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2421 articles
Proceedings Article

Detection and Separation of Multi-component Radar Emitter Signal

Xiaofeng Wang, Guoyi Zhang, Lijun Qi
The problem of multi-component radar emitter signal processing is studied, an effective method based on time-varying filtering is proposed to detect and separate the multi-component signal in radar reconnaissance occasion. Each signal component in the time-frequency plane is detected by the region growing...

Deixis in Chinese Written Discourse Text in Daily Newspaper 国际日报 Guoji Ribao

Yogi B. Adimas, Muhammad F. Masrur, Subandi Subandi, Hans Y. T. Dasion, Cicik Arista, Rendy Aditya
Reference is deixis following the context of the language so that it always changes and appears in various situations and language events, resulting in the meaning of the reference in one lingual unit being different. This study examines the form of person and time deixis and their forms of reference...

Are Students’ Adaptive Capacity to Earthquake Disasters Correlated with Their Knowledge?

Risma Adelisna, Yunus Aris Wibowo
The level of knowledge and adaptive capacity needs to be analyzed because both components are an effort to improve natural disaster mitigation. This study aims to analyze the relationship between the variable level of knowledge and the adaptive capacity of students to natural earthquake disasters at...
Proceedings Article

Gesture recognition algorithm design and implementation of interactive projection system

Chao Xu, Yaohua Deng, Liming Wu, Chen Xu, Qiaofen Zhang
With the development of multimedia computer technology , interactive projection is becoming an interactive display system and entertainment in people's daily life.Interactive projector based on actual needs, design gesture based feature extraction algorithm Hu moments, identified by SVM classification...
Proceedings Article

Research on adaptive network theft Trojan detection model

Ting Wu
This paper intends to establish theft Trojans detection system capable of adaptive dynamic feedback learning. To achieve this goal, this paper first studies the characteristics of the network data stream and theft Trojans communication data stream, then introduces support vector machine algorithm based...
Proceedings Article

Short-term Load Forecasting of Local Power Grid Based on Support Vector Machine

Jing Hua, Wei Xiong, Yanping Zhou
Short term load forecasting is an important basic work for power system planning and scheduling, short term load forecasting method based on SVM is adopted in this paper, through analyze the factors that influence the load forecasting and normalize the factors which influence the load forecasting. Using...
Proceedings Article

Logo Localization and Recognition Based on Spatial Pyramid Matching with Color Proportion

Feng Wenya, Chen Zhiqian, Hou Yonggan, Liu Long, Guo Yilin
In this paper, we propose a novel logo localization and recognition model in which we use the spatial pyramid matching with color proportion to train a score function and the Efficient Subwindow Search (ESS) to localize region and recognize specific logo. Our model has two advantages compared with other...
Proceedings Article

Dynamic gesture recognition and human-computer interaction

Jiali Zhang, Guixi Liu
In this paper, the recognition algorithm of dynamic gestures, which based on depth information, is proposed. A new human-computer interaction controlled by dynamic gestures is also achieved. The proposed algorithm extracts Histogram of Oriented Gradients (HOG) and weighted Hu invariant moments from RGB...
Proceedings Article

Lingualeader: Language Prediction and Detection

C. Lavanya, Rama Bansidhar Dan, S. Diksha, Jithin J. Nair, Aryan Ghai, Ankita Yankanchi
Language barriers are significant hurdles, affecting global communication, thus impacting sectors like business, tourism, and education. LinguaLeader A language translation app coded on python and streamlit providing a real-time multilingual translation. Google Translation API This app incorporates Google’s...
Proceedings Article

Mapping Modeling Method of Tower Parking System Structure Based on Support Vector Machine

Gening Xu, Kun An, Bin Zuo, Jiarong Chen, Yaoyao Wang
Aiming at the problem of large amount of calculation and solving inefficiency when using finite element software to analyze the “whole model” of complex space steel structure, the mapping model method built on the basis of SVM (Support Vector Machine) theory is proposed to reduce computation and enhance...

