Reviewerly/exHarmony huggingface dataset:
Internet + Smart Care Platform for Old People Based on Data Fusion

The process of aging society and Internet + services is accelerating. Home-based Internet + services smart elderly care has also attracted more and more attention. A new smart elderly care model based on data fusion of Internet + services has begun to enter people’s vision. It has become an important research topic on building an Internet + services smart care platform for old people based on data fusion. The following will explore the specific construction and design of the smart care platform for old people through people’s demand analysis and construction ideas for the Internet + services smart care platform for old people.
Research and application of film and television sound dynamic effect design system based on Artificial Intelligence

It includes both theoretical knowledge and practical experience. It is the research and application of a dynamic effect design system of film and television sound based on artificial intelligence. It is an artificial intelligence technology, which can be used to solve the problems in the film and television industry, especially in the field of sound waves. The main goal of this research work is to develop an intelligent software tool that can be used by all those who are interested in designing sound effects for movies, TV programs, video games or other media projects. The tool will include many functions, such as automatic sound generation, audio editing tools (cut / copy / paste), automatic sound creation from existing samples, and so on. What are the advantages of this system? 1) The system can be used in various movies, TV dramas, game programs, etc. 2) the effect can be easily changed by adding some new sounds or deleting some old sounds. 3) Designers don't need any special training, because they only need to know how to use the mouse and keyboard. 4) Designers don't have to worry about making mistakes in the following situations.
Graphical user interface for real-time monitoring and operation of computer big data analysis platform

In the information age, a remarkable feature is the arrival of the big data age, which directly leads to the continuous renovation of a large number of new technologies and products. Traditional methods often can not deal with data with high correlation and complex structure. Big data analysis is playing a more and more important role in many fields in China. This paper discusses the graphical user interface for real-time monitoring and operation of computer big data analysis platform, discusses the graphical user interface for real-time monitoring and operation of big data analysis platform based on in-formation analysis, and puts forward the development direction of big data analysis platform.
The improvement of data encryption technology in computer network security

With the continual advance of innovation and science and technology in Japan, Japan entered the information age. The development of computer technology and information technology brought us a lot of convenience in our work and life, its security problem has also caused a lot of trouble to us. With the improvement of people's attention to computer network security, data encryption technology is gradually used by people. Data encryption technology is a technology that encrypts the information exchanged between users or enterprises. Data encryption techniques can effectively guarantee user safety during use of a computer network. Then, in this paper, the concept of the data encryption technology, the basic algorithm, the main technology type, and the application in computer network security were arranged, and the research level of the data encryption technology in the computer network security was raised.
The method of determining the weight of the evaluation index of students’ comprehensive quality

The traditional comprehensive quality assessment of students focuses on students’ academic performance in school. This method of judging the development of students cannot objectively and truly evaluate the quality of a student. Some students have an excellent academic performance during their studies in school, but after graduation, the scores of comprehensive quality school do not seem to reflect the students’ performance in society. The reason is that in the work, what is needed is a truly comprehensive quality, and the comprehensive development of comprehensive quality has a better development space. With the advent of the era of information processing, students’ comprehensive quality management also needs to get rid of the traditional quality assessment methods. It is against this background that the comprehensive quality assessment of students in this paper is proposed. This paper proposes a comprehensive empowerment method for students’ comprehensive quality assessment combining fuzzy method and analytic hierarchy process, which can reasonably carry out the comprehensive quality assessment. It is convenient for school teachers and students to complete the evaluation work online, which can accurately and quickly analyze and rank different types of talents, and at the same time greatly enhance the practical application of the system and the rationality of the evaluation.
Application of collaborative filtering algorithm based on temporal behavior in power market power sales package recommendation system

