Reviewerly/exHarmony huggingface dataset:
A Combinatorial Solution for Bridge and Torch Problem

In this note we give a combinatorial solution to the general case of the puzzle known as “bridge and torch problem”. It is about finding the shortest time needed for n people to cross a bridge knowing that at most two persons can walk together on the bridge (at the speed of the slowest) and, because it is dark, a torch is needed for each crossing (and they have only one torch). The puzzle can be seen (and solved) as a discrete optimization problem.
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise.

Neural Machine Translation (NMT) is a deep learning based approach that has achieved outstanding results lately in the translation community. The performance of NMT systems, however, is dependent on the availability of large amounts of in-domain parallel corpora. The business enterprises in domains such as legal and healthcare require specialized vocabulary but translation systems trained for a general purpose do not cater to these needs. The data in these domains is either hard to acquire or is very small in comparison to public data sets. This is a detailed report of using an open-source library to implement a machine translation system and successfully customizing it for the needs of a particular client in the healthcare domain. This report details the chronological development of every component of this system, namely, extraction of data from in-domain healthcare documents, a pre-processing pipeline for the data, data alignment and augmentation, training and a fully automated and robust deployment pipeline. This work proposes an efficient way for the continuous deployment of newly trained deep learning models. The deployed translation models are optimized for both inference time and cost.
EVALUATION OF INTERNAL CONTROL PERFORMANCE IN THE CONTEXT OF FINANCIAL INDICATORS - AN APPLIED STUDY IN THE HABBANIYAH MUNICIPALITY DIRECTORATE

This current research aims to highlight the role of internal control in evaluating the financial performance of government service institutions, and that the mere existence of an internal control system in any service or non-service institution does not necessarily mean that this system is actually applied to various operations and activities, and the important question remains:Is the internal control system really implemented?Its time is just a people who play limited roles that do not rise to the role of real oversight?Which maintains the properties of the circuits and monitors their various activities and is the safety valve for these circuits.In order to answer this question, the auditor must conduct tests by analyzing the financial statements through the use of analysis methods (vertical analysis) for the financial statements of the Habbaniyah municipality directorate, official documents, and personal interviews.The main objective of analyzing the financial statements is to show the strengths, weaknesses and defects in the various procedures while giving the instructions that would contribute to avoiding these defects and weaknesses in the control system, and to provide information to the relevant authorities that benefit from them according to their different objectives, but the increasing need for information needs to be The process of evaluating the financial performance of the financial statements to compare the performance of the department and its financial position in successive periods of time to evaluate the trends of its financial performance and to identify its strengths and weaknesses, in order to provide additional information on the performance of the financial department in a way that enhances and supports the role of the published financial statements.The research aims to highlight the role of internal control in discovering errors, strengths and weaknesses in the directorate's financial performance in the field of research.The research adopted financial analysis tools (vertical analysis), through which the financial performance that was taken by the directorate in the field of research will be evaluated, and during the period between (2016-2019).In the end, conclusions were reached.The research concluded with a set of conclusions, the most important of which are:The research summarized the most important recommendations:Preparing qualified, trained, and specialized cadres in the field of financial performance evaluation to carry out their activities efficiently and effectively.
Simple and low-cost interferogram projection system for small-size automotive parts profilometry: benchmarking with a commercial apparatus

Three-dimensional (3D) contouring has become very important in industry and in many other production systems. The optical techniques provide many attractive properties for such measurement due to their precision, reliability, accuracy and ability to measure small and fragile objects. In this work we report the study, the development and the performance of a low-cost optical device based on interferogram projection in order to measure the sub-millimetric relief of polymeric plates containing biomimetic textures used in the automotive industry. The interferogram was generated by a Twyman-Green interferometer illuminated by a 532-nm green laser. The measurement was performed by means of phase-shifting and phase-unwrapping procedures and the results were benchmarked with the ones obtained by a commercial device.
Ultra-short-term prediction method of photovoltaic electric field power based on ground-based cloud image segmentation

