Reviewerly/exHarmony huggingface dataset:
Contextual Visualization of Crime Matching Through Interactive Clustering and Bayesian Theory

Police and law enforcement agencies perform social media analysis to gain a better understanding of criminal social networks structures and to identify potential criminal activities. The use of data mining techniques in social media analysis, however, faces issues and challenges such as linkage-based structural analysis, association extraction, community or group detection, behaviour and mood analysis, sentiment analysis and dynamic analysis of streaming networks. This chapter describes the extension of our developed framework and propose an association model for extracting multilevel associations based on associative questioning. We also describe data mining techniques used to visualize these associations through a 2D crime cluster space. The developed framework provides a complete data analytic solution towards identifying and understanding associations between crime entities and thus expedites the crime matching process.
SISTEM PENGAMAN DOKUMEN MENGGUNAKAN FINGERPRINT DAN RFID MODUL BERBASIS ARDUINO

Documents are securities / important that can be used as evidence of information that is printed or written in nature. The company where the author conducts research is a company engaged in logistics, which certainly has a special document storage room, the Accounting room. The use of plastic folders containing documents and metal cupboards as a place to store important documents and files still has many risks of misuse and loss. The title of this research is the Document Security System Using the Arduino-Based Fingerprint and RFID Module. The purpose of this study is to minimize losses and prevent misuse of documents / files that are inserted into a plastic folder. The security system using Fingerprint and RFID is very good to be applied as a document security because it has multiple security. The system is made using the Fingerprint as a signal breaker or electromagnetic wave RFID Tag attached to the Map containing the documents / important files belonging to the company. This system is also supported by the ArduinoUno kit with the Atmega328 microcontroller as the brain to process data from fingerprint sensors and RFID Readers that function as electromagnetic wave identification systems on the RFID Tag, therefore two hardware devices called Tag and Reader are needed. Apart from the three main components mentioned, there are several other components used in the manufacture of this document security system, namely the micro SD kit, buzzer, push button, servo. Making this system is very important in order to limit the misuse of documents and the risk of losing documents in a company.
Doubly efficient interactive proofs

research-article Share on Doubly efficient interactive proofs Author: Guy Rothblem View Profile Authors Info & Claims Providing Sound Foundations for Cryptography: On the Work of Shafi Goldwasser and Silvio MicaliOctober 2019 Pages 649–691https://doi.org/10.1145/3335741.3335766Published:04 October 2019Publication History 0citation61DownloadsMetricsTotal Citations0Total Downloads61Last 12 Months14Last 6 weeks10 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
International Academic Conference A Book in the Modern World: Reception Issues (Voronezh, 27 February — 1 March, 2018)

The paper describes the key takeaways of the conference and researches various aspects of book existence in the today’s world (book and knowledge, small circulation, text and illustration, book and movie) and its formats (artist’s book, audiobook, electronic book).
Understanding real-world scenes for human-like machine perception

The rise of autonomous machines in our day-to-day lives hasled to an increasing demand for machine perception of real-world to bemore robust, accurate and human-like. The research in visual scene un-derstanding over the past two decades has focused on machine perceptionin controlled environments such as indoor, static and rigid objects. Thereis a gap in literature for machine perception in general complex scenes(outdoor with multiple interacting people). The proposed research ad-dresses the limitations of existing methods by proposing an unsupervisedframework to simultaneously model, semantically segment and estimatemotion for general dynamic scenes captured from multiple view videoswith a network of static or moving cameras. In this talk I will explain theproposed joint framework to understand general dynamic scenes for ma-chine perception; give a comprehensive performance evaluation againststate-of-the-art techniques on challenging indoor and outdoor sequences;and demonstrate applications such as virtual, augmented, mixed reality(VR/AR/MR) and broadcast production (Free-view point video - FVV).
Poster

One of the major challenges for fully enjoying the power of machine learning is the need for the high-quality labelled data. To tap-in the gold-mine of data generated by IoT devices with unprecedented volume and value, we discover and leverage the hidden connections among the multimodal data collected by various sensing devices. Different modal data can complete and learn from each other, but it is challenging to fuse multimodal data without knowing their perception (and thus the correct labels). In this work, we propose MultiSense, a paradigm for automatically mining potential perception, cross-labelling each modal data, and then improving the learning models over the set of multimodal data. We design innovative solutions for segmenting, aligning, and fusing multimodal data from different sensors. We implement our framework and conduct comprehensive evaluations on a rich set of data. Our results demonstrate that MultiSense significantly improves the data usability and the power of the learning models.
Security Certificate Renewal Management

