Reviewerly/exHarmony huggingface dataset:
Exploring means to facilitate software debugging

In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.
CATEGORY-LEARNING WITH CONTEXT-AUGMENTED AUTOENCODER

Finding an interpretable non-redundant representation of real-world data is one of the key problems in Machine Learning. Biological neural networks are known to solve this problem quite well in unsupervised manner, yet unsupervised artificial neural networks either struggle to do it or require fine tuning for each task individually. We associate this with the fact that a biological brain learns in the context of the relationships between observations, while an artificial network does not. We also notice that, though a naive data augmentation technique can be very useful for supervised learning problems, autoencoders typically fail to generalize transformations from data augmentations. Thus, we believe that providing additional knowledge about relationships between data samples will improve model's capability of finding useful inner data representation. More formally, we consider a dataset not as a manifold, but as a category, where the examples are objects. Two these objects are connected by a morphism, if they actually represent different transformations of the same entity. Following this formalism, we propose a novel method of using data augmentations when training autoencoders. We train a Variational Autoencoder in such a way, that it makes transformation outcome predictable by auxiliary network in terms of the hidden representation. We believe that the classification accuracy of a linear classifier on the learned representation is a good metric to measure its interpretability. In our experiments, present approach outperforms $\beta$-VAE and is comparable with Gaussian-mixture VAE.
LibGuides: Civic Engagement: Faculty Resources

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos.
СУЧАСНЕ АКАДЕМІЧНЕ ХОРОВЕ МИСТЕЦТВО A CAPPELLA ЯК СИСТЕМНИЙ МУЗИЧНО-ВИКОНАВСЬКИЙ ФЕНОМЕН

The dissertation is devoted to the problems of development of modern academic choral a cappella art. The research solves the following tasks: to identify the status of the problem of the development of modern academic choral a cappella art; concretization of the conceptual apparatus of the research; consideration in the theoretical plane of modern academic choral a cappella art; development of genre typology and outline of stylistic trends of modern academic choral a cappella music; studying the ways of development of modern academic choral a cappella art of Ukraine and Belarus and presenting composer practices in modern academic choral a cappella art in the aspect of synthesis and the ratio of old and traditions; elucidation of the peculiarities of formation and socio-historical preconditions of the formation of modern academic choral a cappella performance in Ukraine and Belarus; research of the latest qualities and forms of the performance presentation of modern academic choral a cappella art. The research material consists of generally recognised paragons of modern academic choral a cappella music of Ukrainian (I. Shamo, V. Hubarenko, V. Bibik, T. Kravtsov, L. Dychko, V. Muzhchyl) and Belarusian (A. Mdivani L. Shleh O. Atrashkevych A. Bezenson V. Kuznietsov) composers; the total performance of the leading academic choirs of Ukraineand Belarus – the National Honored Academic Choir of Ukraine Dumka, the Vyacheslav Palkin Academic Choir and the State Choir of the Belarusian Radio and Television. The analysis of scientific research made it possible to reveal the main directions of the ways of studying modern academic choral a cappella art – firstly, as a process of creating new elements of musical culture (variants of interpretation of choral works, the functioning of musical education, providing concert practice by performing personnel, scientific works in this sphere activities); and secondly, as a phenomenon of culture, which includes in its composition a collection of composing and performing achievements, 32created for a certain period of time within the framework of a separate culture of the country.The innovative indications of academic choral a cappella art were identified: the synthesis of a complex of traditional techniques with innovative musical means of utterance; inclusion in the performance and production building of the choral composition of performance features; application of reception of a musical frame, which in turn brings the academic choral art of a cappella to cinema; cintroduction to the choral composition of theatrical techniques. The system of modern academic choral a cappella art was described as open, in a state of constant interaction with the environment, when a constant updating and exchange of new information is carried out.
Adjacent Image Correlation for Video Quality Assessment

The main aim of this paper is to analyse correlation between adjacent images in a video sequence. Adjacent images with a slow or fast changeable scene in a video have high correlation which shows consistency in the video sequence therefore it can be the proof of normal reproduction of video service. Due to QoS (Quality of service) problems, especially over lossy network, appearance of different visual degradations in frames (images) during delivery of video service to end users can happen very often. In that case, adjacent images in the video sequence have low correlation which can be used as an indicator the problem occurred in some part of the network. In addition, the paper analyses correlation correspondent to polygons i.e. parts of adjacent images in the video sequence in order to discover a degree of influence visual degradations to user's QoE (Quality of Experience). In order to check this aim, tested degraded and non-degraded video sequence was captured using IPTV system of one significant market power provider and processed in offline mod with Python script created especially for this purpose.
Security Certificates in Public Web Sites of Banks from Balkan States

