Reviewerly/exHarmony huggingface dataset:
Sources of 1/f noise in QDOGFET single-photon detectors

We investigate the sources of 1/f noise in a quantum dot, optically gated, field-effect transistor (QDOGFET) that uses a two-dimensional electron gas (2DEG) system to read out singly-charged quantum dots. We use a linear-systems model based on an empirical law developed by Hooge [1] to show how the individual contributions of 1/f noise produced in the gated and ungated portions of the dual-2DEG system impact the signal-to-noise ratio (SNR) of the readout and vary with temperature and bias conditions. Our analysis reveals that the gate voltage can be used as a sensitive knob for controlling the contributions made by the various noise sources. We demonstrate how the SNR varies with the temperature and bias voltages of the QDOGFET and explain the behavior in terms of the transconductances and the various noise contributions of the conduction paths.
Automation of Ticket Booking Process for Performance (A Case Study of Aliero Community Theatre)

Automation nowadays has already entered human lives, but in designing a valuable, reliable and usable automatic system, there's a need to conduct a critical investigation of the case studies in terms of functionality, information analysis, decision and action selection and action implementation.The complexity of automation design requires high logical process, related techniques and real execution.Every single part of the process should be clarified before starting.In this business competitive era, Information and Communication Technology is placed on a platform by many organizations as their key indicator for success.Online data handling and automation service have been a major tool to provide better customers service.This research consists of an outline of the analysis and design process of booking of tickets for performances at the Aliero Community Theatre (ACT) and evaluation of the product deliverables.
Philip T.Hoffman, GillesPostel‐Vinay, and Jean‐LaurentRosenthal, Dark matter credit: the development of peer‐to‐peer lending and banking in France (Princeton, NJ: Princeton University Press, 2019. Pp. vii+303. 28 tabs. 35 figs. ISBN 9780691182179 Hbk. £30)

The Economic History ReviewVolume 73, Issue 1 p. 338-339 BOOK REVIEW Philip T. Hoffman, Gilles Postel-Vinay, and Jean-Laurent Rosenthal, Dark matter credit: the development of peer-to-peer lending and banking in France ( Princeton, NJ: Princeton University Press, 2019. Pp. vii+303. 28 tabs. 35 figs. ISBN 9780691182179 Hbk. £30) Pamfili Antipa, Pamfili Antipa Sciences PoSearch for more papers by this author Pamfili Antipa, Pamfili Antipa Sciences PoSearch for more papers by this author First published: 14 January 2020 https://doi.org/10.1111/ehr.12953Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume73, Issue1February 2020Pages 338-339 RelatedInformation
Estimating Median in The Multi-sourced Heterogeneous Data Set: A distributed implementation

Abstract The continuous running of enterprise applications produces a huge volume of business data that reside in different storage and system environments and owned by different companies or organizations, which forms a typical distributed, multi-sourced heterogeneous dataset. The multi-sourced heterogeneous data set provides big potential values for official statistics. While the median is a commonly used indicator in official statistics, it is not a trivial task to estimate the median in the distributed computing environment of multi-sourced heterogeneous data set due to its mathematical nature. In this paper, we proposed a distributed method to estimate the median value for the multi-sourced heterogeneous data set. Mainly considering the different size of multi-sourced data set and unevenly distribution of their data values, we first improve the traditional interpolation based median estimation method for the multi-sourced heterogeneous data set. Then, we propose distributed implementation for the proposed median estimation method based on web service technology. Finally, we evaluate the accuracy and performance of proposed method through experimental study. CCS Concepts Information systems ➝ Data management systems ➝ Information integration ➝ Mediators and data integration
The Application of Flipped Classroom Teaching Model in College English Teaching

