Reviewerly/exHarmony huggingface dataset:
A Human-Centered Approach to Designing Gestures for Natural User Interfaces

As technology matures, human-computer interfaces have changed to meet the needs of interacting with more complex systems in user-friendly ways. Gesture-based interfaces, a type of natural user interface (NUI), allow users to use their bodies to interact with computers or virtual/augmented reality (VR/AR) and offer a more natural and intuitive user experience; however, most gesture-based commands have been developed not by considering the user, but rather what is easiest for a computer to interpret. This methodology may lead to users having increased mental effort and low perceived system usability. In two studies, we took a user-centered approach to determine natural gestures for a set of common computer actions, such as selecting an object and moving an object. In Study One, participants performed gestures for a list of actions, and in Study Two a different group of participants rated how natural they found the gestures produced in Study One compared to a set of arbitrary gestures. Overall, participants produced very similar gestures for the actions in Study One, and these gestures were rated as most natural in Study Two. Taken together, this research provides a user-centered methodology for determining natural gestures and building a vocabulary of gestures for system designers to use when developing gesture-based NUIs.
INTRODUCTION TO CRYPTOGRAPHY AND NETWORK SECURITY

Abstract :In today’s information age, communication play a very  important role which  help in growth of new technologies. So security is an essential parameter to be considered. A mechanism is therefore needed to secure the information that is sent. The process of transforming the original information into an unreadable format is known as encryption.  The  process of  again  converting  the unreadable format  in  to the original  information  is  known  as decryption. The study of both encryption and decryption is known as cryptography. This paper focuses on analyzing different types of cryptography, concept of encryption and decryption, a brief introduction to cryptography techniques. If we are taking about security of information then following  services come in mind i.e. Confidentiality  (privacy  of information), Authentication, Integrity (has not been altered) .This paper provides a detailed description of all these cryptography techniques and a public key cryptography algorithm RSA.
Visual Compiler: Towards Translating Digital UI Design Draft to Front-End Code Automatically

One assignment of a front-end engineer is to transform the User Interface (UI) design drafts to arrangements with program compatibilities. To furnish the customer requirement, engineers usually need to consider various factors for different terminal devices such as a wide range of screen sizes. Such process usually contains a lot of tedious work and much of them is repetitive which can be done by machine. In this paper, we propose Visual Compiler, a tool trying to bridge the gap between UI design draft and front-end code. We combine expert heuristics and techniques in computer vision to improve the readability and usability of generated code, making the generation process more intelligently. In practice, users just need to input the design drafts obtained from UI designers, then our method can produce clean and well-organized front-end code. Compared with existing approaches, Visual Compiler is able to reduce the size of output files by approximately 80% while maintaining the same appearance as in the original draft. We hope our tool can help UI designers and front-end developers collaborate more efficiently.
Optimized Design of Cone-hole Wheel Type Seed Metering Device Based on EDEM

Abstract:An outer grooved wheel type seeding device was designed. In order to optimize the seeding stability of the seed metering device, the EDEM software was used to numerically simulate the seeding process. Taking the rotation speed, groove width and groove depth as test factors, the variation coefficient of row stability was used as the test index, and the three-factor quadratic rotation orthogonal combination simulation test was carried out. The results show that when the rotation speed of the seeding wheel is 38 rpm, the groove width is 6 mm, and the groove depth is 6.1 mm, the coefficient of variation of the seeding plant stability can be less than 10%.
A Tactile Interface to Steer Power Wheelchairs for People Suffering from Neuromuscular Diseases

For many people around the world, electric wheelchairs remain a practical means of regaining mobility. Unfortunately, some are not able to use power wheelchairs because of difficulties using a standard joystick. People suffering from neuromuscular diseases who experience a loss in muscular strength can find it difficult to use a standard joystick. In this paper, we explore an alternative steering device in the form of a tactile interface on smartphones. We outline some design choices that are meant to alleviate some of the challenges that may rise with respect to users with neuromuscular diseases. We then detail a study that investigates the usability of this interface over two phases. In the first one, 11 users with neuromuscular diseases tried this type of steering in free learning sessions. 4 among them took part in the second phase where we tested their kinematic performance between the use of the tactile steering interface and the joystick. The paper presents data and observations from both phases and tries to detect tendencies and draw hypotheses that can guide further in-depth clinical testing of the tactile steering for wheelchair users suffering from neuromuscular diseases. Overall, the user performance with the tactile interface was close to or the same as their performance with the joystick. In addition, the users reported a lesser level of physical demand of the tactile steering over the joystick and some of them even preferred the former over the latter.
Using machine learning for control systems in transforming environments

