Reviewerly/exHarmony huggingface dataset:
The Use of YouTube on EFL speaking classes in newnormal era

The use of YouTube in speaking learning in the new normal era is one ofthe ways to continue the learning process, in the midst of a new era of the normalspread of the COVID 19 virus. For this reason, researchers are interested in conductingresearchof theapplicationon speakinglearningin newnormalera.This research was conduct using qualitative methods with a descriptivequalitative approach. The subjects of this study were 5 semester students andstudents who were studying public speaking class in this new normal era. Whichwere taken by 4 students in each different class. The purpose of this study was todetermine how the application of YouTube in the speaking class in the new normaleraandhowtheirperceptionsoflearningspeakingusingYouTubeare.Datacollectionwas carried out through in-depth interviews and commissioners thenanalyze based on a qualitative approach by Miles and Huberman. thBased on the result of research on the use of YouTube on EFL speakingclasses in new normal era. It can be conclude that YouTube is use as a forum forlecturers to provide material as well as a place for students to get learning materialand a place to collect assignments. Based on the results of research on the applicationofYouTubeonspeakingclassinnewnormalera,itisveryhelpfulforstudentsand alsothelecturerswhenlearningonline.
A Comprehensive Research and Strategy of Transfer Learning for Image Segmentation

With the propose and development of Deep Convolutional Neural Networks, the research on semantic segmentation has made a great breakthrough with the premise that high-quality annotated datasets are provided, and the accuracy of segmentation algorithms can even exceed 80%. But in most practical applications, the datasets of tasks that need to be solved are usually low-quality, few-labeled or even insufficient. In this case, a pre-trained segmentation model under a standard dataset is difficult to achieve good results in practical applications because of the difference between training dataset and actual dataset which is called domain shift or domain gap. Similarly, the raw data obtained from the satellites requires an on-orbit segmentation model to filter out useless information to improve the efficiency of the image and reduce useless satellite transmission comsumption because of its redundancy. In addition to the minimum time and resource cost consumption that must be considered for on-orbit image processing, the domain shift between the irregular satellite raw data and the training dataset of the segmentation model is also an important factor that affects the segmentation performance. In order to solve this problem, a research of transfer learning on the on-orbit segmentation model is needed. In this paper, we make a study of transfer learning method which is commonly used and most advanced in Image Segmentation. We summarize these method and make a analysis and comparison of them. This review is dedicated to provide a complete understanding of the recent advancements in transfer-learning-based Image Segmentation for other researchers to make deeper research. Finally, we present a tranfer strategy that can be applied to satellite’s on-orbit segmentation model.
Data-as-a-Service versus Information-as-a-Service: Critical Differences in Theory, Implementation, and Applicability of Two Growing Cloud Services

By exponential increase of data produced and processed in all industries, data-oriented services are having increasing importance and popularity. Companies are seeking for services related to administration of data, data analysis, preparation of insights, especially when is coming to Big Data. Additionally, to enrich their own data sets are available external data providers. In this chapter, we focus on detailed understanding of both Data-as-a-Service and Information as a service on cloud. As the importance of cloud computing and Big Data continues to rise, service providers, business leaders, consumers, and researchers alike need a clear understanding of these two concepts to be able to distinguish between them. This paper seeks to find a clear definition and specification for DaaS, IaaS, as well as contrast the two concepts, highlighting which service is better in which situation for what kind of company.
DSCE: Comparative Analysis of Heuristic Computational Techniques

A frequency-selective fast-fading channel degrades the performance of a signal as it introduces inter-symbol interference (ISI) and inter-carrier interference (ICI). Equalization is the process of eliminating ISI and ICI by adaptively updating the tap weights of the FIR filter. The work presented utilizes various heuristic computational techniques (HCTs) to adaptively update the weights for doubly selective channel equalization (DSCE). Various HCTs are also compared, including genetic algorithms (GAs), particle swarm optimization (PSO), differential evolution (DE), cat swarm optimization (CSO), bee colony optimization (BCO), hybrid GA-PSO (HGP), and the cuckoo search algorithm (CSA). Extensive simulations were performed in MATLAB, and the simulation results show that PSO outperforms the other HCTs in terms of computational time complexity and FoM.
Evolving Data Monitoring Algorithm based on Data Stream Clustering

