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Proceedings Article

Modelling of sludge discharge based on PSO-RVM

Long Luo
The sludge discharge model in wastewater biochemical treatment is highly nonlinear,Accurate prediction of sludge discharge will provide basic data for the precise control of subsequent sludge dewatering process In the research based on this method, due to the relevance vector machine(RVM) has high sparseness...
Proceedings Article

Real-Time 3D Hand Gesture Recognition from Depth Image

Lin Song, Ruimin Hu, Yulian Xiao, Liyu Gong
In this paper, we propose a novel real-time 3D hand gesture recognition algorithm based on depth information. We segment out the hand region from depth image and convert it to a point cloud. Then, 3D moment invariant features are computed at the point cloud. Finally, support vector machine (SVM) is employed...

Visual Communication Strategy of the Benefits from Balancing Consuming Sweet Stuff with Water

Chinthia Putri, Dinda Dinda, Anny Valentina
Consuming water according to your body’s daily needs is important and should be taken as a healthy lifestyle. Although it is known that consuming water has many benefits, many people still ignore this healthy lifestyle and choose to consume sugary drinks, sweet foods instead of drinking enough water....

Research on Extreme Financial Risk Early Warning Based on ODR-ADASYN-SVM

Shuanglian Chen
this paper uses index of Shanghai and Shenzhen 300 as research object, it will combines with ODR, ADASYN and traditional SVM, it puts forward one kind of improved SVM model--ODR-ADASYN-SVM model to predict financial market extreme risk in China, and it also makes evaluation on precision, stability of...

The mobile application software design research about the college students’ class notes based on mental model

Shangshang Zhu, Bengbeng Shi
Personal qualities of college students crucially depend on the learning conditions of themselves. As an important tool for learning of college students, taking notes in classroom is one learning strategy frequently adopted by college students during their learning in class. With the rapid development...

A Review of the Literature on the Effects of Lost Pregnancies on the Mental Health of Women and Childfree

Retna Tri Astuti, Rohmayanti Rohmayanti
In wealthy nations, miscarriage affects 10–25% of clinically recognized pregnancies, making it a common problem for expectant mothers. This may result in trauma, melancholy, grief, and depression, which may cause involuntary childlessness. The psychological effects of miscarriage and childlessness have...

Effect of Operating Leverage and Financial Leverage on Firm Value through Financial Performance

Sun Dewi Putri, Cepi Pahlevi, Fauzi R. Rahim
This study aims to analyze the effect of Operating Leverage and Financial Leverage on Firm Value through financial performance as an intervening variable in the food and beverage sub-sector on the Indonesia Stock Exchange (IDX) for the 2019–2023 period. This study uses a quantitative approach with data...
Proceedings Article

Smoke Image Recognition Based on Local Binary pattern

Tiantian Tang, Linhan Dai, Zhijian Yin
Smoke accurate detection, for the real-time fire detection and early warning has an important role. In order to overcome the problem that the smoke is low when the fire is burned, the video smoke detection method based on the local binary mode is proposed under the condition of disturbing the wind speed...
Proceedings Article

China Earthquake Disaster Loss Investigation and Evaluation: Design and Development of Online Examination Application

Damiao Zhu, Dongming Wang
After a destructive earthquake, it is of great significance for the country to effectively carry out emergency rescue, post-disaster reconstruction, and investment planning for earthquake prevention and disaster reduction with quickly, accurately, and comprehensively grasping the loss of the earthquake-stricken...
Proceedings Article

Primary User Signal Type Recognition Algorithm of Cognitive Radio Networks based on Active Learning in Building Indoors

Xin Wang, Zhijun Gao, Fenglong Kan, Peng Guo, Yuanwei Qi, Jiuyi Lü, Hongwei Li, Bin Wang
Primary user signal modulation type recognition performance of building indoor environment has been the focus of attention and research in low signal-to-noise ratio. In this paper, a method based on active learning and support vector machine (SVM) for the primary user signal modulation type recognition...

