Reviewerly/exHarmony huggingface dataset:
Colorization of High-Frame-Rate Monochrome Videos Using Synchronized Low-Frame-Rate Color Data

The frame rate of a color camera is usually limited by its maximum data bandwidth. To obtain high-frame-rate color videos, we propose to colorize high-frame-rate monochrome videos using data from a system composed of one high-frame-rate monochrome camera and two low-frame-rate color cameras. The cameras are synchronized by external triggering signals. With stereo matching and motion estimation algorithms, colorization of high-frame-rate monochrome videos can be realized. The system is very cost-effective, and the processing steps can be fully automated as demonstrated in the paper.
Quantum walk inspired algorithm for graph similarity and isomorphism

Large scale complex systems, such as social networks, electrical power grid, database structure, consumption pattern or brain connectivity, are often modeled using network graphs. Valuable insight can be gained by measuring the similarity between network graphs in order to make quantitative comparisons. Since these networks can be very large, scalability and efficiency of the algorithm are key concerns. More importantly, for graphs with unknown labeling, this graph similarity problem requires exponential time to solve using existing algorithms. In this paper, we propose a quantum walk inspired algorithm, which provides a solution to the graph similarity problem without prior knowledge on graph labeling. This algorithm is capable of distinguishing between minor structural differences, such as between strongly regular graphs with the same parameters. The algorithm has polynomial complexity, scaling with $O(n^9)$.
Using an Art Museum Field Trip to Spark Classroom Discussions about Mobile App Design

Classes on mobile computing are popular in schools all over the country, however, the author is not aware of any that include sessions on mobile app design. How do you help students understand what constitutes a good design? Faculty have used wireframes and affinity diagrams to teach design in the classroom, included user experience and design in final course projects, and incorporated problem-based learning, opportunities for service and video-making to develop further HCI skills. One option the author has tried in the past to teach mobile app design is to ask students to choose a few mobile apps that they consider the best and a few that they consider the worst in terms of aesthetics and usability and then lead a discussion on the different factors that make the app aesthetically pleasing and usable. A new approach the author attempted this year was to hold the class meeting at the art museum instead. Looking at the different art pieces, the class engaged in a discussion of the factors that allowed the artists to capture the attention of the audience and convey their message. This activity also introduces a cross-disciplinary approach into a computer science class.
Accessible American Sign Language Recognition with the Leap Motion Controller

Communities that use visual languages like American Sign Language (ASL) to communicate are underrepresented in the domain of translation and language learning tools. Translating between a visual, gestural language like ASL and a spoken, written language like English presents multiple unique challenges. The visual elements of hand shape, location, orientation, and motion used in ASL can be challenging to detect, interpret, and represent. We present an algorithm to recognize the 24 static signs in the ASL fingerspelling alphabet using the Leap Motion Controller. This algorithm can be used in ASL teaching applications, as well as to translate finger-spelled words. Existing Sign Language Recognition systems use cameras to extract low resolution images of hands where positions of individual fingers are difficult to detect. Our program utilizes the Leap Motion device, a motion sensor that provides skeletal hand tracking functionality. Based on joint coordinate and orientation information provided by the device, we extract a number of features including finger configuration (extended, bent, or curled), distance between fingers, and palm orientation. We then use a decision tree to classify signs as individual letters. This method does not require large amounts of training data like other machine learning based approaches. Preliminary results indicate that our method is successful in recognizing most of the static signs in the ASL fingerspelling alphabet.
Continuous symmetries and approximate quantum error correction

Quantum error correction and symmetry arise in many areas of physics, including many-body systems, metrology in the presence of noise, fault-tolerant computation, and holographic quantum gravity. Here, we study the compatibility of these two important principles. If a logical quantum system is encoded into n physical subsystems, we say that the code is covariant with respect to a symmetry group G if a G transformation on the logical system can be realized by performing transformations on the individual subsystems. For a G-covariant code with G a continuous group, we derive a lower bound on the error-correction infidelity following erasure of a subsystem. This bound approaches zero when the number of subsystems n or the dimension d of each subsystem is large. We exhibit codes achieving approximately the same scaling of infidelity with n or d as the lower bound. Leveraging tools from representation theory, we prove an approximate version of the Eastin-Knill theorem for quantum computation: If a code admits a universal set of transversal gates and corrects erasure with fixed accuracy, then, for each logical qubit, we need a number of physical qubits per subsystem that is inversely proportional to the error parameter. We construct codes covariant with respect to the full logical unitary group, achieving good accuracy for large d (using random codes) or n (using codes based on W states). We systematically construct codes covariant with respect to general groups, obtaining natural generalizations of qubit codes to, for instance, oscillators and rotors. In the context of the AdS/CFT correspondence, our approach provides insight into how time evolution in the bulk corresponds to time evolution on the boundary without violating the Eastin-Knill theorem, and our five-rotor code can be stacked to form a covariant holographic code.
Hierarchical Document Clustering via Optimal Centroid Selection using Adaptive Pillar K-means – Gaussian Firefly Algorithm

