Hongbo Zou - Academia.edu (original) (raw)

Papers by Hongbo Zou

Journal of Information Technology Management, 2015

Today libraries are increasing their use of social media to connect with their users in more inno... more Today libraries are increasing their use of social media to connect with their users in more innovative ways and to "be part of their communities", and promoting library services and events. Social media has thus become a significant platform for libraries to create their participatory services that emphasize greater engagement with their users. However, little empirical investigation into the success of social media use by libraries exists. This paper examines the role of a recently popular social media, Pinterest, in engaging users and focuses on public libraries. Through the metrics mining of Pinterest, the research explores how user engagement strategies are used by libraries on Pinterest and suggest the best strategies for libraries to use to undertake social media initiatives that will engage their users effectively.

Public libraries are increasingly using social media to connect their users in an innovative way.... more Public libraries are increasingly using social media to connect their users in an innovative way. Librarians make use of social media with the purpose of "being part of their communities", or promoting libraries' services and events. Social media has become a significant platform for libraries to create their own participatory services emphasizing engagement with users. However, there has been little empirical investigation into the success of social media use by libraries. In this paper, we study the role of a recently popular social media, Twitter, in engaging users with a focus on public libraries. We use topicmodeling techniques to classify the library user engagement strategies into four categories-literature exhibits, engaging topic, community building, and library showcasing. These four engagement strategies are reexamined with the tweets collected from ten public libraries over three months. The tweets topic distribution of every library is discussed in the paper. Finally, the impacts of every strategy on user engagement have been evaluated by users feedback on every tweet. Through the data mining of public libraries' tweets, we aim to explore how user engagement strategies are used by the libraries on Twitter and suggest the best practices for libraries on social media initiatives to engage their users effectively.

arXiv (Cornell University), Feb 24, 2020

The "participatory library" is an emerging concept which refers to the idea that an integrated li... more The "participatory library" is an emerging concept which refers to the idea that an integrated library system must allow users to take part in core functions of the library rather than engaging on the periphery. To embrace the participatory idea, libraries have employed many technologies, such as social media to help them build participatory services and engage users. To help librarians understand the impact of emerging technologies on participatory service building, this paper takes social media as an example to explore how to use different engagement strategies that social media provides to engage more users. This paper provides three major contributions to the library system. The libraries can use the resultant engagement strategies to engage its users. Additionally, the best-fit strategy can be inferred and designed based on users' preferences. Lastly, the users' preferences can be understood based on a data analysis of social media. Three such contributions put together to fully address the proposed research question of "how to use different engagement strategies on social media to build participatory library services and better engage more users visiting the library?" [40].

Measurement and Control, 2019

In order to derive the feasible control law of the constrained model predictive control scheme, q... more In order to derive the feasible control law of the constrained model predictive control scheme, quadratic programming has been introduced as an effective method. It is known that the typical performance index for model predictive control strategies under various constraints can be converted into a standard quadratic programming problem; however, there may be no feasible solutions for the corresponding quadratic programming problem when the working conditions are too bad or constraints are too rigorous, the real-time control law cannot be updated and the system performance may be deteriorated. To cope with such problems, an improved quadratic programming problem in which relaxations are employed to increase the possibility of successful solutions is proposed for the constrained dynamic matrix control approach in this paper. By adopting the introduced relaxations, more degrees of relaxations are provided for the optimization process under the case of over-constrained, such that the co...

ArXiv, 2020

Industrial Artificial Intelligence (Industrial AI) is an emerging concept which refers to the app... more Industrial Artificial Intelligence (Industrial AI) is an emerging concept which refers to the application of artificial intelligence to industry. Industrial AI promises more efficient future industrial control systems. However, manufacturers and solution partners need to understand how to implement and integrate an AI model into the existing industrial control system. A well-trained machine learning (ML) model provides many benefits and opportunities for industrial control optimization; however, an inferior Industrial AI design and integration limits the capability of ML models. To better understand how to develop and integrate trained ML models into the traditional industrial control system, test the deployed AI control system, and ultimately outperform traditional systems, manufacturers and their AI solution partners need to address a number of challenges. Six top challenges, which were real problems we ran into when deploying Industrial AI, are explored in the paper. The Petuum O...