Abstract Clustering is one of the most important methods in the data stream mining. The nature of evolving data streams puts forward the following requirements for clustering: discovery of clusters with arbitrary shape, determination of the optimal number of clusters, anomaly detection and processing the influence of time. In the communication process, timely detection of anomalies is very important for the coordination of various devices. In this paper, we propose an adaptive density-based approach for clustering in evolving data streams(SagsDStream), which automatically updates parameters in subsequent stages based on the offline clustering result, so that the parameters can adapt to the change of data stream. In the online mode, the judging rules are saved in Improved Time Cluster Feature (ITCF). In the offline model, we use the density of the data distribution and the cluster distance to set the parameters of clustering algorithm, which overcome the sensitivity of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) threshold setting. Experimental results show that SagsDStream has better processing efficiency and clustering effect when dealing with data streams.
Prediction of E-Commerce Product Ratings Based on Similar Users

Together with the fast advancement of continuous expansion and the Internet of E-commerce scope, product quantity, as well as assortment, boost fast. Merchants offer many goods via going shopping customers and websites generally consider a huge amount of moment to discover the products of theirs.Within e-commerce sites, the item rating is among the primary key ingredients of an excellent pc user expertise. Many methods are working with whose users to consider the goods they wish. A comparable item suggestion is among the favorite modes working with whose customers look for items in line with the item scores. In general, the suggestions aren't personalized to a particular pc user. Exploring a great deal of solutions tends to make customers runoff as a result of the info clog but not offering proper reviews for solutions.Traditional algorithms has data sparsity and cold start issues. To overcome these problems we use cosine similarity method to identify the similarity between those vectors. The nearest similar vector ratings will be used during the estimation of the unknown ratings.The proposed methodology records ratings of each product from users and those are represented by a vector, and the cosine similarity is used a measure to identify the similarity between those vectors. The nearest similar vector ratings will be used during the estimation of the unknown ratings.Hence, By using the above approach it can overcome the above problems and also it can achieve high efficiency and accuracy in a simple manner.
Developing reflective competence of university students through network volunteering

The article describes the facilities of volunteering for students in social pedagogy and medicine during their professional training. Theoretical and methodological basis for developing students’ reflective competence, facilities for modeling it and implementing it at university through volunteering are considered. Successful development of reflective competence of students is viewed through volunteering and based on mastering the ways of social and professional behavior and new social roles. It is implemented in uneven-aged groups and depends on conscious choice of contents, forms, methods and means of training at university. That is what constitutes the concept of the research. The aim of the study is to develop, substantiate and implement theoretical and conceptual grounds for developing reflective competence of students in pedagogy and medicine at university through volunteering. The research experimentally proved the important role of volunteering in developing reflective competence of future specialists at university. It showed the correlation of characteristics of educational space at university and facilities for transferring effective reflective practices to volunteering. The results of the research indicate that developing reflective competence of future specialists through volunteering is a long process which should be specially organized. The aim of improving student’s reflective competence is personal and professional self-development. Based on the studied scientific literature, the authors revealed the characteristics of volunteering as a social and pedagogical phenomenon which had a positive influence on social and professional development of students.
Dream

opinion Share on Dream: mixed reality technologies for live performance Authors: Lara Houston University of Sussex University of SussexView Profile , Marshmallow Laser Feast View Profile Authors Info & Claims InteractionsVolume 28Issue 4July - August 2021 pp 10–13https://doi.org/10.1145/3469883Online:30 June 2021Publication History 0citation505DownloadsMetricsTotal Citations0Total Downloads505Last 12 Months306Last 6 weeks18 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Statistical physics and statistical inference

A major challenge of contemporary statistical inference is the large-scale limit, where one wants to discover the values of many hidden parameters, using large amount of data. In recent years, ideas from statistical physics of disordered systems have helped to develop new algorithms for important inference problems, ranging from community detection to compressed sensing, machine learning (notably neural networks), tomography and generalized linear regression. The talk will review these developments and explain how they can be used, to develop new types of algorithms and identify phase transitions.
Research on the construction of English teaching platform under the background of big data

The development of information technology provides a new development direction and mode for college education and teaching. The application of big data not only changes the traditional college education and teaching mode, but also provides more opportunities for resource sharing. The construction of college English teaching platform can break through the limitation of time and space in traditional English teaching and provide a broader space for English teaching. This paper will conduct an in-depth study on the construction of English teaching platform under the background of big data, and explore the mode and existing problems of the construction of English teaching platform under the background of big data through the combination of theory and practice.
MENTORING AS A FORM OF TEACHING ACTIVITY IN THE NEW DIGITAL EDUCATIONAL ENVIRONMENT

The article reveals the essential features of mentoring as a special type of pedagogical activity based on the concept of constructivism applying comparative analysis of individual legal acts in the field of education, as well as a thorough study of the Russian and foreign scientific literature. The author determines essential characteristics of this activity in the training process and the peculiarities of the mentor and mentee relationships. The article shows a significant difference between mentoring and coaching in the Russian educational process.
DI Library: About the DI Library: Borrowing Policies