As a large number of photovoltaic power stations are built and put into operation, the total amount of photovoltaic power generation accounts for an increasing proportion of the total electricity. The inability to accurately predict solar energy output has brought great uncertainty to the grid. Therefore, predicting the future power of photovoltaic fields is of great significance. According to different time scales, predictions are divided into long-term, medium-term and ultra-short-term predictions. The main difficulty of ultra-short-term forecasting lies in the power fluctuations caused by sudden and drastic changes in environmental factors. The shading of clouds is directly related to the irradiance received on the surface of the photovoltaic panel, which has become the main factor affecting the fluctuation of photovoltaic power generation. Therefore, sky images captured by conventional cameras installed near solar panels can be used to analyze cloud characteristics and improve the accuracy of ultra-short-term predictions. This paper uses historical power information of photovoltaic power plants and cloud image data, combined with machine learning methods, to provide ultra-short-term predictions of the power generation of photovoltaic power plants. First, the random forest method is used to use historical power generation data to establish a single time series prediction model to predict ultra-short-term power generation. Compared with the continuous model, the root mean square (RMSE) error of prediction is reduced by 28.38%. Secondly, the Unet network is used to segment the cloud image, and the cloud amount information is analyzed and input into the random forest prediction model to obtain the bivariate prediction model. The experimental results prove that, based on the cloud amount information contained in the cloud chart, the bivariate prediction model has an 11.56% increase in prediction accuracy compared with the single time series prediction model, and an increase of 36.66% compared with the continuous model.
Perancangan Zero waste Collection S/S 2021 dengan Inspirasi Emosi Akibat Kabut Asap

Abstract— Emotion that is created by Smog tends to be different from the other disasters because smog has changing phases and causes as well as the victim’s emotions. The mixing and changing of these emotions became the inspiration that will be applied to the 60 womenswear, menswear, kidswear and lifestyle productcollection of city wear Spring Summer 2021 with the title Vigor. The process began with gathering informations about trend, techniques, and inspiration that will be summarize by using moodboard, shape, style, and details plan. Data is gathered with deeper research on written informations and also direct interview with a disaster psychologist. The results of the research is fashion product that representing emotion through dye and patch technique and also the way to reduce the production of waste in fashion products using zero waste method.Keywords: emotion, smog, zero waste&#x0D; Abstrak— Emosi yang dihasilkan dari bencana kabut asap cenderung berbeda dari bencana lainnya dikarenakan fase dan penyebab kabut asap mengakibatkan emosi yang muncul pun memiliki fase yang berubah. Pencampuran dan peralihan emosi ini yang menjadi inspirasi yang akan diterapkan pada 60 desain city wear dari womenswear, menswear, kidswear, dan 15 produk lifestyleZero waste collection dengan Trend Spring Summer 2021 berjudul Vigor. Perancangan dimulai dari pengumpulan informasi mengenai trend, teknik dan inpirasi yang dirangkum menggunakan moodboard, shape, style, dan details plan. Data dikumpulkan dengan penggalian literasi tertulis maupun wawancara dengan ahli disaster psikologi. Penelitian ini menghasilkan produk fashion dengan penggambaran emosi melalui teknik dye, patch, dan pengurangan limbah material dalam produksi produk fashion menggunakanKata kunci: emosi, kabut asap, zero waste
Study on Ultra-short-time Power Forecast of Photovoltaic System based on Ground-based Cloud Image Recognition and Key Impact Factors

In recent years, under the dual pressure of resource shortage and environmental pollution, the photovoltaic (PV) power generation industry has flourished. The irradiance forecasting technology of PV power plants is of great significance for output prediction, grid dispatching and safe operation. Cloud cover is always the key factor making the irradiance fluctuate. In this article, colorful ground-based cloud images are collected by the all-sky imager every minute as the research object. Based on the traditional threshold method, a hybrid entropy threshold method is proposed to identify cloud clusters. Using the correlation analysis, among many impact factors with high correlation, five are extracted as input parameters of a BP network optimized by genetic algorithm (GA-BP). Through verification and comparison analysis, it is concluded that the recognition accuracy of the hybrid entropy threshold method is higher, and the average relative error can be controlled at about 5%. Based on this, the irradiance prediction of GA-BP also achieved better results than other models. It can meet the application requirements of PV power plants.
Menggugah Literasi Dari Tepian Kali: Pelatihan Literasi Saung Baca “Book Island”

The community service entitled “Waking Up The Literacy From Riverside: The Training Of Literacy In “Book Island” Book Center Community”. This activity aims to improve the interest of community in Kebagusan village, Ampelgading, Pemalang in gaining and educating people suround. It also gives the training of literacy training that include educating, teaching and learning of literacy and critical literacy which help the “Book Island” Book center community to manage their organization properly. This community service gives many advantages to their community. It can be the center of literacy in the community.
THE EFFECT OF ELECTRONIC MANAGEMENT IN ACHIEVING STRATEGIC ENTREPRENEURSHIP FIELD RESEARCH IN THE MUNICIPAL DIRECTORATES OF KARBALA (GOVERNORATE)

