Reviewerly/exHarmony huggingface dataset:
Movement-Mediated Communication Between Human and Machine

This paper proposes Mahalanobis Distance – Pattern approach for human machine teamworking. IoT insists that humans and machines work together on the same team. But to realize this, humans and machines need to communicate. Up to now, machines move based on human instructions and their worlds are separate. But if it comes to human-machine teaming, what we share with machines is movement. Therefore, we developed Mahalanobis Distance-Pattern approach by utilizing ordinal scale Mahalanobis Distance and temporal variation of dynamic movement data. This is Non-Euclidean approach. So, it works very good for making strategic decisions how to achieve better movements.
A Newly Proposed Technique for Summarizing the Abstractive Newspapers’ Articles Based on Deep Learning

In this new era, where tremendous information is available on the internet, it is of most important to provide the improved mechanism to extract the information quickly and most efficiently. It is very difficult for human beings to manually extract the summary of large documents of text. Therefore, there is a problem of searching for relevant documents from the number of documents available, and absorbing relevant information from it. In order to solve the above two problems, the automatic text summarization is very much necessary. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings. More specific, Abstractive Text Summarization (ATS), is the task of constructing summary sentences by merging facts from different source sentences and condensing them into a shorter representation while preserving information content and overall meaning. This Paper introduces a newly proposed technique for Summarizing the abstractive newspapers’ articles based on deep learning.
Deep Ranking with Adaptive Margin Triplet Loss

We propose a simple modification from a fixed margin triplet loss to an adaptive margin triplet loss. While the original triplet loss is used widely in classification problems such as face recognition, face re-identification and fine-grained similarity, our proposed loss is well suited for rating datasets in which the ratings are continuous values. In contrast to original triplet loss where we have to sample data carefully, in out method, we can generate triplets using the whole dataset, and the optimization can still converge without frequently running into a model collapsing issue. The adaptive margins only need to be computed once before the training, which is much less expensive than generating triplets after every epoch as in the fixed margin case. Besides substantially improved training stability (the proposed model never collapsed in our experiments compared to a couple of times that the training collapsed on existing triplet loss), we achieved slightly better performance than the original triplet loss on various rating datasets and network architectures.
Zoo-Archaeology Using Deep Learning-Tensorflow in Linux

Zooarchaeology is the process of identifying the various animals by its bone. Each animals is having different types of bone structure. We use digital image processing technique for this process. Get the input from the sensor/camera or bone images. Convolution is applied on the image the output image can be segmented. From the segmented part we apply the edge detection, so that the bone structure of animal can be identified accurately. After getting structure of animal bone, we have to teach it to machine. It automatically recognises the animal by its bone using Tensor flow.
An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures

Processing massive application graphs on distributed memory systems requires to map the graphs onto the system's processing elements (PEs). This task becomes all the more important when PEs have non-uniform communication costs or the input is highly irregular. Typically, mapping is addressed using partitioning, in a two-step approach or an integrated one. Parallel partitioning tools do exist; yet, corresponding mapping algorithms or their public implementations all have major sequential parts or other severe scaling limitations. In this paper, we propose a parallel algorithm that maps graphs onto the PEs of a hierarchical system. Our solution integrates partitioning and mapping; it models the system hierarchy in a concise way as an implicit labeled tree. The vertices of the application graph are labeled as well, and these vertex labels induce the mapping. The mapping optimization follows the basic idea of parallel label propagation, but we tailor the gain computations of label changes to quickly account for the induced communication costs. Our MPI-based code is the first public implementation of a parallel graph mapping algorithm; to this end, we extend the partitioning library ParHIP. To evaluate our algorithm's implementation, we perform comparative experiments with complex networks in the million- and billion-scale range. In general our mapping tool shows good scalability on up to a few thousand PEs. Compared to other MPI-based competitors, our algorithm achieves the best speed to quality trade-off and our quality results are even better than non-parallel mapping tools.
Educación virtual universitaria: posibilidad real de formación o respuesta improvisada ante la emergencia sanitaria

The impact of the Covid-19 pandemic on world education has forced the implementation of the virtual modality. Due to the relevance of this reality, the objective was to identify virtual university education in Latin America, specifically at the Autonomous Regional University of Los Andes, as a real possibility of training or the improvised response to the health emergency. Descriptive-qualitative research was used. The documentary findings indicated that the supervening implementation of virtuality in Latin America shows limitations such as: weak computing infrastructure, poor teacher training, limited availability of equipment and student population without skills for virtual education; however, those involved deserve recognition for the great efforts made. For their part, teachers maintain that virtual education can be a real possibility of training, but conditional on the application of pedagogical designs appropriate to the virtual modality and the ease of access to technological platforms.
한국 해외 홍보 매체에 나타난 문화소 번역 전략 연구 : 코리아넷 아랍어 웹사이트를 중심으로