Hours, contact information, policies, and services of the DI Library Information about who can borrow DI Library materials
LibGuides: Lima Primary Library: Teacher Resources

Information about Lima Primary Library resources, databases, useful websites, and educational games.
Cultivation of Innovative Talents and Construction of Innovative Teachers in Colleges and Universities

The cultivation of innovative talents is inseparable from the higher education innovation. At the beginning of the 21st century, the outline of education program approved by the Ministry of Education pointed out that the talents cultivation is the central work of colleges and universities and the fundamental task of colleges and universities is to cultivate professional and innovative talents with firm faith, rich knowledge, excellent moral character, high quality and excellent skills. In order to obtain long-term development opportunities and seek future development advantages, world powers are stepping up efforts to give priority to the implementation of innovative talent development strategy. Compared with western countries, the problems in cultivating innovative talents in domestic universities need to be solved by improving the teaching level of higher education teachers. As an important force leading innovative education, innovative teachers are the key factor in training innovative talents.
ДИДАКТИЧЕСКИЕ ПРИНЦИПЫ ПРИМЕНЕНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ ОБУЧЕНИЯ В ШКОЛЕ

The solution to the problem of the effective use of modern information technologies in the educational process of a comprehensive school leads to the need to select didactic principles and their justification. The purpose of the study is to identify and justify the didactic principles of the use of information technology in education. As a result of research and theoretical analysis of the literature on the research problem, analysis of the best pedagogical practices, the content of didactic principles was revised and supplemented, which can be constructively used in any case, without replacing them with new ones. Thus, in this paper, the basic didactic principles for the use of information technology in education are identified. And also the essence of the content of the principles related to the didactic system and implemented in the educational process is disclosed.
Development of mobile communication networks: Hopes and problems

One of the serious problems accompanying the development of mobile communications is considered – the effect of electromagnetic radiation on living organisms, including humans.
Information transfer by quantum matterwave modulation

Author(s): Ropke, Robin; Kerker, Nicole; Stibor, Alexander | Abstract: Classical communication schemes that exploit wave modulation are the basis of the information era. The transfer of information based on the quantum properties of photons revolutionized these modern communication techniques. Here we demonstrate that also matterwaves can be applied for information transfer and that their quantum nature provides a high level of security. Our technique allows transmitting a message by a non-trivial modulation of an electron matterwave in a biprism interferometer. The data is encoded by a Wien filter introducing a longitudinal shift between separated matterwave packets. The transmission receiver is a delay line detector performing a dynamic contrast analysis of the fringe pattern. Our method relies on the Aharonov-Bohm effect and has no light optical analog since it does not shift the phase of the electron interference. A passive eavesdropping attack will cause decoherence and terminating the data transfer. This is demonstrated by introducing a semiconducting surface that disturbs the quantum state by Coulomb interaction and reduces the contrast. We also present a key distribution protocol based on the quantum nature of the matterwaves that can reveal active eavesdropping.
Towards finding the shortest-paths for 3D rigid bodies

In this work, we analyze and present an algorithm to find shortest-paths for generic rigid bodies.We derived the necessary conditions for optimality using Lagrange multipliers, and compared it to the conditions derived from Pontraygin's Maximum Principle.We derived the equations of the necessary conditions using geometric Jacobian, drawing inspiration from the similarity between the rigid-body systems and the arm-like systems.In the previous work [30], the analysis focused on finding shortest-paths to reach goals in positions only.This work extends the analysis to find the shortest-path to reach a goal with complete configuration in 3D.We show that the algorithm is resolution complete even when the orientations are included.To overcome the complexity of 3D orientations, we describe the system using three points in the robot frame, and show that this parameter system is redundant but can derive the same necessary conditions as those derived using the minimum parameters (configuration).We used a 3D Dubins system to demonstrate the correctness of the analysis and the algorithm.
Smart glove for translating sign gestures to text

Normally speech-disabled people use sign gestures to communicate with another person but for a normal person, it’s very hard to understand sign language. So, our aim is to develop a device capable of translating sign language in order to make it easy for disabled people to communicate with the general public. For this, a smart hand gesture recognition system is proposed to reduce the communication gap between disabled and normal people (Hubbell 2014). The system is in the form of a glove, which consists of five flex sensors, one for each finger and a 3-axis accelerometer, on the back of the palm, connected to an Arduino MEGA device. Flex sensors measure the bend of each finger and the accelerometer measures the slope of the palm. Data from these sensors is for each gesture collected to create a dataset (Deller et al. 2006). The system is based on American Sign Language. Machine Learning Algorithms train over these datasets to predict what gesture the user is making. The goal of this smart system is to minimize the communication gap and make day to day communication for disabled easy.
Penerapan Model Pembelajaran Kooperatif Tipe Make a Match untuk Meningkatkan Prestasi Belajar Siswa Kelas III A SDN 38 Kota Bengkulu

