Reviewerly/exHarmony huggingface dataset:
60 Years of Economics and Business Studies

The presented work presents a comprehensive view of the milestones and vision of the development and operation of the Faculty of Economics and Business. The monograph presents individual areas of work at the EPF, namely a brief presentation of the faculty and individual study programs today. Chairs and field of work of professional services are presented. The EPF has also progressed internationally lately, as evidenced by the accreditations and exchanges of students and staff. The research activity is presented with some achievements. Students at all levels of study are increasingly becoming involved. We also publish the scientific journal Our Economy. Contributors to the library co-facilitate the study and research process. The career center and the strategic world are influential in the development of our pedagogical work and student competencies.
Circles: exploring multi-platform accessible, socially scalable VR in the classroom.

In this paper, we describe a work-in-progress VR platform for education called Circles, as well as its associated background motivations, and relevant related work. We highlight the platform’s experiential learning opportunities, but also its contributions towards developing socially scalable interactions to enhance collaborative learning and increased VR accessibility by supporting multiple virtual reality platforms (desktop, mobile, and HMD). We also briefly discuss some pilot studies around the development of three virtual environments highlighting the story of Canadian civil rights pioneer Viola Desmond through explorative narrative.
EOG-BASED SYSTEM FOR EYES MOVEMENT DETECTION

In this study, we analysis and identify the signals and data of the Electrooculography (EOG) for the movement of the eyes by identify the potentials using the wavelet algorithm. The electrode are placed horizontal and verticle from the eyes with 1cm away from the eyes to record the movements of the eyes. The wavelet algorithm is using to determine the characteristics movement of the eyes signals because the eyes will show its characteristics when its moving by see the signal since the energy of the eyes is the important parts in signal analysis. The eyes will move in a four direction which is upward,downward,left and right and all the movement of the eyes data will be recorded. The energy distribution from the eyes in a change of time and frequency need to be compare by using the Wavelet Transform(WT) to analysis the signal and data of the eyes movement. Then, wavelet scalogram need to be plotted in order to display the different of the percentages of the energy from each wavelet coefficient for the movements of the eyes. The result will proved that the change of EOG will shows the different of the signals energy with the different scale for the eyes such as left with scale 6(8-16Hz), right with scale 8(2-4Hz),downward with scale 9(1-2Hz) and upward with scale 7(4-8Hz).
Underwater Image Enhancement Using Dark Channel Prior and Image Opacity

In this paper, we propose to validate the capabilities and limitations of the Underwater-ready Dark Channel Prior Algorithm. Also, a set of modifications of this algorithm are proposed for underwater images in different lighting conditions. In addition, a blurriness-based index is proposed, in order to confirm or not the use of any of the Dark Channel Prior modified algorithms.
Digital Literacy Qualitative Analysis in Vocational Teachers

The challenges of digital media in learning today are demanded better by the demands of the digital era which are increasingly high in people's lives today.Teachers provide teaching materials with traditional learning media which certainly has an impact on the asking and motivation of students in accepting and developing these lessons.So that teachers are demanded of digital development nowadays to be able to literate digital media in learning.For this reason, this study aims to reveal the digital literacy of teachers in the use of instructional media in the classroom.The research method used is a qualitative descriptive method.Taking research subjects using purposive sampling method.The main instrument in this study was the researchers themselves who were assisted by assistive instruments in the form of depth interview guides.The study was conducted on 4 Vocational Schools consisting of 1 Vocational School in the City of Bandung, 2 Vocational Schools in West Bandung Regency,and 1 Vocational School in Bekasi Regency .The subjects of this study were productive teachers who were in the Vocational School totaling 6 teachers.This interview wanted to reveal about the types of digital media use inside and outside the classroom, the reasons for using digital media, how to use digital media and the obstacles experienced by teachers in using digital media.This research hopes to provide recommendations to vocational teachers, especially productive teachers in digital literacy, the use of learning media in schools and policy makers in schools to support digital facilities that support the learning needs of teachers and students in schools.
Proposal on Speed Improvement Focusing on Dynamic Characteristics of Unit in peristaltic motion Type Duct Cleaning Robot

Periodic cleaning is necessary for the duct which performs ventilation inside the house. However, existing duct cleaning tools are difficult to clean thoroughly. Therefore, a duct cleaning robot is required. In the previous study, we focused on a peristaltic motion type robot and developed a peristaltic motion type duct cleaning robot for 75 A duct. We conducted a cleaning experiment. The usefulness of a peristaltic motion type robot was confirmed from a speed of 6.1 mm / s and a cleaning rate of 99%. Therefore, in this paper, we first develop robots that are compatible with 50 A ducts that are popular in Japan. However, it is difficult to achieve the target speed simply by miniaturizing the conventional robot. Therefore, we propose speed improvement by the control method focusing on the dynamic characteristics of the unit. Finally, we conduct a driving experiment and confirm its usefulness.
Who Holds the Right to Exclude for Machine Work Products?