The development of computational power is constantly on the rise and makes for new possibilities in a lot of areas. Two of the areas that has made great progress thanks to this development are cont ...
On Building an Interpretable Topic Modeling Approach for the Urdu Language

This research is an endeavor to combine deep-learning-based language modeling with classical topic modeling techniques to produce interpretable topics for a given set of documents in Urdu, a low resource language. The existing topic modeling techniques produce a collection of words, often un-interpretable, as suggested topics without integrat-ing them into a semantically correct phrase/sentence. The proposed approach would first build an accurate Part of Speech (POS) tagger for the Urdu Language using a publicly available corpus of many million sentences. Using semanti-cally rich feature extraction approaches including Word2Vec and BERT, the proposed approach, in the next step, would experiment with different clus-tering and topic modeling techniques to produce a list of potential topics for a given set of documents. Finally, this list of topics would be sent to a labeler module to produce syntactically correct phrases that will represent interpretable topics.
Fault Tolerance Mechanism of a Distributed System for Marine Communication Network

Sun, J., 2020. Fault tolerance mechanism of distributed system for marine communication network. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 605–608. Coconut Creek (Florida), ISSN 0749-0208.When the communication network fails or the signal is interrupted, the distributed fault-tolerant system can continue to complete the communication task, which is needed to improve the fault-tolerant performance of the distributed system. Therefore, the key technologies of fault tolerance need to be studied, including the distributed fault-tolerant communication network simulation platform, the communication-network information-storage data structure, the communication protocol between communication network nodes, and the fault-tolerant algorithm of distributed communication network system. In the marine environment, the fleet exchanges data through wireless networks to understand the situation of the fleet-detection area, which can share the processing and calculation tasks. However, the marine environment is complex and changeable, which can cause great interference to the wireless signal, such as sea and cloud-rain clutter. These marine environments will cause the network communication signals to be greatly disturbed, which makes the distributed system unable to guarantee the communication interconnection between each node at any time. Therefore, a data-sharing and distributed-system platform needs to be built, which will design a reasonable system fault-tolerance mechanism. Through the fault-tolerance mechanism of the communication network system, the problem of frequent-node exits can be solved. By optimizing the fault-tolerant strategy of distributed architecture, the system's disaster resistance can be improved. In this research, a fault-tolerance mechanism for a distributed system was designed, which is more suitable for node election.
Fuzzy Models for Implementation of the Decision-Making Module in Networked Didactic Prototypes

Representation and evaluation of knowledge are key concepts for the management of the domain module within an intelligent tutoring system. However, in order to develop more efficient education tools, not only should knowledge representation be considered as a base. One should go in depth into something more complex known as the representation of dependency between key knowledge concepts in a given domain, in such a way that the model is more robust and can be used to make decisions in didactic electronic devices, whose operation is similar to that of an intelligent tutoring system; which are connected, by the moment, to a local network, and later, the objective is to implement the concept of the internet of things in educational classrooms. The representation of dependency between key knowledge concepts in a given domain is supported by different pedagogical theories such as the Cognitive Load Theory (CLT), which computationally can be modeled through Fuzzy Cognitive Maps (FCM). FCMs help in the decision making process and allow us to represent such dependencies. The decision-making process is that the system can determine the types of problems that the student must solve, so that he can understand each of the topics of the domain. In this paper the results of the combination of fuzzy models (inference models and FCM) to identify cognitive skills and types of problems that help the student reach the appropriate levels in the domain of algebra topics and the differential calculus, are presented. The objective is to implement fuzzy models in electronic devices based on tangible interfaces. This tool is in an initial testing phase with students. Therefore, the results presented in this paper are experimental and are related, execution-wise, to map efficiency.
Insights for touchscreen interface guidelines for medical devices: A case study of a usability test

The purpose of the paper is to share the learning from a usability test of a medical device. We discuss about inferences made from a usability test of a medical device with a touchscreen UI. A thematic analysis was done on a 200+ page report based on observation during the usability test with 3 different user groups performing various touchscreen-related tasks on a medical device. Based on this analysis, we derive a set of inferences for touchscreen interface design. We see a clear need to consider factors outside the touchscreen itself influencing Graphic User Interface design for medical devices.
Grammatical Inference of Semantic Components in Dialogues

