Reviewerly/exHarmony huggingface dataset:
Thoughts on the Ethical Anomie of Artificial Intelligence Technology in News Dissemination: based on Intelligent Data Flow Tracking Technology

Based on the intelligent data flow tracking technology, this paper studies the thinking of artificial intelligence technology in the ethical dissemination phenomenon in news communication. The ethical demonstration of artificial intelligence technology in news communication mainly has the following problems: First, news may have certain prejudices and cannot be very It is well controlled and regulated; then it weakens the media's role of public opinion supervision; secondly, it fails to effectively protect the public's information security and copyright; finally, artificial intelligence recommendations are easily affected by the information cocoon room and generate negative emotions in society. This article mainly elaborates the news dissemination in the new era of artificial intelligence, and analyzes and studies the reasons why artificial intelligence technology is ethical in news dissemination.
Design of Real-Time Cloud Sharing Algorithm for Second Classroom Activities in Higher Vocational Education based on Intelligent Terminal Equipment

The cloud environment uses cutting-edge technologies such as data storage, access, and processing to achieve free access to target hosts around the world, and cloud computing provides some commonly used service models and deployment models for customers. This paper first analyzes the main problems and causes of the second classroom activities in colleges and universities, and then explains the theory of multiple intelligences and its guiding role in the second classroom activities. While improving their comprehensive quality in the second classroom activities, it also allows students to improve their professional quality from design practice.
Fusion of Resource Sharing System Development Based on Block Knowledge Management System and Hadoop

This paper focuses on the design and development of a Hadoop-based enterprise knowledge management system. First, starting from the origin and related concepts of knowledge management, it explores the current research status of enterprise knowledge management at home and abroad, analyzes the bottleneck problems of the existing enterprise knowledge management system, and aims at non-existing enterprise knowledge management systems. Structured enterprise knowledge storage is difficult. Through the distributed file system HDFS and the MapReduce computing model, it provides a consistent data storage and business access interface to the outside world, and realizes unified management and parallel retrieval of massive teaching resources. Considering the characteristics of matrix block and the computing advantages of parallel framework, a parallel scheme of matrix block multiplication is designed. The focus is on the principle of crawler for collecting enterprise knowledge and HBase as knowledge storage, and the retrieval model and the mining models required to mine enterprise knowledge are elaborated.
An Eye-to-Hand Visual Servoing Controller of 3-DOF Robot Using Feature Matching Technology

In robotic control sectors, the image-based visual servo method is an advanced approach used to control the robot to the desired position by using pixels from cameras. We can control the robot flexibly to achieve high quality when the joint variables have little backflash. Applications of this method can be classified into two groups: eye-in-hand and eye-to-hand ones. In this paper, we employ the eye-to-hand method for position tracking control problems of robotic manipulators. Kinematics of the robot and camera are first derived based on homogenous transformation relation and pinhole models. The control technique uses the normalized difference between the pixel observed from the camera and the desired pixel to result in proper control signals throughout a flexible activation gain. The feasibility of this method will be demonstrated through comparative simulation results.
Classical Machine Learning Principles and Methods

The focus of this book is on deep learning for tabular data (don’t worry – you got the right book!), but there are many good reasons to first develop a solid understanding of classical machine learning as a foundation.
Tree-Based Deep Learning Approaches

In this last chapter of Part 2, we explore deep models that draw upon the success of tree-based models to inform their architectures and training processes. Together with attention-based models, this constitutes the majority of current tabular deep learning research. Tree-based models are well-adapted toward many domains of tabular data because of their sharp and rigidly hierarchical shape-cutting structure, compounded in ensembles. By creating neural network models that simulate these properties, we can hopefully realize these strengths on new scales and levels of efficiency.
Applying Attention to Tabular Data

Compared with the feed-forward, convolutional, and recurrent mechanisms discussed in Chapters 3 , 4 , and 5 , the attention mechanism has been popular in deep learning for a very short amount of time. Despite the brevity of its existence, it has become the basis of modern natural language processing models. Moreover, it is a very natural mechanism to compute relationships not just between tokens in a language sequence but also between features in a tabular dataset – which is why a significant body of recent work on deep learning tabular data methods centers on attention.
DEPICT THE ROLE OF FACTORS AFFECTING BEHAVIOR OF INVESTORS TOWARD SETTING THE INVESTMENT AVENUES AND CHOOSING THE BEST INVESTMENT PLATFORM: AN EMPIRICAL ANALYSIS