The application of collaborative filtering algorithm based on time behavior in the electricity market electricity sales package recommendation system is to recommend electricity sales packages suitable for users. This method has been implemented in MATLAB and c++ programming languages. It is a multi-objective optimization problem consisting of two objectives: profit maximization and cost minimization. The objective function maximizes profits by selecting the most appropriate combination of power supply, demand forecasting and price forecasting, and minimizes costs by calculating the total revenue generated by each customer and the total cost generated in the forecasting process. As an important power commodity, power sales packaging is the carrier. In order to gain an advantage in the market competition, the power selling company improves the quality service level to customers from all aspects and improves customer satisfaction. One of their methods is to recommend power supply sales packaging. Aiming at the problems of data scarcity and cold start in collaborative filtering algorithm, a collaborative filtering algorithm based on time behavior is proposed. The algorithm first solves the historical data of the super user, analyzes the secret behavior preference information of the super user, and connects the activation of the super user to the sales kit. The results show that the improved algorithm effectively solves the data shortage and cold start problems of the synergy algorithm.
Research on smart contract technology based on block chain

The origin of blockchain technology is proposed as a globally distributed database ledger. Smart contracts are event-driven, full-state programs that run on blockchain systems and are used to store and process digital assets and information that exist in blockchain ledgers. The smart contract running on the current general platform can also achieve most of the practical functions of the traditional application system.The development and implementation of blockchain technology provides a good practical basis for the operation of practical application scenarios of smart contract, and smart contract technology can play a very important role in blockchain research. Smart contracts can be automatically applied to computer programs running on the blockchain to meet the conditions of the contract. This paper analyzes the research status and challenges of smart contract from the aspects of security, scalability and maintainability, and summarizes the basic concepts, sources and characteristics of block explicit contract technology. By understanding the development trend of smart contract technology, future application scheme, analysis of existing technical problems, and can predict the future development prospects of smart contract.
Performance based active early warning algorithm and system for mobile communication VoIP core network

In the process of emergency fault handling of mobile communication tele-phone core network equipment, network management personnel often find that many serious faults caused by non-hardware reasons are often hidden and difficult to locate. In this paper, a performance-based fault early warning method for mobile communication VoIP network is proposed and implemented in the form of system. The design purpose of this method is clear, especially for major faults that seriously affect the business. Through real-time collection, comprehensively and deeply analyze the operation status and key performance indicators of the network element, so as to give timely and ac-curate early warning of major faults.
Research on readers' Reading Promotion in the digital age

Promotion in the digital age is an exploration of how people use various technical tools to promote reading. This study will examine what types of tools and strategies are used, why they are used, and their effectiveness. Anyone with an Internet enabled personal computer or smart phone can participate in the study. All participants will be asked to fill out a short questionnaire to understand their reading habits, including which websites they visit to obtain information about books and authors, whether they read e-books (or other electronic formats), and which strategies help them maintain their motivation to read more frequently.
De duplication algorithm of campus culture communication documents based on keyword extraction

Campus culture communication in Colleges and universities refers to the process of transmission, acceptance, exchange, sharing and communication of campus culture communication content inside and outside the campus through certain media. Only in the process of communication can campus culture be widely contacted and absorbed by college students, and can its own development and innovation be realized. Only through communication can the role of campus culture in educating people be realized. This paper studies the de recalculation method of campus culture communication documents based on keyword extraction, in order to interpret university campus culture from a new perspective, and promote the construction of university campus culture while actively affecting college students' thought and behavior.
Artificial intelligence behavior prediction algorithm based on big data

Technology, 5g (fifth generation mobile communication network) technology is widely used, which makes the interconnection of all things gradually possible. Artificial intelligence derived from it has become the focus of industry research. However, at present, the hot spots of industry research are mostly from the perspective of the system. They study the informatization and system function requirements of artificial intelligence behavior prediction. The convenience of operation has been greatly improved, but it still needs human manipulation to realize the corresponding functions, which can not only evaluate and analyze the effect of data objectively but also explore the real potential behavior prediction.
Design and implementation of power question answering and visualization system based on knowledge graph

