Reviewerly/exHarmony huggingface dataset:
Knowledge Graph Extraction from Videos

Nearly all existing techniques for automated video annotation (or captioning) describe videos using natural language sentences. However, this has several shortcomings: (i) it is very hard to then further use the generated natural language annotations in automated data processing, (ii) generating natural language annotations requires to solve the hard subtask of generating semantically precise and syntactically correct natural language sentences, which is actually unrelated to the task of video annotation, (iii) it is difficult to quantitatively measure performance, as standard metrics (e.g., accuracy and F1-score) are inapplicable, and (iv) annotations are language-specific. In this paper, we propose the new task of knowledge graph extraction from videos, i.e., producing a description in the form of a knowledge graph of the contents of a given video. Since no datasets exist for this task, we also include a method to automatically generate them, starting from datasets where videos are annotated with natural language. We then describe an initial deep-learning model for knowledge graph extraction from videos, and report results on MSVD* and MSR-VTT*, two datasets obtained from MSVD and MSR-VTT using our method.
PENERAPAN LITERASI DIGITAL MELALUI SUMBER ELEKTRONIK POTENSIAL GUNA MENINGKATKAN KEMAMPUAN MENULIS KARYA ILMIAH GURU DI SDN KOTA DEPOK

The purpose of this community service activity is to improve the teacher's ability to write scientific papers at State Elementary School of Ratu Jaya 4 Cipayung Depok. Increasing teacher professionalism through training in the application of digital literacy in utilizing potential electronic sources such as Google Scholar is indispensable in writing scientific papers. By doing this activity the teachers have more accurate references in collecting many materials that they can inspire in writing scientific papers, so that teachers have higher confidence to write scientific works with better quality and quantity. In addition to the team, this activity provided an opportunity to carry out one of the three dharma activities of the tertiary institution, which is to provide community service based on  the problems faced by partners.
LibGuides: Special Collections, Rare Books, and University Archives: About Us & Contact Information

Official Website for the Department of Special Collections, Rare Books, and University Archives at Butler University Information pertaining to the history, contact of, and related information to Special Collections, Rare Books, and University Archives
APPS 2020: Second International Workshop on Adaptive and Personalized Privacy and Security

The Second International Workshop on Adaptive and Personalized Privacy and Security (APPS 2020) aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2020 is on healthcare systems, more specifically on ensuring security and privacy of medical data in smart patient-centric healthcare systems. The second edition of the workshop includes interdisciplinary contributions from Austria, Canada, China, Cyprus, Denmark, Germany, Greece, Israel, the Netherlands, Turkey and the UK that introduce new and disruptive ideas, suggest novel solutions, and present research results about various aspects (theory, applications, tools) for bringing user modeling, adaptation and personalization principles into privacy and systems security. This summary gives a brief overview of APPS 2020, held online in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2020).
A study on Strategies of Stimulating Students’ Participation in English Teaching Based on Computer Information Technology

Abstract Improving students’ participation and enthusiasm in class can help students better learn and master knowledge and improve teaching quality. Therefore, how to stimulate students’ participation and enthusiasm in class has long been a hot issue in the field of education, especially in the process of English teaching. Thanks to the development of computer technology, we are provided with more research practices. By using computer technology to analyze the application of computer information technology in English teaching, this paper studies how to stimulate students’ participation in class.
A COMPARATIVE STUDY: CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING

For both online and offline purchases, Credit cards are one of the most used and popular modes of payment which is also leading to increasing daily fraud transactions.It results in huge financial losses as these events take place frequently. Number of online transactions has grown in large quantities where online transactions hold a huge share of these transactions. Thus, credit card fraud detection applications are offered by banks and financial institutions. In order to maintain the reliability of the payment system, an efficient fraud detection methodology is essential. Various Machine learning algorithms have increased the capacity of handling a huge dataset which helps in detecting many fraudulent transactions very efficiently along with its high power of processing and computing data. For real time problems which occur in our daily life Machine Learning provides fast and efficient solutions. In this comparative study, credit card fraud detection is performed on the huge datasets which involves lakhs of rows of transaction data by using various Machine Learning Algorithms as it consumes lot of time to manually check and find the patterns in the data for fraudulent transactions. Due to an imbalanced dataset, SMOTE technique is used for oversampling. Further, feature selection is performed and the dataset is split into two parts, training data and test data. Machine Learning models used are: Logistic Regression (LR), Naive Bayes (NB), K-Nearest Neighbors (KNN), Random Forest (RF), Artificial Neural Networks (ANN).
JPY/BTC Trading Behaviour: A Reflection of the Japanese Economy or Due to the Construction of the Bitcoin Price Index

