Reviewerly/exHarmony huggingface dataset:
Rapid Data Evacuation Based on Zone Risks for Large-Scale Disasters in Software-Defined Optical Networks

Slos (Service level objectives) defines specific quantization parameters for network service performance such as bandwidth of network, response time, delay, safety requirements, etc. The sum of all the factors that cause a violation of the Slos in a certain zone is called the Zone Risks of the data center network. This paper quantifies the Zone Risks of the data center network, under the SDN network architecture, the RBF Neural Network is used to predict the Zone Risks of the network. According to the level of Zone Risks, the data is placed in data center nodes with the lowest Zone Risks in advance. By this way, the strategy proposed by this paper significantly reduce the total amount of data need to be evacuated and improve the quality and efficiency of data evacuation when the Large-Scale disaster arrives. In order to verify the effectiveness of the proposed strategy, we use Mininet and OpenDaylight as SDN emulation and the controller respectively. The results show that the proposed strategy can dynamically adjust the physical distribution of data before the disaster arrives, reaching the goal of rapid data evacuation.
Interaction Modeling based on Human Behavior Classification

The variety of human behaviors makes user-product interaction difficult to manage and foresee, especially concerning users running into problems.This research considers several interaction problems and identifies recurring behaviors.Then, it highlights the users, products and environments' aspects corresponding to each of these behaviors.This makes possible foreseeing the behavior of specific users who run into problems while interacting with specific products in specific environments.The results are used to upgrade an existing user-product interaction modeling approach in order to make it able to suggest better-focused product improvements to designers as well as alternative problem solving to different users.
Method of Fault Diagnosis based on Granular Reasoning and Directional Graphic of Fault Propagation

Abstract The directional graphic of fault propagation is established based on the clock circuit of the broadcasting station and granular reasoning method and directional graphic of fault propagation are unified. The sample sets of the fault are obtained according to the circuit simulation and analysis, after that the sample sets of the fault decision is transformed into decision table which reflects the relation of faults and symptoms, then the decision table is transformed into the corresponding granular based, consequently fault source that most likely occurrence to fault is found by searching granular based and computing the most similarity.
REPERCUSSIONS OF MENTAL DISORDERS IN THE FAMILY CONTEXT

Introduction: With the change in the care environment, the family came to be seen as an ally in treating the person with mental disorders, beginning to experience the home, as a new environment full of emotions, responsibilities and changes.Thus, it is important to know by health professionals of the repercussions that mental disorders cause in the family, so that it enables planning focused on holistic action, centered on the resolution of problems that lead to the illness of the family environment.Objective: to identify the repercussions of mental disorders in the family context.Methodology: Literature review in the databases SCOPUS, CINAHL, LILACS, CUIDEN and SCIELO.The selected articles were classified as to the level of evidence and data analysis was constructed in Microsoft Excel containing the main information of the articles.Results:1,400 articles were found, of which 234 articles were selected to read the abstracts, 41included the theme.Then, 27 articles were selected to answer the guiding question.However, after the application of methodological criteria, an article was excluded, totaling a final sample of 26 articles.Conclusion: the experience of having a family member with mental disorders was seen, as a difficult and overloading experience, but this coexistence has made it possible to search for the breakdown of paradigm of mental illness, the approximation of the family with treatment and health services, in addition to contributing to the reintegration of it into society.
Learning to mirror speaking styles incrementally

Mirroring is the behavior in which one person subconsciously imitates the gesture, speech pattern, or attitude of another. In conversations, mirroring often signals the speakers enjoyment and engagement in their communication. In chatbots, methods have been proposed to add personas to the chatbots and to train them to speak or to shift their dialogue style to that of the personas. However, they often require a large dataset consisting of dialogues of the target personalities to train. In this work, we explore a method that can learn to mirror the speaking styles of a person incrementally. Our method extracts ngrams that capture a persons speaking styles and uses the ngrams to create patterns for transforming sentences to the persons speaking styles. Our experiments show that our method is able to capture patterns of speaking style that can be used to transform regular sentences into sentences with the target style.
Integration of diffractive optical neural networks with electronic neural networks (Conference Presentation)

We demonstrate significant improvements in the inference accuracy of diffractive optical neural networks and report that a five-layer, phase-only (or amplitude/phase) modulation diffractive network can achieve 97.18% (97.81%) and 89.13% (89.32%) blind-testing accuracy for MNIST and Fashion-MNIST datasets, respectively. Moreover, the integration of diffractive neural networks with electronic deep neural networks is investigated. Using a single fully-connected layer on the electronic part and a five-layer, phase-only diffractive neural network at the optical front-end, we achieved blind-testing accuracies of 98.71% and 90.04% for MNIST and Fashion-MNIST datasets, respectively, despite a >7.8-fold reduction in the number of pixels at the opto-electronic sensor-array.
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems

