Reviewerly/exHarmony huggingface dataset:
Sistem Pengenalan Pola Angka Menggunakan Metode Delta rule

Delta rule is one of the methods in the study of artificial neural networks (ANN). Delta rule has advantages where there is error checking or delta when the learning process is done. This research aims to provide a simple description to young researchers about how to build intelligent systems through one branch of knowledge, namely ANN with the delta rule method.In this research, delta rule is used as a method that helps computers in the learning process to recognize each target output (target output) of several neurons that carry certain information. The expected output target is a pattern of numbers 1 and 0 using three neurons, where each neuron has a weight value. The ANN weight value is used to store certain information.The final weight value obtained in this research w1 is -6.7, w2 is 1.4, and w3 is 4.1. With the final weight the system can recognize patterns of numbers 1 and 0 with characteristics that are made diverse as in the truth table that was made in this research.
LITERASI TERKINI DALAM PEMBELAJARAN BIPA PADA ERA REVOLUSI DIGITAL

The Vision of Indonesian Language for Foreign Speakers (BIPA) is the implementation of teaching that is able to enhance Indonesia's positive image in the international world in order to make Indonesian as a broad language of communication at the level of nations. To be able to realize the integrated learning objectives of BIPA culture, BIPA teachers must always update information, especially human, art, culture; more broadly is Indonesian culture. In this case, the instructors in the BIPA program are required to be able to develop systematic learning tools. BIPA teachers must be able to become the front guard in civilizing Indonesia through new literacy, including data literacy, technology literacy, and human literacy. This condition marks the beginning of the era of the digital industry world which has become a paradigm and reference in the present order of life.
Implementation of a 2D A. I. Agent for nondeterministic games using Convolution Neural Network

Artificial Intelligence (A.I.) in video games is largely used in designing an agent, also known as Non-Playable Characters (NPCs), that mimics characteristics of a human player. Evidently, the field of A.I. agent-based game development is flourishing due to recent advancement in the field of deep learning. This study presents the role of different Convolution Neural Networks (CNN) employed in the development of A.I agent-based games and also proposes a model which is a variant of CNN. For the purpose of this study the game used is a basic jumping platformer game in which the game character, which is of the primary focus, is tasked with dodging obstacles by either jumping or ducking. The obstacles are generated randomly and include objects like cactuses and flying vultures. The model proposed, is a variant of CNN that fashions an AI agent that predicts the game character's movement, based on the current environment of the game, to mimic the performance of a human player. The performance of the model proposed results in an accuracy of 97.03 % on both the testing and training set.
Multiresolution LBP for lace images classification

The lace images are particularly difficult to be analyzed in digital form using classical image processing and machine vision techniques. The major reasons of this difficulty emerge from their fine complex structure and pattern. In this work, the major approaches implied for the evaluationsof lace images are Image Histogram and Local Binary Patterns (LBP). Two variants of LBP are mainly evaluated. The accuracy obtained of each descriptor via the k-NN classifier with different distances. Experimental results indicate that the basic LBP generates the best performance 97% under neutral variation
Designing of additional professional programs for academic teaching staff of higher education organizations

The idea of lifelong education is realized not only in the form of theoretical concepts, but it is put into practice of the personnel’s training as well. The need for constant professional development is fixed at the legislative level and stated in professional standards for all sectors of activity. Under the current legislation the academic teaching staff of any higher education organization must take advanced training courses at least once every 3 years. Thus, the problem of designing additional professional programs - advanced training programs for the academic teaching staff of higher education organization is relevant. Empirical and theoretical research methods, as well as an analysis of our own program development experience, made it possible to make generalizations about the program design stages, which are presented in this article. The design stages contain the baseline comment on the essence of the developer’s actions and a rough result of the design of the program, both at a separate stage and for the program as a whole. Using the ongoing additional professional program as an example, some substantive units that can be considered as the universal ones conforming to professional standards of the academic teaching staff activities are highlighted. The author points out that all program units should have meaningful interdependencies and in this case they can be typified as a kind of educational case, within which both traditional and innovative teaching methods are applied. A non-standard approach to evaluating the students that participate in advanced training courses is the organization of the end-of-course assessment. It represents the project review that helps the student to demonstrate his improved competences. The proposed stages of designing an additional professional program and organizing work with students contribute to the development of the system of postgraduate education and have practical significance for all educational organizations that develop their own advanced training programs for the personnel.
Has Social Media Altered Our Ability to Determine If Pictures Have Been Photoshopped?

