Reviewerly/exHarmony huggingface dataset:
Raspberry Pi Controlled Home Security and Defense Robot with Visual and Audio Recognition with Android Application Control

In this fast-pacing world, security threats are increasing with growing technologies. Science and innovation in this particular area has grown exponentially and is still on its way to discover more. In recent years, security solutions are getting merged with fields like Artificial Intelligence, network computing, and automation. This work is designed to develop an application-controlled robot for remote operation. It comes with a wireless camera and microphone for surveillance purposes. The application is developed to control the motion, to transmit real time video and audio input from the surroundings. The output can be managed by the users accordingly. A robot is a pre-programmed electronic tool capable of performing meaningful tasks without any external support. This work suggests applications based on remote operation due to which wireless communication, automation and the user interface becomes an integral part of disc.
Triggering Differential Privacy to Counter Inference in Statistical Database Security

Inference attacks on statistical databases represent a complex issue in institutions and corporates since it is hard to detect and prevent, especially when it is committed by an internal adversary. The issue has been manifested further with the widespread of data analytics techniques in industry and academia, besides outsourced services. Even when the released statistical data has been anonymized and the identifying attributes are removed, targeted individuals can be spotted in such data. Therefore, preventing sensitive statistical data leakage is crucial for protecting the privacy of individuals or events, but such measures should not form utilization obstacles or degrade the data utility. This paper proposes an anti-inference technique for preserving the privacy of sensitive data in statistical databases. Unlike existing solutions, which either require considerable computing resources or trade-off between statistical data accuracy and its privacy, our solution is designed to maintain the accuracy while privacy is ensured.
Applying LETOR and Personalization to Search: a Trade Me Practice

Nowadays, E-commerce platforms demonstrate an increasingly high demand for advanced search functions to retrieve relevant products and thereby boost sales. However, traditional approaches, such as the widely-used text similarity, are normally challenged by the high complexity of queries, context, and inventories that could only be interpreted by more sophisticated techniques. Thus, many emerging machine learning solutions have been attempted to achieve high search relevance in E-commerce scenarios. In this paper, we present the successful application of such techniques on Trade Me Marketplace that is the largest E-commerce platform in New Zealand. In our work, the joint application of Learning to Rank and personalization is validated to significantly benefit the quality of search through a series of offline and online experiments. Besides the extensive experimental results, we also summarize the best practices and learnings of the research and development process so as to provide insights that benefit both academia and industry.
Concept Mapping

While in the early sixties, the hope was still concentrated on literally acquiring information like through endless rehearsing and mutual associations. The seventies made a Copernican turn an entirely understood cognition as a meta-process; human learning and understanding can only evolve when self-reflection establishes recursive processes that lead to consciousness and even creative problem solving. Cognitive tools like conceptual representations, modeling and simulation tools took over the dominant memorization approaches and considered human learning as a constructivist process; meaning could only emerge after the learner literally ‘build’ abstract concepts by assembling elementary ones into the higher order ones. For instance, the concept of domestication can only establish after concepts like housing and living conditions have been built in the learner’s mind.
On realization of isometries for higher rank quadratic lattices over number fields

Let <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper F"> <mml:semantics> <mml:mi>F</mml:mi> <mml:annotation encoding="application/x-tex">F</mml:annotation> </mml:semantics> </mml:math> </inline-formula> be a number field, and <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n greater-than-or-equal-to 3"> <mml:semantics> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>≥<!-- ≥ --></mml:mo> <mml:mn>3</mml:mn> </mml:mrow> <mml:annotation encoding="application/x-tex">n\geq 3</mml:annotation> </mml:semantics> </mml:math> </inline-formula> be an integer. In this paper we give an effective procedure which (1) determines whether two given quadratic lattices on <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper F Superscript n"> <mml:semantics> <mml:msup> <mml:mi>F</mml:mi> <mml:mi>n</mml:mi> </mml:msup> <mml:annotation encoding="application/x-tex">F^n</mml:annotation> </mml:semantics> </mml:math> </inline-formula> are isometric or not, and (2) produces an invertible linear transformation realizing the isometry provided the two given lattices are isometric. A key ingredient in our approach is a search bound for the equivalence of two given quadratic forms over number fields which we prove using methods from algebraic groups, homogeneous dynamics and spectral theory of automorphic forms.
Improved Interpolation with Sub-Pixel Relocation Method for Strong Barrel Distortion

