Reviewerly/exHarmony huggingface dataset:
Age and Gender Detection using OpenCV

In this fast emerging world Artificial Intelligence plays a very vital role in every field of science . Everything is being automated from operating a remote to driving a car using Artificial Intelligence. We show a glimpse of such automated experience with this project. In this project we show how easy it is to detect faces and identify gender along with gender with the help of CNN(Convolutional Neural Networks) and OpenCV. Using these fields of Artificial Intelligence we can reduce the use of hardware components and complexities in this project. Along with CNN and OpenCV we use Adience dataset so that the output is achieved with accurate values in training and validation. For the output to be determined even with multiple parameters we use pre-trained model that is caffee model along with OpenCV. The proposed model can be used in surveillance purposes or in medical purposes.
Library and Learning Resources: LSBU Library Summer of Learning: Lesson: Filtering out Fake News

Supporting students moving from level 4 to level 5 and from level 5 to level 6 of undergraduate study through summer learning activities.
АНАЛИЗ ПОДГОТОВКИ СТУДЕНТОВ К РЕАЛИЗАЦИИ ПРЕЕМСТВЕННОСТИ ДОШКОЛЬНОГО И НАЧАЛЬНОГО МАТЕМАТИЧЕСКОГО ОБРАЗОВАНИЯ

This article discusses the problem of preparing students for the implementation of the continuity of preschool and primary mathematical education. The authors define the philosophical, psychological and pedagogical essence of continuity as a pedagogical phenomenon. Contradictions between the existing theoretical base of professional training of teachers at the University and the lack of developments that determine the success of the implementation of the succession of two stages revealed the problem of forming the readiness of future teachers to implement the succession. The prerequisites for the successful implementation of the continuity of preschool and primary mathematical education were the specially developed creative, methodological and mathematical tasks that created the conditions for the direct inclusion of students in the process of preparing for the implementation of continuity. The indicators and levels of readiness of the future teacher to implement the continuity of preschool and primary mathematics education, as well as the results of experimental work are presented.
Enabling Science Fiction

Patent law promotes innovation by giving inventors 20-year-long exclusive rights to their inventions. To be patented, however, an invention must be “enabled,” meaning the inventor must describe it in enough detail to teach others how to make and use the invention at the time the patent is filed. When inventions are not enabled, like a perpetual motion machine or a time travel device, they are derided as “mere science fiction”—products of the human mind, or the daydreams of armchair scientists, that are not suitable for the patent system. This Article argues that, in fact, the literary genre of science fiction has its own unique—albeit far laxer—enablement requirement. Since the genre’s origins, fans have demanded that the inventions depicted in science fiction meet a minimum standard of scientific plausibility. Otherwise, the material is denigrated as lazy hand-waving or, worse, “mere fantasy.” Taking this insight further, the Article argues that, just as patents positively affect the progress of science and technology by teaching others how to make and use real inventions, so too can science fiction, by stimulating scientists’ imagination about what sorts of technologies might one day be possible. Thus, like patents, science fiction can have real world impacts for the development of science and technology. Indeed, the Article reveals that this trajectory—from science fiction to science reality—can be seen in the patent record itself, with several famous patents tracing their origins to works of science fiction.
User Experience of Agent-Mediated Interactions with Multiple Conversational Agents

In the human-computer interaction (HCI) practice, there have been increasing interests in systems consisting of multiple conversational agents (CAs). However, existing studies pointed out that the interactions with multiple CAs require a high level of users’ mental efforts. To cope with this issue, we introduce a mediator agent (MA): a single CA which mediates interactions between a user and multiple CAs. Although there are existing studies that imply the potential of a CA as a mediator in a multi-party context, understanding of user expectations on MA is still lacking. In this work, we conducted an improvisational acting-based Wizard of Oz study to explore user experience (UX) of MA-mediated interactions with multiple CAs. Twelve participants experienced interactions mediated by a virtual MA and interviewed about their expectations on a MA. Qualitative analysis of interview data revealed user expectations on a MA, including user-preferred types of agent-mediation such as confirmation-based mediation and transparency-oriented mediation.
Positioning of autonomous service robots in indoor environments in emergency situations

Proceedings of IV Brazilian Humanoid Robot Workshop (BRAHUR) and V Brazilian Workshop on Service Robotics (BRASERO) (978-65-5941-261-7) - Positioning Of Autonomous Service Robots In Indoor Environments In Emergency Situations
Design and Implementation of OA Office System for Intelligent Teaching