The prevalence of social media is undeniable; indeed, the majority of people check social media every day. Furthermore, it is increasingly simple to modify photographs prior to posting them on social media, such as Instagram. Given that higher level cognitive factors influence our perception, does repeated exposure to unrealistically thin, idealised pictures of women influence our ability to detect digitally altered images? Across 3 experiments (total N=378), female participants viewed an unaltered image, followed by a noise mask, then an image of the same female model that had been modified (in increments of 5%) to be either larger or smaller than the original. Body shape dissatisfaction, ideal body size, Instagram usage, self-esteem and BMI were also measured. In Experiments 1 and 2, participants indicated, via visual analogue scale, perceived change between images (−30% to +30%). In Experiment 3, participants made a same/different judgment, which allowed for psychophysical curve fitting. Participants underestimated change levels for thin models (Experiment 1: t(105)=3.737, p< .001, d=.729; Experiment 2: t(137)=8.474, p< .001, d=1.448), and overestimated change levels for plus-size models (t(137)=6.129, p< .001, d=1.047). Although participants were accurate in determining whether two images of plus-size models were the same or different (t(133)=1.784, p=.077, d=.309), the second image of thin models had to be significantly smaller than the first for participants to report they were the same (t(133)=4.408, p< .001, d=.764). Overall, participants believed photographs had been modified to a lesser degree than they actually had been, particularly for thin models. We suggest that regular exposure to unrealistically thin, idealised images on social media has changed our perception of “normal”, leading to the belief that the average body is larger than it truly is. These findings have implications for our understanding of the roles of social media and social comparisons in relation to body image dissatisfaction.
Research Guides: Films & Video @ ATU Libraries: Kanopy

Everything you wanted to know about physical and streaming collections of films and video for classroom use.
Mitigation Techniques for Attacks on 1-Dimensional Databases that Support Range Queries.

In recent years, a number of attacks have been developed that can reconstruct encrypted one-dimensional databases that support range queries under the persistent passive adversary model. These attacks allow an (honest but curious) adversary (such as the cloud provider) to find the order of the elements in the database and, in some cases, to even reconstruct the database itself.
SECURITY AND PRIVACY ASPECTS IN SMART IoT ENVIRONMENT

Internet of Things (IoT) has undergone a sea change in the last few years. Quite potent development has shaped up the common perception of Internet towards a unified vision of smart objects communicating with each other. As we observe the recent trends a lot of issues have been addressed by the available wireless technologies but the issue of security and privacy still remains a vulnerable one and Internet of things technology is no exception to it. In today’s world particularly sensitive data is managed and any sort of leakage of data can breach the privacy of any user. Due to this fact sometimes the efficacy of the IoT system as whole has been put under serious doubts by several organisations. With the fact still remains that a lot of systems are particularly connected with each other unsupervised increases the complexity of the system as whole. This is one of the main reasons behind less penetration of the IoT technology in the Indian market. This Chapter deals with the brief description of the challenges pertaining to the area which we need to overcome in the coming years so as to make the technology effective and efficient. This Chapter also discusses various economic and cultural reasons which led to severe privacy related issues in the IoT technology as whole. This Chapter also focuses of the impacts of some of the attacks on the IoT technology and discuss the possible prevention methodologies. A proper review regarding the advances in security and privacy is also done which also discusses appropriate solutions after identifying challenges and future aspects in the given area.
@jacquelinerabe Flagship Universities, like all land grant ...

@jacquelinerabe Flagship Universities, like all land grant universities, aren't built to serve the poor....if they were they wouldn't have been built in places where no
Analysis of Information System Governance Audits Based on Cobit 5.0 In Badan Keuangan Daerah City of Salatiga

Badan Keuangan Daerah (BKD) City of Salatiga is a financial governance departement that manages finance including taxes, expenditure and budgeting for Salatiga government. BKD have Sistem Informasi Penatausahaan Keuangan Daerah (SIPKD) that manage all other accounting information systems as input, this system has neverbeen audited before, because KOMINFO has the right to be founded in 2017. The method use is, qualitative describetive with primary data type, and use study case approarch at BKD. Based on audit which researchers do with framework CobIT 5.0, the results of fifth domain at capability level 2 (Managed). In this condition, organization governance to SIPKD already can be support overall, especially in supporting making financial report Salatiga government. Suggestion for next research, can be done at other SKPD in Salatiga
Influence of Achievement Goals Orientation on Exercise Commitment and School Resilience in Middle School Sports Club

