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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:...

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...

the Intelligence based on the information physics system will enable humans to enter the fourth industrial revolution led by intelligent manufacturing in the next ten years, that is the industrial 4 era. Product of the whole life cycle and manufacturing process of digital and based on information communication...

The purpose of promoting green energy in various countries is to replace traditional hydroelectric or thermal power generation, especially nuclear power, which is a safety concern. However, in exploring the application of green energy, special attention should be paid to not only saving energy, but also...

As in recent years, rapid development of mobile phone hardware and operating systems such as Android, ios continue to optimize the market potential of the mobile market is gradually excavated, which created hear Lang stretch of mobile terminal APP. How to promote APP and make targeted deployment according...

The purpose of this project is to develop an operating system based on iOS Sina Weibo iOS client client software.This paper covers the development of Sina microblogging client some knowledge. The design with the Apple system to iOS as a system development and runtime environment, complete system design,...

In the post-epidemic era, short video platforms such as Douyin have developed rapidly, opening up more functions and models. The epidemic is both an opportunity and a challenge, hitting the tourism industry while providing opportunities for the development of tourism-based short videos. This paper adopts...

Smart parking systems are a new avenue to address urban parking challenges while maximizing the efficiency of space usage and reducing traffic congestion. This paper performs a systematic literary review (SLR) regarding on-going advancement of smart parking systems, which includes technology-enabled...

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 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...

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...

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...

English as a language, the most basic function is communication and communication, oral English learning is very important. Students in the school of English learning to should try education is given priority to, "dumb" English become the biggest obstacle to learning English. Using APP mobile client...

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...

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....

Aiming to the precision, information and intelligence development requirements of modern agriculture, the scheme of environmental parameters monitoring and automatic control for agriculture production based on cloud computation and internet of things is put up. Through sensors, zigbee wireless network,...

Vocabulary is one of the three elements of language, as an important position in English learning. Vocabulary has always been the various stages of English teaching's basic and difficulties. Mobile learning breaks through the time and space constraints of the traditional teaching model. The vocabulary...

Based on Citespace and literature measurement software and using visual analysis technology, this paper takes the literature on the research field of female images in Yuan Dynasty Miscellaneous Drama in CNKI journals from 1994 to 2023 as the research object. This paper focuses on the authors, institutions,...

In the silent corridors of the internet lies a digital underworld – the Dark Web, where anonymity empowers illicit trade, hidden communications and crimes that transcend physical borders. This study delves into the intersection of technology, law and deviance, examining how India’s existing legal frameworks,...

Rural governance is an important part of the modernization of national governance system and governance capacity, and it is also a key link to realize rural revitalization. In recent years, with the rapid development and popularization of digital technology, digitally empowered rural governance has become...

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...

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...

We examine the analysis of the Bollinger Band (BB) indicator to beat the market using mining stocks listed on the IDX for the 2019–2023 period. We used 15 research samples and collected the data through investing.com soft- ware. After that, the data analysis technique uses the event study method that...

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...

This study investigates the role of shareholder engagement, proxied by institutional and managerial ownership, and sustainability training in maximizing the extent of sustainability report disclosure. The research focuses on banking companies listed on the Indonesia Stock Exchange (IDX) between 2020...

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...

The study addressed the following issues: “How to Analyze Financial Performance in Saving and Loan Cooperatives in West Sulawesi using Cash Availability Proportion and Profitability Proportion. The focus of this research is the financial reporting of the Savings and Loan Cooperative in West...

Cite Space software is used to conduct a visual econometric analysis of 340 pieces of research literature on scientific and technological innovation in colleges and universities in the new era in the China Knowledge Network (CNKI) database from 2013 to 2023. Through in-depth analysis of the basic characteristics...

The development of mobile internet has brought great opportunities of self-improvement, and most people would like to choose an online education APP. At present, online education APPs have become a red sea, and the courses they can provide are similar to each other. Therefore, from the perspective of...

In recent years, artificial intelligence technology has made great breakthroughs. Big data, cloud computing, voice recognition and deep learning have become new concerns in the eyes of the public following the Internet and the Internet of Things. Driven by relevant information and communication technologies,...

The report of the Twentieth National Congress of the CPC puts education, science and technology, and talents into a ‘three-in-one’ overall arrangement and deployment, and for the first time puts forward the important statement that ‘education, science and technology, and talents are the basic and strategic...

