A New Early Rumor Detection Model Based on BiGRU Neural Network

With the progress of society and the rapid development of computer technology, rumors arise on social media, which seriously affects the social economy. How to detect rumors accurately and rapidly has become one hot research topic. In this paper, a new early rumor detection model is proposed. The aim of this model is to increase the efficiency and the accuracy of rumor detection simultaneously. Specifically, in this model, the input data is firstly refined through account filtering and data standardization, then the BiGRU is used to consider the context relationship, and a reinforcement learning algorithm is applied to detection. Experimental results show that compared with other early rumor detection models (e.g., checkpoints), the accuracy of the proposed model is improved by 0.5% with the same speed, which testifies the effectiveness of this model.

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MODELLING OF AN INTRUSION DETECTION SYSTEM USING C4.5 MACHINE LEARNING ALGORITHM

FUDMA Journal of Sciences ◽

10.33003/fjs-2020-0404-502 ◽

2021 ◽

Vol 4 (4) ◽

pp. 454-459

Author(s):

Oyenike Mary Olanrewaju ◽

Faith Oluwatosin Echobu ◽

Abubakar Mogaji

Keyword(s):

Intrusion Detection ◽

Security Policy ◽

Learning Algorithm ◽

Detection System ◽

Knowledge Discovery In Databases ◽

Protocol Violation ◽

Detection Model ◽

Software Applications ◽

Detection Systems ◽

Proposed Model

The increasing growth of wireless networking and new mobile computing devices has caused boundaries between trusted and malicious users to be blurred. The shift in security priorities from the network perimeter to information protection and user resources security is an open area for research which is concerned with the protection of user information’s confidentiality, integrity and availability. Intrusion detection systems are programs or software applications embedded in sophisticated devices to monitor the activities on networks or systems for security, policy or protocol violation or malicious activities detection. In this work, an intrusion detection model was proposed using C4.5 algorithm which was implemented with WEKA tool and RAPID MINER. The model showed good performance when trained and tested with validation techniques. Implementation of the proposed model was conducted on the Network Security Laboratory Knowledge Discovery in Databases (NSL-KDD) dataset, an improved version of KDD 99 dataset, which showed that the proposed model approach has an average detection rate of 99.62% and reduced false alarm rate of 0.38%.

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DISPEL THE SOCIAL CAQUEL IN THE CONTEXT OF THE FORMATION OF INFORMATIONAL SOCIETY

Social Economics ◽

10.26565/2524-2547-2020-60-03 ◽

2020 ◽

Keyword(s):

Information Technologies ◽

Social Space ◽

Personal Information ◽

Rapid Development ◽

Social Economy ◽

Developed Countries ◽

Modern World ◽

The Social ◽

Modern Business ◽

High Standards

Rapid development of information society requires a way of general computerization and establishment of information and telecommunication technologies in almost all spheres of our present. In the fight against competitiveness and productivity, information, knowledge and the ability to manage information and knowledge in the modern world come to the fore. Social networks, social interaction between people is one of the components of the social economy, which is revealed and away is explored in social capital, representing not only the means of communication and communication, but also the mechanism of creating and constructing social space, having unlimited functions and prospects. In the era of globalism, when traditional methods of production, exchange and consumption of pellets in the summer, we witness new methods of decision-making, observing the transformation of the person him. Today, there is almost no person who has no connection with relatives, acquaintances, interest groups, and an integral part of the relationship is communication with business. Gradually, we ourselves transmit a lot of personal information that is analyzed, processed and then used, bringing into effect one of the main directions of development of modern business - a relationship and relationship with the client, attraction of new and interest of regular, already existing consumers. We are witnessing a historic moment of rapid growth of information technology and information security, especially in developed countries with high standards of living and it is the sphere of information development, in the near future, that will determine the political direction and economic role of the country in the world. The Internet enters every home and household, increasingly becomes the master of today and the main generator of the world’s limitless platforms, sends and gives landmarks to people, social groups, enterprises, organizations, authorities. The intensification of technological platforms carries not only the communication of all members of society to information resources, but also encourages active participation in exchanges, interactions and development of information technologies, which contributes to the implementation of self-expression, exchange of experience, improvement of their skills and skills, personal improvement, etc.