Journal of Contemporary Water Research & Education, 2017

rior to 2014, California did not have a comprehensive plan for managing its groundwater resources... more rior to 2014, California did not have a comprehensive plan for managing its groundwater resources. It was not until 2014 that the Sustainable Groundwater Management Act (SGMA) was adopted in California. The SGMA aims to promote groundwater sustainability by preventing these six undesirable conditions: 1) chronic lowering of the water table resulting from the depletion of groundwater storage; 2) groundwater overdraft; 3) reduction in stream flows due to groundwater-surface water disconnections; 4) groundwater quality degradation; 5) land subsidence; and 6) salt water intrusion into groundwater basins (Lund and Harter 2013). The present study introduces a water budget method that helps groundwater managers create some, but not all, necessary baseline measures from which to develop a Groundwater Sustainability Plan (GSP) so as to achieve groundwater sustainability in areas required to comply with the SGMA. More information on this method can be found in Flores Marquez (2017). This proposed method accounts primarily for water accounting and does not address the following three undesirable effects of SGMA: 1) groundwater quality degradation, 2) land subsidence, and 3) salt water intrusion into the groundwater basin. Water budgets are a helpful evaluation tool for effective water resources management and environmental planning. A water budget utilizes the continuity equation to account for all water that flows in and out of a control volume, resulting in

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to pr... more Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to proc ess simulation output data while simulations are running and before placing data on disk – ”in situ” and/or ”in-transit ”. There are several options in placing in-situ data analytics a long the I/O path: on compute nodes, on staging nodes dedicated to analytics, or after data is stored on persistent storage. Diff erent placements have different impact on end to end performance and cost. The consequence is a need for flexibility in the locati on of in situ data analytics. The FlexIO facility described in this paper supports flexible placement of in situ analytics, by offering simple abstractions and methods that help developers explo it the opportunities and trade-offs in performing analytics at different levels of the I/O hierarchy. Experimental results with several large-scale scientific applications demonstrate the importance of flexibility in analytics placement. Keywords-I/O, In S...

Today libraries are increasing their use of social media to connect with their users in more inno... more Today libraries are increasing their use of social media to connect with their users in more innovative ways and to “be part of their communities”, and promoting library services and events. Social media has thus become a significant platform for libraries to create their participatory services that emphasize greater engagement with their users. However, little empirical investigation into the success of social media use by libraries exists. This paper examines the role of a recently popular social media, Pinterest, in engaging users and focuses on public libraries. Through the metrics mining of Pinterest, the research explores how user engagement strategies are used by libraries on Pinterest and suggest the best strategies for libraries to use to undertake social media initiatives that will engage their users effectively.

ArXiv, 2020

The participatory library is an emerging concept which refers to the idea that an integrated libr... more The participatory library is an emerging concept which refers to the idea that an integrated library system must allow users to take part in core functions of the library rather than engaging on the periphery. To embrace the participatory idea, libraries have employed many technologies, such as social media to help them build participatory services and engage users. To help librarians understand the impact of emerging technologies on a participatory service building, this paper takes social media as an example to explore how to use different engagement strategies that social media provides to engage more users. This paper provides three major contributions to the library system. The libraries can use the resultant engagement strategies to engage its users. Additionally, the best-fit strategy can be inferred and designed based on the preferences of users. Lastly, the preferences of users can be understood based on data analysis of social media. Three such contributions put together t...

Wear

Abstract Surface texturing can change the friction and wear properties of the material surface. I... more Abstract Surface texturing can change the friction and wear properties of the material surface. It shows outstanding performance in reducing friction coefficients and wear in conformal flat contact. However, during initial point contact, most studies have found that it reduces the friction coefficient and increases wear. In this paper, ball-on-disc sliding tests were conducted to verify whether surface texturing could reduce wear of silicon nitride sliding in water for tests starting with initial point contact. The effects of texture parameters (depth, textured area, and diameter) were studied. Results showed that most textures could reduce Si3N4 wear after running-in process. Multi-scale texture, which was combined with large (11 μm depth, 2% textured area, and 22 μm diameter) and small (5 μm depth, 1% textured area, and 15 μm diameter) textures, could reduce the wear by 93% and increase the bearing capacity by 244%. Comparative experiments of oil and water lubricants were carried out to explore the mechanism of texture reducing wear in the running-in process, and two competitive mechanisms of hydrodynamic effect and stress concentration were found. This work provides a practical foundation for optimizing texture design and reducing wear of ceramic materials under water lubrication.