With the continuous improvement of software and hardware facilities in colleges and universities, the demand for office affairs is also growing. Therefore, the traditional office mode in colleges and universities can no longer meet the basic needs. It is very important to introduce the computer intelligent teaching office system into office management. The realization of information statistics summary, file sharing, resource sharing, and collaborative office work in the university can greatly improve the work efficiency, reduce unnecessary expenses, and enhance the soft power of colleges and universities. The system uses spring MVC technology and Java language development, MySQL as the background database.
THE EFFECT OF APPLYING OUTDOOR ACTIVITY ON THE STUDENT’S WRITING ABILITY IN DESCRIPTIVE TEXT AT SMP IT SUARA DA’I MUDA LANGKAT

The study was intended to understand the effect of the Outdoor Activity approach on the writing capacity of the students observed and evaluated by seven-grade students at SMP IT Suara Da'I Muda Langkat. Experimental study design was the approach used. The population in this study was seven grade of the Students of SMP IT SuaraDa'I Muda Langkat. The researcher took all of the population of the seven grades, there are two classes and divided them as experimental and control class while taking the sample of this study. In the experiment, there were 25 students and 25 students in control class. The researcher taught in the experimental class using the Outdoor Activity technique and thye control class taught using the Lecturing approach. The investigator used pre-test, treatment, and post-test. The experimental class increased from 56,40 to 75,80 by 19,4 points, while the control class increased from 49,60 to 65,60 by 16 points. The researchers found that the value of Sig was determined by using SPSS V22 in the post-test of the experiment and control class.It was 0,000 in the T-Test (2tailed). It was lower than 0,05 (0,000<,0.05), so there was a substantial distinction between the class of the experiment and the class of the monitor. In other words, by using the Outdoor Activity approach, the achievement of the students in writing is more successful than the method of lecturing. Keyword: Writing Ability, Descriptive Text, Outdoor Activity Method
Research on Cyber Offenses under Information Technology Act, 2000

Indians have switched to online technology and services mainly after the demonetization that took place in November 2016. Also, the Digital India campaign launched by the Government of India encourages people to use online services by making them easily available. Such technological advancements come with cybercrimes and so, Cyber Security is very essential especially in 2021. There have been multiple incidents where the world has encountered cyber-attacks which almost lead to cyber warfare. To avoid such incidents from happening again, the Indian Parliament has formed the IT Act, 2000. It covers all the crimes and punishments related to those crimes and describes all the things which come under Cyber Crime. The objective of this study is to cybercrimes and provisions of existing cyber laws in India and to tackle the cybercrimes using IT Act, 2000.
Analisis Arus Bocor pada Lightning Arrester di Gardu Induk Padang Luar

Indonesia is a tropical country that has a high lightning density. So that in the distribution of electrical energy this is quite dangerous because it can damage electrical equipment at the substation. A device that secures equipment at the substation from lightning disturbances is a lighting arrester. Currently the lightning arrester that is often used is the seamless type with non-linear resistance in the form of Zinc Oxide. In its use, it is important to ensure the condition of the lightning arrester in order to maintain its reliability in securing the equipment. One way is to measure the leakage current resistive lighting arrester. Measurement of the resistive leakage current is carried out using the Leakage Current Monitoring (LCM) method. This is because the resistive leakage current causes the degradation of the Zinc Oxide varistor, which causes heat and reduces the performance of the lightning arrester. So that the measured value of the resistive leakage current shows the condition of the lightning arrester. The maximum limit of the resistive leakage current depends on the type of brand and the type of arrester used. From the value of the resistive leakage current, it can also be seen that the recommendations for treatment of lightning arresters can be seen. From the research, it was found that the average measurement of the resistant leakage current of the arrester at the Padang Luar Substation is 14-80 μA. For the average calculation results, the leakage current value is 12-70 μA. This indicates that the lightning arrester used is still in good condition because it is still in factory standards and PLN standards of150 μA. Based on the recommended value, the value is 10-49% so the recommendation for treatment of lightning arresters is to measure the annual leakage current. PLN standard if the recommended value is ≤ 90%, then the recommendation for treatment of lightning arresters is to measure the annual LCM
Performance Analysis of Genetic Algorithm for Function Optimization in Multicore Platform Using DEAP

Meta-heuristic algorithms are applied to find good or near-optimal solutions at a reasonable computational cost and time by exploring the search space in an efficient way. Parallelization and distributed computing techniques are solutions to enhance the algorithmic performance. The objective of this work is to analyze the performance of genetic algorithm for function optimization in multicore platform using distributed evolutionary algorithms in Python (DEAP) framework. The analysis is done based on optimal value obtained and the execution time taken to run benchmark functions. Ten benchmark functions of fixed dimensions and five benchmark functions with variable dimensions are considered during experimentation. From the results, we infer that the performance of GA in multicore platform is efficient in terms of computing speed and finding optimal value for the selected standard benchmark problems.
Mastery Of Sociolinguistic Concepts Of Pragmatic Skills By Junior High School Students

