Reviewerly/exHarmony huggingface dataset:
Semi-supervised Anomaly Detection using AutoEncoders

Anomaly detection refers to the task of finding unusual instancesthat stand out from the normal data. In several applications, theseoutliers or anomalous instances are of greater interest compared tothe normal ones. Specifically in the case of industrial optical inspection and infrastructure asset management, finding these defects(anomalous regions) is of extreme importance. Traditionally andeven today this process has been carried out manually. Humansrely on the saliency of the defects in comparison to the normal texture to detect the defects. However, manual inspection is slow, tedious, subjective and susceptible to human biases. Therefore, theautomation of defect detection is desirable. But for defect detectionlack of availability of a large number of anomalous instances andlabelled data is a problem. In this paper, we present a convolutionalauto-encoder architecture for anomaly detection that is trained onlyon the defect-free (normal) instances. For the test images, residual masks that are obtained by subtracting the original image fromthe auto-encoder output are thresholded to obtain the defect segmentation masks. The approach was tested on two data-sets andachieved an impressive average F1 score of 0.885. The networklearnt to detect the actual shape of the defects even though no defected images were used during the training.
Identification and Teaching of Students with Specific Learning Disability: Counselling Implications

ABSTRACT: This study – using the qualitative approach and literature review – investigates identification and teaching of students with specific learning disability and its counselling implications. The study revealed challenges that are quite universal for teaching learners with developmental disability. The study establishes that learners with developmental disability pose challenges to special needs education teachers. Teachers in this study expressed the need for reduced class sizes, modern teaching materials, motivations to teachers, and additional support services from the government.  This study also showed that placement of learners with developmental disability in the inclusive classrooms with ordinary learners is not enough, for example learners with developmental disability at school placed in an ordinary class with no proper support. It is important to make sure that learners with developmental disability receive all the necessary support and services for accessing the curriculum facilities. Lastly, the study suggested that government should give priorities to special case, such as learners with developmental disability; collaboration between special needs education teachers and parents for children with developmental disability is necessary for the wellbeing of their children; and in order to improve the poor learning environment for special needs educational for children with developmental disability, the teachers, parents/guardians, society, and government should work together.  KEY WORDS: Identification; Teaching; Students; Learning Disability. About the Author: Florence Bosede Famolu, Ph.D. is a Lecturer at the Department of Guidance and Counselling, Faculty of Education, Osun State University, Osogbo, Nigeria. For academic interests, the Author is able to be contacted via e-mail address at: famolu.fb@gmail.com Suggested Citation: Famolu, Florence Bosede. (2020). “Identification and Teaching of Students with Specific Learning Disability: Counselling Implications” in TAWARIKH: Journal of Historical Studies , Volume 12(1), October, pp.93-110. Bandung, Indonesia: Minda Masagi Press owned by ASPENSI, with ISSN 2085-0980 (print) and ISSN 2685-2284 (online). A rticle Timeline : Accepted (May 20, 2020); Revised (July 3, 2020); and Published (October 30, 2020).
Enabling Wireless VR using Predictive Intelligence and Edge-Computing

Author(s): Hou, Xueshi | Advisor(s): Dey, Sujit | Abstract: Triggered by several head-mounted display (HMD) devices that have come to the market in recent years, such as Oculus Rift, HTC Vive, and Samsung Gear VR, significant interest has developed in virtual reality (VR) systems, experiences and applications. However, the current HMD devices are either tethered with PC/console, or rendering locally on itself (quite clunky to wear), negatively affecting user experience. This thesis presents innovative methodologies to enable a truly portable and mobile VR experience, with lightweight VR glasses wirelessly connecting with edge/cloud computing devices that perform the rendering. There are two main challenges for this edge/cloud-based solution: (i) ultra-high bandwidth needed to transmit encoded video, and (ii) ultra-low latency needed to avoid user's dizziness feeling.To address the challenging requirements of bandwidth and latency, this thesis presents three methodologies. Firstly, we have investigated and developed a novel hybrid-cast approach to save bandwidth in a multi-user streaming scenario. We identify and broadcast the common pixels shared by multiple users, while unicast the residual pixels for each user. We formulate the problem of minimizing the total bitrate needed to transmit the user views using hybrid-casting and present a common view extraction approach and a smart grouping algorithm to achieve our hybrid-cast approach. Secondly, we have explored 360-degree video and three Degrees of Freedom (3DoF) VR streaming scenario, and proposed a predictive adaptive streaming approach to reduce latency needed by pre-delivery. By streaming the predicted view with high predictive probability in relatively high quality according to bandwidth conditions and transmitted in advance, we aim to address both latency and constrained wireless bandwidth challenges. Thirdly, for six Degrees of Freedom (6DoF) VR content, we have developed predictive pre-rendering approach to reduce latency needed. By predicting both head and body motions, our approach can pre-render the predicted view in advance and thus save latency in 6DoF VR scenarios.This thesis concludes with a summary of its contributions and open directions for future research.
Research Guides: Community Support Worker: Websites

