Reviewerly/exHarmony huggingface dataset:
PENGARUH TERPAAN TAYANGAN REVIEW OTOMOTIF DI YOUTUBE TERHADAP PEMENUHAN KEBUTUHAN INFORMASI OTOMOTIF (Analisa Pemenuhan Kebutuhan Informasi Otomotif Subcribers Autonetmagz Pada Video Komparasi 4 SUV)

Automotive Review Channel Autonetmagz is a video-based content service available on Youtube social media and can be accessed via http: /youtube.com. Automotive Review Channel Autonetmagz aims to provide information about the advantages and disadvantages of a car technology, especially modern cars that exist in the Indonesian market today. Not only the car market in Indonesia, sometimes Reviewers from the Autonetmagz provide facilities to explore Japan to see the museum history of Sakura State's production car that will later Inform the details of the advantages and disadvantages to the audience through Automobile Channel Autonetmagz Review. In addition to watching, Subcribers can also comment on the comments field if you want to ask Autonetmagz to review the car in the desired by the audience. The formulation of the problem in this study is how much influence the exposure of impressions Automotive Channel Autonetmagz Review Against Automotive Needs Information Needs Subcribers. Data analysis technique used in this research is quantitative with simple linear regression method. The population was taken from the number of Subcribers on the Autonetmagz Channel Automotive Review channel, totaling 46,971,381 Subcribers with a sample of 100 respondents. The independent variable is Impression Automotive Review Review Autonetmagz Channel consisting of three sub variables namely frequency, duration, attention. The dependent variable is Automotive Meter Requirement Information Requirement Subcribers Autonetmagz. The data collection is done by spreading the draft of the online questionnaire to Automotive Autometzagz Automotive Channel Subcribers Review. By using simple linear regression method, the result of calculation on the fulfillment of information needs after getting exposure of information is in good category, it means that there can be a significant influence from the exposure of information to the fulfillment of information needs.
Automatic Mixed Reality holographic generator approach with multi-modality support on HoloLens

Poster: ECR 2020 / C-15199 / Automatic Mixed Reality holographic generator approach with multi-modality support on HoloLens  by:  L. Kownacki 1, M. J. Stanuch2, D. Piotrowska-Kownacka1, A. A. Zlahoda-Huzior2, M. Kierepka2, K. Blachnio3, K. Janc2, M. Kurzyna3, S. Darocha3; 1WARSAW/PL, 2Cracow/PL, 3Otwock/PL
Analisis Sistem Informasi Akademik Online (SIAO) Terhadap Kepuasan Mahasiswa Politeknik Negeri Balikpapan Menggunakan Framework CSI

The purpose of this study was to analyze the level of satisfaction of Balikpapan State Polytechnic students with the use of the Online Academic Information System (SIAO). Respondents consisted of 30 active students of Balikpapan State Polytechnic class of 2017 and 2018 who came from the Heavy Equipment Engineering, Civil Engineering, Electronics Engineering, Catering, Chamber and Banking Division. To measure the quality of SIAO, the WEBQUAL model is used which consists of three statement indicators, namely Usability, Information Quality, and Interaction Quality. The analytical method used is the Customer Satisfaction Index (CSI). The Customer Satisfaction Index (CSI) analysis method includes a criterion value that measures the level of customer satisfaction (students) based on a Likert scale of interest level and a Likert scale for the level of performance. The results of the study showed that the 2017 and 2018 Poltekba students were very satisfied with the Online Academic Information System Service (SIAO). This can be seen from testing using the Customer Satisfaction Index (CSI) method with a value of 76.49% in the satisfied category.
Symmetric Monoidal Categories with Attributes.

When designing plans in engineering, it is often necessary to consider attributes associated to objects, e.g. the location of a robot. Our aim in this paper is to incorporate attributes into existing categorical formalisms for planning, namely those based on monoidal categories and string diagrams. To accomplish this, we define a notion of a symmetric monoidal category with attributes. This is a monoidal category in which objects are equipped with retrievable information and where the interactions between objects and information are governed by an attribute structure. We discuss examples and semantics of such categories in the context of robotics to illustrate our definition.
Akurasi dalam Identifikasi Penyakit Sapi Pesisir Menggunakan Metode Forward Chaining

Coastal cattle are livestock that have economic value, such as selling beef and cattle breeds. Cow disease can cause the quality of its sales to decrease. This study aims to help cattle breeders to determine the type of cow disease, from the symptoms that exist in these cows. So that the prevention of the risk of cow disease can be avoided. All data used are sourced from experts. In determining the type of disease in cows, the Forward Chaining method is used. The fact-finding technique is then put into the predetermined rules to get a conclusion. Making a website based expert system makes it easy for breeders to access it online. The accuracy of the system has been tested by related parties so as to produce fast and efficient information. From research, it can help breeders in diagnosing the symptoms experienced by cows and the test results can detect the type of disease accurately.
Vocational Education Practitioners Learning to Write Reflective Journal through Reflections on their Experiences during theCovid-19 Pandemic

