Reviewerly/exHarmony huggingface dataset:
Posture stabilization measures considering behavioral characteristics of inverted pendulum type robotic with inexact parameters

We have been developing an inverted pendulum type robotic wheelchair with the ability to climb stairs. This wheelchair has a seat slider and two rotary links between the front and rear wheels on each side. It is controled by a linear-quadratic regulator consisting of a center of gravity control mode and a rotary link control mode. In this paper, we focus on how to estimate the modeling errors in using this system and how to suppress the wheel motion, because modeling errors caused by payloads can cause the wheelchair to fall. We found that modeling errors cause wheel movement due to errors of the slider position and changes of the mass of the passenger. We proposed a method for estimating the slider position error and mass change, and confirmed that the method can be applied to correct the error.
Resúmenes al Español

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Resúmenes al Español. Intellect Dev Disabil 1 August 2021; 59 (4): 367–368. doi: https://doi.org/10.1352/1934-9556-59.4.367 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
А. A. ZIMIN’S LIBRARY IN THE CENTRAL STATE ARCHIVES OF THE MOSCOW REGION. ACQUISITION HISTORY AND AN OVERVIEW OF THE COMPONENTS

The article briefly shows the formation history and provides an overview of the library of A.A. Zimin, who was the famous scientist, one of the largest experts in the history of Russia in the Middle Ages. The library has been received recently by the Central State Archives of the Moscow Region. The library has been collected by A.A. Zimin for several decades eventually reflecting a wide range of his scientific interests, as well as hobbies. It accumulates the works of many prominent Russian historians, contains a unique collection of Russian chronicles and other documentary publications, which are valuable sources for studying various aspects of the history of Russia. There is a large number of works devoted to the most famous monument of Russian literature – “The Word about Igor’s Regiment”, in the study of the origin of which A.A. Zimin has been engaged for a long time formulating his point of view on this problem. There are also many publications of a bibliographic nature, works on source studies, historical geography, faleristics, diplomatics, and other auxiliary historical disciplines. Among the books related to the scientist’s personal hobbies, there are many works on the history of domestic and foreign cinema. The inscriptions on the books and the ex-librises are of considerable interest. Upon completion of the archival processing of the received collection, the researchers, when they turn to it, will be able to find answers to many questions that interest them.
LAS DIFERENCIAS ENTRE LA EDUCACIÓN A DISTANCIA Y VIRTUAL EN COLOMBIA

The article presents the conceptual differences around distance and virtual educational modalities in Colombia, analyzing the legal context under Law 30 of 1992 and Decree 1295 of 2010 that established two modalities in distance education: traditional distance and distance education. In addition, Decree 1075 of 2015 and 1280 of 2018 as a regulatory framework for higher education and its modalities, on the other hand, a historical journey is made highlighting the incidence of technological development, the use of ICT, offer of programs and indicators evaluation of the quality of both modalities.
Image-based Navigation Mode Selection for Planetary Rover

This paper presents a navigation selection method for planetary rover. Since it is impossible for operator to control rover remotely due to communication constraints, the rover is required to have the ability to navigate itself to the destination. However, the detailed mode of each navigation function needs to be set by operators, and human intervention is required every time environment changes. In order to realize more efficient exploration, it is necessary for the rover itself to select a navigation mode adapted to the environment. This paper proposes a method to select an appropriate navigation mode from images taken by rover using deep learning, and evaluates the validity of the proposed method.
Helpdesk Ticketing Information System Based on Android at Communication and Information Department of Badung Regency

In the operational activities of Diskominfo at Badung Regency, there are often reports of service problems every day. Currently, the reporting of these problems is still done in person via telephone or short message, which affects the speed of handling the report. The complaint system is a solution to problems related to reporting and handling of these service problems. In this study, a mobile application-based complaint system will be developed for the client-side to make it easier for clients to report or respond to reports and for the server-side, it will be developed on a web-based basis to still facilitate the management of complaint data. This study uses Data Flow Diagrams to model the process and Entity Relationship Diagrams to model its database. The evaluation process is carried out using the black box testing method and usability evaluation using SEQ and SUS. The system that has been successfully developed is able to carry out the main processes related to adding reports, viewing report progress, verifying reports, following up on reports, and changing report status. Testing using the black box testing method on 7 test classes with 74 test scenarios to get 74 valid test scenarios. Testing the installation and use of applications on 3 types of smartphones has also been successfully carried out without any problems. Usability testing on users using SEQ gets a middle value of 6 (for Administrator and IT Staff) and 7 (for Verification), which shows that the application developed is easy to use by the user, with the results of the SUS the questionnaire, the user shows that the application is in the Excellent class with an average value obtained from 15 respondents of 80.5.
Interest-Based News Feed

