Reviewerly/exHarmony huggingface dataset:
Face Recognition Based Attendance Management System Using HOG Feature Extraction and SVM Classifier

Abstract: Face recognition system plays a vital role in almost every sector in this digital era. Face recognition is one of the popular biometrics’ techniques. It can be used for security, authentication, identification and so on. It is having low accuracy when compared to iris recognition and fingerprint recognition, but it is being widely used due to its contactless process. Face recognition technique can also be used for attendance marking field. This system targets to building a class attendance system which is used the technique of face recognition. We all know existing manual attendance system is taking more time and difficult to maintain. And having chances of proxy in attendance. That’s why, the need for this system occurs. This system consists of four phases- registration module, database creation, face detection, face recognition, attendance updating, attendance sending. Database consist of the image of the students in class. Face detection and recognition is performed using HOG feature extraction and SVM (Support Vector Machine) classifier. Faces will be detected and recognized from video streaming of the classroom. Attendance will be mailed to the respective faculty at the end of the lectures. Keywords: Face Recognition; Face Detection; SVM classifier; HOG feature extraction; attendance system;
Image reconstruction using a refined Res-UNet model for medical image retrieval

&lt;p&gt;Measurement of medical data and extraction of medical images with various sensory systems have become a crucial part of diagnosing and treating various diseases. In this contest measurement technology plays a key role in diagnosis. Medical experts usually use previous case studies to identify and deal with the current medical condition. In this context, an expert required to explore the large medical database to search relevant images for the required analysis. Searching such large database and retrieving an image efficiently becomes very tedious task. Therefore, this paper proposed a measurement-based image reconstruction using the refined Res-UNet Framework for Medical Image Retrieval (MIR) for managing such crucial tasks and reduce complexities. The proposed two stage framework consists of an image reconstruction using Res-UNet and index similarity matching of query image with history images. Res-UNet is a vanilla combination of ResNet50 as an encoder that gives latent information of input image, and the decoder from UNet reconstructs the image using latent information. Further, those latent features match similar image features and retrieve indexed images from the medical image database. The efficacy of proposed method was confirmed on benchmark medical image databases such as ILD and VIA/ELCAP-CT for MIR. The proposed framework outperforms the existing methods in the task of MIR.&lt;/p&gt;
Personalized Recommendation Algorithm for University Civics Courses with Multiple User Interests

In response to the problems of unity, lack of relevance, lack of synergy, and inability to form a personalized collaborative education mechanism in the current curriculum setting of university thinking and politics education, a personalized recommendation system for university thinking and politics courses based on the multiple interests of users was developed. The system of interests is divided into two parts: first is initial interest guidance, in which the N meta-model is used to learn the context of known course processes; second is user interest extraction; at the end of creating the recommendation process, facing the diversity of user interests, probabilistic latent semantic analysis trains the interest-service-flow distribution of students to recommend the civics course that matches the current interest for students. A good recommendation algorithm can simulate learners’ enthusiasm and give full play to different learners’ learning personalities. The simulation experiments show that the system is stable in operation, complete in function, and has strong practicality and robustness, which is of positive significance in creating a win-win, diverse, and innovative atmosphere for students’ and teachers’ thinking education in colleges and universities.
Characterological Features of Innovative Education

The topic of the article is relevant as the present-day developments of social and economic changes in our society pose new challenges for pedagogical science in terms of innovative changes based on the international scientific and practical experience of many countries of the world - the USA and also countries of Western and Eastern Europe, representing a new stage of education development complying with the globalization epos, formation of socially oriented economy which requires implementation of radical reforms in education. The purpose of the article is to characterize and theoretically substantiate the features of innovative approaches to creation of contemporary education; to discover pedagogical technologies in the process of achieving the innovative goals of education. The article defines the content of theoretical ideas about education in the knowledge society in the context of appearance of its social reality. The research methodology is built in terms of cultural and historical epistemology, which is based on the analysis of socio-economic attitudes to knowledge and cognition using a comparative review of theoretical developments with the real situation. Changes in politics and social priorities introduced a fundamentally new paradigm of higher education in Ukraine, based on the ideas of the growth of spiritual and intellectual potential of each young person, comprehensive development of one’s personality by introducing a humanistic type of thinking, forming a new mentality, awareness of the multicultural perspectives of the human society development, as well as understanding, recognition and ensuring the culture common to all mankind. The new paradigm of education and upbringing is aimed at transferring from the upbringing of a citizen of a particular country to the upbringing of a citizen of the world, i. e. a person with a sense of responsibility whose education and morality correspond to the complexity of tasks to be solved. This approach means gradual replacement of the causal, deterministic principle of cognition of reality within each discipline with modern methodological approaches.
Cyberfeminism as Science Fiction. Drawn in Japan

