Reviewerly/exHarmony huggingface dataset:
Envisioning the Future Scenario Through Design Fiction Generating Toolkits

Design with value orientation and World view are increasingly the basis of envisioning the future scenarios. Exploring the value of design from the perspective of society and humanity, further guiding the direction of science and technology have gradually become one of the future development directions of human-computer interaction field. Design concepts such as design fiction and speculative design have evolved into useful tools for thinking about future directions and reflecting on the problems posed by technology. However, the current researches mainly focus on provoking thinking and developing from the perspective of criticizing reality. And has not yet formed a mature practical method which can guide the design practice. Therefore, this essay mainly discusses how to integrate the concept of Design fiction with interaction Design and service Design. Make it more conducive to promoting the innovation of existing smart products or services, and help designers generate more innovative ideas. This essay develops the content of Design fiction and forms a structured Design toolkits: Future vision generating toolkits, to guide students in teaching and research to conduct future-oriented research in the early stages of Design. After the application, the feedback is relatively successful, which also has a good guiding and promoting effect on the further design practice.
Secure Agents for Supporting Best-Balanced Multilingual Communication

There are technologies that support intercultural collaboration by allowing people to communicate more easily across the barriers of culture and language. However, sometimes user-sensitive information needs to be accessed. In best-balanced machine translation, a method that recommends the languages and machine translation services that should be used to assist multilingual group communication, user test scores must be disclosed to generate the language recommendations. There are various methods that can protect the data (test scores) and methods that allow simple statistic calculations, however, no existing method supports the complex calculations needed by the best-balanced machine translation method. This paper emphasizes the importance of user privacy in intercultural collaboration. We provide the initial idea and show how user test scores can be protected while supporting the recommendation system. We introduce a detailed example to discuss the design of a suitable user interface.
Integrity service application model with prevention of cryptanalytic attacks

Due to the inevitable use of cloud computing, several organizations both business and academic move to store their valuable data from manual record keeping to computers. Despite the many advantages given by cloud computing, security, privacy and integrity threats are available in the cloud due to the nature of hackers. In this paper, integrity is focused for verification. Encrypted data which is stored in secure outsourcing storage should be verified for integrity because of traitors in every field. Web browsers connect Web Application Programming Interfaces (API) to the cloud. Virtual Private Server (VPS) which is hosted in the cloud is deployed using web browsers. This paper proposes Integrity Service Application Model (which is installed in the VPS) with prevention of cryptanalytic attacks. Proposed work is implemented in unmanaged VPS and results are analyzed. Brute force attack, dictionary attack, cut and paste attack, Denial of Service attack, replay attack, known plain text attack and cipher text only attacks are prevented in this paper. Authentication techniques used for client verification are Random Key Code using One Time Password (OTP) and dynamic missing random number puzzle. Major advantage of the proposed paper is that the integrity is verified by private auditing using Proof of Retrievability method. Third Party Auditor (TPA) who is trusted partially is eliminated.
Atomic weights and the combinatorial game of bipass

We define an all-small ruleset, bipass, within the framework of normal play combinatorial games. A game is played on finite strips of black and white stones. Stones of different colors are swapped provided they do not bypass one of their own kind. We find a simple surjective function from the strips to integer atomic weights (Berlekamp, Conway and Guy 1982) that measures the number of units in all-small games. This result provides explicit winning strategies for many games, and in cases where it does not, it gives narrow bounds for the canonical form game values. We find game values for some parametrized families of games, including an infinite number of strips of value ⁎, and we prove that the game value ⁎2 does not appear as a disjunctive sum of bipass. Lastly, we define the notion of atomic weight tameness, and prove that optimal misére play bipass resembles optimal normal play.
Fast Imputation: An Algorithmic Formalism

