Reviewerly/exHarmony huggingface dataset:
Remote Sensing of the Earth and GIS Technology in Monitoring Surface Water Pollution Using the Example of the Kremenchug Reservoir

SUMMARY Using the data of remote sensing of the Earth and modern GIS technologies, surface water monitoring methods were demonstrated using the example of the Kremenchug Reservoir. This technique was developed for further study of the state of water pollution, water quality and the introduction of appropriate measures to prevent the deterioration of the water environment.
RF Fingerprint Classification With Combinatorial-Randomness-Based Power Amplifiers and Convolutional Neural Networks: Secure analog/RF electronics and electromagnetics

The growth of the IoT requires more comprehensive security measures than ever. RF fingerprinting (RFF) utilizes features in the signals and waveforms from transmitters’ physical-layer imperfections to classify and authenticate devices. To prevent attacks from impersonators, combinatorial randomness is exploited to augment the RF fingerprints with a high-efficiency PA for IoT applications. By enabling different subsets of thinly sliced PA elements, the transmitter can be reconfigured with 220 subsets that exhibit distinctive RF fingerprints for signal analysis at the edge. In this work, a combinatorial-randomness-based PA was implemented in a BLE system. The BLE packets’ in-phase and quadrature samples transmitted from each configuration are collected with different SNRs to emulate the environmental changes in communication channels. A lightweight convolutional neural network (CNN) classifier demonstrates the possibility of accurate and fast inference of unique features in the IoT environment, which our approach exploits to enable on-chip time-varying RF fingerprints.
Understanding production variability in multimodal communication

A comprehensive view of speech communication requires a consideration of dynamic characteristics in language users’ multimodal behaviors. This talk discusses dynamic properties of both verbal and non-verbal communication behaviors, focusing on variability in voice, speech, and co-speech gesture production. I present a series of experiments that leverage quantitative approaches to examine how the multimodal production units of the cognitive system vary in their dynamic control and realization in executing communication goals. The overarching hypothesis is that surface variations in multimodal behaviors are structured to reflect communicative intentions, exhibiting a tight relation between the linguistic system and recruited modalities. Supporting evidence emerges from two types of data: dynamic voice signals drawn from speech corpora of various speakers, speaking styles, and languages, and time-aligned multidimensional signals of speech and co-speech gestures (simultaneously recorded audio, kinematic, and visual signals). Voice variations are acoustically structured by both biologically relevant factors and factors that vary with language-specific phonology. Furthermore, the spatiotemporal patterning of vocal tract actions and cooccurring body movements systematically varies, reflecting the prosodic structure of language. The findings and the utility of the analytical tools employed in these studies have implications for comparative investigations of communicative behaviors in animals. [Work supported by the NSF.]
Using Visualization Science to Inform Redesigning Environmental Decision Support Tools: A Case Study of the Usgs Waterwatch

Environmental decision support tools are increasingly being called upon to serve both expert and non-expert audiences. Many existing tools are primarily expert focused and redesigning them can be challenging because experts and non-experts interact with tools differently, existing users are often resistant to changes, and there is little guidance on how to prioritize redesign efforts and demonstrate their efficacy. In this study, we present a redesign case study of the U.S. Geological Survey WaterWatch, a decision support tool that displays water levels at gauges across the U.S. Using a participatory process, we identified a priority change (replacing the popular rainbow colormap), created an alternative design, and tested the alternativeâ€™s usability through a general public survey. The results show that replacing the rainbow colormap with a more intuitive diverging colormap improves usability and demonstrates how user-centered design approaches can be utilized for redesigning high-profile products and tools.
Manajemen Informasi Persediaan Obat Menggunakan Metode Fefo Di Apotik Semarang

This research was conducted at the Jatingaleh Pharmacy, Semarang, currently the pharmacy is still experiencing difficulties in terms of processing drug supplies, the obstacles experienced include recording drug supplies manually, which is recorded in a ledger then inputted into a computer. The system also has not been able to generate reports of drugs that are about to expire.&#x0D; This study aims to provide solutions to problems related to the drug supply system, and can produce reports of drugs that will enter expiration at the Jatingaleh Pharmacy Semarang. This research method uses a Research and Development (R&amp;D) model approach with 6 stages, namely Research and information collecting, planning, developing preliminary form of product, preliminary field testing, main product revision, and main field testing. This system was created using Microsoft Visual Basic 6.0 programming language using SQL Server 2000 database and based on Multiuser.&#x0D; With the system design from this study, it is able to handle problems at the pharmacy, and can facilitate the performance of the pharmacy staff so that the work becomes faster and more efficient.
DISTRIBUTED LEDGER TECHNOLOGY CHALLENGING ANTI-TRUST AND COMPETITION LAW