In the recent years a trend is formed to use the HTTPS protocol as the default protocol for accessing web pages and to be used by default by web applications. In order for this to be done, a valid certificate issued by authority body should be used. In the scope of the study in the spring of 2019 we examined the web sites of 20 banks licensed in Bulgaria, 24 banks licensed in Romania and 27 banks licensed in Serbia. The survey excludes the foreign bank branches, because we try to outline the good practices used by domestic administrators of banking websites.
Can we consider virtual reality as a medical device to stimulate the heart and respiratory system

0.1 ObjectivesVirtual reality (VR) is a computer system for immersing a player in a virtual world. The main goal of thisstudy is to see if VR could not only be a hobby, but also a medical device with a positive impact on the cardiac and respiratory system by increasing their frequency. The second objective is to analyse theadvantages and drawbacks of today’s VR system and suggest specific improvements for the medical world.0.2 MethodFor this purpose, we measured the heart rate (HR), respiratory rate (RR) and the calory consumption(kcal) of fourteen participants (seven men and seven women) during three phases: resting on a bed without stimulation for 15 minutes, playing a VR game for 30 minutes while sitting and walking outside on a flat ground for 15 minutes. The results were then compared to see how the data changedbetween the three situations. They also fulfilled a survey on their experience and thoughts aboutimplementing VR as a medical device.To collect the data, the volunteers have been equipped with a Hexoskin connected T-shirt and aGarmin Vivofit watch during the whole study. For the VR session, they wore an Oculus Rift headmounted display (HMD) and played a narrative and explorative game called “The Vanishing of EthanCarter”. The goal is to find some clues to resolve an enigma in an environment that closely resembles to the Earth’s atmosphere.0.3 ResultsCompared to the reference values measured during the resting phase, VR was able to increase the HRof men and women by 16.79% and 7.20% respectively. On the opposite, the RR did react differentlywith a decrease of 6.98% for men and a slight increase of 2.89% for women. The calory consumptionhas also increased by 35.39% for men and only 3.98% for women. The range between the lowest and highest values for the HR, RR and kcal increases when playing a VR game and even more when walking.The survey shows that the volunteers would recommend VR as a leisure activity or as a rehabilitationdevice. Nonetheless, the main problem encountered during this study has been nausea, a well-known side effects of this technology. To improve VR games for rehabilitation, some improvements could be done, such as developing anadventure game in a realistic and dynamic environment, with goals, rewards and a multiplayer option.0.4 ConclusionVR does play a role in how our body reacts and adapts to different virtual stimuli. This mechanism could be used to develop VR as a medical rehabilitation tool for different diseases. Many studies have shown that VR has a positive impact as a therapeutic device and especially in combination with currenttherapies. However, in order to implement the VR system as a medical device, some improvements are needed, such as instantaneous feedback, short and long-term rewards, a user-friendly interface,multiplayer option and reduction of side effects such as headache and nausea.
A Study on the Transformative Public Library Usage of the Second Semester Students of STKIP Muhammadiyah Enrekang

This study was aimed at knowing the extent to which the use of the transformative public library of the second semester students of STKIP Muhammadiyah Enrekang. The subjects of the study were the second semester students of STKIP Muhammadiyah Enrekang in primary school teacher education department. The data was collected through interview. The result shows that the students use the transformative public library in three purposes. The first is as a media to do the assignment from the campus. The second is to read interesting books. The third is to participate in a book fair. Yet, there are some students who never use the facilities given by the public library since they never go there.
Knowledge Sharing In Perspective Of Tri Kaya Parisudha And Its Effect On Value Engineering Construction Projects

Abstract Knowledge is the implementation of information and is convinced can be used for decision making. In this 21st century the success of an organization depends very much on the knowledge they have and how to utilize existing knowledge. The objectives of the research are to know and understand the effect of tacit knowledge and explicit knowledge in the Tri kaya Parisudha perspective on the value engineering of construction projects and to know and understand the influence of explicit knowledge mediating the relationship of tacit knowledge to the value engineering of construction projects. Quantitative analysis used is multivariate analysis using structural equation modeling or SEM with a variance-based or component-based approach called PLS (Partial Least Square). Tacit knowlege in manacika perspective significantly influences explicit knowledge in wacika and kayika perspectives, as well as tacit knowlege and explicit knowledge in manacika, wacika and kayika perspectives significantly influence construction project value engineering. Whereas explicit knowledge partially mediates between tacit knowledge to value engineering on construction project.&#x0D; &#x0D; Index Terms— Knowledge sharing, Tri Kaya Parisudha, Value engineering, Construction projects.
Clark Family Library: PrezTech Challenge: PrezTech Challenge Fall 2019 - APPLICATION PROCESS

