Reviewerly/exHarmony huggingface dataset:
Sensitivity validation of a fuzzy system for asset allocation

This paper shows how a fuzzy model for asset allocation can be validated. For this purpose, special instruments are developed that allow such testing for models developed for advisory and diagnostic tasks. The procedures and instruments are presented using the example of a fuzzy logic-based model, which is hierarchically structured and which aggregates in a rule-based manner. It was developed as a pilot model of a “Robo-advisor” with the professional support of a major bank which is globally active in asset management. The validation examples presented show that the instruments can be used to comprehensively identify the extent to which the diagnoses and recommendations of a fuzzy model correspond to those of the expert whose decision-making behavior was depicted in the model. In addition, it can also be determined whether the proposals of the model change in the same way as the expert changes his proposals when the parameters of an investment project change. The validation results prove that fuzzy concepts enable the development of a decision support model that can complement the investment advice of financial institutions in a valuable way.
Remote vibrometry recognition of nonlinear eigen-states for object coverage of randomly large size

For objects of "large" vibration size such as waves on the sea surface, the choice of measurement method can create different understandings of system behavior. In one case, laser vibrometry measurements of a vibrating bar in a controlled laboratory setting, variation in probe spot size can omit or uncover crucial structural vibration mode coupling data. In another case, a finite element simulation of laser vibrometry measures a nonlinearly clattering armor plate system of a ground vehicle. The simulation shows that sensing the system dynamics simultaneously over the entire structure reveals more vibration data than point measurements using a small diameter laser beam spot, regardless of the variation of footprint (coverage) boundaries. Furthermore, a simulation method described herein allows calculation of transition probabilities between modes (change-of-state). Wideband results of both cases demonstrate the 1/$f$ trend explained within -- that the energy of discrete structural vibration modes tends to decrease with increasing mode number (and frequency), and why. These results quantify the use of less expensive non-imaging classification systems for vehicle identification using the remote sensing of surface vibrations \emph{while mitigating spectral response distortion due to coverage variation on the order of the structural wavelength} (spectral reduction or elimination).
Exploring Use Cases for an Artificial Intelligence Poet

I report on the iterative process of designing a mobile AI poetry system, along with a series of broad scale use cases in which different variants of the system has been tested in the wild. The pro ...
Research Guides: Transitioning Courses Online: Instructional and Workshop Tutorials from Evans Library

Use this guide to locate resources that can help you with your courses as FL Tech transitions to online instruction for the Spring 2020 semester.
An Investigation of the Characteristics and Demand in Consumer Standards and Search for Strategy of Effective Consumer Standards Policy

본 연구에서는 소비자를 대상으로 표준에 대한 인식과 태도, 표준에 대한 지식, 표준정보탐색 행동에 대해 조사하였다. 또한 이들 변수가 소비자의 다양한 특성에 따른 차이를 분석하였다. 또한 표준에 대한 인식, 태도, 지식, 정보탐색행동이 일반 소비자와 표준업무 경험자 간에 유의한 차이가 있는가를 검증하였다. 끝으로 소비자를 대상으로 표준 개발이 필요한 분야를 조사하였다. 본 연구의 주요결과를 요약하면 다음과 같다. 첫째, 소비자들의 표준중요성에 대한 인식 및 표준성과에 대한 태도는 대체로 적극적이거나 긍정적이었지만 표준에 대한 지식, 표준정보탐색은 낮은 것으로 나타났다. 둘째, 대체로 남성인 경우, 기혼자, 서울 및 수도권이 아닌 지역에 거주 하는 경우, 표준 관련 업무 담당 경험이 있는 근로자가 표준에 대해 긍정적으로 인식하고 있는 것으로 나타났고, 표준성과에 대한 태도는 표준업무를 담당한 경험이 있는 근로자, 연령이 가장 젊은 20대와 연령이 가장 많은 50대 이상이 긍정적인 것으로 나타났다. 셋째, 전문직 종사자, 표준업무 담당 경험자, 50대 이상 소비자가 표준에 대한 지식이 높은 수준으로 밝혀지고, 표준에 대한 정보탐색은 남성 그리고 표준업무 담당 경험자가 적극적인 것으로 나타났다.In this study, we surveyed consumer perceptions and attitudes toward standards, knowledge of standards, and search behavior of standard information. Also, these variables are analyzed according to various characteristics of consumers. In addition, it was verified whether there is a significant difference between the general consumer and the standard work experience in the recognition, attitude, knowledge, and information search behaviors of the standard. Finally, we investigated the need for standards development for consumers. The main results of this study are summarized as follows. First, consumers perception of standard importance and attitude toward standard performance were generally positive or positive, but knowledge of standards and search of standard information were low. Second, it is found that workers who have experience in standards related affairs positively perceive positively about the standard when they are male, mostly married, and live in areas other than Seoul and Seoul metropolitan area. Workers with experience in charge, the youngest in their 20s and the 50s with the highest age, were found to be positive. Third, the knowledge of the standard is found to be high in the professional worker, the experienced worker in the standard work, and the consumer in the 50s or more.
Lights versus flags

