Reviewerly/exHarmony huggingface dataset:
Secure Client and Server Geolocation Over the Internet

In this article, we provide a summary of recent efforts towards achieving Internet geolocation securely, \ie without allowing the entity being geolocated to cheat about its own geographic location. Cheating motivations arise from many factors, including impersonation (in the case locations are used to reinforce authentication), and gaining location-dependent benefits. In particular, we provide a technical overview of Client Presence Verification (CPV) and Server Location Verification (SLV)---two recently proposed techniques designed to verify the geographic locations of clients and servers in realtime over the Internet. Each technique addresses a wide range of adversarial tactics to manipulate geolocation, including the use of IP-hiding technologies like VPNs and anonymizers, as we now explain.
Scientific and methodological support for the development of pedagogical skills of teachers of musical art in postgraduate pedagogical education

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PENERAPAN TEKNOLOGI SEBAGAI MEDIA PEMBELAJARAN PADA MATA PELAJARAN SOSIOLOGI

Considering that we are now living in the 3rd millennium of course the use of technology is inevitable including in the world of education, technology is a tool that is often used to make learning media in addition to the practical side, the use of technology in learning is also included in the demands the world of education, the use of technology is also the main attraction for students because students tend to be more enthusiastic in learning. Media is a way of channeling the mandate between teachers and students, the mandate here means subject matter in which there is a message that must be understood by students, hence the selection of learning media is very important so that the message conveyed by the teacher to students can be conveyed maximally and students can understand the message conveyed by the teacher. In addition to the selection of learning media to understand the character of students, understanding the classroom atmosphere must also be noted so that the learning outcomes are achieved. The use of technology as a learning media in sociology subjects also has its own advantages because it usually sees social phenomena directly plunging into the community environment but with the existence of technology we can see social phenomena in technology.
PERANCANGAN SISTEM INFORMASI PELAYANAN JASA TENAGA KERJA BERBASIS WEB MOBILE PADA PT. AVAVA DUTA INDONESI

This study aims to build an information system that is able to provide labor services at PT. Avava Duta Indonesia. At this time there is no system that handles labor registration as well as information media facilities, so that it can be seen by the wider community, so that the current process is still carried out manually, such as job information infused through the mass media. So the system was designed that was able to handle the process using the Object Oriented Analysis and Design (OOAD) method and the description of system design using the Unified Modeling Language (UML). With this system built, the process of finding labor in the field of security and hygiene does not have to go through mass media, just make a post that has been provided in the system design that will be made later, applicants also no longer need to send applications in the form of files because applicants simply register and upload the application file, that is needed in the form of soft files. In addition the client can also post job openings on the system to be created later. The results of this study are intended to be able to design a mobile web-based application, so that it can be accessed through internet media by related parties, both PT. Avava Duta Indonesia itself as well as the Client and the general public in general.
Observer adaptation to unnatural CT-like noise textures

X-ray computed tomography (CT) has become widely used as a diagnostic tool in radiology and other medical specialties. CT images are noisy, and the dependence of noise on the radiation dose to the patient ensures that there will always be interest in how much noise can be tolerated before diagnostic performance is significantly degraded. However, relatively little is known about how human observers extract information from such images in the presence of textured noise and normal anatomical variability. In this study, we evaluate human observers in relatively simple forced-localization studies across two target sizes and 12 different Gaussian noise textures. The noise textures have power-spectra that reflect different levels of anatomical variability, and different levels of processing (apodization) in the image reconstruction process. We analyze observer performance using efficiency with respect to the Ideal Observer as a benchmark for how effectively observers can extract diagnostic information and classification images to demonstrate how they extract it. We find efficiency in these forced localization tasks is generally quite high, ranging from 20% to almost 80%. The lowest efficiency is found in conditions with the least “natural” statistics. The classification images show modest adjustment of bandpass frequency weights in response to the different noise textures, and also suggest that a substantial component of the lowest efficiency conditions comes from inability to effectively use the lowest spatial frequencies. We also show that the classification images, when used as a scanning linear template, can explain 86% of variance in average efficiency across all conditions.
Cyber Security Analysis for Advanced Train Control System (ATCS) in CTC Systems: Concepts and Methods

