Reviewerly/exHarmony huggingface dataset:
Blink and Wink Detection in a Real Working Environment

A simple and effective method of recognizing eye blinking in industrial conditions is presented. The developed method uses a camera built into safety glasses. The presented algorithm can be applied to recognize whether glasses are correctly put on – to check if employees use personal protective equipment. Recognition of open or closed eyes allows control by intentional winking. The algorithm uses only light sources present in the workplace and does not require infrared radiation (IR). The solution was tested on a set of 1797 eye photos recorded in a group of 10 participants. An analysis of the correctness of blink recognition and the correctness of the algorithm's operation in various lighting conditions was carried out. Experiments showed that the proposed algorithm met required project assumptions. The averaged results of blink recognition obtained using the developed method are: accuracy 96.5%, precision 93.8%, specificity 98.9% and sensitivity 84.9%. Additionally the algorithm is insensitive to changes in lighting and allows the use of one type of glasses for different employees.
Cross-World Predication in Belief Reports

Some sentences of natural language, construed in terms of possible world semantics, describe cross-world relations. Among them are some belief reports like I thought your yacht was larger than it is, and prescriptions about beliefs like You should not underestimate people. Standard modal semantics cannot capture the truth conditions of such sentences because, in standard semantics, predicates can only have intra-world extensions. In order to be able to analyze sentences of this sort, we need a semantics providing a cross-world interpretation of predicates and capable of evaluating sentences at sequences of possible worlds rather than single possible worlds. Butterfield and Stirling offered a system of temporal logic of this sort. More recently, Wehmeier offered an alethic logic of this sort. However, the applicability of their systems to relevant types of discourse is substantially restricted. In the paper, a semantic system is developed that is applicable to doxastic and deontic-doxastic contexts without restriction.
Enhanced reversible data hiding scheme for homomorphic encrypted absolute moment block truncation coding-compressed images

Because of gigantic specialized headways in communication and media, there is a requirement for web correspondence in various areas such as military, medicinal, and e-administration. To take into account this need for data security, a reversible data-hiding algorithm in an encrypted domain for absolute moment block truncation coding (AMBTC)-compressed images is proposed. To secure the content of the cover image, firstly an AMBTC compressed image is encrypted through homomorphic encryption and then a binary secret message in base<sub>4</sub> numeral framework is embedded at embeddable pixel values of the AMBTC-compressed image without occurrence of any overflow problem. The embedding rate can be additionally improved with no disintegration of the visual nature of the cover image. Highlights of the proposed algorithm are elimination of the overflow problem during data embedding in cover image and yielding a peak signal-to-noise ratio (PSNR) value of infinite decibels. The cover image and stego image are indistinguishable from one another. Visual quality of the stego images obtained through the proposed method is superior to all the other compared methods. The experimental results reveal that, with regard to the embedding rate and PSNR value for all test images, the proposed algorithm performed superior to other ones.
50 shades of gråzon - en analys av "oaktsam våldtäkt" i praxis

Last year, Sweden received new sex crime legislation. The limit for what is considered a rape now goes to whether one carries out sexual intercourse, or an act that is comparable to sexual intercourse, with someone who does not participate voluntarily. In addition, intent is no longer required, but it is now possible to be convicted of negligent rape. This thesis examines and analyzes the first three judgments where someone was convicted of negligent rape. None of them have yet been tried in higher court so there are no precedents yet. Therefore, it is worth looking at them more closely, even though they are “only” district court judgments.To be convicted of negligent rape, one must have intent on an act that is covered under 6: 1 brottsbalken but that one is grossly negligent that the other party does not participate voluntarily.
Implementation of Booking Performance Application Using Bootstrap Case Study in PT XYZ

Abstract—The need for information system development in a company is a basic requirement that must be met by each company in order to run its business processes properly. This is the basic key in a company in order to provide maximum results to find as many profits or profits. Application development or requirements in the application also provide speed for employees to carry out their activities to work properly and optimally. The development of the era requires that companies must be productive and have innovations so that the business wheel of the company can run well. This is based on the development of technology that is so fast that it requires special expertise in its application. This research is expected to be able to help some problems that exist in a company. Where its application can make it easier for employees to carry out their respective duties and roles in order to maximize their potential. For companies, the application of this application can accommodate the company's business wheels so that they can be properly and correctly documented .&#x0D; &#x0D; Keywords : Systems, Information, Applications
Project: Standardized Study Designs for Human-Computer Interaction

