Reviewerly/exHarmony huggingface dataset:
Electronic Display as a Means of Automatic Measurements of Relative Motion Parameters During Rendezvous of the “Soyuz MS” and the ISS.

The article discusses the possibility of automating measurements of relative motion parameters using VSK4 optical sight. In order to automate measurements, it is proposed to use an electronic display installed in place of the matte screen.
Extended support for subblock-based affine motion compensation of VVC

Subblock-based affine motion model and prediction refinement with optical flow for affine (PROF) enhances support for more complex motions in Versatile Video Coding (VVC). Current syntax for affine motion model supports signaling large rotation (e.g. close to 90/180/270 degree) and flipping, however, engine of affine motion compensation and PROF does not work optimally for these cases. In case of larger rotation, the predicted subblock is not useful and also there is a big discontinuity in the borders of predicted subblock. Furthermore, PROF increases discontinuity. In this study we propose a solution to detect large rotation, harmonize PROF process, and apply post processing to subblock prediction samples. In video-based point cloud coding (V-PCC) use case, where YUV sequences are generated based on point cloud data, -2.81% and -3.12% overall Bjøntegaard Delta bitrate gain is achieved for random-access and low-delay configurations, respectively. However, the method does not have noticeable effect on encoding and decoding time.
Mind the gap

This paper presents a multi-mobile system that allows users to come together with their mobile devices in an ad-hoc manner, and integrates together as one seamless display surface with multi-touch capabilities. Typically, gaps and bezels between the display causes inherent design problems to the multi-display structures. Two user studies have been conducted with two versions of prototypes design by observing groups of students performing an interactive drawing task. Solution for the bezels was implemented into an iterative prototype. The findings show gaps and disjointed objects were observed in the drawing outcomes, with the implementation of the Continuous Spatial Configuration, the gaps and spaces between the screens were eliminated.
Video Summarization for Copyright Protection

Abstract Nowadays, a summarization of videos for copyright application is an interested research area in computer vision. Key frames extraction is crucial phase in video summarization. This work proposed a method for key frames extraction. The method consists of two operations for covering the content of the whole video sequence. Firstly, a set of candidates key frames are extracted based on adaptive thresholding of difference of histogram of adjacent frames of video data. Secondly, the extraction of a final key frames is done depending on computing Euclidian distance between two adjacent frames in candidates key frames set. The proposed method was tested with a set of standard and online television videos. The experimental results show the efficiency of the proposed system.
Clinical effects of pre-hospital emergency treatment combined with interventional therapy on acute myocardial infarction

ObjectiveTo observe the clinical effects of pre-hospital emergency treatment combined with interventional therapy on patients with acute myocardial infarction, and to provide a reliable basis for the selection of treatment methods.MethodsThe clinical data from 600 patients with acute myocardial infarction admitted to General Hospital of Tongmei Group from March 2017 to March 2019 were retrospectively analyzed. And the patients were grouped by treatment methods. All patients were given emergency treatment before admission. A total of 317 patients with interventional therapy were included in the observation group, and 283 patients with conventional treatment were included in the control group. The absolute value of the difference in the heart rate, respiration, blood pressure, blood oxygen saturation and other indicators before emergency treatment and during transportation were observed and compared between the two groups. The number of defibrillation and hospital stay were compared between the two groups. The success rate of rescue, incidence of complications and rate of sudden death in the two groups were calculated.ResultsDuring delivery and before emergency treatment, the absolute differences of heart rate, respiration, blood pressure and other indicators of the observation group were superior to those of the control group, and the absolute difference of blood oxygen saturation was lower than that of the control group, however, the number of defibrillation and hospitalization time were less than those in the control group, with statistically significant differences (P< 0.05). The success rate of rescue in the observation group was 95.90%(304/317), significantly higher than the 81.98%(232/283) in the control group (P< 0.05), and the incidence of complications and sudden death rate were statistically lower than those in the control group (P< 0.05).ConclusionsPre-hospital emergency treatment combined with interventional therapy in patients with acute myocardial infarction can effectively improve clinical symptoms in a short period of time, which is beneficial to reducing the number of defibrillation, shortening the length of hospital stay, improving the success rate of rescue, and reducing the risk of related complications and sudden death.Key words: Acute myocardial infarction; Pre-hospital emergency treatment; Interventional therapy; Success rate of rescue; Clinical curative effect
A solution to electronic license based on Blockchain

