Reviewerly/exHarmony huggingface dataset:
Adaptation of immersive virtual reality for sustaining tourism attraction to preserve history

Due to the pandemic of Covid-19, the tourism sector faces difficulties sustaining the tourism attraction in Melaka, Malaysia's cultural heritage Tourists could not visit the physical places easily and need to follow a standard operating procedure such as not encourage children to be around in the public area and limit the number of visitors in one time with a limited time duration Therefore, this paper focuses on the sustainability of the Melaka cultural heritage for Hang Tuah Village (HTV) history through applying the virtual reality (VR) platform HTV Digital tourism can be an innovative way to preserve historical artifacts and increase the location's popularity With the development of immersive VR, tourists can explore the HTV and interact with historical objects The historical background of HTV exploration can be done without traveling and expose to the risk of Covid-19 and damaging the historic site The functionality of the VR tested using usability testing through the User Experience Questionnaire (UEQ), which eventually has 16 dimensions The five dimensions applied are attractiveness, perspicuity, dependability, usefulness, and novelty The evaluation is using a 5-point Likert scale with a total number of 17 questionnaires As a result, the UEQ acceptance of the system is 'High', with 3 875 average overall of the mean score, and 77 5% of the respondents were overwhelming good feedback based on the experience Thus, with the high acceptance received, it concluded that the adaptation of immersive VR could help sustain the tourism industry to preserve the history of HTV
The (in)security of some recently proposed lightweight key distribution schemes

Two recently published papers propose some very simple key distribution schemes designed to enable two or more parties to establish a shared secret key with the aid of a third party. Unfortunately, as we show, most of the schemes are inherently insecure and all are incompletely specified - moreover, claims that the schemes are inherently lightweight are shown to be highly misleading. We also briefly critique a somewhat related very recent paper by the same authors that uses similar techniques to achieve what are claimed to be secure multiparty computations.
Unification of construction of catalogs of electronic resources of library on the basis of the ontological approach

The proposed research is devoted to the introduction of a modern ontological approach in the activities of library organizations. It has been revealed that an electronic catalogue in the modern sense is not a simple list of publications available in the book depository located on a digital medium. Actually, while saying “electronic catalogue”, we understand a rather complex information system of knowledge management which is serviced by appropriate software, has certain protocols for interacting with users and maintenance personnel, uses a specific access interface, information retrieval system, technology for delivering results of data requests to a user, etc. The material presented in the research suggests that the ontological approach can be used to unify the construction of electronic catalogues. Such unification is ensured by a combination of existing databases with arrays of unstructured and poorly structured information, through semantic annotation (the creation of metadata). The use of ontologies allows to overcome the problem of semantic heterogeneity and can ensure the supply of cataloging objects so that they become suitable for machine processing. Besides, it reveals the main problems of introducing an ontological approach for working with electronic catalogues, the solution of which requires further research. They are: the problem of automatically creating an ontology from existing data arrays; the choice of a domain modeling technique to ensure consistency in the development of new and created ontologies; the problem of generalization of ontology, the construction of metaontologies, combining various data and knowledge; the problem of combining presentation and information search; connection of users' requests and data binding to a certain position in the directory. The final goal is to identify the information need during the processing of the request for information search. Thus, it has been indicated that the ontological approach is one of the most promising for meeting the needs of users but it requires additional research.
A Secure Ranked Search Model Over Encrypted Data in Hybrid Cloud Computing

Abstract The security issue is becoming more and more prominent since user’s private information being outsourced to the somewhat untrustworthy cloud. Encrypting the information before uploading them to the cloud is one of ultimate solutions. Secure searchable encryption schemes and secure ranking schemes have been proposed to help retrieving the most relevant documents over the cloud. However the present methods are encumbered by the huge computing and communicating occupation of the cipher text. In this paper, a fully homomorphic encryption based secure ranked search model over the hybrid cloud is proposed. By introducing hybrid cloud, which typically composed by private cloud and public cloud, the high cost of computing and communicating of the cipher text is transferred to the trustworthy private cloud, in which the decrypting are performed. The client does not need to perform any heavy computations, thence making the secure ranking practical from the client’s point of view.
PREDIKSI PEMBERIAN KELAYAKAN PINJAMAN DENGAN METODE FUZZY TSUKAMOTO