Advanced Train Control System (ATCS) is a proprietary network protocol that expands the functionality and efficiency of Centralized Traffic Control (CTC) systems, by using radio communications (radio code line) for message delivery. However, end-to-end cyber security issues were not considered during initial design of ATCS in the 1980s. Meanwhile, the landscape of cyber-physical threats and vulnerabilities has changed dramatically over the last three decades. Even though cutting-edge systems like Positive Train Control (PTC) have adopted security properties such as integrity check and encryption methods, major railroads in North America still deploy legacy ATCS standards to maintain their individual CTC system. This paper first illustrated the background and general specifications of ATCS applications in North American railroads. The research team has noticed that few studies have systematically analyzed this topic since the emergence of ATCS, though its applications are still prevailing in the industry. Divided by both vital and non-vital operational scenarios, this paper presented case studies for ATCS-related vulnerabilities. We used a sender-receiver sequencing-based analysis and proposed a consequence-based simulation model to identify and further evaluate the cyber and physical risks under potential cyber-attacks. For the identified risk, the paper evaluated the likelihood based on the practical operational sequences, and recommended potential countermeasures for the industry to improve the security over the specific case. The research concluded that the fail-safe design in the ATCS systems would prevent the exploiting known security vulnerabilities which could result in unsafe train movements. However, the service disruptions under certain speculated attacks need further evaluation. At the end of this paper, we discussed our ongoing work for disruption evaluation in the wake of successful cyber attacks.
SISTEM INFORMASI MANAGEMEN DAN AKUNTANSI BARANG MILIK NEGARA DALAM PENERAPAN AKUNTANSI BERBASIS AKRUAL

One of mandate from Law No. 17/2003, which is one package of the State Finance Regulation, is the implementation of accrual accounting is believed to contain a better policy planning and a more informative approach to asset management. The reform of accounting practices in the government sector has strongly influenced property asset management. On a global scale, implementation of accrual basis as a way to bring the government believed to be more accountable and transparent in the use of resources and government policies in order to execute and perform the duties of State. Indonesia has implemented an asset management system of the State, namely Information Systems and Management of State Assets (SIMAK-BMN) which is part of the Agency Accounting System (SAI). SIMAK-BMN process acquisition of transaction, changes and removal of BMN to support Financial Accounting System (SAK) to Consolidated Balance Sheet. In addition, this system produces various reports, books, and cards that provide managerial information in the management of BMN. Administration activities and reporting of State Property by SIMAK-BMN is a standard in determining of value asset state which proper, correct and reliable. SIMAK - BMN besides supporting the implementation of the accountability, also provide various informations to the management public goods. One such issue is the relationship between accounting reform and asset management reform. This issue is a bundle of accounting issues: (1) how far should asset valuation on the balance sheet be pushed for real properties the government owns, (2) how does shifting to accrual-based accounting standards affect property accounting and management, and (3) how much importance should asset management policy attach to accounting rules?
The IMPROVING THE ABILTY OF READING QUR’AN USING THE IQRA METHOD IN SDN 262 PANYILEUKAN BANDUNG

This article discusses the problems in reading the Koran which are good and right in accordance with the rules of Al-Qur'an reading, which indeed not a few high school elementary students in terms of the ability to read it is still very low. The correct Qur'an reading rules are measured from the level of fluency, Makhorijul letters, Tajweed, Tartil, Understanding and Kefashihan. However, in the study found in the field whose value was lowest when measured, namely in terms of reading with Tartil, the author reacted to it by using the Al-Qur'an reading method which was quite popular in learning using the Iqra method. The purpose of this study is to find out how the application of the Iqra method in improving the ability to read the Qur'an.Tujuan dari penelitian ini yakni untuk mengetahui bagaimana penerapan metode Iqra dalam meningkatkan kemampuan membaca Al-Qur’an.
Ciudades virtuales, educativas e igualitarias: las tecnologías de la información y la comunicación (TIC) y los niños con trastorno del espectro autista (TEA)

