC transmission line devices to the power system. One of these devices is static synchronous compensator. In this paper an app

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Praveen Kumar, T., S. Ganapathy, and M. Manikandan. "Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network." Electrical Engineering & Electromechanics, no. 2 (April 18, 2022): 69–77. http://dx.doi.org/10.20998/2074-272x.2022.2.10.

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Purpose. This article proposes a new control strategy for static synchronous compensator in utility grid system. The proposed photovoltaic fed static synchronous compensator is utilized along with recurrent neural network based reference voltage generation is presented in grid system network. The novelty of the proposed work consists in presenting a Landsman converter enhanced photovoltaic fed static synchronous compensator with recurrent neural network algorithm, to generate voltage and maintain the voltage-gain ratio. Methods. The proposed algorithm which provides sophisticated and cost-effe

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Wang, Shijie, Zhidan Weng, and Bo Jin. "A Performance Improvement Strategy for Solenoid Electromagnetic Actuator in Servo Proportional Valve." Applied Sciences 10, no. 12 (2020): 4352. http://dx.doi.org/10.3390/app10124352.

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This study presents a simulation model, optimization strategy and the experimental validation of a solenoid electromagnetic actuator that is widely used in industry components, especially in pneumatic/hydraulic valves. In the preliminary design, a two-dimensional magnetostatic finite element analysis (FEA) model is proposed and verified by static push-force comparisons between the two-dimensional FEA model, the three-dimensional FEA model and the experimental results. Then, a static and dynamic performance improvement strategy is proposed. To optimize the static push-force of the actuator, a s

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Wu, Shengwang, Zhongmin Li, Shiji Li, Qiang Liu, and Weiyu Wu. "Static Gesture Recognition Algorithm Based on Improved YOLOv5s." Electronics 12, no. 3 (2023): 596. http://dx.doi.org/10.3390/electronics12030596.

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With the government’s increasing support for the virtual reality (VR)/augmented reality (AR) industry, it has developed rapidly in recent years. Gesture recognition, as an important human-computer interaction method in VR/AR technology, is widely used in the field of virtual reality. The current static gesture recognition technology has several shortcomings, such as low recognition accuracy and low recognition speed. A static gesture recognition algorithm based on improved YOLOv5s is proposed to address these issues. The content-aware re-assembly of features (CARAFE) is used to replace the nea

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Salim, Rigil, and Rajarshi Roy. "Network Coding-aware Lifetime Maximal routing in Multi-hop Static Wireless Ad-hoc Networks." Journal of Communications Software and Systems 10, no. 1 (2014): 1. http://dx.doi.org/10.24138/jcomss.v10i1.135.

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In this paper, we address the issue of maximizing the lifetime of a static wireless ad-hoc network wherein the nodes are battery powered and have limited energy. In such scenarios, routing the traffic along shortest paths will lead to over-use of some nodes leading to premature network partition and an eventual end of communication. Network Coding is a promising technique that has been used, of late, by researchers for throughput improvement. We propose an algorithm that exploits network coding to route a set of unicast traffic demands, the objective being network lifetime maximization. The ro

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Karuppiah, N., S. Muthubalaji, S. Ravivarman, Md Asif, and Abhishek Mandal. "Enhancing the performance of Transmission Lines by FACTS Devices using GSA and BFOA Algorithms." International Journal of Engineering & Technology 7, no. 4.6 (2018): 203. http://dx.doi.org/10.14419/ijet.v7i4.6.20463.

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Flexible Alternating Current Transmission System devices have numerous applications in electrical transmission lines like improvement of voltage stability, reactive power compensation, congestion management, Available Transfer Capacity enhancement, real power loss reduction, voltage profile improvement and much more. The effectiveness of these FACTS devices is enhanced by the placement of these devices in the transmission lines. The placement is based on transmission line sensitivity factors such as Bus voltage stability index and line voltage stability index. This research article focuses on

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Grenson, Pierre, and Eric Garnier. "Distortion reconstruction in S-ducts from wall static pressure measurements." International Journal of Numerical Methods for Heat & Fluid Flow 28, no. 5 (2018): 1134–55. http://dx.doi.org/10.1108/hff-06-2017-0232.