IEEE Access

In this paper, a fractional order LQG benchmark is proposed for the control performance assessmen... more In this paper, a fractional order LQG benchmark is proposed for the control performance assessment of fractional order control systems. Similar to the conventional LQG benchmark, the fractional order LQG performance benchmark curve is determined by the numerical calculation method, which avoids the calculation of the complex interaction matrix. The fractional order process model is discretized via fractional order calculus. Meanwhile, the fractional order integral is introduced into the conventional LQG cost function. Then solving the linear quadratic Gaussian problem under the fractional order model and fractional control, the optimal input and output variances are determined for different weighting factors and the performance curves can be achieved. The comparison between fractional order LQG and the conventional LQG shows the improvement of the proposed benchmark under the same condition. The proposed benchmark can provide a more direct and superior reference standard to evaluate the performance of fractional order control system. Finally, a case study of fractional order PID(FO-PID) controller in industrial heating furnace temperature control experiment with model matching and model mismatch conditions is used to verify the effectiveness of the proposed benchmark. INDEX TERMS Fractional order system, fractional order linear quadratic Gaussian (FO-LQG), control performance assessment, FO-PID. control.

IEEE Access

It is known that constraints and disturbances in practice may affect the performance of distribut... more It is known that constraints and disturbances in practice may affect the performance of distributed predictive functional control (DPFC) system greatly, thus it is necessary to develop a method to enhance the control performance further. Based on such background, a modified predictive functional control with basic function and PID control structure (BFPID-DPFC) is proposed for large-scale strong coupling system in this paper. In this approach, the performance index is reconstructed by utilizing the Proportional integral derivative (PID) factor and the weighting coefficient of basis functions firstly, then the ensemble control performance of the strong coupling system can be improved by adjusting the corresponding factors. Further, the coupling effect between subsystems can be eliminated by employing Nash game theory, then the improved DPFC approach is obtained. The comparisons between conventional DPFC method and the BFPID-DPFC approach are done in the simulation part, and the results show that the ensemble control performance of the proposed DPFC algorithm is better. INDEX TERMS Distributed predictive functional control, PID control, basis function, coupling system.

Frontiers of Energy and Power Engineering in China, 2008

An investigation on the ignition delay of a dual fuel engine operating with methanol ignited by p... more An investigation on the ignition delay of a dual fuel engine operating with methanol ignited by pilot diesel was conducted on a TY1100 direct-injection diesel engine equipped with an electronic controlled methanol lowpressure injection system. The experimental results show that the polytropic index of compression process of the dual fuel engine decreases linearly while the ignition delay increases with the increase in methanol mass fraction. Compared with the conventional diesel engine, the ignition delay increment of the dual fuel engine is about 1.5u at a methanol mass fraction of 62%, an engine speed of 1600 r/min, and full engine load. With the elevation of the intake charge temperature from 20uC to 40uC and then to 60uC, the ignition delay of the dual fuel engine decreases and is more obvious at high temperature. Moreover, with the increase in engine speed, the ignition delay of the dual fuel engine by time scale (ms) decreases clearly under all engine operating conditions. However, the ignition delay of the dual fuel engine increases remarkably by advancing the delivery timing of pilot diesel, especially at light engine loads.

Journal of Management Analytics, 2015

Public libraries are increasingly using social media to connect their users in innovative ways. L... more Public libraries are increasingly using social media to connect their users in innovative ways. Librarians make use of social media as a tool for ‘being part of their communities’, promoting library services and events, and creating participatory services. However, little empirical investigation has explored the success of such social media use by libraries. In this paper, we study the role of Twitter for engaging users via a focus on public libraries. We use topic-modeling techniques to classify library user engagement strategies into four categories: literature exhibits, engaging topics, community building and library showcasing. These four engagement strategies are re-examined via a sentiment analysis of tweets collected from 10 public libraries over 3 months. Through data mining of tweets, we explore how user engagement strategies are used by libraries on Twitter, and suggest the best practices for libraries interested in pursuing social media initiatives to use to engage their users effectively.