Distributed Ledger Technology (DLT) enables a way to secure decentralized datasets without involvement of third parties or intermediates secure, auditable and incorruptible. The specific way of storing data on worldwide peer-to-peer networks makes any attempt to regulate such applications very difficult as they are not residing in a specific area of influence of any given regulation or jurisdiction. DLT might prove to be agnostic to any jurisdictional rules based on traditional legislative understanding. Also in future it might be possible that artificial intelligence could be put into position to trigger decisions automatically based on such applications which will become a major challenge for competition and anti-trust regulators. Based on the Bitcoin technology we will see that there are fair possibilities to regulate the ledgers indirectly through existing legal and regulatory systems. The ones existing outside of regulatory structures could be controlled indirectly through regulating the gatekeepers that connect the DLT with the existing regulated structures. Selfregulation might also play a part to make these technologies widely acceptable.
Secure Image Steganography by Utilizing DNA Properties

In the last period, Steganography is commonly used as an alternative to encryption to achieve secret communication between parties. Many methods have emerged to achieve steganography, including the use of spatial domain, spread spectrum, transform domain, and etc. On the other hand, the methods of attackers have also developed in revealing hidden data and trying to retrieve it. To increase the security of the hiding process, some researchers have found hybrid methods that combine encryption and steganography processes. The research aims to present a new method in steganography by taking advantage of the properties of DNA, which includes the random sequence of nitrogenous bases (A, C, G, T), the process of hybridization, which occurs between two single strands of DNA to form a double strand of DNA so that the bases in the first strand are complementary to the nitrogenous bases in the second strand. The research includes the following steps: First, the secret image to be hidden is encrypted by encoding it into a series of nitrogenous bases, and then the XOR process is performed with a nitrogenous bases sequence for a DNA tape agreed upon between the sender and recipient, the hybridization process applied before and after the XOR process. The results show that encrypted image is much different from the original image and thus they added another level of security to the hidden image. Secondly, the encrypted image resulting from the first step is hidden in the cover image and using a new method based on the use of the agreed-upon DNA tape as a key.
INFORMATION MANAGEMENT IN CONSTRUCTION PROJECT: POTENTIAL OF BLOCKCHAIN TECHNOLOGY

It has been well established through research works and experience of construction professionals that smooth, transparent, traceable information flow is absolutely essential for better coordination among stakeholders in a project. This challenge of information management has been met to a good extent through centralized information systems, tailor made for each organization. However, poor information management and resulting poor coordination still persists in projects. Through extensive literature reviews as well as detailed discussion with construction professionals, identification &amp; categorization of issues with the present Information system has been done. Blockchain technology as an alternate solution to the information management issues in Construction projects has been studied in detail starting with basic understanding of the technology itself to development of concept framework models for its potential applications in the construction projects. Further, some case studies have also been reviewed to get a better understanding of overall advantages, challenges &amp; limitations associated with the technology. For assessment of features of technology and its potential in addressing the requirements, detailed discussion with Blockchain professionals and survey was done. The features of the technology have been compared with the issues and an analysis of the same has been done to review and analyze the potential of applicability of blockchain to address the requirements. Recommendations have been provided at the end which provide way for future works in this regard.
Application of Adversarial Network Model in Robot Inspection Heterophony Detection

With the rapid development of industrial technology, inspection robots need to monitor more and more equipment during inspection, and the demand for fault detection of equipment is increasing. It is particularly important to detect abnormal sounds of equipment such as air compressors in gas collecting stations. The deep convolutional ADversarial network is applied to the abnormal sound detection of air compressor, and the network module of optimized feature learning is introduced before the spectrograph learning of the network, and the structural similarity function is introduced to finally distinguish whether the sound is normal or not. Through simulation experiments, the improved deep convolutional adversarial network algorithm realizes abnormal sound detection of air compressor in gas collecting station, and the discrimination accuracy of abnormal sound is enhanced, which achieves the purpose of abnormal monitoring through equipment sound in actual industry.
Data Augmentation for Code Analysis

A key challenge of applying machine learning techniques to binary data is the lack of a large corpus of labeled training data. One solution to the lack of real-world data is to create synthetic data from real data through augmentation. In this paper, we demonstrate data augmentation techniques suitable for source code and compiled binary data. By augmenting existing data with semantically-similar sources, training set size is increased, and machine learning models better generalize to unseen data.
Stay Tuned: Temperament for Solo Lute 1600–1750