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Analysis of the innovation of construction technology in Civil Engineering

Smart Construction Research ◽

10.18063/scr.v0.591 ◽

2018 ◽

Cited By ~ 1

Author(s):

Peng Zhao ◽

Xuliang Zhuang ◽

Wenzhong Liu ◽

Bing Liang ◽

Xuan Yang

Keyword(s):

Construction Industry ◽

Civil Engineering ◽

Rapid Development ◽

Social Economy ◽

Social Needs ◽

Construction Technology ◽

Engineering Construction ◽

Construction Company ◽

The Social

With the development of our country's economy and society, the level of science and technology is constantly improving, and the construction industry is also booming. The construction technology has greatly affected the quality of civil engineering. Due to the rapid development of social economy, people's economic level and living standards have greatly improved. Therefore, people's requirements for the quality of civil engineering are getting higher and higher. Therefore, the construction company must continuously improve and innovate the civil engineering construction technology, and improve the quality of the construction project to meet the social needs.

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Application Analysis of Energy Saving Measures in Oilfield Electrical Engineering

Journal of Electronic Research and Application ◽

10.26689/jera.v3i2.785 ◽

2019 ◽

Vol 3 (2) ◽

Author(s):

Bin Tan ◽

Xiaoli Zheng ◽

Jiang Gao ◽

Xinghua Li ◽

Peisheng Cai ◽

...

Keyword(s):

Energy Conservation ◽

Energy Saving ◽

Emission Reduction ◽

Electrical Engineering ◽

Rapid Development ◽

Social Economy ◽

Basic Principles ◽

The Social ◽

Application Analysis ◽

Saving Effect

With the rapid development of the social economy, people are paying more and more attention to environmental issues. If society wants sustainable development, it must put energy conservation and emission reduction on the agenda. At this stage, China has vigorously promoted energy conservation and emission reduction, and all walks of life have gradually embarked on the green road of energy conservation. In recent years, energy saving measures has been widely used in China's oilfield electrical engineering. The author explores and analyzes the basic principles of energy saving measures applied in oilfield electrical engineering, and proposes an effective way to apply energy saving measures in oilfield electrical engineering, hoping to contribute to the energy saving effect of oilfield electrical engineering.

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Deep Learning Model for the Inspection of Coffee Bean Defects

Applied Sciences ◽

10.3390/app11178226 ◽

2021 ◽

Vol 11 (17) ◽

pp. 8226

Author(s):

Shyang-Jye Chang ◽

Chien-Yu Huang

Keyword(s):

Deep Learning ◽

Defect Detection ◽

Learning Algorithm ◽

Detection Methods ◽

Detection Accuracy ◽

Coffee Bean ◽

Accuracy Rate ◽

Detection Model ◽

Proposed Model ◽

Coffee Beans

The detection of coffee bean defects is the most crucial step prior to bean roasting. Existing defect detection methods used in the specialty coffee bean industry entail manual screening and sorting, require substantial human resources, and are not standardized. To solve these problems, this study developed a deep learning algorithm to detect defects in coffee beans. The results reveal that when the pooling layer was used to enhance features and reduce neural dimensionality, some of the coffee been features were lost or misclassified. Therefore, a novel dimensionality reduction method was adopted to increase the ability of feature extraction. The developed model also overcame the drawbacks of padding causing blurred image boundaries and the dead neurons causing impeding feature propagation. Images of eight types of coffee beans were used to train and test the proposed detection model. The proposed method was verified to reduce the bias when classifying defects in coffee beans. The detection accuracy rate of the proposed model was 95.2%. When the model was only used to detect the presence of defects, the accuracy rate increased to 100%. Thus, the proposed model is highly accurate in coffee bean defect detection in the classification of eight types of coffee beans.

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A Deep Content-Based Model for Persian Rumor Verification

ACM Transactions on Asian and Low-Resource Language Information Processing ◽

10.1145/3487289 ◽

2022 ◽

Vol 21 (1) ◽

pp. 1-29

Author(s):

Zoleikha Jahanbakhsh-Nagadeh ◽

Mohammad-Reza Feizi-Derakhshi ◽

Arash Sharifi

Keyword(s):

Early Stage ◽

Structural Features ◽

Proposed Model ◽

The Social ◽

Rich Information ◽

The Rich ◽

Real World Datasets ◽

Rumor Detection ◽

Content Information

During the development of social media, there has been a transformation in social communication. Despite their positive applications in social interactions and news spread, it also provides an ideal platform for spreading rumors. Rumors can endanger the security of society in normal or critical situations. Therefore, it is important to detect and verify the rumors in the early stage of their spreading. Many research works have focused on social attributes in the social network to solve the problem of rumor detection and verification, while less attention has been paid to content features. The social and structural features of rumors develop over time and are not available in the early stage of rumor. Therefore, this study presented a content-based model to verify the Persian rumors on Twitter and Telegram early. The proposed model demonstrates the important role of content in spreading rumors and generates a better-integrated representation for each source rumor document by fusing its semantic, pragmatic, and syntactic information. First, contextual word embeddings of the source rumor are generated by a hybrid model based on ParsBERT and parallel CapsNets. Then, pragmatic and syntactic features of the rumor are extracted and concatenated with embeddings to capture the rich information for rumor verification. Experimental results on real-world datasets demonstrated that the proposed model significantly outperforms the state-of-the-art models in the early rumor verification task. Also, it can enhance the performance of the classifier from 2% to 11% on Twitter and from 5% to 23% on Telegram. These results validate the model's effectiveness when limited content information is available.

