Reviewerly/exHarmony huggingface dataset:
Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System

Wearable devices and sensors are becoming more readily available to the general public and athletic teams .Technology advances have allowed individual athletes, sport teams, and clinicians to monitor functional activities, workloads, and biometric parameters to optimize performance and mitigate injury.The aim of this paper is to present an automatic monitoring system for the athlete player using open -source hardware platforms, Node MCU ESP32, Raspberry pi and sensors to measure heart rate, temperature, and rotary encoder sensor with router Wi-Fi and Message Queuing Telemetry(MQTT) protocol to store data in the database.The system is low-cost and more expandable in terms of sensors type and number of sensor nodes, which makes it suitable to measure the performance of athletes where coaches were able to obtain data on a scale for efficiency of the athlete and weaknesses to overcome them.
PROJECT METHOD AS A MEANS OF ACTIVATING STUDENTS 'Cognitive ACTIVITIES

The article analyzes the directions of using project technologies for activation of students' cognitive activity. The principles of application of project technologies as an effective complement to other pedagogical technologies that contribute to the development of the student's personality as a subject of activity and social relations are considered. The list of students' personal development skills in the process of project activity and the basic requirements for the use of project-based learning technologies are given. The system of actions of the teacher and students at different stages of project work and the skills required in the conditions of updating the educational process of the modern higher education are given. It is established that the use of project technologies in the practice of higher education will allow to form the competences of students, which allow to determine the student's readiness for life, his further personal development and for active participation in the life of society. The basic principle of the project method is that the starting point of learning should be the student interests of today. The article also examines a retrospective analysis of the formation and development of project technology of teaching in foreign pedagogy of the XX century, which made it possible to draw conclusions about the tendency of its development and essential characteristics. It is concluded that project technology is an important tool for problematic learning and is a reflection of the research method of teaching, the project method is one of innovative pedagogical technologies that meets the requirements of the National Doctrine of Educational Development on the transition to a new type of humanistic-innovative education, when attention is transferred to the process gaining students knowledge, skills, life experiences that transform into competencies
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis

Conditioning analysis uncovers the landscape of an optimization objective by exploring the spectrum of its curvature matrix. This has been well explored theoretically for linear models. We extend this analysis to deep neural networks (DNNs) in order to investigate their learning dynamics. To this end, we propose layer-wise conditioning analysis, which explores the optimization landscape with respect to each layer independently. Such an analysis is theoretically supported under mild assumptions that approximately hold in practice. Based on our analysis, we show that batch normalization (BN) can stabilize the training, but sometimes result in the false impression of a local minimum, which has detrimental effects on the learning. Besides, we experimentally observe that BN can improve the layer-wise conditioning of the optimization problem. Finally, we find that the last linear layer of a very deep residual network displays ill-conditioned behavior. We solve this problem by only adding one BN layer before the last linear layer, which achieves improved performance over the original and pre-activation residual networks.
Sergei Eisenstein’s Ideas in the Context of Contemporary Cinema. Stereo Film and Stereo Sound

The text (continuation of the article Vestnik VGIK, No. 3 (41), 2019). deals with the ideas of S.M. Eisenstein, presented by him in the theoretical work On Stereoscopic Films, in the context of the subsequent development of cinema phonography and modern scientific and theoretical discussions on the problems of correlation of technological and aesthetic aspects of cinema art. Eisensteins article focuses on and analyzes new and controversial technical achievements of cinema, but the authors thoughts reach a high level of understanding the history and prospects of the development of cinema and art in general as an expression of the organic human need for creative and artistic activity. Turning to the history of the theater as the forerunner of cinema, Eisenstein emphasizes the moment of separation of the actor and stage action from the audience. The director sees the technical possibilities of stereo cinema as a way of returning the viewer to the space of direct co-action, complete immersion in the artistic space, integration with the artistic image. Modern multichannel sound technologies have come close to fulfilling Eisensteins dream of drawing the viewer into the screen space and merging it with the artistic creation. But when and to what extent is the use of stereo effects justified, how do the technological and artistic aspects of film production correlate These are issues that are currently the subject of theoretical discourse in the framework of not only film studies, but also interdisciplinary knowledge, affect the development of audiovisual concepts in the practice of filmmaking.
Smart and Robust Speaker Recognition for Context-Aware Applications

