Blar i NTNU Open på forfatter "Wang, Hao"

Viser treff 61-80 av 148

    • Energy Optimization by Software Prefetching for Task Granularity in GPU-based Embedded Systems 

      Wang, Zhuowei; Cheng, Lianglun; Wang, Hao; Zhao, Wuqing; Song, Xiaoyu (Journal article; Peer reviewed, 2019)
      Energy saving and optimization play an increasingly important role in industrial electronic systems. A heterogeneous embedded system is composed of a general-purpose central processing unit (CPU) with an enhanced module ...

    • 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, 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 ...

    • Evolutionary community discovery in dynamic social networks via resistance distance 

      Li, Weimin; Zhu, Heng; Li, Shaohua; Wang, Hao; Dai, Hong-Ning; Wang, Can; Jin, Qun (Peer reviewed; Journal article, 2021)
      Traditional social community discovery methods concentrate mainly on static social networks, but the analysis of dynamic networks is a prerequisite for real-time and personalized social services. Through the study of ...

    • Exploring and Analyzing the Real Impact of Modern On-Package Memory on HPC Scientific Kernels 

      Li, Ang; Liu, Weifeng; Kristensen, Mads R. B.; Vinter, Brian; Wang, Hao; Hou, Kaixi; Marquez, Andres; Song, Shuaiwen Leon (Journal article; Peer reviewed, 2017)
      High-bandwidth On-Package Memory (OPM) innovates the conventional memory hierarchy by augmenting a new on-package layer between classic on-chip cache and off-chip DRAM. Due to its relative location and capacity, OPM is ...

    • Exploring Self-attention Mechanism of Deep Learning in Cloud Intrusion Detection 

      Lu, Chenmao; Dai, Hong-Ning; Zhou, Junhao; Wang, Hao (Chapter, 2021)
      Cloud computing offers elastic and ubiquitous computing services, thereby receiving extensive attention recently. However, cloud servers have also become the targets of malicious attacks or hackers due to the centralization ...

    • EZPlugIn: Plug-n-Play Framework for a Heterogeneous IoT Infrastructure for Smart Home 

      Kar, Pushpendu; Wang, Hao (Peer reviewed; Journal article, 2021)
      Internet of Things (IoT) introduces a very large scale of technologies. An IoT system is comprised of a large number of smart devices and sensors connected together that are often non-intrusive, transparent, and invisible. ...

    • FADBM: Frequency-Aware Dummy-Based Method in Long-Term Location Privacy Protection 

      Liu, Jiabang; Jiang, Xutong; Zhang, Song; Wang, Hao; Dou, Wanchun (Chapter, 2020)
      With the rapid usage of location-based services (LBSs), protection of location privacy has become a significant concern. Existing dummy-based methods mainly consider generating dummies in continuous queries, which neglects ...

    • Fast-FineCut: Grain boundary detection in microscopic images considering 3D information 

      Ma, Boyuan; Ban, Xiaojuan; Su, Ya; Liu, Chuni; Wang, Hao; Xue, Weihua; Zhi, Yonghong; Wu, Di (Peer reviewed; Journal article, 2018)
      The inner structure of a material is called its microstructure. It stores the genesis of a material and determines all the physical and chemical properties. However, the microstructure is highly complex and numerous image ...

    • FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion 

      Xu, Guoxia; Deng, Xiaoxue; Zhou, Xiaokang; Pedersen, Marius; Cimmino, Lucia; Wang, Hao (Peer reviewed; Journal article, 2022)
      Multimodal image fusion is the process of combing relevant biological information that can be used for automated industrial application. In this article, we present a novel framework combining fractal constraint with group ...

    • A Feature Discretization Method Based on Fuzzy Rough Sets for High-resolution Remote Sensing Big Data Under Linear Spectral Model 

      Chen, Qiong; Huang, Mengxing; Wang, Hao; Xu, Guangquan (Peer reviewed; Journal article, 2021)
      As one of the most relevant data preprocessing techniques, discretization has played an important role in data mining, which is widely applied in industrial control. It can transform continuous features to discrete ones, ...

    • A Feature Discretization Method for Classification of High-Resolution Remote Sensing Images in Coastal Areas 

      Chen, Qiong; Huang, Mengxing; Wang, Hao (Journal article; Peer reviewed, 2021)
      Feature discretization is one of the most relevant techniques for data preprocessing in remote sensing research area. Its main goal is to transform the continuous features of images into discrete ones to improve the ...

    • Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels 

      Zhang, Zhuorui; Dai, Hong-Ning; Zhou, Junhao; Mondal, Subrota Kumar; García, Miguel Martínez; Wang, Hao (Peer reviewed; Journal article, 2021)
      After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment systems, the cryptocurrency market has rapidly gained popularity. Consequently, the volatility of the various cryptocurrency prices ...

    • A framework for using humanoid robots in the school learning environment 

      Mishra, Deepti; Parish, Karen; Lugo, Ricardo Gregorio; Wang, Hao (Peer reviewed; Journal article, 2021)
      With predictions of robotics and efficient machine learning being the building blocks of the Fourth Industrial Revolution, countries need to adopt a long-term strategy to deal with potential challenges of automation and ...

    • Fraud Risk Monitoring System for E-Banking Transactions 

      Guo, Chaonian; Wang, Hao; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2018)
      Fraudulent e-banking transactions have caused great economic loss every year. Thus, it is important for financial institutions to make the e-banking system more secure, and improve the fraud detection system. Researches ...

    • Fuel Saving in Coastal Areas: A Case Study of the Oslo Fjord 

      Hjelmervik, Karina Bakkeløkken; Schøyen, Halvor; Wang, Hao; Osen, Ottar (WMUSTUD;volume 6, Chapter, 2018)
      Fossil fuels such as marine diesel oil (MDO) account for a significant part of the shipping industry’s total operating costs and have a certain negative impact on the environment. Maritime transport emits around 1000 million ...

    • Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters 

      Ma, Sike; Zhao, Meng; Wang, Hao; Shi, Fan; Sun, Xuguo; Chen, Shengyong; Dai, Hong-Ning (Chapter, 2021)
      The appearance of tumor cell clusters in pleural effusion is usually a vital sign of cancer metastasis. Segmentation, as an indispensable basis, is of crucial importance for diagnosing, chemical treatment, and prognosis ...

    • FVRD: Fishing Vessel Relations Discovery Through VMS Trace Analysis 

      Huang, Haiguang; Hong, Feng; Wu, Zexin; Feng, Yuan; Liu, Chao; Wang, Hao; Guo, Zhongwen (Chapter, 2018)
      The sailing information of fishing vessels are recorded through Vessel Monitoring Systems (VMS), which provides the basis to discover the spatial-temporal pattern of fishing activities. Previous research calculates the ...

    • Gold Price Forecast Based on LSTM-CNN Model 

      He, Zhanhong; Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter, 2019)
      An accurate prediction is certainly significant in financial data analysis. Investors have used a series of econometric techniques on pricing, stock selection and risk management but few of them have found great success ...