-
Chapter and Conference Paper
Kiwifruit Counting Using Kiwidetector and Kiwitracker
Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and assist the farmers to develop reasonable harvesting strategies in advance while significantly reducing human labors...
-
Chapter and Conference Paper
SeCPlat: A Secure Computation Platform Based on Homomorphic Encryption in Cloud
To achieve diversified secure computations on encrypted data, in this paper, we propose and demonstrate a Secure Computation Platform (SeCPlat) based on homomorphic encryption in cloud environments. Using the Pai...
-
Chapter and Conference Paper
Multiscale Kiwifruit Detection from Digital Images
In this paper, we propose an improved YOLOv8-based Kiwifruit detection method using Swin Transformer, aiming to address challenges posed by significant scale variation and inaccuracies in multiscale object det...
-
Chapter and Conference Paper
Study on Mixing Characteristics of the Heavy Oil and the Light Oil Based on Experiment and Numerical Simulation
Adding the high condensate point heavy oil to low-temperature light oil forms gelled crude oil, which brings a new challenge for pipeline mixing flow assurance. This study utilizes a lab-scale stirring tank to...
-
Chapter and Conference Paper
Research on the Delay Characteristics of 5G Communication Networks for Regional Protection in Power Distribution Grids
The integration of new energy sources has led to bidirectional power flows in distribution grids. Investigating delay characteristics in 5G networks is crucial for supporting centralized regional protection se...
-
Chapter and Conference Paper
Computational Analysis of Table Tennis Matches from Real-Time Videos Using Deep Learning
In this paper, utilizing a multiscale training dataset, YOLOv8 demonstrates rapid inference capabilities and exceptional accuracy in detecting visual objects, particularly smaller ones. This outperforms transf...
-
Chapter and Conference Paper
A High-Accuracy Deformable Model for Human Face Mask Detection
Human face mask detection leverages computer vision technology to discern whether individuals in images or videos are wearing masks. Ensuring proper mask usage is crucial in settings such as hospital operating...
-
Chapter and Conference Paper
A Communication Assistive Glasses for Hearing Impaired Users
Communication is a fundamental right of all people to be able to express one’s opinion and expression without distinction of language. People suffering hearing loss however are having their rights suppressed i...
-
Chapter and Conference Paper
Enhancement of Human Face Mask Detection Performance by Using Ensemble Learning Models
Given the prevalence of worldwide pandemics, the need of adhering to appropriate mask use becomes more paramount. Therefore, the importance of develo** a human face mask detection model that is both efficien...
-
Chapter and Conference Paper
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks
To find k neighbor users on social networks, the efficient approximate nearest neighbor search (ANNS) is useful. Existing graph index methods have shown attractive performance, but suffer from inaccuracy w.r.t. u...
-
Chapter and Conference Paper
Optimization Model for Bus Bay Stop Design Parameters Based on Trajectory Data
To improve the quality of bus service, this study investigates the process of lane change for bus bay entrances and exits. First, using aerial photography technology and video data analysis technology, we extr...
-
Chapter and Conference Paper
Dynamic Output-Feedback Control for Multirate Positive Systems Under Round-Robin Protocol
This article is devoted to the problem of dynamic output-feedback control for a class of discrete-time multirate systems under the scheduling of the Round-Robin (R-R) communication protocol. In order to reflec...
-
Chapter and Conference Paper
Waste Classification from Digital Images Using ConvNeXt
In this paper, ConvNeXt is selected as a model for waste classification from digital images. ConvNeXt is a CNN-based backbone network that has been proposed to further improve the performance of models for vis...
-
Chapter and Conference Paper
Small Visual Object Detection in Smart Waste Classification Using Transformers with Deep Learning
Smart object waste classification is relatively essential for protecting the environment and saving resources. This is considered a vital pathway towards sustainability. In waste classification, we see that it...
-
Chapter and Conference Paper
A Real-Time Kiwifruit Detection Based on Improved YOLOv7
In New Zealand (NZ), agriculture is an essential industry, Kiwifruits contribute significantly to the country’s overall exports. Traditionally Kiwifruits require manually picking up and heavily relies on human...
-
Chapter and Conference Paper
The Development of Power Grid Digital Infrastructure Based on Fuzzy Comprehensive Evaluation
In order to determine the development form of the new digital infrastructure of Jilin power grid, the key factors affecting the development form are analyzed. The paper first summarizes and sorts out all kinds...
-
Chapter and Conference Paper
Traffic Sign Recognition from Digital Images by Using Deep Learning
Traffic signs are essentially needed to obey the traffic rules. Once a driver ignores the signs, especially those critical signs, due to the complexity of actual traffic scenes or the influence of inclement we...
-
Chapter and Conference Paper
Automatic Bleeding Risk Rating System of Gastric Varices
An automated bleeding risk rating system of gastric varices (GV) aims to predict the bleeding risk and severity of GV, in order to assist endoscopists in diagnosis and decrease the mortality rate of patients w...
-
Chapter and Conference Paper
Research and Analysis of Primary Energy System Technology for Electromagnetic Launch
As an important compontent of the electromagnetic launch system, the primary power system largly determines the research progress and application potential of the Electromagnetic Emission technology. Based on ...
-
Chapter and Conference Paper
Analysis of Driver Navigation Software Use Experience Based on Structural Equation Model
To explore the key factors affecting drivers’ experience of using navigation software, 306 valid questionnaires about basic personal attributes, perceptual experience, interactive experience, and emotional exp...
