- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Mobile Ad Hoc Networks
- Human Mobility and Location-Based Analysis
- Energy Efficient Wireless Sensor Networks
- Adaptive Dynamic Programming Control
- Adaptive Control of Nonlinear Systems
- Natural Language Processing Techniques
- Security in Wireless Sensor Networks
- Opinion Dynamics and Social Influence
- Experimental Learning in Engineering
- Multimodal Machine Learning Applications
- Distributed systems and fault tolerance
- Belt Conveyor Systems Engineering
- Advanced Control Systems Optimization
- Topic Modeling
- Machine Learning and ELM
- Peer-to-Peer Network Technologies
- Frequency Control in Power Systems
- Water Quality Monitoring Technologies
- Software Testing and Debugging Techniques
- Wireless Networks and Protocols
State Key Laboratory of Synthetical Automation for Process Industries
2017-2018
Northeastern University
2012-2018
Zhejiang University
2009-2013
IBM (United States)
2012
Zhejiang University of Technology
2008-2011
State Key Laboratory of Industrial Control Technology
2008-2011
Pennsylvania State University
2010
This paper studies the operational optimal control problem for industrial flotation process, a key component in mineral processing concentrator line. A new model-free data-driven method is developed here real-time solution of this problem. novel formulation given selection process inputs that guarantees tracking indices while maintaining within specified bounds. Proper prescribed indices, namely concentrate grade and tail grade, essential proper economic operation process. The difficulty...
In this paper, we consider the issue of data broadcasting in mobile social networks (MSNets). The objective is to broadcast from a superuser other users network. There are two main challenges under paradigm, namely 1) how represent and characterize user mobility realistic MSNets; 2) given knowledge regular users' movements, design an efficient route actively. We first explore several sets reveal both geographic regularities human mobility, further propose concepts geocommunity geocentrality...
This paper develops a new method for solving the optimal control tracking problem networked systems (NCSs), where network-induced dropout can occur and system dynamics are unknown. First, novel Smith predictor is designed to predict current state based on historical data measurements over communication network. Then, it shown that quadratic form of performance index preserved even with dropout, tracker solution given generalized algebraic Riccati equation. New algorithms off-line policy...
In this paper, we predict nodes' social contact patterns from the temporal perspective, and propose a novel approach to improve performance of data forwarding in opportunistic mobile networks (OMNs). Specifically, considering both average separating time variance time, first introduce definition closeness centrality. Then, several intuitive prediction methods are designed future based on observations extensive real trace-driven simulation results. Afterward, predicted patterns, an efficient...
This paper studies the two-timescales operational optimal control problem for flotation industrial process with unknown model in presence of setpoint constraints on device layer. A novel dual-rate data-driven algorithm based lifting technology and reinforcement learning (RL) is proposed. First, a including layer models formulated. Then, proportional integral (PI) controller designed, by using technology, unified timescale controlled plant partially dynamics established. Based such model, an...
Recently, content-based publish/subscribe (pub/sub) services have become a significant research field in opportunistic mobile networks (OppNets). Pub/sub is an asynchronous messaging paradigm, which content transmissions are guided by the interest. Since selfish behavior common reality, nodes often behave selfishly with aim to maximize their own utilities without considering performance of other nodes. Therefore, how encourage collect, store and share network efficiently one key challenges...
One useful source of evidence for evaluating a candidate answer to question is passage that contains the and relevant question. In DeepQA pipeline, we retrieve passages using novel technique call Supporting Evidence Retrieval, in which perform separate search queries each answer, parallel, include as part query. We then score these an assortment algorithms use different aspects relationships terms passage. provide our mechanisms obtaining scoring have substantial impact on ability...
In delay-tolerant networks (DTNs), information search is a significant topic that has yet to be widely investigated. Although social-based approaches can used address the problem, most existing schemes employ multihop paradigm and leave out severe resource constraint in DTNs. this paper, we experimentally explore several realistic data sets then reveal users' one-hop neighbors cover range of whole network reasonable time period, which lays solid fundamental for two-hop schemes. Therefore,...
In mobile social networks (MSNets), data dissemination is an important topic, which has not been widely investigated yet. Active a networking paradigm where superuser intentionally facilitates the connectivity in network. One of key challenges under this how to design most efficient route achieve certain properties end-to-end connectivity. Most existing solutions only focus on network with stationary users or strongly constrained node mobility, and assume always moves fixed route. paper, we...
Mobility pattern of device users plays a crucial role in wide range mobile computing applications, including data forwarding, content sharing, information search and advertising. Hence, it is important to characterize the mobility path users, so as accurately predict user mobility. In this paper, we introduce two typical patterns: standard Markov semi-Markov models. Especially, experimentally explore correlation community geography Mobile Social Networks (MSNets), analyze sojourn time...
In opportunistic mobile networks (OppNets), a large amount of energy is consumed by idle listening, instead infrequent data exchange. This makes saving challenging and fundamental problem in OppNets since nodes are typically battery powered. Asynchronous duty-cycle operation promising approach for OppNets; however, if its working schedule not effectively designed, it may also cause significant network performance degradation. Therefore, pressing to design an energy-efficient OppNets. this...
Several simulation tools are used to evaluate network performance including OMNeT++. In this paper, a case of topology control (TC) in WSNs is simulated by considering its interaction with MAC layer and routing based on the SensorSimulator framework. Some ways improve efficiency described. Finally, results given.
Protocol testing has been one of the most active fields in computer networks. In Wireless Sensor Networks (WSNs), before directly employing protocols on hardware testbed, we expect an effective test framework to verify logical correctness computers, which could facilitate whole process. Towards this goal, paper introduces upper WSNs, namely Testing Framework for WSNs (PTFW).