Reviewerly/exHarmony huggingface dataset:
Digital Learning Platform Services

This paper analyzes digital technologies in the modern educational process, offers training and control services, formed with the help of the Learning Management System (LMS), which allows one to organize an active, creative and social training of modern specialists, in accordance with the program of “Digital economy of the Russian Federation”. ”. The paper analyzes modern learning technologies and existing services of digital platforms. The capabilities of digital platforms are demonstrated on the basis of LMS Blackboard. Training and control measures are offered which will allow forming and evaluating the specialists’ competencies. The authors have developed a model “Business game” that is implemented based on the LMS Blackboard and with the help of software complex “SMARTlabwork”. The results of the analysis of parameters of quality of performance of various training and control actions received by means of methods of the intellectual analysis (Data Mining) are presented. Essential signs of control measures and competence indicators are recommended.
Peran Film Animasi Nussa dan Rara Dalam Meningkatkan Pemahaman Tentang Ajaran Islam Pada Pelajar SD

Education is very necessary, in children especially with. islamic education, technology development expected to bring influence positive for children who by presenting entertainment or impressions, educate as animated show entitled islamic, on youtube including nussa. rara and This study aims to to see how the role of animated film nussa rara and channel on youtube in increasing understanding about islamic teachings on a stone, students of elementary schools with the riau with qualitative research. The determination of sample used is purpose of sampling. Based on the research done respondents got teaching or knowledge on the movie. Through his messages, every episode of Nussa and Rara always teaches something about daily habits or activities based on Islamic teachings, this also adds to their knowledge of daily habits or activities carried out according to Islamic teachings. Keywords: Film, Animation, Youtube, Nussa and Rara
Design of Shell and Tube Heat Exchanger with Double Passes

The exchange of heat is one of the most important processes in the chemical industry. The shell and tube heat exchanger is the major equipment used to transfer heat from one medium to another. This research work on the Computer-Aided Design (CAD) of shell and tube heat exchangers with double passes aims to provide an easy way to design the shell and tube heat exchanger. A case study question was stated and all the necessary calculations in the thermal design were carried out using the Kern’s method of heat exchanger design. The thermal design was then used as a guide to the CAD using computer codes. The computer software program, Visual Basic NET (VB.NET) was used because of its numerous advantages over the other software. The result gotten from the computer-aided design was compared to the result from the thermal design. The computer-aided design software was equally used to test other problems on shell and tube heat exchanger. The computer-aided design was found to be more accurate, quicker and efficient and, it is recommended for use in companies and industries.
Who Cares? …But first, what is the who, and what is care?

What is Care?A word, a concept or a myth?In this paper we explore some of the key formulations of Care that should be considered if Care is to become instrumentalised in design.Primarily, we revisit that meaning of Care which could be of most value to design.After all, Care, at least to some, is the essence of what it means to be human.The goal of this paper is to prompt reconsideration of the many differing notions of Care and to stop for a moment to investigate one formulation of Care that contributes a way of clearly addressing the who in Who Cares?(WE human beings) and through this; to establish an alternative platform for 'responseible' future design; design that is based on Care, centred in Care and fundamentally is Care in action.We ask, Who Cares?…all people do, but how might design care?
The Production-oriented Approach to Teaching English Writing in Chinese Junior High Schools

With the acceleration of globalization, English communicative competence has become a necessary ability in modern society. The teaching of English writing in junior high schools not only improves students’ comprehensive language ability, but also lays a favorable foundation for their future English learning. Writing classes should highlight the importance of writing. But in fact, students’ actual output is neglected. The writing classes exist in name only. Based on the above questions, this research attempts to apply the Production-Oriented Approach (POA) in junior high school English writing teaching which is proposed by Chinese scholar Wen Qiufang. This research aims to find the effectiveness of POA in English writing teaching of Chinese junior high schools. We adopt the experimental research approaches, using classroom observation, interviews and tests to collect research data. Taking a class of 50 students in Grade 8 of junior high school as the research subjects, the researcher carries out the production-oriented English teaching experiment for one semester. It has been found: (1) Compared with traditional English instructions, POA can improve the English writing quality and comprehensive language using ability of junior high school students. (2) Both teachers and students believe that POA can stimulate students’ positive emotional experience, and students have more opportunities to use language in class. Through “enabling”, the quality of students’ language output has been significantly improved.
A New Reinforcement Learning-Based Framework for Unbiased Autonomous Software Systems

