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Dongyuan Li, Chengshuai Li, Zidong Wang, Deqiang Wang, Jianping Xing and Bo Zhang
In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status...
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Dongyuan Li, Chengshuai Li, Zidong Wang, Deqiang Wang, Jianping Xing and Bo Zhang
In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status...
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Saptarshi Sengupta, Sanchita Basak and Richard Alan Peters II
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Paulo Rogério Faustino Matos,Christiano Modesto Penna,Maria Nazareth Landim
Pág. 437 - 459
This paper studies the behavior of the most relevant worldwide stock exchanges indices. The semiparametric time series technique proposed by Phillips and Sul (2007) is used to a panel containing 36 stock exchanges allocated in economies with different de...
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Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang and Junkai Ji
Brain-storm optimization (BSO), which is a population-based optimization algorithm, exhibits a poor search performance, premature convergence, and a high probability of falling into local optima. To address these problems, we developed the adaptive mecha...
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Jan Wislicenus and Nihad E. Daidzic
One of the most difficult steps in estimating the cruise performance characteristics of high-subsonic transport-category turbofan-powered airplanes is the estimation of the transonic wave drag. Modern jet airplanes cruise most efficiently in the vicinity...
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Federica Doni,Silvia Rossetti,Roberto Verona
Pág. 558 - 574
Motivated by the issuance of International Accounting Standard 1 revised, this paper investigates reporting choices on the Comprehensive Income of listed companies from Europe and the USA. This research aims at verifying the effects of the requirements i...
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Siling Feng, Ziqiang Yang and Mengxing Huang
In order to improve the performance of optimization, we apply a hybridization of adaptive biogeography-based optimization (BBO) algorithm and differential evolution (DE) to multi-objective optimization problems (MOPs). A model of multi-objective evolutio...
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Sarfraz Ahmad and Muhammad Junaid Arshad
The purpose of this study is to enhance the performance of Multistream Fast Transmission Control Protocol (TCP) keeping in view the recent web-based applications that are being deployed on long-range, high-speed, and high-bandwidth networks. To achieve t...
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Kai Chen, Zeyu Li, Yiming Chen, Shuming Long, Junsheng Hou, Mengxuan Song and Shuangfeng Wang
In electric vehicles, the battery pack is one of the most important components that strongly influence the system performance. The battery thermal management system (BTMS) is critical to remove the heat generated by the battery pack, which guarantees the...
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Augustine Anane
Pág. Page:43 - 63Abstract
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Andrea Vass, Barnabás Attila Rácz, László Abrankó
Pág. 69 - 73
Monitoring and controlling wide variety of pesticide residues is a crucial challenge of food safety. In our study ultra-performance convergent chromatography (UPC2), as the new generation of supercritical fluid chromatography coupled with ESI-MS/MS syste...
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Sharoon Saleem, Fawad Hussain and Naveed Khan Baloch
Network on Chip (NoC) has emerged as a potential substitute for the communication model in modern computer systems with extensive integration. Among the numerous design challenges, application mapping on the NoC system poses one of the most complex and d...
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George Ioannou, Georgios Alexandridis and Andreas Stafylopatis
Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model. We study, here, the performance of a set of batch selection algorithms, n...
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Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
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Mingze Wang, Changzhu Wei, Jialun Pu and Naigang Cui
This paper presents a novel predefined-time nonsingular tracking control system for a vertical-takeoff horizontal-landing (VTHL) reusable launch vehicle (RLV) in the face of parameter uncertainties, model couplings and external disturbances. Firstly, thi...
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Alexandru-George Rusu, Constantin Paleologu, Jacob Benesty and Silviu Ciochina
The principal issue in acoustic echo cancellation (AEC) is to estimate the impulse response between the loudspeaker and microphone of a hands-free communication device. This application can be addressed as a system identification problem, which can be so...
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Jun Yuan, Jun Li, Anfu Zhang, Xiangdong Zhang and Jia Ran
This paper presents an algorithm structure for an active noise control (ANC) system based on an improved equation error (EE) model that employs the offline secondary path modeling method. The noise of a compressor in a gas station is taken as an example ...
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Qifeng Diao, Jinfeng Zhang, Min Liu and Jiaxuan Yang
Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency. Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees...
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Biqing Ye, Guixin Yu, Yidong Zhang and Gang Li
Aerostatic bearings are considered crucial components that can improve the measurement accuracy of ground simulation tests of space equipment. A structural optimization design method is proposed to enhance the static performance of aerostatic bearings. A...
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