|
|
|
|
|
Conor Pirry, Hector Marco-Gisbert and Carolyn Begg
Memory errors are still a serious threat affecting millions of devices worldwide. Recently, bounty programs have reached a new record, paying up to USD 2.5 million for one single vulnerability in Android and up to USD 2 million for Apple?s operating syst...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrey V. Gorobets,Pavel A. Bakhvalov
Pág. 44 - 56
The paper describes a particular technical solution targeted at improving reliability and quality of a highly-parallel computational fluid dynamics code written in C++. The code considered is based on rather complex high-accuracy numerical methods and mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi Gao, Xiaofei Xu, Zhizou Yang, Liwei Lin and Jian Li
In recent decades, memory-intensive applications have experienced a boom, e.g., machine learning, natural language processing (NLP), and big data analytics. Such applications often experience out-of-memory (OOM) errors, which cause unexpected processes t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Preethika Kasu, Prince Hamandawana and Tae-Sun Chung
Various components are involved in the end-to-end path of data transfer. Protecting data integrity from failures in these intermediate components is a key feature of big data transfer tools. Although most of these components provide some degree of data i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dagoberto De León-Gordillo, Noé Amir Rodríguez-Olivares, Leonardo Barriga-Rodríguez, José Luis Sánchez-Gaytán, Jorge Alberto Soto-Cajiga, Guillermo Ronquillo-Lomelí and Tomás Salgado-Jiménez
Submarine gliders are specialized systems used in applications such as environmental monitoring of marine fauna, in the oil industry, among others. The glider launch and capture is a costly process that requires substantial technological and human resour...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Chao, Chaoning Lin, Tongchun Li, Huijun Qi, Dongming Li and Siyu Chen
Aiming to investigate the problem that dam-monitoring data are difficult to analyze in a timely and accurate automated manner, in this paper, we propose an automated framework for dam health monitoring based on data microservices. The framework consists ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yufan Yang, Chunlei Wei, Fan Yang, Tianyi Lu, Langfeng Zhu and Jun Wei
An algorithm based on a long short-term memory (LSTM) network is proposed to reduce errors from high-frequency surface wave radar current measurements. In traditional inversion algorithms, the radar velocities are derived from electromagnetic echo signal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Umair, Abubakar Sharafat, Dong-Eun Lee and Jongwon Seo
Virtual reality (VR) can potentially enhance various design and construction assessment intensive tasks, such as construction design and review. However, it may lead to cognitive overload, adversely affecting the participants? performance. It is critical...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arda Tezcan and Bram Bulté
Previous research has shown that simple methods of augmenting machine translation training data and input sentences with translations of similar sentences (or fuzzy matches), retrieved from a translation memory or bilingual corpus, lead to considerable i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shijin Yuan, Cheng Wang, Bin Mu, Feifan Zhou and Wansuo Duan
A typhoon is an extreme weather event with strong destructive force, which can bring huge losses of life and economic damage to people. Thus, it is meaningful to reduce the prediction errors of typhoon intensity forecasting. Artificial and deep neural ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuyi Zhou, Brandon J. Bethel, Wenjin Sun, Yang Zhao, Wenhong Xie and Changming Dong
Wave forecasts, though integral to ocean engineering activities, are often conducted using computationally expensive and time-consuming numerical models with accuracies that are blunted by numerical-model-inherent limitations. Additionally, artificial ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Yan and Hongyan Xing
In order for the detection ability of floating small targets in sea clutter to be improved, on the basis of the complete ensemble empirical mode decomposition (CEEMD) algorithm, the high-frequency parts and low-frequency parts are determined by the energ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhengfeng Xu, Weili Zeng, Xiao Chu and Puwen Cao
Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict detection and resolution and other air traffic management technologies. Accurate trajectory prediction can help increase the airspace capacity and ensure the safe ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Balduíno César Mateus, Mateus Mendes, José Torres Farinha and António Marques Cardoso
Predictive maintenance is very important in industrial plants to support decisions aiming to maximize maintenance investments and equipment?s availability. This paper presents predictive models based on long short-term memory neural networks, applied to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ageel Abdulaziz Alogla and Mansoor Alruqi
To err is an intrinsic human trait, which means that human errors, at some point, are inevitable. Business improvement tools and practices neglect to deal with the root causes of human error; hence, they ignore certain design considerations that could po...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yabo Duan, Huaizhan Li, Suqin Wu and Kefei Zhang
Inertial navigation is a crucial part of vehicle navigation systems in complex and covert surroundings. To address the low accuracy of vehicle inertial navigation in multifaced and covert surroundings, in this study, we proposed an inertial navigation er...
ver más
|
|
|
|
|
|
|
|
|
|
|
Johannes Hofmann,Christie L. Alappat,Georg Hager,Dietmar Fey,Gerhard Wellein
Pág. 54 - 78
We propose several improvements to the execution-cache-memory (ECM) model, an analytic performance model for predicting single- and multicore runtime of steady-state loops on server processors. The model is made more general by strictly differentiating b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Johannes Hofmann,Christie L. Alappat,Georg Hager,Dietmar Fey,Gerhard Wellein
Pág. 54 - 78
We propose several improvements to the execution-cache-memory (ECM) model, an analytic performance model for predicting single- and multicore runtime of steady-state loops on server processors. The model is made more general by strictly differentiating b...
ver más
|
|
|
|
|
|