In this paper, we propose an improved interpolation method with sub-pixel relocation method to correct fisheye images with strong barrel distortion. The proposed method takes as inputs the fisheye image and the projection model, and outputs the corrected perspective image. In the method, we project the fisheye image pixels to perspective image plane using the backward projection. The projected pixels are treated as scatter data and their location is refined by the sub-pixel relocation method. The method is designed to aim at the subpixel bias phenomenon of the projected pixels.The sub-pixel relocation method relocates the projected pixel centers to the centers of the projected pixels. Then the relocated points are meshed by the Voronoi diagram method to select the neighbors of the interpolation points. The weights of the neighbors are calculated using the inverse distance method. The index of the neighbor and their weights are stored in a look-up-table structure for reutilization. For each fisheye image, the proposed method can quickly find the neighbors of the interpolation points and the weight of each neighbor through the look-up-table. Test results illustrate that the proposed method achieves the best accuracy among the tested method for fisheye images with strong barrel distortion.
Big data analysis model for predicting operational risk in overseas construction projects

In this study, a big data analysis model was developed to predict the risks associated with overseas projects and a big data analysis technique. The risk analysis model can estimate the probability-cost interval for a planned project’s final cost by forming a probability density function and project costs through comparative analysis of data for a planned project and data for a previous similar project. This study attempted to collect a vast amount of information from the web and social networking services (SNS) in order to verify whether this information is sufficient to support the use of the web data analysis method used in this model. To this end, it was assumed that regional traffic conditions would be indicated on the web and SNS. In addition, two regions with different traffic conditions were selected, and then traffic-related keywords and words to enable assessment of traffic conditions were examined. Text information including these words was collected and the proportions of positive and negative words were analyzed. Results confirmed that two regions with different traffic conditions also had different numbers of negative words exhibited on the web.
Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Dong<i>et al</i>.

Journal of the Royal Statistical Society: Series B (Statistical Methodology)Volume 84, Issue 1 p. 50-54 DISCUSSION REPLY Authors’ reply to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al. Jinshuo Dong, Jinshuo Dong University of Pennsylvania, USASearch for more papers by this authorAaron Roth, Aaron Roth University of Pennsylvania, USASearch for more papers by this authorWeijie J. Su, Corresponding Author Weijie J. Su suw@wharton.upenn.edu University of Pennsylvania, USA Correspondence Weijie Su, Department of Statistics, Wharton School, University of Pennsylvania, USA. Email: suw@wharton.upenn.eduSearch for more papers by this author Jinshuo Dong, Jinshuo Dong University of Pennsylvania, USASearch for more papers by this authorAaron Roth, Aaron Roth University of Pennsylvania, USASearch for more papers by this authorWeijie J. Su, Corresponding Author Weijie J. Su suw@wharton.upenn.edu University of Pennsylvania, USA Correspondence Weijie Su, Department of Statistics, Wharton School, University of Pennsylvania, USA. Email: suw@wharton.upenn.eduSearch for more papers by this author First published: 21 February 2022 https://doi.org/10.1111/rssb.12463Read 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 onFacebookTwitterLinked InRedditWechat Volume84, Issue1February 2022Pages 50-54 RelatedInformation
Research and Manualisation at ISCRA Institute: The DAN Model: Digital, Analogic, Narrative

The current chapter describes the DAN (digital, analogical, narrative) manualized intervention developed over the past two decades at the Iscra Institute in Modena, Italy. The name Iscra means spark, the title of a famous newspaper founded to free the Russian Empire divulgating social democratic ideas. The intervention is aimed at promoting family well-being by applying systemic therapeutic methods through working with couples. Over the years, the DAN model has been perfected by including widely used digital, analogical and narrative tools, and a pilot study has been undertaken by having trainee family therapists carry out the intervention on young families. The tools developed by the Iscra research team, such as the tridimensional genogram, the relational style profile couple interview (RSPc) and the better formed tale, are briefly described in this chapter and the reader will find a case report in the following chapter ‘The DAN Model in Practice’. It is argued that the manualized DAN intervention provides a simple way of applying important and established systemic techniques that will promote family well-being by helping young couples develop reflexivity and resilience. The SCORE had been adapted avoiding pathological terms and administered three times, having the best result at the end of the process.
Research and Implementation of Image Recognition FOR Certificate Sortingand Stamping Robot