This study analyzed the translation strategies of Korean culture-specific items displayed on the Korea.net Arabic website, the government’s representative overseas PR media. 25 articles with a large number of culture-specific items were selected and analyzed among 74 articles published in the Culture section of the Korea.net Arabic website for a total of 7 months from August 2020 to February 2021. The themes of the selected 25 cultural articles were the contents of related cultural events according to the period, such as Chuseok and New Year’s Day, Kimchi-making Season, Lotus Lantern Festival, and Hangeul Day. Culture-specific items were classified into proper nouns such as country, administrative districts, place name, and building name, and other cultural elements such as food, clothing, holidays, according to the classification method of Lee Geun-hee(2008). As expected, a number of strategies to convey meaning along with transliteration appeared as part of an effort to inform Arab readers of Korean culture-specific items. However, it found the need to establish norms or unified standards for culture-specific items translation strategies, especially in transliteration.
Effect of Input Data Video Interval and Input Data Image Similarity on Learning Accuracy in 3D-CNN

3D-CNN is one of the deep learning techniques for learning time series data. However, these three-dimen-sional learning can generate many parameters, requiring high performance or having a significant impact on learning speed. We will use these 3D-CNNs to learn hand gesture and find the parameters that showed the highest accuracy, and then analyze how the accuracy of 3D-CNN varies through input data changes without any structural changes in 3D-CNN. First, choose the interval of the input data. This adjusts the ratio of the stop interval to the gesture interval. Secondly, the corresponding interframe mean value is obtained by meas-uring and normalizing the similarity of images through interclass 2D cross correlation analysis. This experi-ment demonstrates that changes in input data affect learning accuracy without structural changes in 3D-CNN. In this paper, we proposed two methods for changing input data. Experimental results show that input data can affect the accuracy of the model.
Application of infrared spectroscopy to mineral exploration in the Central Kamchatka Volcanic Belt, Eastern Russia

Reflectance Spectroscopy can be utilized to identify minerals found in geothermal environments. Detection in the Visible through Short Wave Infrared (SWIR) portion of the Electromagnetic Spectrum (350 to 2500 nanometers) is possible at the outcrop using field spectrometers. This technique analyzes the clays, sulfates, carbonates, silica, and chlorites that dominate these alteration suites. BHP is pursuing a precious metals exploration program in the Central Kamchatka Volcanic Belt of Far East Russia. Dynamic hydrothermal systems are actively precipitating As and Sb with Au, Ag, Cu, Pb and Zn from sodium chloride solutions in the discharge zones. The alteration is complex with zoned clay envelopes of dickite--&gt; kaolinite--&gt; montmorillonite and zones showing a progression from montmoriilonite--&gt; alunite--&gt; natro-alunite, in close proximity to gold-pyrite-quartz breccia veins. A detailed knowledge of the highly complex alteration zones in these systems is essential to develop an understanding of the potential deposits. This paper will discuss how infrared techniques are being used in the field to identify minerals and to map alteration sequences.
Using digital media resources to train future education managers

This article highlights the topic of using digital media resources in training specialists - future education managers. At the present stage, the relevance of training future education managers is important for improving the quality of educational services in educational institutions. Research methods: theoretical analysis, methods of questioning and survey among students and teachers. The article presents the obtained experimental data on the study of the development of creative thinking of future education managers. The analysis was made of modern teaching methods, common to which is the focus on self-education through open access and media resources to information. The most popular at the moment are video materials, presentations. Little coverage in the educational process of the university is given to the topic of online libraries. Online libraries are an important part of education and contain a large amount of scientific data. The survey revealed that only 32% of students - future education managers are familiar with online libraries. The development of creative thinking should be a priority in the training of future managers of the secondary and higher education system.
UPAYA PENGENALAN ANGKA DAN MENINGKATKAN KOSAKATA ANAK USIA 2 TAHUN MELALUI VIDEO BOB THE TRAIN

