Reviewerly/exHarmony huggingface dataset:
Identification and Recognition of Handwritten Text from an Image

The industrial project is about extraction of content from pictures, which is acknowledgment of characters in electronic or mechanical transformation of pictures of composed, manually written or printed text into machine encoded text, regardless of whether from a checked archive, a photograph of a record, a scene- photograph (for instance the content on signs and announcements in a scene photograph) or from caption text superimposed on picture.Broadly utilized as type of information section from printed paper information – regardless of whether identification reports, solicitations, bank explanations, automated receipts, N business cards, mail, printouts of static-information, or an appropriate documentation m– it is a typical technique for digitizing printed messages with the goal that they can be e electronically altered, put away more minimalistic ally, showed online, and utilized in machine cycles, machine interpretation, (removed) text to- discourse, key information and text mining. OCR is a field of exploration in example acknowledgment, computerized reasoning and PC vision.The primary goal of this task is to create AI calculation to empower element and information extraction from records with manually written explanations, with an expect to distinguish transcribed words on a picture.
A Credible Service Level Agreement Enforcement Framework for 5G Edge

Multi-access edge computing (MEC) is a keystone for enabling wide range of vertical applications with diverse quality of service (QoS) requirements over 5G network. With the roll-out of 5G networks across the globe, the mobile network operators (MNOs) are looking forward to generating business-to-business (B2B) revenue by provisioning edge cloud on their networks and hosting the applications of the 3rd party application service providers (ASPs). However, in order to accelerate the adoption of MEC, it is essential to adopt open and standardized service platform as well as a flexible and trustworthy framework for service level agreement (SLA) enforcement. Edge service provisioning will involve strict QoS guarantees for offered edge services based on heterogeneous QoS requirements of different applications, thereby requiring robust, flexible and credible SLA verification and charging as a part of business support system (BSS) of the MNO. Conventional cloud SLAs are not suitable due to lack of the flexibility and credibility required for automatic enforcement in a dynamic and heterogeneous environment. To address this challenge, we propose a blockchain-based framework for credible SLA enforcement. The proposed framework leverages smart contracts to provide an immutable solution, and ensures credibility by introducing an auditing mechanism for verifying the SLA violations.
Evaluating VR practices to support collaborative cabin design process using a human factor approach

Effective collaboration is necessary to overcome complexities in the early stages of aircraft design and development, especially when multiple experts and disciplines are involved in the process. However, there are many barriers in achieving an effective collaborative and multidisciplinary team, such as limited resources and tools, technological limitations, the availability of real time feedback and expertise, and time constrains due to travel and cost. Technological advancements within virtual, augmented and mixed realities provide a unique capability of remote collaborative opportunities that can overcome some of the identified barriers. The National Research Council of Canada (NRC), in close collaboration with the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt - DLR)., proposes to build, use and evaluate a collaborative VR/AR environment that will simulate an aircraft cabin to develop new and disruptive human-centered designs in aircraft cabins. This paper outlines a proposed development of such platform by using human factors approaches to enable remote collaborative work in aircraft cabin design.
Data Collection and Cloud Computing for Local Manager System

Innovation is an important engine to lead the contemporary economic growth, and human capital, as the main source of innovation ability, plays an indispensable role in the region. In China, there are obvious differences in the distribution and reserve of human capital in different regions, so it has different degrees of impact on the innovation ability of each region. With the development of technology and the arrival of the era of artificial intelligence, more and more close ties have been established between machines and human beings. As intelligent machines with feedback functions such as human-computer dialogue, action and emotion are gradually socialized, the human-computer relationship has also developed and changed accordingly. The social role of the subordinate is both instrumental and developmental. The influence of intelligent machine on interactive objects (people) is not only reflected in the change of human-computer relationship, but also in the impact on human needs. The introduction of artificial intelligence leads to deeper interaction and greater uncertainty in the process of human-computer interaction.
Legal Issues of SaaS Model in Cloud Computing

This paper briefly introduces the changes of software business model and the general situation of SAS software business model under cloud computing, and discusses the compatibility of the new software use mode with the current copyright rights in China in terms of authorization mechanism, and the impact and coordination of the license mechanism on the rights of users of works, It also analyzes the nature, legal application and format terms of cloud user agreement involved in online software services, and puts forward suggestions for the above problems. From the perspective of the problems brought by the business model of SAS software to the current legal system, the author makes a simple study on the above problems by combining with the introduction of domestic and foreign academic research status, the evaluation of the current system, the relevant case study, and the text analysis of agreement terms.
Analysis of the libraries collections system of the Siberian Branch of the Russian Academy of Sciences