Context. An SSL encrypted client-server communication is necessary to maintain the security and privacy of the communication. For an SSL encryption to work, there should be a security certificate w ...
Akad Jual Beli Rambut Untuk Hair Extension dalam Perspektif Hukum Islam di Salon Zuma Tlogowungu Pati

Buying and selling is an activity carried out by everyone to fulfill various needs of life, bothin the form of physical needs and spiritual needs. However, if the purchase has somethingthat deviates from the teachings of Islam or objects that are traded in the form of hair which isa sacred part of the human body and not for sale, the problem that the author discusses is themechanism of buying and selling then what Islam views the transaction. This type of researchis field research, which is based on observation and interview techniques in an effort tocollect data. The results of the research conducted by the authors themselves draw theconclusion that buying and selling is done at Zuma salons when viewed from objects in theform of hair and when viewed in terms of objects become null or invalid because there is oneharmony and conditions are not fulfilled namely something that is traded banned by Islam.Whereas the use of connecting hair (hair extension) is not permitted because the purpose ofusing hair is only for beauty there is no other element. Hair is a sacred part of the humanbody that does not contain impurity, but in terms of utilization of buying and selling does nothave any benefits. The benefits of this research are expected to add a new science about howIslam regulates things properly including buying and selling, with this it is expected thatmany people will then understand that selling belong is arranged so that it will benefit manypeople.
Multimedia Analysis in Police–Citizen Communication: Supporting Daily Policing Tasks

This chapter describes an approach for improved multimedia analysis as part of an ICT-based tool for community policing. It includes technology for automatic processing of audio, image and video contents sent as evidence by the citizens to the police. In addition to technical details of their development, results of their performance within initial pilots simulating nearly real crime situations are presented and discussed.
Library Guides: Hate: Strategies for Dealing With Hate

This guide provides information on hate in our society. It focuses upon online hate and strategies for dealing with it.
LibGuides: Database Help: Finding Books and Ebooks

The Cleary U. Library facilitates access to almost 30 (mostly academic) databases. Which one should you use? How can you get the most out of using the databases? This guide will help you answer those questions!
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE MAKE A MATCH UNTUK MENINGKATKAN HASIL BELAJAR PKn SISWA KELAS III SD NEGERI 188 PEKANBARU

This research is in the background by the low learning outcomes of PKn-grade III students Negeri Elementary School 188 Pekanbaru, with an average class of 68.25. While the value of 40 students are only 17 students who achieve the minimum submission criteria. This research is a class action research conducted aims to improve the learning outcomes of PKn-grade III students Negeri Elementary School 188 Pekanbaru by applying a cooperative model of make a match type. The subject of this study is a grade III student of State Elementary School 188 Pekanbaru year 2018/2019. The data collection instruments on this thesis are teacher activity sheets and student activities and learning outcomes. This thesis presents the data of the learning outcomes obtained from the average learning results before the 68.25 action increased by 12.63% on average to 76.87 on the I cycle. In the II cycle it increased to 19.41% with an average of 81.5. Teacher activity on first meeting cycle I gained a percentage of 62.5% of the category enough, at the second meeting experienced an increase by a percentage of 79.16% good category. Next cycle II first meeting of teacher activity also experienced an increase with a percentage of 83.33% good category, and the second meeting experienced another increase by the percentage of 95.83% very good category. In the results of the study, students began to understand the course of PKn lessons after they had the cooperative model of the Make a match type marked with increased teacher activity and student activities and the results of learning on each cycle. The results of the research in class III of State Elementary School 188 Pekanbaru proved that the implementation of model cooperative type make a match can be a result of learning the results of PKn-grade III students Negeri Elementary School 188 Pekanbaru
LibGuides: New Engineering Students and Families: Plan Your Campus Visit

Helpful resources for new Engineering students and their families. URL:guides.library.cornell.edu/engineeringfamilies
Latent semantic text classification method research based on support vector machine

Text classification, as an important process of network public opinion analysis, will directly affect the judgment of text public opinion. The accuracy of text classification is an important prerequisite for textual public opinion analysis. At present, the commonly used text classification methods mainly focus on clustering and machine learning. In general, the accuracy is not ideal. Moreover, text classification method based on latent semantics has the characteristics of insensitivity to feature dimension and simple classification methods, so it has become the focus of extensive research. However, as the type of text increases, local semantic analysis will occur, resulting in the dropping of classification accuracy of text. In this paper, a latent semantic classification method based on support vector machine (LR-LSA) is proposed to solve the problem of local semantic analysis brought by too much text category, it can be better to solve the impact of feature dimension surge on effect.
Development of a puzzle-box game with haptic feedback

