Reviewerly/exHarmony huggingface dataset:
Graph Data Augmentation based on Adaptive Graph Convolution for Skeleton-based Action Recognition

Recently, action recognition based on graph data has received widespread attention. Graph convolutional neural networks need a large amount of graph data support. Therefore, graph data augmentation has significant research value. Existing graph data augmentation methods are generally based on graph structure or graph node features to add or remove graph edges, leading to problems in generality and effectiveness. To improve the above issues, this paper utilizes adaptive graph convolution to design an algorithm that obtains the optimal graph connection for graph data augmentation as graph convolution proceeds, which greatly improves the generalization and effectiveness. The results on NTU-RGBD and Kinetics-Skeleton datasets for skeleton-based action recognition prove that our proposed method reveals better results than existing methods.
Design and Build WEB-Based Applications as E-Commerce Media for Sales of Custom Products at CLOVE STORE Stores

E-commerce provides information about the items offered by business actors in the form of catalogs, which are given to make it easier for the general public or potential purchasers to select the required product. Making this e-commerce application is for owners who have full control over the e-commerce website or administrators who can enter data on products or services offered, while visitors to e-commerce websites can place orders for those products or services. The results of testing a website-based e-commerce application on the Clove Store store from the trials that have been carried out show that the success rate is 90%, In terms of the benefits of building an e-commerce website, there are many advantages, including for buyers, they don't need to come directly to the store, just by looking at the catalogs available on the website, buyers can directly order available products and for sellers in terms of promotion it will be easier and no need to spend more costs to market their products.
PENERAPAN SISTEM INFORMASI PERJALANAN DINAS PADA KANTOR KOMUNIKASI DAN INFORMATIKA KABUPATEN BANGGAI BERBASIS WEB

The public's need for information has developed very rapidly, thus encouraging the creation of innovations to support very sophisticated and rapidly growing technology in society. The research method used by the author in this study is using the Field Method (Observation) by observing by observing and studying the existing problems. The interview method (Interview) is to do questions and answer with the employees and the head of the service, and the library method is to collect data related to official travel information. It is hoped that the presence of this information system can help employees at the Banggai Regency Communication and Information Office in processing official travel data so that the resulting information can be processed more quickly, accurately, and accurately
Application of Computer Multimedia Technology in Track and Field Teaching and Training

Abstract The 21st century is an era of information explosion, and the multimedia technology is also growing vigorously. It not only changes the conditions of many industries, but also brings a completely new innovation to the education industry. The advent of Computer multimedia technology has brought about a qualitative change in educational concepts and ideas. It has brought opportunities and challenges to educators, as well as efficiency and science to students. Students no longer accept the knowledge singly and passively, and do not need to be restricted by the age of teachers and teaching methods. With the assistance of Computer multimedia technology, college track and field teaching and training will have a new look, allowing students to devote themselves to learning more willingly, and the vast and abundant technical resources also allow students to get more high-quality and advanced teaching materials. Because Computer multimedia technology has an obvious influence on track and field teaching and training, this paper will discuss the track and field teaching and training. First, it will discuss the necessity of integrating Computer multimedia technology into track and field training, and then talk about the great significance of Computer multimedia technology in the track and field teaching and training. Finally, it puts forward some constructive suggestions for the better integration of Computer multimedia technology with track and field teaching and training and to maximize the effect. I hope that we can contribute to the physical education cause in the motherland.
Spatial Augmented Reality as a Visualization Support for Engineering Analysis

Projector-based Spatial Augmented Reality (P-SAR) is a technology that allows to alter the external appearance of a physical object by means of an almost infinite variety of computer-generated contents. Thanks to the adoption of colored lights, a projected image acquires coherent spatial properties with respect to the data it represents; this has been demonstrated to facilitate the users’ interpretation of complex information. The current paper presents the development of a P-SAR system aiming at supporting the real-time visualization and the inspection of engineering simulation results. Particular attention is paid on detailing the algorithms necessary for the generation of the color maps to be displayed on the prototype’s surface. These are interpolated starting from a discrete array of output data coming from a generic simulation to resemble the configuration of sensors commonly adopted in real experimental setups. An illustrative case study applied to CFD analysis is finally discussed to show the applicability of such immersive environments in engineering fields that require to perform testing activities with equipment like wind tunnels.
A Two-Level Approach Based on Model Checking to Support Architecture Conformance Checking