From the newsfeeds, the products and services advertised to us, job screening, risk analysis, facial recognition and to the results we get through search engines, human-curated algorithms sitting behind the scenes, are making these decisions. These algorithms sometimes display the choices of those who authored them. Algorithmic bias has always been a minor issue since the advent of computer software, not until now that computer algorithms are deeply rooted in our daily lives through smart devices, intelligent software solutions and Autonomous System. We are at the edge of leaving our critical decisions in the hands of these intelligent creations of ours. Whereas, the biases in the algorithms used to develop them and the biases in the data they were trained with are obviously still in existence. This research is aimed at adapting the existing bias detection mechanism to ensure fairness in the decision-making process of autonomous software systems. The final solution is in the form of a software module which provides access for auditing decision process of machine learning powered autonomous software systems. This, in turn, ensures fairness in the decision process of autonomous software systems.
Foreground Detection and Segmentation in RGB-D Images

Depth information available in RGB-D images facilitate many computer vision tasks. As a newly emerging and significant topic in the computer vision community, foreground detection and segmentation for RGB-D images have gained a lot of research interest in the past years. In this chapter, an overview of some foreground-based tasks in RGB-D images is provided, including saliency detection, co-saliency detection, foreground segmentation, and co-segmentation. We aim at providing comprehensive literature of the introduction, summaries, and challenges in these areas. We expect this review to be beneficial to the researchers in this field and hopefully, encourage more future works in this direction.
NMF-Based Privacy-Preserving Collaborative Filtering on Cloud Computing

The security of user personal information on cloud computing is an important issue for the recommendation system. In order to provide high quality recommendation services, privacy of user is often obtained by untrusted recommendation systems. At the same time, malicious attacks often use the recommendation results to try to guess the private data of user. This paper proposes a hybrid algorithm based on NMF and random perturbation technology, which implements the recommendation system and solves the protection problem of user privacy data in the recommendation process on cloud computing. Compared with the privacy protection algorithm of SVD, the elements of the matrix after the decomposition of the new algorithm are non-negative elements, avoiding the meaninglessness of negative numbers in the matrix formed by texts, images, etc., and it has a good explanation for the local characteristics of things. Experiments show that the new algorithm can produce recommendation results with certain accuracy under the premise of protecting users' personal privacy on cloud computing.
How to Avoid Mistakes in Software Development for Unmanned Vehicles

The purpose of this paper is to propose design and development methodology, in terms of robustness, of unmanned vehicles (UV) software development, which minimizes the risk of software failure in both experimental and final solutions. The most common dangers in UV software development were determined, classified and analysed, on the basis of literature studies, and the author's own experience in software development and in analysis of open-source code. As a conclusion, “good practices” and failure countermeasures were proposed.
Scrutinizing Interlingual and Intralingual Error: Basis for English Writing Program

An error-free written works in expected from every English language teacher.However, writing is one of the most challenging skills in learning second language.In fact, learner's error in second language resulted from the learner's assumptions that second language and native language are formed similarly and from negative transfer within the target language which are known as Interlingual and Intralingual errors respectively (Sari, 2016).In the Philippine setting, the result of the study conducted by Magno (2014) showed that error analysis among Education, major in English students yielded errors in verb tense, structure, punctuation, choice of words, spelling and so on.In line with this, the present study aimed at identifying and classifying the writing errors of the third-year college of education, English major student which will serve as the basis for an intervention program that will hone their writing skills.In the pursue of the study, findings showed that under intralingual error, tense-related errors ranked first with 15.54% followed by fragments with 12.95% and run-on with 11.66% that were caused mainly by negative transfer which ranked first with 49.42% followed by lack of knowledge with 24.32% under interlingual errors.
Effect of ordinal variable transformations on hierarchical clustering results: A case study on the Big Data phenomenon

The aim of the paper is to show some possible transformations of ordinal variables in cluster analysis and discuss their effect on hierarchical clustering results.Although several papers comparing different approaches to clustering objects characterized by ordinal variables have been published, the comparisons are not complete and include also variables other than ordinal variables (e.g.nominal variables).The following possibilities are considered in this paper to capture ordinal variables in clustering: "original" values (from one to the number of categories), standardized values, transformed values based on the range, ranks of the original values (averaged in case of ties), standardized ranks, and transformed ranks based on the range (usually recommended).The results of the complete linkage method obtained by the Manhattan and Euclidean distances for different numbers of clusters are compared.Moreover, these results are compared with the results obtained by the TwoStep algorithm.The case study is based on the answers of 481 respondents concerning the awareness of problems related to the "Big Data Phenomenon" and "New Digital Divide".
A Location Privacy Protection Scheme Based on Hybrid Encryption

