Reviewerly/exHarmony huggingface dataset:
‘Envision’: Visual Representation System

The use of technology is increasing day by day in most of the possible areas. Education is one of the area in which technology has helped students in understanding the basic concepts and theories related to their studies. It has been observed that the primary students face problem in understanding some of basic concepts like arithmetic word problems. Envision is a system that incorporates natural language text input to construct scenes in real-time. Such type of system forges the way for systems in which interaction with and construction of graphical media can be as natural as communicating via text. System aims at taking the basic arithmetic word problems of primary section as input and depicting a solution as an image on the output screen. Natural Language Processing (NLP) is used to process the text given by user and to find the objects to create the scene. The image dataset used in this process will grow as the new objects are encountered in the word problem. The system produces photo-realistic images based on the input text using Generative Adversarial Networks (GAN) and helps students to realize what exactly the sentence means. Low resolution images are formed using Stage-I GAN by sketching the primal shape and colours of the object based on the given text description. The Stage-II GAN processes Stage-I outcome and generates high resolution images with photo-realistic information. The system will also be useful for teachers and parents to teach their students/children in an effective way.
Evaluation of Referential Value based Model using Software Component Repository

Time, space, and cost for software development depend upon the development process of the software and algorithm used during software development. The paper shows that less time, less effort, and less space needed for software development by using Referential Model. Time, efforts, and space are related to cost also. Reference Model is compared with other SDLC models with various parameters and it gives better results. in reference-based software development systems, new dimensions are coming into the picture such as length of networks used, technology adopted in the network systems and response time of the middleware but these are not in the scope of the research paper.
GioWhatsApp Features and Free Download v7.30 (Latest)

WhatsApp is among the most popular messaging apps in the world today. But this doesn’t mean that the app contains all the features that you need. ...
Hybrid Firefly Algorithm with Artificial Neural Network (FA-ANN) Classification Model for Handwritten Character Recognition

Abstract This paper acknowledged the issues regarding HCR performances particularly in the classification stage. It is generally agreed that one of the main factors influencing performance in HCR is the development of classification model. As for the classification stage, the problems identified are related to classification model particularly in Artificial Neural Network (ANN) learning problem that results in low accuracy of handwritten character recognition. Thus, the aim of this study is to develop and enhance the ANN classification model in order to identify the handwritten character better. This paper proposed the hybrid Firefly Algorithm with Artificial Neural Network (FA-ANN) classification model for handwritten character. Firefly algorithm acts as optimisation approach in enhancing ANN particularly by optimize network training process of ANN. National Institute of Standards and Technology (NIST) handwritten character database was applied in the experiment.
Piecewise Multi-linear Model Based Lookup Table Controller for Nonlinear Systems with Input Constraints

This paper proposes a piecewise multi-linear model based lookup table controller for nonlinear systems with input constraints. We construct a piecewise multi-linear model of a nonlinear system. The model is a nonlinear approximation and it can be derived from fuzzy if-then rules with singleton consequents. The model can be expressed as a lookup table. The dynamics is described by multi-linear interpolation of the lookup table elements. We design a piecewise multi-linear controller for the piecewise model via feedback linearization. The controller can be also represented as a lookup table. We propose the lookup table controller for nonlinear systems with input constraints and apply the controllers to TORA (Translational Oscillator with Rotating Actuator) system. Examples are shown to confirm the feasibility of our proposals by computer simulations.
Calibration of Diverse Tracking Systems to Enable Local Collaborative Mixed Reality Applications

Mixed reality (MR) devices offer advantages for a wide range of applications, e.g. simulation, communication or training purposes. Local multi user applications allow users to engage with virtual worlds collaboratively, while being in the same physical room. A shared coordinate system is necessary for this local collaboration. However, current mixed reality platforms do not offer a standardized way to calibrate multiple devices. Not all systems offer the required hardware that is used by available algorithms, either because the hardware is not available or not accessible by developers. We propose an algorithm that calibrates two devices using only their tracking data. More devices can be calibrated through repetition. Two MR devices are held together and moved around the room. Our trajectory-based algorithm provides reliable and precise results when compared to SfM or marker based algorithms. The accurate, but easy to use rotational calibration gesture can be executed effortlessly in a small space. The proposed method enables local multi user collaboration for all six degrees of freedom (DOF) MR devices.
Novel data mining paradigms based on soft computing and machine learning in the current and upcoming information society revolution