We propose a Model Checking based method to aid Architecture Conformance Checking, which is a fundamental analysis to ensure software quality, dependability and maintainability. In this work, a new logic, which combines temporal logic, hybrid logic and a new logical operator in order to formalize software specifications, is proposed. The method described in this paper uses two structures, namely call graphs and software version graphs. The first one is used to check specifications related to classes and methods and we apply it intending to analyze a specific software version. The latter one gives us an overview of the software development process and we employ it to check global software requirements. These two graphs allow us to design a two-level checking method. The first level deals with specifications of a single software version that must be inspected in the call graph. The second level handles the global requirements throughout all software versions. Using our new operator and a function, we are able to use the same logic in both levels, allowing them to communicate with each other and handle the verification process in a neat and uniform manner. Our two-level approach is the great differential of this work, since the current approaches available in the literature focus on an unique software version at a time. We also present the general idea of an algorithm, which has polynomial time complexity, to perform Model Checking for our proposed temporal logic.
Programming of an Approximating K-Ary GCD Algorithm

Abstract In our paper, we consider the procedure for effective programming of an approximating k-ary GCD algorithm of natural numbers in the C++ programming language in the Visual Studio programming environment with the installed MPIR library of long numbers. There are also some theoretical calculations that justify the application of certain solutions. The task of GCD computation has an important efficient in different applications of Number Theory and Cybersecurity.
Magneto-Optical Imaging Feature Extraction of Angle Welding Defects Based on Polarization Information

In order to improve the effective data quantity of corner weld defect magneto-optical imaging feature extraction, a method based on polarization information is proposed. The magneto-optical imaging principle of corner welding defects is analyzed, and the magneto-optical image of defects is collected. Based on this, the MOO image is preprocessed by smoothing filter, image enhancement, background removal and specular highlights respectively, and the result of feature extraction is obtained. Compared with the traditional feature extraction method, the effective data volume of the design feature extraction method is improved by 19.535MB.
Evaluation of a Stakeholder Satisfaction-oriented Method for Prioritising Change Requests

The prioritisation of change requests for an evolving software is an important and complex activity in the continuous requirements engineering and release planning of an evolving product. We have explored such prioritisation with an organisation consisting of several business units appearing as stakeholders that compete for the same development resources. The challenge lay in taking objective factors like the cost-benefit ratio and technical dependencies of the requests into account while creating a high level of stakeholder satisfaction with the defined release scope. Together with the organisation, we have designed and implemented a tailored method that uses the stakeholders’ satisfaction as a structured means for validating the criteria-based prioritisation results. The paper extends prior work by taking the perspective of the organisational stakeholders and describing the method design from the organisation’s perspective, reports the use of the method in the organisation, and summarises the lessons learned from using the method in the organisation. The results are useful to increase the maturity of prioritisation in industrialpractice.
UTtoKB: a Model for Semantic Relation Extraction from Unstructured Text

In this paper, a model prototype called UTtoKB has been built. It extracts semantic relationships from an unstructured text based on ontology. The model is a pipeline steps based on natural language processing (NLP) tasks and tools like Coreference Resolution (CR), Named Entity Recognition (NER), Semantic Role Labeling (SRL), and Part of Speech (PoS) Tagging. WordNet is the tool used to measure similarities between entities to convert them into ontology concepts and properties. The model works fine in specific domains, while performance degrades in other domains due to the instability of WordNet performance in finding semantic similarities.
Eye movement with zoom Feature for HCI

Video analysis, has various practices to keep an eye on, examine, then fetch expressive piece of information out of the input in the form of video. In addition to this, human face identification is a vital area in scene monitoring and human computer interaction, ambient consisted active and so many rest of computer vision research. The present datasets is inadequate for various processes like task monitoring. In view of this, we build a system for human identification that uses a camera in a uppermost configuration. The experimental setup necessary for the elimination of blockings and it also has the benefit of being security conserving, for the reason of that faces are not noted by the camera. The paper refers to the knowledge for the accumulation and buildings of the input data’s. For more Clear identification of human face and facial feature zoom function is added in the algorithm and results are captured. In this paper we will consider zoom feature techniques of face recognition and also Human Computer Interaction.
Improved Sine Cosine Optimization Algorithm Based on Hybrid Mutation Strategy

The algorithm of sine and cosine has some problems such as premature convergence, low accuracy and slow speed for solving high-dimensional functions. This paper proposes an improved sine and cosine algorithm based on hybrid mutation strategy. Firstly, the initial population was generated by the chaotic initialization strategy to improve the diversity of the initial population. Secondly, the hybrid mutation is used to perturb the population, which improves the convergence precision of the algorithm and enhances the ability to jump out of the local optimum. Finally, the boundary control strategy is designed to regenerate the population beyond the boundary. Ten standard test functions are analyzed by numerical simulation and compared with other algorithms to verify the effectiveness of the proposed algorithm. The improved sine and cosine algorithm proposed in this paper is applied to pressure vessel design problems to verify the effectiveness of the improved algorithm in solving practical problems.
2015 개정 교육과정에 따른 고등학교 중국어I 교과서별 어법항목 비교분석 연구