Based on hybrid encryption algorithms, this paper presents a novel location privacy protection scheme with the aid of the cloud server. The scheme can effectively protect both the location privacy of the query user and the data privacy of the data service provider in location-based services. Using cloud servers and hybrid encryption algorithms (i.e., AES and Paillier homomorphic encryption), the proposed scheme can greatly reduce the storage cost, and the communication cost of the data service provider.
Verification of a UAV swarm flight simulating the passive inertial emergency obstacle avoidance behavior of a pigeon flock

In this paper, the passive inertial emergency obstacle avoidance behavior of pigeons is studied and applied to the coordinated flight verification of an unmanned aerial vehicle (UAV) swarm.Pigeons in nature dynamically adjust their routes during flight.When they encounter obstacles, emergency behaviors are generated; i.e., they change the current direction passively, get cross obstacles toward the largest gap between obstacles, and thus complete obstacle avoidance.Prior to the flight verification, the design of the UAV swarm system architecture is explained.Further, two scenarios of static emergency obstacle avoidance on the ground and with moving obstacles in the air are set up.The corresponding timing sequence diagrams and flight path diagrams are also given.
Snowball Throwing: An English Learning Method to Improve Vocabulary Mastery and Psychomotor Ability

Vocabulary and psychomotor abilities are two important things in learning English especially for elementary school students. In mastering these two competencies we need a learning strategy that is not only able to explain but also to describe and illustrate. Snowball throwing is a learning method that uses a paper which contains a word that is shaped like a ball. This method is usually used in learning English. This research tries to find out the influence of the snowball throwing method towards students’ vocabulary mastery and psychomotor ability in learning English in the first grade of SD Islam Terpadu Sorong City. The research is quasi-experimental by using randomized pre-post control group design. The subject of this research consists of two groups; experiment and control groups have 27 students in each. There are two instruments in this research; they are the test for English vocabulary and psychomotor ability. The data are examined by using a non-parametric tests such as Mann Whitney U dan Wilcoxon signed ranks. Related to the result of the hypothesis test towards the two paired samples, we can find that the score of English vocabulary mastery (p= 0,000) and psychomotor ability (p=0,016) are significant, where the significance score of experiment group is lower than the critical limit of the research 0,05. So, we can conclude that the snowball throwing method influences significantly towards students’ vocabulary mastery and psychomotor ability at the first grade of SD Islam Terpadu Sorong City. This research shows that snowball throwing method can be used to improve students’ vocabulary mastery and psychomotoric ability in English subject.
Model Checking of WebRTC Peer to Peer System

The establishment of the multimedia session is crucial in the WebRTC architecture before media and data transmission. The preliminary bi-directional flow provides the network with all the information needed in order to control and manage the communication between end-users. This control includes the setup, management, and teardown of a session and the definition, and the modification of multiple features that will be enabled in the ongoing session. This is performed by a mechanism named Signaling. In this work, we will use the formal verification to increase confidence in our SDL model by checking the consistency and reliability of the WebRTC Peer to Peer system. The verification and validation are proved the most efficient tools to avoid errors and defects in the concurrent system designs. Indeed, by using model-checking techniques we will verify if the WebRTC system adheres to standards if it performs the selected functions in the correct manner. To achieve that, we will first translate the SDL model to an intermediate format IF that will be retranslated to a Promela Model. Second, using the SPIN model checker, we will verify the general correctness of the model before checking if the desired properties are satisfied using the Linear Temporal Logic (LTL).
Network-Based Document Clustering Using External Ranking Loss for Network Embedding

Network-based document clustering involves forming clusters of documents based on their significance and relationship strength. This approach can be used with various types of metadata that express the significance of the documents and the relationships among them. In this study, we defined a probabilistic network graph for fine-grained document clustering and developed a probabilistic generative model and calculation method. Furthermore, a novel neural-network-based network embedding learning method was devised that considers the significance of a document based on its rankings with external measures, such as the download counts of relevant files, and reflects the relationship strength between the documents. By considering the significance of a document, reputative documents of clusters can be centralized and shown as representative documents for tasks such as data analysis and data representation. During evaluation tests, the proposed ranking-based network-embedding method performs significantly better on various algorithms, such as the k-means algorithm and common word/phrase-based clustering methods, than the existing network embedding approaches.
Dual Watermarking for Handwritten Document Image Authentication and Copyright Protection for JPEG Compression Attacks

