Reviewerly/exHarmony huggingface dataset:
Anti-noise Quantum Network Coding Protocol Based on Bell States and Butterfly Network Model

How to establish a secure and efficient quantum network coding algorithm is one of important research topics of quantum secure communications. Based on the butterfly network model and the characteristics of easy preparation of Bell states, a novel anti-noise quantum network coding protocol is proposed in this paper. The new protocol encodes and transmits classical information by virtue of Bell states. It can guarantee the transparency of the intermediate nodes during information, so that the eavesdropper Eve disables to get any information even if he intercepts the transmitted quantum states. In view of the inevitability of quantum noise in quantum channel used, this paper analyzes the influence of four kinds of noises on the new protocol in detail further, and verifies the efficiency of the protocol under different noise by mathematical calculation and analysis. In addition, based on the detailed mathematical analysis, the protocol has functioned well not only on improving the efficiency of information transmission, throughput and link utilization in the quantum network, but also on enhancing reliability and anti-eavesdropping attacks.
Text Extraction Using Sparse Representation over Learning Dictionaries

This paper presents a new approach for text detection using sparse representation over learned dictionaries. More specifically, the K-SVD algorithm is used for constructing two dictionaries, one for the background and one for the text. Then, text detection is done by comparing the error constructions of each patch of image over two dictionaries. Results on ICDAR dataset present that proposed method is competitive related to state-of-the-art methods.
Study on Exit Strategy to Promote Introduction of New Technology to Safety Management Activities

Enterprises engaged in public services have tolerable risk the rage is limited narrow, so they need to engage in safety management activity as a whole organization and to upgrade safety culture. They are required to try to new activities for upgrading safety culture not being satisfied with the present safety management activity. As new activities, they begin considering introducing a new technology into safety management activity focusing on “technology” that is one of the three major elements keeping security. In this study we organize the policy of exit strategy aimed at introducing new technology to safety management activities in public service.
Joint target detection and tracking with heavy-tailed noises

Abstract This paper investigates the problem of simultaneous target detection and tracking with heavy-tailed noises under Bernoulli filtering framework. By exploiting the Student-t distributions to formulate the outlier-corrupted process noise and measurement noise, a novel target tracking algorithm named the Student-t mixture Bernoulli filter is proposed. Under linear assumptions on target dynamic model, sensor measurement model and birth process, closed-form recursions that propagate the parameters of Bernoulli random finite set are derived. The validity of the proposed algorithm is verified by numerical simulations.
Research on Underwater Target Tracking Based on Multiple Fading Factors Strong Tracking SCKF

In the research on complex maneuvering underwater target tracking, the single fading factor adjusts the estimation of all the state variables with the same value. However, the uncertainty of different state variable is different. Only one single fading factor can not get each state variable optimal estimation. Aiming at this problem, multiple fading factors strong tracking SCKF algorithm is proposed. Simulation results show that the multiple fading factors strong tracking SCKF algorithm has higher estimation accuracy than the CKF algorithm, SCKF algorithm and STSCKF algorithm when the underwater target system model is uncertain.
New Frontiers in Document Classification with Applications to Medical Context

This paper surveys on the recent trends of supervised document classification methods with a special focus on the medical context. In particular, the semantic document classification is considered, where some relevant general purpose algorithms are described. Then, relevant methods for semantic classification of medical documents are in the focus. The considered algorithms are categorised according to the adopted document representation or classifier. Finally, advancement of the state-of-the-art is proposed and described in the medical domain.
A NEW PROOF OF THE CARLITZ–LUTZ THEOREM

A polynomial $f$ over a finite field $\mathbb{F}_{q}$ can be classified as a permutation polynomial by the Hermite–Dickson criterion, which consists of conditions on the powers $f^{e}$ for each $e$ from $1$ to $q-2$ , as well as the existence of a unique solution to $f(x)=0$ in $\mathbb{F}_{q}$ . Carlitz and Lutz gave a variant of the criterion. In this paper, we provide an alternate proof to the theorem of Carlitz and Lutz.
Multi-scale Local Binary Patterns- A Novel Feature Extraction Technique for Offline Signature Verification