The main purpose of computer games is to immerse a user in a virtual environment. The perception of immersion experience has been used to develop virtual reality applications for game-based learning, healthcare, rehabilitation, etc. In traditional games, the user immersion is performed through the sense of visuals and sounds with interactions through 2D input devices like the mouse and keyboards. Haptic technology can simulate tactile and kinesthetic sensations in virtual environments. The real-time interaction and feedback are very important for development of rehabilitation applications. The main goal of our research is to enable real time simulation of force feedback for rehabilitation and learning games. This paper presents a framework for developing the virtual puzzle-box game for rehabilitation and education based on haptic display. The proposed framework introduces a collision handling method to compute feedback force and provide realistic feedback through the haptic device.
To The Question on Neuropedagogic Possibilities of Formation of Creative Activity at Children of the Senior Preschool Age

The article provides methods for the development of creative activity of senior preschool children. Distinctive features and possibilities of stimulating activity in children were given. The functions and criteria for the development of child’s creative activity are listed.
The traditional values in the maxim and its modern succession : focus on High school Chinese Literature Textbooks

본고는 고등학교 한문Ⅰ 교과서에 수록된 격언에 담긴 전통적 가치관을 분석하고, 격언을 통한 전통적 가치관의 현대적 계승 방향을 모색해 본 것이다. 이를 위해 먼저 2009 및 2015 개정 교육과정에 따른 고등학교 한문 Ⅰ 교과서 총23종에 수록된 격언 119개를 정리하여, 격언에 담긴 가치관을 ‘자기 관리 의식’, ‘타인 배려 의식’, ‘공동체 의식’, ‘자연 친화 의식’ 네 가지로 분류해 보았다. 이 중에서 ‘자기 관리 의식’이 전체의 2/3 정도 되었으며, 격언의 출전은 논어 &#65381; 명심보감 등 유교의 경전과 수신서가 전체의 절반 가까이 되었다. 이를 통해 격언에 담긴 가치관이 유교의 윤리관에 근거한 修身에 지나치게 편중되어 있다는 점을 확인하였다. 이를 개선하기 위한 방안을 세 가지 측면에서 논의하였다. 첫째, 격언을 선정할 때 전통적 가치관을 현대적 관점에서 재설정하는 것이다. 이를 통해 격언에 담긴 전통적 가치관이 한쪽에 편중되는 것을 방지하도록 하였다. 둘째, 전통적 가치관을 비판적으로 이해하고 현재적 의미를 탐색하였다. 정약 용의 <原怨>에 나오는 “怨者, 孝子之所以自達其衷者也.”를 통해, 효 사상의 복종 윤리적 면모를 비판하고 부모와 자식 간의 쌍무적 관계에 기초한 횡적 윤리를 부각시켰다. 셋째, 격언에 담긴 가치관의 범주를 확대하고 현재적 의미를 강화하기 위해 격언의 사례를 제시하였다. 청소년들이 일상생활 속에서 공감할 수 있는 사례로 淸言小品인 張潮의 幽夢影 에 수록된 문장을 소개하였다. 아울러 현행 교과서에 자연에 대한 가치관을 담고 있는 격언이 전무한 실정을 고려하여, 생태적 사유를 보여주는 몇몇 문장을 제시해 두었다. 본고는 향후 새로운 교육과정에 따른 교과서를 집필하면서 격언을 선정할 때 기여할 수 있을 것이다.In this paper, I analyzed the values contained in the maxims contained in the high school Chinese language textbooks and sought the direction of modern succession of traditional values contained in the maxims. By analyzing the maxims contained in the textbook, I have confirmed that the values contained in the maxim are too biased toward the ethics of Confucianism, and that there is no maxim that contains the values related to nature. I discussed three aspects of how to improve this. First, we must reset our traditional values from a present perspective when selecting a maxim. This prevents the categories of values from being biased to one side. Second, I analyzed Jeong Yak-yong(丁若鏞) s <Search for the source of the resentment (原怨)>, criticizing the ethical aspect of obedience to filial piety and highlighting the transverse ethics based on the bilateral relationship between parents and their children. Third, I introduced the sentence contained in the aphorism-collecting book, Yoomongyoung(幽夢影) , as an example of a maxim that teenagers can relate to in their daily lives. I look forward to this paper as a reference when writing textbooks based on the new curriculum.
Eye Gaze Technology in Everyday Life for Individuals with Impairments

This session aims to present research outcomes of eye gaze technology in everyday life for people with severe impairments. Two speakers, researchers in the field of eye gaze technology, will presen ...
LibGuides: Effective Reading: Online study guide