Purpose: The aim of this study is to investigate the relationship among achievement goals orientation, exercise commitment and school resilience of sports club participants.BR Method: For the study 331 middle school students were collected as sbujects. Data gathered from questionnaires were analyzed with reliability analysis, frequency analysis, factor analysis, correlation analysis and multiple regression analysis using SPSS for Windows 21.0.BR Results: The conclusions are as follows; First, the achievement goalso rientation of middle school students had an effect on cognitive exercise commitment in the order of task and ego goal orientations, as for behavioral exercise commitment in the order task and ego goal orientations. Second, the achievement goals orientation of middle school students had an effect on school resilience. In this part, only task goal orientation had an effect on school resilience. Third, the cognitive exercise commitment of middle school students had an effect on school resilience in the order of interest and norm.BR Conclusion: In summary, the findings in this study confirm that middle shcool students’ achievement goals orientation has the effect on exercise commitment and school resilience. Exercise commitment also has an effect on school resilience of sports club participants.
Generalizability of Readability Models for Medical Terms.

Detection of difficult for understanding words is a crucial task for ensuring the proper understanding of medical texts such as diagnoses and drug instructions. We propose to combine supervised machine learning algorithms using various features with word embeddings which contain context information of words. Data in French are manually cross-annotated by seven annotators. On the basis of these data, we propose cross-validation scenarios in order to test the generalization ability of models to detect the difficulty of medical words. On data provided by seven annotators, we show that the models are generalizable from one annotator to another.
Sensitivity Analysis of Operational Priorities

Specifically, this paper examines the applicability and effectiveness of the African Development Bankâ€™s priorities known as the â€œHigh-Five prioritiesâ€ in poverty eradication in Africa. These priorities are agriculture, industries, regional integration, infrastructures and quality of human life. The study uses exploratory research strategy and simple random technique. The panel data are sampled from 2013 to 2017 in 48 Sub -Saharan African countries. The random effects model and vector autoregressive (VAR) model are used to analyse the data. The study finds that the High-Five Bank priorities are ineffective to reduce the income and non-monetary poverty rate in a short â€“ term and evidenced to beÂ effective for long-term. Moreover, the priorities evidence to have a power to reduce the poverty gap in a short-term.Â The paper recommends that the prioritising on the High-Five priorities is a relevant for the long- term goals, but lacks its relevance for short- term interventions. Therefore, for optimal poverty eradication strategy, short- term and long- term strategy are required.
A Study on Human Pose Data Anomaly Detection

Author(s): Zhang, Haotian | Advisor(s): Gilja, Vikash | Abstract: Identifying anomalous human pose data is crucial to many emerging data-driven artificial intelligence systems. For instance, patient behavior monitoring systems can analyze patient behavior based on patient movement and pose predictions. Although pose tracking methods have improved over the years, anomalous pose estimates, even if infrequent, can result in troublesome events, such as error information on the patient behaviors, which can lead to false diagnosis and requires human labor intensive processes to identify those anomalous poses. This cost could be mitigated by correcting or identifying anomalous pose estimates in an automated fashion. Thus, we present an anomaly analysis framework for clinical human pose estimates to address these concerns.In this study, we define anomalous human pose estimates by a thresholded euclidean distance between manually labeled joints and computer vision based predictions of joint locations. For our study, we annotated and analyzed a new human pose dataset from a clinical setting to study the subject-wise sensitivity and accuracy of anomaly detection on our proposed variational autoencoder (VAEs) } based frameworks. For our study, we performed anomaly analysis and detection based on our frameworks with PatientPose , a 2D pose estimator designed for the clinic setting. We demonstrate a strategy to correct anomalous to improve pose estimation accuracy and quantify and consider design-tradeoffs for our anomalous pose detection method. We also compare our method with classic anomaly detection methods such as Isolation Forest and One-Class Support Vector Machine (OC-SVM) with time-domain input. The outcome of this study will provide an out-of-the-box anomaly detection methods for clinical human pose data estimation frameworks and empower follow up research and systems development with imperfect human pose data.
Research Guides: Films & Video @ ATU Libraries: Browse DVD and Blu-Ray Collection

Everything you wanted to know about physical and streaming collections of films and video for classroom use.
Bulging out of the picture - or not? Oblique viewing effects on the convex-concave ambiguity.

