Reviewerly/exHarmony huggingface dataset:
Mod2Dash: A Framework for Model-Driven Dashboards Generation

The construction of an interactive dashboard involves deciding on what information to present and how to display it and implementing those design decisions to create an operational dashboard. Traditionally, a dashboard's design is implied in the deployed dashboard rather than captured explicitly as a digital artifact, preventing it from being backed up, version-controlled, and shared. Moreover, practitioners have to implement this implicit design manually by coding or configuring it on a dashboard platform. This paper proposes Mod2Dash, a software framework that enables practitioners to capture their dashboard designs as models and generate operational dashboards automatically from these models. The framework also provides a GUI-driven customization approach for practitioners to fine-tune the auto-generated dashboards and update their models. With these abilities, Mod2Dash enables practitioners to rapidly prototype and deploy dashboards for both operational and research purposes. We evaluated the framework's effectiveness in a case study on cyber security visualization for decision support. A proof-of-concept of Mod2Dash was employed to model and reconstruct 31 diverse real-world cyber security dashboards. A human-assisted comparison between the Mod2Dash-generated dashboards and the baseline dashboards shows a close matching, indicating the framework's effectiveness for real-world scenarios.
Perancangan Prototype Sistem Informasi Akuntansi (SIA) pada PT XYZ

PT XYZ is a company that has many business fields such as retail up to financing. PT XYZ at this time, running its business PT XYZ also utilizes information technology in the form of a general computer-based information system, the result of this current system having weaknesses in terms of data security to the high potential for human error. This happened because system users must reprocess all the data using a separate system and open other files before finally being able to process a financial report. Due to this problem, the author finally conducted a study entitled the design of a prototype accounting information system (AIS) at PT XYZ. The accounting information system (AIS) which is the final result of this research will be explained using use case diagrams and class diagrams modeling. The final result of this research will be in the form of prototypes of an accounting information system (AIS) which describes the user's flexibility in managing data categories, users, income transactions, expenditure transactions, debts, receivables, reports related to financial transactions at PT. XYZ and view of the transaction recaps.
Discussion on tuning method of quantization factor of fuzzy PID controller

Abstract Quantization factor is one of the main external parameters of a fuzzy PID controller, which has an obvious impact on the performance of the controller. The traditional setting methods do not reveal its inherent laws. In this paper, we take a specific fuzzy PID control system as the research object. Secondly, we study the influence of quantization factor on the performance of the controller in detail. We propose a new method of calculating quantization factor with probability coverage. Experiments are conducted to prove its rationality and effectiveness
Supply Chain Management in Agriculture using Blockchain

Block chains are now firmly established as a digital technology that combines cryptographic, data management, networking, and incentive mechanisms to support the verification, execution, and recording of transactions between parties. While block chain technologies were originally intended to support new forms of digital currency for easier and secure payments, they now hold great promise as a new foundation for all forms of transactions. Agribusiness stands to become a key beneficiary of this technology as a platform to execute ‘smart contracts’ for transactions, particularly for high-value produce. First it is important to distinguish between private digital currencies and the distributed ledger and block chain technologies that underlie them. The distributed and cross-border nature of digital currencies like Bitcoin means that regulation of the core protocols of these systems by central banks is unlikely to be effective. Monetary authorities are focused more on understanding ‘on-ramps’ and ‘off-ramps’ that constitute the links to the traditional payments system rather than being able to monitor and regulate the currency itself. In contrast to the digital currency feature of block chain, the distributed ledger feature has the potential for widespread use in agribusiness and trade financing, especially where workflows involve many different parties with no trusted central entity
Cloud-Based Patient Health Record Tracking Web Development

In the financial year 2021 there were 4.3 billion outpatient consultations in the sector of doctor consultation and pharma prescription respectively. Outpatient consultations for diagnostic (OPD) test prescription stud at 1.5 billion in the same financial year. In the 1960s, Larry Weed, an American physician, researcher, educator, and entrepreneur, developed the Problem Oriented Medical Record. With this, Weed introduced the idea of electronically recording and maintaining patient data. Weed may be identified as the person who invented electronic health records themselves. This information provided on elationhealth.com by Anthony Pappas on 28th January, 2020. This paper gives an idea about current healthcare system in India. Having preview about previous projects on current primary health care system. Some information describes about global work done on Electronic Medical Records generates with cloud-based system. This database is effectual to mankind to store, share, and manage the data.
Intelligent Video Tag Recommendation System Improving Video Popularity

