Reviewerly/exHarmony huggingface dataset:
Semantic-based Recommendation Tool for Library Management System using Domain Specific Ontology

Semantic search plays a vital role for improving the output of information retrieval in today’s scenario. Users those who want to find the necessary information always feel comfortable to submit queries based on related keywords to the search engine. But, the major drawback of submitting keyword query is ambiguity. So, we are moving to semantic based search. Many traditional approaches like semantic search depending on ontology encourages user to type a formal language query. Most of the novice users are not aware of formal query languages. To resolve the above drawback and enhance the retrieval effectiveness, a semantic based recommendation tool using domain specific ontology is proposed. And also to solve the limitations of usability, a query interface has to be provided to the users in which the users can enter the natural language query. To implement this semantic based recommendation tool, a domain-specific ontology is used through which accurate search results can be achieved. This Query Recommendation tool is proposed for Library Management System which uses Library Ontology for Query Recommendation. This tool compares the input query given by the user related to Library with the Library ontology and other possible queries which are related to the user query are generated from the ontology based on different entities and relationship. The queries which are extracted from the ontology using entities and properties along with query log are recommended alternative to the user’s initial query. Since, the queries are extracted based on the semantics by which the concepts related to the user query are revealed, more relevant information is retrieved which leads to user satisfaction.
Formal Modeling of Online-Based Voting

In this paper, we modeled formally an online voting system. Using Alloy Analyzer, we focused on modeling major static and dynamic behaviours on online voting system.
Gramatical error analysis and error of vocabulary in writing speech with theme ‘Sumpah Pemuda’ class IX students in SMP Bekasi

The purpose of this study is to analyze the grammatical error of the affixation process inthe text of speech with the theme Sumpah Pemuda of junior high school class IX Bekasi is on theuse of dominant perfiks calculation percentage of 30% on errors in the use of perfiks se-. ke-, di-,ber-, mem-, meng-, me-, per-,Grammatical error of affixation process in speech texts with the theme'Sumpah Pemuda’ of junior high school class IX Bekasi, ie the use of infix does not occur ascalculated in percentage 0%. Writing in the text of the speech with the theme ‘Sumpah Pemuda’ ofjunior high school class IX Bekasi, namely on the suffix an-.yang reached 3.33%. Based on thecalculation, the vocabulary error in writing the text of the speech with the theme ‘Sumpah Pemuda’of 216.6%. the errors that often arise in the writing of the text of the speech with the theme SumpahPemuda' is the unwillingness and effectiveness of the word on the speech writing with the themeSumpah Pemuda’.
Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT

We propose a method to automate the detection of signal disturbance for a given unsafe property. To incorporate a signal disturbance, we introduce an auxiliary variable, called a cushion variable, for each signal variable to store a value altered by the disturbance that causes unintended state transitions. The signal disturbance is defined to negate the equalities between signal variables and their cushion variables. We develop a method to efficiently detect the signal disturbance by using a weighted partial maximum satisfiability modulo theories (Max-SMT) technique as a set of variables altered by faults resulting in an undesirable condition. By assigning the weights properly to the equations, we control the derivation of signal disturbance patterns with the required property. We present an experimental application of our method to a simplified cruise control system as a practical case study in two well-known methods of safety analysis, namely system theoretic process analysis (STPA) and fault tree analysis (FTA), for the automatic detection of time-series signal disturbances.
Compression Techniques: Key to Effective Data Transmission

In the digital world today, data is growing tremendously. The onus lies on the network to compute, process, transfer and store this data. There is a direct proportional relationship between the size of data to the efficiency of a given system. The major challenge that systems face today is the size of data thereby the vision of these systems is to compress the data to its maximum so that the storage space, processing time is reduced thereby making the system effective. As DC ideas result to viable usage of accessible storage space and effective transfer speed, various methodologies were created in a few angles. An itemized overview on many existing DC strategies is expressed to address the present necessities in lieu of the information quality, coding plans and applications in request to break down how DC strategies and its applications have advanced a similar investigation is performed to recognize the commitment of inspected procedures as far as their qualities, fundamental ideas, exploratory variables and constraints.
Design of the Designated Disinfection Patrol Vehicle in Residential Area Based on STM32