This paper presents a powerful feature representation method called Multi-scale Local Binary Patterns for offline signature verification. The multi-scale representation oriented local binary patterns can be obtained by changing the radius R value of Local Binary Patterns(LBP) operator and combining the LBP features at different scales. In this proposed approach the LBP operator is applied at 3 different scales by varying the radius R value and at each scale equal number of pixels are considered for the processing. Finally, by cascading a group of LBP operators at 3 different scales over a signature image with fixed number of pixels at each scale and combining their results, a multi-scale representation LBP can be obtained. This essentially represents nonlocal information. Features fusion is performed by the linear combination of the histogram corresponding to 3 different radii results in a multi resolution (scale) feature vector. Support Vector Machine (SVM) is a well known classifier employed to classify the signature samples. Experimental results on standard datasets like CEDAR and a regional language datasets shows the proposed technique's performance. A comparative analysis with few well known methods is also presented to demonstrate the performance of proposed technique.
The Effectiveness of ICT Tools for Engineering Education: ISO Checker

One of the main advantages given by mobile applications are that they are available round the clock, offering a variety of ways of learning, communicating and collaborating. The proposal of the research is the implementation and designing of a mobile-learning application to improve the quality of the teaching process of Tolerances and Dimensional Control for engineering degrees (design, robotics, industrial and mechanical engineering). The studies focused on the impact of mobile learning on student achievement and it showed that this method could be one of the promising educational technologies for development in educational environments. The usage of mobile devices as tools for educational purposes has a positive effect as ISO Checker is available in four different languages, German, English, French and Romanian, it offered the main information which was presented in ISO SYSTEM OF LIMITS AND FITS. Given the current technological innovations, the fact that students are hi-tech learners now, we consider that using of mobile applications integrated into the study of Tolerances and dimensional control stimulates student's involvement, considering the positive feedback which we had during the first semester of the 2018–2019 academic year.
A Methodology for Performing Meta-analyses of Developers Attitudes Towards Programming Practices

Programming practices are often labelled as “best practice” and “bad practice” by developers. This label can be subjective but we can see trends among developers. A methodology for performing meta-analyses of articles discussing any given practice was created to determine programmers overall attitudes towards any given practice while accounting for factors such as whether they considered alternative approaches.
The Lorax Problem: Introduction to Bayesian Networks

Abstract The “Lorax Problem” introduces Bayesian networks, another set of methods that makes use of Bayes’ Theorem. The ideas are first explained in terms of a small, standard example that explores two alternative hypotheses for why the grass is wet: the sprinkler is on versus it is raining. The chapter describes how to depict causal models graphically with the use of influence diagrams and directed acyclic graphs. Bayes’ Theorem is used to compute conditional probabilities and to update probabilities once new information is obtained or assumed. The software program Netica is introduced. Finally, the chapter provides a second example of Bayesian networks based on The Lorax by Dr. Seuss. The reader will gain a firm understanding of parent nodes (also known as root nodes), child nodes, conditional probability tables (CPTs), and the chain rule for joint probability.
Using Psychophysiological Techniques to Evaluate User Experience of Touchscreen Protectors

Since touchscreens were introduced into mobile devices, interaction directly on the touchscreen replaced interaction with the keyboard. In order to protect touchscreens and improve user experience, touchscreen protectors are widely used. This study selected three different designs of touchscreen protectors with three different levels of friction, and a touchscreen without a protector as a control group. The experiment was divided into two tasks, namely the moving task (including horizontal movement and vertical movement) and the circling tasks (including clockwise movement and counter-clockwise movement). User experience was measured through performance, questionnaires and psychophysiological techniques including electromyography (EMG) and electroencephalography (EEG) measurements. Results reflected that a touchscreen without a protector was most suitable for gesture control to improve performance. Among various types of protectors, the protector with the same friction as a touchscreen, was more suitable to improve performance. Results suggested that protectors with excessive or too little friction cannot improve performance.
TurtleGO: Application with Cubes for Children’s Spatial Ability Based on AR Technology

In this paper, we introduce a new application called TurtleGO that uses augmented reality (AR) technology, with which K-2 children can experience a geometric sense of the egocentric perspective. This application was developed with the concept of Logo-MicroWorlds, which allows children to examine and simulate their geometric ideas in a virtual world with a turtle agent. TurtleGO provides children with real-time feedback in a monitor representing the augmented turtle image on blocks based on AR technology while children are playing with actual blocks. Our application is flexible and inexpensive as it makes possible the use of various sized cubes already in possession. All the children between grades 2 through 5 improved in their ability to distinguish pair of stimuli as identical or mirror images when they used TurtleGO. However, we found that our application provides an effective and intuitive AR learning environment to lower grade elementary students, improving their spatial transformation skills since upper graders could solve the tasks easily without it.
HCI Design for Mobile Devices with a Sensor System for Performance Diagnostic in Sports