In recent days, data growth is enormous and tough to handle it, in an oragnised manner and in apt time.In data mining, wide range of researches are available for managing data effectively.Document clustering is a spirited zone in data mining and here our main objective is to assemble the related documents.In this paper, we generate an algorithm for clustering by means of Adaptive Pillar K-Means and Gaussian Firefly Algorithm.For determining the proper centroid in order to attain the proper clustered documents, Adaptive Pillar K-means algorithm is utilized.Subsequently, Gaussian firefly algorithm is exploited for the optimization process and also for enhancing the precision that results in reducing the sum of squared errors and computational time.Here, the performance of the proposed methodology is compared with various algorithms such as Genetic Algorithm, Ant colony optimization and gravity clustering.The attained results show the performance of the proposed methodology and the simulation results illustrated the betterment in quality with low sum of squared errors.
Ignoring the Inconvenient When Tracing Rays

Ray tracing’s greatest strength—that it can simulate all types of light transport—can also be its greatest weakness: when there are a few paths that unexpectedly carry much more light than others, the produced images contain a smattering of pixels that have bright spiky noise. Not only can it require a prohibitive number of additional rays to average out those spikes, but those pixels present a challenge for denoising algorithms. This chapter presents two techniques to address this problem, preventing it from occurring in the first place.
ВИКОРИСТАННЯ ВЕБ-КВЕСТІВ У НАВЧАННІ НІМЕЦЬКОЇ МОВИ В ЗАКЛАДАХ ВИЩОЇ ОСВІТИ

The article highlights and describes the use of the webquests for Web 2.0 services in foreign language learning. The main stages of the work on the webquests are analyzed: the introduction of the topic, the setting of the task, the presentation of auxiliary materials, the assignment, the presentation, discussion and evaluation of the presentations. The main qualities of the service are identified: accessibility, ease of use, the possibility of communication and cooperation, including distance learning, the use of collective "mind", the possibility of creating and preserving information, visualizing the educational content, creating conditions for self-education and self-development of students. The research is based on the concepts, approaches, principles and methods of the neurodidactics. The article points out that the rational use of the webquests, as well as other Web 2.0 resources, in foreign language classes fully corresponds to the modern principles of the neurodidactics in the course of the effectiveness of the educational process, in particular: the use of the webquests contributes to increasing the motivation and intensification of learning a foreign language; gives attention to the employment of innovative characteristics, communicative activity, as well as creativity, cognitive and playful character; effectively supports the work of the teacher, promotes effective independent and group work; corresponds to the principles of "multi-channel" training; helps to eliminate language and psychological "barriers"; most often accompanied by positive emotions and indicators of academic success, which are prerequisites for motivation and effective communication in the classroom of a foreign language. The use of the webquests also corresponds to the principle of Learning by Doing, according to which our brain functions in such a way that we most effectively perceive and remember the information material that we process or develop.
Digital Signal Processing for Analytics in Biostatistics &amp; Biometric Applications

All the biostatistics and biometric applications suffer from the effects of added noise due to their data dependency. The quality of data and impurities due to noise could affect the decisions made based on these datasets. Detecting anomalies caused by noisy datasets requires special preprocessing techniques that do not hurt the integrity of data. The authors have developed computationally low power, low bandwidth, and low-cost filters (DMAW) that will remove the noise, compress the dataset, and decompose the dataset so that a decision can be made by looking at different layers of data.
The Unification of Gravity and Quantum Physics Due to the Isospin of Dirac Particles

It is shown that gravity and quantum physics can be unified upon the basis of a quark description in terms of a gravitational Dirac particle. It requires the awareness of a second elementary dipole moment (isospin) next to the angular moment (spin) of Dirac particles and the awareness of an (unbroken) omnipresent energetic cosmological background field. The unification has been made explicit by an expression that relates the two major gravitational constants of nature (the gravitational constant and Milgrom&amp;rsquo;s acceleration constant) with the two major nuclear constants of nature (the weak interaction boson and the Higgs boson).
On completely regular and completely transitive codes derived from Hamming codes