Handling missing data has been a challenge for researchers. The foundations of data science adhere to decisive imputation witnessing correct and definitive values in the dataset post-imputation. The filling of missing values in the dataset should make it functional for information exploration and exploitable for learning data patterns and performing complex tasks like predictive analysis. The objective of the chapter is to fill missing values intelligently so that the dataset remains equitable and gives correct results for predictions. This chapter presents an inspection on missing value imputation techniques and their usage exploited for time series prediction and pattern analysis, illustrating the deficits in datasets post-imputation due to inefficient imputation techniques used and improper selection of imputation methods when given a dataset failing to pin its composition to imputation method, disrupting its depth-wise and breadthwise statistics and homogeneity. The current work in this chapter is a comprehensive investigation of theoretical underpinnings of the key properties of data homogeneity and its statistics post-imputation. The major contribution of this chapter is the balance factor for homogeneity and heterogeneity statistics induced post-imputation, incorporating speedy and composed imputation. Since recommender systems are most suitable platform over which the theoretical findings in this chapter could be practically performed. Therefore, well-known dataset typically used for evaluating recommender systems of large size 1 M, 2 M, and 10 M ratings have been exploited for simulations. The objective of the chapter is to fill missing values intelligently so that the dataset remains equitable and gives correct result for predictions.
Involving Users in Sound Design

Sound plays an important role in our well-being, our experience of the world around us and our understanding of products, services and interactions. Sound affects our sense of place, and it can modulate our feelings, agency and attention. In a world of increasingly ubiquitous digital technologies, sound may prove a valuable resource for sense making as well as experience- and UX design. Yet the possibilities and challenges of user participation in sound design processes are not well understood. This paper reports on a pilot study examining how participants can be involved in different phases of a sound design process. The results and reflections aim to help researchers and designers in an effort to better understand some of the dynamics of moving from a largely expert driven approach to sound design towards a more user-oriented and participatory approaches.
Yayy! You Have a New Notification: Co-designing Multi-device Locative Media Experiences with Young People

This paper explores the involvement of young people in the design of mobile technologies that provide locative media experiences. The specific focus of this work was to understand how multiple devices (phones, tablets and smart watches) could be used within this context. Young people are prolific early adopters and users of mobile technologies. The motivation for involving your people was to gain insights into their ideas and preferences for multi-device usage within the context of locate media experiences. In this work we utilised a design technique specifically developed for use with young people in two design sessions. The designs were analysed in order to gather design insights for mobile technologies providing locative media experiences, and understand the use of multiple devices within the designs created. The key contributions of this work is design insights gathered from young people along with more general findings from running of the design sessions.
Resolution enhancement of images pair based on block cross interpolation

The image resolution enhancement concerns with the improvement of image resolution based on merging of several acquisitions of low-resolution observations by camera. In this paper, an algorithm for increasing the resolution of two images shifted by half a pixel horizontally and vertically is proposed, based on block cross-interpolation. The algorithm aims at reducing the errors in the known (bicubic and averaging) methods, using the criteria of MSE and PSNR.
Systematic Analysis of Browser History Evidence

Traces of browser usage are an important piece of digital evidence in many cases. In the literature, it is usually assumed that the entries in the browser history and the browser cache reliably indicate which URL was accessed and at which time this was done. Using the market leaders Google Chrome and Mozilla Firefox as examples, and comparing our results with older versions of Internet Explorer, we show that this exact correspondence between stored URL and real URL on the one side and the stored timestamp and the real time of the action is not always true. On the contrary, it is rather common that browsers record the timestamp of a user action several seconds after the action really happened. It can even happen that browsers sometimes record a different domain from the domain that was actually visited. The basis for our insights was a large scale experiment using an automatic deployment of virtual machines, resulting in a dataset of considerable size.
Application of Particle Filter in Video Moving Target Tracking

Abstract Aiming at solving the problem of large tracking error in the tracking process of video moving targets with the unscented Kalman filtering method, a particle filter algorithm is proposed to track video moving targets to improve the tracking effect. Particle filtering is the minimum variance estimation of the system state through the posterior probability distribution. The applications of particle filtering and unscented Kalman filtering in tracking video moving target are compared by using Matlab simulation software. The results show that the particle filter has higher accuracy and better tracking performance than the unscented Kalman filter in tracking video moving target.
Reflections on Data Visualization Design by Professionals in the Tourism Field