For authentication and copyright protection of handwritten document images, a dual watermarking algorithm that connects the robust watermarking algorithm based on Krawtchouk moments with a fragile watermarking algorithm based on MD5 hash function is presented. Hence, the robust watermarking algorithm is used to guarantee robustness by modifying frequency coefficients in Krawtchouk moments. Thus, this study proposes a fragile watermarking algorithm, which can perceive in time when the protected image is tampered. Experimental results show that the proposed algorithm can be used for copyright protection for JPEG compression attacks and tampering detection of this images.
Fuzzy Logic System for Retrieval of Information in Electronic Libraries

This research represents one of the steps aimed to address one of the most important challenges on the Web and digital libraries, which is compute &amp;nbsp;the rank of the document&amp;rsquo;s, and its importance, and their relevance to the user and to meet their needs for information, and so by taking advantage of the vast potential of logic Fuzzy in dealing with this kind of problems, and provide high flexibility for the user to clarify the issues and areas that interested them.&#x0D; &#x0D; This research is concernd on the design and implementation of a proposal for the information retrieval system, called Fuzzy Information Retrieval System(FZIRS). This system is designed to deal with a huge distributed database on a group of computers (servers) associated with the Intranet network specially designed to work the system, which includes different types and sizes of text files.&#x0D; &#x0D; The proposed system has the ability for mining of data mining from the database and retrieve useful information from them and that meet the user&amp;#39;s needs well.&#x0D; &#x0D; This accomlished &amp;nbsp;through the applying of the proposed algorithms for indexing operations and calculate the rank of documents and generate keywords operations and display the &amp;nbsp;retrival results, which showed high quality when calculating results compared with other Information retrieving algorithms.
Recommender system for personalised travel itinerary

&lt;p class="Body"&gt;A recommender system is an approach to give an appropriate solu-tion to a particular problem. This helps in recognising the pattern or behaviour of a user to suggest future possible likes of the user. Nowa-days people like to travel during their spare time, it has become a rigid task to decide where to go. This paper represents a customised recommender system to help users in destining their itinerary. A model is designed to suggest the best places to visit in Rome. A questionnaire was prepared to get information about users interest during their travel. The model generates the best five places to visit with respect to the choice picked by the user. The top five places for each category will be displayed to the user and the user was asked to pick a starting point for the itinerary. Then the model generates another set off a filtered list of places to enhance their travel experi-ence. It includes displaying the top 5 restaurants to visit during their travel.&lt;/p&gt;
Comparative Analysis between a Photovoltaic System with Two-Axis Solar Tracker and One with a Fixed Base

In this article, the comparative analysis of the stored energies between a photovoltaic system with a two-axis solar tracker, controlled by Arduino with respect to the energy stored by a fixed-base photovoltaic system is done.This with the option of using electrical energy efficiently, since the optimal installation of photovoltaic systems plays an important role in its efficiency.Once the comparative analysis was performed, the performance of the photovoltaic system with solar tracker is determined to be 24.06% higher than the second fixed-base photovoltaic system.The correlational analysis was also carried out for the data collected from the stored energy with respect to time, thus determining that the photovoltaic system with a solar tracker has a low correlation of 0.334, given that in the solar tracker the energy stored without dependence on time or moment when the energy is captured, since, if there is a variation during the day of the direction of the sun's rays, the photovoltaic system will always seek to focus as much as possible on the sun's rays, guaranteeing sustainability in flexible storage of energy; while the fixed-base photovoltaic system has a moderate inverse correlation of -0.489, that is, as the hours of the day pass the orientation of the sun's rays changes, and in the absence of dynamism in the orientation of the solar cells (for be fixedbased), limited energy as the hours of the day increase.Taking these reference results, it is expected to implement photovoltaic system projects with solar tracker in rural areas of Peru that lack electrical services, since it is more efficient than the fixed base photovoltaic system.
A Novel Approach in Low-cost Motion Capture System using Color Descriptor and Stereo Webcam

Animated motion has become crucial in some electronic entertainment business products, such as games, animated movies, and simulations.Making such animated motion is associated with high cost and hard setup requirements.This research proposes a low-cost system for capturing motion using stereo webcam (two webcams placed side by side) and some daily house-grade tools.The system test has been specifically designed for shadow puppet theaters.The setup consists of two identical webcams placed side by side to acquire the depth of a marker by stereo camera triangulation.Image processing is needed to improve object detection and feature matching.Once images are captured from two webcams, they will be inverted and color-filtered to detect the markers and set those markers as features to be matched.Each feature is packed with a unique descriptor based on its color composition.Features in both images are then compared to get their related matches.When matched, their depth and position can be calculated and recorded as a 3D representation that is ready to be processed as motion data.The proposed system is reasonably efficient since we can get an average accuracy of 83.5% using webcams that cost around $7.69.