This article investigates whether the inventions and works created by Artificial Intelligence should be patent-able and copyright-able and if so, who should be assigned these rights. This article uses US case law and incentive economics to answer these questions. This article discusses who of the machine, its creators, owners, or operators should be assigned the rights to exclude others if policymakers want to promote the progress of science and useful arts. All four candidates raise legal problems. Based on current law, the users may be able to patent their invention but other works would fall into the public domain. Assigning exclusion rights to any party distorts the incentives of the other parties. The Intellectual Property system is maladapted to deal with these intelligent machines. Instead, these inventions and works should fall into the public domain. The four candidates can use alternative business models to profit from the machine’s creations.
PENGARUH MODEL NHT BERBANTU MEDIA ULAR TANGGA TERHADAP HASIL BELAJAR SISWA KELAS IV DI SD N 02 UJUNG PANDAN JEPARA

Abstract This study aims to determine the effect of snake-media media-assisted NHT (Number Head Together) model on the learning outcomes of Grade IV students in theme 6 sub-theme 1 in SD Negeri 02 Ujung Pandan Jepara Year 2018/2019. This type of research is quantitative research in the form of a Pre-Experiment Design with the design of the Pretest-Posttest One Group. The population in this study were all fourth grade students of SD Negeri 02 Ujung Pandan Jepara. The sample taken was 22 fourth grade students with Probability Sampling technique in the form of saturated sampling. The data in this study were obtained through tests, documentation, and questionnaires. The results showed that the percentage of posttest classical learning completeness (91%) was more than the percentage of classical learning completeness pretest (32%) and based on the results of one-party t test it was known that tcount was more than t table (9.413> 1.721). From these results it can be concluded that H0 is rejected. In other words there is a positive influence on snake-media media-assisted NHT (Number Head Together) learning model on the learning outcomes of class IV theme 6 sub-theme 1 in SD Negeri 02 Ujung Pandan Keyword: NHT Model, Snake Media Ladder, Learning Outcomes.
Parallel Tasks Processing using Polarization Multiplexing Reservoir Computing Based on a VCSEL with Polarized Optical Feedback

The parallel tasks processing by reservoir computing (RC) using two polarization-resolved modes in a single vertical-cavity surface-emitting laser (VCSEL) has been proposed, and a good performance could be obtained in broad parameter regions.
Estimasi Biaya Perangkat Lunak Menggunakan Metode Function Point Analysis (Studi Kasus: Sistem BKD Universitas XYZ)

Software effort estimation was considered importantly in planning stage of information technology and communication projects as a determination of resource allocation. The level of accuracy in estimating the cost that must be done in order to minimize failure. On the other hand, there have been many studies that have discussed and tested the business estimation method, one of which is Function Points (FP). The FP method is influenced by 5 main parameters and 14 items relative complexity factors. So it can be concluded that if, a tertiary education institution, wants to develop an BKD (Lecturer Performance Load) application to support its business processes, the required cost is IDR 42,181,198 or equivalent to an effort of 3,273.11 man / hour.
CMLBPIncoherent: a New Contextual Image Descriptor for Scene Classification

Scene classification has been widely studied in the last years and is a significant computer vision problem.Currently, this application has been involved by several researchers, since the creation of robust datasets until the utilization of high-level techniques with great performance.However, due to the high complexity and variability from scenes, there is still so much to be studied and implemented aiming to improve better results.This paper proposes a new visual descriptor for scene classification, the CMLBPIncoherent, which models the distribution of local structures through Local Binary Pattern (LBP) algorithm combined with contextual information, and discards homogeneous regions by Color Coherent Vector (CCV) algorithm.The proposal was tested using some traditional scene databases and the results illustrate a better performance in comparison with other visual descriptors known in the literature.
Playground Algorithm as a New Meta-heuristic Optimization Algorithm

This paper presents a new meta-heuristic algorithm called Playground algorithm. The Playground algorithm is designed to model social interaction amongst children, and the mechanisms and operators of the algorithm are inspired by the model of child interaction and engagement in games during a child's stay at the playground. In order to evaluate the performance of the algorithm, a series of tests were performed over a class of functions selected so that they possess properties such as: multimodality / unimodality, (non) separability, (non) differentiability, (non) convexity, existence of ridges and valleys and multidimensionality. During testing, the values of the algorithm parameters are varied, in order to determine their recommended values. The analysis was carried out with an overview of the effects of the algorithm parameters on the performance of the algorithm in the problem area, performance in the criterion domain, and the execution time.
Library Guides: Trinity LibTech Research Showcase 2019: NAISC: A Linked Data Interlinking Approach for the Library Domain