The research aims to identify electronic management as a concept and a system that can be applied in government service organizations represented by a group of directorates of the holy municipalities of Karbala to achieve creativity and excellence to reach strategic entrepreneurship, at the administrative, human, technological and financial level in these institutions.The researcher relied on the field study method as part of Those institutions to determine the main requirements available there and know the size of the obstacles that stand in the way of the implementation of the electronic management system, Where the questionnaire was adopted as the main tool for obtaining data, and questionnaires were distributed to(108)person in organizations, know how to manage the work of the departments according to the management system The electronic system and how it can benefit from the human mindsets, capabilities and resources of institutions in it through its , the questionnaire was analyzed by relying on statistical tools and methods using the ( SPSS-Ver.23 ) program ,The research reached several conclusions related to the theoretical and practical side, we mention, among them: that electronic management is one of the necessary applications for service institutions for the speedy completion of administrative and technical work and service projects in it, and it turns out that municipal institutions have shown widespread and significant interest in improving and developing electronic work for it, but they need To plan at the level of each institution in order to enhance electronic work.
Opinion Analysis Corpora Across Languages

Seki, YoheiAt NTCIR-6, 7, and 8, we included a new multilingual opinion analysis task (MOAT) that involved Japanese, English, and Chinese newspapers. This was the first task that compared the performance of sentiment retrieval strategies with common subtasks across languages. In this paper, we introduce the research question posed by NTCIR MOAT and present what has been achieved to date. We then describe the types of tasks and research that have involved our test collection both previously and in current research. Finally, we summarize our contributions and discuss future research directions.
Publicly Evaluatable Perceptual Hashing

Perceptual hashing allows the computation of a robust fingerprint of media files, such that the fingerprint can be used to detect the same object even if it has been modified in perceptually non-significant ways (e.g., compression). The robustness of such functions relies on the use of secret keys both during the computation and the detection phase. We present examples of publicly evaluatable perceptual hash functions which allow a user to compute the perceptual hash of an image using a public key, while only the detection algorithm will use the secret key. Our technique can be used to encourage users to submit intimate images to blacklist databases to stop those images from ever being posted online – indeed using a publicly evaluatable perceptual hash function the user can privately submit the fingerprint, without ever revealing the image. We present formal definitions for the security of perceptual hash, a general theoretical result that uses Fully Homomorphic Encryption, and a specific construction using Paillier’s encryption. For the latter we show via extensive implementation tests that the cryptographic overhead can be made minimal, resulting in a very efficient construction.
Penerapan Metode RUP pada Sistem Informasi Unit Kegiatan Mahasiswa STMIK PalComTech

Student Activity Unit (UKM) is a place where students gather who have the same interests and interests in a college. STMIK PalComTech is a private tertiary institution in the city of Palembang which has 5 UKM. When registering prospective SME members, they visited the UKM booths that were opened by the UKM management, besides that there were several other obstacles such as UKM STMIK PalComTech activities recorded manually only from the side PalComTech STMIK Student Affairs, which contains the name of the PIC, date of activity, number, name of UKM, place, start, finish, number of attendance, meetings to, information, there is also data material that is not neatly organized, and monthly report collection. In order to support the recording of activities in terms of attendance, members and material taught up to UKM member registration, the researchers created a web-based SME information system using the Rational Unified Process method and in this study using black box testing. RUP is a method that uses the concept of object oriented, and has activities that focus on the development of the model by using the Unified Modeling Language (UML). The results of this study are an information system that can be used, UKM members, and STMIK PalComTech student affairs that make it easy to collect attendance information, member data, activity data, material and announcements.
On the Strategy of Shaping Music Image in Music Teaching

Music image; Music works; Music teaching
Target Identity Attacks on Facial Recognition Systems

Advancements in digital technology have significantly increased the number of cases involving the counterfeiting of identity documents. One example is exam fraud, where a counterfeiter creates a composite morphed photograph of the real candidate and an imposter, and attaches it to the examination admit card. Automated facial recognition systems are beginning to be deployed at examination centers to match candidates’ faces against their official facial images. While the need to perform manual matches is eliminated, the vulnerabilities of these automated systems are a major concern. This chapter evaluates the vulnerability of an automated facial recognition system to input image manipulation via a target identity attack. The attack manipulates a facial image so that it looks similar to the real candidate, but outputs the identity feature representation of the imposter. This chapter also evaluates the performance of facial recognition models with regard to impersonator recognition. Experiments using image databases demonstrate the effectiveness of target identity attacks.
Koleksi surat kabar langka Perpustakaan Nasional Republik Indonesia sebagai sumber penelitian sejarah global

