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Journal articles on the topic 'Management controller'
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Soh, Christina, Cecil Eng Huang Chua, and Harminder Singh. "Managing Diverse Stakeholders in Enterprise Systems Projects: A Control Portfolio Approach." Journal of Information Technology 26, no. 1 (2011): 16–31. http://dx.doi.org/10.1057/jit.2010.13.
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While substantial research has examined the control of Information systems (IS) projects, most studies In this area have only examined how one controller manages a single group of controllees. However, many IS projects, especially enterprise systems projects (often initiated by an organization's corporate headquarters, and involving business unit users and consultants), have multiple stakeholders. The corporate headquarters (the project's principal controller) must simultaneously ensure that the various stakeholders are aligned with the project's goals despite their diverse motivations, and that the stakeholders collaborate with each other to achieve project success. Behavior control theory argues that the controller enacts a control portfolio of formal and Informal controls. However, the presence of multiple controllee groups increases the complexity of vertical controller- controllee relationships, the salience of controllee-controllee relationships, and the interaction between these vertical and horizontal relationships. We therefore examined the creation and evolution of the control portfolio In a multi-stakeholder project over a period of 14 months. We found that (1) the principal controller did enact separate controls for the user and consultant groups; (2) there was more than one controller - the principal controller co-existed with subordinate controllers; and (3) controls enacted by the subordinate controllers and other controllees that cut across stakeholder groups required the support of the principal controller.
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Ivanova, Y., R. Bozhilov, and S. Ivanov. "Energy management controller." Agricultural Science and Technology 15, no. 1 (2023): 76–79. http://dx.doi.org/10.15547/ast.2023.01.009.
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Abstract. The idea of designing a controller for electrical energy management is due to the need for energy saving and intelligent management of the consumed energy. The article presents the designed and studied device designed to limit the consumption of electrical energy within one day and the magnitude of the load current in single-phase circuits. Thus, the consumer (household consumer) of electrical energy can use the energy at time and in amount at will, but within pre-set limits. The paper discusses the principle of operation of the device for power consumption management, its main characteristics, and applications.
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Mansour,, Atef M., Khaled N. Faris,, and Essam El-Din Aboul Zahab. "Smart Energy Management controller for a Micro Grid." International Journal of Engineering Research 4, no. 8 (2015): 456–64. http://dx.doi.org/10.17950/ijer/v4s8/811.
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G S, Dr Mamatha, and Lakshminarayana V K. "Automatic Controller Service Package for Tank Water Management." International Journal of Innovative Research in Computer Science & Technology 7, no. 4 (2019): 113–20. http://dx.doi.org/10.21276/ijircst.2019.7.4.2.
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Alsheikh, Rawan S., Etimad A. Fadel, and Nadine T. Akkari. "Distributed Software-Defined Networking Management." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 12, no. 2 (2024): 157–66. http://dx.doi.org/10.14500/aro.11468.
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Distributed software-defined networking (SDN) architecture satisfies the minimum requirements for WANs. The distributed controllers are connected in various topologies, including hierarchical and flat, which include logically centralized, physically distributed, and fully distributed controllers. The distributed SDN architectures are qualitatively explored as a more suitable solution for managing fluctuating networks in large-scale deployments, with the goal of optimizing overall network performance, particularly for applications that can tolerate some level of inconsistency, such as load balancing or routing. The logically centralized, physically distributed SDN controller architecture allows SDN controllers, in conjunction with the deployed SDN applications, to centrally coordinate the network due to the conciliated global network view. That is created through the synchronization process between controllers. However, inter-controller synchronization creates an overhead that affects the system’s performance. Additionally, the amount of inter-controller synchronization is vulnerable to the chosen consistency approach the application can tolerate. Although static eventual consistency is frequently employed in modern SDN systems to provide effective scalability, it is argued that it doesn’t place limits on the state inconsistencies that SDN applications will tolerate. Hence, the adaptive consistency models need to be investigated. The study showed that a flat, logically centralized, physically distributed architecture with an adaptive consistency approach would be more suitable for solving large-scale fluctuating network management considering scalability, reliability, and maximizing performance.
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Wazir, Awadh Ba, Sultan Alghamdi, Abdulraheem Alobaidi, Abdullah Ali Alhussainy, and Ahmad H. Milyani. "Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller." Energies 17, no. 24 (2024): 6402. https://doi.org/10.3390/en17246402.
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A fuzzy cascaded PI−PD (FCPIPD) controller is proposed in this paper to optimize load frequency control (LFC) in the linked electrical network. The FCPIPD controller is composed of fuzzy logic, proportional integral, and proportional derivative with filtered derivative mode controllers. Utilizing renewable energy sources (RESs), a dual-area hybrid AC/DC electrical network is used, and the FCPIPD controller gains are designed via secretary bird optimization algorithm (SBOA) with aid of a novel objective function. Unlike the conventional objective functions, the proposed objective function is able to specify the desired LFCs response. Under different load disturbance situations, a comparison study is conducted to compare the performance of the SBOA-based FCPIPD controller with the one-to-one (OOBO)-based FCPIPD controller and the earlier LFC controllers published in the literature. The simulation’s outcomes demonstrate that the SBOA-FCPIPD controller outperforms the existing LFC controllers. For instance, in the case of variable load change and variable RESs profile, the SBOA-FCPIPD controller has the best integral time absolute error (ITAE) value. The SBOA-FCPIPD controller’s ITAE value is 0.5101, while sine cosine adopted an improved equilibrium optimization algorithm-based adaptive type 2 fuzzy PID controller and obtained 4.3142. Furthermore, the work is expanded to include electric vehicle (EV), high voltage direct current (HVDC), generation rate constraint (GRC), governor dead band (GDB), and communication time delay (CTD). The result showed that the SBOA-FCPIPD controller performs well when these components are equipped to the system with/without reset its gains. Also, the work is expanded to include a four-area microgrid system (MGS), and the SBOA-FCPIPD controller excelled the SBOA-CPIPD and SBOAPID controllers. Finally, the SBOA-FCPIPD controller showed its superiority against various controllers for the two-area conventionally linked electrical network.