This study aims to improve student learning achievement in Thematic learning class III A SDN 38 Bengkulu City by applying the Cooperative learning model type Make a Match. The subjects of the study were students of class III A SDN 38 Bengkulu City. The research instruments were observation sheets and test sheets. The observation data analysis technique used the formula of average score, highest score, lowest score, difference in score, and range of values for each criterion. Test data were analyzed using the formula of the average value and the percentage of classical learning completeness. Thus the application of the Make a Match type Cooperative learning model can improve student learning achievement in Thematic learning class III A SDN 38 Bengkulu City
THE CONCEPT OF MUSICAL THINKING AND ITS STAGES OF DEVELOPMENT

The article examines the concept of musical thinking and the impact of music science on the human mind, the scope of scientific discoveries, the inspiration, and the ability to lead the listener to noble goals.
The 2020 Low-Power Computer Vision Challenge

AI computer vision has advanced significantly in recent years. IoT and edge computing devices such as mobile phones have become the primary computing platform for many end users. Mobile devices such as robots and drones that rely on batteries demand for energy efficient computation. Since 2015, the IEEE Annual International Low-Power Computer Vision Challenge (LPCVC) was held to identify energy-efficient AI and computer vision solutions. The 2020 LPCVC includes three challenge tracks: (1) PyTorch UAV Video Track, (2) FPGA Image Track, and (3) On-device Visual Intelligence Competition (OVIC) Tenforflow Track. This paper summarizes the 2020 winning solutions from the three tracks of LPCVC competitions. Methods and future directions for energy-efficient AI and computer vision research are discussed.
Kinerja Jaringan Irigasi Tingkat Tersier untuk Wilayah Pertanian Daerah Irigasi Kenconorejo UPTD-P2PU Wilayah II Subah

Irrigation is an important factor in the world of agriculture, Batang Regency is one of the regencies where the majority of the population is farmers. There are several sources or uses of water in agricultural irrigation, including by making a weir or dam. Batang Regency has several technical weirs including the Kenconorejo weir. Kenconorejo Weir Building has several complementary buildings including the weir lighthouse, weir drain door, intake gate, drainage gate and tertiary channel. The tertiary network of the Kenconorejo Irrigation Area has a total length of 8,050 m and a total agricultural area of 712 ha. With quite a long tertiary channel in the tertiary network of the Kenconorejo Irrigation Area, some of the tertiary buildings were damaged, including in the Jrakahpayung Village and Karanggeneng Villages. The results of the calculation of the discharge of tertiary channels in Kenconorejo are obtained, Jrakahpayung Village 36 l/sec with a land area of 18 ha, Kedungsegog 320 l/sec with a land area of 210 ha, Kenconorejo1 212 l / sec with an area of 150 ha, Kenconorejo2 260 l/sec with an area of 148 ha, Ponowareng Village 185 l / sec with an area of 120 ha, and the last is Karanggeneng Village with a total discharge of 94 l / sec and an area of 66 ha. And with the existence of several damaged small complementary buildings, this is of course homework for the PSDA Office which has the authority to manage irrigation systems in a government agency.
Geographic Information System of College at Banyumas Regency Based on Android

Banyumas Regency is a student city in Central Java which has 21 tertiary institutions, consisting of state and private tertiary institutions, spread throughout the Banyumas region. With so many PTs available, it is often difficult for prospective students from out of town to get locations, so by building an Android-based Geographic Information System for Banyumas Higher Education Institutions that is built to help and facilitate the community or prospective students. With the prototype method with steps (communication, planning, modeling, prototype formation, and evaluation). The scope of the system includes the GPS assistance facilities. The main menu contained in the application of PTN and PTS about the brief description of information about tertiary institutions, facility menus from the ATM, gas station and hospital sub menus, emergency call menus containing important telephone numbers such as the police and fire department , and help menu how to use the application. Conclusions The study states that HI was accepted, namely There is a significant time difference in the process of finding the location of tertiary institutions before and after using the Geographic Information System for Higher Education in Banyumas Regency on Android. Then based on the results of product tests that have been done show that the product test value to determine the quality of the system being built is 96.85, the value is greater than the feasibility limit of 75. Thus, the system built is suitable for use by the wider community.