Sentra Gadai is a place to borrow in Yogyakarta. Every day giving loans to customers. In granting a loan the Senta Gadai has a condition that is a loan size of 50% of the collateral price. If the loan is more than 50%, the Sentra Gadai sometimes still hesitate to provide the loan.The Loan Eligibility Prediction System is used to help the Sentra Gadai in making decisions by providing alternative estimates in determining the feasibility of borrowing by the customer. This prediction system uses Tsukamoto's fuzzy method in estimating the feasibility of loans to customers by having several criteria such as the duration of the loan, the price of the guarantee and the condition of the goods.This prediction system is based on desktop because it is only used by the Sentra Gadai and not to the public with the Java programming language and database using phpMyAdmin.Keywords :Prediction System, Loan,Fuzzy Tsukamoto
LibGuides: Current Awareness: Other useful LibGuides

This guide aims to get you started with a selection of current awareness services to help you stay up-to-date in your research field.
HySTER: A Hybrid Spatio-Temporal Event Reasoner

The task of Video Question Answering (VideoQA) consists in answering natural language questions about a video and serves as a proxy to evaluate the performance of a model in scene sequence understanding. Most methods designed for VideoQA up-to-date are end-to-end deep learning architectures which struggle at complex temporal and causal reasoning and provide limited transparency in reasoning steps. We present the HySTER: a Hybrid Spatio-Temporal Event Reasoner to reason over physical events in videos. Our model leverages the strength of deep learning methods to extract information from video frames with the reasoning capabilities and explainability of symbolic artificial intelligence in an answer set programming framework. We define a method based on general temporal, causal and physics rules which can be transferred across tasks. We apply our model to the CLEVRER dataset and demonstrate state-of-the-art results in question answering accuracy. This work sets the foundations for the incorporation of inductive logic programming in the field of VideoQA.
Article 10 ECHR and expressive conduct

There has been considerable case law and scholarship in the US on expressive conduct under the First Amendment, where the Supreme Court has recognised a ‘wide array of conduct that can qualify as expressive’, including burning the American flag, wearing a military uniform, wearing a black armband, conducting a silent sit-in, and refusing to salute the American flag. The purpose of this article is to discuss the European Court’s recent case law on expressive conduct, and in particular to assess in what circumstances, if any, domestic courts may impose prison sentences, even if suspended, on activists engaging in peaceful, but provocative and offensive, symbolic expression. The article describes and analyses how the European Court is developing its expressive conduct jurisprudence under the right to freedom of expression as guaranteed by Article 10 ECHR.
Analysis of the complex vegetation index considering greenness and shortwave infrared to determine anomalies in the vegetation spectral characteristics caused by hydrocarbon deposits

Summary In this study, the authors analyzed the possibilities of using the standard Normalized Difference Vegetation Index (NDVI) and the finer Vegetation Index considering Greenness and Shortwave infrared (VIGS). Above hydrocarbon deposits, the vegetation state is affected by metal oxides and dioxides formed during the oxidation of soil trace elements. This fact allowed the authors to suggest the possibility of using the VIGS-to determine the anomalies of the vegetation spectral characteristics caused by hydrocarbon deposits. In the course of the work, the Landsat ETM + satellite data were sequentially processed in order to statistically calculate the probability of detecting anomalies in the vegetation spectral characteristics. Anomalies were identified based on the calculation of the values of the vegetation spectral indices (NDVI and VIGS) for 26 pairs of polygons built within the known deposits and beyond them for areas with homogeneous vegetation. The probability of recognizing anomalies for the NDVI is 66%, for the VIGS - 75%. There is a significant (85%) correlation between the NDVI and VIGS values for gas and oil and gas and 90% for oil fields. This approach can be used as a means of additional exploration of hydrocarbon deposits in areas with known explored deposits and as an auxiliary one when performing geological prospecting works in order to identify new deposits.
Preregistration Of Machine Learning Research Design. Against P-Hacking

This brief provocation targets the mantra of the trade-off between accuracy and interpretability: the higher the accuracy, the lower the interpretability. It seems that this trade-off appeals to a deep-seated desire for magical thinking; the lure of things that work well even if we have no idea why. The suggestion is that in the realm of specific types of machine learning (ML), neither causality nor reasoning matters. Correlation and prediction are all that counts. The story goes that not just lay people, those using an ML application or those targeted by its decisions, but even those who developed the application cannot explain why it gets things right. I will confront this narrative from the perspective of ML research design, arguing that accuracy depends on the appropriate selection and curation of training and validation data, a properly articulated machine-readable task, a well-developed hypotheses space, and the selection of a relevant performance metric. The latter, indeed, may give rise to P-hacking: cherry picking the most favourable performance metric. This entails that accuracy in the realm of data should not be conflated with correctness in the realm of atoms. In other words, if we cannot explain why an ML application gets things right, we cannot be sure that it gets things right.
Individual Characteristics And Discipline Of Performance