In the vocational education context, typical teaching and learning patterns are getting obsolete, and new innovative methods are being adopted to make the learning process more effective.Among improved methods, reflective practices and reflective journal writing are being adopted frequently for continuous improvement.The practice of reflective journal writing has the potential to change the dynamics of vocational education.Six different types of reflective journal writing are observed and discussed in this research study with the aim to explore the participants' preferences for a certain type of journal writing in addition to their reflections on teaching experiences during the Covid-19 Pandemic.The participants view reflective practices and reflective journal writing to be major breakthroughs for improving teachers' self-efficacy as well as for enhancing their roles for the better quality of vocational training delivery.It is argued that the expected benefits of encouraging the culture for writing reflective journals do not only benefit the journal writers, but it can be very useful in providing an agenda for the organization for its continuous improvement.
Improving Memory Exploitation in M-health Applications through Context-Aware System

INTRODUCTION:The mobile application requires some information about its environment in order to the adaptation of its behaviour according to this information in a transparent manner.However, such a task usually needs the resource consumption of mobile devices.OBJECTIVES: the main goal of this work was the design of the context aware infrastructure for the healthcare applications embedded on mobile devices.This last aims to the integration of the context awareness into the execution environment and providing a adequate methodology of the generic context manager, with the maintenance of low level the resource consumption.METHODS: This collected the context information (medical data) thanks to the component (Context Element Monitor).When the components set acquire values of different elements context which belong the same class, these components run in the same time.it is mean the execution of its in a group way.From the state of monitors (ACTIVE or DISABLED), our system creates the new context situation.The mobile application is structurally an assembly of services.The adaptation methodology revolves around the execution manager of services according to the new created context situation.This approach ensures the best use of resources depending on the characterization of context and reduces the amount of contextual information in the adaptation processes.RESULTS: We evaluated a memory space in three cases, since it is the most resource that is affected in the field of the mobile health (mobile patient monitoring application).For this, we estimated the consumed memory at two levels: the first is the management module "Context Manager" and the second level considers the adaptation procedure.In the Context Manager, the first and the third case were the exploited memory space was almost identical, Knowing that its consumption is varied between 1556 and 2026 KB.But in the second case, it increased and become varying between 2424 and 6848 KB. the other hand, in the adaptation mechanism, it is necessary a huge space of a memory for managing services more than 40000 kb.CONCLUSION: Our own approach of context manager and adaptation can open the new way in the m-health applications development.This allows these applications that can exploit the great quantity and the different type of a medical data with the best use of the memory space.
THE REALIZATION OF THE TECHNOLOGY "PEDAGOGICAL PARTNERSHIPS OF PRE-SCHOOL AND PRIMARY STAGES OF EDUCATION"

THE REALIZATION OF THE TECHNOLOGY "PEDAGOGICAL PARTNERSHIPS OF PRE-SCHOOL AND PRIMARY STAGES OF EDUCATION"
IMPROVEMENT STUDENTS CAPABILITIES IN WRITING POETRY BY USING AUDIO VISUAL MEDIA AT GRADE IV SD NEGERI 25 KOTA TERNATE

The objectives of this research to knew the students capability and competence in writing poetry and then increasing of their learning result by using audio visual media. The method used in this research was qualitative descriptive and the type of the research are classroom action research. The data collecting used some kinds of tools like; observation, test and instrument. The result of the research conducted and categorized well done or succeed in implemented. It could be seen on the indicators reached by the students from the first cycle. There were 6 (23.70%) students complete their grade while 24 (26.30) students were incomplete of their grade. In the second cycle there were 22 (92.03%) of students were complete their writing poetry while 2 students needs to be observed and additional learning in progress planning. Thus, concluded that these media and it capable to use in improving children’s develop wring skill.
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting

Numerous new dialog domains are being created every day while collecting data for these domains is extremely costly since it involves human interactions. Therefore, it is essential to develop algorithms that can adapt to different domains efficiently when building data-driven dialog models. Most recent research on domain adaption focuses on giving the model a better initialization, rather than optimizing the adaptation process. We propose an efficient domain adaptive task-oriented dialog system model, which incorporates a meta-teacher model to emphasize the different impacts between generated tokens with respect to the context. We first train our base dialog model and meta-teacher model adversarially in a meta-learning setting on rich-resource domains. The meta-teacher learns to quantify the importance of tokens under different contexts across different domains. During adaptation, the meta-teacher guides the dialog model to focus on important tokens in order to achieve better adaptation efficiency. We evaluate our model on two multi-domain datasets, MultiWOZ and Google Schema-Guided Dialogue, and achieve state-of-the-art performance.
Kura AR: Ultra High-performance AR Glasses and System

