Ride-hailing services are emerging as a mode of transportation, necessitating modeling and control methods for efficient management. In this paper, we propose a hierarchical control framework for the optimal positioni...
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ISBN:
(纸本)9798350399462
Ride-hailing services are emerging as a mode of transportation, necessitating modeling and control methods for efficient management. In this paper, we propose a hierarchical control framework for the optimal positioning of idle vehicles for maximizing service level. An economic model predictive controller at the upper layer repositions idle vehicles between urban regions towards balancing interregional responsiveness, while a coverage controller at the lower layer distributes idle vehicles over space towards balancing intraregional responsiveness. Studies on detailed simulations of an urban road network suggest the potential of the method for improving performance.
Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to ...
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ISBN:
(纸本)9798350361261;9798350361278
Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy efficiency and higher reliability. However, these advantages are contingent upon precise channel state information (CSI) availability at the base station (BS). Ensuring precise CSI is challenging due to the constrained size of the coherence interval and the resulting limitations on pilot sequence length. Therefore, reusing pilot sequences in adjacent cells introduces pilot contamination, hindering SE enhancement. This paper reviews recent advancements and addresses research challenges in mitigating pilot contamination and improving channel estimation, categorizing the existing research into three broader categories: pilot assignment schemes, advanced signal processing methods, and advanced channel estimation techniques. Salient representative pilot mitigation/assignment techniques are analyzed and compared in each category. Lastly, possible future research directions are discussed.
The performance of students in STEM courses at higher education institutions is examined in depth in this research. The fields of science, technology, engineering, and mathematics (STEM) are becoming increasingly impo...
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ISBN:
(纸本)9798350367782;9798350367775
The performance of students in STEM courses at higher education institutions is examined in depth in this research. The fields of science, technology, engineering, and mathematics (STEM) are becoming increasingly important, and creating effective teaching practices requires an awareness of the elements that affect student success. This research uses a data-driven methodology to analyze performance trends in various STEM fields, finding essential trends and insights that can guide the creation of curricula, teaching strategies, and student support programs. This paper identifies the areas where students' achievements and their inability to understand basic STEM courses. The results provide insight into how introductory courses affect students' academic performance. This paper presents higher education professionals and policymakers with practical insights that help improve student achievements, refine pedagogical approaches, and strengthen STEM education initiatives.
Aiming at the new working conditions of various new types of energy and high proportion of new energy sources connected to the grid, as well as the operation of guaranteed energy co-generation with thermal power as th...
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The presented work falls in the field of modelling the presence of multiple clusters of connected autonomous vehicles (CAVs), i.e., groups of CAVs in traffic flow that, if properly controlled, can positively influence...
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ISBN:
(纸本)9798350399462
The presented work falls in the field of modelling the presence of multiple clusters of connected autonomous vehicles (CAVs), i.e., groups of CAVs in traffic flow that, if properly controlled, can positively influence traffic behavior by acting as actuators of specific control strategies. An extended version of the well-known Cell Transmission Model (CTM) is used as a traffic model, where the cells of a highway stretch are divided into two types: cells with clusters of CAVs and cells without. The classical CTM is used to model the second type of cells, while for the first type we model the presence of a cluster as a moving bottleneck that divides the cell into different parts. The proposed control-oriented traffic model has been tested on a case study based on real traffic data.
Flexflow is an advanced web application designed to provide personalized dietary recommendations tailored to individual needs and health goals. By considering factors such as age, sex, height, weight, activity level, ...
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To address the challenges of target identification, complex equipment collaboration, and slow system response in air defense combat, we employ an intelligent terminal air damage network construction algorithm based on...
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This research study provides an overview of the QR-based Trash Management System, which emerges as a technology- driven process that aims at optimizing processes within the waste management process within urban enviro...
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A multi-tenancy setup with in-memory database solutions in the cloud proves instrumental in optimizing computing resources across diverse tenants, leading to heightened cost efficiency and performance gains. Contempor...
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ISBN:
(纸本)9798331540661;9798331540678
A multi-tenancy setup with in-memory database solutions in the cloud proves instrumental in optimizing computing resources across diverse tenants, leading to heightened cost efficiency and performance gains. Contemporary practices often involve consolidating numerous database workloads onto a unified server to decrease overall operational expenses. In-memory data frameworks are examined concerning data models, compatible workloads, indexing methods, and strategies for managing memory overflow in cloud environment. To deploy different in-memory database model for opting better performance using tenancy model. This research study analyzes the critical role of data integrity within in-memory databases concerning tenant placement, with applications extending to both public and private cloud services in forthcoming paradigms.
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