Nonlinear Analysis: Hybrid Systems, 2014

ABSTRACT This paper deals with the mean-square asymptotic stability of stochastic Markovian jump ... more ABSTRACT This paper deals with the mean-square asymptotic stability of stochastic Markovian jump systems with time-varying delay. Based on a new stochastic inequality and convex analysis property, some novel stability conditions are presented. In the derivation, the information of the time-varying delay is retained and the estimation of it by the worst-case enlargement is not involved. Some special cases of the systems under consideration are also investigated. Illustrative examples are given to show the effectiveness of the proposed approach.

2015 IEEE International Conference on Cloud Engineering, 2015

With the rapid growth of dataset, more and more traditional applications turn into big data appli... more With the rapid growth of dataset, more and more traditional applications turn into big data applications running on cloud platforms. This trend has continued, and even accelerated. Compared with traditional applications, big data applications spend lots of time to transfer data among computing nodes. Hence, the communication optimization is a must for big data applications. Network topology and routing algorithm of the underlying system are two major factors in determining the communication performance of big data applications. Once the system is deployed, the network topology is fixed and static or dynamic routing protocols are preinstalled. Users cannot change them. Therefore, it is hard for application developers to identify the optimal network configuration for their applications with distinct communication patterns. In this study, we design a flexible container-based tuning system (Flex Tuner) allowing users to create a farm of lightweight virtual machines (containers) on host machines. In addition, we use software-defined networking (SDN) technique to connect and direct the network traffic among these containers. Users can soft-tune the network topology and network traffic of the Flex Tuner, thereby enabling application developers to analyze their applications on the same system with different network configuration. The preliminary experimental results have shown that Flex Tuner can represent application performance variations caused by network topology and routing algorithm. Case studies through both synthetic big data programs and benchmarks have indicated that Flex Tuner enables researchers to analyze the communication cost of their big data applications and to find the suitable network topology and routing algorithm.

2015 IEEE First International Conference on Big Data Computing Service and Applications, 2015

Public libraries are increasingly using social media to connect their users in an innovative way.... more Public libraries are increasingly using social media to connect their users in an innovative way. Librarians make use of social media with the purpose of "being part of their communities", or promoting libraries' services and events. Social media has become a significant platform for libraries to create their own participatory services emphasizing engagement with users. However, there has been little empirical investigation into the success of social media use by libraries. In this paper, we study the role of a recently popular social media, Twitter, in engaging users with a focus on public libraries. We use topicmodeling techniques to classify the library user engagement strategies into four categories-literature exhibits, engaging topic, community building, and library showcasing. These four engagement strategies are reexamined with the tweets collected from ten public libraries over three months. The tweets topic distribution of every library is discussed in the paper. Finally, the impacts of every strategy on user engagement have been evaluated by users feedback on every tweet. Through the data mining of public libraries' tweets, we aim to explore how user engagement strategies are used by the libraries on Twitter and suggest the best practices for libraries on social media initiatives to engage their users effectively.

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005

ABSTRACT Resource discovery is a basic service in grid computing: gives a description of resource... more ABSTRACT Resource discovery is a basic service in grid computing: gives a description of resources desired and finds the available one to match the description. In computational grid, how to discover resources efficiently has become a crucial factor to evaluate the performance in the whole system. In this paper, we present a bid-based resource discovery algorithm, which converts a resource request into a bidding letter and sends it to a group of physical services owned by the same virtual service to call for bidding. All resources receiving bidding letter make offers to bid according to our algorithm. Job manager selects the best one to response client request. To evaluate the performance of our method, we compare our system with the centralized and peer-to-peer resource discovery approaches. The analysis results show that our system reduces average response time of jobs, leverages the cost of the resource discovery, and improves the system scalability.

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009

ABSTRACT The problem of stability analysis for switched linear systems is studied based on the pr... more ABSTRACT The problem of stability analysis for switched linear systems is studied based on the properties of the quadratic form. Sufficient conditions for asymptotical stability, instability under arbitrary switching sequence and asymptotical stability under special switching sequence are reached. These conditions can be applied not only to study the problem of stability analysis for switched linear systems, but also to design the stable switching sequence for a switched linear system. A numerical example is used to demonstrate the applicability of the proposed methods.

IEEE International Conference on e-Business Engineering (ICEBE'05), 2005

... In this application, data miming is applied to network intrusion systems based on characteris... more ... In this application, data miming is applied to network intrusion systems based on characteristics of network intrusion detection and data mining techniques. Features and rules describing the normal and abnormal activities are extracted from audit data. ...

