Parametrized Experience Exchange in Expert - Fellow Swarm Robotic System, Controller Performance Context

Amin, Samy; Ibrahim, Karim Hesham Shaker; Al-naggar, Ahmed N.; Nabil, Ashraf; El-Sadek, Ahmed; Abdelgalil, Mahmoud; Badawi, Ashraf H.

doi:10.2514/6.2017-1066

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…The table -1 contains the data points used in the analysis. how a library would contain the list of books, but it is a possible table existing in the database of an electronic library or e-library (Amin et al, 2017).…”

Section: Comparison Of Algorithm With Other Methodologymentioning

confidence: 99%

“…A smart system could be supporting in helping the administrator for making those decisions. An individual can create system which is composed of rules of thumb where the KM managers in libraries can make those decisions (Amin et al, 2017). While the staff management in hiring, promoting and placing, the smart system would help here and will be helpful during the recruitment process.…”

Section: Role Of Smart Systems In Knowledge Management In Librariesmentioning

confidence: 99%

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The Role of Smart Systems in Enhancing the Performance of Knowledge Management in Libraries Based on the Adoption of Using Expert System and Robots

Qhal¹

2023

J. Professional Business Review

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Purpose: This study aims to enhance the performance of Knowledge management (KM). Additionally, the advantages and the applications of this export system and the smart systems are analyzed. Theoretical framework: Selecting an algorithm isn’t an easy process. With a deep exploration of techniques and algorithms, the appropriate algorithm should be chosen and implemented to ascertain the solution for the problems like analyzing the trend of the business, identifying the age group, and finding the most desired articles and publications. Design/methodology/approach: Contented and Expressive review approaches are implemented to conduct the research. The investigators significantly studied the materials associated with robots and expert systems in the reference to knowledge management in libraries. The results are obtained using the data visualization tool tableau. the Genetic algorithm is also used to analyze the results. Findings: Smart systems are not easy to implement in knowledge management because knowledge management contains a large number of datasets. It has to be categorized first, then needs to be analyzed and the decisions must be taken accordingly. Research, Practical & Social implications: The expert systems and the robots are to be implemented in the KM so the knowledge management will have enhanced performance with the help of the implementation of smart systems. Originality/value: In the study, the Genetic algorithm is used to find the analysis results. This algorithm was chosen because it works well in a noisy environment and is also easy to understand along with this GA is compared with the neural network algorithm.

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Section: Comparison Of Algorithm With Other Methodologymentioning

confidence: 99%

Section: Role Of Smart Systems In Knowledge Management In Librariesmentioning

confidence: 99%

The Role of Smart Systems in Enhancing the Performance of Knowledge Management in Libraries Based on the Adoption of Using Expert System and Robots

Qhal¹

2023

J. Professional Business Review

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show abstract

“…In page 2, paragraph 2, last line replace "generated" with "solved". In page 2, paragraph 2, line 8, after "large workspace" add the following sentence with the respective reference "More than one mobile manipulator can be used cooperatively to achieve a certain task using novel swarm algorithms, [3]." In page 2, Ground Vehicle section, last line, add "The derivation is included as mentioned in [16] for completeness" before reference [16].…”

Section: Correction Noticementioning

confidence: 99%

Correction: Rapid Orbital Motion Emulator (ROME): Kinematics

Seleit

Ketzner

Quebedeaux

et al. 2020

AIAA Scitech 2020 Forum

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“…However, this solution is still partially ineffective with bigger kites, which have heavy non-uniformly distributed weights. This could be solved by using more than one quadcopter, but this leads to a complex swarm robotics problem, which must be solved to secure the connections among the quadcopters and that they will work together in unison serving the same goal [20]. In practice, several companies like Makani, E-kite, Twing Tec, kitemill [7,8] and Skypull SA [6] go for the rigid wing design to simplify the process of vertical take-off and landing (VTOL).…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Transition Phase for an Optimally-Controlled Tethered VTOL Rigid Aircraft for AirborneWind Energy Generation

Rushdi

Hussein²,

Dief

et al. 2020

AIAA Scitech 2020 Forum

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Parametrized Experience Exchange in Expert - Fellow Swarm Robotic System, Controller Performance Context

Cited by 3 publications

References 2 publications

The Role of Smart Systems in Enhancing the Performance of Knowledge Management in Libraries Based on the Adoption of Using Expert System and Robots

The Role of Smart Systems in Enhancing the Performance of Knowledge Management in Libraries Based on the Adoption of Using Expert System and Robots

Correction: Rapid Orbital Motion Emulator (ROME): Kinematics

Simulation of the Transition Phase for an Optimally-Controlled Tethered VTOL Rigid Aircraft for AirborneWind Energy Generation

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