The present study depicts the role of various factors affecting the behavior of investors towards set investment platforms and their priorities in choosing the best investment avenues. Its first aim is to get fully acquainted with various factors: Demographics and other influencing factors affecting investors' behavior towards choosing investment avenues. The second aim is to find the best investment platform in the Indian financial system. The third one perceives investors' perceptions and behavior while choosing their best investment priority and selecting the best investment platform. And fourth measures the relationship between various factors and investment avenues. The study mainly concerns and focuses on generating new epistemology (knowledge) in financial investment decisions with the effect of influencing factors for choosing the best investments, simultaneously getting a conceptual framework with Financial Behavior &amp; Attitude glimpse. This study hypothesizes the demographic factors affecting behavior or not and measures relationships between other investment influencing factors &amp; investment avenues. The study has conducted an empirical analysis based on observation, personal experience, and data collection through generated questionnaire links shared with the target audience. The target audience is housewives, daily wage earners, working professionals, government employees, and businessmen, with a sample size of 160. The data analysis and measurement are based on Percentage Analysis, T-test, and ANOVA.
MULTILEVEL INTEGRATION: PROCESSES IN ENGINEERING EDUCATION

Engineering education is currently facing unprecedented challenges related both to the global trends of increasing interdisciplinarity of engineering and technical knowledge, and to the emerging economic situation that requires building new multidimensional relationships. Responses to these challenges require a systematic approach, the central link of which is pedagogical integration. It allows you to form engineering personnel in demand by the employer who have knowledge and skills in various, sometimes not even related fields and the ability to work in an interdisciplinary team. In modern conditions, we are witnessing the phenomenon of increasing the spread of such integration, which should be understood in the broadest sense, at several levels: from the global level of interaction between education, science, business, production (an example of which are advanced engineering schools), to the elementary level of interdisciplinary relations. One of the essential factors that, as our research has shown, can both contribute to and hinder the implementation of the integrative approach in practice is the understanding of its necessity on the part of the subjects of the educational process. The results of a survey conducted among students, postgraduates and teachers (mainly engineering universities) showed that not all of them are aware of the existence of interdisciplinary links, especially between humanities and technical, special disciplines. Many students do not pay enough attention even to the fact that knowledge and skills from several related, special fields of knowledge are required to perform any laboratory work. In this regard, we believe that special attention should be paid to this aspect both when teaching students, postgraduates, and when implementing teacher training programs. This will make it possible to more effectively form professional competence as a systemic neoplasm.
Coding for the Brain: RNA, its Photons, and Piagetian Higher-Intelligence through Action

Modelling human intelligence? Hyland identified three approaches: •Physiological, •Mentalistic (as if outside 3D space), and •Mechanistic. Arguably their apparent incompatibility arises from a mistaken choice of scale, centred on the synapse as a basic unit for thought. Instead RNAcodons are now proposed as those fundamental elements (cf. Hydén’s forgotten 1960s findings). This conclusion also seems compatible with both (i) information-technology’s digitisation, and (ii) Piaget’s concepts of “schèmes,” and developmental stages.
The Design and Research of Cross-media Retrieval

Nowadays, the rapid development of Internet technology drives the advance of the big data era, and along with the widespread use of smart devices and social media, multimedia data is growing explosively. With the increasingly complex and diverse needs of information exchange, collection and storage, the types of information have also evolved from traditional text information to diverse data forms such as pictures and video and audio, bringing different degrees of convenience to people's work and life and other scenarios. However, the huge amount of multimedia data also makes information storage and retrieval more cumbersome. How to realize the effective storage and efficient retrieval of data, so as to better utilize the value of multimedia data, is one of the challenges that academia and information industry are tackling nowadays. In this paper, we study the cross-media retrieval technology of text and image by Contrastive Language-Image Pre-training model based on natural language processing method. The cross-media pre-training idea proposed in this paper can be applied not only to text-image processing, but also theoretically to mutual retrieval of modal information of video and audio, etc.
Smooth Motion Planning of an Omnidirectional Mobile Robot in Dynamic Environments