The e-license generated by the Internet plus government affairs is an important part of the government's informatization, and the current application faces some problems that cannot be overcome by the existing technology. For example, cross-regional and inter-departmental application processes are complex, applicants and difficult to apply, use, and verify for certificates. Government information communication channels are not smooth. Access rights management is unscientific. Resources are shared and exchanged in real time. Due to complicated processes and data barriers, the public participation is not high. The blockchain as a decentralized centralized technology is undoubtedly the most appropriate choice for solving existing problems.
Design Method of Front-end Componentized Architecture for Big Data Visualization Large-screen

At present, visualization applications based on big data are complex and diverse, and there is a lack of unified and standard methods for application development, resulting in low reusability of visualization applications and difficulty in expansion and maintenance. Therefore, this paper proposes a front-end componentized architecture design method for big data visualization large-screen application scenarios. It can provide the unified visualized large-screen componentized development guidelines. This method can not only improve the efficiency of application development but also enhance the standardization and scalability of data visualization applications.
Optimal Design of Massage Chair Interface Based on Eye Tracking Technology

Massage chair can simulate “push, knock, knead, button, pinch” and other massage techniques. However, the realization of these functions depends on the control of the controller, so the interface design of the massage chair controller is very important for the massage chair. The realization of function is very important. In this study, eye movement experiment and evaluation experiment were used to study the human factor problems in list, grid and card interfaces, and the information architecture and interaction mode of massage chair interface were optimized. The results of this study can provide a scientific basis for the optimal design of Internet of things mobile interface.
DSREFC

Distant supervisory relationship extraction can automatically align the expected entity pairs, and automatically obtain a large number of annotation data, thus saving a lot of labor costs. However, the automatic acquisition of annotated data will lead to the introduction of noise data, making little effect of relation extraction task. To solve this problem, we propose the relation extraction model DSREFC, which integrates semantic features and syntactic features into the representation and uses attention mechanism to obtain bag representation. The DSREFC model has three characteristics: 1) The BERT+Bi-LSTM is used as the text representation extractor to extract the semantic information of the text. 2) the grammatical information is extracted with the GCN network used in the text, and combine theBi-LSTM output with the GCN output to obtain a distributed representation of each token. 3) The two-step attention mechanism is used to remove the influence of the noise data by giving the noise data a lower weight value. Attention is used to obtain the sentence representation for each token and attention is used to obtain the packet representation for each sentence in the packet. Experiments show that the DSREFC model combining semantic features and grammatical features can significantly improve the effect of relation extraction.
Memory Elasticity Benchmark

Cloud computing handles a vast share of the world's computing, but it is not as efficient as it could be due to its lack of support for memory elasticity. An environment that supports memory elasticity can dynamically change the size of the application's memory while it's running, thereby optimizing the entire system's use of memory. However, this means at least some of the applications must be memory-elastic. A memory elastic application can deal with memory size changes enforced on it, making the most out of all of the memory it has available at any one time. The performance of an ideal memory-elastic application would not be hindered by frequent memory changes. Instead, it would depend on global values, such as the sum of memory it receives over time.
Object-Based Design and Modeling Batik Nusantara Catalog Wibatara.com

Abstract The existence of batik as one of Indonesia’s cultural heritages lately has been echoed to become a fashion trend for young and even foreign generations. The preservation of batik needs to be done by introducing it as widely as possible. It is also commensurate with UNESCO’s decision to recognize that batik is a world cultural heritage that was born from Indonesia. In addition, the number of studies and free articles that discuss about the nusantara batik in various media also contributed to the reason for the development of wibatara.com as a batik catalog of the nusantara. Wibatara.com will gather information about batik in the form of an online catalog. Wibatara.com development uses extreme programming. While modeling the process using Unified Modeling Language (UML). It also produced an interface design for admins and visitors.
Digital Watermarking Algorithm for 2D Vector Graphics

At present, digital watermark technology has been relatively mature in the security protection of images, video, audio and other fields, and has achieved many successful applications. In contrast, there are relatively few watermarking methods for vector graphics copyright protection. We propose a digital watermarking algorithm for the vector graphics drawn by the spline. Firstly, we grab the color values of vector graphics and construct a color matrix. Then DWT decomposition and Slant transformation are performed on the color matrix. Finally, the watermark image is embedded in the low frequency component of the color matrix. Experimental results show that not only the watermark information is successfully hidden to the vector graphics, but also the algorithm can effectively resist object modification attacks.
Identity-based Format Preserving Encryption of Data Desensitization Program