Concurrency and Computation: Practice and ExperienceVolume 32, Issue 18 e5937 EDITORIAL Novel data mining paradigms based on soft computing and machine learning in the current and upcoming information society revolution Chang Choi, Corresponding Author changchoi@gachon.ac.kr orcid.org/0000-0002-2276-2378 Department of Computer Engineering, Gachon University, Seongnam-Daero, Republic of Korea Correspondence Chang Choi, Department of Computer Engineering, Gachon University, 1342 Seongnam-Daero, 13120 Gyeonggi, Republic of Korea. Email: changchoi@gachon.ac.krSearch for more papers by this authorFlorin Pop, University Politehnica of Bucharest, Bucharest, RomaniaSearch for more papers by this authorJun Huang, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSearch for more papers by this author Chang Choi, Corresponding Author changchoi@gachon.ac.kr orcid.org/0000-0002-2276-2378 Department of Computer Engineering, Gachon University, Seongnam-Daero, Republic of Korea Correspondence Chang Choi, Department of Computer Engineering, Gachon University, 1342 Seongnam-Daero, 13120 Gyeonggi, Republic of Korea. Email: changchoi@gachon.ac.krSearch for more papers by this authorFlorin Pop, University Politehnica of Bucharest, Bucharest, RomaniaSearch for more papers by this authorJun Huang, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSearch for more papers by this author First published: 07 July 2020 https://doi.org/10.1002/cpe.5937Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume32, Issue18Special Issue: Special Issue on Novel Data Mining Paradigms based on Soft Computing and Machine Learning in the current and upcoming Information Society Revolution (RACS2018). Special Issue on Advanced approaches for information processing in multimedia, decision making and security systems (AdvInfoProc2019)September 25, 2020e5937 RelatedInformation
Bilateral Selection Sort

In today's digital world data is playing wide role and the amount of the is growing drastically.Sorting of data makes it easier to handle data in large scale.There are many sorting techniques are available for sorting of data.Some of these techniques are Bubble Sort, Insertion Sort, Selection Sort, Quick Sort, Merge Sort, Heap Sort, etc.Some sorting techniques work faster for small amount of data and some work faster for large amount of data.I.
A New Approach for Experience Design Education: Developing Conceptual Framework with Storytelling

This study is to introduce a new approach for the UXD (User Experience Design) pedagogy for graphic design students to expand their critical thinking for user-centered design. A variety of UX/UI (User Experience/User Interface) disciplines has been introduced into design education, but a single class and/or elective course appears to be inadequate to keep up with rapidly changing technologies and services for user experiences. Given the limited time and condition for graphic design students to learn various UX/UI disciplines beside required other studio coursework, this study investigates an effective learning model of UX/UI pedagogy approached by developing the UXD conceptual framework with storytelling in the design thinking process. This study found an impact on students’ learning outcomes that demonstrated new paradigm-shifting significant perspectives of the user’s experiences beyond visual design.
MEMO: Designing for the Bereaved

In this paper, we present a design study of people’s mourning experience after the loss of a loved one. We took a design thinking approach for studying people’s needs and further designing and prototyping a digital solution. MEMO, a wooden box designated to keep both physical and digital objects from the deceased, was developed. The digital memories are presented in an organized way in a touchscreen monitor installed in the frontal part of the box. Moreover, MEMO supports sharing the digital memories with other boxes being a part of the same family package of boxes. Finally, MEMO gives the possibility to attach digital content to physical objects through NFC tags and display its digital content in the touch screen just by laying the objects on top of the box lid. We contribute to HCI with our prototype and a better understanding of people’s needs during grief. Our aim is to continue exploring other design alternatives for facilitating grief for the bereaved.
Compensation Measurement Study for Aspherical Primary Mirror of Space Camera with CGH

Abstract With the development of modern optical technology, demands on the performance of optical systems are increasing. Aspherical surfaces are widely used in space optical system considering its excellent ability in correcting aberrations, reducing the optical system weight and simplifying the optical construction. However, the interferometry of this kind of aspherical surface is difficult. To overcome the difficulty in testing aspherical primary mirror of space camera system, we provide a compensation method to accomplish the null testing of the aspherical primary mirror with CGH (Computer generated hologram). Our proposed method is introduced in detail in the theory part. In addition, we provide a detailed design for an actual parabolic surface. The results show that our proposed method can accomplish the testing of aspherical primary mirror in large aperture with satisfactory accuracy.
A Testbed for Rapid Design and Evaluation of VR Navigation Techniques for Industrial Applications