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Seamster, Thomas L., John R. Cannon, Richard M. Pierce, and Richard E. Redding. "Analysis of En Route Air Traffic Controller Team Communication and Controller Resource Management (CRM)." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (1992): 66–72. http://dx.doi.org/10.1177/154193129203600117.
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This analysis of en route air traffic controller communication was part of a larger Federal Aviation Administration effort to redesign the training program for en route air traffic control. This presentation concentrates on the analysis and results of the team communications as they relate to Controller Resource Management (CRM). The team controller communication takes place between the radar controller and the radar associate controller as they perform their related tasks in the management of the sector air traffic. This study used an inductive approach to look at communication frequencies across different types of controller teams. The controller teams were manipulated by using different combinations of expert, intermediate, and novice controllers, and these teams were compared under moderate and heavier workloads while managing simulated air traffic. The team communications were coded and analyzed at the speech turn level. Observations, situational inquiry, and answers supplying information combined to make up over half of the speech turns used by the controllers in team communication. A more detailed analysis by controller position and performance identified communication frequencies for the better performing sessions. These results are interpreted in relation to a recent mental model of the en route air traffic controller and are further explained based on results of a study of live traffic team communication. The discussion explores the roles of the team members in maintaining effective CRM.
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Aslam, Muhammad Anique, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani, and Muhammad Khalid. "A Novel Multi Level Dynamic Decomposition Based Coordinated Control of Electric Vehicles in Multimicrogrids." Sustainability 15, no. 16 (2023): 12648. http://dx.doi.org/10.3390/su151612648.
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This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which is comprehensive, generic, modular, and secure in nature, to maximize the utilization of renewable energy sources, while meeting the load demands with the resources available. There are a number of microgrids that are connected to the grid. Each microgrid consists of a number of renewable energy sources, energy storage systems, non-renewable energy sources, electric vehicles, and loads. Each distributed energy source or load is controlled by a microsource controller. All microsource controllers with a similar nature are controlled by a unit controller, and all the unit controllers in a microgrid are controlled by a microgrid controller. There is a single multimicrogrid controller at the top. The proposed control scheme was verified through simulation-based case studies.
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Snider, Eric J., David Berard, Saul J. Vega, et al. "Hardware-in-Loop Comparison of Physiological Closed-Loop Controllers for the Autonomous Management of Hypotension." Bioengineering 9, no. 9 (2022): 420. http://dx.doi.org/10.3390/bioengineering9090420.
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Trauma and hemorrhage are leading causes of death and disability worldwide in both civilian and military contexts. The delivery of life-saving goal-directed fluid resuscitation can be difficult to provide in resource-constrained settings, such as in forward military positions or mass-casualty scenarios. Automated solutions for fluid resuscitation could bridge resource gaps in these austere settings. While multiple physiological closed-loop controllers for the management of hypotension have been proposed, to date there is no consensus on controller design. Here, we compare the performance of four controller types—decision table, single-input fuzzy logic, dual-input fuzzy logic, and proportional–integral–derivative using a previously developed hardware-in-loop test platform where a range of hemorrhage scenarios can be programmed. Controllers were compared using traditional controller performance metrics, but conclusions were difficult to draw due to inconsistencies across the metrics. Instead, we propose three aggregate metrics that reflect the target intensity, stability, and resource efficiency of a controller, with the goal of selecting controllers for further development. These aggregate metrics identify a dual-input, fuzzy-logic-based controller as the preferred combination of intensity, stability, and resource efficiency within this use case. Based on these results, the aggressively tuned dual-input fuzzy logic controller should be considered a priority for further development.
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Pati, Subhranshu Sekhar, Umamani Subudhi, and Sivkumar Mishra. "Robust Frequency Regulation Management System in a Renewable Hybrid Energy Network with Integrated Storage Solutions." Electricity 6, no. 2 (2025): 22. https://doi.org/10.3390/electricity6020022.
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The rapid proliferation of renewable energy sources (RESs) has significantly reduced system inertia, thereby intensifying stability challenges in modern power grids. To address these issues, this study proposes a comprehensive approach to improve the grid stability concerning RESs and load disturbances. The methodology integrates controlled energy storage systems, including ultra-capacitors (UC), superconducting magnetic energy storage (SMES), and battery storage, alongside a robust frequency regulation management system (FRMS). Central to this strategy is the implementation of a novel controller which combines a constant with proportional–integral–derivative (PID) and modified fractional-order (MFO) control, forming 1+MFOPID controller. The controller parameters are optimized using a novel formulation of an improved objective function that incorporates both frequency and time domain characteristics to achieve superior performance. The efficacy of the proposed controller is validated by comparing its performance with conventional PID and fractional-order PID controllers. System stability is further analyzed using eigenvector analysis. Additionally, this study evaluates the performance of various energy storage systems and their individual contributions to frequency regulation, with a particular emphasis on the synergistic benefits of battery storage in conjunction with other storages. Finally, sensitivity analysis is conducted to assess the impact of parameter uncertainties in the system design, reinforcing the robustness of the proposed approach.
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Sendraya Perumal, Angalaeswari, and Jamuna Kamaraj. "Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller." Energies 13, no. 3 (2020): 751. http://dx.doi.org/10.3390/en13030751.
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A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance.
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Alasali, Feras, Stephen Haben, Husam Foudeh, and William Holderbaum. "A Comparative Study of Optimal Energy Management Strategies for Energy Storage with Stochastic Loads." Energies 13, no. 10 (2020): 2596. http://dx.doi.org/10.3390/en13102596.
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This paper aims to present the significance of predicting stochastic loads to improve the performance of a low voltage (LV) network with an energy storage system (ESS) by employing several optimal energy controllers. Considering the highly stochastic behaviour that rubber tyre gantry (RTG) cranes demand, this study develops and compares optimal energy controllers based on a model predictive controller (MPC) with a rolling point forecast model and a stochastic model predictive controller (SMPC) based on a stochastic prediction demand model as potentially suitable approaches to minimise the impact of the demand uncertainty. The proposed MPC and SMPC control models are compared to an optimal energy controller with perfect and fixed load forecast profiles and a standard set-point controller. The results show that the optimal controllers, which utilise a load forecast, improve peak reduction and cost savings of the storage device compared to the traditional control algorithm. Further improvements are presented for the receding horizon controllers, MPC and SMPC, which better handle the volatility of the crane demand. Furthermore, a computational cost analysis for optimal controllers is presented to evaluate the complexity for a practical implementation of the predictive optimal control systems.