Exercise Models and Physical Conditions to Improve Futsal Play: Literature Review

Rifqi Fatkhan Nawawi, Muhad Fatoni
Exercise is a human need as a refresher amid a routine of daily activities and fitness in the hope that the body will stay healthy and fit. Various types of sports activities dominated during the boom such as tournaments, competitions, and leagues both at the national and international levels, especially...

A Literature Review of Diffusion of Responsibility Phenomenon

Dening Liu, Xiaoyan Liu, Shuyi Wu
The concept of the diffusion of responsibility has been well studied with sufficient empirical attention. However, there is no literature review on this topic currently, so this review aimed to examine the existed literature on the topic of the diffusion of responsibility. Google Scholar and Baidu Scholar...

The Effects of Moral Awareness and Ethical Behavior on Product Innovation with Creativity as Mediating Variable

Donny Wibowo, Hetty Karunia Tunjungsari
The purpose of this study was to test the mediating effect of creativity in the influence of moral awareness and ethical behavior on product innovation among SMEs. We collected data using online google form and 100 SME’s owners in Greater Jakarta were participated in this survey. Data analysis in this...

The Negative Influence of Social Media on Transgender Group Self-identity in The East Asian Society

Zhu Luo, Chuhan Shen, Jingyang Zheng
Transgender people have undergone unjust treatments due to the traditional social judgment standards of the male and the female as a minor social group, which won a lot of attention in the years of the internet. This literature review focuses on the negative impact of social media on transgender people’s...

Research on Public Opinion on Twitter of 2022 Beijing Winter Olympics

Sentiment Analysis based on Support Vector Machine

Haotian Hou
Beijing 2022 Olympic Winter Games are important landmark events in China, and their hosting is of great significance. This study uses Python data mining, Support Vector Machine algorithm, and #LancsBox to analyze the sentimental tendency of comments under related topics on Twitter and summarize netizens’...
Proceedings Article

Stress Detection Using NLP and DL Models

Anil Vithalrao Turukmane, Lakshmi Narayana Avula, Chaitanya Gunji, Reddy Nithish Kumar Devapatla, Somnath Ambati
Many people use social media platforms these days to post tweets about their everyday lives that reveal their mental health. Stress must be identified and dealt with before it becomes a serious issue. a considerable of casual communications shared every day on blogs, chat rooms, and social networking...
Proceedings Article

A Comprehensive Multimodal E-mail Spam Detection Farmwork— An analysis of significance and challenges

S. Sri Saye Lakshmi, K. Shantha Kumari
Email spam endures to pose a momentous cybersecurity threat by manipulating polymorphism, complication, and multimodal content to detour traditional detection mechanisms. Prevailing rule-based and single-modality-based machine learning methods characterize the limitations in becoming accustomed to budding...

Analysis Of User Satisfaction Surveys Of Electronic-Based Government System Services In Realizing Integrity Zones

Deby Febriyan Eprilianto, Dita Perwitasari, Riyadi, Refti Handini Listyani, Dinar Rizky Listyaputri, Yuyun Eka Kartika Sari, Yeni Puspitasari, Nur Fadillah Sebti Sulistiana
The integrity zone is the concept of organizing quality public services. Every service provider is currently competing to get the title as an integrity zone area. One of the efforts to support the implementation is through the implementation of an electronic scholarship government system. The Faculty...
Proceedings Article

Research on the Application of Multimedia Technology in Junior High School Music Classrooms

Zongchen Hou, Ruicong Ma, Chulan Xue
Music education is an important part of quality education in our country. Music education is an important way to improve people’s comprehensive culture and artistic accomplishment, and an important means to promote our music development. In the process of junior high school music teaching, the author...

Research on the America-China Market Economy

Linhan Liao
The relationship between the American and Chinese economies facilitates the creation of over 25 million employment opportunities in the United States. This relationship is not limited to specific sectors, but certain sectors thrive compared to others. It is crucial to understand how the relationship...