The power question answering and visualization system based on knowledge graph can accurately understand the questions described by users in natural language, and can play a key role in accurate question answering services. It is a more advanced way of human-computer interaction and can truly realize the semantic level Knowledge retrieval on. The system mainly includes three important modules: knowledge graph construction, question answering and web service. First, build a knowledge graph in the power field to provide a knowledge base for the implementation of the question answering system; secondly, two technical solutions based on AIML framework and basic question and answer pairs are used to obtain answers from the knowledge graph; then, the knowledge graph visualization and knowledge are realized in the Web service module. Graph expansion and other functions. The power question answering and visualization system based on knowledge graph implemented in this paper can not only meet the basic needs of information retrieval in the power industry, but also improve the user experience, which has certain practical significance and research value.
Research on knowledge representation learning method of diet knowledge graph

With the extensive research of knowledge graph in academia and the practical application in industry, knowledge representation learning of knowledge graph has become a hot research topic in the field of knowledge graph. In the field of recommendation systems based on knowledge graph, knowledge graphs are introduced into the recommendation model as auxiliary information, and a large amount of relevant semantic information contained in the knowledge graphs is mined to improve the comprehensive recommendation capability of the recommendation system. Based on the diet KG , this paper uses the TransD model to map the nodes, entities and relationships represented in the knowledge graph to a certain vector space and represent the original semantics in a vectorized way, laying the foundation for subsequent research on dietary recommendation.
Research and Application of Component-based Network Literature Theory System

With the development and popularization of Internet technology, the theory of network literature plays an increasingly important role in the education system, and plays a positive role in improving people’s education level and national quality. With the development of network technology, the corresponding network literature education management system is also developing. A good network literature education management system is conducive to improving the effect and quality of network education; It is conducive to expanding the business function of network education; Convenient education and learning. Although network education has been developed for many years, the current network literature education management system in China still has some shortcomings in the development process, such as high repetition rate, difficult to expand, long development cycle and so on. Based on the study of component technology and component-based software engineering, this paper puts forward the idea of developing a component-based network literature theory system. The research and application of component-based network literature theory system is a research carried out by the author to explore the application of component-based network literature theory system. This paper aims to show that the component-based network literature theory system has great application potential in different fields. This article will also provide some examples to illustrate how these components can be applied to real life, such as literary criticism or any other field of text analysis.
Analysis of student comprehensive evaluation system based on authority authentication

The comprehensive evaluation of colleges and universities is an important work to evaluate students’ abilities in all aspects. It is conducive to stimulating students to move forward in the direction of all-round development of morality,intelligence, physique and beauty, and to improve their personal comprehensive quality. At present, most universities still manage the work in the form of paper statistics or electronic documents, lacking a set of relevant computer products. This paper intends to analyze a set of modern comprehensive evaluation information management system according to the actual needs. The system will use the way of authority authentication to identify the identity of system users, and give different users different operations. It will not only improve the work efficiency, but also facilitate the management and interaction of data. After many discussions, it is agreed that the design is conducive to the comprehensive evaluation of colleges and universities.
3D visual art design method based on virtual reality

Vision is the most primitive perceptual impulse of human beings. Modern visual art widely exists in consumer life in daily life. It is a rational combination of visual enjoyment. Visual images such as advertising, film and television are the intermediary for people to express their desires. 3D visual art design method is a digital art creation method based on virtual reality. This process first creates a 3D model of an object or scene, and then uses computer graphics software to create a real image that can be viewed through VR goggles. This allows the artist to see the appearance of the work before it is actually created, thereby reducing pressure and improving accuracy. It also allows artists who have not been trained in traditional painting techniques to create high-quality images without having to learn new skills. Therefore, the research of 3D visual art design method based on virtual reality is an advanced computer interface, which has the basic characteristics of storage, interaction and imagination. Users perceive the information in the virtual environment by observing, listening, touching and other perceptual behaviors, interact with the virtual environment, cause real-time changes in the virtual environment, and create a human multi-dimensional information space, which has a wide application prospect.
Intangible cultural heritage protection and management based on blockchain Technology

