33 Result(s)
within
Conference Paper
**ang-ming Xu
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Chapter and Conference Paper
Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation
To enhance the efficiency of material distribution for battlefield unmanned platform delivery support tasks, research was conducted on the task allocation issues of unmanned platforms, aiming to improve the mi...
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Chapter and Conference Paper
Research and Application of Weak Alkali Ternary Compound Displacement and Prevention Integrated Agent
Daqing Oilfield weak alkali ternary composite flooding to improve oil recovery but also brought a certain oil well scaling problem, into the peak period of scaling, frequent pickling and scaling measures, coup...
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Chapter and Conference Paper
Research on Aerial Target Recognition Method Based on PSO-BP Neural Network
Air target recognition is one of the key links of air defense operation decision support. Aiming at the problems of slow solving speed and poor classification accuracy of traditional methods in solving the pro...
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Chapter and Conference Paper
Post-Quantum Public-Key Authenticated Searchable Encryption with Forward Security: General Construction, and Applications
Public-key encryption with keyword search (PEKS) was first proposed by Boneh et al. (EUROCRYPT 2004), achieving the ability to search for ciphertext files. Nevertheless, it is vulnerable to inside keyword guessin...
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Chapter and Conference Paper
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been pro...
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Chapter and Conference Paper
Research on the Alarm Threshold for Steam Generator Tube Leak Monitoring of Small Modular Reactor
On the basis of fully learning from the existing principles of leak monitoring alarm thresholds setting of the steam generator tube in pressurized water reactor nuclear power plants, the principle of setting f...
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Chapter and Conference Paper
Application of Intelligent Rodless Artificial Lift Technology in Shale Oil of Changqing Oilfield
The shale oil reservoirs of Changqing Oilfield are generally developed by large well clusters, 3-D long horizontal wells and subdivision cutting volume fracturing. The wells have a high liquid rate initially a...
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Chapter and Conference Paper
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning
While neural networks-based photo processing solutions can provide a better image quality compared to the traditional ISP systems, their application to mobile devices is still very limited due to their very hi...
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Chapter and Conference Paper
Long-Tailed Class Incremental Learning
In class incremental learning (CIL) a model must learn new classes in a sequential manner without forgetting old ones. However, conventional CIL methods consider a balanced distribution for each new task, whic...
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Chapter and Conference Paper
The Influence of Seawater Salinity on the Sedimentation Process of Tidal-Controlled Estuaries
The interaction between rivers and tides is an important part of studying the sedimentary process of estuaries. However, the existing research only considers the frequency and intensity of tides and ignores th...
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Chapter and Conference Paper
Study on the Planning and Development of Oil Production Engineering in Daqing Oilfield
The planning for oil production engineering plays a guiding role in the process of oil production and development, the research on the development of planning for oil production engineering in Daqing Oilfield ...
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Chapter and Conference Paper
“Six in One” Management Aiming at Improving Pump Inspection Period of ASP Flooding
Field application shows that ASP flooding can enhance oil recovery by more than 20% on the basis of water flooding, 10% more than polymer flooding. However, due to the existence of alkali, the scaling of mecha...
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Chapter and Conference Paper
3D-HEVC Deep Video Information Hiding and Secure Transmission Method
HEVC information hiding algorithm and DCT/DST video information hiding algorithm used in the past have poor hiding effect and low security transmission efficiency. In view of this phenomenon, a new 3D-HEVC dee...
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Chapter and Conference Paper
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks
Single image super-resolution (SR) has been boosted by deep convolutional neural networks with growing model complexity and computational costs. To deploy existing SR networks onto edge devices, it is necessa...
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Chapter and Conference Paper
Big Data Stepwise Regression Correction Method for Forearm Wrong Posture in Track and Field
The current large data correction method for track and field forearm wrong posture has not considered the forearm posture detection results and restricts the arm posture detection, resulting in the wrong forea...
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Chapter and Conference Paper
SOR Iterative Method for the Linear Rational Finite Difference Solution of Second-Order Fredholm Integro-Differential Equations
In this paper, a new three-point linear rational finite difference (3LRFD) formula is investigated, which is combined with the compound trapezoidal scheme to discretize the differential term and integral term ...
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Chapter and Conference Paper
Reliability Verification Scheme for Safety Class DCS and Its Implementation in Nuclear Power Plant
System Availability, Rejection rate and Malfunction rate are vital technical indicators for safety class DCS when evaluating the reliability of the control system to meet technical requirements. This trend has...
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Chapter and Conference Paper
Design and Implementation of Translation-Based Virtual DCS Based on Simulink
The translation-based virtual DCS based on Simulink can realize the function of virtualizing the physical DCS. This paper presents a method to virtualize physical DCS by using Simulink to realize the functions...
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Chapter and Conference Paper
Gradient-Induced Co-Saliency Detection
Co-saliency detection (Co-SOD) aims to segment the common salient foreground in a group of relevant images. In this paper, inspired by human behavior, we propose a gradient-induced co-saliency detection (GICD)...
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Chapter and Conference Paper
Deep Hough Transform for Semantic Line Detection
In this paper, we put forward a simple yet effective method to detect meaningful straight lines, a.k.a. semantic lines, in given scenes. Prior methods take line detection as a special case of object detection,...