research-article Design of the Designated Disinfection Patrol Vehicle in Residential Area Based on STM32 Share on Authors: Meilian Zhao Qingdao Huanghai University, China Qingdao Huanghai University, ChinaSearch about this author , Peixue Liu Qingdao Huanghai University, China Qingdao Huanghai University, ChinaSearch about this author , Yujie Chen Qingdao Huanghai University, China Qingdao Huanghai University, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 208–211https://doi.org/10.1145/3495018.3495054Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
The Impact of Mobile-Assisted Language Learning (MALL) in Developing the Listening Skill: A Case of Students at Dubai Men’s College, the United Arab Emirates

Mobile technologies are one of the fastest-growing technologies in education. They offer an appealing opportunity to access multiple sources of information anytime and anywhere. Students who join Dubai Men’s College in the Foundations program suffer from accumulative weakness in the language skills in general and in the listening skill in particular. The study aimed to confirm the positive impact of Mobile-Assisted Language Learning (MALL) on English Listening Skills. It attempted to examine the effect of MALL on students’ acquisition of English language Listening Skill at Dubai Men’s College (DBM), the United Arab Emirates. The study also investigated teachers’ perspectives on the effect of MALL on the students’ listening skill. The research question was: To what extent students’ listening skills have in the experimental group developed through the use of MALL compared to the students in the control group? A mixed-method approach composed of qualitative and quantitative data collection and analysis was used to answer this question. 66 students participated in a quasi-experiment of an experimental group, and a control group and 20 teachers participated. The findings indicated that there were statistically significant differences between both groups in favour of the experimental group. The research stressed the benefits of using MALL to improve the students’ listening skills, especially those who seem to be demotivated. Finally, some teachers showed a lot of support for the use of MALL. Additional empirical research should be conducted to increase the generalizability of the findings.
Human Machine Interaction: Virtual Podium for Enhanced Job Search

A career fair is an event that provides employees and employers a simultaneous to meet one another, set up professional contacts, and chat potential job and/or placement openings. Many companies from a mixture of industries attend, and there are both general and specialized career fair events. There are many progressive reasons to take the time to prepare for and attend a career fair. Networking with employers is eminent while organizing a job fair. Career fairs are a free resource for you to realize which employers are hiring and interested in your skill set in a cost-effective, efficient manner. Jobs Fairs aim to give people the chance to explore employment opportunities in their local community. A virtual career fair is an online proceeding where employers and job seekers meet each other in a virtual environment, using chat rooms, teleconferencing, webcasts, webinars and/or email to exchange information about job opportunities. In today's digital world, it's only natural that the solution would also be a digital one. CV Capture apps are the recruiters' grievances solved. With this new technology, recruiters can digitally capture and store candidate resumes in a matter of seconds. Relatively new trends are the so-called online job fairs or virtual career fairs. The concept is the same as with traditional career fairs, but all interaction occurs on an online platform specifically designed for the purpose.
The Syllable-based Phonological Neighborhood Networks of Korean Words

This study analyzed the syllable-based phonological neighborhood networks (PNNs) of Korean words. The network-theoretic representation of the lexicon has provided new insights on cross-linguistic and language particular factors in the composition of the phonological lexicon (Vitevitch, 2008; Shoemark et al., 2016, among others). This study draws from the literature the notion of phonological similarity as a network feature, but, unlike previous phonemic approaches, it assumes syllables as the unit of phonological similarity (Mehler et al., 1981; Kwon et al., 2006, 2011). We collected 83,881 polysyllabic words from a Korean corpus. According to the various network measurements on them, the syllable-based PNNs were similar to conventional phonemic-based PNNs in satisfying requirements for small-world networks, being influenced by the lexicon size and having a high value of assortativity by degree. However, they also showed different characteristics from phoneme-based PNNs: syllable-based PNNs had larger giant clusters, average degrees, and cluster coefficients, and they showed smaller values of the average shortest path length. The insights from the PNN analysis are significant since they can help answer empirical questions of phonological word processing and word acquisition.
A note to our readership and the wider research community from the IJFE editor concerning an instance of plagiarism by Abdelkader Derbali and Ali Lamouchi

