Reviewerly/exHarmony huggingface dataset:
Feature Learning Approach for Facial Recognition Using Deep Metric Learning

Standard deep learning in the context of facial recognition involves inputting a single image and outputting a label for that image. Deep metric learning distinguishes itself by outputting a real valued feature vector instead of a single label. The usage of deep metric learning has revolutionised facial recognition, making it very accurate and reliable. This paper exhibits the accuracy and reliability of the facial recognition model using deep metric learning in the application of an automated attendance system. The paper presents a non-intrusive attendance system which uses the described neural network to recognize faces and record attendance. The system uses the pre-trained neural network to generate embeddings for faces, using a method known as the triple training step, which is described in the paper. These embeddings are generated from a collection of photos per person. After the embeddings are generated, the system is ready to perform facial recognition on sample photos. CNN is used for facial detection in the sample group photos. Once the faces are detected, a KNN classifier is used for recognizing faces. Finally after the faces are recognized, the attendance for each recognized student is marked in the database. Thus, the whole process of attendance was automated without the requirement of human interaction.
Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions

We study how language use differs between dialogue partners in a visually grounded reference task when a referent is mutually identifiable by both interlocutors vs. when it is only available to one of them. In the latter case, the addressee needs to disconfirm a proposed description – a skill largely neglected by both the theoretical and the computational linguistics communities. We consider a number of linguistic features that we expect to vary across conditions. We then analyze their effectiveness in distinguishing among the two conditions by means of statistical tests and a feature-based classifier. Overall, we show that language mirrors different grounding conditions, paving the way to future deeper investigation of referential disconfirmation.
The Telework Rush Tested States' Cybersecurity, IT Maturity

When the COVID-19 pandemic forced state government employees to start working from home earlier this year, no one was fully prepared. Most employees hadn't been acclimated to the isolation they wou...
Improved interop blockchain applications for e-healthcare systems

Blockchain in healthcare plays a vital role in the form of encryption-based technology, which has been used to keep the patients&apos; data in a secured and more distributed way. Blockchain technology in E-healthcare is also being used for digital payment systems that focus on cybersecurity, EHRs (electronic health records), patients data management, and so on. The framework has been designed to describe the major obstacles to the adaptation of blockchain technology in E -healthcare, such as data security, interoperability, data integrity, identity validation, and scalability. In addition, here comes the Ethereum as new technology based on blockchain technology. Ethereum is used for developing distributed applications (DApps) and replacing the Internet of third parties which store data, transactions and keep track. Using Ethereum, there is a chance to recreate the Internet without the involvement of third parties. The process of elimination of the third party could be implemented using smart contracts by creating trust, and Ethereum uses consensus proof -of -work (PoW), and Ethereum provides a peer -to -peer network to eliminate the involvement of third parties. The proposed system is a proof -of -concept implementation of a blockchain for research in clinical trials.
한국어 학습자의 등급별 오류 분석 -로지스틱 회귀모델을 이용한 통계분석을 중심으로-

This study attempted to grasp the characteristics of errors according to the proficiency level of Korean learners by statistically analyzing the corpus in large-scale learners. This study examined the characteristics of proficiency-level errors in the location, pattern, and level of errors in the learner’s corpus using the multinominal logistic regression model along with observing the occurrence rate. As a result, some errors showed that the frequency or probability of occurrence decreased significantly as the proficiency level increased, but there were some types of errors that appeared steadily. Through this study, the characteristic types of proficiency-level errors were presented. This study is significant in that it statistically searched for significant variables at each stage of learning by comparing and analyzing the overall errors using large-scale learner balanced corpus data. (Cyber Hankuk University of Foreign Studies)
PERINGATAN DINI MASA STUDI DAN IPK MAHASISWA BERBASIS FRAMEWORK FOR APPLICATION OF SYSTEM THINKING