VR is making inroads into industrial applications, especially in product design and presentation, training and simulation use cases. A focus of these applications is on the visualization, exploiting 3D immersive graphics as a central feature of VR. While navigation is often required in these applications to select a suitable location for observing the visualization or interacting with the simulation content it is not in the focus of the designers, often leading to the selection of techniques that are convenient during development because they are available in the implementation toolkit. However, these may be less than ideal for the industrial application context. A large variety of VR techniques for navigation have been proposed in the literature and implemented, both for motion control and guidance, but there is currently little established knowledge on their respective benefits and shortcoming, especially in non-gaming applications. To enable designers of industrial VR environments to make informed choices of navigation techniques we present a testbed that enables quick prototyping and comparative evaluation in the specific application context and with the intended target audience, making a user centered selection of navigation techniques viable.
Study on Size Coding Identification of Manual Rotary Knob

Size coding is a common coding method of assigning different size to a manipulation device during design process. It is widely used in industrial product design and human-machine interface design that need to quickly identify or distinguish alignment devices. In this study, the effects of size coding of manual rotary knob on identification rate and identification time were studied experimentally. The identification correct rate and identification time for paired manual rotary knobs with different diameters were obtained. The results showed that when using the size coding to identify the manual cylindrical rotary knob devices, the knobs with a diameter difference in 4 mm could be distinguished correctly by 100% of female and more than 96% of male. The knobs with a diameter difference in 6 mm could be distinguished correctly by all of the participants. The increase of the knob diameter reduced the number of people who could distinguish the difference in size of 2 mm. The identification time increased with the increasing of the knob diameter. The larger the difference between the two knobs diameter paired, the higher the identification correct rate and the faster the identification time. Female's identification time was significantly faster than male. The results are helpful to understand human's identification limit of the dimension, as well as the gender difference at dimension identification ability. The data could provide reference for product ergonomic design related with dimensional coding of manual rotary knobs.
Utilization of Vanity to Promote Energy Saving Activities

Energy saving activities are human activities to reduce energy consumption. These activities can be an effective measure to reduce energy consumption and humans can start them immediately, so it is expected as a measure against resource depletion and increased carbon dioxide emissions. In this context, there have been attempts made from various viewpoints based on the knowledge that the improvement of understanding it would lead to putting it into practice. However, the results of a questionnaire survey on energy saving activities have indicated that there is a gap between understanding and in-practice regarding energy saving, and improvement of understanding does not lead to in-practice. From this point, it is expected not to improving the understanding, but to propose a method that gives direct motivation for energy saving activities. In this study, we focus on@"vanity", which is considered to be one of human needs for promoting energy saving activities. Here, "vanity" means a desire to pretend to be something good they are not. The purpose of this study is to consider experimentally whether energy saving activities could be applied to the target of vanity. At first, we will consider a method of applying vanity for energy saving activities and construct an experimental system to experimentally verify whether or not vanity could act as a motivation to promote energy saving activities. The experiment will be conducted using the experimental system to check if there are any persons who activate vanity regarding energy saving activities.
Correlation Between Low Level Properties of Image and Semantic Using Algorithm BP Neural Network

The paper proposes a method to improve the modeling of subjectivity and human understanding based on the annotation of emotional semantics of images using the theory of fuzzy sets. Adaptive acceleration and reverse propagation of the neural network (BP). The annotation method was tested by analyzing images from the solar image database. In addition, the accuracy of the search is based on 85% of our method. This study is the basis for a more accurate semantic analysis and verification.
Magical Pond: Exploring How Ambient and Tangible Art Can Promote Social Interaction at Work

Social interactions between employees are beneficial for employees’ well-being and a company’s productivity. We are interested in how interactive technology can be designed to create a more enjoyable work environment and support social interactions at work. Using a four-step design process (research, ideate, prototype and test) and rapid prototyping, we created a prototype implementing elements of both ambient and tangible user interfaces to engage employees during coffee breaks. We created a concept of a magical pond to increase the ludic design and playfulness of the prototype. Glass crystals, ambient lighting and fairy wings cause an anticipated contrast to the normal work environment. Here, we present our design process and prototype to inspire future work in the field.
Automatic calibration and simplified decoding pipeline for plenoptic camera