The importance of robust voice recognition has rapidly increased in latest years, as the numbers of applications and devices are increasing. This effect is strongly related to the Internet of Things framework, where these concepts are widely used in smart and under developing cities.In Computer Science, Context Awareness refers to the idea that devices and computer connected can both sense and react based on their environment. The use of this system can play a vital role in distinguishing between actual user and normal user so that it can customise the services. Driven by this motivation, in this paper we present a speaker recognition system design to get efficient output in challenging and robust conditions. We proposed this system by embedding a smart pre-processing method based on the features of voice which can efficiently extract features of the voice and detect the user by feature matching by using Gaussian Mixture Model algorithm. Moreover, it can reduce the influence of noise and other factors affecting the classification. Results shown that this system can improve the classification rate for detecting the actual user even in the case of noisy environment.
Optimization of Products Transportation and Distribution Network

This research work focuses on the problem of transportation and distribution of products by a manufacturing company.The aim of the study is to determine the least cost of transportation and distribution of products by a firm.A popular brand in the food and beverage industry in Nigeria was selected for a case study.Two of it plants in the southern part of the country were investigated.Distribution centres located at Umuahia, Awka and Asaba are the destinations.Data of the supply from the two plants to the three centres, demand per period from each of the destinations and the cost of transportation from plant to each destination were obtained from the data base of the company.The analysis of the data using Vogel's linear programming model reveals a total savings of Nine million, seven hundred and sixty one thousand, nine hundred and eighty-five naira ( # 9,761,985.00).The research shows that Vogel's approximation method is effective in solving practical products transportation and distribution problems.
MAİN DİRECTİONS OF CREATİON OF ELECTRONİC CATALOGUES İN LBRARİES İN THE INFORMATİON SOCİETY

The article analyzes the state and directions of the organization of electronic catalysts in the system of libraries, and shows the scientific-theoretical basis and methodology for the creation of electronic catalogues. The article also focuses on improving the efficiency of library services, the directions and principles of its improvement, and the optimal use of modern catalogue was noted. The article comparatively analyzes the methods used in the world practice and shows the methodological basis for the application of the innovations. In addition, at the modern era it outlines the automation of libraries, the creation of electronic catalogues, and in general problems of cataloguing, the role of libraries in providing access to documentary and database users who have access to various libraries around the world and in the country. The author concludes that the work done on the organization of electronic catalogues in our country contributes to the effective organization of the inquiry-information the process in the libraries of the Republic, accelerates access to the most valuable documents and facilitates world integration.
PENERAPAN METODE CERTAINTY FACTOR DALAM PENGAMBILAN KEPUTUSAN DIAGNOSA KERUSAKAN SEPEDA MOTOR

In decision support system or also known as DSS (Decision Support System) is very diverse one of which is Expert System to be applied its use in computer devices. in making decisions giving information about various automotive problems, especially the problem of motorcycle damage.The decision-making method used is forward and Certainty factor is used to handle uncertainty in decision making of motorcycle damage.With facilities provided to users and administrators, it allows both users and administrators to use this system according to their individual needs.Users are provided with ease in knowing various kinds of damage to the machine with the cause of the interference.
TONE TEACHING PLAN DESIGNED FOR INDONESIAN CHINESE BEGINNERS

Chinese is a tonal language, and Chinese tones can differentiate meanings of Chinese characters. In contrast, Indonesian is a language without tones, which explains why Indonesians have trouble acquiring tones when beginning to learn Chinese. Having recognized the importance of Chinese tones in teaching Indonesian beginners Chinese, we propose in this article a tone teaching plan designed for Indonesian Chinese beginners based on detailed analysis of previous research. The plan was tested at the Pahoa School in Tangerang District, Jakarta, Indonesia. The participants were 74 middle school students who had never learnt Chinese before. After the experiment, the questionnaires were used to collect data. It was found that this teaching plan was effective. In terms of mono-syllable adjustment, most students can make four tones of Chinese, especially rising tones and falling-rising tones; In terms of bisyllable tone sandhi, most students can master the law of tone change. However, this teaching plan also has some shortcomings. For example, the forms of tone teaching and training are not diversified; the design of the neutral tones teaching is not comprehensive enough; and the distribution of tone teaching items is uneven. These drawbacks can be further improved in future research.
Re‐detection object tracking algorithm in the cyber physical system