A successful marketing activity requires attracting high social popularity to their contents, since higher popularity usually indicates stronger influence, more fame and higher revenue. In this, we focus on the question of how to improve popularity of videos sharing on websites like YouTube in mobile computing environment. Obviously, composing high quality titles and tags is beneficial for viewers to discover videos of their interests and increase their tendency to watch more videos. However, it is not an easy task for uploaders,which is especially true since the screen is tight for most mobile devices. To this end, this proposes a novel hybrid method based on multi-modal content analysis that recommends keywords for video uploaders to compose titles and tags of their videos and then to gain higher popularity. The method generates candidate keywords by integrating techniques of textual semantic analysis of original tags and recognition of video content. On one hand, taking the original keywords of a video as input, the method obtains most relevant words from WordNet and related video titles gathered from the three top video sharing sites (YouTube, Yahoo Video, Bing Video). On the other hand, through recognizing video content with deep learning technology,the method extracts the entity name of video content as candidate keywords. Finally, a TFSIM algorithm is proposed to rank the candidate keywords and the most relevant keywords are recommended to uploaders for optimizing the titles and tags of their videos
Effects of service robots in the hospitality and tourism sectors : A critical review and future research directions

Service robots provide hospitality and tourism organizations significant technological abilities to reduce costs and increase operational efficiency by replacing human labor. This study aims to comprehensively review the recent empirical literature on the effects or outcomes of service robots in leading hospitality and tourism journals, ascertain the critical research gaps and limitations, and propose new research directions. The literature review of the positive effects of service robots showed that they can enhance customer satisfaction and loyalty, engagement, experiences, and perceived stability of service, mainly in hotels. By contrast, the literature review of the negative effects of service robots indicated that consumers are concerned about the dehumanization of services, financial risks, and lower service efficiency, mainly in the case of restaurants and food service providers. As there are critical limitations in the existing literature, this study showed that all the related studies focus only on customers and the market aspect of businesses. Moreover, studies relied heavily on external sources of customer data and had limited sectoral scope since they mainly focused on hotels and restaurants. To fill in the research gaps, this study highlighted the need for future research on the employee and organizational aspects of businesses. It urges researchers to investigate the employee outcomes and collaborations with service robots and to address the critical issues of financial investment results, technology management, and the role of service robots during the COVID-19 pandemic.
Architecture and acoustics in an era of experimentation

Architecture and acoustics are inextricably intertwined using the same tools (volume, shape, surface) to create places for the exchange of ideas transmitted through sound, movement, and words. While true for well-established building types such as concert halls, theaters, and opera houses, this intertwining is key for new, emerging building types that respond to changing client demands across higher education, cultural institutions, and the public sector. Several case studies (The Pop-Up, The Cauldron, The Mash-Up, The Inversion, and The Immersion) will explore: (1) How learning institutions are repositioning the arts with new types of facilities that encourage innovation, creativity, and transdisciplinary collaboration, within the Arts and across all disciplines; (2) How learning institutions are experimenting with spaces for incubation, rehearsal, and performance, blurring the line between front of house and back of house; (3) How learning institutions are reconceiving convening/performing with audience members as active participants; (4) How performance venues can be welcoming for all members of the community and deepen engagement with the world around them (whether urban or sylvan) while maintaining acoustic excellence; (5) How large and often underutilized lobby spaces can be reimagined as pop-up venues for impromptu sonic events; (6) How acoustics can enable programmatic mash-ups such as a public radio broadcast studio and café at a library front door, opening new possibilities for building inclusive communities.
BELLA - A Desktop Assistant for Developers

This project includes the implementation of an intelligent voice recognition assistant for developers. In this project, we aim to use a voice assistant while explain the various difficulties and challenges that exist in this work. The main purpose of the software is to perform engineering tasks with specific instructions, provided in methods, speech or text. It will simplify most developer work as complete work can be done in one command.
Three-dimensional displacements measurement with two-point source interference

An innovative double corner cube interferometer is proposed to detect the 3-dimensional linear movements as well as straightness of a linear stage. Based on the two-point source interference, two-point light sources superpose and generate an interference pattern on a specific observation plane. The interference pattern will alter accordingly when the relative position of the two light sources in space changes. This measurement system projects an expanded collimated light beam to two corner cube retroreflectors (CCR), one is fixed on the reference frame and the other is attached on the stage for measurement. The two reflected lights from the two CCRs are collected by a focal lens and produce an interference pattern on the focal plane. Then the period and direction of the interference pattern can be extract with Fast Fourier Transform (FFT) for off-axis (X-Y plane) motion measurement, and the four-step phase-shifting method is used for on-axis (Z-axis) motion measurement. The proposed measurement system can measure the three-axis displacement of the two reflectors in real-time. Different from traditional interferometry for 3D measurement which requires multiple sets of interferometers, the proposed system has the advantage to use one simple configuration and a measuring algorithm to achieve three degree-of-freedom measurements. The experiment demonstrates that the resolution for off-axis measurement is about 50 um, and on-axis measurement can reach 2 nm.
Rules of Inference