Project: Standardized Study Designs for Human-Computer Interaction We discuss a first version of a extensible study design for a generic image-sorting task. It allows for comparing qualitative and quantitative properties of different interaction styles (e.g., direct manipulation, CLI, tangible interaction), input modalities (e.g., mouse vs. touch screen), output modalities, and UI implementations. Therefore, the study design may be of use for designing reproducible and replicable studies. Stud…
YOUR Linked Data User Stories

Linked data is not just about “triples”, BIBFRAME conversion, catalogers and URIs, SEO with JSON-LD, etc. Linked data is about library users and how libraries can provide access to information in new ways, building on the rich cataloging information and other data that libraries have created over decades. Since its beginning, the IGeLU-ELUNA Linked Open Data Working Group has fostered the sharing of not just finished projects, but use cases for building new capabilities – and along the way, we identified things Ex Libris would need to do to make those capabilities happen. Inspired by use cases Harvard developed for Ex Libris, the LOD WG will solicit use cases and from the library community to help us see our users in the picture. In this session, we will start with a presentation from Honor Moody of Harvard about use cases Harvard provided to Ex Libris, share a few lightning talks for other user stories we've collected, and have time for an open discussion with YOU about what use cases you find compelling, ways to garner support from Ex Libris, and ways to bring these cases to reality .
Deterministic single photon subtraction using solid state emitters coupled to chiral waveguides

We provide analytical treatment and numerical solutions using input-output formalism to explore the experimental feasibility and efficiency of deterministic single-photon subtraction using a three-level quantum emitter coupled to a chiral waveguide.
Classical Machines, for Solving the Toughest Problems in Computer Science

Classical analog processors are now solving hard Computer Science problems that were thought to require a Quantum Computer. There are now classical machines that solve Ising type optimizations, opening the door toward other NP-hard problems as well.
Implementasi VoIP Sebagai Media Komunikasi pada Dinas Perhubungan Komunikasi Informasi dan Telematika Aceh

The purpose of this study is to design and build voice communication over IP networks using the Briker operating system. The use of VoIP Server to make calls from VoIP clients to fellow VoIP clients, and from people's VoIP numbers to one of the VoIP clients, and also looking for a comparison of public IP client and local IP voice delay at Dishubkomintel Aceh. The research method consisted of several stages namely; 1) System Design, 2) Network Topology, 3) Server-Side Design, 4) Client-Side Design, 5) Operating System and Application Installation, 6) Configuration, 7) VoIP Network Connectivity Testing, and 8) VoIP Work Observation. From the test results, several conclusions can be drawn namely; 1) VoIP Server Briker has a role in handling SIP calls from all registered clients into the Briker Server, 2) Between VoIP clients can communicate two ways with each other when registered into the Briker Server, 3) Calls to public VoIP are made by pressing '9' which used as Outbound routes then continued by pressing the destination number, and 4) Calls from VoIP of the people to VoIP are made by pressing the VoIP phone number of the people connected to the VoIP Server and then received by VRR (Voice Response Response) which will be directed to the extension number headed.Keywords:Voice Communication, IP Network, VoIP, Briker
3D Kidney Reconstruction from 2D Ultrasound Images

The use and analysis of ultrasound images (US) is one of the safest and most accessible ways to monitor and diagnose illness; however, expert knowledge is required for the interpretation of these images. The aim of this project is to propose a practical and low cost alternative for the visualization of anatomical structures in 3D from 2D B mode US images acquired as a video. In particular, this project focused on the 3D reconstruction of the kidney, which is an organ of great importance in keeping the blood clean and maintaining the body’s chemical balance. Our strategy consisted of acquiring the images with portable US equipment and applying digital image processing techniques such as filtering and segmentation in order, to then perform the 3D reconstruction of the anatomical structure of interest.
Graduate Integrated English Teaching Model Based on Cultivation of Academic Ability

Under the background of internationalized high education, English must serve the graduatesâ€™ research directly, and thus plays the true role of instrument. It is a tendency to choose a new teaching design which helps the cultivation of academic ability because of the urgent need of society. The article constructs an integrated English teaching model to cultivate graduatesâ€™ academic ability. The teaching model includes the combination of specialty with reading, writing and translation, the combination of class learning and internet autonomic learning and the team work of academic writing and oral presentation.
Saffron: A Data Value Assessment Tool for Quantifying the Value of Data Assets