An archive of the research presented at the Trinity LibTech Research Showcase, held as part of the 2019 LIBER Conference
Il falso letterario dall’Antichità al Rinascimento

https://doi.org/10.14195/0870-4112_3-5_14
ANALISIS KRITIS TERHADAP PERENCANAAN PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) TIPE PHOTOVOLTAIC (PV) SEBAGAI ENERGI ALTERNATIF MASA DEPAN

Electrical energy needs will continue to increase in line with the needs of the community, both on an industrial scale and the household in general. On the other hand the supply of fuel oil and coal as a driving force for power station centers is increasingly depleting. Because of that, a lot of research is needed to obtain renewable energy, as well as being environmentally friendly. One of the abundant energy sources in Indonesia is water resources. Utilization of water resources can be done by building a Micro Hydro Power Plant (MHPP). Based on the results of the study through literature studies, from as many as 13 journals (in 2009-2019) it can be seen that in Indonesia there are still many regions that have not yet received electricity supply from PT. PLN, with the following reasons: (1) the availability of PT. PLN is not enough to meet the needs of the community; and (2) many areas are located far from the PLN electricity network; and (3) many regions whose infrastructure does not support the expansion of the PLN electricity network. This condition is hampering the speed of economic development in the regions concerned. The study found that: (1) there were 13 points of water resources that could potentially be built by MHPP with electrical power varying depending on the amount of water resources concerned; and (2) from the results of the study, there are a number of studies that have been implemented and some of them are still in preparation for the construction of the MHPP.
Discourse – Practice – Crime

Kriminologie - Das Online-Journal | Criminology - The Online Journal (KrimOJ) is the first open access journal in the field of criminology initiated from Germany. The three-monthly journal makes all contributions available to its readers free of charge. However, authors are not charged any costs either. The journal offers a scientific forum for all relevant disciplines. KrimOJ is designed for anyone who is interested in the academic debate surrounding issues in the field of criminology. For this reason, we publish articles in both German and English.
HyperHamlet: A Database of Quotations from and Allusions to Shakespeare's Most Famous Tragedy

The HyperHamlet corpus - a digital humanities project at the university of Basel - is a databank of references to Shakespeare's much-quoted play Hamlet. Research into quotations has traditionally focused on the way in which individual texts, authors or genres refer to their sources. HyperHamlet, on the other hand, takes its source text as the point of departure and thus makes studies about post-Shakespearean recycling processes possible. HyperHamlet helps trace and investigate reappropriations of Hamletean motifs and phrases not only in fictional genres, but also in non-fiction. To date the corpus comprises about 10,000 data sets from four centuries ranging from the occurrence of a single keyword to book-length adaptations. Moreover, the database is designed to accommodate not only Shakespearean traces in English, but other languages as well.The enormous heterogeneity of the material entails a careful elaboration of the annotation structure to ensure sensible data retrieval. The annotation structure in turn documents the wealth of intertextual strategies. As it turned out much-used categories, such as the differentiation between allusion and quotation had to be reevaluated while rarely noticed differentiations, such as the variety of marking devices for the presence of an intertextual reference, had to be worked out. What is more, the study of form and function of quotations as a linguistic, a literary and a cultural phenomenon is one of the possibilities to bridge the gap between the philological sister disciplines of linguistics and literary and cultural studies.
Key Factors' Clustering for Records with Mixed Data

A table usually contains numerical and symbolic data, so a method is proposed for clustering the records of the table. First, by using the improved function (TF-IWF) of the term frequency-inverse document frequency (TF-IDF), the symbols are transformed into the corresponding numerical values, and the remaining numerical values remain unchanged. On the basis of data transformation, the principal factor iteration method and maximum variance rotation method are used to discover the key factors that affect the clustering of the records. And the scores of the key factor are obtained by the least square method. Then k-means algorithm is used to cluster the scores, and finally the clustering results of the records are obtained. experimental results show that the evaluation indexes of the proposed method are better than those of other clustering methods, and the proposed method is helpful to dimensionality reduction and extract the latent important features of different clusters, so that each cluster can be labeled precisely.
Adversarial Framework for Neural Networks

Adversarial examples are intentionally created inputs to machine learning models that can could unexpected mistakes in the output. These malicious inputs can be dangerous for systems where high reliability are required. In order to test (or deceive) our models against such attacks, we can generate test inputs with various methods.The purpose of my work is to create a universal framework which can simplify the process of adversarial example generation by hiding the mathematical background of the generation with a simple interface. The program will be capable to load (TensorFlow or Keras based) neural network models and generate adversarial inputs with built in methods
Diskurs – Praxis – Kriminalität