Plenoptic cameras attract extensive attention these days for their unique information acquisition and postcapture processing capability. In prior work, the decoding pipeline of plenoptic cameras mainly consisted of calibration, aligning, slicing, and resampling. Besides, slicing and resampling are performed on a generated grid of projected centers. Such methods consist of a series of processing steps, and the errors from different steps are accumulated. We propose a simplified decoding pipeline for plenoptic cameras. We first propose a coarse-to-fine strategy to calibrate the microlens array accurately and automatically. Then, unlike prior work, we perform slicing and resampling using a nonregular grid of projected centers. Such a strategy avoids using aligning and excludes the dark regions among different microlenses from decoding. Experiments on published datasets and real-world scenes demonstrate the validation of the proposed method.
Intergrating a Minimal Differentiator Expressions Approach into CBR for Linguistic Pattern reuse in Crime Relation: Proposed Method

Abstract The relation extraction of crime news can help the monitoring specialists to accelerate the crime investigation. However, constructing patterns or designing templates manually requires domain experts. Also the built patterns do not guarantee complete differentiation among different relation instances. The automatic detection of crime entities and relationship among entities can help the regulatory authorities to accelerate the crime investigation and decision support instead of being reliant on manual process. This study aims to increase the effectiveness of the extraction of crime entities and relationship among entities based on the determination of crime lingusitic pattern using Minimal Differentiator Expressions (MDEs) that represent the cases that will be used by the CBR classifier. The proposed extraction methods can help in compiling a highly accurate and machine-understandable crime knowledge bases which can support the regulatory authorities’ investigation. This paper conducted on our proposed MDEs algorithm for linguistic pattern reuse in CBR approaches.
A Detailed Examination of User Interactions with Two Different Data Interfaces

We present results of a detailed analysis of ten screen capture videos documenting how participants in a laboratory user study used two different interfaces to complete data exploration tasks. Findings presented in this paper include methodological observations as well as those concerning the design of both interfaces. On the methodology side, we demonstrate that observation and analysis of videos that capture how people used a system can uncover aspects of interface learnability, different approaches to problem solving and efficiencies associated with good design. In the context of the two compared interfaces, we document the details of how participants used each interface: the affordances they used and patterns of interface exploration they followed. Combined with the data on task completion time and accuracy, these analyses provide empirical evidence to our assumptions regarding what makes a particular interface efficient. These analyses can greatly inform re-design efforts after pilot evaluations, complementing time and accuracy data. They can also help guide user training and automated user support.
Key Factors Analysis of Line Loss Rates in Transformer Regions Based on Random Matrix Theory

In order to analyze the key factors of line loss rate in transformer regions, a method is proposed based on random matrix theory. Firstly, the experimental matrix and the comparison matrix are constructed by using the big data of the power system, and the two types of data are separately subjected to sampling through the sliding window. Secondly, using the MSR (Mean Spectral Radius) as the evaluation index to indicate the correlation between the key factor and the line loss rate, the correlation is quantized by calculating the MSR (Mean Spectral Radius) of the experimental matrix and the comparison matrix. Finally, the line loss data of the transformer regions in a city of East China is analyzed. The results show that the proposed method can describe the correlation between the line loss rate and the influence factors better than the traditional mathematical statistics method.
Towards Personalized Annotation of Webpages for Efficient Screen-Reader Interaction

To interact with webpages, people who are blind use special-purpose assistive technology, namely screen readers that enable them to serially navigate and listen to the content using keyboard shortcuts. Although screen readers support a multitude of shortcuts for navigating over a variety of HTML tags, it has been observed that blind users typically rely on only a fraction of these shortcuts according to their personal preferences and knowledge. Thus, a mismatch between a user's repertoire of shortcuts and a webpage markup can significantly increase browsing effort even for simple everyday web tasks. Also, inconsistent usage of ARIA coupled with the increased adoption of styling and semantic HTML tags (e.g., <div>, <span>) for which there is limited screen-reader support, further make interaction arduous and frustrating for blind users.
Experience Communication Design of Intangible Cultural Heritage Shanghai Style Lacquerware Brand Based on H5 Game

The lacquer craft of Shanghai Style Lacquerware has been listed as the intangible cultural heritage of Shanghai since 2013. However, Shanghai Style Lacquerware falls into a solid storage protection barrier at the present stage. As the influential non-material culture, it wins certain market recognition but lacks a perpetual attraction to the young audience. Based on this problem, this paper conducts propagation and promotion for Shanghai Style Lacquerware in the form of H5 game, and carries out design and research from the angle of experience communication. It is expected that this study could further expand the core user group and promote the appeal of the brand, as well as provide a fundamental design paradigm and effective reference for the transmission of intangible cultural heritage.