There exist various news providing Web applications (e.g., Hindustan Times, Aninews, Beebom, etc.) that provide news articles of various domains (like technology, sports, business, etc.) to the user. However, in today’s world of busy life, one may not get enough time to go through different news Web sites to read various long news articles. This paper provides an approach to construct a Web-based platform for the users where a user can get daily news from different news Web sites that belong to various domains at a single place only and also in a very concise manner. Moreover, the user can select news categories and the news Web sites from which he or she wants news from. For example: One may want to get news articles that are only related to sports and technology and that too from ANI News and Beebom news Web sites. This paper proposes an idea of creating a platform that ensures customized and concise news feed for the user.
Hybrid Differentially Private SVM based on Matrix Gaussian Scheme and Homomorphic Encryption

Support Vector Machine (SVM) is a promising solution in statistical learning, benefiting from its famous kernel trick. However, recent research pointed out the security concern for kernels in distributed environments. The private data hided in kernel matrix may be disclosed and leaked by the insider collusion attack. In this paper, the author first proposes the solution based on differential privacy. The solution adopts modified Matrix-Variate Gaussian (MVG) mechanism to achieve the differential privacy, based on the observation for insider collusion attack made with the help of the matrix properties of kernels in the real-world applications. Furthermore, to deal with the noisy differentially-private SVM, the author also proposes a homomorphic-encryption-based framework to enhance the utility and keep it secure at the same time. To the best of the author’s knowledge, this work is the first to propose the differential privacy solution to counter the insider collusion attack in SVM.
Training Strategies for Neural Multilingual Morphological Inflection

This paper presents the submission of team GUCLASP to SIGMORPHON 2021 Shared Task on Generalization in Morphological Inflection Generation.We develop a multilingual model for Morphological Inflection and primarily focus on improving the model by using various training strategies to improve accuracy and generalization across languages.
A Linear-Time Streaming Algorithm for Cardinality-Constrained Maximizing Monotone Non-submodular Set Functions

Nowadays, massive amounts of data are growing at a rapid rate every moment. If data can be processed and analyzed promptly as they arrive, they can bring huge added values to the society. In this paper, we consider the problem of maximizing a monotone non-submodular function subject to a cardinality constraint under the streaming setting and present a linear-time single-pass deterministic algorithm for this problem. We analyze the algorithm using the parameter of the generic submodularity ratio \(\gamma \) to achieve an approximation ratio of \(\left[ \frac{\gamma ^4}{c(1+\gamma +\gamma ^2+\gamma ^3)}-\varepsilon \right] \) for any \(\varepsilon \ge 0\) with the query complexity \(\lceil n/c \rceil +c\), and the memory complexity is \(O(ck\log (k)\log (1/\varepsilon ))\), where c is a positive integer. When \(\gamma =1\), the algorithm achieves the same ratio for the submodular version of the problem with the matching query complexity and memory complexity.
Learning speed equalization network for few-shot learning

The core challenge of few-shot learning is the serious overfitting problem on new tasks because of the scarcity of labeled data. Self-supervision learning can mine powerful supervision signals from the data itself to enhance the generalization performance of the model. Thus a rotation self-supervision module has been directly integrated to a few-shot learning network to alleviate the overfitting problem. However, due to the level difference or convergence speed difference in the loss function for each task, the overall model can be alternately dominated or biased by a certain task during the training stages, which has disadvantages for the main task performance. Therefore, we design a network architecture with auxiliary task learning speed equalization (LSENet) for few-shot learning. The overall model improves the generalization capability using an auxiliary task. In addition, we design a speed equalization module to constrain the decline rate of the two tasks to achieve balanced learning. Our method alleviates the overfitting problem of few-shot learning and greatly improves classification accuracy. Extensive experiments are conducted on benchmark datasets to demonstrate the effectiveness of our method.
Implementation of Rule Based Testing for Digital Circuits Using Inductive Logic Programming