In this paper, a real-time smooth motion planning method for a four mecanum wheeled omnidirectional mobile robot in dynamic environments that generates a smooth collision-free trajectory is proposed. The method employs a graph-search-based path planning algorithm and a smoothing technique based on clothoids. It is suitable for real-time operation due to its computational simplicity and allows fast path replanning in case the robot encounters unknown and dynamic obstacles. Such a path is feasible for holonomic mobile robots since it does not contain sharp turns so the energy consumption is reduced. Our method is compared to the reactive model predictive control scheme in simulations. The comparison showed advantages of the proposed method in the reduced task execution time, path length, cumulative replanning time, and smooth velocity profile.
Curating and extending data for language comparison in Concepticon and NoRaRe

<ns4:p>Over the past decade, there have been several attempts to standardize cross-linguistic datasets. Since language comparison is a notoriously difficult endeavor, it requires tools that facilitate standardization and are convenient to use. The Concepticon is based on a toolkit provided for cross-linguistic comparison and offers a reference catalog for comparable concepts that appear in concept lists. While curating the Concepticon, we found that a variety of studies in distinct research fields collected information on word properties. However, until recently, no resource existed that contained these data to enable the comparison of the different word properties across languages. This gap was filled by the Database of Norms, Ratings, and Relations (NoRaRe), which is an extension of the Concepticon. Here, we present the major release of both resources - Concepticon Version 3.0 and NoRaRe Version 1.0 - which represents an important step in our data development. We show that extending and adapting the data curation workflow in Concepticon to NoRaRe is useful for the standardization of cross-linguistic datasets. In addition, combining datasets from different research fields enables studies grounded in language comparison. Concepticon and NoRaRe include lexical data for various languages, tools for test-driven data curation, and the possibility for data reuse. The first major release of NoRaRe is also accompanied by a new web application that allows convenient access to the data.</ns4:p>
Implementasi Mobile Commerce Pada Poljamshop

Poljamshop is an information system that is used to market products at the Jambi Polytechnic and also collaborating partners. Currently there are only sales through the website and few visitors because they are not known to the public, so sales are still personal through mouth to mouth promotions or social media promotions. With this, e-commerce to help Poljamshop increase customer satisfaction to choose or order a product at Poljamshop. This application is made by developing a system using the waterfall method, the tools used to describe the model of this application system are Context Diagrams, Data Flow Diagrams (DFD) and Entity Relationship Diagrams (ERD). The purpose of this final project is to create a mobile commerce on Poljamshop.
Blockchain-based Academic Degrees Issuance and Attestation

Academic degrees are usually issued in paper form and can be tempered easily. As the current systems lack transparency, immutability, and security, the verification of these degrees is a time-consuming and complicated process. In this paper, we present a blockchain-based solution for academic degrees issuance and verification in Pakistan.
PHD Filter Based Traffic Target Tracking Framework with FMCW Radar

Aiming at tracking traffic target based on frequency modulated continuous wave (FMCW) radar in traffic scenes, this paper proposes a robust Gaussian mixture probability hypothesis density (GM-PHD) filter combined with measurement processing. Due to the different recognition requirements of moving and static targets in this application, the raw measurements are separated into moving and static parts. To deal with the problem of extended target, a density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to cluster the moving measurements and then extract the feature measurements. After the above two steps, the number of measurements input to PHD filter is reduced, which ensures the real-time performance and accuracy of the algorithm. In order to solve the problems of the PHD filter with track information in traffic scenes, this paper proposes some improvements, including target birth intensity generation, track merging and extraction, and target weight correction. The experimental data is used to compare the proposed algorithm with the conventional algorithm, which proves the advantages of the proposed algorithm.
Multimedia Test set System - MuTeSys

Currently the measurement of the quality and the performance of multimedia systems is often evaluated by hand with a small number of images and videos, software and hardware platforms, and a small group of system parameters. This restricts the completeness and the meaningfulness of the measurement and needs a big amount of time and resources. To overcome these limitations, we create a framework for the generation of test sets for recent multimedia workflows (MuTeSys). Based on an abstract description each test case, its transformation to the designated target platforms as well as the operations and parameters to be processed within the evaluation is defined. To control our workflow a combination of Python and Apache Ant is used and leads to the possibility to use various tools in a flexible and purpose-dependent way. To be testament to the usefulness we create a test set of only 900 test cases and use them to detect artefacts as result of video encoding processes of widely distributed video encoding software. The results be compared with the inputs and the difference of the quality is measured. Additionally, a visual inspection of result is performed to find noticeable as well as new artefacts.
Objects Classification based on Hand Grasping in Virtual Reality Environment