&lt;p&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Video edukasi anak biasanya tidak hanya menyajikan cerita edukasi, tapi juga dilengkapi dengan kegiatan seperti menyanyi dan menari bersama. Hal ini membuat video edukasi anak tidak hanya baik untuk melatih kecerdasan kognitif, tapi juga membantu perkembangan motorik bagi si kecil. Video edukasi yang digunakan dalam penelitian ini adalah &lt;em&gt;Bob The Train &lt;/em&gt;yang akan membantu anak usia 2 tahun dalam menambah kosakata khususnya pada bilangan angka. Jenis penelitian yang digunakan adalah deskriptif kualitatif dan pengumpulan data digunakan dengan cara observasi, wawancara, dan catatan pada saat di lapangan. Penelitian ini menunjukkan bahwa ada dampak positif yang dapat diterapkan pada subjek peniliti yaitu anak usia 2 tahun yang berjumlah 1 orang. Hal ini dapat ditunjukkan dengan adanya perkembangan kosakata subjek peneliti dengan bisa menyebutkan angka 1-10 dan juga bertambahnya kosakata dengan cara bernyanyi sesuai dengan video yang sering ditonton oleh subjek peneliti.&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em style="mso-bidi-font-style: normal;"&gt;&lt;span style="font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman','serif'; mso-fareast-font-family: 'Times New Roman'; color: #222222; mso-ansi-language: EN-US; mso-fareast-language: IN; mso-bidi-language: AR-SA;"&gt;&lt;em&gt;Educational videos for children usually do not only present educational stories, but also are complemented by activities such as singing and dancing together. This makes children's educational videos not only good for training cognitive intelligence, but also for helping the little one's motor development. The educational video used in this study is Bob The Train which will help 2 year olds to add vocabulary, especially to numbers. The type of research used is descriptive qualitative and data collection is used by means of observation, interviews, and notes while in the field. This study shows that there is a positive impact that can be applied to the research subject, namely a child aged 2 years. This can be shown by the development of the vocabulary of the research subject by being able to say the numbers 1-10 and also the increase in vocabulary by singing in accordance with the videos that are often watched by research subjects&lt;/em&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
Татарстан Республикасының білім беру жүйесіндегі инклюзивті тәжірибенің даму өлшемшарты ретінде педагогикалық қызметке дайындық

An interdisciplinary study examines the problems of implementing the concept of inclusive education in the education system of the Republic of Tatarstan. An urgent problem is the lack of training of teachers of General education organizations to work with children with disabilities who have special educational needs, which makes it necessary to form professional competencies of teachers related to the development of the ability to design and implement innovative technologies of educational and correctional work aimed at achieving educational results. The purpose of the study was to identify the opinions of teachers about the difficulties of implementing the concept of inclusive education in the national educational system and their readiness to be active in the new conditions. The object of the author's research was chosen pedagogical discourse. Written works (essays) of primary school teachers and subject teachers were used as a communication space reflecting pedagogical discourse. Discourse analysis was used as the main research method. The results of the analysis of pedagogical discourse confirmed the research hypothesis about the lack of training of teachers of the General education system to work with children with disabilities and indicate that the common problem of all teachers is the lack of positive motivation to work; lack of special knowledge about the organization of the educational process; practical skills necessary to work with children with special educational needs. The research data presented in the article give grounds to say that the Republican education system should create conditions for the development of inclusive practices using the network interaction of educational organizations, health and social protection institutions, constant methodological support for teachers, innovative teaching experience.
A study on the perception and acceptance of UiTM’s undergraduates towards open and distance learning method in Mandarin language teaching and learning during covid-19 movement control order period / Tay Yang Lian and Chin Jing Ru

The unexpected transformation from traditional face-to-face classes to Open and Distance Learning (ODL) mode, due to the implementation of Movement Control Order (MCO) caused by COVID-19 pandemic, has deeply affect the basic Mandarin learners in higher education institutes. After studying Mandarin level 1 through face-to-face classes for only three weeks, students were forced to adjust and adapt to ODL mode within a short amount of time. This situation would inevitably affect their learning quality and progress during the MCO period. Hence, a study on the students’ perception and acceptance towards ODL under this circumstance is crucial as a pilot test, to establish a better understanding on the possibility of ODL’s sustainability as a necessary component in learning Mandarin henceforward. Such study will also help to apprehend and further satisfy students’ requirement on studying Mandarin through ODL, so that it will become an ideal complement, or even a more preferred main option compared to the conventional teaching activities.
의 청년 재현과 서사 분석

Television dramas generate discourses on social reality and produce cultural products. Researchers pay attention to the representation and narrative of popular culture based on social discourse and participate in cultural forums, often employing criticism. The discourses focused here on are youth representations and narratives of the types actively discussed at present. Since 2010, self-portraits of the young generation have been considered as a symptom of the times. In the discourse related to youth, terms such as 'survival', 'abandonment and resignation', and the 'neoliberal subject of self-innovation', young men are represented as otherized objects. Pattern of generational conflict are also seen in various areas of society. In this context, this study regards the drama Itaewon Class as a social interpretation of the conflict between youth and other generations, with a closer examination of this narrative. Through diverse youth characters, the drama presented new values beyond material aspects, such as convictions, ambition, trust, faith and solidarity. However, the narrative did not properly reflect the changes in the area of Itaewon, the actual name of the location. Itaewon was presented as a space of admiration for the superficial freedom of young people and as an epic space of hostile confrontation, showing limits in the form of a device by which a hero fantasy is retained rather than reality. However, the problems of restoring identity, self-esteem, and value in the lives of youth presented by this drama are issues important to recall.
PERANCANGAN SISTEM INFORMASI MANAJEMEN PROYEK : SISTEM PENGGAJIAN KARYAWAN