This paper designs a certificate sorting and sealing robot, and it introduces a method of collecting and processing certificate image. By analyzing the distribution of three basic colors of its pixels, it realizes the fast location and extraction of effective information. Thus, the order and action of sorting, stamping, certificate checking and issuing are issued to the lower manipulator of the certificate sorting and stamping robot.
Designing Interactive Musical Interfaces

This chapter presents research into modern approaches to the concepts, designs, and methods used in the creation of new musical interfaces and algorithms, as well as methods for mapping novel interactions onto creative musical expression. Techniques such as embedded digital signal processing enable the development of fully stand-alone devices. The chapter considers several designs as case studies in the research area of real-time musical interaction and performance, and the many choices that must be made when mapping human interaction to sonic parameters. Some designs are based upon existing instruments that are augmented with new capabilities, while others focus on pedagogy or accessibility to help new or disabled musicians to learn playing techniques. Interactive performance systems can encompass multiple-player instruments, where dancers or the public co-participate in music making, while other designs incorporate robotics or haptics in order to augment human capabilities via hybrid (digital/physical) systems.
Efficient Preparation of Cyclic Quantum States

Universal quantum algorithms that prepare arbitrary n-qubit quantum states require <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${O\left(2^{n}\right)}$</tex> gate complexity. The complexity can be reduced by considering specific families of quantum states depending on the task at hand. In particular, multipartite quantum states that are invariant under permutations, e.g. Dicke states, have intriguing properties. In this paper, we consider states invariant under cyclic permutations, which we call cyclic states. We present a quantum algorithm that deterministically prepares cyclic states with gate complexity <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${O\left(n\right)}$</tex> without requiring any ancillary qubit. Through both analytical and numerical analyses, we show that our algorithm is more efficient than existing ones.
Antibacterial gel dispenser with automated thermometer

The SARS-CoV-2 virus. Declared a health emergency at the international level since its origin in Wuhan (China) in December 2019, the spread occurs by an infected person who exhales droplets of saliva and contagion occurs when we touch contaminated surfaces or people and touch our eyes, nostrils or mouth. Therefore, some prevention measures are used to avoid contagion, such as social distancing, the use of face masks or a mask and the use of antibacterial gel which is of great importance because it is used in all public places to prevent the risk. contagion. Therefore, the objective is to make an automatic antibacterial gel dispenser for the Tecnológico de Estudios Superiores de Jilotepec to minimize the risk of contagion. The device itself works by means of a sensor that when putting the hand detects and dispenses the gel, at the same time it takes the temperature that the reading shows on the screen, considering that it is one of the main symptoms of the disease, this contributes to have a preventive in the disinfection of the hands with gel and temperature measurement.
The Variance of Variance

Chance models – mechanisms that explain empirical regularities through unsystematic variance – have a long tradition in the sciences but have been historically marginalized in management scholarship, relative to an agentic worldview about the role of managers and organizations. An exception is the work of James G. March and his coauthors, who proposed a variety of chance models that explain important management phenomena, including the careers of top executives, managerial risk taking, and organizational anarchy, learning, and adaptation. This paper serves as a tribute to the beauty of these “little ideas” and demonstrates how they can be recombined to generate novel implications. In particular, we focus on the example of an inverted V-shaped performance association centering around the year when executives were featured in a prominent listing, Barron’s annual list of Top 30 chief executive officers. Our recombination of several chance models developed by March and his coauthors provides a novel explanation for why many of the executives’ exceptional performances did not persist. In contrast to the common accounts of complacency, hubris, and statistical regression, the results show that declines from high performance may result from the way luck interacts with these executives’ slow adaptation, incompetence, and self-reinforced risk taking. We conclude by elaborating on the normative implications of chance models, which address many current management and societal challenges. We further encourage the continued development of chance models to help explain performance differences, shifting from accounts that favor heroic stories of corporate leaders toward accounts that favor their changing fortunes.
Digital Clones

Along the way to an artificial superintelligence, human work will continue to change dramatically. This chapter discusses one of these transformations, the introduction of professional digital clones: AI systems that are deep (but not fake) clones of working human professionals. One example from the field of clinical psychology is discussed in detail. Even though there is nothing superintelligent about this particular example, this deliberation allows not only to touch on changes to human work practices but also to introduce some of the safety measures that may be useful for advanced AI systems. If there is ever a chance to control an artificial superintelligence, then this system truly must be a social actor and work as part of a team of human professionals.
Eye Tracking Sensors as a Contactless Interfaces in Wireless Security Protocols