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El Zerk, Abdallah, and Mohammed Ouassaid. "Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop." Energies 16, no. 5 (2023): 2244. http://dx.doi.org/10.3390/en16052244.
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This research presents a hierarchical energy management strategy for isolated microgrids (MG). The strategy’s objectives are achieved through a master-slave topology where local controllers are managed and controlled through a central controller. This can provide many technical advantages, particularly regarding the microgrid’s performance and the supply of energy. The local controller is designed to meet the local objectives of the microgrid, such as stabilization of DC voltage and maximization of sources’ extracted power. The objectives of the central controller are achieved through a centralized approach based on fuzzy logic to preserve battery life and manage the energy balance between generation and consumption. The microgrid’s performances were investigated under a steady-state and faulty regime. A Hardware in the Loop (HIL) test based on the Simulink platform is established by RT-LAB real-time simulator. Results are presented to validate the proposed hierarchical control. The OP1400 test bench, based on the OP4150 digital simulator, is utilized to test and validate the proposed hierarchical control strategy. The results are compared to international standards IEEE 1547 and IEC 61727, which demonstrate excellent consistency.
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Anusha, More, Dola Gobinda Padhan, and D. Karuna Kumar. "A Fuzzy Controlled LCC HVDC System with AC Voltage and Reactive Power Control." E3S Web of Conferences 309 (2021): 01190. http://dx.doi.org/10.1051/e3sconf/202130901190.
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The main work focus is on the LCC HVDC reactive power control system with fluid regulated AC voltage. The reactive power and the voltage control capacity of LCC HVDC were examined and demonstrated with controlled condensers. Reactive power control and voltage management have been suggested and associated controllers with variable condensers have been developed on the reverse side of the fuzzy controlled LCC HVDC system. The active corrective side power control is required and a reactive or voltage control has been taken into account in this work. This study looks at the inverter side of the system LCC HVDC with customizable capacitors, reactive power and fluid management of the AC voltage. The usual AC voltage control and PI controller for reactive power is replaced by an injected controller that enhances reaction speed and control. In the MATLAB software with Sim-Power system toolbox, graphs are created using a GUI environment to model the proposed fuzzy-controlled HVDC system.
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Elshenawy, Mahmoud, Ashraf Fahmy, Adel Elsamahy, Shaimaa A. Kandil, and Helmy M. El Zoghby. "Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique." Energies 15, no. 19 (2022): 7026. http://dx.doi.org/10.3390/en15197026.
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Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) consists of a biogas engine coupled with a synchronous generator. Two interconnected AC microgrids, M1 and M2, were considered for study in this work. The microgrid M2 is connected to a diesel engine (DE) characterized by a continuous power supply. The distribution power loss of the interconnected AC microgrids comprises in line loss. The M1 and M2 losses are modeled as an objective function (OF). The power quality enhancement of the interconnected microgrids will be achieved by minimizing this OF. This research also created a unique frequency control method called virtual inertia control (VIC), which stabilizes the microgrid frequency using an optimal controller. In this paper, the following five controllers are studied: a proportional integral controller (PI), a fractional order PI controller (FOPI), a fuzzy PI controller (FPI), a fuzzy fractional order PI controller (FFOPI), and a VIC based on FFOPI controller. The five controllers were tuned using particle swarm optimization (PSO) to minimize the (OF). The main contribution of this paper is the comprehensive study of the performance of interconnected AC microgrids under step load disturbances, step changes in wind/solar input power, and eventually grid following/forming contingencies as well as the virtual inertia control of renewable energy resources used in the structure of the microgrids.
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Ivanova, Y., R. Bozhilov, and S. Ivanov. "Principles of operation of energy management controller." Agricultural Science and Technology 15, no. 2 (2023): 84–88. http://dx.doi.org/10.15547/ast.2023.02.020.
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Abstract. This paper discusses the basic principles of operation of a controller intended to limit the electrical energy consumption. The energy consumer is controlled depending on the amount of energy used, the magnitude of the load current and the pre-set permissible twenty-four-hour limit of electricity. The following possible situations are covered: the consumer has used energy equal to or less than the limit set within a 24-hour period; the consumer has used up the entire energy limit in less than 24 hours; the current through the consumer periodically exceeds the pre-set current limit; and training the consumer to use energy wisely by applying sanctions – temporary disconnections of the power supply. The method for programming and configurating the controller by means of a specialized remote equation is shown.
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Cho, Yon Sang, Sung Jae Jun, and Heung Sik Park. "AGV System with Dual Motor Drive by Distributed Control." Key Engineering Materials 297-300 (November 2005): 2297–302. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2297.
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With the recent progress in flexible manufacturing systems (FMS) in industry, increasing attention has been given to Automatic Guided Vehicle (AGV) systems. An AGV is a self-powered unit for transporting materials between stations without needing to be controlled by an operator. Such a system has several sensors to recognize the external state, and it is designed to travel between stations without external assistance. To manage each device quickly and independently it requires a distributed controller with a main computer as the host, as well as a number of micro-controllers. In this study, an AGV system with dual motor drive was constructed. A Pentium 4 personal computer was set up as the main host for the distributed control, and this communicated with other micro-controllers in the management of the motor. The speed of each motor was also controlled by a micro-controller.
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Dobroszek, Justyna. "Supply chain and logistics controller – two promising professions for supporting transparency in supply chain management." Supply Chain Management: An International Journal 25, no. 5 (2020): 505–19. http://dx.doi.org/10.1108/scm-04-2019-0169.