At present, the flipped classroom teaching mode has been popularized and applied in College English teaching, but because the application of this mode is still in the exploratory stage, there are inevitable many problems.It is necessary to put forward corresponding solutions in order to promote the full play of the advantages of the flipped classroom teaching mode of College English and further promote the reform of College English teaching, to deepen and improve the overall quality of College English teaching.In order to improve the quality and level of College English teaching, the reform of College English teaching has been pushing forward in recent years, and many new teaching modes have been explored.A large number of teaching practices by scholars at home and abroad show that the application of the flipped classroom teaching model in English teaching can improve denuclearizing initiative and teaching effect.In the traditional college English teaching process, teachers are the dominant, students are in a passive position.It is difficult to internalize language knowledge and acquire language skills only by acknowledgement inculcation.The flipped classroom teaching mode focuses on destructiveness learning and autonomous learning, which not only meets the rules and requirements of language learning, but also meets the needs of lifelong learning in the era of knowledge economy.At present, the flipped classroom teaching model has been popularized in various disciplines, but there are still some shortcomings and shortcomings in the implementation, and the application experience is mostly based on foreign achievements.The deep integration of the flipped classroom teaching model and college English teaching in China needs further exploration and research.
Speaker Recognition Using Convolutional Siamese Neural Networks

Recently, machine learning has been applied in a variety of fields. Speaker recognition is one of attractive applications of machine learning. In this paper, we propose a convolutional Siamese neural network for speaker recognition. The proposed model generates feature vectors through the identical two convolutional neural networks for speech data of two speakers. The similarity is measured by calculating the Euclidean distance of two output feature vectors. If the calculated similarity is less than the threshold, it is judged that two speakers are the same. The experimental result of the proposed speaker recognition based on the convolutional Siamese neural network showed its accuracy was achieved up to 96%. The accuracy of one-shot classification using the trained convolutional Siamese neural network was evaluated also. For the evaluation, the 10-way one-shot classification for 10 speakers not used for learning stages were tested, resulting in 92% accuracy.
ANALISIS DAN PERANCANGAN SISTEM PAKAR DIAGNOSA KARAKTERISTIK ANAK BERKEBUTUHAN KHUSUS MENGGUNAKAN METODE FORWARD CHAINING PADA SLB NEGERI 1 KOTA JAMBI

Artificial intelligence “experts is one of knowledge, experience, and special methods, and ableto use them to solve problems or advisors.Children with special needs disabled athletes are thehad limited or remarkable, whether physical, mental-intelektual, social, and emotional, whohad significantly in the process of growth or progress compared with anak-anak other her age.Every child with the specific needs have different ciri-ciri certain of one another, and is usuallyknown consultations done parent child with special needs disabled athletes to psychologistswhich psychologist based on this, there are some of the most experienced the high cost of forconsultation with psychologist and lack of honesty parent child with special needs disabledathletes to psychologist and therefore the or wrong diagnose kadang-kadangexperience.Here awriter design systems experts who will replace knowledge psychologist to reduce kendalakendala is, as for information recommended for outside regular school the 1 kotajambiconsisting of a table admin, table students, table solution, table the diagnosis
Prioritizing Software Process Models Using AHP Methodology

Software development is the most critical task for any IT company. We know that it requires a lot of hard work and resources and thereafter if it fails, there is a lot of financial loss and it will ruin their organization reputation. So before start developing any software application, a lot of research work is done to cover every aspect the application so as to reduce the possibilities of software failure. In this regard, we need to find the best suited software process life cycle model. Actually in IT companies, the selection is done on the basis of trend or expert’s advice and no other criteria like Flexibility of Requirements, Customer Involvement etc. are considered. In future, if developed application fails to work properly then who will be responsible for failure? So we tried to build a model that can help experts to find the best and appropriate Software Process Model for the proposed application based on the criteria.
Measuring Supply Chain Performance through Migrant Workers Placement