Journal of Information Technology Management, 2015

Today libraries are increasing their use of social media to connect with their users in more inno... more Today libraries are increasing their use of social media to connect with their users in more innovative ways and to "be part of their communities", and promoting library services and events. Social media has thus become a significant platform for libraries to create their participatory services that emphasize greater engagement with their users. However, little empirical investigation into the success of social media use by libraries exists. This paper examines the role of a recently popular social media, Pinterest, in engaging users and focuses on public libraries. Through the metrics mining of Pinterest, the research explores how user engagement strategies are used by libraries on Pinterest and suggest the best strategies for libraries to use to undertake social media initiatives that will engage their users effectively.

Public libraries are increasingly using social media to connect their users in an innovative way.... more Public libraries are increasingly using social media to connect their users in an innovative way. Librarians make use of social media with the purpose of "being part of their communities", or promoting libraries' services and events. Social media has become a significant platform for libraries to create their own participatory services emphasizing engagement with users. However, there has been little empirical investigation into the success of social media use by libraries. In this paper, we study the role of a recently popular social media, Twitter, in engaging users with a focus on public libraries. We use topicmodeling techniques to classify the library user engagement strategies into four categories-literature exhibits, engaging topic, community building, and library showcasing. These four engagement strategies are reexamined with the tweets collected from ten public libraries over three months. The tweets topic distribution of every library is discussed in the paper. Finally, the impacts of every strategy on user engagement have been evaluated by users feedback on every tweet. Through the data mining of public libraries' tweets, we aim to explore how user engagement strategies are used by the libraries on Twitter and suggest the best practices for libraries on social media initiatives to engage their users effectively.

arXiv (Cornell University), Feb 24, 2020

The "participatory library" is an emerging concept which refers to the idea that an integrated li... more The "participatory library" is an emerging concept which refers to the idea that an integrated library system must allow users to take part in core functions of the library rather than engaging on the periphery. To embrace the participatory idea, libraries have employed many technologies, such as social media to help them build participatory services and engage users. To help librarians understand the impact of emerging technologies on participatory service building, this paper takes social media as an example to explore how to use different engagement strategies that social media provides to engage more users. This paper provides three major contributions to the library system. The libraries can use the resultant engagement strategies to engage its users. Additionally, the best-fit strategy can be inferred and designed based on users' preferences. Lastly, the users' preferences can be understood based on a data analysis of social media. Three such contributions put together to fully address the proposed research question of "how to use different engagement strategies on social media to build participatory library services and better engage more users visiting the library?" [40].

Measurement and Control, 2019

In order to derive the feasible control law of the constrained model predictive control scheme, q... more In order to derive the feasible control law of the constrained model predictive control scheme, quadratic programming has been introduced as an effective method. It is known that the typical performance index for model predictive control strategies under various constraints can be converted into a standard quadratic programming problem; however, there may be no feasible solutions for the corresponding quadratic programming problem when the working conditions are too bad or constraints are too rigorous, the real-time control law cannot be updated and the system performance may be deteriorated. To cope with such problems, an improved quadratic programming problem in which relaxations are employed to increase the possibility of successful solutions is proposed for the constrained dynamic matrix control approach in this paper. By adopting the introduced relaxations, more degrees of relaxations are provided for the optimization process under the case of over-constrained, such that the co...

ArXiv, 2020

Industrial Artificial Intelligence (Industrial AI) is an emerging concept which refers to the app... more Industrial Artificial Intelligence (Industrial AI) is an emerging concept which refers to the application of artificial intelligence to industry. Industrial AI promises more efficient future industrial control systems. However, manufacturers and solution partners need to understand how to implement and integrate an AI model into the existing industrial control system. A well-trained machine learning (ML) model provides many benefits and opportunities for industrial control optimization; however, an inferior Industrial AI design and integration limits the capability of ML models. To better understand how to develop and integrate trained ML models into the traditional industrial control system, test the deployed AI control system, and ultimately outperform traditional systems, manufacturers and their AI solution partners need to address a number of challenges. Six top challenges, which were real problems we ran into when deploying Industrial AI, are explored in the paper. The Petuum O...