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Purpose This paper aims to identify the occupational profiles of a logistics and a supply chain (SC) controller, both promising SC professions, examining the required competences and tasks undertaken while taking into account current trends in supply chain management and its wider dimensions. Design/methodology/approach The study used a content analysis based on job advertisements for the position of logistics controller and SC controller. The collected material allowed the construction of an occupational competence mix model in the style of Cheetham and Chivers for the logistics and SC controller, and the identification of the level of competence of both professions, using the model proposed by Czapla. In addition, the analysis of the data was supplemented by use of the Anova test and a radar chart. Findings The SC and logistics controllers have a high degree of similarity in both the meta and core competences areas. Similarities also occur in the case of the analysed groups of tasks undertaken by these professions. Tasks in the areas of “definition” and “maintaining” prevail. The SC controller and the logistics controller are considered “engaged inspirers” because they have reached this level of professional competence. Both these professions can ensure an effective, sustainable and transparent SC through direct cooperation with the SC manager and/or logistics manager. Research limitations/implications This study uses a content analysis based on job advertisements addressed to the German market. These job advertisements are standardized, and therefore, provide only a general outline of the competences and tasks of the SC and logistics controllers. Practical implications The study provides information to practitioners by identifying the competences and tasks assigned to the SC and logistics controllers that are needed to improve the efficiency and transparency of the SC and its management. The research is an incentive for people involved in education to adapt changes in curricula in the business (accounting, controlling and logistics) and engineering (related to logistics) fields of study by creating courses based on SC controlling or/and logistics controlling. Originality/value The study shows the current, necessary changes for SC professionals (e.g. the appointment of a SC controller and/or logistics controller) resulting from changes in business and the challenges for SC management (e.g. transparency and sustainability).
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Tung, Shu Chu, Wu Jeng Li, and Shih Miao Huang. "Home Security Service and Condition Control." Applied Mechanics and Materials 479-480 (December 2013): 661–64. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.661.
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This research creates home security service with social interaction based on a web-based multiple stations supervisory control framework. An Arduino controller is used as a thin-controller to control a home security system. Most control laws are computed in server-side, driving commands are transferred to local controllers for execution. A supervisory control server kept in a company can serve numerous Arduino controllers to provide home security service. The Arduino controller can sense door switch, motion detection, smoke detection, gas detection, CO detection, and an emergency button, and can drive door lock, two relays. Besides, RFID is used to help personnel in/out management and alert enable/disable. The controller reads inputs, uploads input/output data to the supervisory server, executes commands from the server, and drives output continuously. Once a controller is connected to the supervisory server, it can be monitored and controlled remotely. Condition control is proposed for the framework to help program control laws for Arduino controllers. In condition control, conditions are set. When some condition is met, certain actions are taken. There are three types of conditions; time condition, input/output condition, and location condition. And there are three kinds of actions; SMS notification, email notification, and output drive. Conditions, actions and their connections are set by system users in a browser with the help of the supervisory control information management system. The control laws set in the condition control are executed in server-side. User of the home security system can open the read/write rights of his input/output points to other users. With appropriate control law, a motion detection signal of one user can activate the alarm of another user. Therefore, the home security service is not just a security for users home, but a security for a social group.
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Sabah, Noor, Ekhlas Hameed, and Muayed S. AL-Huseiny. "Design of Modified Adaptive PID Controller for Lower Limb Rehabilitation Robot based on Grey Wolf Optimization Algorithm." Webology 19, no. 1 (2022): 295–310. http://dx.doi.org/10.14704/web/v19i1/web19023.
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The traditional Proportional-Integral-Derivative (PID) controller is a feedback control loop that is commonly used in industrial control systems with fixed parameters, whereas the adaptive PID (APID) controller is based on the analysis of traditional PID controllers. It utilizes an online parameter adjustment method built on the state of the system resulting in better system adaptability. In this paper, the APID controller that is suggested by (Ebel, 2011) is used firstly to control a 2-degree of freedom (DOF) lower limb rehabilitation robot. The structure of this controller is then modified to perform a Modified Adaptive PID (MAPID) control in order to improve the efficiency of APID controller and hence improve the performance of the rehabilitation robot. The parameters of APID and the suggested MAPID controllers are optimized by using Grey Wolf Optimization (GWO) algorithm. Linear and non-linear desired trajectories are used to test the performance of the controlled rehabilitation robot. Simulation results show that the obtained performance of the rehabilitation robot is more efficient with the MAPID than with the APID having no overshoot and very small steady state error. The controller has settling time of (0.463) and (0.851) seconds, and rise time of (0.485) and (0.752) seconds respectively for link1 and link2.
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Madrigal Arteaga, Victor Manuel, José Roberto Pérez Cruz, Antonio Hurtado-Beltrán, and Jan Trumpold. "Efficient Intersection Management Based on an Adaptive Fuzzy-Logic Traffic Signal." Applied Sciences 12, no. 12 (2022): 6024. http://dx.doi.org/10.3390/app12126024.
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Traffic signals may generate bottlenecks due to an unfair timing balance. Facing this problem, adaptive traffic signal controllers have been proposed to compute the phase durations according to conditions monitored from on-road sensors. However, high hardware requirements, as well as complex setups, make the majority of these approaches infeasible for most cities. This paper proposes an adaptive traffic signal fuzzy-logic controller which uses the flow rate, retrieved from simple traffic counters, as a unique input requirement. The controller dynamically computes the cycle duration according to the arrival flow rates, executing a fuzzy inference system guided by the reasoning: the higher the traffic flow, the longer the cycle length. The computed cycle is split into different phases proportionally to the arrival flow rates according to Webster’s method for signalization. Consequently, the controller only requires determining minimum/maximum flow rates and cycle lengths to establish if–then mappings, allowing the reduction of technical requirements and computational overhead. The controller was tested through a microsimulation model of a real isolated intersection, which was calibrated with data collected from a six-month traffic study. Results revealed that the proposed controller with fewer input requirements and lower computational costs has a competitive performance compared to the best and most used approaches, being a feasible solution for many cities.
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Lanka, Divya, and Selvaradjou Kandasamy. "Real-Time IoV Task Offloading through Dynamic Assignment of SDN Controllers: Algorithmic Approaches and Performance Evaluation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 290–302. http://dx.doi.org/10.17762/ijritcc.v11i9s.7423.