espanolCuando un nino es diagnosticado con el Trastorno del Espectro Autista (TEA), diversos especialistas comienzan a trabajar, en busca de terapias que favorezcan su desarrollo integral y su calidad social. Este estudio pretende establecer que objetivos persiguen los profesionales en las terapias y conocer que relacion tienen con las TIC en su labor profesional. Han participado 49 especialistas, con una experiencia que va desde menos 5 anos hasta mas de 15, y con una formacion inicial que varia entre 9 titulaciones (Psicologos, Maestros,…). Los resultados muestran que el principal objetivo en las terapias es que los ninos sean cada vez mas autonomos en sus actividades cotidianas y que logren integrarse y realizar actividades con sus iguales. Y revelan que internet es el segundo medio mas utilizado para ampliar su conocimiento sobre el TEA y para buscar actividades y metodologias que ayuden al desarrollo del menor; y que el 57% utiliza la Tablet 2-3 veces por semana en sus intervenciones. Se concluye que si bien el uso de las TIC resulta un recurso util para los ninos con TEA, los especialistas no las utilizan en la misma medida y no se muestran seguros con el uso continuado de las mismas. EnglishWhen a child is diagnosed with Autism Spectrum Disorder, several specialists begin to work, in search of therapies that favor their integral development and their quality of life. The objective of this study is to establish professional goals in therapies with children with ASD, and to know their relationship with ICT in their professional work. In the research they have participated in 49 specialists with an experience ranging from less than 5 years to more than 15, and with an initial training that responds to 9 degrees (Psychologists, Teachers,...). The results show that the main objective in therapies is that children are increasingly autonomous in their daily activities and that they integrate and carry out activities with their peers. And they reveal that the internet is the second most important medium for specialists to expand their knowledge about ASD and for the activities and methodologies that help the child’s development; and that 57% use the tablets 2-3 times a week in their interventions. It is concluded that although the use of ICT is a useful resource for children with ASD, the specialists do not use them to the same extent and were not sure with the continued use of them.
THE CURRICULAR HYBRIDIZATION. TEACHING ALTERNATIVES FOR DIGITAL ENVIRONMENTS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 7720-7729ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1867Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
HOW TO EMBRACE ARTIFICIAL INTELLIGENCE? FOCUSING ON GOFFMAN'S THEORY

Many experts have reached the rather tragic conclusion that AI and machines will slowly take jobs away from humans before then conquering the world.However, the development of AI should not just focus on 'strong AI', which can manifest itself as a substitute for humans.It is also important to develop 'good AI' which can empathize with people.Thus, for future AI to operate successfully, it will be necessary for the technology to recognize human emotions and respond appropriately to a whole spectrum of different human moods.In this study, we examine a proposed buddy relationship between humans and AI.This is believed to be an ideal relationship.We then investigate the possibilities of this through a specific case study of the British TV show <Humans>.The buddy relationship is a concept proposed by Erving Goffman in his work Asylums in which this particular and exceptional relationship between employees and inmates is played out.However, what results is 'a seamless institution'.Such attitudes and perceptions seen in Asylums may eventually be taken by people in our society towards AI.Therefore, this study explores how a buddy relationship might be an appropriate concept for that which unfolds between humans and AI robots in the future.
Posterior-regularized

Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
A First Experimental Study on Functional Dependencies for Imbalanced Datasets Classification

Imbalanced datasets for classification is a recurring problem in machine learning, as most real-life datasets present classes that are not evenly distributed. This causes many problems for classification algorithms trained on such datasets, as they are often biases towards the majority class. Moreover, the minority class often yields more interest for data scientist, when at the same time it is also the hardest to predict. Many different approaches have been proposed to tackle the problem of imbalanced datasets: they often rely on the sampling of the majority class, or the creation of synthetic examples for the minority one. In this paper, we take a completely different perspective on this problem: we propose to use the notion of distance between databases, to sample from the majority class, so that the minority and majority class are as distant as possible. The chosen distance is based on functional dependencies, with the intuition of capturing inherent constraints of the database. We propose algorithms to generate distant synthetic datasets, as well as experimentations to verify our conjecture on the classification on distant instances. Despite the mitigated results obtained so far, we believe this is a promising research direction, at the intersection of machine learning and databases, and it deserves more investigations.
STRATEGY FOR CREATING AND MANAGING A UNIVERSITY IMAGE AS A KEY FACTOR IN ENHANCING LEARNERS CONFIDENCE IN THE EDUCATIONAL INSTITUTION

STRATEGY FOR CREATING AND MANAGING A UNIVERSITY IMAGE AS A KEY FACTOR IN ENHANCING LEARNERS CONFIDENCE IN THE EDUCATIONAL INSTITUTION
Generation of non-classical states of photons from metal-dielectric interface: a novel architecture for quantum information processing

Photons emitted from quantum emitters on a metal-dielectric interface exhibit anti-coalescence in free space - a clear signature of nonclassicality. Such a system can also be employed as a building block for a distributed quantum network.
Collection Analysis Best Practices within Alma Analytics

Collection growth, usage, and cost are essential measures for assessing and evaluating library collections. Librarians that analyze collections with Alma ILS systems depend on it to extract reports that represent how patrons interact with our collections. Canned Alma reports and dashboards provide a base for answering collection-driven questions but each institution has specialized needs. Learning groups, recreation of historical collection reports, modifying Alma dashboard reports, and responding to collection questions from bibliographers provides valuable data collection lessons. In this presentation I plan to provide a set of useful best practices for developing collection-related reports in Alma Analytics. These practices will assist anyone who wants to learn more about the growth, usage and cost of print and electronic collections.
A Note on the Frame-Stewart Conjecture on the Generalized Tower of Hanoi Problem