Recent advancements in Artificial Intelligence and machine learning methods have been the focus of much research in different application domains due to their possibility to enable intelligent tasks. Integrating intelligence for human-machine interaction is an interesting topic that may improve the quality of life when used for robotics, prosthetics, and rehabilitation domains, to name a few. This work presents the analysis of the touch interaction between hands and objects at the moment of grasp. A virtual reality environment has been employed to collect the dataset in order to apply machine learning methods. Three different algorithms have been adopted to recognize the touched object achieving a classification accuracy of 94.7% for the KNN and SVM, and 98.2% for the LSTM network.
On Path Planning and Optimization Strategies: Toward Embedded Road Applications

In recent years, the role of robots in science, technology, and research, has become very important. Mobile robots are used in many fields on land, in the air, and underwater, and are integrated into numerous applications such as maintenance, security, detection, exploration of anomalies, decision making, and carrying out operations. These robots have thus taken their place in the terrain where there is an electric field and where they are involved in the maintenance of power lines, even at high voltage. This article deals with one of the principles used to improve the performance of this type of robot, namely path planning. This point is very important to save time and consequently avoid economic losses. Nowadays, many difficulties and challenges have to be overcome in order to navigate autonomously, efficiently, and reliably. This article reviews path planning methods for mobile robots, examines their modeling, algorithms, and optimization criteria, and proposes to open the horizon for embedded road applications (ERA).
Generalisasi Bilangan Kromatik Pada Beberapa Kelas Graf Korona

For example is a chromatic number with the smallest integer so that the graph has a true vertex coloring with k color. Chromatic number is still an interesting study which is still being studied for its development through graph coloring. Graph coloring is a special case of graph labeling. Labeling here means, giving color to the points at a certain limit so that no two vertices have the same color. This study aims to calculate the chromatic number in several classes of graphs including , , Based on the results of the study, generalization of the chromatic number of the graph class . Class and for class for even n and 4 for odd n. Keywords: graph, graph coloring, chromatic number For example is a chromatic number with the smallest integer so that the graph has a true vertex coloring with k color. Chromatic number is still an interesting study which is still being studied for its development through graph coloring. Graph coloring is a special case of graph labeling. Labeling here means, giving color to the points at a certain limit so that no two vertices have the same color. This study aims to calculate the chromatic number in several classes of graphs including , , Based on the results of the study, generalization of the chromatic number of the graph class . Class and for class for even n and 4 for odd n. Keywords: graph, graph coloring, chromatic number
An Empirical Study on the Influence of Social Support on Subjective Well-being of Chinese Graduate Students

Targeted at postgraduates, this study empirically elucidates the structural relationship among perceived social support, self-concept clarity, learning engagement, and subjective well-being. A structural equation model was constructed by randomly sampling the survey data of 311 full-time postgraduates from colleges and universities across China, so as to clarify how to improve their subjective well-being in the construction of a high-quality education personnel training model. And statistical tools like SPSS 23 and Amos 23 were used to carry out analysis. The main findings are as follows. First, perceived social support can directly and significantly predict subjective well-being in a positive way. Second, it can also indirectly predict subjective well-being through the independent mediating effects of self-concept clarity and learning engagement. Third, self-concept clarity and learning engagement play a chain mediating role in the relationship between perceived social support and subjective well-being. The independent indirect effect of learning engagement is the largest among the three specific indirect effects. According to the study, subjective well-being of postgraduates is fundamentally influenced by their families, friends or relatives, but can also be improved by their internal cognition and input in the field of life and study.
Küresel Optimizasyon Problemlerinde Balçık Kalıp Algoritması ve Hibrit Balçık Kalıp Algoritmalarının Performansının İncelenmesi

The Slime mould algorithm (SMA) is a relatively new metaheuristic technique that was just presented. While the performance of the newly proposed algorithms gives satisfactory results in optimization problems, combining a recently proposed algorithm with the components of different algorithms improves the performance of SMAs. In recent years, leader SMA (LSMA) and equilibrium optimizer SMA (ESMA) methods, in which SMA is combined with different algorithms, have been proposed. The advantages of the two proposed methods over SMA in different problems are shown. In this study, in order to eliminate the disadvantages of SMA, such as slow convergence rate and local optimum, the performances of the CEC2020 test functions were investigated together with the LSMA and ESMA methods proposed in recent years. The results obtained are statistically analyzed and given in detail in the study.