Reviewerly/exHarmony huggingface dataset:
부정 축약형 어휘 ‘X잖-’에 대한 고찰 - 축약의 양상과 축약 유형을 중심으로 -

The current study synthetically analyzes the contracted negative form “X + 잖.” This study shows that contracted negative words with the form of X + 잖 can be completed either with or without a pre-contraction word(X). In case in which X exists, a negative particle is combined with X to make a contracted negative vocabulary. In the absence of X, on the other hand, a completely new contracted negative word is created. The aspects of contraction is affected by various factors, such as the style changes of X, the existence of pre-contraction and post-contraction vocabulary, and semantic relations between words. In this study, 19 words were selected from all the words with the form of X + 잖 that have been registered in the dictionary and were further classified by their types. The following chart briefly demonstrates the result of study.
Automated Multi-Architectural Discovery of CFI-Resistant Code Gadgets

Memory corruption vulnerabilities are still a severe threat for software systems. To thwart the exploitation of such vulnerabilities, many different kinds of defenses have been proposed in the past. Most prominently, Control-Flow Integrity (CFI) has received a lot of attention recently. Several proposals were published that apply coarse-grained policies with a low performance overhead. However, their security remains questionable as recent attacks have shown. To ease the assessment of a given CFI implementation, we introduce a framework to discover code gadgets for code-reuse attacks that conform to coarse-grained CFI policies. For this purpose, binary code is extracted and transformed to a symbolic representation in an architecture-independent manner. Additionally, code gadgets are verified to provide the needed functionality for a security researcher. We show that our framework finds more CFI-compatible gadgets compared to other code gadget discovery tools. Furthermore, we demonstrate that code gadgets needed to bypass CFI solutions on the ARM architecture can be discovered by our framework as well.
Towards a Ubiquitous Language Resource Management System

Natural Language Processing has a strong need for large scale quality speech, sign and text resources. The problem in developing countries in African and globally, is the lack of such resources. Significant progress has been made by research groups in South Africa under the coordination Language Resource Management Agency, to collect language resources for the 11 official languages of South Africa. Existing limitations are that resources have been collected manually, in a unidirectional manner that only benefits research institutions and not the wider community that needs them the most and the data is statically pre-packaged and not dynamic. In this paper we detail the design and initial implementations of a ubiquitous language resource management system. The system is aimed at supporting manual collection, crowdsourcing and distribution of language resources and to provide a dynamic resource management system that allows submission, acquisition and quality auditing of languages resources based on user specifications as opposed to pre-packaged data formats. We present initial implementations of the server side and mobile application clients and outline future developments and system integration.
Integrated Wristband using an Inertial Measurement Unit and Electromyography Sensors to Control Robotic Car

Human-computer interfacing is being used widely to make more integrated and user-friendly alternative methods of communication between humans and computers. Various devices have been developed to give a new dimension to the way a user interacts with computers and machines. They allow multiple ways of machine input, unlike conventional human interface devices (HID) such as mouse and keyboards. These devices remove constrictions to allow users to interact with devices in other innovative ways. The focus of this work is to illustrate an example of a Human-Computer Interaction (HCI) device using electromyography (EMG) sensors in conjunction with accelerometer and gyroscope placed inside an armband to detect the EMG signals and gestures of the forearm. The processed data from the microcontroller is then used to control a robotic car wirelessly. The prototype device can be made more wearable, user friendly and portable with the implementation of a more compact armband in prospective projects.
VR Appreciation System for Fountain Pens and Analysis of User Behaviors in Museum Exhibition

In this research, we developed a VR appreciation system for fountain pens using a head-mounted display (HMD) and a pen-type device. The purpose of this system is to allow museum visitors to view Maki-e fountain pens more freely. This system allows users to preview 3DCG of fountain pens displayed in VR space using the HMD while operating the pen-type device. In order to intuitively operate the 3DCG of the fountain pen, the 3DCG is rotated based on the angular velocity detected with a gyroscope sensor mounted on the pen-type device. In addition, the system allows users to select a fountain pen to view using only head motion by displaying the cursor at the center of the HMD screen. The system was used at a special exhibition of the National Museum of Japanese History for eight weeks. Moreover, to clarify the requirements of museum exhibition systems and the types of knowledge used to appreciate an exhibition, we analyzed user behaviors from the log data of a system deployed at a museum. As a result, when the users wore the HMD, fountain pens in the center of the screen were often browsed regardless of their features.
Data mining with tensor decompositions

ext mining is addressed by identifying multiview models. Following the recent works of A.Anandkumar, we show that the algorithms previously proposed exhibit important drawbacks. The algorithm subsequently proposed permits to decompose a nonnegative tensor built with sample joint probabilities. It compares favorably to the former on synthetically generated data sets.
An Adaptable Approach to Expertise: The Application of Ivan Galamian’s Violin Pedagogy to Trumpet Practice and Teaching