Kriminologie - Das Online-Journal | Criminology - The Online Journal (KrimOJ) is the first open access journal in the field of criminology initiated from Germany. The three-monthly journal makes all contributions available to its readers free of charge. However, authors are not charged any costs either. The journal offers a scientific forum for all relevant disciplines. KrimOJ is designed for anyone who is interested in the academic debate surrounding issues in the field of criminology. For this reason, we publish articles in both German and English.
A Study on the on-site Assessment Results of Environmental Testing Laboratories

Quality control systems of environmental testing laboratories are operated on the basis of proficiency tests and on-site assessments conducted in nine fields of testing laboratories.In this study, the assessment results of quality control systems present in environmental testing laboratories are analyzed with respect to their conformance with international standards(ISO/IEC 17025).The assessment results of quality control systems of 357 environmental testing laboratories indicate that the majority of the targeted laboratories meet the conformity requirements but 10 laboratories do not meet the conformity requirements.According to the score distribution, the waste testing laboratory and persistent organic pollutants testing laboratory have the highest scores of 88.2 points and 87.6 points, respectively.The air quality testing laboratory and odor testing laboratory have the lowest scores of 82.3 points and 80.1 points.Furthermore, the overall average score has increased from 84.0 points in the year 2012 to 85.4 points in the year 2016.
Intersection Types for the Computational lambda-Calculus.

We study polymorphic type assignment systems for untyped lambda-calculi with effects, based on Moggi's monadic approach. Moving from the abstract definition of monads, we introduce a version of the call-by-value computational lambda-calculus based on Wadler's variant with unit and bind combinators, and without let. We define a notion of reduction for the calculus and prove it confluent, and also we relate our calculus to the original work by Moggi showing that his untyped metalanguage can be interpreted and simulated in our calculus. We then introduce an intersection type system inspired to Barendregt, Coppo and Dezani system for ordinary untyped lambda-calculus, establishing type invariance under conversion, and provide models of the calculus via inverse limit and filter model constructions and relate them. We prove soundness and completeness of the type system, together with subject reduction and expansion properties. Finally, we introduce a notion of convergence, which is precisely related to reduction, and characterize convergent terms via their types.
PS I Love You: Privacy Aware Sentiment Classification

At first glance, one might think that people are aware of the availability of comments or posts on social networks. Therefore, one may believe that people do not share sensitive information on public social networks. None theless, people’s posts sometimes reveal susceptible information. These posts include mentions the use of drugs or alcohol, sexual preferences, intimate confessions and even serious medical conditions like cancer or HIV. Such privacy leaks could cost someone to get fired or even worse to be avictim of denial insurance or bad credit evaluations. In this paper, we propose a complete process to performa privacy-preserving sentiment analysis trough Bloom filters. Our approach shows an accuracy difference between 1% and 3% less than their classic sentiment analysis task counter part while guarantying a private aware analysis.
Proposition of a grasping system using a scroll chuck for a lunar excavation robot

In order to process lunar underground excavation, we have developed a lunar earthworm-type excavation robot ("LEAVO"). As we achieved vertical excavation with it, we now aim to perform curving excavation to make LEAVO be able to collect samples more efficiently in a particular layer. To achieve this goal, it is necessary for the LEAVO's excavation sub-units to support the robot on different borehole diameters, because the diameter enlarges in curves. As the previously developed curving excavation system could not support correctly the robot in the curves, we propose in this paper a "grasping system using a scroll chuck" and test its output characteristics. By doing so, we will conclude if it can be applied in a curving excavation system.
Research on still image activity recognition based on deep learning

The purpose of image activity recognition is the understanding of human visual behavior presented in images, and marking the identified activity picture with a pre-defined category label. Still Image activity recognition plays an important role in the field of image recognition. But now, the performance of activity recognition has not reached satisfactory results. In this paper, we construct a hybrid recognition model combined with Region-CNN (RCNN), AlexNet and SVM (or Random Forest model), which can effectively improve the performance compared with each single method. Firstly, the main object regions in an image are extracted using RCNN, then for each object region, the AlexNet is implemented to extract features, finally, all these object features are concatenated together and construct a SVM classifier (or Random Forest classifier) for still image activity recognition. The experimental results on still image dataset including 40 activity categories show that the hybrid model achieves better performance compared with single CNN model and other traditional methods. The AlexNet model only achieves an accuracy of 69.48%, the hybrid model of RCNN, AlexNet and SVM achieves an accuracy of 75.48%, and the hybrid model of RCNN, AlexNet and RF even reaches 78.15%, which verifies the effectiveness of our method.