About: Performance improvement is a research topic. Over the lifetime, 2874 publications have been published within this topic receiving 28666 citations.
TL;DR: A literature review on recent applications and design aspects of the intelligent reflecting surface (IRS) in the future wireless networks, and the joint optimization of the IRS’s phase control and the transceivers’ transmission control in different network design problems, e.g., rate maximization and power minimization problems.
Abstract: This paper presents a literature review on recent applications and design aspects of the intelligent reflecting surface (IRS) in the future wireless networks. Conventionally, the network optimization has been limited to transmission control at two endpoints, i.e., end users and network controller. The fading wireless channel is uncontrollable and becomes one of the main limiting factors for performance improvement. The IRS is composed of a large array of scattering elements, which can be individually configured to generate additional phase shifts to the signal reflections. Hence, it can actively control the signal propagation properties in favor of signal reception, and thus realize the notion of a smart radio environment. As such, the IRS’s phase control, combined with the conventional transmission control, can potentially bring performance gain compared to wireless networks without IRS. In this survey, we first introduce basic concepts of the IRS and the realizations of its reconfigurability. Then, we focus on applications of the IRS in wireless communications. We overview different performance metrics and analytical approaches to characterize the performance improvement of IRS-assisted wireless networks. To exploit the performance gain, we discuss the joint optimization of the IRS’s phase control and the transceivers’ transmission control in different network design problems, e.g., rate maximization and power minimization problems. Furthermore, we extend the discussion of IRS-assisted wireless networks to some emerging use cases. Finally, we highlight important practical challenges and future research directions for realizing IRS-assisted wireless networks in beyond 5G communications.
TL;DR: It is demonstrated via simulation results that the opportunistic transmission scheduling scheme is robust to estimation errors and also works well for nonstationary scenarios, resulting in performance improvements of 20%-150% compared with a scheduling scheme that does not take into account channel conditions.
Abstract: We present an "opportunistic" transmission scheduling policy that exploits time-varying channel conditions and maximizes the system performance stochastically under a certain resource allocation constraint. We establish the optimality of the scheduling scheme and also that every user experiences a performance improvement over any nonopportunistic scheduling policy when users have independent performance values. We demonstrate via simulation results that the scheme is robust to estimation errors and also works well for nonstationary scenarios, resulting in performance improvements of 20%-150% compared with a scheduling scheme that does not take into account channel conditions. Last, we discuss an extension of our opportunistic scheduling scheme to improve "short-term" performance.
TL;DR: In this paper, a process-based systematic perspective is employed to build an effective model to measure the holistic performance of complex supply chains, and Fuzzy set theory is introduced to address the real situation in judgment and evaluation processes.
Abstract: Supply chain management has become such a popular topic in modern business management and researches. It brings the revolutionary philosophy and approach to manage the business with the sustained competitiveness. However, the existing performance measurement theory fails to provide its necessary support in strategy development, decision making, and performance improvement. This paper attempts to propose an innovative performance measurement method to contribute to the development of supply chain management. A process‐based systematic perspective is employed to build an effective model to measure the holistic performance of complex supply chains. Fuzzy set theory is introduced to address the real situation in judgment and evaluation processes. The main framework of this method is outlined with some suggestions and a simple example.
TL;DR: In this paper, a smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed.
Abstract: New smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in popularity as a low emission and efficient mode of transport against petroleum-based vehicles. PEV chargers represent sizeable and unpredictable loads, which can detrimentally impact the performance of distribution grids. Utilities are concerned about the potential overloads, stresses, voltage deviations and power losses that may occur in distribution systems from domestic PEV charging activity as well as from newly emerging charging stations. Therefore this study proposes a new SLM control strategy for coordinating PEV charging based on peak demand shaving, improving voltage profile and minimising power losses. Furthermore, the developed SLM approach takes into consideration the PEV owner preferred charging time zones based on a priority selection scheme. The impact of PEV charging stations and typical daily residential loading patterns are also considered. Simulation results are presented to demonstrate the significant performance improvement offered by SLM for a 1200 node test system topology consisting of several low-voltage residential networks populated with PEVs.
TL;DR: Disclosed as mentioned in this paper is a computer system and a method for a computer-based data integration and management processing system that supports an efficient management of employee development, training and performance improvement in a performance-competence based organization.
Abstract: Disclosed is a computer system and a method for a computer-based data integration and management processing system and a method to support an efficient management of employee development, training and performance improvement in a performance-competence based organization. The present invention includes an integrated system that provides an ability to develop training material, career paths or to determine an employee's qualifications and performance. The present invention provides comprehensive support for job and task analysis; learning objective development; standards and processes; objective, reference based test items; examination and evaluations; training program identification and content description; training scheduling; training-evaluation documentation; and reporting. Each job defined in the current system has specific duties, tasks and skills associated with an identified job. Because the specific skills can be represented by accepted standards of certification; the system is able to establish an association between the certifications and employees responsibilities. This association permits the system to instantly identify the level of qualification of any employee and verify that the employee is qualified to perform the duties assigned.