The construction of a model that recognizes semantic components of spontaneous dialogues about telephonic queries of schedules and prices of long distance train tickets is reported in this paper. Grammatical inference techniques were used to infer an automaton. The accuracy of the automaton recognizing sequences of semantic components is 96.75.
The Evolution of Software Configuration Management

Software Configuration Management (SCM) is a discipline in software engineering for managing changes to software products using standard processes and tools.This article presents the evolution of SCM since its inception, highlighting the components, application to other areas, change management and software quality.Research and development in SCM are highly motivated by the problems at hand in software development.SCM process and activities are sound, guided by international standards and industry best practice.Commercial and proprietary tools are aplenty, and the underlying techniques are no longer confined to SCM.SCM has been applied to other areas since the turn of the century and change management has become a tool-oriented process, rather than a management-oriented process.The role of human in SCM has yet to be studied extensively compared to other areas in software engineering.Software quality is associated with defects and quality factors are measured differently based on projects and metrics.
A New Lexical Resource for Evaluating Polarity in Spanish Verbal Phrases

Nowadays, a very small number of lexical resources that can be employed in the particular task of determining polarity for Spanish verbal phrases exist in literature and linguistic resource databases. Therefore, it is needed to increase efforts towards the construction of this kind of lexical resources since they will have a very positive impact when creating computational modules for the automatic understanding of Spanish language. In this paper, we present a new manual annotated corpus for the news genre, made up of sentences contain ingeach a verbal phrase. The supervised corpus has been annotated with respect to polarity and the verbal phrase compositionality or non-compositionality, thus leading to have a very interesting lexical resource for identify ingpolarity in Spanish verbal phrases, so as to determine whether or not a given verbal phrase has a figurative or literal meaning. In addition, we present a lexicon of verbal phrases which indicates the estimate of it to be compositional.
Expanding the Feature Space of Deep Neural Networks for Sentiment Classification

Deep learning has made remarkable advances in many application domains, demonstrating its robustness in various data mining tasks.However, it is often overlooked that external information sources can explicitly be included in deep learning models to expand their feature space for improved performance, especially when large datasets are not available.This paper presents a neural network architecture for multi-class sentiment analysis, incorporating semantic information from a sentiment lexicon.The model was evaluated on a small dataset of Japanese hotel reviews, with results indicating that integrating sentiment polarities into neural networks can increase classification accuracy.
THE COMPARATIVE ANALYSIS OF THE CULTURAL, COMMON-CULTURAL, SOCIOCULTURAL, CULTUROLOGICAL, MULTICULTURAL, CROSS-CULTURAL COMPETENCIES DEFINITIONS

Cultural diversity and cultural pluralism are integral components of a competent approach to training a qualified specialist in the modern educational process that allows effective interaction in the process of the cross- and intercultural communication. In this context, active expansion received close in meaning, but different in their essence and purpose concepts, namely: common cultural, sociocultural, culturological, multicultural, cross-cultural and cultural competencies. The article presents a comparative analysis of these terms, taking into account aspects crucial for their differentiation and important for the contextual application. To synthesize the scientific thought of the work, the recent years' sources in the field of competent interrelations of individuals and groups of different cultures were thoroughly analyzed, the said concepts of competence were separated from each other depending on the sphere of application. Each of the competencies identifies the knowledge, skills and experience, as well as the personal characteristics of an individual, the acquisition and development of which are essential for the formation of one or another competence of modern specialist in the light of globalization processes. It should be emphasized that cultural competence comes in the form of meta- competence as a conditionally sufficient measure of socialization and interculturalism of an individual. This allows them to independently understand and freely use at their discretion all the acquired competencies and skills concerning socio-cultural and social, institutional and conventional norms and regulators of behaviour in the process of mobile social communication, including in different languages. Identifying the different aspects of the mentioned competencies will allow us to differentiate the stated terms in the context of the educational process reformation in Ukraine and the qualified training of future specialists. Summarizing the results of the study, the article highlights the distinctive features of competencies, and the meaningful definitions emphasize their essence: Common cultural competence is based on the knowledge of the characteristics of the society culture, implies the possession of communication skills adopted in a particular society and as a key competence includes sociocultural and culturological competencies. Interpersonal interaction with the representatives of another culture reflects a level of intercultural competence, also called "intercultural and communicative competence". Multicultural competence allows finding those behaviours that promote mutual trust and effective interethnic interaction, eliminate intolerant attitude towards people of different skin colour, different language, culture or other values. Cross-Cultural competence implies an awareness of the differences (ideological, ceremonial, cult or traditional ones) inherent in a particular culture.
&amp;lt;i&amp;gt;A low-cost stem water potential monitoring method using proximate sensor and scikit-learn classification algorithms&amp;lt;/i&amp;gt;