To facilitate existing procedures and improve decision making, a decision support system (SPK) needs to be built. This SPK aimed  to determine the placement of workers abroad using the Simple Additive Weighting (SAW) method and supply chain process. This method was chosen because it is  able to select the best alternative from a number of alternatives, in this case the alternative in question was  someone who was entitled to receive Placement based on predetermined criteria. This research was conducted by looking for weight values for each individual. The Decision Support System produced was  capable of ranking prospective Indonesian migrant workers and  making it easier for BP3TKI to make decisions about Indonesian migrant workers by supply chain resource management for who will depart abroad.
Digital Watermarking and Image Recovery: Single and Double Embed Analysis

In today’s age of multimedia and technology, data is simply everywhere. Any picture you think of can be found with the help of a couple of keywords. This also opens up a huge pathway for piracy. Image piracy and tampering has never been more rampant due to the advent of photo altering applications. In order to prevent this, our project proposes to build a failsafe backup. This paper focuses on an invisible digital watermark embedded into the pictures such that it provides us with the possibility to not only assess the damage but also retrieve the image and undo the damage. Our program provides a comparison between embedded watermarks in multiple bit layers in order to showcase the best combination for the highest degree of recoverability. With the use of MATLAB, we ensure that our program is capable of providing accurate reconstructions despite cropping or alterations. Our final update confirms a recovery from a damage of up to 75%.
Implementasi Data Mining Untuk Memprediksi Kelulusan Mahasiswa Menggunakan Algoritma Naive Bayes Classifier Studi Kasus: Poltekkes Kemenkes RI Medan

In this study, the prediction of student graduation at the Polytechnic of the Republic of Indonesia Ministry of Health can be seen from the accuracy in completing his studies. This can be seen at the final level / level 3 or semester 6. Prediction of graduation of these students can be completed by looking at the student data sample, the attributes that are determined and the final results based on the cumulative achievement index (GPA). To help the study program section in the search for data students graduate on time or not on time. This study uses the Naive Bayes Classifier method which is a simple probability classification by adding up the frequency and combination of values from the student dataset to be given, as well as the algorithm using the Bayes theorem and assuming adjusted attributes. Therefore an application was designed using WEKA (Waikato Environment for Knowledge Analysis).
Encapsulated Features with Multi-objective Deep Belief Networks for Action Classification

Human action classification plays a challenging role in the field of robotics and other human–computer interaction systems. It also helps people in crime analysis, security tasks, and human support systems. The main purpose of this work is to design and implement a system to classify human actions in videos using encapsulated features and multi-objective deep belief network. Encapsulated features include space–time interest points, shape, and coverage factor. Initially, frames having actions had been separated from the input videos by means of structural similarity measure. Later, spatiotemporal interest points, shape and coverage factor are extracted and combined to form encapsulated features. To improve the accuracy in classification, MODBN classifier was designed by combining multi-objective dragonfly algorithm and deep belief network. Datasets such as Weizmann and KTH are used in MODBN classifier to carry the experimentation. Accuracy, sensitivity, and specificity are measured to evaluate the classification network. This proposed classifier with encapsulated features can produce better performance with 99% of accuracy, 97% of sensitivity, and 95% of specificity.
Understanding media in the context of object-oriented ontology

Abstract This article examines the theoretical conditions of studying media considered as a specific type of phenomenon, a 'medium phenomenon', to use a philosophical term. The purpose of this study is to examine and evaluate the interpretations of the medium phenomenon in the context of object-oriented ontology, with the authors drawing on the latest philosophical theories and explaining other scholars' reasons for investigating media in particular ways. As part of this inquiry, the authors aim at clarifying the content of the medium phenomenon whilst explaining the reasons for investigating the medium from specific positions in the context of the latest philosophical theories. The authors conclude their inquiry by offering the examination and evaluation of the potential of object-oriented ontologies aimed at characterizing the medium as a type of social object. As the medium's distinctive features are revealed, the authors suggest that interrogating it further is important for improving our understanding of social processes and creating new strategies and technologies of media usage.
PENDAMPINGAN PEMBUKUAN KEUANGAN SEKOLAH PADA SD NEGERI EMEREUW, ORGANDA, DISTRIK ABEPURA KOTA JAYAPURA