Abstract. Skilled in pragmatic language, means skilled in using language forms ( words, phrases and clauses appropriately according to the conditions, situations and social contexts behind it. Such pragmatic skills may be established if the situation, conditions and social context behind the use of the language can be adequately mastered. This study aims to describe the percentage of contributions to the mastery of sociolinguistic concepts with pragmatic skills. In line with the purpose of the study, sociolinguistic mastery data with pragmatic skills of 28 sample people netted with test instruments and analyzed with statistics r¬2.From the results of the analysis conducted, obtained a determination index of 0.78 which means; mastery of sociolinguistic concepts contributes 78% to the achievement of students' pragmatic skills. In accordance with the results of the above analysis, it can be concluded that mastery of sociolinguistic concepts is a variable of criteria that contributes very meaningfully to the improvement of pragmatic skills. Thus, the research hypothesis yaang said that the mastery of the concept of sociolinguistics contributes meaningfully to the development of pragmatic skills of students of SMP Negeri 1 Nias Selatan, the truth is proven
Rancang Bangun Media Pengenalan Jenis Alat/Pil Kontrasepsi Untuk Keluarga Berencana Pada Kampung KB Berbasis Web

Kampung KB was launched by Mr President of the Republic of Indonesia (Ir. Joko Widodo) in January 2016 which aims to improve the quality of life of people at the village level or equivalent through the Family Planning and Family Development Population (KKBPK) program as well as other related sector developments to realize quality small families. Meanwhile, kampung KB was formed in addition to increasing the participation of government, non-government and private institutions in facilitating, assisting and fostering the community to organize KKBPK programs and related sector development. Kb program is carried out with the use of various types of contraceptives for Couples of Childbearing Age (PUS).  The government is now actively promoting the KB program with the target of Child-Bearing Age Couples (PUS) at the age of 15-49 years. Kb communication, information and education (KIE) activities in Indonesia are lighting and socialization activities of kb programs through various media. The media has an important role in socializing family planning. One of them is through the media website. The purpose of this research is to produce web-based media that can introduce the types of contraceptive devices/pills that can be accessed by acceptors and become a medium of socialization of family planning field officers (PLKB) in the village of KB. The method of data collection is done by direct observation, literature review and observation method. Designing the needs of this website will use Unified Modeling Language and implemented with the CodeIgniter framework.
Parallel Algorithm of Improved FunkSVD Based on Spark

In view of the low accuracy of the traditional FunkSVD algorithm, and in order to improve the computational efficiency of the algorithm, this paper proposes a parallel algorithm of improved FunkSVD based on Spark (SP-FD).Using RMSProp algorithm to improve the traditional FunkSVD algorithm.The improved FunkSVD algorithm can not only solve the problem of decreased accuracy caused by iterative oscillations but also alleviate the impact of data sparseness on the accuracy of the algorithm, thereby achieving the effect of improving the accuracy of the algorithm.And using the Spark big data computing framework to realize the parallelization of the improved algorithm, to use RDD for iterative calculation, and to store calculation data in the iterative process in distributed memory to speed up the iteration.The Cartesian product operation in the improved FunkSVD algorithm is divided into blocks to realize parallel calculation, thereby improving the calculation speed of the algorithm.Experiments on three standard data sets in terms of accuracy, execution time, and speedup show that the SP-FD algorithm not only improves the recommendation accuracy, shortens the calculation interval compared to the traditional FunkSVD and several other algorithms but also shows good parallel performance in a cluster environment with multiple nodes.The analysis of experimental results shows that the SP-FD algorithm improves the accuracy and parallel computing capability of the algorithm, which is better than the traditional FunkSVD algorithm.
A Combination Approach for Masked Face Recognition Based on Deep Learning