Digital Bonds in Long-Distance Relationships: A Study on New Forms of Intimacy Based on Suki

Lanxin Sun
Urbanization-driven mobility has made long-distance relationships increasingly prevalent, prompting the rise of vertical couple-oriented apps like Suki to sustain emotional bonds. Yet the mechanisms by which such apps construct virtual intimacy remain underexplored. Through semi-structured interviews...
Proceedings Article

Data Field-based Support Vector Machine for Image Classification

Yi Lin
In computer vision, object recognition is still a challenge. In this paper, a new method based on data field is proposed for image object classification with color histograms and diffusion distances. Among them, the topological potential is used to select the optimal parameters. The experimental results...

Construction of a Hybrid Learning Effectiveness Evaluation Model Based on Self-developed APP

Take the Actual Teaching Case of the Award-Winning Course “Signal and System” as an Example

Kexin Liu, Fengli Qi, Xiaobing Deng
At present, there are many blended teaching methods relying on the “Internet + Education” model, but most of them use existing software or online platforms, which inevitably leads to the problem of “less targeted and more limited”. In addition, the data analysis for testing the effectiveness of blended...

Impact of the Belt and Road Initiative on Fixed Asset Investment: A Study of Chinese A-Share Enterprises with Moderating Effect of Outward Direct Investment

Xinyue Zhao
This study examines the influence of the “Belt and Road” Initiative (BRI) on the fixed asset investment behavior of Chinese A-share listed companies in Shanghai, Shenzhen, and Beijing, with a particular focus on the potential moderating role of foreign direct investment in this relationship. Through...

Code Switching and Code Mixing in YouTube Channel Speech “Daily Tika Weixun” in China

Hans Y. T. Dasion, Maria Mintowati, Cicik Arista, Rendy Aditya
This research aims to describe the forms and factors that cause code mixing in the speech of YouTube Channel Daily Tika Weixun in China. This research is a descriptive type of qualitative research because the data is in the form of words, phrases, clauses and/or sentences contained in YouTuber Tika’s...

Development of a Peer Tutor-Based Psychosocial Support Model to Strengthen School Preparedness for Emergency Situations Due to Natural Disasters

Abdullah Pandang, Nur Fadhilah Umar, Abid Raisardhi Abdullah, Muhammad Rafli
Indonesia is highly vulnerable to natural disasters, which often result in severe psychological trauma for individuals affected, particularly children and adolescents aged 5–18 years. This study aims to develop a peer mentoring-based psychosocial support model to enhance school preparedness for emergency...
Proceedings Article

A Review of Using Support Vector Machine Theory to Do Stock Forecasting

Meizhen Liu, Chunmei Duan
support vector machine (SVM) is developed based on statistical learning theory new method, its training algorithm is essentially a problem of solving the quadratic programming. This paper summarizes the basic principle of SVM, and then use SVM to stock prediction research status at home and abroad were...
Proceedings Article

Exploration of Information Flipping Teaching Mode of Interior Design Course Based on the Background of Wisdom City

Hongxing Yi
Based on the intelligent city background, the interior design course also tries to use the information flipping teaching mode to carry on the daily teaching work. Flipping classroom changes the role of teachers and students in traditional teaching by reversing the arrangement of knowledge imparting and...

A Heuristic and ANN based Classification Model for Early Screening of Cervical Cancer

S. Priya, N. K. Karthikeyan
Pages: 1092 - 1100
Cervical cancer is one of the most leading causes of mortality among women worldwide. This deadly disease could be prevented by vaccines and easily cured if detected at an early stage. Various researchers focus on providing methods for unambiguous results of screening tests for early diagnosis of cervical...

The Role of Parents in Child Development: Literature Review

Reni Mareta, Endang Sutisna Sulaeman, Retno Setyowati, Dwiningtyas Padmaningrum
Introduction A child is someone aged 0–18 years. Children are assets for the family and the country which will later become human capital whose needs must be met in order to grow into quality human beings. Meeting the child's needs is entirely the responsibility of the parents. Parents...