Most lutenists still tune in equal temperament, despite all the evidence that the best lutenists in the sixteenth through eighteenth centuries tuned in some version of meantone temperament. Baroque keyboard players, on the other hand, routinely tune in unequal temperaments, usually one of the many irregular keyboard temperaments available to them. Once the frets are arranged, the lute is extremely flexible in terms of pitch choice, whereas the keyboard is not. The lute's ability to play the same pitch in multiple locations and other idiomatic features allow it to access many key areas with few compromises. Nevertheless, many lutenists still mistakenly believe that regular unequal temperaments such as meantone temperaments are impossible or extremely difficult on the lute, despite all the informational and technological resources available today that facilitate the arrangement of meantone temperaments on lutes. Thus, they do not enjoy the many sonic benefits that unequal temperaments provide.
SIMRS Network Security Simulation Using Snort IDS and IPS Methods

AbstractHospital information systems have an essential role in clinical and administrative services. This triggers an innovation that supports an integrated quality measurement data management system by integrating the Hospital Management Information System (SIMRS). SIMRS can be implemented locally or in the cloud, using the network to exchange data and information. Along with the current development of Information Technology, information security is very important, especially on a network connected to the internet. But what is unfortunate is that developments in the security system itself do not accompany the imbalance between each technological development. This study aims to overview techniques for securing network computers from various attacks through network security simulations. The research method used is using Snort as a detector to perform security on computer networks, while as a system for detecting and preventing intruders on computer network servers using the Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) methods. This study concludes that the IDS system with Snort simulated can detect attacks with the same average accuracy value of 99.97% and produce an average server response time value by good snort rules (1 client is 0.50 seconds, 2 clients are 0.32) seconds.Keywords: network security, snort, IDS, IPS AbstrakSistem informasi rumah sakit memiliki peran penting dalam pelayanan klinis dan administrasi. Hal ini memicu inovasi yang mendukung sistem pengelolaan data pengukuran mutu yang terintegrasi dengan mengintegrasikan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Implementasi SIMRS dapat dilakukan secara lokal maupun cloud, keduanya menggunakan jaringan untuk bertukar data dan informasi. Seiring dengan perkembangan Teknologi Informasi saat ini, keamanan suatu informasi menjadi sangat penting terutama pada suatu jaringan yang terkoneksi dengan internet. Namun yang disayangkan, ketimpangan antara setiap perkembangan teknologi tersebut tidak dibarengi dengan perkembangan sistem keamanan itu sendiri. Penelitian ini bertujuan untuk memberikan gambaran tentang teknik pengamanan jaringan komputer dari berbagai jenis serangan melalui simulasi keamanan jaringan. Metode penelitian yang digunakan adalah menggunakan Snort sebagai pendeteksi untuk melakukan pengamanan pada jaringan komputer, sedangkan sebagai sistem untuk mendeteksi dan mencegah penyusup pada server jaringan komputer menggunakan metode Intrusion Detection Systems (IDS) dan Intrusion Prevention Systems (IPS). Kesimpulan dari penelitian ini adalah sistem IDS dengan simulasi Snort dapat mendeteksi serangan dengan nilai akurasi rata-rata yang sama yaitu 99,97%, dan menghasilkan nilai rata-rata waktu respon server dengan aturan snort yang baik (1 client adalah 0,50 detik, 2 client adalah 0,32) detik.Kata Kunci: keamanan jaringan, snort, IDS, IPS
IMPROVING PHISHING DETECTION VIA PSYCHOLOGICAL TRAIT SCORING

Phishing emails exhibit some unique psychological traits which are not present in legitimate emails. From empirical analysis and previous research, we find three psychological traits most dominant in Phishing emails - A Sense of Urgency, Inducing
PHILOSOPHICAL ANALYSIS OF DIGITALIZATION OF HIGHER EDUCATION

Using the methods of phenomenological analysis and philosophical reflection, the spiritual and existential aspects of the verbal interaction of the parties in the educational process are investigated. The specifics of this interaction are analyzed by the example of contact and remote forms of its organization. The article analyzes the replacement of live communication between teachers and students with standardized and impersonal tasks, which is characteristic of the digital educational environment, accompanied by the rejection of oral speech in favor of written. A number of features of the living word in contrast to written speech are considered, the impossibility of a complete transition to digital education with simultaneous preservation of students’ interest and creative involvement in the educational process is shown. It is noted that with the introduction and spread of distance learning in higher education, the efficiency and productivity of the educational process will invariably fall, which will lead, contrary to the unreasonable expectations of reformers, to the degradation of Russian education and science.
Trajectory Differential Privacy Protection with Regional Center of Gravity

