Reviewerly/exHarmony huggingface dataset:
MEDIA INTERAKTIF PENGENALAN BAHASA ISYARAT BISINDO

Sign language is the communication that used by the deaf people. Sign language is also a form of accessibility for deaf people to be able to socialize with people around them. Deaf socialization with normal people in the society is not optimal because most of the people does not yet know sign language. Based on these problems, this study aims to develop an interactive media introduction to BISINDO sign language based on augmented reality for the community in supporting a society that is more inclusive of the deaf. This study uses a Research and Development (R&amp;D) approach. The sample in this study was deaf people who participated in the Gerkatin Padang community, and people from various professions in the city of Padang. The data collection technique was carried out using a questionnaire and a focused group discussion technique. Based on the results of the collection of 100 respondents' perceptions data from the public towards sign language obtained: 1) the level of getting to know the community towards sign language is still low at 57%, 2) the level of skills using sign language is still low at 83%, 3) the importance level of sign language according the community is 81%, 4) The level of community needs to learn Sign Language is obtained by 88%, and 5) The level of selection of the right media for learning Sign Language, 74% of respondents choose media in the form of a smartphone application. The validity of the interactive media prototype introduction BISINDO sign language developed in terms of substance that is the suitability of sign language in the application obtained a validator rating of 89.33%, then in terms of the media obtained a validator value of 89.67%. It can be concluded that the interactive media prototype in the form of a smartphone application that was developed very well in terms of substance and media so that it is very feasible or valid to be used in the introduction of BISINDO sign language.
Statistical Analysis of Cervical Overlapping Cells and Identification of Lesion Cells Based on Sparse Morphological Learning Model

Clinically, the microscopic images of cervical cell smears are complex and changeable. Besides, the individual’s fluctuation is large, and the environment of dyeing is fluctuant, which causes the cervical cells in the smear microscopic images are of a complex category, and a large number of cellular agglomerations and adhesions when hyperplasia is active. Therefore, we proposed a statistical analysis of cervical overlapping cells and identification of lesion cells based on morphological learning model, which adopts sparse representation and mathematical morphological operation to achieve the segmentation of the complex cell from clinical smear microscopic images. The segmentation results demonstrate that the proposed method has the best segmentation performance and excellent generalization capability. It can be applied in the clinical application of cervical cytology images analysis. The proposed method has certain theoretical significance and application value.
Онтологічні засади формалізації інформаційних джерел у е-освітніх середовищах

The article deals with the knowledge-oriented approach in the formation of open e-learning environments, based on the concepts of ontology and transdisciplinarity. It emphasizes the need to search for new cognitive paradigms that would include classifications of knowledge, concepts, entities of scientific categories in the educational environment, especially in the open, computer-oriented one. It is noted, that one of the promising directions of further improvement of electronic learning systems is the development of methodological and logical bases for the design of educational systems on the basis of computer ontologies, on the basis of which the user is provided with a holistic, systematic review of a certain subject area - conceptualization of a certain branch of knowledge, which is provided through identifying the underlying objects and the relationships between them. It is determined, that the ontological approach provides the effective design of components of any knowledge-oriented information system. In this process, computer ontology acts as a valid mechanism for creating an open educational system that reflects a certain theory, presented as a set of terms, links, related descriptions and formal axioms, which facilitates the interpretation and sharing of these terms.The technology of the TODAOS software complex, which is intended for the construction of educational local and network (distributed) systems, based on ontologies and context-semantic analysis (from the local ontologically-managed system of providing the educational process to the system of integrated multifactor analysis of educational information resources through the decision-making system and management of the process of knowledge formation) to ensure the interaction of all users of online information and educational environments. The ontological approach in filling the adaptive educational services of e-educational environments reflects the conceptual system of a certain disciplinary theory, and the methodological support of the educational-cognitive process consists in the assimilation of the conceptual system, axiomatics, rules, syntactic and morphological foundations of this theory
Combining replication and checkpointing redundancies for reducing resiliency overhead

We herein propose a heuristic redundancy selection algorithm that combines resubmission, replication, and checkpointing redundancies to reduce the resiliency overhead in fault-tolerant workflow scheduling. The appropriate combination of these redundancies for workflow tasks is obtained in two consecutive phases. First, to compute the replication vector (number of task replicas), we apportion the set of provisioned resources among concurrently executing tasks according to their needs. Subsequently, we obtain the optimal checkpointing interval for each task as a function of the number of replicas and characteristics of tasks and computational environment. We formulate the problem of obtaining the optimal checkpointing interval for replicated tasks in situations where checkpoint files can be exchanged among computational resources. The results of our simulation experiments, on both randomly generated workflow graphs and real-world applications, demonstrated that both the proposed replication vector computation algorithm and the proposed checkpointing scheme reduced the resiliency overhead.
OPTIMIZATION OF QUANTITATIVE INDICATORS OF COMPLEX SEISMO-HYDROGEOCHEMICAL MONITORING WITH THE PURPOSE OF FORECASTING STRONG EARTHQUAKES