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Purpose This paper aims to report the attempts for predicting “on-the-fly” flow distortion in the engine entrance plane of a highly curved S-duct from wall static pressure measurements. Such a technology would be indispensable to trigger active flow control devices to mitigate the intense flow separations which occur in specific flight conditions. Design/methodology/approach Evaluation of different reconstruction algorithms is performed on the basis of data extracted from a Zonal Detached Eddy Simulation (ZDES) of a well-documented S-Duct (Garnier et al., AIAA J., 2015). Contrary to RANS metho

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Singh, Bhim, Sabha Raj Arya, and Chinmay Jain. "Simple peak detection control algorithm of distribution static compensator for power quality improvement." IET Power Electronics 7, no. 7 (2014): 1736–46. http://dx.doi.org/10.1049/iet-pel.2013.0494.

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Fabbri, Stefano, Klaus Schuhmacher, Matthias Nienhaus, and Emanuele Grasso. "Improvement of Position Estimation of PMSMs Using an Iterative Vector Decoupling Algorithm." Energies 14, no. 1 (2021): 245. http://dx.doi.org/10.3390/en14010245.

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This paper presents an improvement of sensorless techniques based on anisotropy for the estimation of the electrical angular position of synchronous machines by means of an iterative algorithm. The presented method reduces the effect of the fourth saliency harmonics on the measured signals avoiding the use of an observer or filter, thus, no additional dynamics are introduced on the system. Instead, a static algorithm based on iterative steps is proposed, minimizing the angular position error. The algorithm is presented and applied using the DFC (Direct Flux Control) technique but it is not lim

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Mohamed, Shereen Yousef, Mohamed Hamed N. Taha, Hesham N. Elmahdy, and Hany Harb. "A Proposed Load Balancing Algorithm Over Cloud Computing (Balanced Throttled)." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 28–33. http://dx.doi.org/10.35940/ijrte.b6101.0710221.

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Cloud computing refers to the services and applications that are accessible throughout the world from data centers. All services and applications are available online. Virtual machine migration is an important part of virtualization which is considered as essential part in cloud computing environment. Virtual Machine Migration means transferring a running Virtual Machine with all its applications and the operating system state as it is to target destination machine where it continues to run as if nothing happened. It makes balancing between servers. This improves the performance by redistribut

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Shereen, Yousef Mohamed, Hamed N. Taha Mohamed, N. Elmahdy Hesham, and Mohamed Mohieddin Harb Hany. "A Proposed Load Balancing Algorithm Over Cloud Computing (Balanced Throttled)." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 28–33. https://doi.org/10.35940/ijrte.B6101.0710221.

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Cloud computing refers to the services and applications that are accessible throughout the world from data centers. All services and applications are available online. Virtual machine migration is an important part of virtualization which is considered as essential part in cloud computing environment. Virtual Machine Migration means transferring a running Virtual Machine with all its applications and the operating system state as it is to target destination machine where it continues to run as if nothing happened. It makes balancing between servers. This improves the performance by redistribut

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Ochoa, Patricia, Cinthia Peraza, Patricia Melin, Oscar Castillo, and Zong Woo Geem. "Type-3 Fuzzy Dynamic Adaptation of the Crossover Parameter in Differential Evolution for the Optimal Design of Type-3 Fuzzy Controllers for the Inverted Pendulum." Machines 13, no. 6 (2025): 450. https://doi.org/10.3390/machines13060450.

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This paper proposes a dynamic adaptation of the crossover parameter (CR) in Differential Evolution (DE) using Type-3 fuzzy logic. The strategy involves adjusting the CR value according to the progress of the algorithm by employing a Type-3 fuzzy system (T3FS) to handle the uncertainty and variability inherent in this parameter. To assess the effectiveness of the proposed approach, an inverted pendulum system controlled by a T3FS is employed. The controller parameters are optimized using an enhanced DE algorithm. The results demonstrate that dynamically adapting the crossover rate parameter sig

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Tahani, M., M. Masdari, and M. Kazemi. "Aerodynamic performance improvement of a canard control missile." Aircraft Engineering and Aerospace Technology 89, no. 6 (2017): 871–78. http://dx.doi.org/10.1108/aeat-01-2016-0019.