Journal of Contemporary Water Research & Education, 2017

rior to 2014, California did not have a comprehensive plan for managing its groundwater resources... more rior to 2014, California did not have a comprehensive plan for managing its groundwater resources. It was not until 2014 that the Sustainable Groundwater Management Act (SGMA) was adopted in California. The SGMA aims to promote groundwater sustainability by preventing these six undesirable conditions: 1) chronic lowering of the water table resulting from the depletion of groundwater storage; 2) groundwater overdraft; 3) reduction in stream flows due to groundwater-surface water disconnections; 4) groundwater quality degradation; 5) land subsidence; and 6) salt water intrusion into groundwater basins (Lund and Harter 2013). The present study introduces a water budget method that helps groundwater managers create some, but not all, necessary baseline measures from which to develop a Groundwater Sustainability Plan (GSP) so as to achieve groundwater sustainability in areas required to comply with the SGMA. More information on this method can be found in Flores Marquez (2017). This proposed method accounts primarily for water accounting and does not address the following three undesirable effects of SGMA: 1) groundwater quality degradation, 2) land subsidence, and 3) salt water intrusion into the groundwater basin. Water budgets are a helpful evaluation tool for effective water resources management and environmental planning. A water budget utilizes the continuity equation to account for all water that flows in and out of a control volume, resulting in

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to pr... more Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to proc ess simulation output data while simulations are running and before placing data on disk – ”in situ” and/or ”in-transit ”. There are several options in placing in-situ data analytics a long the I/O path: on compute nodes, on staging nodes dedicated to analytics, or after data is stored on persistent storage. Diff erent placements have different impact on end to end performance and cost. The consequence is a need for flexibility in the locati on of in situ data analytics. The FlexIO facility described in this paper supports flexible placement of in situ analytics, by offering simple abstractions and methods that help developers explo it the opportunities and trade-offs in performing analytics at different levels of the I/O hierarchy. Experimental results with several large-scale scientific applications demonstrate the importance of flexibility in analytics placement. Keywords-I/O, In S...

Today libraries are increasing their use of social media to connect with their users in more inno... more Today libraries are increasing their use of social media to connect with their users in more innovative ways and to “be part of their communities”, and promoting library services and events. Social media has thus become a significant platform for libraries to create their participatory services that emphasize greater engagement with their users. However, little empirical investigation into the success of social media use by libraries exists. This paper examines the role of a recently popular social media, Pinterest, in engaging users and focuses on public libraries. Through the metrics mining of Pinterest, the research explores how user engagement strategies are used by libraries on Pinterest and suggest the best strategies for libraries to use to undertake social media initiatives that will engage their users effectively.

ArXiv, 2020

The participatory library is an emerging concept which refers to the idea that an integrated libr... more The participatory library is an emerging concept which refers to the idea that an integrated library system must allow users to take part in core functions of the library rather than engaging on the periphery. To embrace the participatory idea, libraries have employed many technologies, such as social media to help them build participatory services and engage users. To help librarians understand the impact of emerging technologies on a participatory service building, this paper takes social media as an example to explore how to use different engagement strategies that social media provides to engage more users. This paper provides three major contributions to the library system. The libraries can use the resultant engagement strategies to engage its users. Additionally, the best-fit strategy can be inferred and designed based on the preferences of users. Lastly, the preferences of users can be understood based on data analysis of social media. Three such contributions put together t...

Wear

Abstract Surface texturing can change the friction and wear properties of the material surface. I... more Abstract Surface texturing can change the friction and wear properties of the material surface. It shows outstanding performance in reducing friction coefficients and wear in conformal flat contact. However, during initial point contact, most studies have found that it reduces the friction coefficient and increases wear. In this paper, ball-on-disc sliding tests were conducted to verify whether surface texturing could reduce wear of silicon nitride sliding in water for tests starting with initial point contact. The effects of texture parameters (depth, textured area, and diameter) were studied. Results showed that most textures could reduce Si3N4 wear after running-in process. Multi-scale texture, which was combined with large (11 μm depth, 2% textured area, and 22 μm diameter) and small (5 μm depth, 1% textured area, and 15 μm diameter) textures, could reduce the wear by 93% and increase the bearing capacity by 244%. Comparative experiments of oil and water lubricants were carried out to explore the mechanism of texture reducing wear in the running-in process, and two competitive mechanisms of hydrodynamic effect and stress concentration were found. This work provides a practical foundation for optimizing texture design and reducing wear of ceramic materials under water lubrication.