Data masking is the core technology to eliminate privacy sensitive information in finance, power and other industries. FPE (Format Preserving Encryption) is used for data desensitization due to the reason that its ciphertext and plaintext are in the same message space. Both the ciphertext and plaintext have the same format characteristics. Based on the traditional format-preserving encryption desensitization scheme, this paper proposes a general model for the application of identity-based format pre-encryption (IB-FPE) in data desensitization technology. Firstly, the solution preserves the traditional format retention encryption scheme and maintains data integrity efficiently. Secondly, by improving the key generation function, the identity information is associated with the master key, thereby locating and limiting the damage caused by the key exposure to the format retention encryption. Finally, by increasing the processing opinion of segmented data, the efficiency of the format-preserving encryption desensitization scheme is improved and the data desensitization process of the specific example is analyzed, and the security and efficiency of the scheme are analyzed.
UI sketching reskill for UX researchers

In this paper, we highlighted the importance of User Experience (UX) sketching as one of the skillsets required for UX researchers in project development especially in low participatory design awareness countries like Malaysia. This is due to the results from UX research activities that are not perceived to be impactful by developers, designers and other stakeholders in digital transformation projects especially by the government that has been suffering from vendor-centric Request for Proposal (RFP) tender for the past 60 years. In consequences, time taken by developers to code from requirements captured by business analysts is longer than visual representation produced by UX or UI designers, which shortens the requirement gathering process. In conclusion, we found that UX sketching that produces visual representation of user needs to be effective especially in participatory design approach and to reduce user frustrations.
Training of library and information personnel for the service of persons with disabilities: current status and development trends

This article raises one of the urgent issues of the modern international social sphere – creating a comfortable environment for people with disabilities. The international and domestic legal framework for the regulation of the life of persons with disabilities is reflected. The organization of receiving cultural and educational services by people with disabilities is highlighted. Researchers focus on the need to train highly qualified professionals for library and information services to deal with people with disabilities. The organizational and pedagogical foundations of the innovative academic discipline “Dealing with Library Users with Special Needs“ developed by E. V. Bakhtina, are described and disclosed. Prospects for the development of the phenomenon under study in the context of the social development are indicated.
Affective Internet of Things

The Internet of Things (IoT) has been becoming more and more popular lately in all areas of people's lives and their activities. The IoT assists in accumulating more and more accurate quantitative and qualitative data. A greater and more accurate amount of data allows for performing a deeper multiple criteria analysis and making decisions that are more rational. The IoT can perform an observation of the surrounding environment along with its analysis independently while adapting to an every-changing situation. Accumulating data, whether digital, textual, speech and video data, observing, analyzing and rational decision-making, require a considerable time and prove to be expensive processes. Lately efforts are underway to humanize the IoT and to integrate it with the Building Information Modeling (BIM). Therefore, this chapter section analyzes the Affective Internet of Things, Smart Homes, Ambient Intelligence, Affective Computing, BIM, Smart and Interactive Buildings, and Smart Building systems. There is also a description of the Affective BIM4Ren, which is currently under development by the authors of this chapter.
A hybrid OFDM–CDMA-based robust image watermarking technique

Digital watermarking is a process of embedding hidden information called watermark into different kinds of media objects. It uses basic modulation, multiplexing and transform techniques of communication for hiding information. Traditional techniques used are least significant bit (LSB) modification, discrete cosine transform (DCT), discrete wavelet transform (DWT), discrete Fourier transform (DFT), code division multiple access (CDMA) or a combination of these. Among these, CDMA is the most robust against different attacks except geometric attacks. This paper proposes a blind and highly robust watermarking technique by utilizing the basis of orthogonal frequency division multiplexing (OFDM) and CDMA communication system. In this scheme, the insertion process starts by taking DFT of host images, permuting the watermark bits in randomized manner and recording them in a seed as a key. Then PSK modulation follows inverse DFT (IDFT) that gives watermark information as OFDM symbols. These symbols are spread using spreading codes and then arithmetically added to the host image. Finally, scheme applies inverse DCT (IDCT) to get watermarked host images. The simulation results of the proposed scheme are compared with CDMA-based scheme in DCT domain. The results show that the robustness of the proposed scheme is higher than the existing scheme for non-geometric attacks.
Automated methods for the comparison of natural languages