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Task offloading in Internet of Vehicles (IoV) is very crucial. The widespread use of IoT applications frequently interacts with the cloud, thereby increasing the load on centralized cloud controllers. Centralized network management in cloud infrastructure is not feasible for the latest IoT trends. Decentralized and decoupled network management in Software Defined Networks (SDN) can enhance IoV services. SDN and IoV coupling can better handle task offloading in ubiquitous and dynamic IoV environments. However, appropriate SDN controller assignment and allotment strategies play a prominent role in IoV communication. In this study, we developed algorithms for SDN controller assignment and allotment namely 1) Next Fit Allotment and Assignment of SDN Controller in IoV (NFAAC), 2) Dynamic Bin Packing Allotment and Assignment of SDN Controller in IoV (DBPAAC), and 3) Dynamic Focused and Bidding Allotment and Assignment algorithm of SDN Controller in IoV (DFBAAC). These algorithms were simulated using open-flow switch controllers. The controllers were modeled as Road Side Units (RSU) that can allocate bandwidth and resource requirements to vehicles on the road. Our results show that our proposed algorithm works efficiently for SDN controller assignment and allocation, outperforming the existing work by a significant improvement of 13.5%. The working of the proposed algorithms are verified, tested, and analytically presented in this study.
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Soetedjo, Aryuanto, Yusuf Nakhoda, and Choirul Saleh. "Embedded Fuzzy Logic Controller and Wireless Communication for Home Energy Management Systems." Electronics 7, no. 9 (2018): 189. http://dx.doi.org/10.3390/electronics7090189.
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Energy management systems in residential areas have attracted the attention of many researchers along the deployment of smart grids, smart cities, and smart homes. This paper presents the implementation of a Home Energy Management System (HEMS) based on the fuzzy logic controller. The objective of the proposed HEMS is to minimize electricity cost by managing the energy from the photovoltaic (PV) to supply home appliances in the grid-connected PV-battery system. A fuzzy logic controller is implemented on a low-cost embedded system to achieve the objective. The fuzzy logic controller is developed by the distributed approach where each home appliance has its own fuzzy logic controller. An automatic tuning of the fuzzy membership functions using the Genetic Algorithm is developed to improve performance. To exchange data between the controllers, wireless communication based on WiFi technology is adopted. The proposed configuration provides a simple effective technology that can be implemented in residential homes. The experimental results show that the proposed system achieves a fast processing time on a ten-second basis, which is fast enough for HEMS implementation. When tested under four different scenarios, the proposed fuzzy logic controller yields an average cost reduction of 10.933% compared to the system without a fuzzy logic controller. Furthermore, by tuning the fuzzy membership functions using the genetic algorithm, the average cost reduction increases to 12.493%.
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Rama, S. T., and V. Rajini. "Optimization of Switching Control and Microgrid Energy Management System with Alternate Arm Converter Based on Bacterial Foraging Algorithm." International Transactions on Electrical Energy Systems 2023 (October 18, 2023): 1–35. http://dx.doi.org/10.1155/2023/5585420.
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The global demand of electrical power has increased enormously due to various reasons such as fast-changing and challenging technologies, climatic change, economic growth, and lifestyle of mankind. Due to global warming issues and the depletion of conventional sources of power generation, the utilization of renewable energy sources has drastically increased. So, many challenges exist in integrating the microgrid with AC grid and load. The alternative arm converter (AAC) is among the most innovative converter topologies used in high voltage direct current (HVDC) applications. This research work presents a new control strategy to generate pulses to trigger the switches in the AAC in a proper sequence to obtain a smooth output waveform. The AAC output is controlled by implementing various controllers such as the proportional-integral-derivative (PID) controller, fractional order PID (FOPID) controller, and FOPID controller tuned by metaheuristic algorithm-bacterial foraging optimization technique (BFOT). Also, a comparative analysis is performed based on the spectral analysis of the output voltage obtained. In comparison to other controllers, the FOPID controller optimized by the bacterial foraging optimization technique (BFOT) produced the least total harmonic distortion (THD) of the AAC output voltage. In addition, this paper also discusses about the performance and analysis on the design of an energy management system (EMS) to optimally utilize the energy sources such as PV system, wind system, and battery based on their availability which feed the AAC. The energy management system controls the entire integrated system in association with an integrated CUK-SEPIC converter to fulfil the load demand at the point of common coupling, either from the microgrid or the AC grid. A nine-level AAC model is designed integrating the microgrid, grid, and industrial loads with an energy management system using MATLAB/Simulink. The performance parameters of the entire model are analysed at every stage to provide stabilized output to meet the load demand.
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Rodrigues, A. P., M. Correia, A. Batista, et al. "Intelligent Platform Management Controller for Nuclear Fusion Fast Plant System Controllers." IEEE Transactions on Nuclear Science 58, no. 4 (2011): 1733–37. http://dx.doi.org/10.1109/tns.2011.2159016.
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Palma, Giulia, Leonardo Guiducci, Marta Stentati, Antonio Rizzo, and Simone Paoletti. "Reinforcement Learning for Energy Community Management: A European-Scale Study." Energies 17, no. 5 (2024): 1249. http://dx.doi.org/10.3390/en17051249.
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Efficient management of renewable energy resources is imperative for promoting environmental sustainability and optimizing the utilization of clean energy sources. This paper presents a pioneering European-scale study on energy management within renewable energy communities (RECs). With a primary focus on enhancing the social welfare of the community, we introduce a reinforcement learning (RL) controller designed to strategically manage Battery Energy Storage Systems (BESSs) and orchestrate energy flows. This research transcends geographical boundaries by conducting an extended analysis of various energy communities and diverse energy markets across Europe, encompassing different regions of Italy. Our methodology involves the implementation of an RL controller, leveraging optimal control theory for training and utilizing only real-time data available at the current time step during the test phase. Through simulations conducted in diverse contexts, we demonstrate the superior performance of our RL agent compared to a state-of-the-art rule-based controller. The agent exhibits remarkable adaptability to various scenarios, consistently surpassing existing rule-based controllers. Notably, we illustrate that our approach aligns with the intricate patterns observed in both Italian and European energy markets, achieving performance levels comparable to an optimal controller assuming perfect theoretical knowledge of future data.
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Ding, Qing, Hadi Jahanshahi, Ye Wang, Stelios Bekiros, and Madini O. Alassafi. "Optimal Reinforcement Learning-Based Control Algorithm for a Class of Nonlinear Macroeconomic Systems." Mathematics 10, no. 3 (2022): 499. http://dx.doi.org/10.3390/math10030499.