Service Quality of Public Service Malls: Study of Public Satisfaction Survey Analysis of Electronic Services

Deby Febriyan Eprilianto, Trenda Aktiva Oktraiyanda, M. Noer Falaq Amin, Melda Fadiyah Hidayat, Yuyun Eka Kartika Sari, Nur Fadillah Sebti Sulistiana
The presence of public services is to be able to achieve goals, namely, serving the rights of the general public and meeting the needs of the community for the necessary goods, services and administrative services. Therefore, it is the responsibility of the government to be able to create quality public...

Tracer Study Holders of Competency Certificate of LSP Unesa

Ricky Eka Putra, Karwanto, Diastian Vinaya Wijanarko, Junita Diah Pratiwi, Roni, Agung Listiadi, Muhammad Ariffudin Islam
Tracer study which is a form of survey to LSP Unesa which organizes competency certificates that have strategic value for the development of higher education. The results of this tracer study activity can be used to evaluate the LSP that provides competency certificates to students. To find out the competencies...

The Role of Digital Literacy in Realizing Learning Quality in Education Units

Ade Firmannandya, Eko Pamuji, Oni Dwi Arianto, Fitri Norhabiba, Jauhar Wahyuni
Technology is growing in all fields and human activities, and digitalisation is increasing. So, everyone must improve their ability to understand digitalisation. Understanding and using digital technology is important so that everyone can take advantage of digitalization. Previous research found that...
Proceedings Article

Research on Cucumber Downy Mildew Detection System based on SVM Classification Algorithm

Bingyu Zhou, Jingwen Xu, Junfang Zhao, Aiwen Li, Qiuyu Xia
Cucumber, a common economic crop, occupies a large proportion of vegetable cultivation in China. Plant diseases and insect pests, especially the cucumber downy mildew, are important causes for the decrease in the yield of cucumbers. In order to reduce the losses caused by pests and diseases and achieve...

Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network

Heli Wang, Haifeng Huang, Sibo Yu, Weijie Gu
Pages: 1672 - 1686
Diagnosing incipient faults of rotating machines is very important for reducing economic losses and avoiding accidents caused by faults. However, diagnoses of locations and sizes of incipient faults are very difficult in a noisy background. In this paper, we propose a fault diagnosis method that combines...

A Systematic Review of Interventions for Childhood Depression

Yang Chen
The incidence rate of childhood depression has been rising in the past few years, but the information and consciousness about it have not been popular at the same speed. The purpose of this paper is to describe the etiology, diagnosis and major interventions of depression in childhood. Although it is...
Proceedings Article

Fault Diagnosis based on Semi-supervised Global LSSVM for Analog Circuit

Chen Chen, Aihua Zhang
Aiming at the analog circuit performance online evaluation demand of the largest interval principle and underlying geometric structure, two online methods of dimension reduction are proposed for analog circuit performance evaluation from the angle of feature extraction, First, a supervised method of...
Proceedings Article

Aspire Guide: Career Guidance System Powered by Meta-Modeling

Amol Bhilare, Varad Sangole, Sarthak Sakore, Anurag Raut, Sania Khan
After finishing their senior secondary studies, a majority of students face confusion about what to choose as a career path and take an ample amount of time to decide on it. Traditional counseling methods fail to provide personalized, data-driven recommendations. So many uncertainties and so much more...
Proceedings Article

SVM-based analysis and prediction on network traffic

Weidong Luo, Xingwei Liu, Jian Zhang
With continuous scale-up of the network and increase of the kinds of the services on the network, more and more people pay attention to the modeling and prediction for network traffic. Recently, SVM (Support Vector Machine), a new machine learning method, is comprehensively used to solve the problem...
Proceedings Article

Design of smart printing System based on cloud computing

Haizhong Qian, Lili Cai, Chishe Wang
Much applications based on cloud computing has emerged. This cloud print, such as HP ePrint, Google print is one of the typical. Archiving the vision of cloud print must solve two key problems. One is supporting the variety of the printing format; the other is how to locate the print devices on the INTERNET....
Proceedings Article