Japan has a long history with Bitcoin from it supposed creator, Satoshi Nakamoto, to the rise and fall of the Japanese Bitcoin Exchange, Mt Gox, to its wide acceptance by the Japanese retail sector, yet an analysis of the yen/bitcoin market, which is now the dominant trading pair, indicates that this is still very much a domestic market, developed under the auspices of Japan’s Financial Services Agency who saw the potential in bitcoin and its blockchain technology. Yet, the yen/bitcoin market has not developed into a global trading alternative, but rather remains a well sponsored domestic market with trading responding to the economic situation in Japan. There are two surprising outcomes: one, trading in yen/bitcoin across exchanges is highly correlated unlike the US dollar/bitcoin market where prices vary across exchanges; and two, around 60% of trades are at a price below the recognised global bitcoin price indicator, Coindesk’s Bitcoin Price Index.
Implementing Object Detection System in Image

Matrix matching involves comparing an to a stored glyph on a pixel-by-pixel basis; it is also known as pattern matching, pattern recognition, or image correlation. This relies on the input glyph being correctly isolated from the rest of the image, and on the stored glyph being in a similar font and at the same scale. This technique works best with typewritten text and does not work well when new fonts are encountered. This is the technique the early physical photocell-based OCR implemented, rather directly.s. The comments are drawn based on the studied literature and key issues are also identified relevant to the object detection. Information about the source codes and online datasets is provided to facilitate the new researcher in object detection area. An idea about the possible solution for the multi class object detection is also presented. This paper is suitable for the researchers who are the beginners in this domain.
Benefits and Limits of a Classification

This chapter provides an example of how we can analyze a questionable explanation using the categories presented in the previous two chapters, namely alert signals and risk factors. These categories are first summarized in two tables which then serve as an analysis grid for different texts. Next, we take two examples (osmosis and capillary rise), illustrating different levels of difficulty in terms of detecting a defect. We indicate the reasons why the texts are questionable and we analyse the risk factors of inappropriate comprehension related to these texts. We point out that not all risks are of equal importance for all types of audience and that all categories are open to debate. Thus, we insist that our first categories may be useful, but do not exhaust the subject. These remarks put into perspective the merits of a classification and introduce a discussion on the links between conceptual understanding and critical attitude.
BUSINESS INTELLIGENCE: The Fuzzy Logic in the risk client analysis

The following paper focuses on achieving accurate results through rough data. Using an inference model based on fuzzy logic, human reasoning was proactively stimulated, under certain conditions, in order to deal with the possibility of client-loss due to service quality. The experimentation is carried out by information related of complaint receipts from a period of two years (70,000 registers). For that effect, a prototypical program is set in C++ language, which receives as input the crisp values that result from the failure resolution for each relevant service. The proposed model is intended to classify clients according to the risk they may have in the contractual relationship with the company.
No-click browsing of large hierarchical data

We introduce a novel simple interaction technique for finding and browsing data in a large hierarchical database using only two keys.Finding data from a huge hierarchical database takes time because users should traverse the tree using a mouse or a keyboard, and click a "select" button to check the content. If the data was not appropriate, they should go to the next entry and perform the selection task again.In the past, when only a small number of "channels" were available from broadcast TV stations, users could simply rotate a television dial to select a channel and watch a program. We introduce a simple interaction technique called "Gear", with which users can select an entry from a large hierarchical database and browse it instantly, just like we could select a channel and enjoy a program using old television dials.
Benefits of emissive display (OLED TV) from a visual perception