Newly designed sport sensors and health applications provide many new information on vital parameters, such as oxygen saturation of muscles, tissue hemoglobin, and pulse index. So far there are only visualizations which show sophisticated vital parameters after workout. In this paper we describe constraints on parameter visualization during workouts and introduce a new mobile visualization concept allowing live adjustment of workouts.
A Mirror That Reflects, Augments and Learns

Unlike the Magic Mirror in Snow White, waiting for users’ active requests, what if an augmented mirror was like the Mirror of Erised, capable of serving users’ implicit needs? We develop an augmented mirror system that reflects images of real-world objects by nature, collocates digitally rendered information with the reflections and learns the correlations among users, objects and augmented information. By exploring the design space, implementing an actual system, and conducting a preliminary study, we demonstrate that our system provides users needed information at the right time, thereby allowing them to make improved decisions and take appropriate actions.
Story-Centric View on the Mind

The basic assumption of the present study is that the essence of the human mind is to generate stories by interacting with environments, or to interact with environments by generating stories. In this context, a story refers to a mental representation of an individual’s subjective world including the past, present, future, and fiction. This assumption leads us to a consistent and plausible understanding of the human mind and realization of a human-like artificial intelligence. In this paper, I present an exploratory computer-oriented theory on the mind by ways of a story-centric view. The theory comprises two concepts. First, the mind is described as an interactive story generation system between the narrator-self and a story that has the power of self-organization. Second, the interrelationship among stories is put in focus, and the generative process of stories is described in terms of the mutual actions between them. Furthermore, these two concepts are adapted to characterization of the conscious and unconscious mind.
Binary 100-digit challenge using IEEE-754 coded numerical optimization scenarios (100b-digit) and V-shape binary distance-based success history differential evolution (DISHv)

This paper proposes a new discrete optimization benchmark 100b-Digit, a binary discretized version for the 100-Digit Challenge. The continuous version 100-Digit Challenge utilizing continuous input parameters for a fitness function was suggested for the competitions at 2019 GECCO and 2019 CEC, while this paper proposes an extension, a discrete version of the 100-Digit Challenge, discretizing using an IEEE-754 double precision floating-point representation for the search space variables.
Demonstration Experiment of AR Exhibition System Inducing User Behavior with Visual Incompatibility

We propose an AR exhibition system inducing user behavior with visual incompatibility. The proposed method is to emphasize the edge of the image on the tablet screen and move its emphasized edge to a target direction. In addition, we implemented the AR exhibition system with the proposed induction method to validate the effectiveness of it, and conducted a demonstration experiment as an exhibition at a museum. Through our demonstration experiment, we confirmed that the proposed method induced participants to start looking around. The result of questionnaire suggested that our proposed method did not disturb audience’s appreciation, and our proposed method would be applicable to the AR exhibition system. However, the method could not induce the participants to move to the target direction. In addition, the induction did not work while the participants were looking around.
A New Framework of Interactive System Theory in Jewelry Design

The rapidly developed interaction design has been introduced into the jewelry field. The early interactive system theories were proposed to help human-computer interaction or product interaction design, having great significance as a design guideline, but not very suitable for interactive jewelry design. In this paper, we propose a new framework of interactive system theory, special for interactive jewelry design, consisting of six elements: User, Emotion, Product, Activity, Context, and Technology (UEP-ACT). We first demonstrate the necessity of ‘UPACT’ components. Through the method of statistics and user research, we then analyze the importance of ‘Emotion’. We also illustrate the mutual relationship between these six components. To identify the availability and feasibility, we use an example and take an experimental design. The aim of this proposal is to make this theory widely used in jewelry interactive design so as to create a better user experience.
Design of a Novel Web Utility that Provides Multi-lingual Word Definitions for Child E-Book Applications

The use of mobile computing devices to gain access to the Internet and to interact with a range of applications has become ubiquitous, impacting on education, entertainment, healthcare, and many other domains. Engaging applications such as e-books used by children and their parents or educators have also become increasingly common, especially in the context of childhood education. An e-book that presents the reader with challenging words has the potential to improve and expand vocabulary. However, the seamless combination of methods for definition-retrieval, word sense disambiguation, and multi-lingual support are not currently available in a simple tool for the specific application of children’s e-book reading. In this work, we present WordWeaver, an open-source tool for use in child reading scenarios where context-sensitive, multi-lingual definitions of unfamiliar words are determined and provided to the user via a simple web API. Our proof-of-concept design includes support for English, Spanish, and French language definitions. Preliminary results support the feasibility of WordWeaver including excellent levels of usability based on the System Usability Scale (i.e., mean SUS = 87.17). Future work will include extending support to include additional languages, definition selection tailored to individual reading skill level, and the ability to address more complicated cases of word and part-of-speech disambiguation.
Grouping based on Comparison of data and Grouping Consecutive Data for Logging Visualization