The Committee on Libraries and Educational Technology (COLET) is pleased to announce PrezTech Challenge. PrezTech Challenge encourages W&J faculty to enhance student learning by using library and educational technology.
Research Guides: MJC Library Videos: Home

The MJC Library has a host of videos on YouTube that you can use to learn about our services, resources, and information literacy skills.
ARTowerDefend: A Shooting Mobile Game Based on Augmented Reality

The rapid development of science and technology in today's era has led to the development and application of augmented reality. This article analyzes an Android augmented reality game “ARTowerDefend”. From design to implementation, it describes the clever application of augmented reality in all aspects. Utilizing the Unity game engine combined with GoogleARcore and multiple applications of artificial intelligence to achieve game highlights and innovation, giving players a great sense of gaming experience.
Optimization of reservoir adaptation for multivariate time series classification

Author(s): Moatamed, Babak | Advisor(s): Sarrafzadeh, Majid | Abstract: With the increasing need for real-time human health monitoring and the advent of activity tracking devices in our daily lives, temporal data is more available than ever. Time series are encountered in many real-world applications ranging from electronic health records (EHR) and human activity recognition to human biosignal classification. One powerful model for time series learning tasks is Reservoir Computing (RC). Due to its recurrent nature, it is capable of encoding temporal dependencies of time series and because of its unique architec- ture (fixed recurrent layer), it is much faster to train compared to state-of-the-art recurrent models. In this dissertation, we propose an Adaptive Reservoir training method for Echo State Networks (ESN). This method enables the reservoir to adapt to the training task only when it results in more discriminative representations for the input time series. In addition as an example of real-world time series applications, we propose an athletic performance moni- toring framework. Finally, we conclude with an in-depth region-based analysis of COVID-19 pandemic events not only because it is another time series related task but since as this dissertation is being written it has affected us all and has taken many lives.
Informational Flow on Twitter – Corona Virus Outbreak – Topic Modelling Approach

The study focuses on the information flow on twitter during the corona virus outbreak. Tweets related to #coronavirus are studied using sentiment analysis and topic modelling using Latent Dirichlet Allocation post preprocessing. The study concluded that the information flow was accurate and reliable related to corona virus outbreak with minimum misinformation. LDA analysis had identified the most relevant and accurate topics related to corona virus outbreak and sentiment analysis confirmed the prevalence of negative sentiments like fear along with positive sentiments like trust. Governments and Healthcare authorities & institutions effectively utilized to spread accurate and reliable information on twitter.
군수품의 고품질 확보를 위한 개발 품질보증 적용사례 연구

Purpose: This study is in order to secure high quality of military supplies, it is important to secure design quality in the development phase. I will review how to establish a quality assurance system in the development phase based on the author’s seminar presentation contents and application example of Hanwha Systems Co., Ltd.Methods: To guarantee design quality in the development phase, in 2002, quality assurance system that is adequate for SQA(Software Quality Assurance)’s requirements of CMM(Capability Maturity Model) was conduct. In 2009, based on the CMMI(Capability Maturity Model Integration) Level 5, there has been continuous and reenforced quality assurance activities.Results: By suggesting the construction and a case study on application of R&D quality assurance, it would be helpful for companies aiming to construct or enhance quality assurance system.Conclusion: To secure high quality for military supplies, a development QA system should be established to secure quality in the development phase. In addition, Total life cycle QA system for development, mass production and operation phase should be reestablished.
Reconstruction of the Past in the Reality of Screen Imagery

The article deals with issues related to the reconstruction of the past events in the artistic space of the film. Based on the analysis of the film language in the movie “Night porter” (directed by L.Cavani), the stages of the formation of artistic imagery of the film through the recreation of the past epoch are traced. Based on the research, the authors identify mechanisms for implementing the existing principles of forming an idea of the basic model that creates the present in the imagination and consciousness of viewers. The specific character of cinema allows one not to merely observe unfolding events in a detached way, but to get into the very essence of what is happening, becoming an active participant, so it is legitimate to speak about a new experience acquired by the audience. The system of values, and especially the process of its transformation, has always been and will always be of genuine interest to artists, since this is the basis, one might even say, the root cause of transactions existing in society that directly shape its spiritual and moral state. The paper confirms the thesis that the life experience acquired by the viewer through penetration into the consciousness of the artistic imagery of the film, affects the decision making.
An Error Analysis of Hiragana and Katakana Writing Systems in the Learning of Japanese as Third Language at UiTM