Data has become an indispensable commodity and it is thebasis for many products and services. It has become increasingly important to understand the value of this data in order to be able to exploit itand reap the full benefits. Yet, many businesses and entities are simplyhoarding data without understanding its true potential. We here presentSaffron; a Data Value Assessment Tool that enables the quantification ofthe value of data assets based on a number of different data value dimensions. Based on the Data Value Vocabulary (DaVe), Saffron enables theextensible representation of the calculated value of data assets, whilstalso catering for the subjective and contextual nature of data value. Thetool exploits semantic technologies in order to provide traceable explanations of the calculated data value. Saffron therefore provides the firststep towards the efficient and effective exploitation of data assets.
Game Edukasi Siklus Hidup Hewan Berbasis Mobile

The 4.0 industrial revolution is a briliant era in the progress of technology. For this time, some schools are still applying conventional methods in the teaching and learning activities. This method is unefficient because the teacher need to write material on the board before explaining to the students. Especially on the material that there are a lot of pictures. Teachers need to draw first so that a lot of wasted time and also students become quickly bored. This research aims to develop an educational life cycle of the animal game-based mobile. This is made to solve the problems in the activities of teaching and learning in Special Program of Madrasah Ibtidaiyah Muhammadiyah (MIM PK) Wirogunan Kartasura. By playing the educational game, the students would not feel bored, also students become more interest to learn. This educational Game is developed based on the basic competence of Natural Science to Elementary School/Islamic Elementary Schools grade 4 curriculum 2013. The methods used in the development of this game is the Game Development Life Cycle (GDLC). The stages of the GDLC are initiation, pre-production, production, testing, beta, and release. This educational Game was developed using the software Construct 2 and mobile-based. So it could be played on android smartphone systems. The results of this research is the educational game life cycle of the animal-based mobile. Black-box testing shows that all the main functions of this educational game is running as expected. Meanwhile testing usability using the System Usability Scale (SUS) get the value of 73,167 which means this game is appropriate and feasible to use by students.
Winter Season Analysis of Global Warming Impact on Sivas Province

The climate has undergone various levels of change since the existence of the Earth. With the industrial Resolution, humankind has begun to be influential in climate change. Industrial revolution lead to unsteady greenhouse gases emissions that led to the global warming and consequent climate change impacts at different scales in various regions of the world. Accordingly, the seasonal periods started to change especially for seasons of Spring and Fall and consequently undesirable changes in the natural events started to occur such as excessive rain, outdoor temperatures above seasonal normal levels. Nowadays, global climate change is one of the most significant problems that mankind has to front with respect to its results. Due to global warming the Turkish province of Sivas is in a sensitive position because of its location. In this study, Sivas province is studied in terms of monthly and seasonal temperature trends. The temperature trends are analyzed by the use of linear regression techniques and the results indicate a significant rise in temperature trends.
A Flexible Schema for Document Oriented Database (SDOD)

Big data is emerging as one of the most important crucial issues in the modern world. Most studies mention that a relational database cannot handle big data. This challenge has led to the presentation of the not only structured query language (NoSQL) database as a new concept of database technology. NoSQL supports large volumes of data by providing a mechanism for data storage, retrieval and more flexible than a relational database. One of the most powerful types of NoSQL database is the document-oriented database. Recently, many software developers are willing to migrate from using relational databases to NoSQL database because of scalability, availability, and performance. The document-oriented database has challenged as to how to obtain an appropriate schema for the document-oriented database. The existing approach to migrate a relational database to a document-oriented database does not consider all the properties of the former, especially on how to handle various types of relationships. This research proposed a flexible schema for a document-oriented database (SDOD). This study evaluated the development of agility based on the schema of a document-oriented database and query execution time. The evaluation verifies the reliability of the proposed schema.
ResCap: Residual Capsules Network for Medical Image Segmentation

Convolutional neural networks (CNNs) have shown remarkable results for a wide range of task in computer vision.However, CNNs has the limitation of poor translation invariance and lack of information about pose; thus, it requires a lot of data.Capsule networks, however, have the ability to preserve information about the pose.In this paper, we present a capsule-based network for medical image segmentation.We adopt the contracting path of the U-Net architecture.The network achieves the same accuracy as U-Net but is much smaller (0.16% number of parameters compared with U-Net).
Applying ORCID in Chinese Academic Services

Applying ORCID in Chinese Academic Services was presented by Amy Wang at the ORCID China Workshop on September23, 2019.
Identify Theft Detection on e-Banking Account Opening

Banks are compelled by financial regulatory authorities to demonstrate whole-hearted commitment to finding ways of preventing suspicious activities. Can AI help monitor user behavior in order to detect fraudulent activity such as identity theft? In this paper, we propose a Machine Learning (ML) based fraud detection framework to capture fraudulent behavior patterns and we experiment on a real-world dataset of a major European bank. We gathered recent state-of-the-art techniques for identifying banking fraud using ML algorithms and tested them on an abnormal behavior detection use case.
Measuring and Avoiding Information Loss During Concept Import from a Source to a Target Ontology