The generalized Tower of Hanoi with p (≥ 3) pegs and n (≥ 1) discs, proposed by Stewart (1939) is well-known. To solve the problem, the scheme followed is : First, move the tower of the topmost i (smallest, consecutive) discs (optimally) to one of the auxiliary pegs in a tower, using the p pegs; next, move the remaining n – i (largest) discs (optimally) to the destination peg in a tower, using the p – 1 pegs available; and finally, transfer the discs on the auxiliary peg to the destination peg (optimally) in a tower. This is the so-called Frame-Stewart conjecture, which remains to be settled. The minimum number of moves under the scheme is denoted by SF(n, p). Chen and Shen (2004) have re-considered the Frame-Stewart conjecture in more detail, and claimed that SF(n, p) is of the order of 2 [ n ( p 2 )!] 1 / ( p 2 ). This paper gives a better lower bound of SF(n, p), which shows that the claim of Chen et al. (2004) is not correct.&#x0D; Journal of Bangladesh Academy of Sciences, Vol. 43, No. 1, 79-83, 2019
Online algorithms for constructing linear-size suffix trie

The suffix trees are fundamental data structures for various kinds of string processing. The suffix tree of a string T of length n has O(n) nodes and edges, and the string label of each edge is encoded by a pair of positions in T. Thus, even after the tree is built, the input text T needs to be kept stored and random access to T is still needed. The linear-size suffix tries (LSTs), proposed by Crochemore et al. [Linear-size suffix tries, TCS 638:171-178, 2016], are a stand-alone alternative to the suffix trees. Namely, the LST of a string T of length n occupies O(n) total space, and supports pattern matching and other tasks in the same efficiency as the suffix tree without the need to store the input text T. Crochemore et al. proposed an offline algorithm which transforms the suffix tree of T into the LST of T in O(n log sigma) time and O(n) space, where sigma is the alphabet size. In this paper, we present two types of online algorithms which directly construct the LST, from right to left, and from left to right, without constructing the suffix tree as an intermediate structure. Both algorithms construct the LST incrementally when a new symbol is read, and do not access to the previously read symbols. The right-to-left construction algorithm works in O(n log sigma) time and O(n) space and the left-to-right construction algorithm works in O(n (log sigma + log n / log log n)) time and O(n) space. The main feature of our algorithms is that the input text does not need to be stored.
AI3SD Semantics & knowledge learning for chemical design workshop report 2019

This event was run by AI3SD and was designed to explore the different aspects of using semantic web technologies in the chemical space, and to promote discussions about why these technologies are so important and the different ways in which they can be used. The event was a full day, hosted at the Solent Conference Centre in Southampton. The programme was made up of a number of presentations, starting with the importance of provenance of data and a history of the semantic web over the last 20 years with some details of where we are now. The event then progressed to some more specific talks about using semantic web technologies in the chemical domain, to make predictions and to model different aspects of chemistry in ontologies. These presentations were all run consecutively so it was possible to attend each talk, and the final order of the day was an expert panel made up of the speakers. There was plenty of time for networking, as there was both a lunch and drinks session included as part of the day.
Actual Problems of Modern Pedagogy of Higher Education

This article discusses the training of future specialists in the higher education. Personality-oriented education is considered as a complex organized process, involving the manifestation of natural and genetic inclinations, the development of creative skills and the creation of freedom for implementation of creative potential.
A Primer on Blockchain, Smart Contracts &amp;amp; Crypto-Assets

Recently, there has been a lot of discussion about the possible future uses and benefits of blockchain platforms and related technologies, such as smart contracts. This has led to talk of a “blockchain revolution.” Much of this discussion was triggered by the recent “crypto-hype.” We believe that it is important to look beyond the hype and explore the transformative potential of these new technologies. In order to address this issue, however, it is necessary to have a clear understanding of the underlying technologies and their regulatory implications. That is why we decided to write this short “primer.” We first introduce the three technologies (blockchain, smart contracts and crypto-assets), before describing the potential social benefits of these technologies and the regulatory challenges that need to be overcome in order for any blockchain revolution to be fully realized.
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination

We present a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation. The system consists of a voice-based input interface, an automatic topic expansion module, and an image projection module. The key innovation is to inject Artificial Imagination into painting creation by considering lexical and phonological similarities of language, learning and inheriting artist’s original painting style, and applying the principles of Dadaism and impossibility of improvisation. Our system indicates that AI and artist can collaborate seamlessly to create imaginative artistic painting and Mappa Mundi has been applied in art exhibition in UCCA, Beijing.