The article elucidates directions of scientific-research work development in the field of forming and using library collections in SPSTL SB RAS. Within the frames of the Library scientific projects some problems of research activities – value, ideological, communicative and others – aimed at active practical reform and widening the professional field of scientific libraries system’ resource base are presented. The review of researches, done by the authors, includes the analysis of regularities and tendencies of the departmental and territorial system of libraries collections forming and preserving as well as approaches, forms and methods of studying documentary resources in the retrospective and at present – in the context of growing indicators of digital resources usage. The article exposes, on the one hand, the objective preconditions for libraries’ interaction and, on the other hand – negative tendencies such as growth of collections breaking up and non-coordination of document resources forming policy, further deepening of departmental and regional differences. The problem of territorial libraries cooperation with the aim of growing the joint territorial library stock effectiveness is actual. Scientific-research work (SRW) in the large modern library is an independent complex kind of activities, promoting its development as an open social system and its vital preservation in the environment of other information structures. Departmental, regional, national research programs determine libraries scientific research themes. The results of libraries scientific-research work are regarded as equal with other scientific-research establishments’ contribution into the solution of the large-scaled scientific-industrial problems.
Capability level of teachers of district of Sta. Teresita for school-based disaster preparedness: Basis for proposed action plan

Disaster management is one important planning, responsibility and action to be considered not only by students but even teachers.In relation to the Philippine schools' vulnerability to disasters, the study intends to evaluate capability level of the teachers of Sta.Teresita District as regards their preparedness for school-based disaster.It is needed to be understood more by the teachers for them to execute it well and even on how teachers would address different calamities and hazard that may happen in school and community.Based on the foregoing findings, the following conclusions were drawn: Majority of the respondents have attended limited number of first aid trainings and simulation exercises relative to disaster preparedness.Teachers are highly capable of preparing for natural disasters but moderately capable for human induced disasters.This paper primarily suggests the conduct of similar study to include respondents from other locales.That way, a clearer view of the capability levels for preparedness for educators may be established.Furthermore, the nature of this study might even be replicated among other schools in the different cities and municipalities of the country.
Unlocking Learning: Promoting Cultural Brand Through Interactions with Ancient Locks in an SL Virtual Space

This study started with designing a virtual museum to exhibit the ancient Chinese locks that are in the collection of the National Cheng Kung University Museum in Taiwan (NCKUM). The exhibition is marketed with a cultural brand, Ancient Locks, in a virtual space in Second Life (SL). The purposes of this study are thus threefold: 1) to explore the museum visitors' perspectives and their information technology (IT) needs, 2) to determine their different visiting styles when interacting with the museum docents, exhibition objects (i.e., ancient Chinese locks), and other visitors, and 3) to establish a model for marketing the cultural brand through the exhibition of ancient Chinese locks in both the real and the virtual museums. All visitors were invited to respond to a questionnaire after visiting either the real or the virtual exhibition sites to collect their feedback and suggestions. In total, 766 valid responses were received from visitors from different educational levels. The average level of satisfaction with their visits was above the midpoint, but they gave a below-midpoint score for their visiting needs, specifically, IT demands. In addition, visitors from different education levels gave significantly different responses regarding the satisfaction level and IT demands for their visit to the real and SL exhibitions. At the end of this study, a four-construct model containing different services for future visitors to select from is established for marketing the cultural brand internationally, especially through SL.
AI Meaning and Applications in the Consumer Sector of Retailing, Hospitality, and Tourism

Artificial intelligence (AI) algorithms have been continuously adopted in businesses, such as retailing, hospitality, and tourism. The current chapter aims first to provide a conceptualization of evolution of AI. Second, it gives an overview of AI in business and finally points out examples of applications of AI in retailing, hospitality, and tourism. Third, the chapter offers suggestions for further research. This chapter is devoted to researchers and practitioners. The audience will benefit from an overview of AI meaning and potential research to be developed and also benefit from examples of other business that already employ such AI algorithms.
CodeScan: A Supervised Machine Learning Approach to Open Source Code Bot Detection