In this paper, we present an omnidirectional localization and dense mapping system for a wide-baseline multiview stereo setup with ultra-wide field-of-view (FOV) fisheye cameras, which has a 360 degrees coverage of stereo observations of the environment. For more practical and accurate reconstruction, we first introduce improved and light-weighted deep neural networks for the omnidirectional depth estimation, which are faster and more accurate than the existing networks. Second, we integrate our omnidirectional depth estimates into the visual odometry (VO) and add a loop closing module for global consistency. Using the estimated depth map, we reproject keypoints onto each other view, which leads to a better and more efficient feature matching process. Finally, we fuse the omnidirectional depth maps and the estimated rig poses into the truncated signed distance function (TSDF) volume to acquire a 3D map. We evaluate our method on synthetic datasets with ground-truth and real-world sequences of challenging environments, and the extensive experiments show that the proposed system generates excellent reconstruction results in both synthetic and real-world environments.
Objective Reality: Philosophical Justification (Descartes-Nesmelov-Vl. Solovyov)

The relevance of the study is due to the fact that the truth of knowledge about the existence of the external world, which all scientific knowledge is based on, has not received final philosophical and theoretical justification in Russian philosophy, and the works of some domestic philosophers, for example, V.I. Nesmelov, who specifically studied this problem, are practically unknown to the modern philosophical public. The purpose of the article is to reflectively critically examine the epistemological significance of Descartes’s principle of “cogito”, presented in the works of V. I. Nesmelov and Vl. Soloviev in order to justify the truth of knowledge about the existence of the objective world. The leading approach to the study of this problem is based on a theoretical reconstruction and interpretation of texts, which allows not only to reveal the semantic content of the philosophical reflections of these philosophers on the problem of substantiating the existence of the external world and the identity of thinking and being, but to critically reflectively evaluate and compare their approaches and the obtained results. The main results obtained in this article: it is shown how, recognizing the full legitimacy of the skeptical position about the inaccuracy of our knowledge about the existence of objective reality, Descartes tried to overcome skepticism in this matter; it is explained why Descartes, having discovered the incontrovertible truth “cogito”, “threw it as completely unnecessary to him” (V.I. Nesmelov) to justify the existence of the objective world and set about looking for other criteria for substantiating reliable knowledge about this world; the inconsistency of the idea of God proposed by Descartes as a criterion for such a justification is analyzed; the analysis of V. I. Nesmelov's attempt to use the incontrovertible truth "cogito" left by Descartes to justify the reliability of our knowledge of the existence of the objective world is given; it is considered why Vl. Solovyov’s reflections, who considered the principle of Cogito ergo sum to be not fully clarified by Descartes, himself requires further clarification of V.I. Nesmelov’s solution of the question of the criteria for the reliability of our knowledge of the existence of objective reality.
LibGuides: COMM 203 - Interpersonal Communication - Cieri: Research

This guide has been created to help you with research for Professor Cieri's COMM 203 class.
Efficient Sensitive Data Gathering with Forensic Analysis of Android Operating System

In modern world, mobile device for its user is one of the most important objects he uses daily. Such a device then contains a lot of information him and his behavior. For example, contact information, call lists, text and other communications (text messages, email, social networks), location information, or own multimedia content. In the event of their acquisition, such information may be used in criminal investigations, corporate events or, in special cases, in detecting successful attacks. We analyze what types of data are stored on mobile devices and how they can be obtained. This work focuses on Android architecture, mainly on its memory structure and data handling. It also describes its own data acquisition techniques using forensic analysis of given system and proposes an approach, which can be used to implement application that will access system resources and get useful data. These data are then interpreted appropriately and obtained results are developed in form of a forensic review, also applicable for teaching purposes.
Facebook as a Tool for Learning L2 German

In this paper the results of an online survey regarding the usefulness of Facebook for L2 learning will be presented. The survey was carried out with 118 L2 German learners in Japan. The results suggest that for most participants, Facebook is a suitable tool for improving their L2 skills because it enables them to establish or to maintain social contacts with native speakers and to have authentic opportunities to express themselves in the L2. The participants mentioned three particularly effective activities afforded by the social network: (a) reading L2 posts on the newsfeed, (b) writing one’s own posts and commenting on friends’ posts, as well as (c) using the Messenger app for writing private messages in the L2. Most of the survey’s participants noted an improvement of their reading and writing skills as well as an increase of their vocabulary and cultural understanding. 本稿は、第二外国語習得に対するFacebookの有用性に関するオンライン調査の結果を考察するものである。この調査は、第二外国語としてドイツ語を学ぶ118名の日本人に対して実施された。調査結果から、参加者の大多数にとって、Facebookは学習言語を上達させることに適したツールであるということがわかる。これは、Facebookによって学習者が母語話者と社会的な関係を構築または維持し、学習言語で考えを述べる本当の機会を持つことが可能になるからである。参加者が挙げた、とりわけ効果的であった活動は、学習言語での投稿を読むこと、自分自身で書くこと、友人の投稿にコメントをすること、学習言語でプライベートメッセージを書くためにMessengerを使用することであった。調査参加者においては、読解と作文の技能、語彙、文化的理解の向上が注目に値する。
National Project “Culture” in the Focus of the 7th All-Russian Forum of Public Libraries