The purpose of this study is to compare and analyze Chinese textbooks, especially grammar items in the textbook. In Korean high school, many students choose Chinese as their second language. For their study of Chinese, choosing suitable textbook is important. Because unit sequences and grammar items in textbook have a great influence on teaching method. Since 2018, it has begun to use a new national curriculum in Korean high school, which is called revised national At the same time, new high school Chinese textbooks are begun to use in school. But, there is no analysis of these new textbooks yet. So analysis of these textbooks is urgent and necessary. In the first section, this article analyse 2015 revised national curriculum, and compare the new curriculum with the previous curriculum. In the second section, analyse and compare eleven new textbooks. In third section, analyse and compare unit sequence and teaching contents of every eleven new textbooks. The purpose of this section is sum up the characteristics of each textbook. In fourth section, summarize the number and sequence of the appearance of grammar items in each textbook. Furthermore, on the base of the new curriculum, systematically analysed the selection criteria of grammar points in each textbook.
An Efficient Augmented Reality for Medical Application based on Peicp-Odcnn Spatial Mapping

Nowadays, augmented reality (AR) is getting popular as AR can provide visual guidance to users in real environment. It is interactive in nature so many medical fields started to prefer it for provoking better performance in diagnosing as well as detecting disease.But it is not that easy to perform due to the challenges it faces for mapping the virtual and real environment.The proposed framework has developed an efficient AR in a medical application for better performance in detecting and diagnosing a disease. The work mainly concentrates to map the virtual 3D medical image on the real object in varied positions without any preregistration or markers. Initially, 2D to 3D conversion is carried out which gives highly qualified image data without any loss. The conversion is then followed with segmentation which segments the 3d medical image region by referring to the environmental data and avoids the horizontal or vertical artifacts using IMR-CNN. To get the rid of relevant features as well as accurate corner point detection and local point detections of the image the work has developed an RJ-FAST BRISK. Finally, based on the features, the spatial mapping is performed by using PEICP-ODCNN, which reduces the error rate caused by varied poses and also reduces the computation time. Experimental results show that the work obtains a mapping accuracy of 92.24% as compared to the existing state-of-the-art method.
PERSONAL HEALTH TRACKER

In this Review, we speak the fundamental idea of handy and compact healthcare tool for recording of body fitness. First, we describe rising multifunctional materials important to the arrival of next-technology implantable and wearable photonic healthcare devices and speak the route for his or her scientific translation.
Unstructured Noise Removal for Industrial Sensor Imaging Unit by Hybrid Adaptive Median Algorithm

Thermal noise is the most common type of contamination in digital image acquisition operations, and is caused by the temperature condition of the industrial sensor devices used in the process. When it comes to picture improvement, removing noise from the image is one of the most crucial steps. However, in image processing, it is more critical to retain the characteristics of the original picture while eliminating the noise. Thermal noise removal is a challenging problem in image denoising. This article provides a strategy based on a Hybrid Adaptive Median (HAM) filtering approach for removing thermal noise from the image output of an industrial sensor. The demonstration of this proposed approach's ability, is to successfully detect and reduce thermal noise. In addition, this study examines an adaptive hybrid adaptive median filtering approach that has significant computational advantages, making it highly practical. Finally, this research report on experiments shows the high-quality industrial sensor imaging systems that have been successfully implemented in the real world.
Freedom and Spontaneity in the Creative Process: Lessons from Experimental Music

Abstract This chapter focuses on composers who explored freedom and spontaneity in the creative process as alternatives to compositional systems with various formal rules and constraints. John Cage used chance operations and indeterminacy to compose music that allowed listeners unlimited interpretative freedom. Pauline Oliveros designed human/machine interfaces that created feedback resembling human intuitive and spontaneous interactivity. David Tudor created “live” electronic music in its most literal sense with idiosyncratic sound systems that produced sounds that took on a “life of their own.” Frederic Rzewski viewed spontaneous music as a transcendent and transformative creative process available to both musicians and non-musicians. Roscoe Mitchell developed composition/improvisation hybrids that challenge traditionally held assumptions about musical works in the Western canon. Embracing freedom and spontaneity as aesthetic values made it possible for these composers to challenge the dominant political ideology and its social conventions.
Selecting and Acquiring IoT Devices Oriented to Older People: A Systematic Literature Review