Universities must graduate students according to the curriculum that has been prepared, no later than 14 semesters, if they cannot be fulfilled, students must drop out. Based on graduation data for the last 3 years data on the number of graduations on time was found to be 60%. This means that this will reduce the achievements set out in the 2015-2020 Strategic Plan. If there is no structured and systematic effort, then there is the potential for graduation with an uncontrolled study period. Unfortunately, until now the system that has been built by PT has not been optimal can encourage students to graduate on time. Attempts to achieve timely graduation can be done by involving all lecturers, students, and academic implementing elements to monitor the academic track record of students since being registered as students. Monitoring of the student's academic track record includes attendance, independent assignments, structured assignments, practical assignments, library visits, consultations with PA, IP, and GPA lecturers. The results of supervision are measured at the minimum standard that must be achieved, by connecting all existing variables it can be concluded that the student can pass on time. The purpose of this study is to identify student track records, to connect with minimum standards that must be achieved, to conduct systems-based analysis so that an estimate of graduation performance is generated. Applications that will be generated are based on Framework for Application of System Thinking (FAST) that is good enough to provide early warning to students to graduate on time, and can monitor and monitor the value of discipline so as to prevent academic violations that affect the study period. FAST can analyze existing problems and can design the system. FAST has eight stages, where the first five stages are the stages of system analysis and the next three stages are the design stages. Applications are supported by means to disseminate information quickly and precisely, to fulfill it, use SMS and e-mail as a medium to transmit information from the system to students and academic advisers. If this application is implemented, it can give a warning to students before academic sanctions are issued.
O PAPEL DA FAMÍLIA NA LUTA CONTRA A PROPAGAÇÃO DA PANDEMIA DA COVID-19 EM ANGOLA

RESUMO O processo educativo e complexo e transversal. As formas educativas dependem da perspectiva que se tracar no tocante ao mesmo, podendo redundar em educacao informal ou formal. Perante a pandemia da covid-19, o pais entrou pela primeira vez num Estado de Emergencia, obrigando a que familias se confinam em casa e as instituicoes definam um programa de trabalho para garantir a sua prossecucao. Na intencao de saber como as familias estao a lidar com a sua permanencia atipica nas residencias, elaborou-se o presente artigo como resultado de uma investigacao no referido sentido. O artigo, para alem dos aspectos teoricos, comporta a analise de resultados obtidos a partir das respostas dos participantes via on line fazendo recurso o Google forms para sua construcao, e os e-mails , Whatsapp e Facebook , assim como as conclusoes retiradas na abordagem. PALAVRAS-CHAVE : familia; propagacao; pandemia e covid-19. ___________________________________ ABSTRACT The educational process is complex and transversal. The educative forms depend on the perspective that is traced in relation to it, being able to result in informal or formal education. Faced with the covid-19 pandemic, the country entered for the first time a State of Emergency, forcing families to confine themselves to their homes and institutions to define a work program to ensure its continuation. In order to find out how families are dealing with their atypical stay in their homes, this article has been prepared as the result of an investigation in this regard. The article, besides the theoretical aspects, includes the analysis of the results obtained from the responses of the participants via online using Google forms for its construction, and e-mails, Whatsapp and Facebook, as well as the conclusions drawn in the approach. KEY-WORDS : family; spread; pandemic and covid-19.
Design of Web-Based Cashier and Spare Part Warehouse Application Display (Case Study at Surya Motor Shop)

A cashier and spare parts warehouse application is an information system facilitating financial reporting and items inventory systems. This has become a necessity in almost all fields of large and small-scale businesses in every country. The information system that belongs to Surya Motor Shop does not have a display that can facilitate users in operating the company's financial and transaction systems in accordance with company needs. This information system uses Bootstrap with HTML, CSS, and Javascript programming languages. In this paper, an interactive display was developed, so as to be able to accommodate web users' responses, by developing a prototype using Bootstrap at the Surya Motor Shop. This was carried out to digitize the transaction system, making it easier to report the items inventory and financial reporting of the company. The prototype development was developed using the The Elements of User Experience method, a user-centered design process. After developing the prototype, a test was carried out to determine the quality of the user experience. The test employed the User Experience Questionnaire (UEQ) method. UEQ testing shown that the prototype interface developed had a positive level of user experience. Compared with the benchmarks set by UEQ, the test results were above the mean benchmark, except for the pull factor which was still below the benchmark average.
Security Operation System

The number of cyber attacks and cyber crimes grows every year. This is why there constantly appear new products, technologies and tools for protection against cyber threats. Security Operation Center (SOC) is one of the most up-to-date and reliable cybersecurity tools of enterprise level. There are already several SOCs in Ukraine in government and law enforcement bodies and there is strong interest to their implemen-tation shown by organizations and enterprises of practically every industry of national economy. SOC al-lows monitoring, detection and quick response to incidents which is necessary to reduce damage and fi-nancial losses caused by such incidents. Implementation of SOC requires significant expenses which can be afforded only by some organizations and enterprises. This is why creation of similar but more affordable tool is very urgent. The paper describes Security Operation System (SOS) designed for effective protection against cyber threats and cyber attacks, which collects, normalizes, correlates and analyses events in or-ganization’s IT infrastructure. Main advantage of this system is ability to receive information on events from different sources and their correlation which is important as today attacks can only be discovered on the basis of combination of events in the IT infrastructure. Another advantage of SOS is ability to add new correlation rules into analytical module which can be based on the unique experience of system exploita-tion, analysis of new attacks against organization’s IT infrastructure or borrowing such correlation rules from other organizations.
A watermark-based in situ access-control model for image big data

