• A Blockchain-Based Risk and Information System Control Framework 

      Ma, Shenglan; Wang, Hao; Dai, Hong-Ning; Cheng, Shuhan; Yi, Ruihua; Wang, Tongsen (Chapter; Conference object, 2018)
      Risk and Information System Control Framework in business includes the methods and processes to manage risks and seize opportunities which involve identifying particular risk events relevant to the objectives, assessing ...
    • A Clinical Decision Support Framework for Heterogeneous Data Sources 

      Huang, Mengxing; Han, Huirui; Wang, Hao; Li, LeFei; Zhang, Yu; Bhatti, Uzair Aslam (Journal article; Peer reviewed, 2018)
      To keep pace with the developments in medical informatics, health medical data is being collected continually. But, owing to the diversity of its categories and sources, medical data has become so complicated in many ...
    • A co-verification interface design for high-assurance CPS 

      Zhang, Yu; Huang, Mengxing; Wang, Hao; Feng, Wenlong; Cheng, Jieren; Zhou, Hui (Journal article; Peer reviewed, 2019)
      Cyber-Physical Systems (CPS) tightly integrate cyber and physical components and transcend traditional control systems and embedded system. Such systems are often mission-critical; therefore, they must be high-assurance. ...
    • A Feature Preprocessing Framework of Remote Sensing Image for Marine Targets Recognition 

      Chen, Qiong; Huang, Mengxing; Wang, Hao; Zhang, Yu; Feng, Wenlong; Wang, Xianpeng; Wu, Di; Bhatti, Uzair Aslam (Chapter; Conference object, 2018)
      The effective extraction of continuous features of marine remote sensing image is the key to the processing of marine target recognition. Since many of the existing data mining algorithms can only deal with discrete ...
    • A New Anomaly Detection System for School Electricity Consumption Data 

      Cui, Wenqiang; Wang, Hao (Journal article; Peer reviewed, 2017)
      Anomaly detection has been widely used in a variety of research and application domains, such as network intrusion detection, insurance/credit card fraud detection, health-care informatics, industrial damage detection, ...
    • A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack 

      Li, Xuran; Wang, Qiu; Dai, Hong-Ning; Wang, Hao (Journal article; Peer reviewed, 2018)
      Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. ...
    • A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System 

      Wu, Di; Wang, Hao; Seidu, Razak (Chapter, 2019)
      Drinking Water Supply (DWS) is one of the most critical and sensitive systems to maintain city operations globally. In Europe, the contradiction between the fast growth of population and obsolete urban water supply ...
    • An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things 

      Li, Xuran; Wang, Hao; Dai, Hong-Ning; Wang, Yuanyuan; Zhao, Qinglin (Journal article; Peer reviewed, 2016)
      The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ...
    • Anomaly Detection and Visualization of School Electricity Consumption Data 

      Cui, Wenqiang; Wang, Hao (Chapter, 2017)
      Anomaly detection has been widely used in a variety of research and application domains, such as network intrusion detection, insurance/credit card fraud detection, health-care informatics, industrial damage detection, ...
    • Applying hyperparameter optimization and other model adaption methods to tune existing models for microbial pathogens in drinking water supplies 

      Noem, Niklas (Master thesis, 2018)
      The collection and analysis of data on the concentration of pathogenic organisms in raw water sources is critical for the optimization of disinfection processes in water treatment plants. Nevertheless, there are no robust ...
    • Big data analysis and visualization tools for different industries 

      Han, Fang (Master thesis, 2017)
      With the world s entrance into the information age, data analysis has become a major tool for the advancement of any industry. Big data analytics and visualization allows researchers and scientists to view and easily ...
    • Big data and connectivity in long-linked supply chains 

      Engelseth, Per; Wang, Hao (Journal article; Peer reviewed, 2018)
      Purpose This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management. Design/methodology/approach Analysis is grounded on a case ...
    • Blockchain-Based Power Energy Trading Management 

      Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)
      Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ...
    • Chronic Diseases and Health Monitoring Big Data: A Survey 

      Lin, Rongheng; Ye, Zezhou; Wang, Hao; Wu, Budan (Journal article; Peer reviewed, 2018)
      With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been ...
    • Connectivity of underwater cognitive acoustic networks under spectrum constraint 

      Wang, Qiu; Dai, Hong-Ning; Wang, Hao; Wang, Qubeijian (Chapter; Conference object, 2018)
      There is an extensive attention on underwater cognitive acoustic networks (UCANs) since acoustic spectrum becomes deficient owning to the proliferation of human activity in ocean. This paper presents an overview of our ...
    • Data-Driven Maritime Processes Management Using Executable Models 

      Richta, Tomáš; Wang, Hao; Osen, Ottar; Styve, Arne; Janoušek, Vladimír (Journal article, 2018)
      In this paper we describe a decision support system for maritime traffic and operations, based on formal models and driven by data from the environment. To handle the complexity of system description, we work with a ...
    • Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features 

      Wang, Yu; Ban, Xiaojuan; Wang, Huan; Wu, Di; Wang, Hao; Yang, Shouqing; Liu, Sinuo; Lai, Jinhui (Journal article; Peer reviewed, 2019)
      The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ...
    • Energy optimization of parallel programs in a heterogeneous system by combining processor core-shutdown and dynamic voltage scaling 

      Wang, Zhuowei; Wang, Hao; Zhao, Wuqing; Cheng, Lianglun (Journal article; Peer reviewed, 2019)
      Reducing power consumption and improving efficiency are important aspects of the development of supercomputers into large-scale systems. As a result, heterogeneous systems have become an important development trend in ...
    • Evaluating the data visualization for demanding marine operations 

      Zhuge, Xu; Wang, Hao; Strazdins, Girts (Chapter; Conference object, 2017)
      Complexity and specificity of monitoring sensor data from marine operations brought a majority of challenges of how to evaluate the visualizations of such sensor data. It's urgently needed to develop and implement new ...
    • Event Sourcing 

      Rishaug, Robert; Wika, Oscar Lundmark (Bachelor thesis, 2018)
      Most systems today are typically using CRUD operations to handle creating, reading, updating, and deleting data. The problem with CRUD is that it every time you update or remove data you lose important business ...