Cyber physical system (CPS) is a complex system combining computation, network and physics; object tracking is an important application of CPS. To solve the problem that the traditional kernel correlation filtering tracking algorithm cannot recover the lost object, the authors propose a re-detection object tracking algorithm. The proposed algorithm mainly designs a new adaptive detection criterion. By comparing the value of detection criterion and the value of the experience threshold, it can be judged whether the current target is lost or not. When the object tracking fails, the proposed method can generate target candidate boxes by using the edge boxes algorithm and select the best target location by applying the non-maximum suppression and the Euclidean metric methods. In addition, a fast multi-scale estimation method and an adaptive updating method are added to the tracking procedure to further improve the overall performance of the algorithm. Experimental results show that the proposed approach has a good performance in terms of precision and success rates.
Improving intelligibility of synthesized speech in noise with emphasized prosody

The performance of current high quality concatenative text-to-speech (TTS) systems is limited under noisy environments.This paper investigates whether or not the intelligibility of synthesized speech in noise can be improved by emphasizing the prosody.Additionally, the paper presents a method that can effectively emphasize the prosody of units in existing TTS databases.The circular linear prediction (CLP) model is combined with the constant-pitch transform (CPT) to perform pitch and duration modifications to concatenative TTS units with little impact to the subjective quality.Test utterances are generated using the method and compared to reference utterances synthesized by a high quality TTS engine.The subjective test results demonstrate a preference for emphasized prosody in the majority of the test cases.
IMPROVING DESCRIPTIVE WRITING SKILL THROUGH CONTEXTUAL APPROACH IN 4 GRADERS OF ELEMENTARY SCHOOL OF 1 PADAAN

The success of teaching and learning process is largely determined by students’ ability to write. However, most teachers still apply inappropriate teaching method, so this is important to find a new innovations in teaching. One of them is through contextual approach. This study aims to find out whether contextual approach can improve the 4th graders’ descriptive writing skills or not. This is a classroom action research in the form of collaboration between researchers and class teachers. the data source used was information data from the people as participants. They are 4th graders teacher, students' daily test scores, observations of the learning process using contextual approach, and other information about the school and its history. To test the validity of the data the writer uses triangulation. The analysis technique used is data reduction, data presentation, and drawing conclusions. The result of the study shows that the contextual approach can improve 4th graders descriptive writing skills of SDN 01 Padaan, Japah, Blora in the academic year of 2019/2020.Keywords: descriptive writing, contextual approach
A new neural-network-based model for measuring the strength of a pseudorandom binary sequence

Maximum order complexity is an important tool for measuring the nonlinearity of a pseudorandom sequence.There is a lack of tools for predicting the strength of a pseudorandom binary sequence in an effective and efficient manner.To this end, this paper proposes a neural network (NN) based model for measuring the strength of a pseudorandom binary sequence.Using the shrinking generator (SG) keystream as pseudorandom binary sequences and then calculating the unique window size (UWS) as a representation of maximum order complexity, we can demonstrate that the proposed model provides more accurate and efficient measurements than the classical method for predicting maximum order complexity.By using UWS, which is a method of pseudorandomness measurement, we can identify with higher accuracy the level of pseudorandomness of given binary sequences.As there are different randomness tests and predicting methods, we present a prediction model that has high accuracy in comparison with current methods.This method can be used to evaluate the ciphers' pseudorandom number generator (PRNG) and can also be used to evaluate the internal components by investigating their binary output sequence pseudorandomness.Our aim is to provide an application for NN pseudorandomness and in cryptanalysis in general, as well as demonstrating the models' mathematical description and implementations.Therefore, applying NN models to predict UWS utilizes two layers of pseudorandomness testing of binary sequences and is an essential cryptanalysis tool that can be extended to other fields such as pattern recognition.
On the buildup of an integrated database for the formal description of grammars for the hearers