When large images are used for big data analysis, they impose new challenges in protecting image privacy. For example, a geographic image may consist of several sensitive areas or layers. When it is uploaded into servers, the image will be accessed by diverse subjects. Traditional access-control methods regulate access privileges to a single image, and their access-control strategies are stored in servers, which impose two shortcomings: (1) fine-grained access control is not guaranteed for areas/layers in a single image that needs to maintain secret for different roles and (2) accesscontrol policies that are stored in servers suffer from multiple attacks (e.g., transferring attacks). In this chapter, we propose a novel watermark-based access-control model in which access-control policies are associated with objects being accessed (called an in situ model). The proposed model integrates access-control policies as watermarks within images, without relying on the availability of servers or connecting networks. The access control for images is still maintained even though images are redistributed again to further subjects. Therefore, access-control policies can be delivered together with the big data of images. Moreover, we propose a hierarchical key-role-area model for fine-grained encryption, especially for large-sized images such as geographic maps. The extensive analysis justifies the security and performance of the proposed model.
Controllable quantum interference and photon transport in three-mode closed-loop cavity-atom system

In recent years, it has been a hot research topic to study the interaction between atomic ensemble and cavities, and many researches have been done in this regard. In such a system, some atoms are trapped in the cavity, which can be used to study their dynamic characteristics, e.g., the evolution of photon numbers and photon transition. The Jaynes-Cummings model is an important model for studying the dynamic characteristics of the cavity-atom system, which is based on the interaction between a single two-level atom and the cavity field. Recently, coherent photon control in cavity under specific conditions has become an important part of quantum computing and communication. It is worth noting that the tunable photon transmission and all-optical switches based on the cavity have already aroused much interest and have been used in many areas. The quantum information and networks are mostly rooted in complex optical devices, which may show nonreciprocal or asymmetric photon transport. In this paper, we demonstrate that by using an optical closed-loop system the unconventional photon transport can be realized with two mutually perpendicular cavities coupled through external fiber and a two-level atom placed on the intersection. This three-mode system supports two orthogonal propagation directions, that is to say, and the interactions among probe fields are mutually perpendicular. Without ignoring the spontaneous decay of the natural atom, the complex and controllable quantum interference induced by the efficient hybrid interaction of the light, cavity modes, and the atom in such a closed-loop structure can result in a few interesting symmetric and asymmetric photon transport behaviors, i.e. coherent perfect synthesis and coherent perfect reflection. Aside from these compelling properties, the group velocity can also be modulated, i.e., fast and slow light effect. All of these processes can be dynamically controlled by using the probe field phase difference, the tunneling coupling between two cavities and the coupling between the cavity and the atom. Importantly, due to so many advantages, such a tunable scheme can be readily extended to some optical devices, e.g., the switch and the router that is challenging to conventional optical devices.
Relationship Between Knowledge Management and Ethical Leadership on Human Capital Management in Herbal City Community Enterprises: Study on the North of Thailand

The productivity of an organization directly depends upon its human capital. Therefore, human capital management is a primary unit which is responsible for the generation of more productivity and the accomplishment of vying advantages by an organization. There are a number of factors that directly impact human capital management; however, according to the current study, knowledge management and ethical leadership have a direct effect on human capital management of organizations, particularly in the North of Thailand. Hence, in the current study, there is a positive influence of knowledge management on ethical leadership and human capital. While ethical leadership mediates between the relationship of knowledge management and human capital management. Moreover, a survey based on 690 employees working in various organizations in the North of Thailand was conducted to collect primary data. A statistical software named Partial Least Square (PLS) was used to analyze the collected primary data to produce the results of the current study. It was concluded that effective knowledge management and ethical leadership have a formative influence on human capital management, which plays a significant role in achieving competitive advantages for an organization. Hence the current study is a booster for the practitioners to bring advancement in human capital management.
Use of spectral surface characteristics for mapping soil cover structure under Krasnoyarsk forest-steppe conditions

