This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises...This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises and conducts an in-depth analysis of the problems and influencing factors related to the social responsibility aberrations of online audiovisual enterprises. Drawing upon social responsibility theory and collaborative governance theory, this research constructs a social responsibility guidance and governance system guided by the public, supported by the voluntary fulfillment of responsibilities by online audiovisual enterprises, and based on the collaborative participation of diverse stakeholders. It explores and optimizes the implementation pathways of this system, providing theoretical support and practical guidance for promoting the sustainable development of online audiovisual enterprises. Furthermore, it aims to contribute to the creation of a harmonious Internet ecosystem.展开更多
This paper proposes an online framework to characterize demand response(DR)over time.The proposed framework facilitates obtaining and updating the daily consumption patterns of customers.The essential concept of respo...This paper proposes an online framework to characterize demand response(DR)over time.The proposed framework facilitates obtaining and updating the daily consumption patterns of customers.The essential concept of response profile class(RPC)is introduced for characterization and complemented by the measure of the variability in customer behavior.This paper uses a modified version of the incremental clustering by fast search and find of density peaks(CFSFDP)algorithm for daily profiles,considering the multivariate normal kernel density estimator and incremental forms of the Davies-Bouldin(i DB)and Xie-Beni(i XB)validity indices.Case studies conducted using real-world and simulated daily profiles of residential and commercial Chilean end-users have demonstrated how the proposed framework can continuously characterize DR.The proposed framework is proven to achieve realistic customer models for effective energy management by estimating the customer response to price signals at the distribution system operator(DSO)level.展开更多
The displacement of transmission tower feet can seriously affect the safe operation of the tower,and the accuracy of structural health monitoring methods is limited at the present stage.The application of deep learnin...The displacement of transmission tower feet can seriously affect the safe operation of the tower,and the accuracy of structural health monitoring methods is limited at the present stage.The application of deep learning method provides new ideas for structural health monitoring of towers,but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning(DL).In this paper,we propose a DT-DL based tower foot displacement monitoring method,which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method.Then the vibration signal visualization and Data Transfer(DT)are used to add tower fault data samples to solve the problem of insufficient actual data quantity.Subsequently,the dynamic response test is carried out under different tower fault states,and the tower fault monitoring is carried out by the DL method.Finally,the proposed method is compared with the traditional online monitoring method,and it is found that this method can significantly improve the rate of convergence and recognition accuracy in the recognition process.The results show that the method can effectively identify the tower foot displacement state,which can greatly reduce the accidents that occurred due to the tower foot displacement.展开更多
For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to bo...For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to both positive and negative reviews.But do these responses change anything?And,if so,which types of responses are the most effective for strengthening customer relationship and increasing the chances of repeat business?With two surveys and a series of partial least squares-structural equation modeling(PLS-SEM)analyses,we tested three releva nt hypotheses to an swer these questions.The results show that when busi ness replies to online reviews with promotional information,consumers perceive the seller to be self-interested,and both relati on ship quality and repurchase intenti on decrease.However,sincere responses that do not contain promotional information,such as gratitude and apology,are highly correlated to positive relationship quality and the likelihood of future repeat business.These findings enrich the academic literature on on line reviews,and the recommendations stemming from our results should be of interest to any business that relies on their online reputation for survival.展开更多
文摘This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises and conducts an in-depth analysis of the problems and influencing factors related to the social responsibility aberrations of online audiovisual enterprises. Drawing upon social responsibility theory and collaborative governance theory, this research constructs a social responsibility guidance and governance system guided by the public, supported by the voluntary fulfillment of responsibilities by online audiovisual enterprises, and based on the collaborative participation of diverse stakeholders. It explores and optimizes the implementation pathways of this system, providing theoretical support and practical guidance for promoting the sustainable development of online audiovisual enterprises. Furthermore, it aims to contribute to the creation of a harmonious Internet ecosystem.
基金supported in part by the National Agency for Research and Development(ANID)(No.ANID-PFCHA/Doctorado-Nacional/21202246)the partial support of ANID under Grant Fondap SERC(No.15110019)。
文摘This paper proposes an online framework to characterize demand response(DR)over time.The proposed framework facilitates obtaining and updating the daily consumption patterns of customers.The essential concept of response profile class(RPC)is introduced for characterization and complemented by the measure of the variability in customer behavior.This paper uses a modified version of the incremental clustering by fast search and find of density peaks(CFSFDP)algorithm for daily profiles,considering the multivariate normal kernel density estimator and incremental forms of the Davies-Bouldin(i DB)and Xie-Beni(i XB)validity indices.Case studies conducted using real-world and simulated daily profiles of residential and commercial Chilean end-users have demonstrated how the proposed framework can continuously characterize DR.The proposed framework is proven to achieve realistic customer models for effective energy management by estimating the customer response to price signals at the distribution system operator(DSO)level.
基金supported by the Key Projects of Shaanxi Province Key R&D Program(2018ZDXM-GY-040)supported by Natural Science Foundation of Shaanxi Province,Basic Research Program Project(2019JQ-843)supported by Graduate Scientific Innovation Fund for Xi’an Polytechnic University(chx2023012).
文摘The displacement of transmission tower feet can seriously affect the safe operation of the tower,and the accuracy of structural health monitoring methods is limited at the present stage.The application of deep learning method provides new ideas for structural health monitoring of towers,but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning(DL).In this paper,we propose a DT-DL based tower foot displacement monitoring method,which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method.Then the vibration signal visualization and Data Transfer(DT)are used to add tower fault data samples to solve the problem of insufficient actual data quantity.Subsequently,the dynamic response test is carried out under different tower fault states,and the tower fault monitoring is carried out by the DL method.Finally,the proposed method is compared with the traditional online monitoring method,and it is found that this method can significantly improve the rate of convergence and recognition accuracy in the recognition process.The results show that the method can effectively identify the tower foot displacement state,which can greatly reduce the accidents that occurred due to the tower foot displacement.
基金supported by the Youth Program of National Natural Science Foundation of China[7200020259]National Natural Science Foundation of China[71672008]Shuimu Scholar Program of Tsinghua University.
文摘For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to both positive and negative reviews.But do these responses change anything?And,if so,which types of responses are the most effective for strengthening customer relationship and increasing the chances of repeat business?With two surveys and a series of partial least squares-structural equation modeling(PLS-SEM)analyses,we tested three releva nt hypotheses to an swer these questions.The results show that when busi ness replies to online reviews with promotional information,consumers perceive the seller to be self-interested,and both relati on ship quality and repurchase intenti on decrease.However,sincere responses that do not contain promotional information,such as gratitude and apology,are highly correlated to positive relationship quality and the likelihood of future repeat business.These findings enrich the academic literature on on line reviews,and the recommendations stemming from our results should be of interest to any business that relies on their online reputation for survival.