The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community.Қазақстан Республикасы Ұлттық ғылым академиясы "ҚР ҰҒА Хабарлары.Геология және техникалық ғылымдар сериясы" ғылыми журналының
Framework for developing electric wheelchair standards for people with disabilities

The trend of using electric wheelchairs in Indonesia has begun to appear. However, Indonesia does not yet have an official regulation that regulates electric wheelchairs. So, it is very important to know the standard parameters needed to regulate the production of electric wheelchairs in Indonesia from the opinion of selected stakeholders. The selected stakeholders in this study were people with disabilities who had used electric wheelchairs for a certain period. The stakeholder was taken in this paper are electric wheelchair users in the area of Surakarta Residency. In developing the standard framework, the FACTS (Framework for Analysis, Comparison, and Testing of Standard) approach was chosen. This approach begins with an analysis of stakeholder needs, a comparison of standards that are used as a reference, and testing of the standard framework. This method was chosen because it can consider the interests of all relevant stakeholders in developing standards. The results of this study are the framework used in standard setting in Indonesia so that Indonesia National Standard (SNI) for electric wheelchairs can be developed and can be used to protect electric wheelchair products in Indonesia. There are 7 main parameters of an electric wheelchair that will be a concern. The parameters are stability, maneuvering ability, the ability of tire, battery, braking systems, control system and the last is testing of the wheelchairs.
A Summary of Teaching Reform of Software Engineering Major Under the Background of Big Data

With the continuous development of science and technology, computers have been widely used, big data is a topic of great concern.The advent of the era of big data has greatly improved people's ability to analyze and process data, the convenience brought to people's lives is obvious to all.The healthy development of big data industry can not be separated from the support of software engineering professionals with high comprehensive quality, in order to train more high-quality software engineering professionals in the background, the reform and innovation of software engineering teaching is needed, which also adapts to the development direction of software engineering major.This paper summarizes the views of Li Yuefei, Wang Yichao, Wang Rei, Xiu Xiaoyu, Peng Zhengquan, Fang Yujie and other scholars, starting from the background of the research background of the teaching reform of software engineering in the context of big data, and makes a key analysis of the reform of software engineering professional model in the background of big data.
Numerical Study of Optimal Control Problem for a Distributed System of Savings in the Region’s Population

In the development of a strategic concept for the development of regional socio-economic systems, an important tool is their analysis and mathematical modeling. The paper deals with optimal control problem for a system describing the distribution of the region’s population by monetary savings. An example of a numerical study of the model for the region of the Russian Federation (Perm Region) was carried out using Comsol Multiphysics. To calculate it, clusters of the population of the region were defined by the level of average per capita income. Model parameters were determined on the basis of statistical data and expert estimates in each cluster. Then, stationary distributions were obtained for each cluster and for the entire region. It turned out that the distribution of the Perm Region’s population by monetary savings is a bimodal and highly differentiated one. The distribution with a less pronounced differentiation was chosen as a target. The controllable function was a function of migrants. The combination of socio-economic and migration policy decisions (including support of the needy population and attract migrants) according to the found optimal rule will reduce the differentiation of the population by monetary savings. Applying methodology of optimal control to mathematical models of socio-economic distributed systems can help the leadership of the region to make more accurate and balanced decisions and, consequently, to increase the effectiveness of the region’s management.
RTSNet: Real-Time Semantic Segmentation Network For Outdoor Scenes

Semantic segmentation technique plays an important role in robotics related applications, especially autonomous driving and assisted driving. Real-time semantic segmentation has very significant practical meaning, but many studies focus on accuracy, not computationally efficient solutions. In this paper, a real-time semantic segmentation network based on encoder-decoder architecture is proposed. This framework's encoder part adopted a lightweight network architecture for feature extraction and this architecture is mainly based on the MobilenetV2. Its decoder part is decided to use the Skip architecture. This architecture can utilize higher resolution feature mapping to provide adequate accuracy and greatly improve computational efficiency. We evaluated RTSNet on the Cityscapes dataset for urban scenes and compared with the state of the art real-time semantic segmentation networks. The mean intersection-over-union it can achieve on the Cityscapes dataset is about 62.0%, while it achieved 14.0 fps on NVIDIA Jetson TX2 with 360×640 input images.
360° Video as an Opportunity for the Inclusion of Product Placement