Multidimensional Integration: Exploring the Practical Education of Broadcasting and Hosting Art in the Era of Integrated Media - A Case Study of “CCTV Host Competition”

Qianbubei Wang
In the era of integrated media, the broadcasting and hosting arts profession should focus on the comprehensive qualities of media professionals and their ability to adapt to the multimedia environment. This requires a fusion of multiple disciplines and dimensions, emphasizing the importance of practical...
Proceedings Article

Construction of SVM Classifier for Image Retrieval

Xuejing Ding
In order to make the image retrieval more quickly and efficiently, this paper proposed a new method to construct SVM classifier, it uses K-means clustering algorithm to find the representative sample in the image database, which effectively reduces the searching range of the target image, and then the...
Proceedings Article

Hand Vein Recognition with Single-layer Feature Learning Model

Haoyu Wang, Xiaomin Liu, Bingguang Chen
Performance of feature extraction and representation, sticking point of image recognition task, will directly influence the accuracy of final recognition. The traditional feature extraction algorithm of vein recognition is based on the sufficient prior knowledge of analysis on vein information characteristics,...
Proceedings Article

Automatic leukocytes classification by distance transform, moment invariant, morphological features, gray level co-occurrence matrices and SVM

Gai Pang, Yangkai Zhuang, Ping Zhou
Leukocyte is an important part of the immune system. According to the problem that manual operation is not efficient, a novel automatic classification of leukocytes is proposed in this paper. First, moment invariant based on Euclidean distance transform is extracted from nucleus area and morphological...
Proceedings Article

On System Identification Based on Online Least Squares Support Vector Machine

Bin Liu, Zhiping Wang
System identification is a fundamental topic of control theory, and LS-SVM has been applied to system identification. An online training algorithm of LS-SVM for system identi cation is presented, which is suitable for the data set supplied in sequence rather than in batch. The online algorithm avoids...

The Role of Cross-Cultural Understanding in Foreign Language Communication in Intermediate Japanese Language Learners

Lispridona Diner, Rina Supriatnaningsih
Cross-cultural communication occurs when humans with their culture relate to other humans who come from different cultures, interact, and even influence each other. Cross-cultural is a term that is often used to describe situations when a culture is confronted with another culture and both have a mutual...

Heritage, Identity, and Coastal Ecology: A Critical Analysis of the Cultural Advancement Masterplan of Tarakan City

Muh. Yusuf, Pawennari Hijjang, Ahmad Ismail, Andi Batara Al Isra, Abdul Masli, Millah Ananda Yunita
This article analyzes the Regional Masterplan for the Advancement of Culture (Rencana Induk Pemajuan Kebudayaan Daerah or RIPKD) of Tarakan City (2023–2043), a comprehensive policy document that outlines the vision, mission, strategic directions, zoning system, and multi-phase programmatic planning for...

Gait Recognition Based on Outermost Contour

Lili Liu, Yilong Yin, Wei Qin, Ying Li
Pages: 1090 - 1099
Gait recognition aims to identify people by the way they walk. In this paper, a simple but e ective gait recognition method based on Outermost Contour is proposed. For each gait image sequence, an adaptive silhouette extraction algorithm is firstly used to segment the frames of the sequence and a series...
Proceedings Article

Hand Vein Recognition with Bag of SIFT Feature Model

Fuqiang Li, Tongzhuang Zhang, Yong Liu
SIFT, which is widely used for feature extraction in image recognition task especially when image rotation, translation, uneven illumination occur, has been applied in vein recognition task more widely. However, mismatching between intra-class and inter-class, which is unbearable for personal identification...

Blue Economy Model to Increasing Coastal Community Income, Employment, and GRDP in South Sulawesi

Andi Dyna Riana, Rahmatia Rahmatia, Madris Madris, Nur Dwiana Sari Saudi, Muhammad Yusuf
The blue economy is emerging as a key development concept and business model driving Indonesia’s new economy. It is expected to enhance economic growth, social welfare, and ecological sustainability. This study analyzes the role of the blue economy, particularly the fisheries sector, in increasing coastal...
Proceedings Article

Analysis of Anemia Detection from Images of Eye Conjunctiva Using Machine Learning Algorithms