Author(s): Allen, Rachel E | Advisor(s): Richards, Stephanie | Abstract: Ivan Galamian was a violin pedagogue whose methods were celebrated for their seemingly universal success. A key component of his pedagogy was a set of adaptable variations intended for the development of correlation, or the mind’s ability to control to movements of the body. These variations could be applied to scales, arpeggios and excerpts from music to provide a virtually endless collection of challenging material. This dissertation first explores the efficacy of this component of Galamian’s pedagogical method through the lens of perceptual-motor skill acquisition and the study of expertise. By following the technical practice guidelines set forth in Principles of Violin Playing and Teaching by Galamian, a performer can develop a vast bank of implicit and explicit memories, or mental representations, that can be drawn on later. The continual progression of exercises also helps minimize or avoid the plateau in development associated with automaticity, and instead expands the physical and cognitive elements of playing which will eventually, through deliberate practice, lead to expert performance. Second, I consult with former Galamian students and published interviews to find out how his technical ideas were implemented in lessons and how they fit into the context of the other material being taught such as sound development and musical interpretation. Galamian’s lessons were logical and methodical, and he communicated his ideas through a great deal of playing and very little talking. Lastly, I explain several ways in which I have incorporated Galamian’s technical variation ideas into my own practicing and teaching. While certain aspects of trumpet pedagogy benefit from repetitive, habitual action, other areas like technical development can benefit from Galamian’s adaptable approach. By applying variability to create new challenges from existing trumpet methods, the usefulness and efficacy of these existing books can be expanded and extended indefinitely.
A SURVEY TO DARK WEB

Abstract— The Internet as the complete is a network of multiple pc networks and their large infrastructure. The net is made up of accessible web sites via search engines including Google, Firefox, etc. And it is known as the Surface Web. The Internet is segmented further in the Deep Web—the content that it isn't listed and can't get admission to by conventional search engines like google and yahoo. Dark Web considers a phase of the Deep Web. It accesses thru TOR. Actors inside Dark Web web sites are anonymous and hidden. Anonymity, privacy and the opportunity of non-detection are 3 factors that are provided by unique browser inclusive of TOR and I2P. In this paper, we're going to discuss and offer outcomes about the influence of the Dark Web in different spheres of society. It is given the range of every day nameless customers of the Dark Web (using TOR) in Kosovo as well as in the whole world for a period of time. The impact of hidden services web sites is proven and outcomes are accumulated from Ahimia and Onion City Dark Web’s search engines like google. The anonymity isn't completely verified at the Dark Web. TOR dedicates to it and has intended to offer nameless activities. Here are given effects approximately reporting the quantity of users and wherein place(s) they are. The calculation is primarily based on IP addresses consistent with country codes from where comes the access to them and record numbers in combination form. In this way, indirect are represented the Dark Web customers. The range of users in nameless networks at the Dark Web is some other key element that is resulted. In such networks, customers are calculated through the consumer requests of directories (by TOR metrics) and the relay listing is updated. Indirectly, the variety of users is calculated for the nameless networks.
Library Research Guides: Smart Cookies Start at IU Libraries!: Video Tutorials and Guides

Welcome new and incoming students! Learn about the IU Libraries and all that we can do to help you during your time as a student at IUB.
USER LOCATION PREDICTION USING HYPERGRAPH IMPACT FACTOR IN TWITTER WITH GLOBAL DATA COMMUNICATION

Twitter is one of the most prominent online media that acts as a global network for sharing sensitive real-time information like earthquake alerts, political news, product review, personality identification, criminal detection etc. along with regular usage, which is why knowing the location of a user in twitter gets at most important even though they do not tend to disclose it. In this paper, we propose a technique to detect the name of the locations for the twitter users. This technique involves a hypergraph-based map-reduce concept to represent the user tweets with their locations. The Helly property of the hypergraph was used to remove less potential words and the Impact Factor measure (IF) was introduced to calculate the score of each location for a particular user. The algorithm (HIF) was implemented in a big data environment provided by Hadoop and found to give an average accuracy of 78% which is well ahead of the existing methodologies. This method gives appreciable results, with high values of precision and recall for all locations.
Benchmarking 16-element quantum search algorithms on IBM quantum processors.