This article analyze the individual characteristics and police work discipline on the performance of traffic police. Lumajang. This article used a quantitative approach and the testing of hypotheses, a population that is used is the police of traffic police, Lumajangthe sample collection and use of census. The method of analysis of the data used in the article it is multiple regression analysis. The result showed that significant individual characteristics have a positive impact on the performance of traffic police precinct Lumajang. Work discipline have a positive impact on the performance of traffic police precinctLumajang.
Psychological and Pedagogical Aspects of Age Dynamics of Social Competence of Adolescents and Young Adults of a Rural Institution of General Secondary Education

This article reveals the problem of age dynamics of social competence of adolescents and young adults in rural secondary education, due to trends in modern society, internationalization and globalization, economic transformation in the country, social reality and the main ideas of education reform; shows the need for the formation of social competence in students of rural educational institutions, which is associated with the need of young people for self-determination, the desire for self-affirmation, self-improvement; identified: the main indicators of social competence of the adolescent – responsibility; adequate self-esteem, consistent with the level of claims; formation of positive motivation for learning; possession of means of communication; formation of empathy, acceptance of social roles and high school students – adequate self-esteem; values of learning; formation of communicative skills; responsibility; formation of motivation to achieve and socially significant value orientations; self-esteem, self-acceptance, reflection; revealed the age dynamics of the formation of social competence of students by motivational (motives, needs, empathy, values of learning), cognitive (role flexibility, knowledge of personal characteristics, knowledge of norms and rules of interaction in society, goal setting), operational and behavioral, communication skills, possession of the means of organizing their behavior, social behavior skills), reflective (responsibility, self-esteem, social responsibility, conflict regulation, self-control, self-realization, adequate self-esteem, consistent with the level of claims) indicators.
High-efficiency infrared image super-resolution algorithm based on a cascaded deep network

Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution versions. Recently, powerful deep learning algorithms have been applied to SISR and have achieved state-of-the-art performance. In this paper, a high-efficiency infrared image super-resolution algorithm based on a cascaded deep network is proposed. In this method, the low-resolution infrared image is directly processed without the preprocessing of bicubic interpolation up-sampling that can reduce the complexity of the network and the amount of computation. The network structure consists of two layers of the network. The sub-pixel convolution in each layer can enlarge the image size by twice and make the input image size to reach the final high-resolution image size. Besides, we utilize multi-scale feature extraction blocks to extract features from the same feature image by using multiple convolution kernels of different sizes, which makes the feature image information more abundant. The experimental results show that the test speed of each image in our network is 0.046 seconds, which manifests our proposed algorithm has high efficiency of infrared image super-resolution.
A Smart Mobile Authentication Technique Using User Centric Attributes Classifications

The electronic gadgets including the smartphones and other accessories have become smarter and developed with the several sorts of sensors. Using these sensors various users centric attributes can be gained through mobile devices and can be used to define the user behaviour. In this context the proposed work is concentrated on developing a smart authentication system for mobile devices. This technique deals with the machine learning technique and the user attribute which are captured from the mobile devices and hence used for training and classification. Therefore the proposed technique is named as UAA (user attribute based authentication) system. In order to improve the classification performance a new hybrid classification model is also demonstrated and their performance is evaluated and compared with the two classification algorithms namely Bayesian classifier and C4.5 decision tree. The results demonstrate the proposed UAA technique is efficient and accurate for modelling the new generation authentication systems.
Klasifikasi Kompetensi Alumni Berdasarkan Masa Tunggu Alumni untuk Mendapatkan Pekerjaaan Menggunakan Metode Agoritma C4.5

Tracer Study is a search for information about alumni that aims to identify how much higher education graduates can move in the world of work according to the relevance of their education. In this study, tracer study data were obtained from a questionnaire distributed to alumni. The data consists of data from the last 5 years, namely 2015 to 2019, which is processed to find out how long the alumni have to wait for a job from the time of graduation based on competency. C4.5 algorithm is used to form a decision tree to see which competencies have the most influence on alumni in order to get a job in a short time. The results of the analysis carried out there are several competencies that most influence the waiting period of alumni to get a job, namely disciplinary education, time management, analytical skills and computer skills. The highest accuracy was found in 2016, which was 82.86%.
THE MAJESTIC 8: ROLES OF SONG AS LYRICAL AUDIO OF LISTENING MEDIA