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Purpose This paper aims to analyze the influence of the changings in geometrical parameters on the aerodynamic performance of the control canard projectiles. Design/methodology/approach Because of the mentioned point, the range of projectiles increment has a considerable importance, and the design algorithm of a control canard projectile was first written. Then, were studied the effects of canard geometric parameters such as aspect ratio, taper ratio and deflectable nose on lift to drag coefficient ratio, static margin based on the slender body theory and cross section flow. Findings The code

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Xu, Zhao, Jinwen Hu, Yunhong Ma, Man Wang, and Chunhui Zhao. "A Study on Path Planning Algorithms of UAV Collision Avoidance." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 1 (2019): 100–106. http://dx.doi.org/10.1051/jnwpu/20193710100.

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The unmanned aerial vehicle (UAV) has been a research hotspot worldwide. The UAV system is developing to be more and more intelligent and autonomous. UAV path planning is an important part of UAV autonomous control and the important guarantee of UAV's safety. For the purpose of improving the collision avoidance and path planning algorithms, the artificial potential field, fuzzy logic algorithm and ant colony algorithm are simulated respectively in the static obstacle and dynamic obstacle environments, and compared based on the minimum avoidance distance and range ratio. Meanwhile, an improved

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Anumay Kumar and Amrik Singh. "Numerical Optimization of a Radial Inflow Turbine Based on a Loss Model of a Cryogenic Turboexpander Using the Slime Mould Algorithm." Defence Science Journal 75, no. 4 (2025): 512–19. https://doi.org/10.14429/dsj.19832.

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The major component of the cryogenic turboexpander is the radial inflow turbine; thus, improvements in its design and performance are effective for the system. The inspirations of six design parameters, including velocity ratio, inlet and outlet impeller diameters, mass flow rate, and blade height, are examined in the context of the total-to-static efficiency of the RIT turbine cryogenic turboexpander. A 1-D design of the radial-inflow turbine has been implemented through MATLAB 2020. In this paper, A novel artificial intelligence system slime mould algorithm (SMA) was employed for the numeric

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Kumar, Bibhuti Bhusan. "Two Legs Voltage Source Converter with DSTATCOM, T-Connected Transformer for Power Quality Improvement." Journal of Advanced Research in Power Electronics and Power Systems 07, no. 03 (2020): 22–26. http://dx.doi.org/10.24321/2456.1401.202007.

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The numerous loads can impact the working environment and performance of the source apparatus. Hence, the reimbursement of this current will help in enhancing the presentation of the power system apparatus. This paper presents the strategy and employment of a Distribution Static Compensator (DSTATCOM) with the T-Connected transformer for compensation of load neutral current in the presence of three-phase unbalanced linear load. There are different types of control strategy in that one of the best methods is the unit vector template method-based control algorithm has been implemented for the co

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T., Praveen Kumar, Ganapathy S., and Manikandan M. "Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network." Electrical Engineering & Electromechanics, no. 2 (April 18, 2022): 69–77. https://doi.org/10.20998/2074-272X.2022.2.10.

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<strong><em>Purpose.</em></strong> <em>This article proposes a new control strategy for static synchronous compensator in utility grid system. The proposed photovoltaic fed static synchronous compensator is utilized along with recurrent neural network based reference voltage generation is presented in grid system network.<strong> The novelty</strong> of the proposed work consists in presenting a Landsman converter enhanced photovoltaic fed static synchronous compensator with recurrent neural network algorithm, to generate voltage and maintain the voltage-gain ratio.<strong>&nbsp

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Vakhnin, Aleksei, and Evgenii Sopov. "A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems." Algorithms 15, no. 12 (2022): 451. http://dx.doi.org/10.3390/a15120451.

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Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algorithm in solving high-dimensional optimization problems. However, the performance of cooperative coevolution approaches for LSGO depends significantly on the problem decomposition, namely, on the number of subcomponents and on how variables are grouped in these subcomponents. Also, the choice of the population size is still an open question for popu

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Abu Bakar, Asfarina, Chang Yii Chai, Kui Fern Chin, et al. "Comparative Analysis of Segmented Correlation Trimmed Mean Algorithm for Locating Random and Static Partial Discharges in Power Cables." Journal of Advanced Research in Applied Sciences and Engineering Technology 57, no. 4 (2024): 199–209. https://doi.org/10.37934/araset.57.4.199209.