Humans who lived in the era of technology as it’s today definitely familiar with the implementation of technology in daily their life. Almost all human activities using technology, was no exception in the economy. The system is not only helpful but also simplify, shorten, and accurate, such as the Payroll System at PT Polymindo Permata. Every month an economic activity that has employees must have activity employee payroll as an appreciation of their work, as well as the PT Polymindo Permata. During this time the company is still recording and doing payroll calculations just using Microsoft Excel. It all doesn’t matter when the employees is just a few, but as the company grows, the number of employees was more and more. This poses a problem in the calculation and recording payroll. To overcome these problems, we need an appropriate system. The author would like to make a payroll system as a computer-based optimization of computing resources owned and can help finance the activities of employee payroll. By using the proposed system is expected to be more accurate calculation of payroll, time efficient, help to calculation cost of product and also more orderly financial reporting.
Comprehensive Review on Quantum Computation

Quantum theory is without doubt one of the 20th century's best technological accomplishments. It provides a coherent structure on which many existing physical theories may be developed. Other major scientific triumphs of the 20th century and a modern field of quantum computing are brought in after more than 50 years of the beginning date. The quantum theory is coupled with computer science. The key aim of this paper is to research some (potential) Artificial Intelligence (AI), quantum computation applications and to investigate the interplay between quantum theory and AI. A brief perspective and a popular but easy quantum algorithm are given for the writers, who are not acquainted with quantum calculations so that they can appreciate the force of quantum computation. The aim of this paper is two-fold: to give AI researchers a brief introduction and a glimpse of the panorama of quantum computation; and to examine connections between quantum computation, quantum theory and AI.
Teacher’s Ability of English in MI Masyhudiyah Giri Kebomas Gresik: The Initial Method and Technology

Abstract This research is to know the teacher’s ability of English in MI Masyhudiyah Giri Kebomas Gresik: the initial method and technology. It is a qualitative research, through questionnaire, interview and secondary data, teachers’ lesson plan. The researcher uses the theory from (Corbett, 2003), (Brown, 2000) and (Nurwardani, 2018). The finding and discussion, first, the teacher ability of English to inculcate a native speaker like linguistic competence that the teachers never use English as language competence and communicative competence in the opening of teaching and learning process, the communicative competence and the ability to shows lips-reading skill to be imitated by the students and the ability to control the communication gap in the classroom because they do not able to use English, especially speaking skill in the whole teaching and learning process, and prefer to use Bahasa Indonesia. Second, the teachers’ ability of English there will be an interference of English from the first language that the teachers never use the English ability to communicate with children and make imitation pronunciation, combination pronunciation and fluency in English because they do not have the English ability. Third, the teacher ability of English connected to the technology to answer the society need and method that the teachers often and always use the teaching materials, prepare the lesson plan in the beginning semester and have the punctuality submission on lesson plan. The suggestions are to improve teacher ability of English to inculcate a native speaker like linguistic competence and the interference of English from the first language.
PEAB: A pool-based distributed evolutionary algorithm model with buffer

Pool Model is an asynchronous, loosely coupled distributed evolutionary algorithm (dEA) design architecture. However, the classical Pool Model face some design problems, such as population control, work redundancy, rough selection/replacement strategies, and unreliable connections, etc. In this paper, a novel distributed pool evolutionary algorithm (EA) model with buffer (PEAB) is proposed. PEAB can solve the inherent problems of the Pool Model by using the buffer setting, the Reunion mechanism, and the Migration in Pool (MP) strategy. Besides, PEAB provides stronger population control and more global population selection/replacement strategies. In the experimental part, we compared PEAB with another Pool Model named EvoSpace using a common benchmark. The experiments showed that the convergence rate of PEAB is 59.7% faster than that of EvoSpace under the respective fastest conditions. PEAB also has a faster reception rate of the first generation and stronger population control. Besides, this paper also tests and analyzes the scalability of PEAB using two other benchmarks. The overall trend of the experiment results suggested that PEAB would be faster with more Workers. Last but not least, this paper studies the effect of the MP strategy on the performance of PEAB, and the results showed that the MP strategy can effectively improve the convergence efficiency.