In the 80’s representatives of the second wave feminist theory nurtured hopes that new technologies would become an effective instrument of liberating from binary oppositions of patriarchal culture. Donna Haraway saw the potential of social transformations in cybernetic technologies. The fusion of biological, mechanical and cybernetic was to have led to the emergence of new cyborg subjectivity. It should be capable of creating its own culture as well as a new world. Later this narrative would be widely criticized, but in this optimistic form it greatly affected science fiction of the period. The author makes an attempt to present the theoretical components of cyberfeminism as science fiction that engenders cognitive estrangement. Catchy images of cyborgs were born in the performative framework of cyberfeminist theory and popular culture. They continue to affect imagination to the present day. Japanese animation stood at the vanguard of this cultural process. The article considers the visions drawn in Japan as a narrative that represents historical evolution of cyberfeminism. The end of anime’s “golden age” meant the end of a thorough work with cyberfeminism in the language of popular culture. The findings of the study reveal that cyberfeminism is a part of general theory that has subsequently become a part of global discourse of a new posthuman subject. The article emphasises the other part of the phenomenon – cyberfeminist practice – that has successfully adapted to the modern world.
Advaita Epistemology and Metaphysics - A Critical Analysis

In India the philosophers, except the Madhyamika Buddhists and Jayarasi Bhatta, maintain that determination of an object depends on a pramana, a source of cognition. Similarly, pramana depends on prameya padhartha. In the present paper I will deal with the relationship between epistemology and metaphysics from the Advaita point of view. According to Advaita Vedanta, Brahman is the only highest reality. It does never get contradicted. Brahman is sat-cit-ananda i.e. Eternal Existence, Eternal Consciousness and Eternal Bliss. The three aspects -sot, cit and ananda- constitute the essence of Brahman. Brahman is unknown and unknowable. All sources of cognitions [pramana-s) fail to cognize Brahman. It is avanmanasagacara. The nature of Brahman can be explained through the methods of adhyaropa and apavoda. Advaita Vedanta does not admit any relationship between pramiti and Brahman from the higher standpoint. The teachers of Advaita Vedanta hold that the relationship between a pramana and a prameya is real from the lower standpoint. In Advaita epistemology prama'nacaitanya is called vrtticaitanya. According to Dharmaraja, vrtti means modification of mind in respect of the object of cognition [prameya kara). In visual perception of the jar mind goes out of the body through the eye, reaches the jar and takes the form of the jar. Dharmaraja gives an example of visual perception only. But other teachers of Advaita Vedanta admit two types of antahkaranavrtti - pratyaksavrtti and paroksavrtti. In Advaita Vedanta epistemology, the four factors, namely pramatr, prameya, pramana and pramiti- are conditioned consciousness, which are real in the lower level of existence. All forms of worldly and Vedic behaviors that are connected with valid means of cognition and objects of cognition are illusory (adhyasika). Notably, the teachers of Advaita Vedanta refuse to accept any relationship between pramiti and Brahman, but they admit the relationship, between pramana and Brahman. They deny brahmajnana, but they admit brahmakara antahkaranavrtti, which is secondarily called brahmajnana. After a careful analysis it comes to light that in Advaita scheme a knowable object (prameya) is related with both pramana and prameya from the lower standpoint whereas Brahman is exclusively related with pramana from higher standpoint.
Seismic Intensity Estimation using Machine Learning for on-site Earthquake Early Warning (EEW)