The devices are crucial elements in the Internet of Things (IoT) applications. The correct selection of these elements influences the quality, cost, and adequate addressing of the application depending on the needs in each of the IoT verticals. In this sense, the need for methodologies for selecting IoT devices is an exciting field to explore in research. Therefore, this paper presents a Systematic Literature Review (SLR) based on the Kitchenham and Charters methodology, as the first step for designing a methodology for the selection and acquisition of IoT devices oriented to older people. The presented SLR describes the existing methods, technical criteria, context criteria (e.g., contracts, government restrictions), and other elements considered for selecting IoT devices from 2010 to 2021 year; this from the review in digital libraries, conferences, and journals. Sixteen articles were found following the methodology of systematics review. The obtained results are made up of studies for the selection of IoT devices, or criteria for the selection of technology related to IoT, such as IoT services, IoT platforms, sensors for IoT devices, among others. Most of the found studies are not directed to a specific domain, except for a few directed to people in general or companies. Overall, the study evidences a gap in the selection methodologies for IoT devices in applications-oriented to the elderly and the presence of some context-related selection methods.
Algorithms for Informative Features Extraction in the Problem of Data Mining on Item Related State Evaluation

The algorithms for informative features extraction in the task of data mining on item related state evaluation have been considered in the report by way of example of evaluating and forecasting the technical status (early diagnosis task) of unmanned aerial vehicle electric motor where the reporting set of controlled variable values is applicable to a certain class or hazard level.
PROSPECTS OF MENTORING AS A FORM OF IMPROVING THE QUALITY OF HUMAN CAPITAL IN THE TIMBER INDUSTRY

The article deals with the problems associated with personnel problems in the timber industry complex. Efficient companies in the timber industry complex consider mentoring as a form of improving the quality of human capital. This tendency is especially evident in those regions where timber companies play a dominant role. The aim of mentoring is to train a specialist who meets the requirements for his/her quality and competence on the part of enterprises, organizations of the region and the Russian Federation. It is impossible to train a modern specialist in isolation from real production conditions – professional practice. That is why the authors defined the mission of mentors in a modern organization, identified the stages of training under the guidance of a mentor in the enterprises of timber industry complex. The authors proposed options for staff development. Learning of the system, directions of mentoring, assistance, assistance in getting the job tempo and rhythm, mastering of job tasks and duties, acquiring of practical knowledge and skills, social-psychological adaptation in a team, adaptation to corporate culture, learning of traditions and rules of conduct in the enterprise – all these are the main aims of mentoring organization as a source of quality human capital improvement in timber industry enterprises. Thus, a mentor not only explains production technology and introduces equipment, but also helps a newcomer to join the team, get acquainted with masters and managers and the company’s culture.
A Mobile Robot Path Planning Method Based on Safe Pathfinding Guidance

The problem of path planning in the field of robot navigation is now a major research hot spot. On the premise of ensuring that the robot can successfully navigate to the target point, the safety of the path also needs to be considered. In order to find a safer path, a safe pathfinding path planning method is proposed, which introduces two safety parameters that affect the path selection: hazard coefficient and movement coefficient. After defining two security parameters, design an appropriate reward function and use A2C algorithm and PPO algorithm to guide the robot to conduct reinforcement learning. The experiment will be conducted on a two-dimensional grid map containing various obstacles. By conducting comparative experiments, it is verified that the safety pathfinding method proposed in this paper is feasible and reasonable, and can enable the robot to choose a safer road instead of a faster road when planning the path.
Adaptive image watermarking algorithm based on visual characteristics

In order to make the digital watermark more robust and invisible, an image watermark embedding method based on the visual characteristics of human eyes and wavelet transform is proposed. Firstly, the binary watermark is dislocated by chaotic mapping, and then the watermark is embedded into the wavelet transform coefficients by quantization method, and the quantization step is dynamically adjusted according to the local correlation characteristics of the image and the visual characteristics of human eyes. Simulation experiments show that the algorithm not only has good transparency and security, but also has good robustness against attacks.
Scheduling Optimization in Cloud Computing: Review and Issues

“Cloud” is a common word for a great many innovations and opportunities. This is not an invention, but something of a “practical breakthrough,” incorporating a number of earlier innovations into something new. A thorough overview of diverse cloud computing scheduling algorithms is presented. Through observing and testing various scheduling algorithms, we can use the best match in cloud computing according to the specifications and criteria.