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2421 articles
Series: Advances in Engineering Research
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...
Proceedings Article
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...
Proceedings Article
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...
Series: Advances in Engineering Research
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...
Series: Advances in Engineering Research
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...
Series: Advances in Engineering Research
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Series: Advances in Engineering Research
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...
Research Article
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...
Proceedings Article
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...
Series: Advances in Engineering Research
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...
Proceedings Article
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...
Series: Advances in Engineering Research
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...
Series: Advances in Engineering Research
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...
Research Article
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...
Proceedings Article
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...
Proceedings Article
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....
Proceedings Article
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,...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...
Proceedings Article
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...