IEEE Access

In this paper, a fractional order LQG benchmark is proposed for the control performance assessmen... more In this paper, a fractional order LQG benchmark is proposed for the control performance assessment of fractional order control systems. Similar to the conventional LQG benchmark, the fractional order LQG performance benchmark curve is determined by the numerical calculation method, which avoids the calculation of the complex interaction matrix. The fractional order process model is discretized via fractional order calculus. Meanwhile, the fractional order integral is introduced into the conventional LQG cost function. Then solving the linear quadratic Gaussian problem under the fractional order model and fractional control, the optimal input and output variances are determined for different weighting factors and the performance curves can be achieved. The comparison between fractional order LQG and the conventional LQG shows the improvement of the proposed benchmark under the same condition. The proposed benchmark can provide a more direct and superior reference standard to evaluate the performance of fractional order control system. Finally, a case study of fractional order PID(FO-PID) controller in industrial heating furnace temperature control experiment with model matching and model mismatch conditions is used to verify the effectiveness of the proposed benchmark. INDEX TERMS Fractional order system, fractional order linear quadratic Gaussian (FO-LQG), control performance assessment, FO-PID. control.

IEEE Access

It is known that constraints and disturbances in practice may affect the performance of distribut... more It is known that constraints and disturbances in practice may affect the performance of distributed predictive functional control (DPFC) system greatly, thus it is necessary to develop a method to enhance the control performance further. Based on such background, a modified predictive functional control with basic function and PID control structure (BFPID-DPFC) is proposed for large-scale strong coupling system in this paper. In this approach, the performance index is reconstructed by utilizing the Proportional integral derivative (PID) factor and the weighting coefficient of basis functions firstly, then the ensemble control performance of the strong coupling system can be improved by adjusting the corresponding factors. Further, the coupling effect between subsystems can be eliminated by employing Nash game theory, then the improved DPFC approach is obtained. The comparisons between conventional DPFC method and the BFPID-DPFC approach are done in the simulation part, and the results show that the ensemble control performance of the proposed DPFC algorithm is better. INDEX TERMS Distributed predictive functional control, PID control, basis function, coupling system.

Frontiers of Energy and Power Engineering in China, 2008

An investigation on the ignition delay of a dual fuel engine operating with methanol ignited by p... more An investigation on the ignition delay of a dual fuel engine operating with methanol ignited by pilot diesel was conducted on a TY1100 direct-injection diesel engine equipped with an electronic controlled methanol lowpressure injection system. The experimental results show that the polytropic index of compression process of the dual fuel engine decreases linearly while the ignition delay increases with the increase in methanol mass fraction. Compared with the conventional diesel engine, the ignition delay increment of the dual fuel engine is about 1.5u at a methanol mass fraction of 62%, an engine speed of 1600 r/min, and full engine load. With the elevation of the intake charge temperature from 20uC to 40uC and then to 60uC, the ignition delay of the dual fuel engine decreases and is more obvious at high temperature. Moreover, with the increase in engine speed, the ignition delay of the dual fuel engine by time scale (ms) decreases clearly under all engine operating conditions. However, the ignition delay of the dual fuel engine increases remarkably by advancing the delivery timing of pilot diesel, especially at light engine loads.

Journal of Management Analytics, 2015

Public libraries are increasingly using social media to connect their users in innovative ways. L... more Public libraries are increasingly using social media to connect their users in innovative ways. Librarians make use of social media as a tool for ‘being part of their communities’, promoting library services and events, and creating participatory services. However, little empirical investigation has explored the success of such social media use by libraries. In this paper, we study the role of Twitter for engaging users via a focus on public libraries. We use topic-modeling techniques to classify library user engagement strategies into four categories: literature exhibits, engaging topics, community building and library showcasing. These four engagement strategies are re-examined via a sentiment analysis of tweets collected from 10 public libraries over 3 months. Through data mining of tweets, we explore how user engagement strategies are used by libraries on Twitter, and suggest the best practices for libraries interested in pursuing social media initiatives to use to engage their users effectively.