K. Uma, R. Parvathi, Poorva Agrawal, Aaditri Mittal
Anemia, which is a common medical condition seen in many parts of the world with classic manifestations of fatigue, Weakness and dyspnea. Early detection of Anemia helps to prevent its progression and timely treatment. The dataset used in this study contained 218 images of conjunctiva, a good indicator...
Proceedings Article

Application of SVM-Based Relevance Feedback in Image Retrieval

Xian.Wei Wu, Wen.Yang Yu, Yu.Bin Yang
In the page, we discuss relevance feedback techniques in image retrieval system, and then focus on the SVM-based relevance feedback. Using SVM-based relevance feedback, the precision rate of image retrieval system is satisfied. In order to better understand the effectiveness of SVM-based relevance feedback...
Proceedings Article

The Inquiring System Based on Wechat for the Instruction Information of Class

Chunfen Bu
Now the Tencent Inc launched WeChat application has become the majority of mobile phone users to install higher use rate of high school students, especially the very widespread application. WeChat public platform is the foundation of the Tencent Inc in WeChat add function module of an extended, through...
Proceedings Article

Detection of Plant Infections by Using Image Processing

Sonali S. Bhalerao, Sanjay P. Ghanwat, Ashok R. Tuwar, Abdul Hannan R. Dalal
The role of agriculture in global food security remains significant, but crop diseases continue to pose major challenges to yield and quality. Early approaches based on manual inspection are slow, costly, and impractical at scale. With the rise of artificial intelligence and image processing, automated...

How TikTok Satisfies the Public’s Psychological Needs—A Perspective From the Uses and Gratifications Theory

Jingjing Qiu
Dou Yin, known as TikTok, was launched in China in September 2016. This app allows users to create or view 15 to 60-second videos, soundtracked by music clips. After several years it was launched in the market, the downloads gradually surpassed the downloads of FaceBook. In this paper, the author analyzes...

Evaluating Entrepreneurial Opportunity in the New Photography Market

Xinliang He, Yifei Qiu, Yunxin Bai
This paper is an overall illustration of the company CHEESE, which contains detail information of the function of the CHEESE app, marketing strategy, competitive factors, and research analysis, based on the basic knowledge of economics, statistic, finance, and psychology. CHEESE aims at eliminating the...

Prediction Analysis of Artificial Landscape Water Eutrophication

Jiaoyan Ai, Haiyang Xu, Yajuan Cai, Sizhi Wu, Zengqiang Lei
The chlorophyll a (Chl-a) can express algae biomass, it is one indicator of the degree of eutrophication. In this paper, we take the Mirror Lake locate in Guangxi University as research object, and we fit the relationship between Ch1-a with every ecological factors in water by multivariate regression...
Conference Abstract

P.50 Radial Artery Phenotyping in Fibromuscular Dysplasia Through Ultra-High Frequency Ultrasound: A Radiomic Approach

Federica Poli, Rosa Maria Bruno, Francesco Faita, Hakim Khettab, Michel Azizi, Saverio Vitali, Mirco Cosottini, Davide Caramella, Lorenzo Ghiadoni, Stefano Taddei, Pierre Boutouyrie, Alexandre Persu, Xavier Jeunemaitre, Aurélien Lorthioir
Pages: S73 - S73
Rationale and Aim: This study is aimed at identifying possible patterns of vascular wall disarray and remodeling in radial arteries of patients with fibromuscular dysplasia (FMD), by means of ultrahigh frequency ultrasound (UHFUS). Methods: UHFUS scans of the radial arteries and of 30 FMD patients and...
Proceedings Article

Developing A-Freemium Mobile Games Software Based On Augmented Reality-Commerce

Ari Kusumaningsih, Cucun Very Angkoso, Ubaidillah Ubaidillah
Marketing methods for selling software have experienced many changes. In-app Purchase Method (IAP) is one of the breakthrough solutions in selling a freemium software, where users can download and use the application for free, but there are premium features that must be paid. One of the challenges on...