The Application Based on Decision Tree SVM for Multi-class Classification

Huifang Hou, Ping Han, Dan Cao
Wastewater treatment process is a multi-class classification problem. While the traditional Support Vector Machines only deal with the binary classification. The traditional SVM has difficulty in solving the multi-class problems like wastewater treatment process. This paper presents a method by introducing...
Proceedings Article

Image splicing detection method based on particle swarm optimization (PSO) algorithm

Ling Gan, Xiao Liu, Kuanzhong Zou
Splicing is copy-move operation on different image, and it is one of the most commonly used operations of image tampering. Aiming at the poor performance on detection, a kind of image splicing detection method based on particle swarm algorithm is proposed. First, we extracted two different image features:...
Proceedings Article

Electrocardiogram Classification Method Based on SVM

Xiao Tang, Mo Zhiwen
Heart disease is one of the main diseases threatening human beings health, and electrocardiogram is the important basis of diagnosing cardiovascular disease. Therefore, the computer auto analysis of ECG remains the research hotspot in medical Engineering. Since the distinctiveness and variability of...

An Overview of Schizoid Personality Disorder

Tianxin Li
Schizoid personality disorder (ScPD) is a rare mental disorder, the field is young, and related research is not well-developed. This review used a systematic search on Google Scholar about researches on ScPD and fundamental information. The main purpose of this paper is to grow knowledge of ScPD and...
Proceedings Article

Design and Implementation of Android IT Job Alliance System

Hai Wang, Lan Huang, Wuchao Li, Wei Luo
In recent years, as the intelligent terminals developed rapidly, the combination of intelligent terminals and Internet has been an evident trend of information development and utility software. Based on the kernel of Linux V2.6, Android is the representative of mobile terminal, which is an open operating...
Proceedings Article

Intelligent Traffic Incidents Detection Method in Freeway Corridors

Binbin Zhou, Hexin Lv, Tiaojuan Ren, Yourong Chen, Ning Qiu
Traffic incidents detection has become an important issue in the past decades, which would result in a large amount financial cost and considerable reduction in traffic efficiency. Most previous studies mainly pay their attention on automatic incident detection in freeway corridors based on the traffic...

Music Emotion Recognition by Using Chroma Spectrogram and Deep Visual Features

Mehmet Bilal Er, Ibrahim Berkan Aydilek
Pages: 1622 - 1634
Music has a great role and importance in human life since it has the ability to trigger or convey feelings. As recognizing music emotions is the subject of many studies conducted in many disciplines like science, psychology, musicology and art, it has attracted the attention of researchers as an up-to-date...

Is College Students’ Happiness during Online Learning Affected by Academic Stress and Technology-Overload Perception?

Inge Andriani, Nurul Qomariyah, Henny Regina Salve, Rini Indryawati
Happiness has a positive impact both physiologically and psychologically. Students who feel happy can improve their academic performance and continue their studies. Changes in the learning system during the pandemic made the condition of students experiencing boredom in responding to academic loads and...
Proceedings Article

Primary User Signal Recognition Algorithm based on AL-ABM in Cognitive Network

Xin Wang, Kuan Huang, Na Zhang, Shi Wang, Changtao Wang, Shuai Wang, Xiuhong Wang, Wei Gong, Bin Wang
The cognitive users can use the spectrum holes which are vacant at some time or some frequency. Once the authorized users need to use the spectrum again, the cognitive users should stop using it to avoid interfering primary users. In this paper, a method based on active learning (AL) and AdaBoost machine...
Proceedings Article

A Multi-Layered Cybersecurity Framework for Fraud Detection in High-Frequency Stock Markets

S. Malathy, R. Anandhi, K. Ramya, S. Sivaranjani
High-frequency algorithmic trading environments are prime targets for cyber-enabled attacks such as spoofing, layering, and order injection, which threaten market integrity. Conventional fraud detection methods such as Logistic Regression (LR), Support Vector Machines (SVM), and Random Forests (RF) struggle...