In improving the quality of schools and education is closely related to school-based management (SBM), in terms of developing primary and secondary education. In the current conditions, SBM has not received good attention, and even tends to not be understood by the school as one of the important factors in supporting the expected implementation governance of educational sector. Schools have a duty to manage fincances based on financial management principles so that the money in circulation can be utilized optimally. Optimal school financial management forces schools to make the process of school financial management as good as possible. For this reason, efforts are needed in improving school financial management that can increase transparency and public accountability. In terms of school financial management, the role and competence of Human Resources (HR) are major factors in improving the quality of school financial management. Based on an analysis of school financial management problems that occured, it is necessary to provide assistance during the SBM management process.&#x0D; &#x0D; Keyword : School Financial Administration, Bookkeeping, Treasurer
Lingua e immagini nella comunicazione digitale

In network communication, the meaning of a sentence seems to be given by the effect of different perceptions that are all simultaneously present in the utterance: this effect is achieved by using conglomerates of language and image. We are faced with a metamorphosis of the media communication structure that overlaps written text and image. The digital dimension assumed by communication in recent years has made it possible to focus more clearly on the model of conglomerates of language and image. Internet, especially social media, in fact, allows us to observe these conglomerates while speakers spontaneously create them; with the advent of digital culture, they have become the object of a specific field of study, and refer both to Image science and in the German area to Bildlinguistik .
Opunit: Sanity Checks for Computing Environments

Computing environments, including virtual machines and containers, are essential components of modern software engineering infrastructure. Despite emerging tools that support the creation and configuration of computing environments, they are limited in testing and validating the construction of these environments. Furthermore, professionals and students new to these concepts, lack feedback on their construction efforts. In this paper, we argue that the design of environment testing tools should fundamentally support asserting essential properties, such as reachability and availability, in order to maximize usability and utility. We present opunit, an environment testing tool that supports assertion of these properties. We describe properties students failed to check when testing computing environments, which guided the design of opunit. Finally, we share our early experiences with using opunit in the classroom to support education and training in configuration of computing environments.
Formation of Research Competence of Future Economists in the Process of Mastering Foreign Languages

The relevance of the work is determined by the fact that the research competence of students of economic specialties is defined not only as the independence of communicative behavior but also as a product of modern pedagogical technologies. The subject of the work is research competence, which is formed, restructured and perfected in modern synergetic educational process. The novelty of the study is that research competence is interpreted not only as the ability to conduct an independent scientific research and provide its results. The prospect of further study is the possibility of correlating the above-mentioned approach to global educational standards.
An Open Source Approach to Automating Surveillance and Compliance of Automatic Test Systems

With the disconnected nature of some Automatic Test Systems, there is no possibility for a centralized infrastructure of sense and response in Cybersecurity. For scalability, a cost effective onboard approach will be necessary. In smaller companies where connectivity is not a concern, costly commercial solutions will impede the implementation of surveillance and compliance options. In this paper we propose to demonstrate an open source strategy using freely available Security Technical Implementation Guidelines (STIGs), internet resources, and supporting software stacks, such as OpenScap, HubbleStack, and (ElasticSearch, Logstash, and Kibana (ElasticStack)) to deliver an affordable solution to this problem. OpenScap will provide tools for managing system security and standards compliance. HubbleStack will be employed to automate compliance via its components: NOVA (an auditing engine), Nebula (osquery integration), Pulsar (event system) and Quasar (reporting system). Our intention is utilize NOVA in conjunction with OpenScap to CVE (Common Vulnerabilities and Exposures) scan and netstat for open ports and processes. Additionally we will monitor services and status, firewall settings, and use Nebula's integration of Facebook's osquery to detect vulnerabilities by querying the Operating System. Separately we plan to use Pulsar, a fast file integrity manger, to monitor the integrity of critical files such as system, test, and Hardware Abstraction Layer (HAL) software to ensure the system retains its integrity. All of this will be reported by Quasar, HubbleStack's reporting engine. We will provide situational awareness through the use of the open source Elastic Stack. ElasticSearch is a RESTful search and analytics engine. Logstash is an open source data processing pipeline that enables the ingestion of data from multiple sources sending it through extensible interfaces, in this case ElasticSearch. Kibana supports the visualization of data. Essentially Elastic Stack will be the presentation layer, HubbleStack will be the broker of the data to Elastic Stash, with the other HubbleStack components feeding that data. All of the tools involved are open source in nature, reducing the cost to the overhead required to keep configurations up to date, training on use, and analytics required to review the outputs.
Frame Analysis on the Newspaper Reports of Femicide