Inductive logic is widely known for implementing a rule based system. The most significant inspiration for utilizing inductive logic programming is that it defeats the llustrative impediments of property estimation learning frameworks. Such frameworks utilize a table based portrayals where the occurrences compare to lines in the table, the ascribes to sections, and for each case, a solitary worth is doled out to every one of the credits. The second inspiration for utilizing ILP is that it utilizes rationale, a declarative langauge. This infers implies that theories are justifiable and interpretable. By utilizing rationale, inductive rationale programming frameworks are likewise ready to utilize foundation information in the acceptance cycle. This system is additionally helpful for AI, specifically for defining furthermore, creating ideas like the covers connection, over-simplification, and refinement operators, see likewise the rationale of consensus. With the help of ILP, rules get induced and induced rules are helpful for testing instead of testbences. This rule mainly represents basic logic for digital circuits. In this paper, authors are implementing optimized inductive logic, i.e., Metarule. This metarule is optimized from inductive logic programming. The main aim of the paper is to simplify the digital testing process with the help of metarule. Using metarule we can implement the circuit logic with some simple code. This code based designs make a quick and simple solution for digital circuit testing. With the help of rule based testing, verification get faster and more reliable. In this paper, authors are implementing rule based testing for digital circuits using ILP and also comparing project file size of verilog and prolog for the same.
An Inimitable Mechanism and Architecture for Security in Cloud using Multi Cloud

Confidentiality, Privacy and Protection of data (CPPD) are the major challenges in the cloud environment for cloud users such as industrials and organizations. Hence major companies are loath to migrate to cloud and also still using the private cloud because of lock in CPPD of cloud. Cloud Service Providers (CSP) are unable to elucidate strength of the storage and services due to lack of data security. To solve the above issue, we trust, algorithms are not the only solution for data security. In this regards, we suggest to change the architecture and develop a new mechanisms. In this paper, we are proposed two thinks. First is move to single cloud architecture to multiple cloud architecture and second is develop an innovative algorithm. And one more think also considered and proposed an inimitable mechanism to use an innovative algorithm in the multi cloud architecture for improving CPPD.
Neural Network Prediction Outside of the Training Range

Data preparation for neural network processing is typically the most difficult and time-consuming task. In addition to the enormous volume of data that could easily reach millions and even billions of rows, the main difficulty is in preparing the data in the correct format for the task in question. In this and the following chapters, we will demonstrate several techniques of data preparation/transformation.
Sliding Window Based On/Off Flow Watermarking on Tor

To analysis traffic in anonymity network, an active network flow watermark scheme, the ON/OFF watermarking, is proposed to embed timing information into the network flow. This scheme exploits a technique that drops packets at prescribed time intervals to create watermark sequence at the sending side of a flow, then extracts inter-packet delay at the receiving side, and computes the L1 distance between generated sequences to identify the network flow. A sliding window based L1 distance computation algorithm is proposed to detect flow watermark at a low overhead. Experimental results demonstrate that this timing-based flow watermarking scheme can identify watermark efficiently and is resistant to timing disturbances in Tor.
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: we develop our submission system where the editors, the authors and the reviewers can access using their unique login password. • Number of submissions received: 311 abstracts • Number of submissions sent for review: 241 abstracts • Number of submissions accepted: 81 articles • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 26% • Average number of reviews per paper: 2 reviews • Total number of reviewers involved: 34 reviewers • Any additional info on review process: - • Contact person for queries: Name : Dr Supari Affiliation : Center for Climate Change Informastion, Agency for Meteorology, Climatology and Geophysics Email : supari@bmkg.go.id; supari.bmg@gmail.com
Blockchain Can Strengthen the Trustworthiness of Meta-Analysis

Blockchain expertise in arrears the secure dealings of cryptocurrencies similar to bitcoin can construct it easy to make transparent meta-analysis where reproducibility is raising concern. With the facility to form time-stamped and tamper-proof, records of measures that can reinforce the simplicity and reproducibility of meta-analysis. In this chapter, to construct a fog/cloud computing (CC) mechanism that should frequently record and track analysts’ decisions like how studies are gathered and analyzed as part of a meta-analysis. In case, where meta-analysis current unpredictable outcomes. The blockchain can aid locate precisely how they chanced based on individual timestamps of logical decisions. The suggested mechanism would faultlessly form trustworthy patient clinical trial demographic profile documents without adding the difficult process of conducting a meta-analysis with the help of supervisor learning. The experimental result is on security based cloud access demographic clinical trial patient profiles from the cloud environment for classification purposes.
ANALISIS PENGARUH NILAI KONDUKTIVITAS HIDRAULIK DAN DISPERSIVITAS DINAMIK TERHADAP REMEDIASI AIR TANAH MENGGUNAKAN SIMULASI NUMERIK