&amp;lt;p&amp;gt;Earthquake Early Warning System (EEW) is a technology that calculates earthquake parameter using P-wave that arrives earlier and warns the expected damage area before the arrival of destructive S wave. Therefore, many countries are operating EEW to mitigate damage from earthquake shaking. Especially an on-site EEW is drawn attention as it can reduce blind zones due to using only a single or minimum station. In the on-site EEW, it is important to quickly predict the seismic intensity, which indicates the degree of ground damage, response of structures and ground shaking felt by people at a given location, rather than information on the magnitude or distance of the earthquake.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this study, we suggest a machine learning (ML) model that can directly estimate the seismic intensity scale from initial P-waveforms of three-component acceleration data measured at a single station. We used 1D-Convolutional Neural Networks (1D-CNN), which have been shown good performance in signal processing of speech and medical data which are similar to earthquake signals. K-Net and KiK-net datasets, recorded at stations in Japan, were used for training the ML model. Since the amount of data is enough and all of data are labeled with Japan Meteorological Agency Seismic Intensity Scale (I&amp;lt;sub&amp;gt;JMA&amp;lt;/sub&amp;gt;), the datasets were used as training data in this study. The developed model produced fast and accurate results using only the three-component acceleration field data at a single station.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In order to test applicability of the trained model to the new dataset acquired from other regions, the trained model was applied to the STEAD data which were recorded at stations distributed globally. When the trained model was applied to STEAD data directly, the prediction results were worse than those of K-Net and KiK-net data. The reason is that the characteristics of the ground and waveforms are different depending on the region. Therefore, to solve this problem, transfer learning was applied, and only the parameters of a fully connected layer of pretrained ML model were fine-tuned using small number of both labeled target dataset and training dataset used for pretraining. Moreover, by considering the imbalance problem of the training data for transfer learning, it was able to obtain better prediction results. Ultimately, this study shows the pretrained model with a specific region dataset can provide reasonable prediction of seismic intensity to new dataset acquired from other regions using transfer learning.&amp;lt;/p&amp;gt;
Changes of Class Opinion Leaders under the Mode of Fujian-Taiwan Cooperation in Running Schools Based on the Perspective of IoT Intelligent Analysis

Based on the perspective of IoT intelligent analysis of the 2017 grade advertising class of Fujian-Taiwan cooperation School of Communication College of Fujian Normal University before and after going to Taiwan, this paper studies the impact of Fujian-Taiwan cooperation on the class network by comparing the advertising professional classes that do not accept the Fujian-Taiwan cooperation. From the overall network density of the class, the use of WeChat promotes the information flow of the whole network; Fujian-Taiwan cooperation in running schools significantly improves the class cohesion of Fujian-Taiwan classes; the cohesion of professional classes in the school-based department without the cooperation between Fujian and Taiwan has not been improved. From the perspective of centrality analysis and structural holes: the experimental group and the control group before going to Taiwan have the characteristics of partial female and class committee, and the excellent academic performance is not the necessary condition for the opinion leaders of convention number; the characteristics of the opinion leaders of the control group in the two periods before and after going to Taiwan have not changed a lot, with girls and class committee as the main characteristics; after going to Taiwan, the characteristics of opinion leaders in the experimental group changed greatly, with more boys, more excellent students, and less importance of class committee.
Defining The Map Of Philosophy Of Education In The Age Of Infosphere

In contemporary society, the Internet has sharply redesigned both the scenario of communication and education.By connecting computers and portable devices, the Net has allowed access and planetary sharing of information.This has resulted in a new cultural revolution called "infosphere" by philosopher Luciano Floridi.This revolution needs a specific philosophy.The philosophy of education as a philosophical science can play a critical role in the age of the Infosphere.Based on these premises, this paper aims to deepen, by a hermeneutical methodology approach, the meanings of philosophy of education within the age of digital culture.Secondly, it seeks to understand its possible role and function as a science of digital education within contemporary communication scenarios.To explore this second aim, we have conducted some focus groups with secondary education teachers.A text analysis software has analysed the qualitative data collected through the focus groups.Thanks to this analysis, we have been able to sketch a concept map of the philosophy of education and show its potential as an educational science capable of understanding and removing possible paradoxes, criticalities, obscure and hidden aspects of the Internet.The paper will conclude by highlighting the relevance of the philosophy of education as a critical tool for contemporary teachers and educators who deal with the Internet and ICT.
SUPPLY CHAIN MANAGEMENT PRACTICES AS A MEDIATOR VARIABLE FOR THE IMPACT OF THE PRODUCT DEVELOPMENT STAGES ON OPERATIONS MANAGEMENT DECISIONS

In this study, the researchers have attempted to determine the common Supply Chain Management (SCM) activities that were used as a mediator variable and influenced the effect of the product development stages on the implementation of operation management decisions in the companies belong to the Al-Manaseer Group in Jordan. For this purpose, they used a quantitative method, wherein they distributed questionnaires to the employees and management of the Al-Manaseer Company groups (such as the Director, Department Director, Head of the Section, Workers' Monitor). This helped them understand the relationship between the product development stage and the operational management decisions. They noted that the SCM activities were a significant variable that mediated the effect of the product development stage on the operational management decisions. Based on the findings of the study, the researchers recommended that The Group needs to show a higher interest in the site costs as the selection indicator and for determining the preliminary estimates while considering the information sharing.
Information System Design of Web-Based Document Archives Management In The Office Bappeda of North Sumatra Province