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Due to the vital role of financial systems in today’s sophisticated world, applying intelligent controllers through management strategies is of crucial importance. We propose to formulate the control problem of the macroeconomic system as an optimization problem and find optimal actions using a reinforcement learning algorithm. Using the Q-learning algorithm, the best optimal action for the system is obtained, and the behavior of the system is controlled. We illustrate that it is possible to control the nonlinear dynamics of the macroeconomic systems using restricted actuation. The highly effective performance of the proposed controller for uncertain systems is demonstrated. The simulation results evidently confirm that the proposed controller satisfies the expected performance. In addition, the numerical simulations clearly confirm that even when we confined the control actions, the proposed controller effectively finds optimal actions for the nonlinear macroeconomic system.
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Qin, Jidong, Jiawei Liu, and Dan Deng. "Absence of ultimate controller and investment efficiency: Evidence from China." PLOS ONE 18, no. 6 (2023): e0287615. http://dx.doi.org/10.1371/journal.pone.0287615.
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In modern enterprises with a separation of powers, the ultimate controller can effectively influence the implementation of corporate strategy and operational management efficiency, as well as improve corporate governance by monitoring and limiting the management entrenchment effect within enterprises. Based on the information pertaining to ultimate controllers disclosed by enterprises in their annual reports, this study empirically tested whether the absence of the ultimate controller impacts investment efficiency using the data of Chinese A-share listed companies from 2007 to 2020. It was found that the investment efficiency of enterprises without ultimate controllers is relatively lower than those with ultimate controllers. This is reflected in the insufficient investment of enterprises without an ultimate controller. Moreover, the effect is more significant when the financial environment, internal governance environment, and external governance environment of firms are worse. The mechanism analysis demonstrated that the absence of an ultimate controller causes a more severe insider agency problem and a significantly higher degree of financing constraints, which leads to underinvestment and reduces investment efficiency of firms. The economic consequence test also found that the inefficient investment caused by the absence of ultimate controllers would damage the future value of enterprises, but would increase managers’ compensation. Overall, this study suggests that ultimate controllers are an important part of a firm’s internal governance, especially for monitoring management behavior and resolving agency conflicts.
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Zolotov, A., A. Sailaubekova, E. Ospanov, and D. Myasoedov. "MANAGEMENT OF COMPLEX TECHNOLOGICAL SYSTEMS UNDER CONDITIONS OF UNCERTAINTY OF INITIAL INFORMATION." Bulletin of Shakarim University. Technical Sciences, no. 3(7) (February 10, 2023): 15–20. http://dx.doi.org/10.53360/2788-7995-2022-1(5)-2.
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One of the promising and effective approaches of the modern control theory of complex technological systems in the conditions of uncertainty caused by the fuzziness of the initial information is an approach based on the use of expert evaluation methods and the theory of fuzzy sets. This article presents a study of the properties of an automatic control system with the use of a pseudo-linear fuzzy PID controller built on the basis of a correction device with phase advance. One of the alternative methods of constructing control and regulation systems for objects that are indistinctly defined from the point of view of classical theory is the use of so-called fuzzy logic controllers. Therefore, the development of fuzzy control controllers based on existing microcontrollers is a very urgent task, since a pseudo-linear fuzzy controller built on the basis of fuzzy sets and fuzzy logical I/O, under the condition of uncertainty of the disturbing effect, is able to provide higher quality indicators of the transient process than a traditional PID controller. As pseudo-linear correction devices (PKU) we use: CU with amplitude suppression, with phase advance and with separate channels for amplitude and phase, since one of the main disadvantages of the PID controller is the presence of phase lag and high sensitivity to interference in the measuring channel.
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Moya, Alexander Paul, Polo Josue Pazmiño, Jacqueline Rosario Llanos, Diego Ortiz-Villalba, and Claudio Burgos. "Distributed Secondary Control for Battery Management in a DC Microgrid." Energies 15, no. 22 (2022): 8769. http://dx.doi.org/10.3390/en15228769.
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This research presents the design and simulation of a distributed secondary control based on a consensus algorithm for the efficient management of an isolated DC microgrid (MG-DC) that secures the distribution of active power according to the capacities of each storage unit, reducing duty cycles and extending its life cycle. The balance of powers is fulfilled through a photovoltaic (PV) generation unit and an energy storage system (ESS) based on batteries. The PV Boost converter has a maximum power point tracking (MPPT) controller based on the perturb and observe (P & O) method. In contrast, a Buck–Boost converter is integrated into each battery, which is bidirectionally controlled through a local controller and a primary droop control that balances the required power at the loads. It produces a voltage deviation on the DC bus. To compensate for this deviation, a distributed secondary control strategy based on consensus is proposed to restore the voltage while managing the power sharing according to the capacities of each battery. It allows for the improvement of its life cycle, which is shown in the state of charge (SOC) index, thus extending its life cycle. The controllers are evaluated for solar re-source changes, load changes, and different storage capacities.
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Mahdizadeh, Fatemeh, and Hamidreza Izadbakhsh. "Adaptive optimal control of the production inventory system in supply chain management with completely unknown dynamics." Management Science Letters 13, no. 4 (2023): 229–34. http://dx.doi.org/10.5267/j.msl.2023.6.005.
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This paper describes the adaptive optimal control of the inventory production system with Weibull-distributed deterioration items. First of all, the dynamic model of the system is presented with all possible disturbances and uncertainties. Then, it is controlled using an adaptive and optimal controller. In this method, by having numerical data from the output of the system without using its dynamic equations, an LQR controller is estimated for it. This is important and practical because in physical systems under significant disturbances and fundamental uncertainties, the dynamic equations of the system will not have the former reliability; And it is possible to change the equations of motion by adding any non-linearity so that the conventional controllers will suffer an error. Finally, it is shown that due to the nature of the system and existing uncertainties, the used method has a clear advantage over other optimal control methods and their application in optimizing the inventory production system in the supply chain.
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Kim, Da Jeong, and Eun Ser Lee. "The VMDC(View, Model, Dispatcher, Controller) Architecture for Products Management." KIPS Transactions:PartD 16D, no. 6 (2009): 881–88. http://dx.doi.org/10.3745/kipstd.2009.16d.6.881.