As the rules of inference are the essential building blocks in yielding valid arguments, the rules of inference as well as a set of invalid arguments, known as fallacies, are briefly discussed. The chapter starts with a brief discussion of valid and sound arguments. The rules of inference in propositional logic, such as laws of attachment and contrapositive and also rules of transitivity and elimination, are first introduced, and then rules of inference for predicate logic, including universal instantiation and generalization as well as existential instantiation and generalization, are discussed. Finally, flawed, yet common, argument forms are known as fallacies, including fallacies with irrelevant premises and fallacies with unacceptable premises, along with some well-known, widely used fallacies, are introduced.
Value Education :: The Need of the Hour

Value crisis has emerged in almost all field. The crisis is not so much intellectual but rather moral and spiritual. Value crisis is such a phenomenon which we all are experiencing in our day to day life. Today’s society is in deep value crisis, values are degrading in the form of corruption, cheating, injustice, violence, murder etc. At present traditional ancient values have also disappeared. Ancient values are not practiced rather ignored. Modern values are much more important than the ancient values. Men have accepted the materialistic mode of life can we call us civilized if we ignore the values ? So, the Today’s Society needs value education. This paper highlights the need of value education in present day. This paper also considers the role of teachers in imbibing the values among the students.
Traffic Sign Detection and Recognition

Street traffic signs give directions, cautioning data, to control driver conduct. Also, these signs give a dependable assurance to protected and helpful driving. The Traffic Sign Detection and Recognition (TSDR) framework is one of the essential applications for Advanced Driver Assistance Systems (ADAS). TSDR has gotten a lot of consideration over the new year’s. Be that as it may, it is as yet a difficult field of picture handling. In this work, the area of visual article discovery, following and acknowledgment in the rush hour gridlock climate is investigated. The essential spotlight is placed on the issue of video-based traffic sign acknowledgment (TSR), which is one of the significant assignments in the contemporary visual driver help frameworks. Certain calculations thusly introduced are utilized for tackling related issues, for example, walker identification or grouping of vehicle models. At the recognition stage a few procedures are broke down and assessed utilizing restrained picture and video datasets. This framework additionally investigates the chance of custom preparation of YOLOv3 based calculation.
In-House Library Management

Libraries are the great source for providing knowledge and information. Due to changes in educational environment, it is necessary to have to digital environment for libraries. This in-house Library Management website provide us the information about the books available in the library so that we can easily take the book from the library. The system would provide basic set of features to add/update members, add/update books, and manage check in specifications for the systems based on the client's statement of need. When logged in, we can access the e-book of the library. It really helps in now-a-days digital world. We can see what are all the books that are borrowed from library and the due dates, these information helps the user and library to have a traffic free environment. In the Admin login we can able to access the student details and the books they borrowed. Admin can able to access all the books in the library and he can add or delete a particular book. It is easy for a librarian to maintain the stock in the library. We can easily have an information about what are the books that are most needed and which is frequently borrowed so that we can increase the count of the particular number of books.
A Systematic Review of Deep Learning Techniques for Semantic Image Segmentation: Methods, Future Directions, and Challenges

The advancements in the methods and techniques in the field of computer vision have enabled numerous applications based on understanding and analysis of image data. Moreover, deep learning has brought a massive shift in image analysis, thereby attracting the attention of researchers worldwide. Many real-life application areas used the image segmentation techniques for the identification of different regions in an image and classify them into clusters depending upon the similarity. Many conventional techniques, namely thresh-olding, k-means clustering histogram-based segmentation, and edge detection algorithms were applied for the segmentation; these pre-existing methods were found to be less efficient because of human intervention. But with the turn-up of deep learning, it is considered as a predominant method in image processing. 50In today’s era where computer vision is contemplating image segmentation for various applications, it is of utmost importance to have a detailed review of it. In the past decade, image segmentation has evolved a lot and is defined on two levels of granularity, namely semantic segmentation and instance segmentation. Furthermore, semantic segmentation segments unknown objects or new objects and classify pixels which are semantically together. This approach can lay down the foundations for new models to improve prior existing computer vision methods. It is entrenched as a vigorous implement for the critical analysis of the different areas in given images. Firstly, we elucidate the basic terms and some mandatory concepts related to this particular field for a better understanding of the naive. Then, the chapter focuses on different methods and network structures which are applied in semantic image segmentation for deep analysis of images in different applications in contrast to conventional approaches. Also, we outline the strengths and weaknesses of this approach to present a superior perspective to the individuals. At last, we strive to disclose challenges of semantic image segmentation processes concurrence with deep learning and point out a set of promising future works.
To Identify and Analyze Public Shaming in Online Social Networks