Face recognition (FR) is widely applied in biometrics and it is an essential part of a biometric security system that can be run faster than other security methods and can be performed remotely. FR systems have recently achieved encouraging results using deep learning, especially using Convolutional Neural Networks (CNN). FR systems face many challenges in unconstrained environments that reduce their accuracy, the last of these challenges is the Coronavirus Disease (COVID-19), where people are forced to wear a medical mask for protection, and this makes the current face recognition system ineffective, as important parts of the face such as the nose, mouth, and chin which otherwise contributes significantly to the face recognition process are covered with a medical mask.  In this study, a deep learning-based feature combination has been proposed for Masked Face Recognition (MFR). The scheme performs feature-level combination by applying two pretrained CNN models as deep feature extractors, taking into consideration the CNN architectures that have yet achieved the highest results in the ImageNet Challenge.  Pretrained CNN architectures were utilized for an image-based masked face biometric system by two strategies. In the first strategy, pretrained GoogLeNet and VGGNet models were utilized to extract deep features separately, followed by a multiclass Support Vector Machine (SVM) classifier. In the second strategy, a feature-level combination was used between two feature vectors extracted by pretrained GoogLeNet and VGGNet models followed by a multiclass SVM classifier.  The proposed system is implemented by using MATLAB 2020b, and to evaluate the performance of the proposed approaches, recognition accuracy is used as an evaluation metric. Three experiments were conducted using three masked face datasets which showed the efficacy of the proposed approaches. Additionally, the combination approach between two CNN-based models improves performance. The combination strategy, in particular, yields accuracy in the range of 94.62% to 95.33% on all datasets. The proposed system was compared to existing models and the findings showed that the proposed system outperformed most current models in terms of accuracy.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI SUMBER DAYA MANUSIA MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) PADA PERUSAHAAN OTOMOTIF

In this era of globalization, technology and information systems have an important influence on the development of companies, including the automotive business. In addition to technology and information systems, human resources also play an important role in the success of a company. Therefore, many companies develop information technology and systems to carry out effective human resource management. This study uses the Rapid Application Development (RAD) method, a human resource system developed with an application programming language based on Visual Basic. NET. This application aims to assist companies in managing their employees by recording applicant and employee information, employee submissions, employee attendance, and reports to manage their employees. The application of the human resource information system provides conveniencein carrying out the employee management processIn this era of globalization, technology and information systems have an important influenceon the development of companies, including the automotive business. In addition totechnology and information systems, human resources also play an important role for thesuccess of a company. Therefore, many companies develop information technology andsystems to carry out effective human resource management. This study uses the RapidApplication Development (RAD) method, a human resource system developed with anapplication programming language based on Visual Basic .NET. This application aims toassist companies in managing their employees by recording applicant and employeeinformation, employee submissions, employee attendance, and reports to manage theiremployees. The application of the human resource information system provides conveniencein carrying out the employee management process
Research Guides: Standards and Codes at CU Boulder: Standards Issuing Organizations

In this guide, you'll find information about standards and codes at CU Boulder and how to find them; standards issuing organizations, including those that provide free access; as well as how to obtain standards not held by the Libraries.
LibGuides: English Language and Literacy: Open Access

all information about English Language and Literacy open access resources and journals and databases
Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains

Predicting the difficulty of domain-specific vocabulary is an important task towards a better understanding of a domain, and to enhance the communication between lay people and experts.We investigate German closed noun compounds and focus on the interaction of compound-based lexical features (such as frequency and productivity) and terminologybased features (contrasting domain-specific and general language) across word representations and classifiers.Our prediction experiments complement insights from classification using (a) manually designed features to characterise termhood and compound formation and (b) compound and constituent word embeddings.We find that for a broad binary distinction into easy vs. difficult general-language compound frequency is sufficient, but for a more fine-grained four-class distinction it is crucial to include contrastive termhood features and compound and constituent features.
Artificial Data Generation with Language Models for Imbalanced Classification in Maintenance

Harnessing data that comes from maintenance logs may help improving production planning and control in manufacturing companies. However, maintenance logs can contain highly unstructured text data, presenting imbalanced distributions. This hinders the training of Machine Learning (ML) models, as they tend to poorly perform when identifying the underrepresented classes. Thus, this study uses a recent language model called GPT-2 to generate artificial maintenance reports. These artificial samples are employed to mitigate the class imbalance when training a Deep Learning (DL) architecture named CamemBERT. To carry out the experiments, an industrial dataset is used to train eleven DL models with different approaches to tackle class imbalance. Findings suggest that mixing random over-sampling with artificial samples improves the performance of classifiers when trained on imbalanced datasets. Finally, results imply that using nucleus sampling when generating artificial text sequences with language models ameliorates the quality of produced data.
Comparing the Accuracy and Precision of Eye Tracking Devices in Different Monitoring Environments

The eye tracking technology is already being used in various research fields. However, only a few industrial eye tracking applications are available in the market due to the uncontrollable outcomes of the devices. For example, when the devices are used in a multi-monitoring environment, their outcomes are less consistent than a single monitoring environment. In addition, there are variances in accuracy and precision between eye tracking devices. Hence, it is necessary to compare the differences between various eye tracking devices in terms of accuracy and precision in different monitoring environments. In this study, we tested seven eye tracking devices in three different monitoring environments. The current study aims to compare the accuracy and precision of multiple eye tracking devices and identify the pros and cons of each system. The outcomes of this study might help researchers develop a better framework for the next generation of eye tracking devices.