OLED TVs have clear picture quality with a perfect visible angle, perfect black luminance and boast faster response times than LCD TVs. Therefore, the study major contents are Benefits of emitting devices (OLED TV) in terms of visual perception. The first study, we investigated the effects of the peripheral vision luminance level (PVL) and field of view (FOV) on the display brightness perceived by the observer. The results revealed that the lower the black luminance of the display and the smaller the viewing field of the peak luminance image, the higher the relative brightness perceived by the HVS. This result shows the Benefits of OLED TVs that implement perfect black in terms of visual perceived brightness. The second study compared the effects of 4K organic light‐emitting diode (OLED) and liquid‐crystal display (LCD) TVs on human visual task performance when viewing moving pictures. From the results obtained, it was determined that OLED TVs exhibit superior characteristics for hit rate and false alarm rate compared with LCD TVs (non‐emissive‐type). Thus, this study confirms that OLED TVs, given their ultrafast response time characteristics, are superior in terms of moving picture images to LCD TVs.
Research Guides @ Fordham: Python: Next Steps: Tutorials, Online Learning, and Books

A collection of resources aimed at helping users get started and feel comfortable with using the Python programming language How to keep advancing your skillset and where to turn for more information
Talking about the Problems of Hierarchical Teaching in Higher Vocational English and Its Solutions

&lt;p&gt;With the continuous deepening of education reform, the education department has put forward higher requirements for higher vocational education. Higher vocational colleges and universities can not only cultivate professional technical talents, but also cultivate applicable talents in many aspects. At present, the students come from different places with different education background in the colleges and universities. In the process of English teaching, teachers should implement stratified teaching to further improve the quality of English teaching. This paper discusses the problems and countermeasures of stratified teaching in higher vocational English, analyzes the problems existing , and proposes effective solutions.&lt;/p&gt;
Discovering Adoption of Agile Management Paradigm in Software Development at PT. Asuransi Allianz Life Indonesia

The new way of running the organizations require shifting from traditional way to the Agile management paradigm. In a volatile, uncertain, complex and ambiguous world, organizations face challenges to be able to compete in a marketplace with rapidly changing technology and customer needs. Many organizations face the difficulties when adopting Agile where the outcomes are limited to the adoption of few practices and methodologies with less value to the products being produced and to the people. Organizations face confusion on why they should adopt Agile and how do they proceed with the adoption? This study uses single exploratory embedded case study research design to observe and explore the adoption of Agile management paradigm in software development at PT. Asuransi Allianz Life Indonesia. The research is intended to answer the research questions of why organizations should adopt Agile practices and how do they proceed with the adoption of the Agile practices. This study uses six semi-structured interview questions which focuses on the motivation, benefits, challenges, and guidelines, how to scale up and organizational cultural impact of the Agile adoption. This study uses direct interviews with 5 senior managers at PT. Asuransi Allianz Life Indonesia and it is compared with external literatures search. This study found similarities between the interview results and external literatures regarding the motivation, benefits, challenge and organizational cultural impact of the Agile adoption. The study discovered significant findings on the guidelines and scaling up of the Agile adoption. We found out that there is no exact guidelines in the Agile adoption because what works in one organization may not work in other organization. Adopting Agile in the organization have to be started by creating right and flexible processes according to what works in each individual team with the foundation of Agile values and principles. The adoption have to start small and not scaling up too fast to see what works and does not work. The Agile adoption is scaled up by creating balance between team empowerment and organization command and control. Finding commonalities that can be shared and creating working environment that enables collaboration and coordination make the Agile adoption scalable within the organization.Key words: Agile adoption, software development, Agile management
Getting Your Cloud

Depending on your needs and uses for R, it can be convenient to have a reasonable amount of memory and processor capability. Often this power is necessary only on occasion, and it may not be cost-effective to own the hardware. This is where hosting R on the cloud may be helpful. Cloud instances bring on-demand resources that are readily scaled up or down as each situation requires. These days, there are several groups that provide such services at very reasonable prices. The challenge we face is threefold, and we walk through those steps over the next three chapters. We need to get a cloud, we need to administer our cloud’s operating system (in some cases), and we need to do some fun things with R.
Uma análise acerca da cadeia de custódia de documentos arquivísticos do poder executivo de São Francisco de Assis

The article presents an approach to archival heritage the institution and its involvement with principles and concepts of archival, the implementation of a Municipal Archives System, classification and temporality of archival documents, theoretical approach on chain of custody, as well as the implementation of a platform for access, description and dissemination of digital archival documents in the Municipal Public Heritage Sector of Sao Francisco de Assis. These documents, diplomatically analyzed, are recognized as archival documentary heritage, and represented through a fixed form and stable content. The public deeds of the properties serve as an example of a source of evidence regarding the municipal public heritage. This article is justified by the understanding that the implementation of an access environment offers active transparency and guarantee of continued access. It also described the evolution of the experiences and applicability of methodologies and institutional normative acts, emphasizing the profile of the professional Archivist before the institutional scenario. Finally, recommendations were made on the implementation and use of free software AtoM (Access to memory) as an access platform in the Municipal Public Heritage Sector, going through stages of production and preservation, normalization and possibility of interoperability with other software.
A Framework for Secure Learning