In the process of location-based services, privacy preserving is a key challenge when releasing and analyzing data. Most of the existing methods added noise to all the locations in the trajectory, which will reduce the availability after data protection. Aiming at the data availability of trajectory privacy protection, a method about trajectory data differential privacy protection with regional center of gravity is proposed. Firstly, the position points in the trajectory are sampled, and the phased activity area is excavated to form an irregular polygon; Then, calculates the center of gravity (CG) of polygon and generates a new trajectory by using the CG points; After that, Laplace mechanism noise is added to the new trajectory to achieve the purpose of trajectory privacy protection. The experiment conducted on the real datasets shows that the proposed method can protect the privacy of trajectory data and further improve the availability of data.
A Multifunctional Modular Implementation of Grover’s Algorithm

Information security plays a major role in the dynamics of today’s interconnected world. Despite the successful implementation and effectiveness of modern cryptographic techniques, their inherent limitations can be exploited by quantum computers. In this article we discuss Grover’s quantum searching algorithm, given its relevance in such context. We begin by providing a formal presentation of the algorithm, followed by an implementation using IBM’s Qiskit framework, which allows us to both simulate and run the algorithm on a real device. The program we developed is modular and scalable, managing to properly run on any input state. Furthermore, it has several modes of operation that highlight its functionality. We compare the performance of the algorithm running on simulators against its execution on a quantum processor from IBM’s lineup, noting the discrepancies between the results due to physical factors.
THE MENTOR’S ROLE IN FORMING YOUNG TEACHER’S PROFESSIONAL COMPETENCES

Today, one of the main personnel tasks of an educational institution is to help beginning teachers to realize themselves as talented persons who made the right professional choice and are able to show high results of work and demonstrate the best professional qualities. As part of the study, the mentoring practice "Teacher-teacher", providing methodological and humanitarian support for young professionals, has been worked out and implemented. The mentoring tools presented in the article make it possible to replicate it in educational institutions of various profiles, and the testing results indicate the possibility of scaling the practice. In the future, young professionals should lead the entire team of teachers to new achievements in the field of school education
Trends in Digital Education in Higher Education Today - Methodological and Technological Experiments and Good Practices

As a major global process, digitisation is a major part of almost all aspects of our daily lives. Technological revolutions are increasingly representative of the mapping of globalisation processes, including digitisation. Mobile technology, ambient intelligence, digital games, big data-based technologies and algorithms are now an integral part of our world [1]. The penetration of mobile phones is greatly aided by the methodological and technological solutions defined by digital pedagogy [2] that can be supported by them [3]. Digital education has enriched the existing methodological culture and the possibilities provided by digital tools with a number of good pedagogical practices. New elements include hybrid teaching, interactive tasks, free-word assessment and evaluation methods, project assignments or portfolio-based student work. In addition, the increasingly evolving content consumption patterns present new challenges, for which the exploitation of virtualised learning environments and processes [4] and the digital competence deficit [5] may offer appropriate solutions. Drawing on our research and pedagogical experience, my presentation will present the methodological, technological experiments and good practices mentioned above.
Recommendation System for the Improvement of E-Government Services in the Tourism Sector of Pontianak City

Complete e-government tourism information and services in one portal will make users get abundant information, so that users are confused in determining the right information particularly accommodation information for themselves when travelling. Therefore, a recommendation system is needed to assist users in filtering the abundant accommodation information and deciding what accommodation is needed. The recommendation system with the content-based filtering method provides good accommodation recommendations because it does not depend on other users, but by providing relevant recommendations by extracting content features so that new users can get the right recommendations. The test results showed that the recommendation system using the content-based filtering method has successfully provided accommodation recommendations for users appropriately with an average accuracy of 76.67%.
Machine Learning and Seismic Structural Attributes Hybrid Approach to Map Complex Fault System

Summary This paper present a hybrid Machine Learning and seismic structural attributes approach to extract detailed major and minor discontinuities from seismic data from a complex fault system that present a challenge using conventional interpretation techniques. Fault interpretation is image segmentation problem and we thus adopted U-net encoder-decoder architecture as a first step in this hybrid workflow, it is well suited for seismic discontinuities. Image segmentation can not only figure out whether a particular feature such as faults exist but can also create a mask showing where in the volume those features exist.
Several aspects of cultural and recreational activities in sci-tech libraries

New elements of cultural and recreational activities e.g. those related to the pieces of art, in the practice of sci-tech libraries are discussed. The arguments why this is the special vector in library services, are presented.