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Power cable monitoring for partial discharge (PD) source is a crucial act to identify the cable’s insulation weakness before the cable breakdown. Recently segmented correlation trimmed mean (SCTM) algorithm had been applied to double-end PD measurement method. The algorithm showed significant improvement in performance when applied to PD source localization on power cables. However, the previous research study only focuses on the performance of the SCTM algorithm for static PD localization. This paper employs a random PD model to evaluate the accuracy of the SCTM algorithm in detecting PD sour

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Deepa, S., S. Praba, V. Deepalakshmi, L. Jayaprakash, and M. Manimurugan. "A Fuzzy Ga Based STATCOM for Power Quality Improvement." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 1 (2017): 483. http://dx.doi.org/10.11591/ijpeds.v8.i1.pp483-491.

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This paper deals with various power issues such as voltage sag, swell, harmonics, and surges using static synchronous compensator (STATCOM).The conventional controller suffers from uncertain parameters and non-linear qualities. However they are computationally inefficient extending to optimize the fuzzy controller (FC) parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a genetic algorithm (GA) based Fuzzy controller parameter optimization is presented in this paper. The GA algorithm is used to find the optimal fuzzy par

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Deepa, S., K. P. Nithya, C. S. Ajin Sekar, and V. Deepalakshmi. "A Fuzzy GA Based STATCOM for Power Quality Improvement." International Journal of Advances in Applied Sciences 6, no. 3 (2017): 235. http://dx.doi.org/10.11591/ijaas.v6.i3.pp235-243.

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<p>This paper deals with various power issues such as voltage sag, swell, harmonics, and surges using static synchronous compensator (STATCOM).The conventional controller suffers from uncertain parameters and non-linear qualities. However they are computationally inefficient extending to optimize the fuzzy controller (FC) parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a genetic algorithm (GA) based Fuzzy controller parameter optimization is presented in this paper. The GA algorithm is used to find the optimal

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Yin, Jun, Fei Wu, Hao Su, Peng Huang, and Yuetong Qixuan. "Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation." Sensors 25, no. 13 (2025): 4199. https://doi.org/10.3390/s25134199.

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The Segment Anything Model 2 (SAM2) has achieved state-of-the-art performance in pixel-level object segmentation for both static and dynamic visual content. Its streaming memory architecture maintains spatial context across video sequences, yet struggles with long-term tracking due to its static inference framework. SAM 2’s fixed temporal window approach indiscriminately retains historical frames, failing to account for frame quality or dynamic motion patterns. This leads to error propagation and tracking instability in challenging scenarios involving fast-moving objects, partial occlusions, o

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Mittal, Anupam, Ruchi Aggarwal, and Sapinder Kaur. "Analysis of energy efficient connected target coverage algorithm for static and dynamic nodes in IWSNs." International Journal of Advances in Intelligent Informatics 2, no. 2 (2016): 94. http://dx.doi.org/10.26555/ijain.v2i2.65.

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Today breakthroughs in wireless technologies have greatly spurred the emergence of industrial wireless sensor networks (IWSNs).To facilitate the adaptation of IWSNs to industrial applications, concerns about networks full coverage and connectivity must be addressed to fulfill reliability and real time requirements. Although connected target coverage algorithms have been studied notice both limitations and applicability of various coverage areas from an industry viewpoint. In this paper is discuss the two energy efficiency connected target coverage (CTC) algorithms CWGC(Communication Weighted G

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Keskes, Salma, Wissem Bahloul, and Mohamed Ben Ali Kammoun. "Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm." International Journal of Modern Nonlinear Theory and Application 03, no. 03 (2014): 113–23. http://dx.doi.org/10.4236/ijmnta.2014.33013.

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Fuladi, Shubhendu Kshitij, and Chang-Soo Kim. "Dynamic Events in the Flexible Job-Shop Scheduling Problem: Rescheduling with a Hybrid Metaheuristic Algorithm." Algorithms 17, no. 4 (2024): 142. http://dx.doi.org/10.3390/a17040142.