This paper describes new possibilities of eye tracking technology and sensors application in wireless security protocols especially visual authentication codes. A new technique, which are dedicated to deep semantic analysis based on the registration, processing and analysis of attention attractors and their perception by individual person, will be proposed. Such attractors can be detected on the basis of observation of how attention is focused on some specific features of the examined information groups. The variety of the examined information and data can enable a wide-ranging analysis of the issue discussed here; as a result, can assess the degree to which human attention focuses on the process of meaning interpretation of various cognitive features and observations.
Compositionality of concepts

Abstract This chapter focuses on the problem of concept composition: to obtain a complex concept such as RED SQUARE, the mind has to be able to combine simple concepts, RED and SQUARE. It is argued here that compositionality constraint is a necessary element of any cognitively plausible theory of concepts. The chapter provides an overview of the theories of concepts that have been particularly influential in cognitive science, such as the Inferential Roles Semantics and the Prototype theory. At the same time, it aims to show how these theories still fall short of providing a satisfying solution for compositionality constraint. The chapter concludes by emphasizing the importance of compositionality constraint by stating that it should be regarded as a critical (rather than a secondary) concern that guides both theoretical and empirical research on concept representations.
Power output control method of small power photovoltaic grid connected power generation under complex illumination

Abstract Due to the irregular change of lighting conditions, there is a large error in the control of photovoltaic grid connected power output. Therefore, this paper proposes proposes a power output control method for low-power photovoltaic grid-connected power generation considering complex illumination. Based on the analysis of the basic characteristics of photovoltaic grid connected power generation, the output characteristics of photovoltaic array under complex lighting conditions are studied. Combined with its variation characteristics, based on fuzzy control strategy, the output of photovoltaic grid connected energy storage system is adjusted by filter control with variable time constant, and economic operation and stable operation are taken as constraints. The test results show that the design method has a high degree of fit between the control of photovoltaic grid connected power output and the actual results, and the error is within a reasonable range, which is obviously due to the two groups of comparison methods.
Bounded game-theoretic semantics for modal mu-calculus

We introduce a new game-theoretic semantics (GTS) for the modal mu-calculus. Our so-called bounded GTS replaces parity games with alternative evaluation games where only finite paths arise; infinite paths are not needed even when the considered transition system is infinite. The novel games offer alternative approaches to various constructions in the framework of the mu-calculus. While our main focus is introducing the new GTS, we also consider some applications to demonstrate its uses. For example, we consider a natural model transformation procedure that reduces model checking games to checking a single, fixed formula in the constructed models. We also use the GTS to identify new alternative variants of the mu-calculus, including close variants of the logic with PTime model checking; variants with iteration limited to finite ordinals; and other systems where the semantic or syntactic specification of the mu-calculus has been modified in a natural way suggested by the GTS.
Creative Framework Methodologies

A principle that enables creative practice is the action of designing, which goes beyond planning, since the artifacts and processes that support projects usually help to make it concrete and tangible. This framework was written and validated by peers and published in its first version. According to recommendations, the framework was improved theoretically and turned into a gamified interaction, in which people can explore the various tracks with examples and answer reflective questions about their practice. This chapter describes the application, improvement, and refining of the creative methodologies framework with the intention of supporting reflection and transforming teaching practice, making teachers more creative and improve teacher authorship. This chapter presents a second iteration of the artifact, in which it was deepened in terms of theoretical reflection and used in a teacher training course in which teachers should explore the artifact and propose a pedagogical action plan with the support of this framework.
Configuration of Business Process Workflow in Software as a Service: Validation of Constraint Dependency relationships

Software as a Service (SaaS) is a new trend in software industry, where users configure a software based on their requirements. SaaS consists of automated business processes that provide full solution for users. Configuration of business process is not trivial task as there are many complicated constraint dependency relationships between these business processes. Therefore, providing validation is a must. Users&#x0027; SaaS configuration should be controlled by their budget. However, this controlling is not an easy task. Hence, validating controlled configuration is a must as well as. In this paper, First Order Logic (FOL) rules have been proposed for validating dependency relationships and cost of business processes.