Enhancing software productivity would help companies to cut their costs and increase profits. Software metrics rely heavily on the personal experiences and skills of managers in pattern recognition and rewards. Differentiating between actual human effort and machine-generated code can help drive an organization's decision-making process that is rewarding its employees and provide an assistive tool to the managers allowing effective monitoring without micromanagement that has a wide application in managing work from home and other virtual environments. The paper explores the insight into the quality of machine-generated bot code compared to actual human coding efforts. It uses machine learning techniques to identify patterns and gives intelligent insights that can be used as a performance metric for versioning systems and business intelligence. We successfully distinguished between a bot and human-written code with an F1-score of 0.945 using the Light Gradient Boosting Method.
How to Evaluate a Good Conversation? An Evaluation Framework for Chat Experience in Smart Home

With the development of artificial intelligence technology, more and more smart devices equipped with smart conversational agents, which can engage in chat or free conversation with human. However, the human-machine chat is still in the early stage of development, and there is a lack of effective methods to evaluate chat experience. In this study we proposed a framework to evaluate chat experience with smart conversational agents in smart home. Firstly, we collected evaluation metrics, and then applied them in the first user test and optimized the metrics and constructed an evaluation system. Finally, we carried out the second user test to validate the evaluation system with SEM. The results indicated that the evaluation system had good reliability, validity and internal consistency, which can be used to evaluate the user experience of smart conversational agents’ chat-oriented dialogue.
Design Software Teaching Based on Big Data

With the increasingly high requirements of the design industry, Photoshop versions are constantly updated. Although they are powerful, they are also complicated and cumbersome to operate. Without a lot of time of practice, it is difficult to acquire skilled operating skills, and it is impossible to produce wonderful graphic design works. This paper studies the modern network teaching platform based on big data (BD), realizes the discovery of user needs of the teaching platform and the optimization and push of teaching resources, and realizes the full utilization of teaching resources. The teaching effect of “Photoshop Image Processing” for students majoring in art and design can be maximized. New technologies and new means can be effectively used to reform the teaching mode and innovate the teaching methods and means with the help of the power of the BD network teaching platform. The technology of cloud classroom can broadcast the live work of enterprises to the classroom and students’ handheld devices to strengthen the connection with the market.
Improved TLD gesture tracking algorithm based on SURF and Camshift

Aiming at the situation that the traditional Camshift algorithm fails to track gestures under complicated backgrounds or short-term occlusions, an improved Camshift algorithm combined with SURF algorithm is proposed to track gestures in real time. In this method, the SURF algorithm is used to initially locate the gesture target. An improved TLD gesture tracking algorithm based on SURF and Camshift is proposed to solve the problem of large calculation amount of TLD algorithm and poor real-time tracking. The experimental results verify that the algorithm has higher accuracy and real-time performance than the traditional Camshift algorithm and the traditional TLD algorithm.
구어에서 양태 어미 ‘-을까(요)’의 실현 양상 연구

The purpose of this study is to investigate the usage of modality final ending ‘-ulgga(yo)’ in spoken Korean language. The literature has mainly studied the semantic function and syntactic restriction of the final ending deductively, with few focusing on the realistic language usage. Hence, this study, based on an analysis of balanced corpus of spoken language, aims to investigate the actual usage in a inductive manner. The usage of ‘-ulgga(yo)’ is divided into morphosyntactic usage and sematic usage. For its morphosyntactic usage, the form of ‘-ulgga(yo)’, whether ‘-ulgga(yo)’ is located in the final or non-final position in a sentence, whether a pre-final ending precedes and, if so, the type of the pre-final ending, whether the subject of the sentence is first, second, or third person, and the category of predicate combining with ‘-ulgga(yo)’. In order to investigate the sematic usage, the final ending is divided into epistemic modality ‘-ulgga(yo)’ and act modality ‘-ulgga(yo)’, and the corelation between the two modalities and the morphosyntactic usage is investigated. Thus, this study provides an overall picture of how speakers of Korean language use modality final ending ‘-ulgga(yo)’ actually in spoken language.
Predictive Factors of Self-control in Contactless Online Learners' Self- determination Motivation : Mediated effect of self-efficacy

This study aims to provide basic data on establishing online learning by identifying the effects of self-efficacy as a medium on factors affecting self-control according to self-determination motivation through contactless online learning due to Covid-19. The research method used SPSS 25 and Sobel test to examine the causal relationship between the spokesmen and 196 middle and high school students in W-city, Gangwon-do. Self-determination motivation has had a significant effect on self-efficacy and self-control, and self-efficacy has been shown to have a significant effect on self-control. Also, Self-efficacy had a partial mediating effect on self-determination motivation affecting self-control. Based on this, fundamental and continuous development of online education programs to promote self-control of online learners is required, and efforts should be made to support learners' capabilities through psychological counseling.
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining

This paper describes our approach (IIITH) for SemEval-2021 Task 5: HaHackathon: Detecting and Rating Humor and Offense.Our results focus on two major objectives: (i) Effect of task adaptive pretraining on the performance of transformer based models (ii) How does lexical and hurtlex features help in quantifying humour and offense.In this paper, we provide a detailed description of our approach along with comparisions mentioned above.
O QUE QUER UMA CARTA? UMA SISTEMATIZAÇÃO ACERCA DA EPISTOLOGRAFIA DE INTELECTUAIS:

The correspondences are configured as spaces in which there is no homogeneity, being permeated by distinct discursive formations that permeate debates of ideas, requests for favors, sharing of projects and other content that can encompass the intellectual trajectory of a subject. Therefore, they appear as recurring documents in private archives, presenting private and public, personal and relational characteristics, and reflecting sociability practices, thus, we seek to present considerations about epistolary writing, based on the practice developed by Luis da Câmara Cascudo , called “Hermes Universal do Nordeste do Brasil” (GICO, s / d), paying attention to the characterization of such correspondences and the use of epistolography as a propitious space for the construction of an intellectual text.
Using Off-the-Shelf Graphic Design Software for Validating the Operation of an Image Processing System

Fluorescent markers are widely used to protect banknotes, passports, and other documents. Verification of such documents relies upon visual assessment of the markers revealed by ultraviolet (UV) radiation. However, such an explicit approach is inappropriate in certain circumstances, e.g., when discretely checking people for marks left by a pepper gel thrower. The UV light and fluorescent light must not be visible in such applications, yet reliable detection of the markers must still be performed. This problem was successfully resolved using TRIZ methodology, which led to a patent application. The main idea of the solution is to use low-intensity time-variable UV light for illuminating an object and process the image of the object acquired by a camera to detect colour changes too small to be noticed with the naked eye. This paper describes how popular graphics editors such as Adobe Photoshop Elements were used to validate the system concept devised. Simulation experiments used images taken in both visible and UV light to assess the effectiveness and perceptibility of the detection process. The advantage of such validation comes from using commodity software and performing the experiments without access to a laboratory and without physical samples, which makes this approach especially suitable in pandemic times.
Choosing dynamical systems that predict weak input

Somehow, our brain and other organisms manage to predict their environment. Behind this must be an input-dependent dynamical system, or recurrent neural network, whose present state reflects the history of environmental input. The design principles for prediction---in particular, what kinds of attractors allow for greater predictive capability---are still unknown. We offer some clues to design principles using an attractor picture when the environment perturbs the system's state weakly, motivating and developing some theory for continuous-time time-varying linear reservoirs along the way. Reservoirs that inherently support only stable fixed points are generically good predictors, while reservoirs with limit cycles are good predictors for noisy periodic input.
Joint prediction of cocaine craving and euphoria using structured prediction energy networks

In recent years, wearable and mobile health sensing technologies have been developed to track drug usage and monitor different addiction-related states, including craving and euphoria. These states are interdependent and correlated, which is well documented in the literature. However, the state of the art digital biomarker technologies model these states independent of each other and thus fail to use the inherent relationship while making predictions. In our current work, we demonstrate how structured prediction energy networks (SPENs) can be used to capture the correlation and dependencies between self-reported craving, euphoria, and the underlying physiological biomarkers. More specifically, we use SPENs to jointly predict self-reported visual analog scale (VAS) ratings of cocaine craving and euphoria from cardiac signals captured from a wearable chest band. The proposed SPEN-based model can improve the performance of both VAS craving and VAS euphoria prediction by a Normalized Root Mean Square Error of respectively 4.6\% and 5.4\%.
Maybe I Can Help? Google as a Translator and Facilitator for an Inter-lingual Children’s Chat Application

In this paper, we describe the calculation of accuracy and understandability of the Google translations of 15 Nepalese and 22 English letters written by children. The accuracy of the translation is calculated using a Minimum String Distance algorithm comparing with the correct translation. For the Understandability calculation, 92 English and 36 Nepalese children participated in an activity that ascertained this. We found out that most of the translated texts are understandable even if they are not accurate. In the paper, we also unpick how Google Translate loses some information during translation and we discuss its effect on the understandability. We also explore the creativeness of children when they were trying to understand some unclear translations.