Given a parity-check matrix $H_m$ of a $q$-ary Hamming code, we consider a partition of the columns into two subsets. Then, we consider the two codes that have these submatrices as parity-check matrices. We say that anyone of these two codes is the supplementary code of the other one. We obtain that if one of these codes is a Hamming code, then the supplementary code is completely regular and completely transitive. If one of the codes is completely regular with covering radius $2$, then the supplementary code is also completely regular with covering radius at most $2$. Moreover, in this case, either both codes are completely transitive, or both are not. With this technique, we obtain infinite families of completely regular and completely transitive codes which are quasi-perfect uniformly packed.
Highly Efficient Sparse Neural Network Computing

In this study, we propose a software-hardware combined solution for efficient sparse neural network computing. Much of the connections between each layers are pruned in sparse neural network. Usually the weights are in compressed format, but the corresponding feature map data need to be pared before passing to computation engine. Since the compressed weights require indirect memory access, there needs a large amount of multiplexers to locate the data position. Motivated by this, we propose a new architecture with a much smaller data selection multiplexer design. In our hardware architecture, the data are selected in a smaller range so that the scale of multiplexer can be reduced. This is paired with our software network pruning method. Compared with the structured or pattern-based pruning method, our algorithm does not impose such restriction and just ensure that there are same numbers of non-zero elements in each z-channel array of the weights. The non-zero elements can be distributed at any position in the array. We also use dual channel for better efficiency on data scheduling. Our experimental results show that our architecture can reach 3x overall speedup for 25% sparsity networks when compared with non-sparse engines with the same amount of computing resources. In the future, we plan to further improve our pruning algorithm, and tape out our hardware design.
Demo

We present LpGL, a Low-power Graphics Library designed to extend the usage time of mobile AR headsets. LpGL offers a transpatent layer to the application to intercept graphicsrelated calls to reduce unneeded graphics processing overhead without any quality loss for saving mobile device power. Our system reduces power consumption up to ∼22%, with only 46?sec of latency induced per visible object.
Analisis Pengaruh Dimensi Fraud Diamond Terhadap Academic Fraud (Studi Empiris Pada Mahasiswa Akuntansi Universitas Swasta Di Surakarta)

This study aims to analyze the influence of fraud Diamond on AcademicFraud. Based on Fraud Diamond's theory there are four variables which influenceAcademic Fraud, which are pressure, opportunity, rationalization, and capability.This type of research is quantitative. The population in this study were 94Accounting students in the Private University in Surakarta. The method of collecting samples in this study used a questionnaire. Thesampling technique used in this study is the Convenience Sampling Method. Theanalysis technique used is multiple linear regression analysis. With the SPSSversion 2.0 tool. The results of this study indicate that pressure, rasionalization andcapability have no effect on Academic Fraud, while opportunity affects AcademicFraud.Keywords: Academic Fraud, Fraud Diamond
Aplikasi Pembelajaran Manasik Haji dan Umroh berbasis Multimedia dengan Metode User Centered Design (UCD)

Multimedia development as one field of application in audio-visual technology seemed never to be separated from human needs of customers who desire a new innovation in every design and user friendly of an application. Build a complex software system design models require systematic for analysis and design. By using the language of the Unified Modeling Language (UML) a job can be easily designed, because UML is a visual modeling notation and semantics and object-oriented analysis and design. The requirement applications that can help candidate of Hajj and Umroh to learn the background of the application design learning the rituals of Hajj and Umrah this multimedia based. The design of the rituals of Hajj and Umroh application-based multimedia is created using Adobe Flash Professional software and Adobe Audition CS 6 CS 6 as the supporting software. This application can be integrated with android software which uses methods of UCD (User Centered Design) from the research that has been done.
Efficient Encodings to Hyperelliptic Curves over Finite Fields

Many cryptosystems are based on the difficulty of the discrete logarithm problem in finite groups. In this case elliptic and hyperelliptic cryptosystems are more noticed because they provide good security with smaller size keys. Since these systems were used for cryptography, it has been an important issue to transform a random value in finite field into a random point on an elliptic or hyperelliptic curve in a deterministic and efficient method. In this paper we propose a deterministic encoding to hyperelliptic curves over finite field. For cryptographic desires it is important to have an injective encoding. In finite fields with characteristic three we obtain an injective encoding for genus two hyperelliptic curves.
Faster-ADNet for Visual Tracking