Early-warning Model of Support Vector Machine Based on Hybrid Quantum-behaved Particle Swarm Optimization for Power System Operational Status

Jinchao Li, Fangwei Duan
In order to overcome the problem that the support vector machine (SVM) is not timely in the early warning of the electric power system operation status and the prediction precision is not high, the improved quantum particle swarm optimization algorithm is combined with the SVM to establish a model of...
Proceedings Article

Fire Recognition Based on Multiple Features of Video Images

Li-hong ZHANG, Xiu-qing LIU
As traditional fire detection techniques have many disadvantages, the fire image automatic recognition algorithm based on video image processing is studied. After the images are preprocessed, multiple fire features will be extracted. Feature extraction has a great influence on fire recognition accuracy....

The Influence of Planned Behavior of Medical Tourism Batam Residents on the Visit Intention to Seek Medical Treatment in Malaysia

Rita Henniwaty Gultom, Vidyarini Dwita
This study seeks to evaluate how planned behavior influences the intention of Batam residents to participate in medical tourism by obtaining healthcare services in Malaysia. Adopting a double regression model, the research explores the direct effects of independent variables on the dependent variable,...

The Course Design of Android Location Service

Jihong Cheng, Zhen Wang, Xiuli Tan
Location service is a special function in the Android OS, LBS app is an import field in the mobile application development. Using Baidu map SDK as a tool, the Android location service teaching course which comply with the Model-Driven teaching method in pursuit of teaching process repeatability, operability...
Proceedings Article

Rib Segmentation in Chest Radiographs by Support Vector Machine

Guodong Zhang, Haiping Wu, Wei Guo
The segmentation of ribs is one of the key problems for computer-aided diagnosis. This paper presented a novel scheme for rib segmentation in chest radiographs. The Gaussian filter was used repeatedly to remove uneven background of chest. Detail images could be obtained by use of the multi-scale wavelet...

Application of Modern Portfolio Theory in Stock Market based on Empirical analysis

Jiaming Hu
With the rapid growth of the stock market, stocks have been viewed as one of the most popular investments. Investors then face a problem that is how to allocate resources among the variety of stocks with the aim to increase their wealth through investment activities. The paper aims to design an investment...
Proceedings Article

Image Scene Classification Based on Fisher Discriminative Analysis and Sparse Coding

Jianliang Meng, Rui Ni, Ye Wang, Peng Zhao
Bag of visual words (BoVW) is currently widely utilized as an image representation model. However, conventional BoVW methods usually bring drawbacks such as large representation errors, lack of spatial information and weak discrimination. In order to overcome those, this paper proposes a new image scene...

Bibliometric Analysis of Social Engineering Research Trends in the Education Sector

Mupid Hidayat, Maulia Depriya Kembara, Rama Wijaya Abdul Rozak, Andi Bhakti
Skills social can in a way effective overcome complex problems, such as development Skills social For use practical. As a result of social media, there are risk Wrong interpretation and manipulation of others. Error Which general happen including miscommunication, data security, and problem other. Objective...
Proceedings Article

Music Chord Recognition Based on Robust PCP Feature and SVM

Hairong Cui
Music is the most direct and effective means to express emotion, and the effective identification of music works can help us better understand the works and realize the correct interpretation of music. This paper takes robust PCP feature and SVM as the research object. Firstly, the related concepts of...

How is HOTS Applied in Elementary Schools? A Review

Agrissto Bintang Aji Pradana, Aditia Eska Wardana, Putri Meinita Triana, Fitra Amaldi
In this technologically advanced period, every individual, especially students, is expected to be able to compete in all parts of life when confronted with the twenty-first century. HOTs-based learning is required in the field of education at this moment. This study employs Systematic Literature Review...