The Research on the Interaction Design of Fitness App Based on Flow Theory — A Case Study of Keep

Tianyue Qiu
In the context of the big data era, individuals increasingly utilize fitness applications to enhance their workouts. This study analyzes the flow states induced by the use of the Keep fitness app. The findings indicate that three key aspects of flow theory—establishing progressive goals, balancing abilities...
Proceedings Article

Research on Government Informatization: A Crisp-Set Qualitative and Comparative Analysis (csQCA) Based on 31 Province Government APP in Mainland of China

Xing Wang, Fanbo Li
With social progress and technological development, government informatization is an effective way for the government to provide public services to the public. The government APP is a typical product of government informatization. This study constructs a government APP evaluation system from the availability,...

Knowledge Mapping Analysis of Research Hotspots of Ethnic Culture Tourism in China - Based on the Data of CSSCI Database from 1998 to 2023

Yuqin Cheng, Bixia Ma
The purpose of this paper is to analyze in depth the research hotspots of ethnic culture tourism and its evolution trend by visualizing the literature data about ethnic culture tourism in CSSCI database from 1998 to 2023. Using Citespace software, this study systematically combed and visualized the keywords,...

The Development Prospect of Cleaning Robot in Chinese Market in the Next Ten Years

Siwei Zhang
The accelerating social pace of development has greatly occupied the disposable time of Chinese women at home. As a new type of household cleaning equipment, sweeping robot is gradually needed by more and more families. This paper first expounds on the pressure of modern women’s lives and the great impact...
Proceedings Article

Control Chart Patterns Recognition based on DAG-SVM

Zhongbao Xiao, Shuhong Chen
Statistical process control charts have been widely utilized in manufacturing processes for determining whether a process is run in its intended mode or in the presence of unnatural patterns, it’s a multi-class classifier problem. Effective approaches to recognize control chart patterns is essential...
Proceedings Article

A Short-term Load Forecasting Based on Support Vector Regression

Yu Lu
Load forecasting has become a significant part in national power system strategy management. In this paper, the Support Vector Regression (SVR) for Short-term Load Forecasting (STLF) is presented to predict the primacy of the industry power in the electricity composition. The Support Vector Machine (SVM)...

Research on Bearing Fault Diagnosis Method based on Attention Entropy-COA-SVM

Bing Liu, Yanshuai Yang, Zhentao Mi, Ruifeng Zhang, Yuxi Song, Guoqing Zhu
Aiming at the problem of bearing fault diagnosis, a fault diagnosis method based on Attention Entropy (AE) and Support Vector Machines (SVM) optimized by Coati Optimization Algorithm (COA) is proposed. Firstly, the attention entropy feature of bearing vibration signal is extracted, which can extract...
Proceedings Article

A New Phase Space Reconstruction Method for Prediction of Public Transit Passenger Volume

Xue Xiang-hong Xuex, Xiao-feng Xue, Xu Lei Xu X.
This article proposes a new method for prediction of public transit passenger volume based on phase space reconstruction and support vector machine (SVM); applies mutual information method in calculating the optimal time delay of time series of public transit passenger volume; applies Cao’s method in...

The Evolving Representation of the Three Kingdoms Period and Its Leading Figures in Chinese History, Literature, and Popular Culture

Tracing Cao Cao’s Influence from Historical Record to Contemporary Media

Mingyi Ma
This paper examines the evolution of the images of key figures from the Three Kingdoms period across different historical documents, classical literature, and modern popular culture. Drawing upon historical texts such as the record San Guo Zhi三国志 and folk novel Romance of the Three Kingdoms三国演义, as well...
Proceedings Article

An Empirical Study on Various Word Sense Disambiguation Techniques in the Biomedical Domain

Pawan Makhija, Sanjay Tanwani
Word sense disambiguation (WSD) in the biomedical domain is a composite task that involves establishing correct meaning of a word based on its explicit context within biomedical literature. Biomedicine literature, constitutes research papers, clinical reports, electronic health records, and pharmaceutical...

Evolutionary Characteristics of China’s New Urbanization Policies (2012-2023) --Based on quantitative analysis of policy texts

Bixia Ma, Yuqin Cheng, Kexin Cai
New urbanization plays an important role in supporting the construction of Chinese-style modernization, and working documents at the government level reflect the contents and tasks of new urbanization construction at different stages. This paper takes 143 policy documents issued at the national level...