Abstract Starting from the general question, if there is a connection between the mathematical capabilities of a student and his native language, we aim at comparing natural languages with mathematical language quantitatively. In [20] we set up an approach to compare language structures using Natural Language Processors (NLP). However, difficulties arose with the quality of the structural analysis of the NLP used just comparing simple sentences in different but closely related natural languages. We now present a comparison of different available NLPs and discuss the results. The comparison confirms the results from [20], showing that current NLPs are not capable of analysing even simple sentences such that resulting structures between different natural languages can be compared.
설명적 순차 설계를 통해 알아본 대학수학능력시험에서 화학I 응시자 수 감소 요인에 대한 탐색

The purpose of this study was to investigate the factors leading to the decrease in the number of students who took Chemistry I from the 2014 CSAT to the 2019 CSAT. To do this, an open questionnaire survey was first conducted with 27 chemistry teachers. Following this, in-depth interviews were conducted with seven Chemistry teachers focusing on keyword analysis derived from the questionnaire. The results of the study are as follows: first, some items were somewhat out of scope with the curriculum. These questions made students feel an additional learning burden. Second, examinees for the Chemistry I exam had more of a burden for time compared to other subjects. Items which were excessive included computational demands or those that were time-consuming, such as IQ-tests, and they accelerated this problem. Third, students thought that it was difficult to get a good grade in Chemistry I compared to other subjects. For this reason, students in their third of fourth year were constantly dropping Chemistry I and changing to other subjects. In order to solve the problem with the decrease of examinees for Chemistry I, it is necessary to develop solutions that address these issues and are based on the curriculum, chemical concepts, and principles.
MODELS OF A QUANTITATIVE SCALE FOR EVALUATING SEMANTIC INFORMATION

The problem of mathematical modeling of semantic information is analyzed. A model of the information environment as a carrier of semantic information is developed. The procedure for evaluating semantic information in the simulation of functioning in the accumulation and evaluation mode is presented. A software package for creating an information environment and conducting simulation studies has been developed. We consider the setting of computational experiments in the comparative analysis of the amount of semantic information of a text resource. The most current applications of the model are shown.
Hybrid Dct based Approach for Duplicate Region Detection

Identification of even minor modifications in images belongs to an intensifying branch of multimedia forensics. Numerous solutions have been identified and employed to detect the common attacks made to tamper the image. Copy-Move is most commonly used attack chosen by forger to tamper the image. Detection of copy-move is mainly carried out by using block matching and key-point based methods. This paper proposes hybrid framework for copy-move tamper detection. This hybrid approach combines traditional Discrete Cosine Transform and Principal Component Analysis (DCT-PCA) based feature extraction. The proposed method is evaluated for 8x8 and 16x16 block size and effectively works for both block sizes. K-means clustering is used for block division which is faster than other techniques block clustering algorithms. Results show that, overall accuracy of the system is increased by applying K-means clustering approach. Experimental analysis indicates that system can handle various attacks successfully such as Translation, Rotation, Distortion and Combination of two or more transformations. Proposed system gives 90% success rate with minimum execution time.
Bayesian approach to linear state space model with unknown measurement matrix

A linear state space model is of two equations, one of state space and the other of measurement. Estimation methods for the parameters of the model have been developed from the historic Kalman filter method. The Bayes estimation has also been used under a variety of conditions on the parameter spac e. We explored the availability of the Bayes method for parameter estimation with no constraints on the parameter space and found that the estimation for the state space is acceptable as long as the priors are not vague on both the state and the parameter space. We also investigated the model where the measurement matrix is contaminated with noise and found that the estimates for the state space were more accurate than those by the methods in literature. We made remarks on extended applications of the Bayes method for the linear state space model where a variety of constraints are imposed on the parameter space.
The virtual environment of managing the educational process

The article deals with the methodology of management of independent work of students in the blended learning framework based on a virtual educational environment, which is a component of the electronic information and educational environment of the University. Particular attention is paid to the requirements for interactive software products that form the basis virtual of the learning environment: the requirements of convenience, accessibility, didactic efficiency, and tools for their development.
Mobile Applications For Gas Finding

Abstract Current conditions show that almost all Indonesian households use gas as fuel for cooking, but the availability of Liquid Petroleum Gas (LPG) is not proportional to the number of user needs. This condition makes it difficult for the community to get it. Sometimes they have to search directly to each gas station to get information about the availability of gas. Mobile applications for gas finding that have been made, help the community especially in Padang city to find a gas station that still has a stock of gas. This application is equipped with the name of the Gas Station and location map feature. This application can be accessed using an Android smartphone.