Building a 150° field of view, 95% transparency, high brightness, and eyeglasses form factor eyepieces AR glasses with integrated tracking; from the display, silicon photonics design and integration, customized mixed-signal ASIC, optics, system, algorithm, to mass manufacturing procedures; with customizable software applications and computer vision SDK for application developments.
[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners

$\textit{RigL}$, a sparse training algorithm, claims to directly train sparse networks that match or exceed the performance of existing dense-to-sparse training techniques (such as pruning) for a fixed parameter count and compute budget. We implement $\textit{RigL}$ from scratch in Pytorch and reproduce its performance on CIFAR-10 within 0.1% of the reported value. On both CIFAR-10/100, the central claim holds -- given a fixed training budget, $\textit{RigL}$ surpasses existing dynamic-sparse training methods over a range of target sparsities. By training longer, the performance can match or exceed iterative pruning, while consuming constant FLOPs throughout training. We also show that there is little benefit in tuning $\textit{RigL}$'s hyper-parameters for every sparsity, initialization pair -- the reference choice of hyperparameters is often close to optimal performance. Going beyond the original paper, we find that the optimal initialization scheme depends on the training constraint. While the Erdos-Renyi-Kernel distribution outperforms the Uniform distribution for a fixed parameter count, for a fixed FLOP count, the latter performs better. Finally, redistributing layer-wise sparsity while training can bridge the performance gap between the two initialization schemes, but increases computational cost.
Transformer Tracking

Correlation acts as a critical role in the tracking field, especially inrecent popular Siamese-based trackers. The correlation operation is a simplefusion manner to consider the similarity between the template and the searchregion. However, the correlation operation itself is a local linear matchingprocess, leading to lose semantic information and fall into local optimumeasily, which may be the bottleneck of designing high-accuracy trackingalgorithms. Is there any better feature fusion method than correlation? Toaddress this issue, inspired by Transformer, this work presents a novelattention-based feature fusion network, which effectively combines the templateand search region features solely using attention. Specifically, the proposedmethod includes an ego-context augment module based on self-attention and across-feature augment module based on cross-attention. Finally, we present aTransformer tracking (named TransT) method based on the Siamese-like featureextraction backbone, the designed attention-based fusion mechanism, and theclassification and regression head. Experiments show that our TransT achievesvery promising results on six challenging datasets, especially on large-scaleLaSOT, TrackingNet, and GOT-10k benchmarks. Our tracker runs at approximatively50 fps on GPU. Code and models are available athttps://github.com/chenxin-dlut/TransT.
Privacy Preserving Scheme for Online Image Sharing

This paper presents a privacy protection solution for online photo share by obscuring faces in images, which keeps persons anonymous. The proposed system  contains two modules. The first is the face detection module to identify region of interest (ROI) which is faces. The second is a face encryption module, which encrypts the ROI pixels using keys so that the access to the faces is restricted. The face detection module uses skin color detector in YCbCr color space to detect skin areas in the image. Also, to overcome the illumination problems in color images, two color constancy methods were adopted for color correction and lighting of the input images. The edges of the image are utilized to separate the faces segments from the background or object that have similar skin color. Morphological operations such as erosion are applied to remove small areas and hole filling to remove any holes in the binary segments. In addition, the correct faces are located by using a set of features. The face encryption module uses two chaotic logistic maps. One map is used for shuffling the face area pixels and another map is used for encrypting the pixels. Both shuffling and encryption are done using a keys.  The face detection was tested on Caltech face database and showed a high detection rate and can localize face under different illumination conditions. The experiments on face encryption showed satisfactory results in various tests in terms of key space, PSNR, MSE and entropy analysis.
An Integrated System for Continuous Assessment and Examination Management in Schools and Colleges

The technological advancement in IT has brought about the need for computer usage in all areas of human life and endeavors, education sector also. The traditional method of conducting exams is often characterized by questions leakages, human errors when marking the scripts of students and recording of students’ scores. This work, Integrated System for Continuous Assessment and Exam Management was, therefore, born out of the will to solve the problems plaguing the conventional (paper-based) examination system by providing a campus-wide service for e-assessment devoid of dishonest conduct and equally enhances quick feedback. The developed system which uses a combination of HTML,PHP,MySQL reduces the proportion of workload on examination, grading and reviewing on the part of examiners. The system also enables the release of exam results in record time and without errors. Thus, this system can serve as a solution for mass education evaluation and offers many features that cannot be implemented in paper-based system.
Analogy of Quantum Spin and Matrix Array with Electromagnetic and Gravitational Waves Produced from Pure Mathematics