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In the real world of manufacturing systems, production planning is crucial for organizing and optimizing various manufacturing process components. The objective of this paper is to present a methodology for both static scheduling and dynamic scheduling. In the proposed method, a hybrid algorithm is utilized to optimize the static flexible job-shop scheduling problem (FJSP) and dynamic flexible job-shop scheduling problem (DFJSP). This algorithm integrates the genetic algorithm (GA) as a global optimization technique with a simulated annealing (SA) algorithm serving as a local search optimizati

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Hasanvand, Saeed, Hossein Fallahzadeh-Abarghouei, and Esmaeil Mahboubi-Moghaddam. "Power system security improvement using an OPA model and IPSO algorithm." SIMULATION 96, no. 3 (2019): 325–35. http://dx.doi.org/10.1177/0037549719886356.

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The growing demand for power generation makes power systems increasingly more complex to operate and less secure against outages, so the risk of extensive blackouts is growing and needs to be addressed. Cascading failures are the main reason for extensive blackouts, so to investigate this effect a new method including a standard blackout model, named ORNL-PSerc-Alaska (OPA), and static synchronous series compensator (SSSC) placement using an improved particle swarm optimization (IPSO) algorithm is proposed. This study provides two optimization approaches and presents optimal corrective actions

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Zelenova, Sofya Anatolyevna ZELENOVA. "Static Memory Allocation for Real-Time Operating Systems." Proceedings of the Institute for System Programming of the RAS 36, no. 3 (2024): 35–48. http://dx.doi.org/10.15514/ispras-2024-36(3)-3.

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Critical real-time operating system (RTOS) reliability improvement remains to be a relevant and demanding task. The use of detailed requirements provided by the developers introduces new opportunities in this direction through the memory management facilities. In this paper we present a new approach of static memory allocation in real-time systems with robust memory space partitioning. We propose to design a static memory layout tool based on the formal description of the project memory requirements. The proposed formal requirements are platform agnostic and are based only on the needs of the

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Jebaraj, Luke, Charles Christober Asir Rajan, and Kumar Sriram. "Application of Firefly Algorithm in Voltage Stability Environment Incorporating Circuit Element Model of SSSC with Variable Susceptance Model of SVC." Advances in Electrical Engineering 2014 (April 24, 2014): 1–11. http://dx.doi.org/10.1155/2014/349787.

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This paper proposes an application of firefly algorithm (FA) based extended voltage stability margin and minimization of active (or) real power loss incorporating Series-Shunt flexible AC transmission system (FACTS) controller named as static synchronous series compensator (SSSC) combined with static var compensator (SVC). A circuit model of SSSC and variable susceptance model of SVC are utilized to control the line power flows and bus voltage magnitudes, respectively, for real power loss minimization and voltage stability limit improvement. The line quality proximity index (LQP) is used to as

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Hassan, Raaed Faleh, and Suha Sabah Shyaa. "Design and Analysis of the STATCOM Based on Diode Clamped Multilevel Converter Using Model Predictive Current Control Strategy." European Journal of Electrical Engineering 23, no. 3 (2021): 221–28. http://dx.doi.org/10.18280/ejee.230306.

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In recent decades, multi-level converters have become popular and used in many power systems applications. Compared with conventional converters, multi-level converters contribute to reducing the voltage stress on the switching devices and enhancing the power quality delivered to the load. In this paper, the study of the five-level diode clamped multilevel converter based static synchronous compensator has been accomplished. Model Predictive current control strategy which a type of modern control algorithms was employed for driving the proposed compensator. The suggested five level converter c

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Kuo, Tai Wei, Chun Hung Richard Lin, and Ying Chih Lin. "Partial Bit Strings Pruning Channel Assignment in Multi-Rate Multi-Channel Wireless Networks." Applied Mechanics and Materials 284-287 (January 2013): 2860–66. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2860.