Authoritative Resources for NorQuest Students Enrolled in the Community Support Worker program
SISTEM INFORMASI KEBERADAAN BESI BEKAS DI MASYARAKAT BERBASIS ANDROID

Abstract Iron waste is an object that can be reused for its use value by recycling. To get to the recycling process, iron waste is collected by scrap metal collectors from various areas or various places, then sent to scrap metal dealers to be collected and sent to scrap metal recycling factories. The collectors collect scrap metal to serve as something that has economic value. In editioon, collectors need scrap metal not to be produced but seek and receive scrap metal sales, which will be resold to larger collectors with a higher selling price. The problem that occurs is the difficulty for collectors to locate the presence of scrap metal in the community. Moreover, Another obstacle is that people are still confused about how to infrom scrap metal collectors about the availability of scrap metal in their place. Trus, this research aim to facilitate the collectors to find the location of scrap metal in the community. This system also eases the community to obtain information about the location where the collectors are. The system development method used is the Waterfall method using the PHP programming language and MSQL database. Keywords: Scrap Metal, Waterfall.
Performance Analysis and Evaluation of Feature Selection Techniques to Find Coherence Using Cosine Similarity

Unstructured Data is utilized in many major applications. It seems 80% of the data generated by various business applications are unstructured. Unstructured data can not be directly processed to generate information. Few major applications which uses AI are Recommendation systems, Sentiment Analysis of customer’s emotions, finding duplicate content through plagiarism detection, document organization based on the requirements etc. Different forms of origin of such data can be categorized as unstructured text on the World Wide Web, sensor data, digital images, videos, sound, result of scientific experiments and user profiles for marketing. Information retrieval from huge text datasets is quite challenging. This is caused by the various characteristics associated with natural languages and a major concern in text mining. Before we apply computational techniques on documents it is important to make the documents ready for processing. Document Preprocessing is one such method applied for text documents. Document Preprocessing plays a vital role in document grouping. In this paper, four feature selection techniques are implemented and empirical investigation results are included. The evaluation of the grouping outcomes are used to evaluate the effectiveness of each feature selection technique. The evaluation of the grouping outcomes are done to evaluate the effectiveness of each feature selection technique.
AN EXPERIMENTAL STUDY ON EFFECTIVENESS USAGE OF VARIABLE DESIGN SOLUTIONS BY MAINTENANCE STAGE OF SOFTWARE FOR “SMART-HOME” SYSTEMS

Article considers current state of scientific publications on topic of intellectualization of all main processes for full life cycle development of software systems, approaches to building variable models for “Smart Home” systems. A review of existing approaches to the analysis of quality of construction for such solutions. The Feature-Oriented Development Architecture (FODA) model of smart home system is analyzed, the current problems of smart home systems design are emphasized. The state of publications on topic of quality assessment of systems such as «Smart Home» is analyzed. Then, the proposed approach to experimental assessment of system maintenance is based on the analysis of the total costs required to prepare functionality of system for operation. In the course of experimental calculations, domain model of Smart Home systems was used in two variants, using an integration module and using separate control devices, separately for each of the manufacturers. The proposed approach for evaluating alternative FODA models is based on «maintainability» criterion. The time required to configure the software for a set of individual system modules and to configure them as a single system was used as data. The obtained data, allowing to make a decision on choice of construction architecture of system based on the set domain model, contains a set of devices and the description of functions provided by them. The results of the work should be the basis for the development of a centralized storage for the accumulation, analysis and reuse of the configuration of individual submodules of Smart Home systems and integrated systems that meet certain requirements, resulting in a comprehensive approach to improving the quality of Smart Home systems on the example of the traceability indicator.
La investigación educativa apoyada en TIC desde la perspectiva de los docentes de la UACyA-UAN

The purpose of this paper is to know the actual situation of the educational research by using the ICT (Information and Communication Technologies) at the Unidad Académica de Contaduría y Administración from the Universidad Autónoma de Nayarit (UACyA-UAN) to answer the question ¿Why do UACyA-UAN teachers who do not teach the Research Methodology subject move away from educational research, ceasing to promote the use of ICT and therefore do not transfer this culture to their students? by looking after its use and application in teaching as well as its transfer to students. This investigation uses a mixed methodology, a survey of 83 teachers, and individual interviews with four candidates. The result shows that it is necessary to promote research and technology skills in the teachers to archive the student’s interest. It’s concluded that the relationship between ICT and research is vital in modern education and that the lack of teaching development in digital skills for information management causes their withdrawal from these activities, assuming that it corresponds to holders of Research Methodology to carry them out.
THE POSITIVE EFFECTS OF PET RABBITS ON THE STUDY AND SCHOOL ATTITUDES OF HIGH SCHOOL STUDENTS