This short article was inspired by the astronomy/astrophysics course “Greatest Unsolved Mysteries of the Universe”. It was prepared by ANU (the Australian National University), was put on the Internet by edX, and the two presenters in the course’s videos are Dr. Paul Francis and Brian Schmidt (yes, the winner of the Nobel Prize for Physics himself). In the video “V5.8: 21 centimetre radiation and the first stars”, Brian said “(To get emission from the hydrogen atom) we're going to have to resort to a little trick of quantum mechanics that is provided for the hydrogen atom, which is that the proton and electron within quantum mechanics have a spin. It's analogous to a top spinning. It turns out that the hydrogen atom has a different energy if those spins are in opposite directions. It turns out it actually has a lower energy and so you can have an energy transition when that flip occurs and a photon comes out.” Then Paul said, “It's a bit like having two bar magnets. If you have them with north pole to north pole, or north pole to south pole, you'll feel a different amount of force between them; a different energy between these two things. When these things are spinning the same way or the opposite way there's a little tiny energy difference between them.” The following explains analogy of quantum spin to maths’ matrix and how, using that analogy, the statements by Brian and Paul can be converted into a mathematical origin of electromagnetism and gravitation.
A Novel Authentication Framework with Conditional Privacy Preservation and Non-Repudiation for Fog-Vanet

The joining between conveyed figuring and vehicular uniquely delegated associations, explicitly, vehicular fogs (VCs), has become an enormous investigation domain. Profound learning is essential for a more extensive group of AI strategies dependent on fake neural organizations with portrayal learning. Quite possibly the most fascinating regions of exploration is the examination of street traffic. This incorporates vehicle way following, way forecast, smart vehicles, clog location and some more. The majority of the exploration that has been never really gridlock utilized vehicular specially appointed organization (VANET) yet of late information mining approach has been applied. In spite of the fact that the vast majority of the proposed work has effectively recognized gridlock, it is intricate to think of a successful instrument that fuses identification, control and forecast of repetitive and non-intermittent gridlocks across the board framework. This venture takes a gander at how information mining contrasts and VANET in performing street gridlock identification, control and expectation. By planning the computation capacity of a cloud laborer with that of vehicles nowadays, we propose a Deep Neural Network (DNN) part to normally and adroitly perceive wild vehicles dependent on AI counts. To help a significant mindful disturbing structure, a three-level system designing is made from existing vehicular associations, which involves vehicles, street side units (RSU) and a cloud laborer. Furthermore, given the way that most vehicles can be trusted to drive safely, to moreover diminish the transmission stack of the DNN segment, we plan our plot so every vehicle simply moves the data of driving moves with indiscreet potential to RSUs. In view of the gathered data, the cloud specialist overall rates every vehicle's driving display by using Support Vector Machine (SVM) and Decision Tree (DT) decision tree AI models. We finally execute the proposed DNN part into a standard traffic test framework, Simulation of Urban Mobility (SUMO), for appraisal. Entertainment results address that our protected disturbing structure can decisively distinguish insane vehicles and effectively give advantageous aler.
REFLECTION AS A MECHANISM OF PROFESSIONAL TRAINING OF THE FUTURE TEACHER

The aim of the article is to study reflection as a mechanism of professional training of future teachers. The psychological nature of reflection as a universal mechanism of self – regulation and self – development of the personality is considered. In the scientific community there are various approaches to understanding pedagogical reflection. It is interpreted as: activity; component of pedagogical abilities of the teacher; mental neoplasm of the student's personality. The reflection of the future specialist, as his inner mental activity, is aimed at self-knowledge and understanding of their own actions and states, interpersonal relationships and communication with others, because self-knowledge is the initial stage of self-improvement. The teacher's ability to reflect is a mechanism for rethinking stereotypes of consciousness, behavior, communication, thinking, awareness of the bases, means, stereotypes of activity, their critical and heuristic rethinking, generating innovations in various aspects of professional activity. The development of reflexive-project skills allows the teacher not only to realize his professional activity, but also to make the transition from the position of «response» to the position of «self-organization». The teacher learns to teach himself to define the limits of his knowledge (ignorance) and independently find the conditions to overcome their own limitations, thereby increasing their professional competence. An experienced teacher's process of reflection is permanent, depending on: individual and personal characteristics; personal maturity; practical experience; professional erudition; level of general culture. The model of development of reflective skills of future teachers includes a set of different methods and tools, as well as various forms of organization of the educational process, such as lectures, seminars and practical classes, trainings, independent and self-educational work, individual and group consultations. Internships are a key component of each course (compulsory and optional). The key to students' professional development is to encourage continuous growth through critical theoretical understanding, practical application and experimental learning, both inside and outside the university. The ability to reflect is an important factor in the readiness of teachers to innovate, the desire for self- improvement, the introduction of educational innovative products in the educational process.
Correction to: Internal and external memory set containment join

A correction to this paper has been published: https://doi.org/10.1007/s00778-021-00662-9