Semantic SPA framework for situational student-project allocation in education

The purpose of the MAX-SPA-P problem is to establish stable pairs between students and the projects so that the number of matched students is maximum. The MAX-SPA-P problem has been attracting research attention because the theory of stable matching in the MAX-SPA-P problem is widely applied in the fields of education and economics such as finding matching between students and universities, buyers and sellers, suppliers and carriers, etc or any matching problems which have preference list constraints and the maximum number of matchings. So far, several approaches are proposed to solve this problem such as approximation algorithm, min-conflict search, and local search. However, those approaches still have drawbacks in computation time and solution quality for solving the MAX-SPA-P problem of large sizes. This paper presents a new heuristic search to improve performance to solve the MAX-SPA-P problem of large sizes. Our proposed method is to start from a blank matching, we find a maximum stable matching based on Gale-Shapely’s idea by assigning active students to projects which they prefer most on their rank list. If a project or lecturer is over-subscribed, we define a heuristic function for selecting a suitable student to remove from current matching. This assigning process will stop when all students are inactive. The experimental outcomes confirm the better efficiency of our algorithm than both SPA-P-AP and SPA-P-MCH ones based on computation time and solution quality for solving MAX-SPA-P problem of large sizes.

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“…Besides, Rao et al [15] adapted the SPA problem to develop a semantic web service. Cooper et al [16] researched the MAX-SPA-ST problem.…”

Section: Spa-p Problemmentioning

confidence: 99%

A new heuristics algorithm for solving MAX-SPA-P problem of large sizes

Giang

Thi

Tran

et al. 2022

Preprint

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“…Ultimately, it affects the balanced training of talents, leads to unfair economic development in different regions, and ultimately restricts social equity. erefore, the optimal allocation of higher education resources has become a major issue facing my country's higher education [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Research on the Application of Artificial Intelligence Wireless Network Technology in the Optimization of University Resources

2022

Wireless Communications and Mobile Computing

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With the increase of teaching resources in universities, allocation for teaching resources has gradually attracted people’s attention. How to optimize and reorganize the numerous teaching resources so as to maximize the teaching efficiency and achieve the best teaching effect is a question that the majority of college management workers must think deeply. Due to the development of computer science, artificial neural networks and wireless networks have made considerable progress. This article optimizes the resources of colleges and universities from these two aspects. First, this work proposes an improved artificial neural network to optimize school resources. The algorithm pointed out that the adaptive genetic algorithm itself has problems such as slow evolution speed and poor individual diversity of the population. After that an improved adaptive genetic algorithm is proposed to optimize BP network training process. By introducing individual evolutionary trend adjustment parameters, a new calculation formula for crossover probability as well as mutation probability is constructed. Improved BP algorithm can effectively avoid the shortcomings of local minima. Second, additional momentum and adaptive learning rate strategies are used to optimize BP network to promote the efficiency for network training. Third, the artificial intelligence network is deployed in the wireless network, and the wireless network will complete the work of data collection, processing, and transmission, so as to optimize the resources of colleges and universities.

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“…STATCOM is generally used for injection of reactive power for various objectives. However, when it is provided with energy storage along with a DC converter, it is highly effective as a flexible control device in transmission network [4,5]. The E-STATCOM with provision of energy storage have been applied in power grid of UK for grid operation and improvement of voltage profile [6].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Oscillatory Stability in Wide Area Controlled Systems Using Power Injection

Prakash

Kumar

2020

Wireless Pers Commun

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This paper presents a novel method for determination of location and tuning of parameters of electronic static synchronous compensator (E-STATCOM) for oscillation control in Wide area monitored power systems. The effect of active and reactive power injection by E-STATCOM, on the damping performance of a two-area interconnected system has been studied and analyzed. Dynamic non-linear simulations of the test system with appropriate modeling were carried out for evaluation of performance of the proposed controller design, and to take forward the previous works done on wide area control of power systems. Novel attempt has been made for optimal selection of nodes for positioning E-STATCOMs in multi-machine power system, by considering the participation factor of angular variation of voltage vector in modal analysis. Many operating conditions have been considered for the proposed study under both normal states and contingencies. Results of the simulation indicate that the proposed method is highly effective in suppressing the low frequency oscillations of the targeted modes and performs better than the flexible alternating current transmission system devices without the support of energy storage. This method is also used for cloud application.

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Semantic SPA framework for situational student-project allocation in education

Cited by 7 publications

References 19 publications

A new heuristics algorithm for solving MAX-SPA-P problem of large sizes

A new heuristics algorithm for solving MAX-SPA-P problem of large sizes

Research on the Application of Artificial Intelligence Wireless Network Technology in the Optimization of University Resources

Improvement of Oscillatory Stability in Wide Area Controlled Systems Using Power Injection

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