By taking advantages of deep learning and reinforcement learning, ADNet (Action Decision Network) outperforms other approaches. However, its speed and performance are still limited by factors such as unreliable confidence score estimation and redundant historical actions. To address the above limitations, a faster and more accurate approach named Faster-ADNet is proposed in this paper. By optimizing the tracking process via a status re-identification network, the proposed approach is more efficient and 6 times faster than ADNet. At the same time, the accuracy and stability are enhanced by historical actions removal. Experiments demonstrate the advantages of Faster-ADNet.
System analysis for evaluating the effectiveness of tools for information security

The paper focuses on important elements of system analysis such as principles, indicators and criteria of system efficiency. The aim of this work is to show the possibility of applying system analysis and system approach in the field of information security. In this field the 3rd principle of the theory of systems and systems analysis (the maximum efficiency of the system) and the 15th principle of the systems approach, associated with optimal efficiency, are specially highlighted. The main focus is on the effectiveness of the system, which can be assessed using special indicators. We have used the necessary principles and methods of system analysis, as well as special software for applying the elements of system analysis for the performance indicators. In this case special software is considered as a tool for solving problems of system analysis in the field of information security. We introduced an indicator and criterium of system efficiency associated with the difference in reduced costs. The result of the optimization of the information security effectiveness indicator is demonstrated on a special example. The researchers use the system analysis elements. Researchers solve optimization problems. Recommendations were developed for solving typical educational problems. It is concluded that it is necessary to pay more attention in the framework of the educational process to the elements of system analysis.
A Study on Technology Entrepreneurship Policy Focused on Innovative Growth

Purpose - Research on the ability of domestic public institutions to conduct business is being conducted. Research on government support policy for public technology projects, emphasizes technology creation. Public agencies are encouraging evolutionary barriers at the stage of realistic business. This paper presents the policy possibilities by presenting policies and strategies based on corporate public policy. Research design, data, and methodology – In this study, we surveyed the actual state of public technology commercialization based on the data on state of technology commercialization of public institutions. We collected and analyzed the literature data to enhance the competitiveness of technology commercialization by identifying success cases of public technology commercialization. In Korea, there are not many research papers that provide policy alternatives for technical commercialization of public research institutes. Therefore, in this paper, we review various government policies and check the status of technology commercialization to increase its value. Results – As a result of this study, it is suggested that various policy development is necessary for the commercialization of public technology, because it is important to increase the value of technology users, suppliers, investors and customers through various network activation. In particular, it is necessary to establish differentiated Korean public technology commercialization model for the proliferation of public technology commercialization by presenting methodical model of technical commercialization. Conclusions - Through this study, it is important to raise the competitiveness of domestic public technology commercialization, to create economic value, and to improve the performance of technology commercialization. Therefore, it is necessary to contribute to the creation of research achievement, research method of excellent technology, and method of commercializing technology, and to create achievement of technical commercialization in the future. In addition, from the viewpoint of commercialization of technology, strategies for creating value through utilization of public technology should be prepared, and a plan for mutual prosperity among domestic companies should be prepared. Policy alternatives of various public technology commercialization to build national competitiveness have been developed, and various examples of performance for the performance of public technology commercialization should be derived.
Automation from Scratch

The acquisition of a major collection prompted the residents of St. Michael’s Abbey to hire a librarian who would catalog the hitherto unorganized 50,000 volumes of the abbey’s library. This poster shares how that lone librarian is approaching the challenge of introducing library automation into an institution that has never had a formal system for bibliographic control. The processes of choosing and deploying an ILS, developing a one-person cataloging workflow, and reforming circulation are laid out in the hopes that this experience will be instructive to others who are tasked with organizing collections from square one.
The wrapped xgamma distribution for modeling circular data appearing in geological context

The technique of wrapping of a univariate probability distribution is very effective in getting a circular form of the underlying density. In this article, we introduce the circular (wrapped) version of xgamma distribution and study its different distributional properties. To estimate the unknown parameter, maximum likelihood method is proposed. A Monte-Carlo simulation study is performed to understand the behaviour of the estimates for varying sample size. To illustrate the application of the proposed distribution, a real data set on the long axis orientation of feldspar laths in basalt rock is analyzed and compared with other circular distributions.