This chapter focuses on 360 ° video in the context of product placement. At the beginning, a description of advertising related to profitability as an important factor for organizations' success is given, and the need is exposed for effective advertising approaches. This is followed by a description of 360° video, including all relevant theoretical concepts. The latter serves for placing the modality of the medium between traditional video and virtual reality. The following section focuses on the essential aspects of product placement characteristics for studying in terms of 360° video. Finally, the topics are linked by examining the correlation between concepts and analyzing existing videos across certain platforms intended for immersive story-telling. 360° video is identified as an immersive medium with potential for the inclusion of product placement. At the end, there is a discussion including theoretical implications, future directions, and limitations are exposed, and a conclusion is reached.
On the Existence of Hurwitz Polynomials with no Hadamard Factorization

A Hurwitz stable polynomial of degree $n\geq1$ has a Hadamard factorization if it is a Hadamard product (i.e., element-wise multiplication) of two Hurwitz stable polynomials of degree $n$. It is known that Hurwitz stable polynomials of degrees less than four have a Hadamard factorization. It is shown that, for arbitrary $n\geq4$, there exists a Hurwitz stable polynomial of degree $n$ which does not have a Hadamard factorization.
The Role and Influence of “Clip Thinking” on the EducationalProcess in Medical Education

Information technology has strengthened the role of information, leading to the fact that modern society has reached a new stage of development – information. A fundamentally new way of communication and information broadcasting called the “screen culture” is emerging. The information society influences the society of people, their training and management processes. This influence is transforming our thinking, and therefore such concepts as “human-screen”, “clip thinking” and “clip consciousness” appear more often in the academic literature.
Student assessment as a tool to improve the quality of higher education

Introduction. The main issue of the study is the problem of improving the quality of education. As part of the comprehensive and effective development of educational institutions of the Russian Federation, it is necessary to meet the requirements for providing new and innovative tools for quality control of education. One of these tools is the use of a score-rating system for assessing students of higher educational institutions. Purpose of research is to analyze and improve the existing methods of evaluation of students of higher educational institutions. Materials and methods. The comparative analysis of existing methods of assessment of students is applied. The main shortcomings of the traditional system of evaluation of students of higher educational institutions are determined by empirical method. Results. The new score-rating system for assessing students has been developed that meets modern standards of higher education in the Russian Federation and includes a multi-level system of criteria that take into account all stages of student-teacher interaction. Conclusions. The developed system of criteria can be applied to absolutely any discipline with any amount of load. But preferably with full-time or part-time education.
Default aspect based on state change

The paper shows that a single aspect operator successfully generates the interpretations of Russian perfective and imperfective forms, if the following requirements are met. First, the default aspect operator has to be based on the notion of state change. Secondly, the output of the operator is filtered by semantic and morphological blocking constraints.
Design and Implementation of the UDS Diagnostic System Based on CAN Bus

Based on the ISO15765 protocol and the electronic control unit (ECU) to complete the design and implementation of host computer software for the fault diagnosis function. The main contents include: This paper first introduces the basic requirements and specifications of CAN bus and ISO15765 protocol, then introduces the specific requirements and definitions of all diagnostic service in the implementation process , Using CANoe software simulation method implements the diagnostic requirements. Finally, it introduces the core process and state transfer process of the software design .Test the software and compare it with the traditional version which is carried out through CANoe software and then analyze the result and draw a conclusion.
Open Source Autonomous Bengali Corpus

Through Sentiment Analysis System it is possible to know what kind of information is there in a text.For example, one can identify is the text about a particular product, political view, sport, entertainment, education, politics, etc. or not.It is also possible to further categorize text in positive, negative or neutral.So, through proper Sentiment Analysis, the current technology would go to another step.There are so many works on Sentiment Analysis that have been done already in different languages.But due to lack of data, the work on Sentiment Analysis on Bangla Text is very limited.Because word categorization accuracy depends heavily on the size of the text corpus used to derive the inter-word statistics.So, it was planned to develop an automated corpus generation system that traverses the Web collecting text and stores them under the defined category.This flexible scheme can produce very large general-purpose corpora or particular samples of domain-specific text.
State Filtering and Nonlinear Control of Fine Tracking System in Quantum Positioning Systems

