An EKF-Based Performance Enhancement Scheme for Stochastic Nonlinear Systems by Dynamic Set-Point Adjustment

Zheng

et al. 2021

In the V2G network, the release and sharing of real-time data are of great value for data mining. However, publishing these data directly to service providers may reveal the privacy of users. Therefore, it is necessary that the data release model with a privacy protection mechanism protects user privacy in the case of data utility. In this paper, we propose a privacy protection mechanism based on differential privacy to protect the release of data in V2G networks. To improve the utility of the data, we define a variable sliding window, which can dynamically and adaptively adjust the size according to the data. Besides, to allocate the privacy budget reasonably in the variable window, we consider the sampling interval and the proportion of the window. Through experimental analysis on real data sets, and comparison with two representative w event privacy protection methods, we prove that the method in this paper is superior to the existing schemes and improves the utility of the data.

Section: Related Workmentioning

confidence: 99%

Differential privacy EV charging data release based on variable window

Qiu

Zheng

et al. 2021

“…With the continuous development of HRI research, industrial robots have been able to interact with humans accurately and self-adaptively. Some advanced control systems (Zhang, Hu & Gow, 2020) and algorithms (Tang, Zhang & Hu, 2020) have been proposed as Industrial robots provide reliable support for completing interactive tasks in an industrial environment. However, as HSRs began to enter the service industry, some research cases began to discover that there are still problems with the interaction of HSRs in the social environment.…”

Section: Related Workmentioning

confidence: 99%

Service humanoid robotics: a novel interactive system based on bionic-companionship framework

Yang

Chew

2021

At present, industrial robotics focuses more on motion control and vision, whereas humanoid service robotics (HSRs) are increasingly being investigated and researched in the field of speech interaction. The problem and quality of human-robot interaction (HRI) has become a widely debated topic in academia. Especially when HSRs are applied in the hospitality industry, some researchers believe that the current HRI model is not well adapted to the complex social environment. HSRs generally lack the ability to accurately recognize human intentions and understand social scenarios. This study proposes a novel interactive framework suitable for HSRs. The proposed framework is grounded on the novel integration of Trevarthen’s (2001) companionship theory and neural image captioning (NIC) generation algorithm. By integrating image-to-natural interactivity generation and communicating with the environment to better interact with the stakeholder, thereby changing from interaction to a bionic-companionship. Compared to previous research a novel interactive system is developed based on the bionic-companionship framework. The humanoid service robot was integrated with the system to conduct preliminary tests. The results show that the interactive system based on the bionic-companionship framework can help the service humanoid robot to effectively respond to changes in the interactive environment, for example give different responses to the same character in different scenes.

“…Each particle in DE corresponds to a solution vector, and the main process is composed of three steps: mutation, crossover, and selection. DE algorithm has many advantages, such as robustness, reliability, simple algorithm structure and few control parameters, etc., and it has been widely applied in global optimization ( Zhao et al, 2020 ; Ge et al, 2017 ), artificial intelligence ( Zhao et al, 2021 ; Tang, Zhang & Hu, 2020 ), bioinformatics ( Zhang et al, 2020a ), signal processing ( Yin et al, 2020 ; Zhang et al, 2017 ), machine design ( Zhou et al, 2018 ), and other fields ( Ren et al, 2019 ; Tang et al, 2020b ). Generation strategy of trial vector and setting method of control parameters will greatly affect the performance of DE algorithm.…”

Section: Introductionmentioning

confidence: 99%

X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution

Yang

et al. 2021

Global routing is an important link in very large scale integration (VLSI) design. As the best model of global routing, X-architecture Steiner minimal tree (XSMT) has a good performance in wire length optimization. XSMT belongs to non-Manhattan structural model, and its construction process cannot be completed in polynomial time, so the generation of XSMT is an NP hard problem. In this paper, an X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (XSMT-MoDDE) is proposed. Firstly, an effective encoding strategy, a fitness function of XSMT, and an initialization strategy of population are proposed to record the structure of XSMT, evaluate the cost of XSMT and obtain better initial particles, respectively. Secondly, elite selection and cloning strategy, multiple mutation strategies, and adaptive learning factor strategy are presented to improve the search process of discrete differential evolution algorithm. Thirdly, an effective refining strategy is proposed to further improve the quality of the final Steiner tree. Finally, the results of the comparative experiments prove that XSMT-MoDDE can get the shortest wire length so far, and achieve a better optimization degree in the larger-scale problem.