Nonlinear Analysis: Hybrid Systems, 2014

ABSTRACT This paper deals with the mean-square asymptotic stability of stochastic Markovian jump ... more ABSTRACT This paper deals with the mean-square asymptotic stability of stochastic Markovian jump systems with time-varying delay. Based on a new stochastic inequality and convex analysis property, some novel stability conditions are presented. In the derivation, the information of the time-varying delay is retained and the estimation of it by the worst-case enlargement is not involved. Some special cases of the systems under consideration are also investigated. Illustrative examples are given to show the effectiveness of the proposed approach.

2015 IEEE International Conference on Cloud Engineering, 2015

With the rapid growth of dataset, more and more traditional applications turn into big data appli... more With the rapid growth of dataset, more and more traditional applications turn into big data applications running on cloud platforms. This trend has continued, and even accelerated. Compared with traditional applications, big data applications spend lots of time to transfer data among computing nodes. Hence, the communication optimization is a must for big data applications. Network topology and routing algorithm of the underlying system are two major factors in determining the communication performance of big data applications. Once the system is deployed, the network topology is fixed and static or dynamic routing protocols are preinstalled. Users cannot change them. Therefore, it is hard for application developers to identify the optimal network configuration for their applications with distinct communication patterns. In this study, we design a flexible container-based tuning system (Flex Tuner) allowing users to create a farm of lightweight virtual machines (containers) on host machines. In addition, we use software-defined networking (SDN) technique to connect and direct the network traffic among these containers. Users can soft-tune the network topology and network traffic of the Flex Tuner, thereby enabling application developers to analyze their applications on the same system with different network configuration. The preliminary experimental results have shown that Flex Tuner can represent application performance variations caused by network topology and routing algorithm. Case studies through both synthetic big data programs and benchmarks have indicated that Flex Tuner enables researchers to analyze the communication cost of their big data applications and to find the suitable network topology and routing algorithm.

2015 IEEE First International Conference on Big Data Computing Service and Applications, 2015

Public libraries are increasingly using social media to connect their users in an innovative way.... more Public libraries are increasingly using social media to connect their users in an innovative way. Librarians make use of social media with the purpose of "being part of their communities", or promoting libraries' services and events. Social media has become a significant platform for libraries to create their own participatory services emphasizing engagement with users. However, there has been little empirical investigation into the success of social media use by libraries. In this paper, we study the role of a recently popular social media, Twitter, in engaging users with a focus on public libraries. We use topicmodeling techniques to classify the library user engagement strategies into four categories-literature exhibits, engaging topic, community building, and library showcasing. These four engagement strategies are reexamined with the tweets collected from ten public libraries over three months. The tweets topic distribution of every library is discussed in the paper. Finally, the impacts of every strategy on user engagement have been evaluated by users feedback on every tweet. Through the data mining of public libraries' tweets, we aim to explore how user engagement strategies are used by the libraries on Twitter and suggest the best practices for libraries on social media initiatives to engage their users effectively.

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005

ABSTRACT Resource discovery is a basic service in grid computing: gives a description of resource... more ABSTRACT Resource discovery is a basic service in grid computing: gives a description of resources desired and finds the available one to match the description. In computational grid, how to discover resources efficiently has become a crucial factor to evaluate the performance in the whole system. In this paper, we present a bid-based resource discovery algorithm, which converts a resource request into a bidding letter and sends it to a group of physical services owned by the same virtual service to call for bidding. All resources receiving bidding letter make offers to bid according to our algorithm. Job manager selects the best one to response client request. To evaluate the performance of our method, we compare our system with the centralized and peer-to-peer resource discovery approaches. The analysis results show that our system reduces average response time of jobs, leverages the cost of the resource discovery, and improves the system scalability.

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009

ABSTRACT The problem of stability analysis for switched linear systems is studied based on the pr... more ABSTRACT The problem of stability analysis for switched linear systems is studied based on the properties of the quadratic form. Sufficient conditions for asymptotical stability, instability under arbitrary switching sequence and asymptotical stability under special switching sequence are reached. These conditions can be applied not only to study the problem of stability analysis for switched linear systems, but also to design the stable switching sequence for a switched linear system. A numerical example is used to demonstrate the applicability of the proposed methods.

IEEE International Conference on e-Business Engineering (ICEBE'05), 2005

... In this application, data miming is applied to network intrusion systems based on characteris... more ... In this application, data miming is applied to network intrusion systems based on characteristics of network intrusion detection and data mining techniques. Features and rules describing the normal and abnormal activities are extracted from audit data. ...