International Journal of Finance & EconomicsVolume 26, Issue 1 p. 6-6 EDITORIAL A note to our readership and the wider research community from the IJFE editor concerning an instance of plagiarism by Abdelkader Derbali and Ali Lamouchi First published: 10 February 2021 https://doi.org/10.1002/ijfe.2537Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume26, Issue1January 2021Pages 6-6 RelatedInformation
16. Symbolic notation in scientific communication: a panorama

In different branches of scientific communication forms of symbolic notation play an important role, e. g. in mathematics, symbolic logic, chemistry, physics, linguistics, astronomy, etc. as well as in some of their historical predecessors like alchemy. This chapter provides an overview of some of the major forms, communicative practices and epistemic functions of systems of symbolic notation, their elements and their uses. The chapter also provides an outlook on aspects of the intertwining of elements of symbolic notation with natural language texts, forms of visualization and diagrammatic devices. In addition, it is shown how the idea of symbolic notation relates to other notions like scientific rigor, formalization, computability and the idea of an ideal language. Further perspectives include desiderata like the use of scientific symbolism in popular science contributions.
The potential of 360-degree Virtual Reality videos to teach water-safety skills to children

This study investigated the potential of Virtual Reality (VR), using 360-degree (360°) videos, as a tool to teach children about water-safety skills. Children (n = 182) aged 10 to 12 years were randomly assigned to learn about water safety using one of three instructional mediums: 360° VR videos, traditional video, or poster. The training was designed to address specific themes that contributed to drowning in coastal environments, allowing children to learn about dangers of rip currents in a relatively safe environment. Overall, 95% showed improved knowledge of water safety after participating in the water-safety workshop and retained their knowledge during the subsequent tests both one and eight weeks later. No difference was found in the learning outcomes obtained across the three mediums; however, participants in the 360° VR medium reported higher levels of interest and enjoyment than participants using the other two mediums (91% of students in the 360° VR video group found the activity engaging versus 61% for traditional video and 51% for the poster). Teacher feedback also indicated that 360° VR videos are a useful, engaging, and effective method of learning. Overall, we found support for the hypothesis that 360° VR videos are a useful tool to teach targeted skills, and that using 360° VR videos is more motivating and engaging than using traditional learning methods. We also found evidence to support the hypothesis that 360° VR videos are an effective tool for self-directed learning.
Adaptive Kalman Filter for Linear Systems with Additive and Multiplicative Noises

This manuscript investigates adaptive Kalman filter problem of of linear systems with multiplicative and additive noises. The main contributions are stated in two aspects. Firstly, compared with the estimation problem of linear systems with additive noises, we propose an algorithm that is applicable to the linear systems with both additive and multiplicative noises. To solve the technical issue raised by the multiplicative noise, a variational Bayesian approach is proposed. Moreover, the proposed approach is capable of estimating the multiplicative and additive measurement noise covariances as a whole, while the existing algorithms often operate in a separate way. Secondly, in contrast with existing literature, where the covariance of the multiplicative noise is assumed to be fixed and known, we focus on the situation that the covariances of both additive and multiplicative noises are time-varying and unknown. Towards this end, a novel adaptive Kalman filter is proposed to jointly estimate the covariances of multiplicative and additive noises based on projection formula and a VB approach.
administrasi sarana dan prasarana

administration of educational facilities and infrastructure are all components that directly or indirectly to achieve educational goals. The role of the teacher in the administration of school infrastructure facilities: involved in planning the procurement of teaching aids, involved in the use and maintenance of teaching aids used by teachers, supervision in the use of practical tools by students. Administrative activities in the field of educational facilities and infrastructure include; planning, procurement, inventory, distribution, utilization and maintenance, deletion, and supervision of educational facilities and infrastructure.
Student Computer and Digital Forensics Educational Opportunities Program (DOJ)