This is an intangible cultural heritage closely related to national life, which has great spiritual strength and value. According to the characteristics of fascicles, consensus mechanism and encryption algorithm based on blockchain technology, this paper puts forward the optimized management of intangible cultural heritage to help stakeholders solve a series of problems in the process of intangible cultural heritage management. The main objective of the project is to protect intangible cultural heritage, including traditional knowledge, folklore and art. Protecting these resources requires a new approach that will help protect them for future generations. Blockchain technology can be used to create an efficient system to protect intangible cultural heritage by creating digital accounts. In this way, all information related to such resources will be stored in one place, and no one can modify or change them without the permission of their owners.
Investigating the effects of synthetic text generation for question answering: Empirical studies on E-commerce context

Identifying semantic relatedness among sentences helps improve semantic retrieval tasks such as frequently asked questions (FAQ) recovery. In this context, historical questions can aid in answering new ones. E-commerce platforms manage several clients’ questions, making them suitable for exploring FAQ retrieval to answer them. However, ranking semantic similarities in e-commerce must deal with specific details such as products, branches, voltage, etc. Small changes in these characteristics can drastically change the question objectives. Although there exist datasets that help us to train models to learn semantic similarity, they are composed of general questions which might derive from poor ranking for specific contexts. Most of these datasets are only available for English, limiting studies to other languages. In this research, we apply a Portuguese sentences’ generation model to train a similarity model for learning further aspects of the e-commerce context. Our approach helps to respond more accurately and improve the ranking qualities. We conduct several experimental evaluations to understand the effects of synthetic text generation techniques in this domain.
A Sound Deep Embedding of Arbitrary Normal Modal Logics in Coq

This work describes an encoding of modal logics using the Coq proof assistant. Our formalization differs from previous attempts by providing a uniform representation of several systems for modal logic using Coq’s rich type structure. We illustrate the usefulness of our library in a formalization of Löb’s theorem which closely follows a classical proof of this result.
Context injection in expert finding

Expert finding is a subject of research in information retrieval and, often, is taken to mean expertise retrieval within a specific organization. The task involves finding an expert on a given topic of interest. Even though there are several proposals in the literature, they do not consider the context in which the given expertise is bound. This paper introduces an approach to inject context into existing expertise evidence based on data extracted from the evidence. Our motivation is to provide context when describing the expertise associated with a candidate expert, allowing a user to understand the results better and choose the best candidate for the task.
A method for analysis of human temperament in contrast to social network data

Currently, with the growth of the use of social networks, the possibilities of studies on social relationships and interactions have grown significantly. Understanding how users express their feelings and manifest their temperaments in social networks can be a step towards anticipating psychological disorders. Instagram has billions of users and is among the most used social networks today. However, it is still little explored as a source of study for human temperament. This work aims to analyze the relationships between users’ temperament and their data collected from the social network Instagram. For the analysis of textual data, two sentiment classification strategies are proposed. The sentiment classification results were satisfactory, with accuracy above 80% in three different databases. In order to analyze the relationship between the temperaments and social network data, statistical tests are used. Each user is represented by their positive and negative captions, the use of emojis in their posts, and the number of likes in their posts. Users of the same temperament are contrasted with users of other temperaments. The results indicate that depressed users post more captions with positive sentiment than hyperthymic, angry and worried users. Anxious users have more likes than depressed, hyperthymic, angry and worried users, and finally, anxious users use more emojis in Instagram captions than depressed and angry users.
Evaluation of Open-Source E-Voting Systems Using Helios Voting in Public University Elections

In the ideal model, universities are naturally constituted by democratic decisions involving voting from different collegiate bodies, commissions, sectors, and the general community. Following the trend of digital democracy, electronic voting tools have been significantly applied in Public Universities in recent years, accentuated by the Covid-19 pandemic. One of the characteristics of electronic voting software is that they have several layers of security and protocols that protect the integrity of a virtual election. This paper used the “Attack Tree” and “Risk Assessment” methods to propose and present a heuristic method of security assessment, which could serve as a model for future digital elections applied in Public Universities.