The article describes the work of the 7th All-Russian Forum of Public Libraries “Municipal Libraries of New Generation: The Regional View”, which was held on November 15—16, 2019 in St. Petersburg. It became the main library platform of the 8th St. Petersburg International Cultural Forum. The organizers of the Forum were the National Library of Russia (NLR) and the Russian State Library (RSL) with the participation of the Russian Library Association (RLA). The Committee for Culture of St. Petersburg and the Mayakovsky Central City Public Library, Leningrad Regional Universal Scientific Library and St. Petersburg Library Society made significant contribution to the organization of the Forum. The Forum of public libraries considered the first results of implementation of the National project “Culture” in the field of creating the model libraries of the new generation. The author reveals the content of the main events of the Forum — the plenary session and round tables devoted to the specific features of working with readers and book collections: “Municipal libraries of new generation: exchange of experience and ideas”, “The Year of Daniil Granin in public libraries in Russia”, “Public library in civil society”. The article reflects the main ideas of presentations by specialists of various levels — from federal to municipal. The author shows the place of model libraries in the system of public municipal libraries, summarizes the first results of competitions among the municipal libraries of the country, as well as describes the characteristics of unresolved issues and identifies the main problems and directions of modernization of libraries. The article raises the question on the place of model libraries in the network of municipal libraries in the country. The article presents the final document of the Forum with appeal to the Ministry of Culture of the Russian Federation, to the RSL, the NLR and the RLA, as well as to the state authorities of the subjects of the Russian Federation, local authorities, central libraries of the subjects of the Russian Federation, municipal libraries together with project offices of the subjects of the Russian Federation and model libraries of new generation.
Boundary Non-crossing Probabilities of Gaussian Processes: Sharp Bounds and Asymptotics

We study boundary non-crossing probabilities $$\begin{aligned} P_{f,u} := \mathrm {P}\big (\forall t\in {\mathbb {T}}\ X_t + f(t)\le u(t)\big ) \end{aligned}$$ for a continuous centered Gaussian process X indexed by some arbitrary compact separable metric space $${\mathbb {T}}$$ . We obtain both upper and lower bounds for $$P_{f,u}$$ . The bounds are matching in the sense that they lead to precise logarithmic asymptotics for the large-drift case $$P_{{y}f,u}$$ , $${y}\rightarrow +\infty $$ , which are two-term approximations (up to $$o({y})$$ ). The asymptotics are formulated in terms of the solution $${\tilde{f}}$$ to the constrained optimization problem $$\begin{aligned} \left\Vert h\right\Vert _{{\mathbb {H}}_X}\rightarrow \min , \quad h\in {\mathbb {H}}_X, h\ge f \end{aligned}$$ in the reproducing kernel Hilbert space $${\mathbb {H}}_X$$ of X. Several applications of the results are further presented.
A survey on test practitioners' awareness of test smells

Developing test code may be a time-consuming task that usually requires much effort and cost, especially when it is done manually. Besides, during this process, developers and testers are likely to adopt bad design choices, which may lead to the introduction of the so-called test smells in test code. Test smells are bad solutions to either implement or design test code. As the test code with test smells increases in size, these tests might become more complex, and as a consequence, much harder to understand and evolve correctly. Therefore, test smells may have a negative impact on the quality and maintenance of test code and may also harm the whole software testing activities. In this context, this study aims to understand whether test professionals non-intentionally insert test smells. We carried out an expert survey to analyze the usage frequency of a set of test smells. Sixty professionals from different companies participated in the survey. We selected 14 widely studied smells from the literature, which are also implemented in existing test smell detection tools. The yielded results indicate that experienced professionals introduce test smells during their daily programming tasks, even when they are using standardized practices from their companies, and not only for their personal assumptions. Another relevant evidence was that developers' professional experience can not be considered as a root-cause for the insertion of test smells in test code.
A FRAMEWORK FOR DETECTING SPAM REVIEWS IN ONLINE SOCIALMEDIA