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Wu, Yu Chi, Meng Jen Chen, Fu Hsiang Chi, Jin Yuan Lin, and Chao Shu Chang. "Digital Power Meter with Demand Control for Residential Energy Management." Advanced Materials Research 562-564 (August 2012): 1767–71. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1767.
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In this paper, an energy-measurement-IC-based digital power meter is developed with demand control function for residential electrical energy management through wireless Zigbee and Internet. Several developed micro-controller-based modules are incorporated into this residential energy management system for demand control, such as infrared-controller module, infrared-learning module, and infrared-controlled switch module. This system can send the measured electricity utilization data through Wireless Sensor Network (WSN) and Internet to the remote server. The user can also control at any time the loads (appliances) at home through any computer or smart phone that is connected to the Internet.
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Reddy, S. Surender. "Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1336. http://dx.doi.org/10.11591/ijece.v8i3.pp1336-1344.
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This paper proposes a methodology to determine the optimal location of Flexible AC Transmission System (FACTS) controllers for Congestion Management (CM) in the restructured electrical power system. An approach to find the optimum placement of Thyristor Controlled Phase Angle Regulators (TCPAR) and Thyristor Controlled Series Compensators (TCSC) has been proposed in this paper. The proposed methodology is based on the sensitivity of transmission loss which a controller is installed. The total system losses and the power flows are considered as the performance indices. The traditional optimal power flow (OPF) problem is modified to include the market players, who will compete and trade simultaneously, ensuring the system operation stays within the security limits. In this paper, pool and bilateral contracts are considered. Here, an integrated methodology is proposed that includes the FACTS Controllers in a bilateral contract framework to maintain the system security and to minimize the deviations from the contractual requirements. The simulation results on IEEE 30 bus system show that the sensitivity factors could be used effectively for the optimal location of FACTS controllers in response to the required objectives.
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S., Surender Reddy. "Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1336–44. https://doi.org/10.11591/ijece.v8i3.pp1336-1344.
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This paper proposes a methodology to determine the optimal location of Flexible AC Transmission System (FACTS) controllers for Congestion Management (CM) in the restructured electrical power system. An approach to find the optimum placement of Thyristor Controlled Phase Angle Regulators (TCPAR) and Thyristor Controlled Series Compensators (TCSC) has been proposed in this paper. The proposed methodology is based on the sensitivity of transmission loss which a controller is installed. The total system losses and the power flows are considered as the performance indices. The traditional optimal power flow (OPF) problem is modified to include the market players, who will compete and trade simultaneously, ensuring the system operation stays within the security limits. In this paper, pool and bilateral contracts are considered. Here, an integrated methodology is proposed that includes the FACTS Controllers in a bilateral contract framework to maintain the system security and to minimize the deviations from the contractual requirements. The simulation results on IEEE 30 bus system show that the sensitivity factors could be used effectively for the optimal location of FACTS controllers in response to the required objectives.
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Heng, Yuming, Minggong Wu, and Xiangxi Wen. "Identifying Key Risk Factors in Air Traffic Controller Workload by SEIR Model." Mathematical Problems in Engineering 2022 (October 19, 2022): 1–12. http://dx.doi.org/10.1155/2022/7600754.
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To address the controller workload with the forecast, the capacity of the air traffic management system is effectively enhanced. It should be based on a specific analysis of the controller workload. In the current controller workload studies, there is no clear means to analyze the process of controller workload development propagation. In this paper, we propose a new method for analyzing the factors influencing the controller workload. This method takes into account the influence of various situations in the actual work of controllers and objectively quantifies the complexity of work conditions. A complex network is constructed by treating various factors as nodes and the complexity relationships between these nodes as edges. The complexity network was then tested using the contagion model. The sum of the number of times of infecting other nodes and being infected in the detection result was defined as the infection capacity of the nodes, and the point with the strongest infection capacity was controlled and analyzed. The results show that the point with the strongest infection capacity is the key factor for the development of controller workload generation. In addition, the analysis of the key factors using a backpropagation neural network shows that the prediction of the controller workload can be made by the key factors. It will provide a new effective method to control controller workload and improve air traffic control capability.
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Kwiatkowski, Adam. "Human Factor in Flight Safety Management." Security Dimensions 40, no. 40 (2022): 22–37. http://dx.doi.org/10.5604/01.3001.0015.8152.
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This article deals with the identification and characterization of the human factor influencing flight safety. The issues discussed in the article were limited to two groups of people: on board of aircraft and ground personnel – controllers operating in towers. The controversial decision of the Polish Air Navigation Agency to introduce a single controller mode at all airports in the country has been taken into account.
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Liqaa Saadi Mezher. "Load Balancing Based Intelligent Software Defined Networking (SDN) Controller." Journal of Information Systems Engineering and Management 10, no. 1s (2024): 57–68. https://doi.org/10.52783/jisem.v10i1s.101.
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The data plane and the control plane are divided by the Software Defined Networking (SDN) paradigm, where an SDN controller governs the operation of the switches it controls while also receiving demand from associated switches. Switches are dynamically controlled by their respective reassigned to be able to distribute the volume of work among controls for SDN. The majority of creative solutions for assignments require a crucial component of collect data regarding switches that need to be reassigned in order to execute load balancing. An individual super controller is utilized data from all switches and gathers information for all controllers, there is a scalability issue that arises as the number of controller’s increases. When assigning switches to controllers in a big network, distances between them can occasionally be a problem. To solve the above problem, this study proposed an intelligent clustering network based on k-means clustering. Under the OpenFlow protocol, Forwarding Table Management Standard Flow Table, and Flow Management, the advantages demonstrate the intelligent network of control concentration. Therefore, the goals were to balance the load by adjusting the cluster node load method and comparing the performance with the traditional controller cluster and single controller. The experimental results reveal that the k-means clustering method proposed in this study can effectively reduce the packet loss rate or delay. And theoretical research shows that our approach delivers a close to ideal result. According to simulation results, our dynamic grouping enhances stable clustering by scaling factor of five, which is significant.