Picviz is a parallel co-ordinate plot which is used to display huge amounts of data for security purposes. The data can be displayed in multiple dimensions using the parallel co-ordinate system. The primary goal of this software is to ease the analysis of data and finding correlation among the various variables. Since the software deals with huge amounts of data, representing the information all at once creates an image with congested or clustered lines. This makes it difficult to distinguish between lines and obtain any kind of information from the image, which is the main objective of the software. The image that is generated is not clear enough to find or detect any kind of correlation among the various variables. This research work describes two methods (plugins) to solve this problem; the idea is to group lines into sets and represent each set as a single line. This reduces the total number of lines in the figure and makes it easily readable and understandable.
Neural Networks for Explanatory Sentence Recognition

Opinion mining has been received extensive interests in natural language processing community. Previous work drives much attention on the polarities of opinions, as well as their holders and targets. Little work concerns the reason that lead opinion holders express such opinions, which are also as important for opinion mining. In this work, the first neural models for explanatory sentence recognition is proposed, detecting whether a given opinionated sentence contains the explanatory information for the expressed opinion. Experimented results show that the proposed neural models achieve better performances than baseline discrete models on two Chinese datasets.
Accelerating Secret Sharing on GPU

A (k, n) threshold secret sharing scheme encrypts a secret s into n parts (called shares), which are distributed to n participants, such that any k participants can recover s using their shares, any group of less than k ones cannot. A robust threshold sharing scheme provides not only the perfect security, but also the tolerance of a possible loss of up to n–k shares. When the size of s grows large (such as multimedia data), the efficiency of the encoding/decoding on s becomes a major problem. We designed efficient implementations for Kurihara et al.’s threshold secret sharing scheme on parallel GPU platforms in a personal computer. Experimental results show that the parallel GPU implementation could achieve an appealing speedup over the sequential CPU implementation when dealing with the sharing of multimedia data.
Multi-faceted Approach to Computer Simplification via Personalization and Layering

Our society is rapidly incorporating digital interfaces into all aspects of our lives. Those who cannot access and use digital technologies will not be able to participate in the society that is evolving. Yet many cannot due to barriers related to disability, literacy, and digital literacy. Solutions exist but solutions for the area of cognitive, language, and learning disabilities, digital literacy and cognitive aspects of aging lags significantly. Those solutions that do exist are often buried in the settings, hard to find and difficult to understand and use. To address this a strategy combining personalization and layering is being used to simplify both computers and the presentation and operation of features intended to help simplify their use. The combination seeks to make features more discoverable, lower the cognitive load needed to explore and employ them, and have them show up automatically on any computer the individual encounters. It also seeks to stabilize the interfaces experienced by users with cognitive or learning disabilities so that they are not always changing as companies update their software. Using layering – the approach provides better fits for people of different abilities and provides both a simpler interface while still allowing access to full functionality if it is needed. A fully functioning prototype is described that is moving to release following pilot testing in American Job Centers, libraries and a Community College.
Research Overview of Amphibious Platform Driving Device

Amphibious vehicles are mainly equipped with water driving devices on the land driving system, which can be divided into caterpillar type, propeller type, water-jet type and air-jet type. The universal drive mode avoids two sets of devices and is simple in structure. The rotating surface vector thruster is designed to drive the amphibious platform in an amphibious way, which can sail from the water to the water. On the basis of this, the impeller driven device of baffle plate is subtracted from hub, and the baffle is added to reduce weight and improve efficiency.
Metal Rubber Blank Automatic Laying Obstacle Avoidance Strategy

The new metal rubber blank automatic laying equipment solves the technical problem of preparing large-sized metal rubber sheet components and metal rubber component blanks with complicated configurations such as holes. Based on the automatic laying process of metal rubber, the metal rubber components are divided into simple configuration and complex configuration, and a new method for judging the feasible laying path of metal rubber is proposed. Based on matlab, a new type of rapid metal rubber blank laying obstacle avoidance strategy was designed, which realized the identification and positioning of the feasible path of metal rubber blank automatic laying, which provided technical support for path planning and automatic laying.