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...

With the rapid growth of electronic medical records (EMRs) in China, large amounts of clinical data have been accumulated. However, limited work for extracting information from EMRs in Chinese has been conducted. In this work, using manually annotated dataset of EMRs in Chinese, we investigated the clinical...

To extract effective fault features from the nonstationary vibration signals of rolling bearing, this paper provides a fault recognition method by using complementary ensemble empirical mode decomposition (CEEMD) and support vector machine (SVM). Firstly, CEEMD is applied to process vibration signals...

Gorontalo Regency, located on the coast of Tomini Bay, is one of the coastal areas rich in marine resources, including squid. Squid catching has become an important activity for the local community in fulfilling their daily needs and also as a main source of income. This study aims to determine the local...

Machine learning, known as deep learning, enables computers to learn from data sets, and more importantly, to think and make decisions like humans. In latest years, this idea has become rather significant in the field of finance for being capable of handling complex tasks, such as predicting stock price....

Fatigue driving, a hot issue in the field of transportation research, has become a worldwide problem which always leads to traffic accident. Existing detection method always based on costly hardware platform sensors. By developing an android APP using image processing algorithm, we can lower the costs...

Trend in the Teaching of English as a Foreign Language currently has been substantially influenced by the transitional period, when teachers were requested to do their best efforts to adapt to the transitional learning situation. In 2023 the Ministry of Education and Culture launched a policy of freedom...

This study investigates the impact of Foreign Direct Investment (FDI) on welfare in ASEAN countries, with a focus on environmental degradation as a mediating variable and corruption as a moderating variable. Using panel data from seven ASEAN countries over the period 2012-2023, this research analyzes...

The least squares support vector machines to solve small sample, nonlinear show some advantages, is very suitable for prediction of complex field intensity in mine tunnel , but the choice of kernel function and parameters for predicting the results have greater impact .PSO optimizing LSSVM parameters...

This paper focuses on the expectations for the energy industry in 2023 when the market recovers from COVID-19. It provides a reference for a general overview of the trend of the energy sector and the outlook to world energy industry investment, which also extracts information from the current state of...

Traditional methods such as adaptive tracking-by-detection approaches generate a set of samples and, depending on the type of learner, producing training labels. ,However, it is not clear how to best perform their sample step. Furthermore, the objective for the classifier (label prediction) is not explicitly...

For the non-linear relationships of main influence factors of slurry pipeline safety status and the confusable problem of slurry pipeline safety status, this paper used the cross validation method to select the optimum parameters of the kernel function and combined the support vector machine to diagnose...

The phase vocoder[1] has long been a well established tool in pitch shifting technology. It analyzes and synthesizes audio signal via short-time Fourier Transform. Unfortunately, Fourier Transform leads to the inevitable inherent frequency leakage which decreases the accuracy of the pitch shifting effect...

Changes in the stock market have a significant impact on individual investment management and are closely related to economic research and market development trends in the country as a whole. If the trend of stock prices can be predicted more correctly, investors will make more scientific investment...

For Unbalanced Data Set, the KNN (K - the nearest neighbor) and SVM (support vector machine) classification algorithm’s prediction result would tend to most class; the misclassification rate of the minority class was big. This paper analyzed in detail the influence of unbalanced data set to KNN and SVM...

To solve the time-consuming problem and the low efficiency of the global exhaustive searching in the object tracking, this paper propose a new search strategy based on motion estimation and structural constraints. First, the motion vector of one object is calculated, associating with the location of...

Yogyakarta has considerable tourism potential, as evidenced by tourist visits within one year 2023 reaching more than 7 million. Yogyakarta is a city of historical and cultural values from the Hindu Buddhist period. The historical value of Yogyakarta is an attraction and potential in the world of tourism...

Aiming at the shortcomings of traditional fading channel forecasting algorithms, least square support vector machine(LS-SVM) is applied to predicting underground fading channel. In light of complicated and changeable underground environment, the measured data may be abnormal. Thus, an improved LS-SVM...

In today's world, everyone relies heavily on social media. The vast majority of individuals nowadays regularly use social media as their primary means of communication. Social networking site membership is growing exponentially every day, and many users are chatting with people across the world...