Today’s, a major part of everyone trusts on content in social media like opinions and feedbacks of a topic or a product. The liability that anyone can take off a survey give a brilliant chance to spammers to compose spam surveys about products and services for various interests. Recognizing these spammers and the spam content is a wildly debated issue of research and in spite of the fact that an impressive number of studies have been done as of late toward this end, yet so far the procedures set forth still scarcely distinguish spam reviews, and none of them demonstrate the significance of each extracted feature type. In this investigation, we propose a novel structure, named Net Spam, which uses spam highlights for demonstrating review datasets as heterogeneous information networks to design spam detection method into a classification issue in such networks. Utilizing the significance of spam features help us to acquire better outcomes regarding different metrics on review datasets. The outcomes demonstrate that Net Spam results the existing methods and among four categories of features; including review-behavioral, user-behavioral, review linguistic, user-linguistic, the first type of features performs better than the other categories. The contribution work is when user search query it will display all top-k products as well as recommendation of the product.
A Firefly Optimized Multi Adaptive Parallel Neuro Fuzzy Inference System

In this research the firefly optimized multi adaptive parallel neuro-fuzzy inference (FOMAPNFI) system introduce for improving the performance of the system.This method is inspired from fireflies which produce short flashes as a protective system and to attract mates or prey.The rate and rhythm of the flashes, as well as the time interval between them attract two sexes toward each other.The intensity of light is decreased following an increase in distance from light source.The transmitted light is used as the formulated objective function.Three important properties of FA algorithm are: 1) Firefly is brighter and more attractive when it moves accidentally and all fireflies are unisexual; 2) Attractiveness of firefly is proportional to the brightness and distance from it, and decrease in light intensity is calculated by light absorption coefficient.Brightness of firefly is determined by the objective function value.3) The distance between each firefly is obtained through objective function.Then consider the Multi adaptive parallel neurofuzzy inference system along with additional optimized parameters by using firefly algorithm.This research is used for removing the impulse noise efficiently rather than other methods.Each member of a group of fireflies moved toward a point where their best experience had occurred.By using this approach the best and multiple membership parameters are selected.Hence it is used for which improving the performance of denoising superior.
THE EFFECT OF APPLYING PROCESS AND PRODUCT APPROACHES ON THE STUDENTS’ COMPETENCY IN WRITING DESCRIPTIVE TEXT

This research was carried due to the fact the students’ skill in expressing the ideas in writing was still the major challenge. Writing had a less attention than other skills where it tends to be as a homework and the teacher did not put too much focus on it since it would not be tested in national exam. The objective of this research was to investigate the effect of applying process and product approaches on the students’ competency in writing descriptive text. This research was conducted at MTs.Islamiyah Medan, JalanSuluh No. 71 D Kec. Medan Tembung. The population of this research was the eighth grade students of the academic year 2017/2018. The sample consisted of 62 students taken by using cluster random sampling technique. The experimental group was consisting of 30 students taught by applying process approach and the control group consisted of 32 students by using lecturing method. Written test was used as the instrument. Each group was given a pre-test, treatment and post-test. The result of this research showed that t-test (17.36) was higher than t-table (2.00) and degree of freedom (df) was 60. The finalhypothesis showed that Ho was rejected and Ha was accepted. It means that there was a significant effect of applying process and product approaches on the students’ competency in writing descriptive text.
Electro- and all-optical photonic neural networks: towards real-time processors (Conference Presentation)

While the data throughput of electronic processors is rather high (TFLOP range), the question arises whether optical neural networks (NN) enable a value proposition for zero-delay (real-time) processing? The answer might be ‘yes’, since once the network is trained, the time to perform an inference tasks is simply given by the time-of-flight of the photon through the processor’s NN. Here we discuss how the three functions of the perceptron (dot-product synaptic weighting, summation, and nonlinear thresholding) can be mapped onto a) optoelectronic [George et al. Opt.Exp. 2019], and b) all-optical hardware [Miscuglio et al. OMEx 2018]. The latter is realized via co-integration of phase-change-materials atop Silicon photonics. Once trained, the weights only require rare updating, thus saving power. Performance wise, such an integrated all-optical NN is capable of < fJ/MAC using experimental demonstrated pump-probe [Waldecker et al, Nat. Mat. 2015] with a delay per perceptron being ~ps.
Jointly Temporal Pooling Networks and Multi-loss Fusion for Video-based Person Re-Identification

with the increasing demand in surveillance and camera networks, video-based person re-identification is an important task in the field of computer vision. The video contains rich samples of person's appearances, how to effectively use this information is a challenge. We propose a hierarchical network that joint temporal pooling and multi-loss fusion function to obtain the representation of videos. The network can be trained efficiently with end-to-end way. We conducted experiments on the large-scale MARS, iLIDS-VID and PRID-2011 datasets to confirm the effectiveness of our proposed method.
An Introduction to Multivariate Expansion

We introduce the notion of an expansion in a specified and mixed directions. This is a piece of an extension program of \textbf{single~variable~expansivity~theory} developed by the author.