Education needs serious changes. In one aspect, the students are not the same as their previous generation was, and on the other hand, the digital word what is around us, changed the understanding, and remembering processes . A new teacher aspect appears in a reversed socialization process, where the prestige is not necessarily an automatic entitlement. The research results of the authors show, that the students, who kept rabbits spent less time with computer games on their smart phones and other digital devices. They spent less time with their phones on social media sites, and spent more with their personal contacts, what can be hide huge possibilities, because, they spent more time in the real world. Keeping pet rabbits seems good for improve their communication capability, furthermore it helps to expand their knowledge of biology.
A Methodological Approach to Privacy by Design within the Context of Lifelogging Technologies

Lifelogging technologies promise to manage many of the concerns raised by population aging. The technology can be used to predict and prevent disease, provide personalized healthcare, and to give s ...
Geoarchaeological mapping of Stone Age sites and mineral outputs of Titovskaya Sopka (Eastern Transbaikalia): a practical aspect

The practical implementation of the possibilities of using unmanned aerial vehicles (UAVs) in carrying out geoarchaeological mapping of the Sukhotinsky geoarchaeological region is shown. The object of the study is the Sukhotinsky geoarchaeological region (Eastern Transbaikalia), associated with the source of mineral raw materials - the Titovskaya Sopka paleovolcano. The aim of the study is to create orthophotomap and digital terrain model specified. The objectives of the study included geoarchaeological mapping of the territory of the study area using modern hardware and software methods using algorithms for reconstructing a three-dimensional scene from photographs, such as structure from motion (SfM), adapted to the tasks of geoarcheology and mapping of volcanics, as well as the products of their contact metamorphism; coordination of ground control points’ network and marking of their location in a way that allows them to be identified from photographs taken by UAVs; realization of aerial photography of the area under consideration, using UAVs;implementation of algorithms for photogrammetric processing of images using the SfM method with obtaining a spatially-oriented dense cloud of terrain points; post-processing of a dense cloud of points with obtaining a three-dimensional terrain model and a high spatial resolution orthophotomap. The relevance of the work lies in the practical implementation of modern GNNS technologies using an unmanned aerial vehicle for mapping geoarchaeological objects. Analysis and interpretation of high-resolution images taken from UAVs and other digital and cartographic materials, processing and digitization of images were taken as research methods. An orthophotomap and a digital terrain model were created and analyzed. Areas of microrelief change were revealed. The theoretical and practical significance of the study consists in creating an orthophotomap and a digital terrain model of the Sukhotinsky geoarchaeological region using modern hardware and a UAV, representing a digital geoarchaeological mapping of archaeological sites, including all hypsometric levels and outcrops of mineral raw materials on an area of 2,4 km²
Optical Neural Networks of Handwriting Recognition Using Optical Scattering Unit System

We simplify the classic convolutional neural network (CNN) of handwriting recognition — LetNet-5, and achieve classification based on the dataset MNIST by using an interconnected system of inverse-designed optical scattering units.
LibGuides: March is Reading Month: Graphic Novels

This LibGuide is for a public library's March is Reading Month reading challenge. The target audience is elementary school-aged library patrons and their parents. Find graphic novels for all reading levels.
Voting and Ensemble Schemes Based on CNN Models for Photo-Based Gender Prediction

Gender prediction accuracy increases as convolutional neural network (CNN) architecture evolves. This paper compares voting and ensemble schemes to utilize the already trained five CNN models to further improve gender prediction accuracy. The majority voting usually requires odd-numbered models while the proposed softmax-based voting can utilize any number of models to improve accuracy. The ensemble of CNN models combined with one more fully-connected layer requires further tuning or training of the models combined. With experiments, it is observed that the voting or ensemble of CNN models leads to further improvement of gender prediction accuracy and that especially softmax-based voters always show better gender prediction accuracy than majority voters. Also, compared with softmax-based voters, ensemble models show a slightly better or similar accuracy with added training of the combined CNN models. Softmax-based voting can be a fast and efficient way to get better accuracy without further training since the selection of the top accuracy models among available CNN pre-trained models usually leads to similar accuracy to that of the corresponding ensemble models.
Interactive Neural Style Transfer with Artists.