Archives are important documents that are stored with the aim that if they are needed again the archive will be easy to find. Archives have an important role in the Regional Development Planning Agency (BAPPEDA) of North Sumatra Province, so it is hoped that the archive management process is good, fast, and easy. If the archives are not managed properly it will have an impact on the difficulty of finding information and this can hinder the next stage of work. Departing from these problems, a digitalized information system is needed to record these documents. Therefore, archives must be managed with a good and correct management system. This study discusses the design of a document archiving information system according to the needs of the Regional Development Planning Agency (BAPPEDA) of North Sumatra Province based on the system design that has been compiled including use case diagrams, activity diagrams and sequence diagrams. The Regional Development Planning Agency (BAPPEDA) of North Sumatra Province still uses the manual method in managing archives, so with the creation of this system, it is hoped that it can help the work of the Regional Development Planning Agency (BAPPEDA) of North Sumatra Province in terms of archive management. Searching data is also easier and faster because officers or employees do not need to look for archives in books or files listing items that have piled up because they can look at the archive database in the agency.
How Company Size, Learning Process and Financial Literacy Support SME's Sustainability

The Small and Medium Enterprises sector play an important role in contributing to the economic growth of a country.Therefore, It is a big challenge for SMEs to grow in the business complexity the future.SMEs must improve their financial performance in the long term to keep them going concern in their business.One of the strategies is to apply management practices which is carried out in business processes.SMEs in Indonesia has to improve their business process to enter the international market.One of the issue in the SME's business is Sustainability.The purpose of this study is to determine and describe if the size of the company's learning process and financial literacy in encouraging the sustainability of SMEs.This type of research is included in quantitative research using research instruments in the form of questionnaires.This research was conducted on 168 SMEs in Cimahi City (West Java, Indonesia) as the population and the sampling technique used random sampling with a total sample of 63 SMEs.The study found that the size of the company and the learning process does not affect in encouraging the sustainability of SMEs.Financial literacy is affect in encouraging the sustainability of SMEs.Meanwhile, simultaneously the size of the company, the learning process, and financial literacy affect the sustainability of SME's.
Improving Student's Listening Skills through Plays Audiovisual Learning Novel

This study aims to improve the listening skills of students at Cendramata Junior High School Medan by using audiovisual learning novels. The research population is class VII with a total of 15 people. The research method uses Classroom Action Research (CAR) with 2 cycles. The data analyzed qualitatively will describe the quality of students' listening skills in CAR. The study also tested the hypotheses which were analyzed using the Wilcoxon test to determine the significance of improving students' listening skills. The research concludes that students' listening skills can be optimized through audiovisual playback. It appears that 80% of students are able to synthesize the story plot in the novel. Mastery learning outcomes have also reached 86.7% in cycle 2 with an average score of 79.33. The increase in learning outcomes obtained is also significant, namely sig &lt; that is accepted by Ha, namely there are differences in student scores between cycles. Based on the Wilcoxon test, it was known that there were 11 students in cycle 1 whose scores increased in cycle 2 and only 4 students whose scores remained constant. Thus, this study concludes that students experience an increase in listening skills through playing audiovisual learning novels.
Building Front-End Rekaruang Application Using Waterfall Development Method in The Design Order Module

Based on research conducted on sixty-ninth-grade female students at Shiraz high school, interior design was able to improve mental health and decrease anxiety and insomnia. This research result shows that the importance of applying interior design to a person's psychological health. However, nowadays, many people do not care about implementing interior design because they are worried if the results are not as desired. It becomes a problem for interior designers in getting customers. Based on these problems, the researcher tries to provide a web-based practical application for bridging interior designers with clients as building owners. This research only focuses on developing Front-End applications using the JavaScript programming language and the vue.js framework. This study applies the waterfall method as a software development method. This research produces a design application that can be a place for interior designers to get clients through design messaging services. This application testing using a user acceptance test. The test results show that three out of five interior designers have accepted the entire process of the design Order service. While the other two designers have accepted conditions for some process on the design Order service to help get clients.