The proposed ambient air pollution sensing system provide real-time low cost flexible measurement of five most important for human health urban areas air parameters (such as CO, PM 2.5 , CO 2 , temperature, and humidi...
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ISBN:
(数字)9781728171807
ISBN:
(纸本)9781728171814
The proposed ambient air pollution sensing system provide real-time low cost flexible measurement of five most important for human health urban areas air parameters (such as CO, PM 2.5 , CO 2 , temperature, and humidity) and transfer it to higher level applications for analysis and forecasting. Implementation features of developed system and proposed diagrams with their description bring a practical value.
—In the paper, a problem of forecasting promotion efficiency is raised. The authors propose a new approach, using the gradient boosting method for this task. Six performance indicators are introduced to capture the p...
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The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security aud...
The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.
In this paper, a unique combination among probabilistic roadmap, modified ant colony optimization, and third order B-spline curve has been proposed to solve path planning problems?in complex and very complex environme...
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In this paper, a unique combination among probabilistic roadmap, modified ant colony optimization, and third order B-spline curve has been proposed to solve path planning problems?in complex and very complex environments. This proposed approach can be divided into three stages. First stage involves constructing a random roadmap depending on the environment complexity using probabilistic roadmap algorithm. Roadmap can be constructed by distributing N nodes randomly in complex and very complex static environments then pairing these nodes together according to some criteria or conditions. The constructed roadmap contains a huge number of possible random paths that may lead to connecting?the start and the goal points together. Second stage includes finding path within the pre-constructed roadmap. Modified ant colony optimization has been proposed to find or to search the best path between start and goal points, where in addition to the proposed combination, ACO has been modified to increase its ability to find shorter path. Finally, the third stage uses B-spline curve?to smooth and reduce the total length of the found path in the previous stage. The results of the proposed approach ensure?the?feasible?path between start and goal points in complex and very complex environments. Also, the path is guaranteed to be short, smooth, continuous?and safe.
Multibody system dynamics provides a strong tool for the estimation of dynamic performances and the optimization of multisystem robot design. It can be described with differential algebraic equations(DAEs). In this pa...
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Multibody system dynamics provides a strong tool for the estimation of dynamic performances and the optimization of multisystem robot design. It can be described with differential algebraic equations(DAEs). In this paper, a particle swarm optimization(PSO) method is introduced to solve and control a symplectic multibody system for the first time. It is first combined with the symplectic method to solve problems in uncontrolled and controlled robotic arm systems. It is shown that the results conserve the energy and keep the constraints of the chaotic motion, which demonstrates the efficiency, accuracy, and time-saving ability of the method. To make the system move along the pre-planned path, which is a functional extremum problem, a double-PSO-based instantaneous optimal control is introduced. Examples are performed to test the effectiveness of the double-PSO-based instantaneous optimal control. The results show that the method has high accuracy, a fast convergence speed, and a wide range of *** the above verify the immense potential applications of the PSO method in multibody system dynamics.
In the age of big data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. AI ...
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The increasing uptake of inverter based resources (IBRs) has resulted in many new challenges for power system operators around the world. The high level of complexity of IBR generators makes accurate classical model-b...
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This brief addresses the time-varying formation control problem with collision avoidance for second-order multi-agent systems. By taking both distances and velocities between agents into account, a novel collision avo...
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We propose a screen design personalization method for information systems. This method inputs the screen transition diagram of the information system and the user's screen operation history, finds a redundant part...
ISBN:
(数字)9781728151861
ISBN:
(纸本)9781728151878
We propose a screen design personalization method for information systems. This method inputs the screen transition diagram of the information system and the user's screen operation history, finds a redundant part (called redundant operation) from the screen operation history, improves the screen transition diagram so that the operation does not occur, Output. The redundant operation is a series of redundant screen transitions that occur because the data items necessary for data entry must be referred to on the system screen of the information system. Since the redundant operation varies depending on the usage and environment of the user, the screen transition diagram of the output varies depending on the user, and as a result, personalization of the information system is achieved. In this research, we take up the power demand forecasting system. Since regression analysis is used for power demand prediction, it is necessary to adjust many parameters in order to perform appropriate demand prediction. This has led to complex screen transitions in the power demand prediction system. In this study, we personalized the screen design for the power demand forecasting system. The personalized power demand forecasting system can provide screen transitions suitable for the usage environment of the system.
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