Abstract&#x0D; The teaching of Japanese language as third language to foreign students has its own issues and challenges. It does not merely involve only teaching the four language skills. Japanese language has its own unique values. These unique values also tend to differentiate the teaching of Japanese language as a third language from other third language acquisitions. The teaching of Japanese language as third language to foreign students also involves the teaching of its writing system. This makes the teaching of Japanese language rather complicated because Japanese language has three forms of writings, namely: Hiragana, Katakana and Kanji. Students are required to fully understand the Hiragana system of writing first before proceeding to learn the other two forms of writings. The main challenge in the teaching of Japanese writing systems is the time allocated that can be considered as very limited as other language aspects need to be taught too. This, which relates directly to students’ factor very much contribute to the challenges foreseen. Students are likely to face problems in understanding and using the writings as they simultaneously need to adhere to the findings teaching and learning schedules. This article discusses on the analysis conducted in terms of the learning of the Hiragana and Katagana systems of writing among foreign students. The discussion in this article is based on the teaching of Japanese language to students of Universiti Teknologi MARA(UiTM), Shah Alam.&#x0D; Keywords: Third language, Hiragana, Katakana, Kanji
Development of Customers Satisfaction Model in Banking Sector Using Fuzzy Cognitive Map

Customer satisfaction is one of the key factors in modern marketing and customer's behavior analysis.Banking industry is one of the numerous services in which the customer satisfaction has had an ever increasing importance in the corresponding research areas.The problem here is the complexity of dealing with customer satisfaction due to super abundant factors engaged in it.In this paper the applications of Fuzzy Cognitive Maps (FCM's), as a decision making tool, in banking industry, a very vital part of a country's economy, has been discussed.The paper focuses on the development of customers' satisfaction model in banking sector using fuzzy cognitive map.A questionnaire assessing customer's opinions to give a clear perception of factors affecting customer satisfaction in banks was designed based on Complaint handling, Service quality, Service feature, Competiveness and Convenience, which are the five major factors considered.The questionnaire was administered to bank managers, other bank staff and the customers within selected banks (First bank, Polaris bank and Wema bank) in Ogbomosho environ, Oyo state South-West Nigeria.The opinions from the administered questionnaires were quantitatively analysed using descriptive statistic in Statistical Package of Social Sciences.The analysis on five factors considered which are: Complaint handling, Service quality, Service feature, Competiveness and Convenience and defining the relationship between the factors were then used to develop the FCM model with the use of mental modeler software.The nodes of the FCM model represent the main factors affecting customer satisfaction in banking sector and running of 'what if' scenario to determine how the model might react under possible change.The simulated resultsshow that Service quality and Complain handling has a degree of effect on Customer satisfaction while other factors has no effect on customer satisfaction which could be positive and negative impact on customer satisfaction in banking sector.This implies that Service quality and Complain handling are important factors in predicting the customer satisfaction in banking sector.
Local Information Opponent Modelling Using Variational Autoencoders

Modelling the behaviours of other agents (opponents) is essential for understanding how agents interact and making effective decisions. Existing methods for opponent modelling commonly assume knowledge of the local observations and chosen actions of the modelled opponents, which can significantly limit their applicability. We propose a new modelling technique based on variational autoencoders, which are trained to reconstruct the local actions and observations of the opponent based on embeddings which depend only on the local observations of the modelling agent (its observed world state, chosen actions, and received rewards). The embeddings are used to augment the modelling agent's decision policy which is trained via deep reinforcement learning; thus the policy does not require access to opponent observations. We provide a comprehensive evaluation and ablation study in diverse multi-agent tasks, showing that our method achieves comparable performance to an ideal baseline which has full access to opponent's information, and significantly higher returns than a baseline method which does not use the learned embeddings.
The PROACTIVE EU project held its first public civil society workshop on 1 October 2020 – UIC Communications

The EU-funded H2020 PROACTIVE project, led by the UIC Security Division, held its first workshop with members of the public last week. This workshop had been planned for June in Malmo, Sweden at…
Silicon Photonics for AI Hardware

Neuromorphic photonic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We will provide an overview of silicon photonic systems for deep learning inference and in situ training.