The relations between the spectral surface characteristics of the elements of the soil cover structure and soil properties in the Krasnoyarsk forest-steppe of Central Siberia were investigated. It was revealed that the most informative parameters for field spectrometry are the content of humus, carbonate carbon dioxide and the prevailing particle-size fractions. A statistically significant relationship between the elements of the soil cover structure and the reflectivity of soils has been confirmed by means of multidimensional statistics. The wave lengths with the greatest coupling force are highlighted. Regression equations for remote study of soil cover structure have been obtained, which can be used if additional point studies are carried out in a wider range of test parameters.
Visualization, Interaction and Simulation Lab at UFRGS

The Visualization, Interaction and Simulation Laboratory (VISLab) is part of the Computer Graphics, Image Processing and Interaction research group, which started its activities in 1978 developing projects mainly on rendering and animation. Along the years, as new researchers joined the group, new research fields such as image acquisition and analysis, virtual reality, non-conventional interaction, and visualization of complex data started to be investigated. Within this group, VISLab is majorly concerned with research on human-computer interaction, with emphasis on non-conventional, 3D interaction and haptics, and immersive visualization in the context of virtual and augmented reality applications. In this paper, we present the research of the VISLab and the strategy being used to achieve its main goal: to enhance the human with computers, extending the perception capabilities and improving the human power of action in a natural way.
Optimization research of radio monitoring network for the Beijing 2022 Olympic Winter Games

The 24th Olympic Winter Games will be held at Beijing and Zhangjiakou in 2022.The radio security is one of the most essential work to make the Olympic Games and ceremonies go smoothly.The planning of the radio monitoring network is the basis of the radio security.This article introduced a coverage capability assess method for the radio monitoring network.A optimization scheme was brought out considering the assessment results, the local geography and construction, using the Yanqing division as an example.With this scheme, the coverage capability of the monitoring network in Yanqing division will be optimised elaborately.
Importance of the Single-Span Task Formulation to Extractive Question-answering

Recent progress in machine reading comprehension and question-answering has allowed machines to reach and even surpass human question-answering. However, the majority of these questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehension abilities. Among the three of BERT-based models we ran, RoBERTa exhibits the highest consistent performance, regardless of size. We find that all our models perform similarly on this new, multi-span dataset (21.492% F1) compared to the single-span source datasets (~33.36% F1). While the models tested on the source datasets were slightly fine-tuned, performance is similar enough to judge that task formulation does not drastically affect question-answering abilities. Our evaluations indicate that these models are indeed capable of adjusting to answer questions that require multiple answers. We hope that our findings will assist future development in questionanswering and improve existing question-answering products and methods.
The Time Has Come…For Next-Generation Open Access Models

Libraries, consortia, and publishers are exploring new models to support Open Access (OA) content. Native OA journal publishers are facing a different set of challenges as there is no existing library subscription base to transform into support for OA. Author-pays OA models are challenging to the ecosystem for a variety of reasons. Large institutions with heavy scholarly output may pay more, small institutions that use the content but publish less are wondering what role they will play, and authors from the global south may not have funding to pay Article Processing Charges (APCs). What new models are under exploration to address the complexity of funder mandates, reduce administrative burden of complex APC models, and the need to be more inclusive of a diverse community?
Utilizing Bio Poem To Improve The Students’ Ability To Write Descriptive Text At Eight Grade At MTs Darul Ilmi Batang Kuis

This research aimed to improve the students’ writing skill on descriptivetext by using bio poem technique. This research was conducted by usingClassroom Action Research (CAR). The subject of this research was VIII-5 gradeof MTs Darul Ilmi Batang Kuis 2019/2020 academic year which consisted of 30students. The objective of this research was to improve the students’ writing skillby using bio poem technique. This research was conducted in two cycles whicheach cycle consists of planning, acting, observing, and reflecting. The data weregathered through quantitative and qualitative data. The result of this researchshowed that there was increasing of students in writing skill on descriptive text.The mean of pre-test was 50,4. The mean of post-test 1 was 63,8 and the mean ofpost-test 2 was 75,6. It indicated that the scores and the mean in second cyclewere better than the first cycle. The percentage of students who got point > 75also grew up. In the pre-test, the students who got score > 75 up were 3 students(10 %). In the post test of cycle 1 the students who got score > 75 were 10students (33,3%). The post-test of cycle 2, students who got score > 75 were 24students (80%). In other words, the students’ skill in writing descriptive text wasimproved and changed better in the first meeting to the next meeting.