Comparing pairs of ontologies in the same biomedical content domain often uncovers surprising differences. In many cases these differences can be characterized as “density differences,” where one ontology describes the content domain with more concepts in a more detailed manner. Using the Unified Medical Language System across pairs of ontologies contained in it, these differences can be precisely observed and used as the basis for importing concepts from the ontology of higher density into the ontology of lower density. However, such an import can lead to an intuitive loss of information that is hard to formalize. This paper proposes an approach based on information theory that mathematically distinguishes between different methods of concept import and measures the associated avoidance of information loss.
Message from the Editor-in-Chief and from the Associate Editor-in-Chief

Welcome to the November 2019 issue of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Transactions on Visualization and Computer Graphics</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TVCG</i> ). This issue contains selected papers accepted at the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), held this year in Beijing, China from October 14 to October 18, 2019.
Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences across Registers

A substantial body of research has demonstrated that children and adults (both native and non-native speakers) are sensitive to the statistics of multiword sequences (MWS) and rely on knowledge of such statistics to facilitate their language processing and boost their acquisition. However, this research was primarily aimed at determining whether and to what extent speakers can develop sensitivity to MWS statistics of a single type of linguistic input: that of spoken language. Recently, there has been a growing awareness of the key role of written input in the development of linguistic knowledge, as it provides a source of substantial change in the statistics of an individual’s language experience. The present study reports on a series of experiments designed to determine whether second language learners of English are able to develop sensitivity to distributional statistics of MWS inherent in different (register-specific) input types.
PENGARUH MODEL PEMBELAJARAN MIND MAPPING TERHADAP HASIL BELAJAR IPA KELAS V PADA MATERI ALAT PERNAPASAN MAKHLUK HIDUP

The learning outcomes of science grade V students are categorized as still below the KKM. It is known that the value of VA class students is 67.5, while the VB class is 65.3 with KKM 70. The low learning outcomes in the science lesson are because the learning process is more teacher-centered because it always uses the lecture method, the teacher does not do much variation in science learning. Learning atmosphere becomes boring, students also lack enthusiasm in learning. The problem formulation of this study is whether there is an influence of mind mapping learning model on the learning outcomes of grade V science in breathing material of living things in Tomang 11 Pagi Elementary School. This study aims to determine whether there is an effect of mind mapping learning model on learning outcomes of grade V science in breathing material of living things in Tomang 11 Pagi Elementary School. The research used is quantitative research with One Group Pretest-Postest Design method. The sampling technique used is nonprobability sampling of Purposive Sampling forms. Which consists of VB grade students with a total of 30 students. The results of the study were obtained by using the t test which showed that t count = 2.445> t table = 2.064 with a significance of 0.022 <0.05 then H0 was rejected and accepted H1. It can be concluded that there is a positive and significant influence between mind mapping learning model on class V learning outcomes in breathing material of living things in Tomang 11 Pagi Elementary School. Â  Keywords: mind mapping learning model, science learning outcomes
Kesulitan Menyimak dan Strategi Mahasiswa dalam Memahami Bagian Listening Comprehension pada Tes TOEIC

This study is aimed to identify the difficulties to comprehend listening activities experienced by students and their strategies in understanding Listening Comprehension section of TOEIC test. Descriptive qualitative method was employed to find out and analyze the difficulties and strategies the students implemented. The research was carried out at English Department of Politeknik Negeri Bandung with the population of the third semester students in Academic Year 2017/2018.  There were 22 students as the subject in this study. Data were collected by questionnaires and interview to confirm students’ answers. The results showed that the major problems encountered by students were unfamiliar vocabulary, accents of the speaker, speed of speech, lack of concentration, and quality of recorded materials. Listening strategies implemented by students were mostly metacognitive strategy since in this strategy they obtain the awareness of the materials they are listening to in a more cautious way. This method is about the ways of planning, monitoring and assessing the collected information from the listening section the same as pre listening activities. Students applying metacognitive strategies have the benefits such as they can use appropriate learning strategy to master learning materials; they comprehend learning materials more quickly and integrate the knowledge seriously; they put themselves to be loyal receivers and can be properly adaptable to all conditions; they have high confidences in themselves to get help when needed from their peers, teachers, or family; they pay attention to the materials and assess themselves as to how to be successful learners; and they properly deal with the problems in doing their task. Keywords : Students’ Difficulties, Listening Comprehension, Listening Strategies