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IEEE 802.11 based wireless networks are extensively used in mesh, ad hoc, and sensor networks due to less expense and easier deployment. IEEE 802.11a/b/g standard supports multi-rate and multi-channel settings to facilitate network transmissions. Many researchers focus on maximizing network throughput and propose channel assignment algorithms in IEEE based multi-rate multi-channel (M2) wireless networks. Less works are devoted to the study of network capacity in M2 wireless networks. In our observation, static channel assignment algorithms for maximizing network throughput may limit network ca

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Yelamarthi, Kumar, and Chien-In Henry Chen. "Dynamic CMOS Load Balancing and Path Oriented in Time Optimization Algorithms to Minimize Delay Uncertainties from Process Variations." VLSI Design 2010 (March 7, 2010): 1–13. http://dx.doi.org/10.1155/2010/230783.

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The complexity of timing optimization of high-performance circuits has been increasing rapidly in proportion to the shrinking CMOS device size and rising magnitude of process variations. Addressing these significant challenges, this paper presents a timing optimization algorithm for CMOS dynamic logic and a Path Oriented IN Time (POINT) optimization flow for mixed-static-dynamic CMOS logic, where a design is partitioned into static and dynamic circuits. Implemented on a 64-b adder and International Symposium on Circuits and Systems (ISCAS) benchmark circuits, the POINT optimization algorithm h

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Duraisamy, Prasanth, and Arul Ponnusamy. "Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 55. http://dx.doi.org/10.11591/ijape.v6.i2.pp55-62.

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The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of flexible AC transmission system (FACTS) devices static var compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.

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Duraisamy, Prasanth, and Arul Ponnusamy. "Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 56. http://dx.doi.org/10.11591/ijape.v6.i2.pp56-63.

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The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of Flexible AC Transmission System (FACTS) devices Static Var Compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.

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Ananya, Maurya, Yadav Aayushi, and Baiswar Ashish. "Pathfinding visualizer." i-manager’s Journal on Software Engineering 16, no. 4 (2022): 24. http://dx.doi.org/10.26634/jse.16.4.18801.

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Visualizations of algorithms contribute to improving computer science education. The process of teaching and learning of algorithms is sometimes, complex and hard to understand problem. Visualization is a useful technique for learning and analyzing any algorithm easily. Pathfinding refers to computing an optimal route between the specified start and goal nodes. It is an important research topic in the area of Artificial Intelligence with applications in fields such as GPS, Real-Time Strategy Games, Robotics, logistics while implemented in static or dynamic or real-world scenarios. Recent devel

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Yao, Lan, Fu Xiang Gao, and Lin Cong. "Research on Static Game Theory Based Secure Routing Algorithm in WSN." Applied Mechanics and Materials 571-572 (June 2014): 1030–36. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1030.

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In deep research and analysis on WSN security routing protocols and according to the rational development trend of the sensor nodes, this paper proposes a new WSN security routing protocol based on the theory of the static game—GBR. GBR describes the interactions in a static game model using rational characteristics of nodes. When selecting the forwarding node, neighboring nodes decide whether to participate in forwarding data through game, and prevent the destruction of malicious nodes by calculating the utility function. They control and adjust the game process and results through incentive

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Raghunatha, R. "Optimal static voltage stability improvement using a numerically stable SLP algorithm, for real time applications." International Journal of Electrical Power & Energy Systems 21, no. 4 (1999): 289–97. http://dx.doi.org/10.1016/s0142-0615(98)00048-9.

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Alharbi, Abdullah M., Sulaiman Z. Almutairi, Ziad M. Ali, Shady H. E. Abdel Aleem, and Mohamed M. Refaat. "Enhancing Power Quality in Decentralized Hybrid Microgrids: Optimized DSTATCOM Performance Using Cascaded Fractional-Order Controllers and Hybrid Optimization Algorithms." Fractal and Fractional 8, no. 10 (2024): 589. http://dx.doi.org/10.3390/fractalfract8100589.

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At present, the integration of microgrids into power systems presents significant power quality challenges in terms of the rising adoption of nonlinear loads and electric vehicles. Ensuring the stability and efficiency of the electrical network in this evolving landscape is crucial. This paper explores the implementation of cascading Proportional–Integral (PI-PI) and cascading Fractional-Order PI (FOPI-FOPI) controllers for a Distribution Static Compensator (DSTATCOM) in hybrid microgrids that include photovoltaic (PV) systems and fuel cells. A novel hybrid optimization algorithm, WSO-WOA, is

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