With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM) algorithms toward developing different modules trained as end-to-end pipelines. However, regardless ...
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This paper introduces a new three-phase AC-AC converter with galvanic isolation, reduced power conversion stages and isolated DC ports. The new converter combines two dual active half-bridge (DAHB) converters with two...
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To develop renewable energies, increasing inverter-based resources (IBRs) are integrated into the grid. In IBRs, multiple inverters are often connected to the point of common coupling (PCC) in parallel and adopt the p...
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This paper presents an allowable-tolerance-based group search optimization(AT-GSO),which combines the robust GSO(R-GSO)and the external quality design planning of the Taguchi ***-GSO algorithm is used to optimize the ...
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This paper presents an allowable-tolerance-based group search optimization(AT-GSO),which combines the robust GSO(R-GSO)and the external quality design planning of the Taguchi ***-GSO algorithm is used to optimize the heat transfer area of the heat exchanger *** R-GSO algorithm integrates the GSO algorithm with the Taguchi method,utilizing the Taguchi method to determine the optimal producer in each iteration of the GSO algorithm to strengthen the robustness of the search process and the ability to find the global *** conventional parameter design optimization,it is typically assumed that the designed parameters can be applied accurately and consistently throughout ***,for systems that are sensitive to changes in design parameters,even minor inaccuracies can substantially reduce overall system ***,the permissible variations of the design parameters are considered in the tolerance-optimized design to ensure the robustness of the *** optimized design of the heat exchanger system assumes that the system’s operating temperature parameters are ***,fixing the systemoperating temperature parameters at a constant value is *** paper assumes that the system operating temperature parameters have an uncertainty error when optimizing the heat transfer area of the heat exchanger *** results show that the AT-GSO algorithm optimizes the heat exchanger system and finds the optimal operating temperature in the absence of tolerance and under three tolerance conditions.
In this letter, it is found that non-minimum-phase zeros of power-synchronization control (PSC), induced by q-axis current injection, only dominate the system in weak grids, with one exception of low converter voltage...
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In numerous application areas such as medical imaging and remote sensing, image compression methods play an important role in managing data storage and transmission costs. In this paper, we present an empirical study ...
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We use a double modulation of both excitation and emission light to correct aberration and image through thick scattering tissue. The approach is noise robust and successfully images weak fluorescent neurons inside br...
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We address the theoretical problem of designing an optimal adversarial attack on a decision system to maximize degradation in system performance, as measured by the mutual information between the degraded signal and t...
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In higher education it is common for students to transfer from one institution to another for various reasons, with the hopes that prior earned credits will be accepted at the intuitions they are transferring into. A ...
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In higher education it is common for students to transfer from one institution to another for various reasons, with the hopes that prior earned credits will be accepted at the intuitions they are transferring into. A typical scenario for transfer students involves those admitted to community colleges planning to later transfer to 4-year universities in order to pursue bachelor's degrees. Research on the transfer process indicates that, on average, transfer students lose credit hours equivalent to one year of coursework. Given the vast number of transfer students nationwide, such significant loss of credit hours represents a significant waste of valuable educational resources that should be avoided in order to improve student success outcomes. However, finding efficient and effective transfer pathways between institutions is challenging, particularly when accounting for program requirements that are constantly changing, students changing their major plans, the creation of new courses, etc. Crafting a suitable plan for transfer students demands expert knowledge, effort, and sometimes collaboration among multiple institutions. Managing all of this complexity manually is partly accountable for the credit loss issue mentioned above. In this paper we consider the role that data and analytics can play in addressing this problem. To gain a deeper understanding of this challenge, we first formally define the Optimal Transfer Pathway (OTP) problem, which involves finding a two-year to four-year degree plan that can be used to satisfy the degree requirements from both a community college and a 4-year university using a minimum number of credit hours. We consider the significant data requirements necessary to solve the OTP problem. These include collecting the Boolean formulas that describe all degree requirements, the courses that may be used to satisfy these requirements, as well as the transfer equivalencies that exist between institutions. The combinatorics associated with
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