We present experimental results on running 4-qubit unstructured search on IBM quantum processors. Our best attempt attained probability of success around 24.5%. We try several algorithms and use the most recent developments in quantum search to reduce the number of entangling gates that are currently considered the main source of errors in quantum computations. Comparing theoretical expectations of an algorithm performance with the actual data, we explore the hardware limits, showing sharp, phase-transition-like degradation of performance on quantum processors. We conclude that it is extremely important to design hardware-aware algorithms and to include any other low level optimizations on NISQ devices.
Sign Language to Speech Converter Using Raspberry-Pi

Communication between the speaking and the non-speaking community has always been a difficult task. Millions of people in India suffer from the hearing or speaking impairment. This project provides a solution for these people to communicate with everybody else without any problem. It is an IoT based project, which converts hand gestures into synthesized textual format. The device consists of a glove with flex sensors all over the fingers to understand the orientation of the hand. When hands and fingers moved, words and numbers detected according to the movement. A bluetooth speaker attached to a Raspberry Pi that converts this text to speech. The device needs to be tested on a number of subjects for standardization of gestures. In current work only one hand is used for a gesture to speech conversion.
Single Image Contrast Enhancement by Training the HDR Camera Data

For real-time user interaction such as telepresence, we propose an image processing approach for presenting natural images to users in the situation of brightness change. We use a high dynamic range camera for training the contrast enhancement method based on CNN. The advantage of the pro-posed approach is that a large number of multiple exposure images necessary for CNN training can be collected easily by taking some videos with the HDR camera in various environments. We collected HDR camera dataset for training while moving indoors and outdoors on foot about 10 min. The data are 500 images randomly extracted from the video sequence. We compared some types of training data. Even in our easily generated dataset, the generated images showed good results. This makes it possible to generate an image equivalent to the HDR camera with a low-cost standard camera.
IDE, FINANCE ET CROISSANCE ECONOMIQUE EN AFRIQUE SUBSAHARIENNE

This paper examines the role of the financial sector in the relationship between FDI and economic growth in Sub-Saharan Africa. We use panel data from 24 African countries over the period 1996-2014. The results obtained with the application of quantitative regression on instrumental variables, taking into account country fixed effects, show that financial development measured by bank credit improves the contribution of FDI to growth. This result is more significant in countries that are in the lower quantiles following the conditional distribution of per capita income. However, finance is not significant as a channel of transmission of FDI on growth when measured by a multi-dimensional index.  Based on this finding, the study recommends rethinking FDI promotion policies in Africa by articulating them in a coherent manner with financial sector support policies.
Stochastic-binary convolutional neural networks with deterministic bit-streams

In this chapter, we proposed a low-cost and energy -efficient design for hardware implementation of CNNs. LD deterministic bit -streams and simple standard AND gates are used to perform fast and accurate multiplication operations in the first layer of the NN. Compared to prior random bit -stream -based designs, the proposed design achieves a lower misclassification rate for the same processing time. Evaluating LeNet5 NN with MINIST dataset as the input, the proposed design achieved the same classification rate as the conventional fixed-point binary design with 70% saving in the energy consumption of the first convolutional layer. If accepting slight inaccuracies, higher energy savings are also feasible by processing shorter bit -streams.
Impact of model accuracy on the performance of an optimization-based path planning algorithm for an articulated vehicle

This thesis presents a study on how the accuracy of vehicle kinematic models can affect the performance of an optimization-based path planner. A bicycle model and an articulated machine model are c ...
The Problem of Mastering Work with Electronic Educational Resources in Higher Educational Institutions

Education must outstrip life. This is an axiom that has long become a common place, but still remains (at least in Russia) a pure declaration. When education really works ahead of the curve, there are phenomena like the University of Berkeley, which, while remaining an educational institution, is also a research center that gives birth to technologies that conquer the whole world (for example, the Unix OS of the BSD family). How can education outstrip life? It is clear that it is impossible to teach what is not yet. But it is possible to give the student the most up-to-date knowledge while at the same time orienting him to the solution of fundamental, conceptual questions. It is the conceptual education in the system with awareness in the field of the latest concrete realizations that stimulates the search for new, more advanced, more daring solutions.Informatization, as the leading trend of social and economic progress of developed countries, is an objective process in all spheres of human activity, including education. Informatization of education, as an integral part of this process, is a system of methods, processes and software and hardware integrated with the purpose of collecting, processing, storing, distributing and using information in the interests of its consumers. The goal of informatization of education is to global intensify intellectual activity through the use of new information technologies (NIT).Modern advanced education is inconceivable without a large-scale study and global use in the teaching of computer equipment and computer information networks. The information saturation of modern society, its functionality at a decent level today imply such information traffic speeds that only computer networks integrated into the global information space can provide.
Tele Echo Tube for Historic House Tojo-Tei in Matsudo International Science Art Festival 2018