The perception of convex-concave ambiguous pictures is known to depend on the orientation of those stimuli in the frontal plane, because it is subject to the light-from-above (and convexity) biases. In Koenderink et al. (Pointing out of the picture, Perception 2004:33) it was found that perception of an obliquely and frontally viewed picture of a globally convex relief was very similar in that the pictorial relief simply was indicated by the proximal stimulus. So, they found no evidence for any ‘correction’ mechanisms under oblique viewing. We tested whether this also holds for convex-concave ambiguous stimuli. We tested frontal and oblique viewing of a real example of a convex-concave-ambiguous ‘stimulus’, a picture of a sculpted memory stone, for vertically and horizontally placed photographs in fully diffuse lighting. We found idiosyncratic differences between frontal and oblique viewing. For frontal viewing the pictorial relief was mostly perceived to exist of convex elements and by one observer as just concave elements. For oblique viewing the perceived relief changed for all observers: between 1 and 5 elements flattened or reversed depth; two observers reported that all relief elements looked flatter in the oblique than in the upright condition. This suggest that in this specific case ‘correction’ mechanisms might play a role, but it is not yet clear which and whether those relate to the picture’s spatial attitude or foreshortening. To address this issue we will extend this study testing more viewing, positioning and lighting conditions for photographs and for simple computer rendered stimuli.
Designing a Course Book of English for University Students (Experts’ Judgments)

This study was conducted in order to cater for the needs to equip English lecturers at higher education level in Indonesia. English is a compulsory subject at tertiary education level in Indonesian higher level education the study applied experts’ judgment on the use of course book for English at tertiary level of education. The experts were asked to make a judgment on the use of course book frame four points of judgment: the Contents of Course Book, evaluations on for language skills, Course Book Appearance, and Practical Consideration of the course book. The results showed that more positive responses were given by the respondents on each aspect of book evaluation.
On the Right Path: A Modal Logic for Supervised Learning

Formal learning theory formalizes the process of inferring a general result from examples, as in the case of inferring grammars from sentences when learning a language. Although empirical evidence suggests that children can learn a language without responding to the correction of linguistic mistakes, the importance of Teacher in many other paradigms is significant. Instead of focusing only on learner(s), this work develops a general framework---the supervised learning game (SLG)---to investigate the interaction between Teacher and Learner. In particular, our proposal highlights several interesting features of the agents: on the one hand,Learner may make mistakes in the learning process, and she may also ignore the potential relation between different hypotheses; on the other hand, Teacher is able to correct Learner's mistakes, eliminate potential mistakes and point out the facts ignored by Learner. To reason about strategies in this game, we develop a modal logic of supervised learning (SLL). Broadly, this work takes a small step towards studying the interaction between graph games, logics and formal learning theory.
Relational into Non-Relational Database Migration with Multiple-Nested Schema Methods on Academic Data

The rapid development of internet technology has increased the need of data storage and processing technology application. One application is to manage academic data records at educational institutions. Along with massive growth of information, decrement in the traditional database performance is inevitable. Hence, there are many companies choose to migrate to NoSQL, a technology that is able to overcome the traditional database shortcomings. However, the existing SQL to NoSQL migration tools have not been able to represent SQL data relations in NoSQL without limiting query performance. In this paper, a relational database transformation system transforming MySQL into non-relational database MongoDB was developed, using the Multiple Nested Schema method for academic databases. The development began with a transformation scheme design. The transformation scheme was then implemented in the migration process, using PDI/Kettle. The testing was carried out on three aspects, namely query response time, data integrity, and storage requirements. The test results showed that the developed system successfully represented the relationship of SQL data in NoSQL, provided complex query performance 13.32 times faster in the migration database, basic query performance involving SQL transaction tables 28.6 times faster on migration results, and basic performance Queries without involving SQL transaction tables were 3.91 times faster in the migration source. This shows that the theory of the Multiple Nested Schema method, aiming to overcome the poor performance of queries involving many JOIN operations, is proved. In addition, the system is also proven to be able to maintain data integrity in all tested queries. The space performance test results indicated that the migrated database transformed using the Multiple Nested Schema method showed a storage requirement of 10.53 times larger than the migration source database. This is due to the large amount of data redundancy resulting from the transformation process. However, at present, storage performance is not a top priority in data processing technology, so large storage requirements are a consequence of obtaining efficient query performance, which is still considered as the first priority in data processing technology.
СЦЕНАРНІ УСТАНОВКИ ЯК ЧИННИК ПРОФЕСІЙНОГО ВИГОРАННЯ ВЧИТЕЛІВ ПОЧАТКОВОЇ ШКОЛИ

In the article the problem of professional burnout of primary school teachers is studied through the prism of the development of a professional scenario. The psychological barriers to the implementation of professional competencies of primary school teachers, which provoke a burnout syndrome that is understood as the loss of professional resources, have allocated scenario settings. There is a direct correlation between the indicators of professional burnout and scenario requirements that leads to the need for adjusting scenario settings for primary school teachers. It was investigated that professional burnout of primary school teachers also depends on their psychological roles, which testify the importance of taking into account the role factor in the prevention and correction of professional burnout of primary school teachers.