Federal Grants & ContractsVolume 43, Issue 12 p. 6-6 Grant Alerts Student Computer and Digital Forensics Educational Opportunities Program (DOJ) First published: 14 May 2019 https://doi.org/10.1002/fgc.30448Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume43, Issue1216 May 2019Pages 6-6 RelatedInformation
A Neural Network for Pattern Classification using Fuzzy Set Theory

The conventional algorithms related to the Artificial Neural Networks (ANN) have some innate shortcomings, similar to the probability of categorizing in native maximum outcome, which possess reduced speed in the learning procedure, thereby contributing to the failure in seeing a productive cell arrangement. To overcome this lacking factor, this given paper proposes a Neural Network Classifier (NNC) built combining the features of the Beetle Antennae Search (BAS) formula, termed BASNNC and Fuzzy Set Theory, which is a research and analysis proposal that can deal with problems relating to inconclusive, subjective and vague judgments. To enhance the weights of the NNC, the BAS formula is used. BASNNC consists of a three-layer structure- an input layer, a hidden layer and an output layer. The aim is to develop novel neural network that combines the significant features of Neural Network and the Fuzzy Set Theory into a common network. This process aims to get the efficient result while eliminating the errors. The objective will be to develop the system that achieves high accuracy results with the computational complexity, using the pattern classification. A pattern can be viewed physically or mathematically by the application of algorithms. To find results for a given set of observations, pattern classification is used. Quite differing from the normal technique employing the concept of gradient descent, the differences between the hidden and the output layers area are enhanced by the BAS formula, that successfully improves the process and gets the desired results. The domain used in the procedure is Artificial Intelligence (AI).
Effects of aseismic ridge subduction on geochemistry of frontal arc magmas

Aseismic ridge subduction is considered to exert major controls on volcanic activity, formation of porphyry Cu--Au deposits and the generation of juvenile Earth's crust.Yet, there are almost no studies that have addressed in a systematic way the effects of this process on the geochemistry of arc magmas.Here we explore the role of the subducted aseismic Carnegie ridge on modulating frontal arc magma chemistry in the Ecuadorian-southernmost Colombian frontal arc.We show the occurrence of symmetric changes of several geochemical indices (Th, Nd, Sm, Nb, Th/La, Ba/Th) and evolutionary paths (Na2O--SiO2 correlations) in frontal volcanic arc rocks with respect to the equatorial latitude and thus to the projection of the crest of the subducting Carnegie ridge at the frontal arc.We explore the systematic along--arc changes of these geochemical indices through geochemical modelling using a Monte Carlo approach, and conclude that the trends are primarily controlled by intracrustal processes.In particular we argue that magmatic systems associated with the central part of the Ecuadorian volcanic arc evolve, through hot zone type processes such as fractionation, partial melting and mixing, at average greater depths than those in the northern and southern sides.We speculate that this is due to a systematic latitudinal change in the crustal stress regime within the overriding plate induced by the subduction of the Carnegie ridge.
Motion classification based on grasping features and its use for remote control

In teleoperation of a robotic hand, the difference in kinematic structure from that of a human hand is a major issue. In this paper, we solve this problem by transforming the operator’s hand shape data into low dimensional latent variables and extracting the essential features of the grasp. The latent variables are calculated by GPLVM, and the mapping between the joint angles and latent variables is trained by GMM and GMR. The effectiveness of this method was verified by experiments.
Accurate Information Extraction from Customer Comments Posted Online

Customer comments form an integral part for identification of failures and success of a product. Buying patterns of a customer greatly depends on the pattern of comments posted online. Online review/comments can be broadly classified into positive, negative and neutral. Many tools available in market can be used for their classification. However, there are various flaws in classifying methods that can tweak the result of these comments such as “Unidentified/Hidden information in neutral comments”, “Wrong keyword extraction while splitting words”, “fake comments based on frequency of duplicate comment or reviewer”. This paper addresses this problem based on online product comments posted on Amazon website and proposes an ideal flow chart and algorithm to address these problems.