Sustainable interface design has been receiving a great deal of attention in efforts towards a sustainable society. The Tojo-Tei Historic House exhibition at Matsudo International Science and Art Festival 2018 focused on a new type of interface with the aim of raising mythological awareness in the midst of a modern city. A tele echo tube (TET) is a speaking tube interface that interacts acoustically with a deep mountain echo via a slightly vibrating lampshade-like interface. TET allows users to interact with a mountain echo in real time, through an augmented echo-sounding experience with vibration, over a satellite data network. Since 2009, we have continuously improved the architecture of this system to increase the interaction performance and improve the experience. In order to evaluate the interaction performance, an experimental system was constructed to study general rather than laboratory use. In this paper, we discuss the basis requirements for the system for the Tojo-Tei Historic House exhibition at the Matsudo International Science Art Festival 2018.
Comparing performance of K-Means and DBSCAN on customer support queries

In customer support, there are often a lot of repeat questions, and questions that does not need novel answers. In a quest to increase the productivity in the question answering task within any bus ...
Supportive Technologies for People with Dementia: A Closer Look into an Interdisciplinary Field

Technologies can support people with dementia to live an independent life at home. These supportive technologies have a variety of purposes, such as support in day-to-day activities and safety. There are also technologies with a focus on engaging in meaningful activities, supporting communication, information, and screening. Iterative co-design with end-users is needed to ensure high accessibility, relevant benefits, and satisfactory use of these supportive technologies. Nevertheless, most of the abovementioned developments lack frequent co-design cycles, and people with dementia are rarely involved in the design process. Various scientific disciplines are involved in researching and developing supportive technologies. These disciplines range from psychology and neuroscience to design and engineering. The disciplines differ in their research paradigm and design approaches in developing, designing, and evaluating the technology. In this chapter, we take a closer look at the methods and materials used for the active involvement of people with dementia. We provide insights from Active and Assisted Living (AAL) development projects that exemplify multidisciplinary approaches. We share insights gained from in-depth interviews with researchers from different disciplines. We conclude with a discussion on the challenges of multidisciplinary collaborations and possible ways forward to give people with dementia their desired role in the development of meaningful supportive technologies.
A Review Paper on Handwritten Character Recognition Using Machine Learning

In this paper, we propose a new neural network architecture for state-of-the-art handwriting recognition, alternative to multi-dimensional long short-term memory (MD-LSTM) recurrent neural networks. The model is based on a convolutional encoder of the input images, and a bidirectional LSTM decoder predicting character sequences. In this paradigm, we aim at producing generic, multilingual and reusable features with the convolutional encoder, leveraging more data for transfer learning. The architecture is also motivated by the need for a fast training on GPUs, and the requirement of a fast decoding on CPUs. The main contribution of this paper lies in the convolutional gates in the encoder, enabling hierarchical context-sensitive feature extraction. The experiments on a large benchmark including seven languages show a consistent and signiﬁcant improvement of the proposed approach over our previous production systems. We also report state-of-the-art result son line and paragraph level recognition on the IAM and Rimes databases.
Library Guides: Media Arcade: Tech Help

This guide provides information about resources and services supported by Media Arcade staff.
A New Direction for Library Technical Services: Using Metadata Skills to Improve User Accessibility

An increased awareness about the importance of resource accessibility for all library users has set the stage for transforming traditional cataloger roles into a new realm of possibility. The Acquisitions & Discovery (A&D) and the User Experience (UX) departments of North Carolina State University Libraries have formed a partnership to explore the benefits of working together amidst this climate of innovation and change. A pilot project was created to develop a workflow through which technical services staff can use their metadata skills to help resolve accessibility issues found on the Libraries’ main website. By performing this work, staff can grow in technical expertise, enhance the quality of metadata in web content, and build mutually beneficial partnerships within the library community.
Review On An Iot Based Gesture Recognition Using Ultrasonic Sensor.

Gesture is a symbol of physical behavior or emotional expression. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Gesture recognition is very significant for human-computer interaction. It is a language technologyin computer science which interpreting human gestures via mathematical algorithms.Internet of Things or IoT is nothing but an evolved version of Internet, which includes sensors, consumer electronic devices and other embedded systems connected to it besides computers, smart phones and tablets to collect and exchange data with one another.With the rapid development of Internet of Things, hand gesture recognition has drawn wide attention in the eld of ubiquitous computing because it provides us with simple and natural human-computer interaction mode.The aim of this paper is to survey a system that detects the hand gesture motions using ultrasonic sensor based on IOT.