Rare newspapers are one of the primary sources that can be used in historical research. Historians often use newspapers as a source of research. Therefore historians often come to the National Library of the Republic of Indonesia to conduct consultations on newspaper collections. Librarians should help historians find this main source. Thus, this research explains how the rare newspaper collection can be useful for historians in researching global history. The method used in this paper was descriptive qualitative. This method conducted a description and analysis to a research object, where the researcher a qualitative analysis of the research object. This study surveyed ten newspapers and sorted them into six papers, which were then analyzed. From the study results, the authors found that six rare newspapers in the National Library of the Republic of Indonesia could be used as a primary source in researching global history. The six papers were 'Oetoesan Hindia', 'Pancaran Warta', 'Keng Po', 'Warta Hindia', 'Pemandangan', and 'Soeara Oemoem.’ The conclusions of this research are; first, newspapers can be used as a primary source of global history because they contain writings that respond to global dynamics. Second, criteria for newspapers that can be used as a source of global history research are those that provide information and opinions on global developments.
Real Time Attendance Marking System

Attendance management is an important procedure in an educational institution as well as in business organizations. Most of the available methods are time consuming and manipulative. The traditional method of attendance management is carried out in handwritten registers. Other than the manual method, there exist biometric methods like fingerprint and retinal scan, RFID tags, etc. All of these methods have disadvantages, therefore, in order to avoid these difficulties here, we introduce a new method for attendance management using deep learning technology. Using deep learning we can easily train a data-set. Real-time face algorithms are used and recognized faces of students in real-time while attending lectures. This system aims to be less time- consuming in comparison to the existing system of marking attendance.The program runs on anaconda flask server.Here real time image is captured using mobile phone camera. The faces on the image of the persons are then recognized and attendance is marked on an excel file.
Blockchain Use Cases in Big Data

Over the decade, blockchain and big data has been one of the most emerging technologies of development across industries. There is no end in the long run for blockchain. Blockchain technology is a way to evolve automation along with business process management. Blockchain along with big data increases transparency and privacy of data. Data is stored in blocks that contain the hash of that particular block and hash of the previous block. Hash is executed using SHA256. On a large scale environment, blockchain is a decentralized system (independent system) for storing and transferring information. To increase the security and quality of data, blockchain uses secured cryptographic distributed database technology, thereby increasing the efficiency. Blockchain can be very helpful in preventing data leaks, to make any changes in data we need to have multiple permissions, this becomes difficult for cybercriminals to hack the server. Blockchain has many applications in every field like medical record system, banking, social media, etc., in the field of medical record system it witnesses for utilizing safe and secure health care data management[]. Space giants like the U.S. National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) are studying ways to employ blockchain for their mission to make it more powerful. Blockchain can be an efficient mode for online data storage. Blockchain along with big data provides a unique solution to how banks can improve the way they protect their customer’s digital privacy. It also acts as a filter role in detecting fraud in financial management and act as efficient barrier to data theft. In the intersection of big data and blockchain, the overall improvement of the data being captured, and the quick transfer of the data which is causing quite a stir. Blockchains will give businesses to confidently, identify the integrity of the data being generated. Consensus driven timestamping, proper audit trails and immutable entries all become better as blockchain starts becoming more emerging onto the world. Accelerated progress and major changes are being made daily when it comes to new blockchain technologies, ushering in new developments in the big data analytics field. As more people start using blockchain-driven services, analytics also must be capable of generating high-quality data insights from the existing data.it also serves in different domains of big data analytics with blockchain as Stoj, Rublix, file coin, etc.
Corrigendum: Debunking Rhaeto-Romance: Synchronic Evidence from Two Peripheral Northern Italian Dialects

Following the publication of our recent article in Modern Languages Open (http://doi.org/10.3828/mlo.v0i0.309) we wish to bring the following corrigendum to your attention.
Development of E-Learning Based E-Front Applications on Computer Skills and Information Management Subject

The effectiveness of e-learning is assessed with research and development methods that test validation, practicality and effectiveness so that applications are suitable for use in Vocational Schools.This study was carried out in X grade students at Nusatama Vocational School Padang.The development design chosen was a Four-D model to: (1) define, (2) design, (3) develop, and (4) disseminate.The validity of e-learning applications in KKPI subjects scored 80.14%, practicality scored 78.72% and effectiveness scored 75.42%.The overall results infer that e-learning is deemed effective, practical, and valid and therefore fit for use of teaching.