Our top tips and advice on getting the most from your reading, taking effective notes from journal article and identifying links between sources.
Reachable Estimation and Compensation Boundaries for the Large-Scale Interconnected Fuzzy Systems

This study focuses on estimation and compensation on the unknown measurement noises of large-scale systems subject to nonlinear dynamics and interconnections. Interval type-2 T-S fuzzy model is used to describe each nonlinear subsystem. For the sake of attenuating adverse impacts from the unknown measurement noises, a combined method of reachable set bounding and estimation-compensation control is proposed. First, we introduce an augmented fuzzy observer that fulfills a simultaneous estimation for the system states and unknown measurement noises, which guarantees that the estimation error is bounded within the ellipsoidal boundary. Then, a fuzzy compensation controller is used to attenuate the impacts from the unknown measurement noises. Finally, simulation results show the effectiveness of our method against the unknown measurement noises.
TRUST EVALUATION &amp; ENHANCEMENT: AN APPARATUS TO GET COMPETITIVE ADVANTAGE

The reparations offered by cloud computing, make it admired &amp; accepted among enterprises and individuals. This IT paradigm has seen a sharp rise in the last one and half decade. At its infancy stage, this technology has changed every body's perception of storage, infrastructure, software installation, software support, and development. The credit goes to the architecture of the technology which makes it possible to offer premium resources at economical prices, scalability of resources depending upon requirements and the most important financials are based on usage. In this success &amp; acceptance ride, technology also had its share of breakers Like security, Trust, Privacy. These hurdles are making current and future consumers hesitant about adopting the technology. Along with technology growth, last few years have witnessed a sharp rise in security lapse cases. These incidences are raising questions about security &amp; privacy of data and information and finally leaving marks on the "Trust" relation between service consumer and service provider. In order to strengthen the relationship with service consumer, it is the responsibility of the provider to endow consumers with secure enclosures to keep their data and information protected. Standards and certifications are considered as best practices for providing security assurances in Information Technology. The objective of the paper is to design a framework that can help the provider to overcome this un-trusty situation, by converting one of the hesitant factors "Trust" into competitive advantage component by attaining suggested certifications or adopting recommended standards.
Multi-kernel-based deep residual networks for image super-resolution

Single image super-resolution (SISR) is a classical problem in low-level vision task, which aims to find a mapping function from a single low-resolution (LR) input to corresponding high-resolution (HR) output. Recently, deep networks have achieved great success in SISR task. Recent successful deep models mostly consist of stacked the same size convolution filters whose size is mostly 3 by 3. To cope with more variations in both local dependencies and global contexts between LR and HR images, we propose multi-kernel based deep residual networks for SISR. Since larger kernel requires more parameters, we adopt dilated convolution for increasing the size of the receptive field. Also, we adopt local feature fusion, global feature fusion and local residual learning for controlling the multi-scale features and hence for the better performance by accelerating the convergence. Experimental results show that our proposed model yields improved performance.
REDCap Con 2019: Extending REDCap Randomisation Beyond the Stratified List

Extending REDCap's Randomisation Capabilities Beyond the Stratified ListBayesian Adaptive Randomisation and dynamic randomisation via Biased Coin Minimisation for the FORMAT Trial, and how this is implemented in a REDCap external module.
An empirical study of programming language effect on open source software development

Language designers and early adopters make different claims about their languages to differentiate them from others in order to attract users. Unfortunately, some of such claims are not supported by strong evidence. Moreover, the nature of languages as a special software tool makes it difficult to find objective measures to quantify and compare them per se. One approach to provide objective information about languages is empirical comparison. Hence, this research studies the usage and practice of programming languages based on mining modern, popular, existing software repositories in order to understand and characterize their effect on developing open source software. That is, to compare open source projects written in different languages to understand similarities and examine differences among them.
Jacobians of Hyperelliptic Curves over ℤn and Factorization of n

E. Bach showed that factorization of an integer n can be reduced in probabilistic polynomial time to the problem of computing exponents of elements in ℤn* (in particular the group order of ℤn*). It is also known that factorization of square-free integer n can be reduced to the problem of computing the group order of an elliptic curve E/ℤn. In this paper we describe the analogous reduction for computing the orders of Jacobians over ℤn of hyperelliptic curves C over ℤn using the Mumford representation of divisor classes and Cantor’s algorithm for addition. These reductions are based on the group structure of the Jacobian. We also propose other reduction of factorization to the problem of determining the number of points |C(ℤn)|, which makes use of elementary properties of twists of hyperelliptic curves.