<sc>Abstract.</sc> Stem water potential is currently one of the most discriminating indicators for water deficit. It has been commonly used in agricultural applications, such as grapevine management in both non-irrigated and irrigated vineyards, almond water stress monitoring, and fruit size estimation. Traditionally, to determine the stem water potential of a tree, midday stem water potential is measured by using a pressure chamber. By measuring the pressure that it takes to make the water appear at the petiole, the pressure chamber can tell how much tension the leaf is experiencing. A higher value of pressure means a higher degree of water stress. However, this method involves a hazardous level of pressure. The operator must pay attention to safety precautions. Before sampling, the operator usually needs to cover a leaf for about ten minutes to stop the process of the water loss of leaves, which is time consuming if there are many samples in a field. The labor cost can also be a consideration. In this study, the authors proposed a new low-cost proximate radio frequency tridimensional sensor Walabot and machine learning classification algorithms. Walnut leaves from trees of different stem water potential were placed on this sensor to test if the Walabot can detect small changes in the water stress levels. Hypothetically, waveforms generated by different signals may be useful to classify stem water potential levels. Scikit-learn classification algorithms, such as Neural Networks, Random forest, Adam optimizer, and Decision tree were applied for data processing. Results showed that the Walabot predicted stem water potentials with an accuracy of 78% using the Decision Tree classifier so far. These findings highlight the powerful potential and the outstanding challenges in applying Walabot as a proximate sensor of water status.
ANALISIS LITERASI INFORMASI PADA KETERAMPILAN MENULIS KRITIS DAN ILMIAH MAHASISWA PENDIDIKAN BAHASA INDONESIA UHKBPNP

This study aims to describe the information literacy ability of Indonesian language education students at the University of HKBP Nommensen Pematangsiantar on the subject of critical and scientific writing skills. This study analyzes the information literacy ability using the Seven Pillars Model created by the Standing Conferences of National and University Libraries (SCONUL) which consists of: (1) Identify (understand information needs, (2) Scope (determine the type of information, characteristics, challenges), (3) Plan (determine the search strategy), (4) Gather (do a search, access information), (5) Evaluate (Relevance, accuracy, comparison, (6) Manage (manage information, quote, compile a bibliography, know ethics using information , and (7) present (compile information products in the right form and present) .This type of research uses descriptive research.The method used in this study is a qualitative research method. The data collection techniques in this study are interviews and observation.Keywords: writing, critical and scientific, information literacy
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)

When an agent has limited information on its environment, the suboptimality of an RL algorithm can be decomposed into the sum of two terms: a term related to an asymptotic bias (suboptimality with unlimited data) and a term due to overfitting (additional suboptimality due to limited data). In the context of reinforcement learning with partial observability, this paper provides an analysis of the tradeoff between these two error sources. In particular, our theoretical analysis formally characterizes how a smaller state representation increases the asymptotic bias while decreasing the risk of overfitting.
A Survey on Information Security in Cloud Computing

Cloud computing is a type of Internet-based computing that provides different services, is a way to increase capacity or add capabilities dynamically without investing in new infrastructure, training new staff or licensing new software. Cloud computing has gained popularity by providing easy and cost-effective access to IT (Information Technology). However, although it expands existing IT capabilities and although it has gone from being a promising business concept, to one of the fast growing segments; as more and more information about individuals and companies is placed in the cloud, concerns begin to grow about how secure the environment is. Security is one of the main problems that reduces the growth of cloud computing and the complications with privacy and data protection continue to affect the market. Users of cloud services should be vigilant to understand the risks of data breaches in this new environment. This article presents a survey of the different security risks that represent a threat to the cloud due to the nature of the service delivery models of a cloud computing system. On the other hand, works carried out with respect to security are also explored, such as Vigenère, Playfair, Hill and Vernan encryption, proxy re-encryption and Railfence cipher. With this work we hope to provide useful information about cloud computing security.