이 연구는 언론보도가 특정 프레임에 의해 선택과 강조, 배제된다는 특성에 근거하여 여성살해 사건에 대한 프레임 분석을 실시하였다. 분석을 위해 2002년부터 2017년의 국민일보와 한겨레신문에 보도된 여성살해 신문기사를 대상으로 형식적·내용적 차원의 프레임 분석을 실시하였다 연구의 주요 결론과 시사점은 다음과 같다. 먼저, 형식적 측면에서의 프레임 분석 결과 두 신문사 모두 사건중심의 기사가 95% 이상으로 나타났으며 여성살해라는 공통의 테마 또는 가정폭력 살인이나 데이트폭력 살인과 같은 친밀한 관계를 기반으로 하는 사건조차도 이를 심층적으로 분석하고 근본적인 원인을 다루는 기사는 미미한 수준이었다. 둘째, 이 연구에서는 피해자 비난 프레임의 사용은 피해자-가해자가 친밀한 관계일 경우 더욱 두드러졌다. 또한 직접적 피해자 비난표현보다는 피해자의 잔소리, 체벌, 성적 비난 등 가해자와의 상호작용 행위나 가해자를 동정하며 간접적으로 피해자를 비난하는 프레임이 사용된 것을 확인하였다. 셋째, 가해자 비난 프레임은 법원 판결과정을 기사화시켜 가해자의 잔인성과 마땅히 처벌 받아야 함을 부각시키는 반면 가해의 원인이 되는 개인적, 사회적 차원의 근원적인 원인들에 대한 보도는 이루어지지 않았다. 마지막으로 체제 비난 프레임은 매우 적게 나타났는데 여성살해가 사회적 차원의 해결을 강구해야 할 사안으로 주목받지 못한 것은 체제 비난 프레임의 희소성에 기인한 것으로 판단된다.The study conducted a framing analysis of femicide cases based on the characteristic that media reports were selected, highlighted and excluded by a particular frame. For the purpose of analysis, the frame analysis was conducted on a form-type level and on a content level based on the femicide cases reported in the Kukmin Ilbo and Hankyoreh from 2002 to 2017. The main conclusions and implications of the study are as follows First, as a result of formal frame analysis, more than 95% of episodic frames were found in both newspapers. However, few articles deal with in-depth analysis and the underlying causes, even on the common themes of female murder or on intimate relationships such as domestic or date violence murders. Second, the use of victim criticism frames in this study was more prominent when the victim-offender was intimate. In addition, it was confirmed that rather than directly criticizing the victim by emphasizing the deviance and immorality of women, frameworks were used to interact with female victims, such as nagging, corporal punishment, and sexual harassment, or indirectly criticizing the victim in sympathy with the perpetrator. Third, while the frame of the perpetrator victim highlights the perpetrator s cruelty and due punishment, no reports have been made of the underlying causes of the abuse at the personal and social levels. Lastly, the frame of criticism of the system appeared very few. And it was judged that the female murder was not noticed as a matter to be resolved at the social level due to the scarcity of the frame criticism of the system.