The aim of this research was to find out the roles of songs in teaching listening at Senior High School. Teachers can use some media that are suitable with the condition of the class and students. For that reason, song is one of media that is familiar for students. Descriptive qualitative was the approach of this research. The data were derived from interview, observation and documentation. The interview were conducted by 7 participants consisting of 6 students and 1 teacher. The subject of this research was the twelve grade students of one of Senior High School in Surabaya. This study found 3 roles and 5 benefits of songs in teaching listening at Senior High School. The result of roles are 1) song is a cozy medium to teach listening. 2) song is used to entertain students in listening class. 3) song is used to motivate students to learn English in the classroom. Besides, the result of benefits are 1) the students can learn vocabulary and meaning. 2) the students can learn pronunciation. 3) the students can train their listening skill. 4) the students can enjoy the listening class. 5) the students became active and confident in the class. In conclusion, songs became one of good media in teaching listening because the students can feel comfortable, happy, and do not feel bored when they are in listening session. To all intens and purposes, there is a need to be conducted with having many participants for further research both different school or level. This is to get rich of the data in order to have more concrete data. Keywords: Roles of song, listening media
Corrections to “Countering Load-to-Use Stalls in the NVIDIA Turing GPU”

Presents corrections to reference material for the above named paper.
New Survey on Cyberstalking Victimization Using Routine Activities and Lifestyle Exposure Theories

Cyberstalking is one of several forms of cybercrime that describes a modern form of action where one or more people are targeted by technology. The goal of this study is to design and validate a method to investigate the prevalence of cyberstalking victimization and to increase awareness of risk ownership. There were two fields of criminological thought, Routine Activities and Lifestyle Exposure Theories [LRAT]. Finally, the survey is copyrighted with: “SURVEY ON CYBERSTALKING VICTIMIZATION” Universiti Teknologi Malaysia – All Rights Reserved. The designed questionnaire will assist the executive, legislative and judicial authorities, residents, low-makers, and others to make a real evaluation of this phenomenon and to test it generally in all societies.Keywords- Cybercrime, Cyberstalking, Cyberspace, Lifestyle Exposure Theory, Routine Activities Theory [RAT]..
THE FORMATION OF THE DESING CULTURE OF A UNIVERSITY STUDENT IN THE PROCESS OF DESING ACTIVITY

The article discusses the problem of the formation of the design culture of a university student in conjunction with project activities. The urgency of the problem is determined by the analysis of the state of higher education in the preparation of students of construction specialties. The authors of the research of scientific views on the problems of design culture have proposed their own interpretation of this concept, which consists in the fact that the design culture of a student at a technical university is an integrative characteristic of a person that implies stable values, the ability to analyze and predict the design process, rationally solving professional problems.
Research Guides: Studio Resources to support Media & Design during COVID-19: Images & visualizations

Resources for supporting the UT community working on media and design remotely during this crisis.
Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples

To ensure the wide adoption and safety of autonomous driving, the vehicles need to be able to drive under various lighting, weather, and visibility conditions in different environments. These external and environmental factors, along with internal factors associated with sensors, can pose significant challenges to perceptual data processing, hence affecting the decision-making of the vehicle. In this work, we address this critical issue by analyzing the sensitivity of the learning algorithm with respect to varying quality in the image input for autonomous driving. Using the results of sensitivity analysis, we further propose an algorithm to improve the overall performance of the task of ``learning to steer''. The results show that our approach is able to enhance the learning outcomes up to 48%. A comparative study drawn between our approach and other related techniques, such as data augmentation and adversarial training, confirms the effectiveness of our algorithm as a way to improve the robustness and generalization of neural network training for self-driving cars.
찰스 킹즐리의 『물의 아이들』에 나타난 초기 판타지 내러티브

The purpose of this thesis is to claim that Kingsley, a clergyman, reformer, and intellectual of the time, displayed unconscious conflicts between religion and science in his fantasy novel, The Water-Babies. In The Water-Babies, mythical narratives and scientific narratives appear at the same time, a phenomenon that was analyzed as unique characteristics of early fantasy narratives. First, I briefly looked at the history of fantasy narratives, and then analyzed the mythical aspects of The Water-Babies into the archetypes of water, mother, and opposites, and looked at the main character Tom’s journey to reach Self by achieving individualization through underwater travel. Finally, I looked at how scientific elements were incorporated in the middle of the novel, revealing Kingsley’s obsession with science. Through this research, it is possible to understand the ideas of the time, take a closer look at the characteristics of early fantasy narratives, and also get a glimpse of the potential development of fantasy narratives afterward.