The accuracy of the fine tracking system is the premise of high-accuracy positioning in quantum positioning systems. In this paper, we propose a method combining model reference adaptive control (MRAC) strategyand adaptive strong tracking Kalman filter (ASTKF) to reduce the impacts of satellite platform jitter and environment noise. A mathematical model of the fine tracking system with disturbance and environmental noise are setup and analyzed. Aiming at colored irregular noise signal, we design an ASTKF to estimate the state of the systemon-line, at the same time, the disturbance and noise changing with time are also estimated and eliminated. Bycombining a MRAC strategy, we enhance the robustness of the fine tracking system. Numerical experiments oftracking performances comparing different methods available in the literature are given. The numerical simulationresults show that the proposed method can improve the tracking accuracy, and almost 99.7 % of the spots can beprojected into the square area within 2 µrad.
Website Characterization and Evaluation of the Five Star Hotels in Saudi Arabia Using Advanced Content Analysis and eMICA Framework

This study analyzed the features offered by the websites of the premium and luxury 42 five star hotels in Saudi Arabia on six regions namely Riyadh, Jeddah, Makkah, Madinah, Abha and Jazan Regions of Saudi Arabia during 2018-19.The study evaluated the hotel websites under study based on eMICA stages of promotion, provision, and processing and also grouped in seven dimensions determined by the advanced content analysis.The study also provided insight into hotel websites characterization framework for consumer's information needs on nine parameters as well.It was established from the findings of the study that Saudi Arabian five star hotel websites were yet to utilize the potentiality of their website as a tool for marketing hotel product and services.The aggregate average value of 9 functionality dimensions in this regard was only 36.2 per cent.This is further highlighted with their poor score in reservation functions (2.4%), website functionality (18.8%) and product information (35.9 %).The study found that the development of the most of the hotel websites we studied fell into the second stage of eMICA model, with the exception of Jazan and Abha regions hotels websites, which were in the first stage of development.The study findings hope to aid web marketing of five star hotels for providing the new age customer digital experience for the e-visitors of Saudi Arabian five star premium and luxury hotels.
ANALYSIS OF NEURAL NETWORK CLASSIFICATION ALGORITHM TO KNOW THE SUCCESS LEVEL OF IMMUNOTHERAPY

Cancer is a disease that is feared by humans at this stage, the genetic term of most diseases that have the characteristics of abnormal cell growth and beyond the normal cell limits so that they can attack cells that cover and are able to spread to other organs. For cancer recovery therapy is immunization therapy. Of course in this alternative treatment still needs to be done research to determine the level of success with existing conditions and parameters. Increasingly sophisticated, developing technology that helps human work. The neural network algorithm is used to analyze large datasets, the purpose of this study is to find the accuracy and immunotherapy methods of the dataset using a neural network learning machine with 200 data training cycles, 0.9 momentum and 0.01 learning levels that produce quite high accuracy 80 % and AUC value of 0.738
Noise reduction from grayscale images

An image is a useful form of data that also possess visual appeal. It can be used to observe various processes as well as study certain phenomena. The applications extend from taking good quality images to more crucial applications like medical imaging. A good quality image provides ease in deriving accurate conclusions as the data available would offer high integrity but in a practical situation, images are often corrupted by noise due to various reasons as it is captured or transmitted over a channel. In this paper, we have used a decision tree-based detection method (DTBDM) to detect if the target pixel consists of noise or not. We have worked on the following three test images of MATLAB, namely `Boat', `Peppers' and `Airplane'. After scrutinizing the pixel, we have used different reconstruction filters, namely Median filter, Geometric Mean (GM) filter, Arithmetic Mean (AM) filter, and Harmonic Mean (HM) filter to restore the detected noisy pixels. We have proposed the best reconstruction filter for this detection method by analyzing the peak signal-tonoise ratio (PSNR) values after every restoration and their corresponding histograms.
Kernel Rotation Forests for Classification

There have been significant research efforts for developing decision tree (DT)-based ensemble methods. Such methods generally construct an ensemble by aggregating a large number of unpruned DTs, thereby yielding good classification accuracy. A recently developed method, rotation forest, is known to achieve better classification accuracy by rotating the dataset using principal component analysis (PCA). This paper describes a new method called kernel rotation forest, which is an extension of rotation forest. The proposed method applies kernel PCA instead of linear PCA to extract non-linear features when training DTs. Experimental results showed that kernel rotation forest outperforms rotation forest as well as other DT-based ensemble methods.