Grammars for the hearers often significantly differ from those for the readers as traditional orthographic notation of wordforms is unable to fully represent the actual expression of the morphological categories and, consequently, the real composition of the paradigms.As a first step for the construction of a grammar for the hearers, one needs a database containing the information on the spoken (phonological) expression of the morphological units.At present the part of the database with the information on Russian nouns is completed.The subjects in the database are Russian noun forms of different declensions and accent paradigms expressing all the types of the stem endings that are able to shape the actual spoken realization of a form.
Evaluation and Comparison of Cross-lingual Text Processing Pipelines

With the trend of globalization and digitalization, many transnational companies are continuously collecting and storing unstructured text data in different languages. To exploit the business value of such high-volume multilingual text data, cross-lingual information extraction utilizes machine translation and other natural language processing (NLP) techniques to analyze this data. However, results of these analysis heavily depend on the order in which the tasks are performed as well as the used machine translation and NLP approaches or trained models. In this paper, we defined and evaluated a series of cross-lingual text processing pipelines for English and Chinese language. We therefore combine multiple commercial machine translation services with different automatic keyphrase extraction and named entity recognition techniques and evaluate their performance with regards to the order of execution. Hence, we evaluate the combination of machine translation systems and natural language processing techniques with two processing sequences in our experiment. One is to translate the document before extracting keyphrase and named entities. The other is to translate the processing results. The experiment outcomes indicate that translating documents is a better choice than the other way around in both tasks. However, there exists a substantial disparity between the performance of the cross-lingual text processing pipelines and the corresponding monolingual references.
MEDIA LITERASI ALTERNATIF: STUDI KASUS PADA TEENLIT DI POSTINGAN INSTAGRAM AKUN “SASTRAARABCOM”

The purpose of this research is to find teenlit in the Instagram account of Sastraarabcom which can be used as a medium to improve literacy culture among adolescents. to improve the literature faced by adolescents, writers must use various approaches, such as writing things they like, discussions, simulations, questions and answers and the like. Such a contextual approach is a key element in increasing adolescent learning interest. The results showed that teenlit Sastraarabcom can improve and become an alternative media in increasing teenage literacy, not only being able to read but can understand the contents of reading, with the hope of moral messages such as peace, social care, social values, mutual cooperation, values moral, and mutual respect between friends will be reflected in the actions of future adolescent behavior.
The Way We Think About Data

The two papers I’ve chosen for this issue of acmqueue both challenge the way we think about and use data, though in very different ways. In "Stop Explaining Black-box Machine-learning Models for High-stakes Decisions and Use Interpretable Models Instead," Cynthia Rudin makes the case for models that can be inspected and interpreted by human experts. The second paper, "Local-first Software: You Own Your Data, in Spite of the Cloud," describes how to retain sovereignty over your data.
Practical Application of Robotics Competition for STEM Education

As robots become an increasingly integral part of our society, the study of robotics has a great potential to influence Science, Technology, Engineering and Mathematics (STEM) education.Robotics is a multidisciplinary field and requires an organic integration of resources and optimized operation for its impact to be maximized.This paper presents the practice and significance of using a robotic submarine competition (Robosub competition) to improve the engineering education of STEM majors at California State University, Los Angeles (CSULA).The competition requires students to design and build a submarine robot to autonomously navigate through a series of tasks that mimic ongoing research in robotic systems.First, the organization of this program at CSULA is introduced, including the involvement of faculty advisors, a student organization, and senior design teams.Second, the integration of this program into students' curricular and extracurricular activities are discussed.Many design tasks can be used strengthen a variety of courses throughout almost all engineering and computer science disciplines.Aside from that, student participants obtain many core skills that are critically important for them to be successful in their future careers.These skills include major related technical skills and beyond, such as communication, leadership, management, and cooperation skills.Third, the impact of the competition among student participants, the engineering program, and the institution are summarized.Although this program has only been established for about two and a half years at CSULA, many positive results in improving college engineering education have been achieved.Finally, discussion of the existing challenges to maintain the program long-term and possible future solutions are presented.