To extract information and knowledge of the large amounts of data generated nowadays is a need that has been challenging researchers from several fields such as computing, communication, health and applied social sciences. In the context of tourism data in Brazil, from a specific scenario, we noticed that the field’s professionals don’t use techniques and tools for processing and presenting data collected by them, which may be compromising the extraction of relevant information and knowledge of these data. In order to support these professionals in the reflection on the data and in planning the best way to present them to their target audience, a study was carried out with turismologists, using a customizable visualization model, intended for the planning of interactive narrative views of data. The template allowed these professionals a new way of planning the presentation of their data, as well as knowledge of computer terms and techniques that may be appropriated by them in their data analysis context.
Stability of Fixed-Point Values in Reduced Fuzzy Cognitive Map Models

The authors have already presented their method for reducing oversized FCM models, and also have analyzed the prediction error of the reduced models. These investigations assumed that models have a single fixed-point attractor. The novelty of this paper is that it deals with the stability behavior of the fixed-point attractor value of original-reduced model pairs and compares the number of fixed-point attractors found, the asymptotic values of the concepts, and also checks if any limit cycles or chaotic behavior occur. The method of comparison and also the first results made with two real-life and one synthetic model are presented and some conclusions are taken.
Proposal of a Training Method for Beat Count Ability

There are several different musical abilities, and previous researchers have developed various tests to measure them. For disc jockeys (DJs), the ability to find changing points in phrases and melodies while listening to music is essential because they need to find these points for mixing two songs. Herein, we have defined this ability as “beat count ability.” Beat count ability is not well known, and no proper training methods exist. Therefore, we propose a training method for the improvement of the beat count ability to enhance basic mixing skills of beginner DJs. There are three training steps in the method, and the users learn about beat count ability by watching learning videos and answering confirmation questions. We conducted an experiment with five participants who had no prior musical experience. As a result, our proposed training method was shown to improve their beat count ability.
A Direct Transaction Model for Energy Blockchain Mobile Information System Based on Hybrid Quotation Strategy

This paper designs a direct transaction model for energy blockchain mobile information system based on hybrid quotation strategy, aiming to improve the smartness, real-time property and information security of the direct transaction between distributed power generation companies (DPGCs) and users. Specifically, the continuous auction mechanism was adopted to improve the matching efficiency between the transaction parties, injecting fresh impetus to the power market. In the blockchain system, the serial number of the transaction script was marked with a special label to prove the power quantity being transacted, such that the two parties can exchange the digital proof of transaction power and the transaction fee. Next, the hybrid quotation strategy was introduced to minimize the impacts of frequent fluctuations in the electricity transaction price of the continuous auction market. In this way, the two parties can flexibly adjust their quotations according to the changes of market information. The case study shows that our model outperformed the traditional centralized transaction model in efficiency and mobile power information security. The research findings provides a reference for further research on the application of block chain technology in distributed energy mobile power information transaction.
A Weighted-Logic Representation of C-Revising Ordinal Conditional Functions

The problem of belief change is considered as a major issue in managing the dynamics of an information system. It consists in modifying an uncertainty distribution, representing agents’ beliefs, in the light of a new information. In this paper, we focus on the so-called multiple iterated belief revision or C-revision, proposed for conditioning or revising uncertain distributions under uncertain inputs. Uncertainty distributions are represented in terms of ordinal conditional functions. We will use prioritized or weighted knowledge bases as a compact representation of uncertainty distributions. The input information leading to a revision of an uncertainty distribution is also represented by a set of consistent weighted formulas. This paper shows that C-revision, defined at a semantic level using ordinal conditional functions, has a very natural representation using weighted knowledge bases. We propose simple syntactic methods for revising weighted knowledge bases, that are semantically meaningful in the frameworks of possibility theory and ordinal conditional functions. In particular, we show that the space complexity of the proposed syntactic C-revision is linear with respect to the size of initial weighted knowledge bases.
The minimal polynomials of powers of cycles in the ordinary representations of symmetric and alternating groups

Denote the alternating and symmetric groups of degree [Formula: see text] by [Formula: see text] and [Formula: see text], respectively. Consider a permutation [Formula: see text], all of whose nontrivial cycles are of the same length. We find the minimal polynomials of [Formula: see text] in the ordinary irreducible representations of [Formula: see text] and [Formula: see text].
Digital image improvement by integrating mages of different resolutions