Groundwater remediation is one of the solutions to restore the contaminated groundwater. This study was conducted to determine the effect of hydraulic conductivity and dynamic dispersivity on the groundwater remediation effectiveness. As a case study, in 2020, in an area located in Balikpapan, groundwater remediation will be carried out by injecting water containing NaOH through five wells and pumping it back through five wells to form a cycle. The method used is a numerical simulation consisting of groundwater flow simulation, mass transport, and sensitivity analysis. The results show that it takes 124 to 300 days for the injected NaOH to arrive at the pumping wells. The sensitivity analysis results show that when the hydraulic conductivity value is ten times greater, the time required is reduced to 84 to 172 days. Meanwhile, when the dynamic dispersivity is twice larger, the time required is reduced to 75 to 189 days. These results indicate that the groundwater remediation method will be effective for aquifers with high hydraulic conductivity and dynamic dispersivity values. For the study area, the groundwater remediation is suggested to be carried out by increasing the number of injection and pumping wells with a relatively close distance, i.e., around 10 meters, so that NaOH arrives at the pumping wells more quickly.Keywords: groundwater, remediation, hydraulic conductivity, dynamic dispersivity, numerical simulation
Development of ICT Creativity of Teachers of HEU’ With Helping Infographics

The article covers the importance and theoretical-methodological analysis of developing ICT creativity of teachers of higher education institutions on the basis of infographics. Also, the concepts of ICT creativity, competence, creativity, infographic competence have been explained in detail and the role of ICT creativity in the teaching of module “Educational infographics” have been interpreted.
Il peso delle emozioni nell’argomentazione sui social media

Social media are nowadays fertile ground for debates that are often rich in arguments of persuasive value. In the present writing, we hypothesize that emotions play a significant role in determining the success of arguments on social media. In order to validate the hypothesis, we analyzed Change My View, an Internet forum on Reddit where the persuasiveness of the discussions among participants is explicit and regulated by specific norms. Our analysis revealed that arguments enjoying a higher degree of success were characterized by two particular emotions: anticipation and joy, which we interpret as belonging to engagement, a more general emotional dimension that includes them both. Such characteristics of successful arguments lead us to consider the persuasive experience on social media as analogous to a playful experience. Like in a game, in order to successfully take part in such a persuasive experience, certain requirements are needed: commitment and respect for the rules as well as joyful participation.
Input/Output and Monads

All of the Haskell programs you’ve seen so far have been pure mathematical functions that consume input values and produce output values. Your interaction with these functions has been by applying them to inputs during an interactive Haskell session, and looking at the outputs that appear on your screen once computation is finished.
The Influence of Family Factors on the Academic Performance of Schoolchildren and University Students: Review of Foreign Studies

The family is an informal institution that has a strong influence on the child and on his or her academic performance in particular. Family influence is more essential in childhood, because at a young age children depend a lot on their parents. The nature of relationships between children and parents as well as the role of family in general can change as children grow up. This is a literature review of foreign empirical studies leading to further development of a research program of the influence of family factors on the performance of schoolchildren and students in Russia. In most of the cases, the authors focus on the performance of one group - either schoolchildren or students. This paper considers the research question of whether family factors, which have proven their impact on schoolchildren academic performance, retain their impact on the performance of university students. The novelty of the review lies in its consideration of three ways in which the family impacts on student’s performance: the socio-economic status of the family, the social capital of the family, and the parental involvement in the educational process. The first two ways have been extensively studied in the research, while parental involvement is often considered as a significant factor in school performance. However, it is underestimated as factor in a university student’s performance. The review confirmed that family factors have a significant positive impact on academic performance for both schoolchildren and students. This influence depends on the nature of the relationship between parents and children and can change over time. The results are of practical interest for the researchers in the field of education and psychology, educational institutions as well as for parents. The empirical analysis of parental involvement influence on the academic performance of university students may be one of the possible research themes.
LABORATORY WORK AS A MEANS OF ACQUISITION OF PROFESSIONAL SKILLS FROM TRANSPORT SPECIALTY STUDENTS

The article examines, using the example of the laboratory work «Dismantling an internal combustion engine», the acquisition of skills in the maintenance and repair of motor vehicles from students of transport specialties. The methodology of laboratory work and methodological support is presented. Based on the testing of students, a conclusion was made about the possibility and ef-fectiveness of conducting full-scale laboratory work. Recommendations on laboratory work for students of transport and related specialties are given.