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Sustainable Development of Green Paper Packaging

Environment and Pollution ◽

10.5539/ep.v6n2p1 ◽

2017 ◽

Vol 6 (2) ◽

pp. 1 ◽

Cited By ~ 4

Author(s):

Jiapeng Huang

Keyword(s):

Sustainable Development ◽

Rapid Development ◽

Social Economy ◽

Green Paper ◽

Packaging Materials ◽

The Sustainable Development ◽

The Social ◽

Green Packaging ◽

Packaging Industry

In recent years, with the rapid development of global industrialization, people’s quality of life has improved, and people are no longer satisfied with the quality of goods and purposes, the majority of people even choose goods based on the packaging of goods which cause the situation of excessive packaging become serious. As an important part of manufacturing, packaging industry should emphasize the development of environmentally friendly packaging. Recognized as one of the most promising green packaging materials, paper packaging materials accounted for more than 40% of packaging materials, however, unsuitable production and recycling of paper packaging pose a threat to the environment and the social economy. For the sustainable development of the paper packaging industry, this essay put forward the concept of "green paper packaging" through literature research. This essay will introduce the proper production and recycling of green paper packaging materials, discuss the structural design of green paper packaging, and looking forward to the development direction of green paper packaging, and come to the conclusion that not only need we use new materials and environmental friendly packaging structures, but also we should attach importance to the production and the recycling of the packaging so as to make sure the entire life cycle of packaging does not harm the human body and the environment.

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Analysis on the Current Situation of Social Security for Landless Farmers Under the Background of Urbanization

Proceedings of Business and Economic Studies ◽

10.26689/pbes.v4i4.2382 ◽

2021 ◽

Vol 4 (4) ◽

pp. 31-35

Author(s):

Taipeng Wang

Keyword(s):

Social Security ◽

Old Age ◽

Social Order ◽

Regional Economy ◽

Rapid Development ◽

Social Economy ◽

Medical Insurance ◽

Current Situation ◽

Old Age Security ◽

The Social

With the rapid development of China’s social economy, the economy of various regions has rapidly improved. At the same time, people are paying more attention to the issue of farmers’ social security. In order to realize the rapid development of regional economy and form a relatively stable social order, there is a need to improve the social security system of farmers so as to ensure that more people acquire basic social security rights. On this basis, based on the background of urbanization, this article studies the social security status of landless farmers in R city, and analyzes the old-age security as well as the medical insurance of landless farmers in R city.

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Prediction of Volleyball Competition Using Machine Learning and Edge Intelligence

Mobile Information Systems ◽

10.1155/2021/5595833 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Qiang Liu ◽

Qiannan Liu

Keyword(s):

Machine Learning ◽

Data Analysis ◽

Data Science ◽

Learning Algorithm ◽

Rapid Development ◽

Data Mining Algorithm ◽

Human Society ◽

Apriori Algorithm ◽

Proposed Model ◽

The Way

Data analysis and machine learning are the backbones of the current era. Human society has entered machine learning and data science that increases the data capacity. It has been widely acknowledged that not only does the number of information increase exponentially, but also the way of human information management and processing is completed to be changed from manual to computer, mainly depending on the transformation of information technology including a computer, network, and communication. This paper is aimed at a solution to the lag of the methods and means of volleyball technique prediction in China. Through field visits, it is found that the way of analysis and research of techniques and tactics in Chinese volleyball practice is relatively backward, which to a certain extent affected the rapid development of Chinese volleyball. Therefore, it is a necessary and urgent task to realize the reform of the methods and means of volleyball technical and tactical analysis in China. The data analysis and prediction are based on the machine learning and data mining algorithm applied to volleyball in this paper is an inevitable trend. The proposed model is applied to the data produced at the edges of the systems and thoroughly analyzed. The Apriori algorithm of the machine learning algorithm is utilized to process the data and provide a prediction about the strategies of a volleyball match. The Apriori algorithm of machine learning is also optimized to perform better data analysis. The effectiveness of the proposed model is also highlighted.

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