Abstract This proof of concept paper evaluates the performance of super-resolution (SR) imaging when combining a sequence of images of different resolutions. Traditional work in SR requires accurate sub-pixel registration and/or alignment techniques. The assumption is that all the frames in the sequence are captured with a random sub-pixel translation and at the same spatial resolution. However, if there is no relative motion between the scene and the sensor, the super-resolution problem can be approached by integrating images of different resolutions using the image re-sampling ratios as the enhancing factor. This may be the case of using digital zooms whereby a scene of interest is enhanced by integrating the information obtained from capturing said scene at different zoom levels. Preliminary results of conducting tests on synthetic and real data (scanned images) are presented. In both cases the process under-samples the image of an object of interest within a scene at different resolutions. By integrating these images using an algebraic process an improved composite is obtained containing more spatial information than that provided by simply interpolating on a single image.
Devotees of science and education of Crimea (the role of nobility in the establishment of Taurida National University)

The subject of this research is the specific contribution of the representatives of nobility and intelligentsia of Taurida Governorate to the establishment of Taurida National University in 1916-1918. The foundation of this university greatly benefited the development of culture, science and education in Crimea and Southern Russia. The goal consists in reflection of progressive and constructive influence of separate individuals on the formation of humanistic and sociocultural space of Taurida Governorate; as well as in systematization of information from dozens of sources for creation of the more objective and precise course of events. The relevance and scientific novelty are defined by the need to reconsider the Crimean cultural processes of 1916-1918; determine and describe particular factors related to the contribution of nobility and intelligentsia of Taurida Governorate to the establishment of Taurida National University. Emphasis is made on the contribution of separate individuals and scientific communities, as well as their role in the process of emergence of the first university in Crimea. The progressive-constructive character of the activity of nobility and intelligentsia in historical-cultural space of Crimea is demonstrated. Based on application of objective and contemporary approach to the events of 1916-1918, the author gives assessment of the events that correspond to representations of modern science, as well as conducts of comparative and generalizing analysis of the data from a number of sources.
Soft Issues that Limit Sharing of Tacit Knowledge within Software Development Project Teams

The sharing of tacit knowledge is a challenge within software development teams (SDPs) and this resulted in high failure of SDPs. The majority of the studies that were conducted focused on the barriers on knowledge in general not taking into consideration the soft issues that limits the sharing of tacit knowledge. Sharing of tacit knowledge rely on the human element especially the custodian of tacit knowledge. The main aim of this study is to identify soft issues that limits the sharing of tacit knowledge within SDP teams. Researchers conducted a grounded theory study. Researchers interviewed a total of 28 participants to collect qualitative data to achieve the main objective of the study. The researcher conducted grounded theory analysis to achieve the objective of the study. The results of the study indicate lack of verbal communication, poor relationships, personality and lack of critical thinking as soft issues that limit the sharing of tacit knowledge within SDP teams.
An interview with Anne-Marie Chisnall from Write on plain English and information design

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Knowledge extraction from Copernicus satellite data

Abstract We describe two alternative approaches of how to extract knowledge from high- and medium-resolution Synthetic Aperture Radar (SAR) images of the European Sentinel-1 satellites. To this end, we selected two basic types of images, namely images depicting arctic shipping routes with icebergs, and - in contrast - coastal areas with various types of land use and human-made facilities. In both cases, the extracted knowledge is delivered as (semantic) categories ( i.e. , local content labels) of adjacent image patches from big SAR images. Then, machine learning strategies helped us design and validate two automated knowledge extraction systems that can be extended for the understanding of multispectral satellite images.
The Effect of Sensory Feedback on Time Perception of Interface Indicator from Age Difference

The aging of the population is an irreversible trend, and the physiological problems caused by aging make the use of mobile devices a challenge. This study started from the placebo theory of human-computer interaction and pointed out that tactile feedback could make users have a positive experience. Based on the attention door model, experiments were conducted to explore whether different types of feedback could reduce the waiting time perception of users. The experiment divided the experimental group and the control group by age, conducted three types of feedback and two tasks. Using the T-test to analyze significance, and then conducted interviews after the experiment to collect qualitative data. The results showed that in short-term tasks, there were significant differences in the types of feedback that include haptic feedback. For the elderly, the addition of haptic feedback might not reduce time perception. However, in terms of preference, the elderly generally liked the type which including haptic and visual feedback. According to the Qualitative result, haptic feedback could make the operation certainly for the elderly.