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Areola, R. I., A. O. Adetunmbi, and Thomas O. Okimi. "Intelligent Energy Management System: Harnessing Fuzzy Logic for Charge Control." Journal of Engineering Research and Reports 26, no. 4 (2024): 120–32. http://dx.doi.org/10.9734/jerr/2024/v26i41119.
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Aim: Charge controller that leverages fuzzy logic was developed to enhance the efficiency of traditional charge controllers. A model was constructed and assessed for its performance through MATLAB/Simulink. It allows for flexibility in controlling the variability of renewable energy sources. It also improves the efficiency and lifespan of energy storage systems while minimizing the impact on the grid and environment. 
 Study of the design: The PV system consists of a PV module, PWM inverter, MPPT controller and DC-DC converter which are connected using MATLAB/Simulink environment.
 Methodology: we conducted validation tests to substantiate the advantages of our fuzzy charge controller. The creation of fuzzy rules was based on the system's performance and subsequently translated into precise values with the assistance of a fuzzy inference system. This Research Project was Completed in Two Months.
 Results: Our findings clearly demonstrate that the implementation of fuzzy logic control results in superior charge controller performance. This, in turn, safeguards against battery discharging and overcharging during unpredictable weather conditions.
 Conclusion: These protective measures are made possible through the decision-making capabilities of the DC-DC buck-boost converter, which effectively regulates both the voltage and current output of the PV module.
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Nguyen, Thi Ngoc Thanh. "Concurrency Control in Database Management System." European Journal of Electrical Engineering and Computer Science 5, no. 4 (2021): 76–79. http://dx.doi.org/10.24018/ejece.2021.5.4.352.
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Nowadays, most application software systems are aimed at multi-user environments and simultaneous access to the same database. Therefore, concurrency controllers are an integral part of any database management system. The concurrency controller plays an important role in controlling transactions which perform simultaneous access to the database without conflict. This paper presents an overview and illustration how to use concurrency control in database management system of Microsoft SQL Server.
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Maria, Sartzetaki, Koltsikoglou Ifigeneia, Konstantinidis Theodoros, and Dimitriou Dimitrios. "Interventions for Occupational Stress Management in Air Traffic Providers." Journal of Social and Political Sciences 2, no. 4 (2019): 917–25. https://doi.org/10.31014/aior.1991.02.04.130.
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Last decade, the aviation industry was fast-growing, and air traffic providers are under pressure to manage and accommodate demands for more flights. Therefore, aerospace capacity management is anticipated by the air traffic controller's performance, and it's a key success factor towards air transport industry resilience productivity. On the other hand, air traffic controller tasks are very complicated and high demand, resulting in occupation stress affecting air transport providers employees. This paper deals with the challenges to identify occupational health in the work environment of air traffic providers, focusing on traffic controllers. According to a system of system approach, the key resources of stress are reviewed, and the interventions to manage occupational stress upon the quality of services and human resources performance are highlighted. The paper outputs provide key messages to managers and decision-makers upon stress management to high demanded workplaces and especially regarding air traffic controllers, providing the framework for comparisons with other high demanded occupational conditions.
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Xu, Tao, Chen Chen, Kaiming Hu, and Yi Zhuang. "A Game Model and Fault Recovery Algorithm for SDN Multi-Domain." Sensors 25, no. 1 (2024): 164. https://doi.org/10.3390/s25010164.
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Software-defined networking (SDN) offers an effective solution for flexible management of Wireless Sensor Networks (WSNs) by separating control logic from sensor nodes. This paper tackles the challenge of timely recovery from SDN controller failures and proposes a game theoretic model for multi-domain controllers. A game-enhanced autonomous fault recovery algorithm for SDN controllers is proposed, which boasts fast fault recovery and low migration costs. Taking into account the remaining capacity of controllers and the transition relationships between devices, the target controller is first selected to establish a controller game domain. The issue of mapping the out-of-control switches within the controller game domain to the target controller is transformed into a linear programming problem for solution. A multi-population particle swarm optimization algorithm with repulsive interaction is employed to iteratively evolve the optimal mapping between controllers and switches. Finally, migration tasks are executed based on the optimal mapping results, and the role transition of the target controller is completed. Comparative experimental results demonstrate that, compared to existing SDN controller fault recovery algorithms, the proposed algorithm can balance the migration cost of switches and the load pressure on controllers while reducing propagation delay in SDN controllers, significantly decreasing the fault recovery time.
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Petersen, Holger, Michael Lühn, Anne-Katrin Nuzum, Stefan Schaltegger, and Julius Wenzig. "Controller als Partner im Nachhaltigkeits-Management." Controlling & Management Review 65, no. 3 (2021): 8–15. http://dx.doi.org/10.1007/s12176-021-0375-8.
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Chivu, Catrina, and Cătălin-Iulian Chivu. "Fuzzy vs PID Controller: Design Management." RECENT - REzultatele CErcetărilor Noastre Tehnice 20, no. 2 (2019): 70–76. http://dx.doi.org/10.31926/recent.2019.58.070.
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Jadhav, Anuradha D., and Sreedevi Nair. "Battery Management using Fuzzy Logic Controller." Journal of Physics: Conference Series 1172 (March 2019): 012093. http://dx.doi.org/10.1088/1742-6596/1172/1/012093.
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Frazelle, Jessie. "Opening up the baseboard management controller." Communications of the ACM 63, no. 2 (2020): 38–40. http://dx.doi.org/10.1145/3369758.
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Frazelle, Jessie. "Opening up the Baseboard Management Controller." Queue 17, no. 5 (2019): 5–12. http://dx.doi.org/10.1145/3371595.3378404.
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Wang, Shouhong. "Neural controller for business yield management." Neural Computing & Applications 4, no. 3 (1996): 183–89. http://dx.doi.org/10.1007/bf01414879.
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Kim, Ajung, Minho Park, and Jiman Hong. "Hybrid Booting for Baseboard Management Controller." KIISE Transactions on Computing Practices 29, no. 7 (2023): 332–37. http://dx.doi.org/10.5626/ktcp.2023.29.7.332.
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Romanov, O. I., and H. Yu Burlaka. "SDN NETWORK MANAGEMENT USING RYU CONTROLLER." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 1, no. 1 (2024): 57–65. http://dx.doi.org/10.32782/2663-5941/2024.1.1/09.
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