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in our interactive experiments. We gather a set of paired painting-pictures images and present a new evaluation methodology based on the predictivity of neural style transfer algorithms. We point some algorithms' instabilities and show that they can be used to enlarge the diversity and pleasing oddity of the images synthesized by the numerous existing neural style transfer algorithms. This diversity of images was perceived as a source of inspiration for human painters, portraying the machine as a computational catalyst.
Students’ Perception of the Implementation Picture Series in Writing Classroom

Most of the students have difficulties in writing. They had poor ability to arrange sentences in correct logical order and good paragraph structure. However, the previous studies showed that the problems of writing are not only based on the inability of the students to write, but also by the inappropriate method used by the teacher in the learning process. Most teachers do not know about what kind of best visual aid that can be applied to develop the learners’ ability in writing class. This research is looking at teacher’s and students’ perceptions of the implementation picture series in the writing classroom. For collecting the data, the researcher used questionnaires and interviews. All of the participants were third-grade students in SMP Negeri 1 Sumberlawang, in the Academic year 2019/2020. The researcher involved 16 students at eleventh-grade junior high school. This study is expected that the implementation of using picture series as a media in the learning process can be beneficial for teachers and students, such as improving the learners’ writing ability, improving students’ participation in the learning process, fun learning environment, and improving students’ writing interest.
CILS B2 Sample Test with Teacher’s Feedback

CILS B2 Sample Test The Certification of Italian as a Foreign Language (Certificazione di Italiano come Lingua Straniera or CILS) is a qualification offered by the Foreigners University of Siena for foreign speakers of the Italian language, recognizing various levels of language proficiency. Each part of the examination is evaluated independently, so to pass the exam you must have obtained the necessary grade in each section. If this is not the case, then it is possible to retake the necessary sections. Please complete this sample test and email it back to us at info@speakitalynyc.com to find out your score.
Artificial Intelligence in Lethal Automated Weapon Systems - What's the Problem? : Analysing the framing of LAWS in the EU ethics guidelines for trustworthy AI, the European Parliament Resolution on autonomous weapon systems and the CCW GGE guiding principles.

Lethal automated weapon systems (LAWS) are developed and deployed by a growing number of state and non-state actors, although no international legally binding framework exists as of yet. As a first ...
Utilization of information technology with the zoom cloud application at the Farabi Bali Music Education Institute

This study aims to test data to analyze the effect of using information technology with zoom cloud applications, corporate image, student satisfaction and loyalty. This research was conducted with the research population composed of all students at Farabi Bali Music Education Institute totalizing 1,338 students, the sample used was 93 students with the method of purposeful sampling, that is, the method of determining the sample according to predetermined characteristics. The implication of this research is that the use of information technology with zoom cloud applications can be improved, paying attention to the performance indicators of the work in progress, so that the use of information technology with zoom cloud applications can increase student satisfaction and loyalty. A company's image can be enhanced with a set of impressions. Student satisfaction can be increased by general satisfaction and loyalty can be increased by demonstrating immunity to competitors' attractiveness.
APPLICATION OF THE REQUIREMENTS ENGINEERING METHODOLOGY IN THE IMPLEMENTATION OF PROJECTS TO CREATE TECHNOLOGICAL INNOVATIONS

This article offers a requirement engineering methodology consisting of five stages: information preparation, requirements identification, requirements analysis, specification, and validation. The methodology uses proven practices, methods, and tools that allow project managers, engineers to manage requirements to improve the implementation of research, development, and other projects.
ECONOMIC EFFECTS OF MIGRATION TO NORTH MACEDONIA

This paper presents the economic effects of migration in North Macedonia. Remittances of immigrants for small countries with disabilities of economic competitiveness and with a significant balance of payments deficit such as North Macedonia are of particular importance. They enable foreign exchange reserves to remain at optimum levels, maintain a stable level of the national currency exchange rate and intensify economic development. The main objective is to highlight the importance of remittances in the economic development of North Macedonia and to suggest a more stimulating policy to encourage migrants to invest in their home country. Direct and indirect remittances account for about 20 % of GDP in the economy of North Macedonia Such a level of remittances in which over 80% are of Albanian ethnicity indicates the contribution of this ethnicity to the economy of North Macedonia. The paper presents the dynamics of remittances and GDP in the last decadeParabolic regression is used in econometric analyzes, defined on the basis of the frequency distribution diagram. The interdependence of remittances and economic development in North Macedonia is analyzed in the last decade 2008/18. At the same time, the interdependence of the same indicators for neighboring countries such as Albania and Kosovo are presented. The empirical analysis of the correlative relation between remittances and GDP, expressed through coefficients of coercion, alliance and correlation, indicates a genuine link between development rates and remittances of immigrants in North Macedonia and two other Albanian states. The coefficient of determination shows that remittances have impacted the economic development of North Macedonia, Albania and Kosovo in the last decade.