In this chapter we introduce a framework for qualitatively assessing the security of machine learning systems that captures a broad set of security characteristics common to a number of related adversarial learning settings. There has been a rich set of work that examines the security of machine learning systems; here we survey prior studies of learning in adversarial environments, attacks against learning systems, and proposals for making systems secure against attacks. We identify different classes of attacks on machine learning systems (Section 3.3), categorizing a threat in terms of three crucial properties.
An Approach to Decrease Interference among Modalities in Emotion Detection

Abstract Emotion detection of video clips through multimodal information helps in a number of applications, including view mining, recommending system, public opinion and public sentiment monitoring. Current multimodal fusion techniques are applied to identify relevant information among modalities, which can introduce the interference of different modalities when detecting the emotion in the video. In this paper, we introduce a method which uses Q-Learning algorithm in attention-based network for decreasing interference among different emotion modalities. Experimental results prove that our method can improve the performance of basic attention-based network when detecting the emotion in the video.
THE NIGERIAN DREAM AND THE CHINESE DREAM: A COMPARATIVE ANALYSIS

This study examined the notion of the Nigerian dream and the Chinese dream as strategies of the government for national rejuvenation and economic development. Data were obtained through homogenous purposive sampling and analyzed through content analysis. National development, rejuvenation, political leadership, ideology and policies were all factors that were selected for the study. The theory of change served as the framework for this study. This research work identified ideologies, policy framework, policy implementation, policy execution and political leadership as core factors that can facilitate the success of either the Nigerian dream or the Chinese dream. Both concepts were embedded in employment generation, wealth creation, poverty reduction, sustainable growth and development. The paper suggested that a vital factor towards the attainment of government policies and ideologies was the leadership of the country. The country‘s leadership should consider the economic, institutional, environmental and social framework in developing an action plan that would pivot its nation towards prosperity. It concluded that the path to economic modernization might be tough and harsh, however, with systematic planning and a strong vision engineered with the proper governance, most nations can achieve national rejuvenation and economic development.Keywords: Nigerian dream, Chinese dream, National rejuvenation, Economic development and Political leadership.
Finland: Modelling the Finnish rail network is now easier – FTIA has released a tool for converting rail network descriptions into RailML format – UIC Communications

The data on the Finnish rail network can now be converted to the standard RailML (Railway Markup Language) format with the tool released by Finnish Transport Infrastructure Agency (FTIA). The…
Introduction to Random Fields

General linear models (GLM) are often constructed and used in statistical inference at the voxel level in brain imaging. In this paper, we explore the basics of random fields and the multiple comparisons on the random fields, which are necessary to properly threshold statistical maps for the whole image at specific statistical significance level. The multiple comparisons are crucial in determining overall statistical significance in correlated test statistics over the whole brain. In practice, t- or F-statistics in adjacent voxels are correlated. So there is the problem of multiple comparisons, which we have simply neglected up to now. For multiple comparisons that account for spatially correlated test statistics, various methods were proposed: Bonferroni correction, random field theory, false discovery rates and permutation tests. Among them, we will explore the random field approach.
Linear Generalized ElGamal Encryption Scheme

ElGamal public key encryption scheme has been designed in the 80's. It is one of the first partial homomorphic encryption and one of the first IND-CPA probabilistic public key encryption scheme. A linear version has been recently proposed by Boneh et al. In this paper, we present a linear encryption based on a generalized version of ElGamal encryption scheme. We prove that our scheme is IND-CPA secure under linear assumption. We design a generalized ElGamal scheme from the generalized linear. We also run an evaluation of performances of our scheme. We show that the decryption algorithm is slightly faster than the existing versions.
A Minimum Error Discrimination problem for Linearly independent Pure States Related Quantum Safe Cryptography

In this paper we study the Minimum Error Discrimination problem (MED) for ensembles of linearly independent (LI) pure states. By constructing a map from the set on those ensembles we show that the Pretty Good Measurement (PGM) and the optimal measurement for the MED are related by the map.