Public disgracing in web-based informal organizations and related web-based public gatherings like Twitter has been expanding lately. These occasions are known to have obliterating influence on the casualty's social, political and monetary life. Despite its known sick impacts, little has been done in famous web-based entertainment to cure this, frequently by the reason of huge volume and variety of such remarks and subsequently impossible number of human arbitrators expected to accomplish the undertaking. In this paper, we mechanize the undertaking of public disgracing location in Twitter according to the point of view of casualties furthermore, investigate essentially two angles, specifically, occasions and shamers. Disgracing tweets are ordered into six sorts oppressive, examination, condemning, strict/ethnic, mockery/joke and what about and each tweet is ordered into one of these sorts or as non-disgracing. It is seen that out of the multitude of taking part clients who post remarks in a specific disgracing occasion, greater part of them are probably going to disgrace the person in question. Strangely, it is additionally the shamers whose devotee counts increment quicker than that of the non-shamers in Twitter. At long last, in light of arrangement and characterization of disgracing tweets, a web application called Block Shame has been planned and conveyed for on-the-fly quieting/impeding of shamers going after a casualty on the Twitter utilizing some of Machine Learning Techniques, for example, Support Vector Machine and Arbitrary Forest.
Assessment of Digital Competencies University Students: Case of the Ural Federal University Named After the First President of Russia B.N. Yeltsin

In the digital age, digital competence is becoming a factor of professionalism, and its formation is an urgent task of the education system at all levels. The purpose of the article is to present and discuss the results of a study conducted at one of the federal universities of Russia among students - future professionals, regarding the relevance and level of development of digital competence. Using the author's tools, it was revealed that, despite the critical importance of digital competence for future professional activity, the real level of digital competence proficiency is a quarter lower than desired; despite sufficient awareness of digital competencies, the level of their proficiency remains user, not professional; digital competence is a byproduct of online learning formats. All these patterns indicate the absence of a special, systemically organized process of digital competence formation embedded in the educational environment of the university, which makes it necessary to develop and implement a new strategy for achieving digital competence of graduates in order to solve the complex task of integrating professional competence, on the one hand, and digital competence, on the other.
The Development of Ecopoetic Writing Activity Program with an Ecocritical Approach

The main background in this research is the difficulty of expressing ideas in critical thinking, the difficulty of choosing the right diction, and the increasing destruction to natural populations. The development of this ecopoetic writing activity program was expected to foster students' love for the natural surroundings, capability to think critically, and creatively. The basic framework of thinking used in writing ecopoetic is an ecocritical approach. The development of the activity program was carried out from the adaptation of Anderson's taxonomy of thinking, which starts with [1] remembering skills, [2] understanding skills, [3] applying skills, [4] analyzing skills, [5] evaluating skills, and [6] creating skills. The research method used was the R2D2 development model (Recursive, Reflective, Design, and Development). The poetry writing activity program was developed based on competencies, sub-competencies, and indicators. These activities were carried out on an ongoing basis. The results of the research validation were obtained from product testing activities. The validation activities were carried out by multimedia experts, practitioner experts, evaluation experts, technical experts, and course supervisors. The results of the validation indicate that the guidelines for writing poetry are appropriate for students' activity in writing eco-poetry, with several revisions being the basis for program improvement. Then, students whose scores are below the standard due to their difficulty in writing the right diction in critical thinking can take advantage of the ecocritical approach program that has been developed.
The Effects of Logistics Technology Acceptance in the Fourth Industrial Revolution on Logistics Safety Performance: The Moderated Mediating Effect of Logistics Safety Behavior through Safety Culture

The Effects of Logistics Technology Acceptance in the Fourth Industrial Revolution on Logistics Safety Performance: The Moderated Mediating Effect of Logistics Safety Behavior through Safety Culture* 의 이용 수, 등재여부, 발행기관, 저자, 초록, 목차, 참고문헌 등 논문에 관한 다양한 정보 및 관련논문 목록과 논문의 분야별 BEST, NEW 논문 목록을 확인 하실 수 있습니다.