Some sports still rely on the use of flags as a means of relaying information, for example Soccer and Rugby Union, the start of a horse race and as a warning to motor racing drivers. Due to the narrowed focus of attention of competitors and the physical constraints that may be imposed on them, the attention capturing properties of the signal will be paramount to its success. However, the modern day motor racing environment contains many visual cues that compete with the marshal’s flags. When this is combined with the need to provide an increasingly distant position, from which marshals can safely operate, suggests that the flag may have lost some of its attention-demanding value, and can result in signals being missed. The flag subtended 0.38 degrees of visual range and the light 0.11 degrees, making the light a significantly smaller target than the flag, which also moved spatially as well as temporally.
Localisation basée vision à partir de caractéristiques discriminantes issues de données visuelles hétérogènes

In this thesis, we focus on the localization of the agent/user, and propose to study vision-based methods from a previously obtained 3D map of the scene. This 3D map contains a 3D reconstruction of the scene as well as RGB and semantic information. We assume that the 3D map is coded as a set of Spherical Images, a compact representation with RGB, depth and semantic information, well positioned in the environment.
An Intrusion Detection Method for Railway Based on Fast Feature Extraction and Matching of UAV Camera

With the rapid increase of railway mileage, especially in complex geomorphic environments, it is necessary to use unmanned aerial vehicle (UAV) to automated monitor railway environmental security. This paper presents a railway intrusion detection method based on fast feature extraction and matching. Firstly, a low-degree polynomial detector (ALP) feature-based template database indexed by geolocation is established. Secondly, ALP descriptors are extracted in the region of interest (ROI) from the detection system for the sequences of railway images by the onboard camera of the UAV captured. Finally, ALP descriptors are matched between those from the real-time images and those from the feature database in the same geolocation and check whether there is an intrusion according to the matching ratio. The experiment results show that the proposed method can detect the invader effectively due to the obvious decrease of matching ratio and the successful detection ratio can up to 96%.
LibGuides: Free Resources for Home Use: Home

Free resources to keep yourself happy and busy while staying at home during the COVID-19 epidemic.
Collaborative Attention Network for Natural Language Inference

Attention mechanism recently shows promising performance on varies of natural language processing tasks including natural language inference. We propose a collaborative attention mechanism based on the structured self-attention and the decomposable attention, which mutually benefit each other and provide both dependent and independent information of the sentence pairs. The model performs well on natural language inference tasks while having a relatively light-weight structure. Experiments on the SNLI dataset indicate that the approach enhances the accuracy and obtains improvements compared with the pro-posed methods and the individual two models, implying that it learns a better way to represent the textual semantic.
Photonic coherent reservoir computer based on fiber-ring with distributed nonlinearity

We exploit the transient dynamics of a nonlinear photonic system to perform useful computation. This is achieved within the framework of reservoir computing. State of the art implementations in photonic hardware are evolving towards simple architectures. With nonlinearities present in either the reservoirs input or output layer, even a linear photonic cavity makes for a potent reservoir. However, when targeting all-optical reservoir computers (coming from opto-electronic systems), commonly used non-linearities in opto-electronic conversion equipment, such as modulators and photodiodes, can no longer be relied on. Therefore, optical nonlinearities must be considered. In this work, we numerically and experimentally investigate a delay-based reservoir implemented in standard single mode optical fibers. Our setup is coherently driven and exploits the optical Kerr nonlinearity, which is present throughout the reservoir’s extent (i.e. the fiber ring cavity), to operate as a state-of-the-art photonic reservoir. A set of systems was considered, with different combinations of linear and nonlinear input and output schemes. And we have been able to quantify the effects of different nonlinearities in the system on its reservoir computing performance. Experimental data shows the positive effects of the distributed Kerr nonlinearity on both the linear memory capacity and nonlinear computational capacity of our reservoir computing system. We find a broad range of power levels where this distributed nonlinear effect improves the reservoirs performance. Moreover, we find that the exploitation of this optical nonlinearity in the reservoirs bulk allows for state-of-the-art reservoir computing performance without relying on opto-electronic nonlinearities elsewhere in the system.
IT security at home

The University is continually targeted by scams and phishing emails, but the Covid-19 outbreak brings a new set of challenges and risks. It is hugely important that you understand how to protect your devices and information.
LibGuides: Open Journal System: Digital Publishing Tools

This guide aims to familiarize faculty, student, and staff users to the open journal system (OJS) through a series of tutorials, videos, and links to helpful information on the Web.
An Improved Competitive Swarm Optimizer for Large Scale Optimization

In this paper, an improved competitive swarm optimizer (ICSO) for large scale optimization is proposed for the limited global search ability of paired competitive learning evolution strategies. The proposed algorithm no longer uses the competitive winner and the global average position of the current population to update the competitive loser position such a paired competitive learning evolution strategy. Three individuals are randomly selected without returning to compete, the compete failed individual update its speed and position by learning from the other two competing winners, thereby improving the global search ability of the algorithm. Theoretical analysis shows that the randomness of this improved competitive learning evolution strategy has been enhanced. In order to verify the effectiveness of the proposed strategy, 20 test functions from CEC’2010 large-scale optimization test set are selected to test the performance of the algorithm. Compared with the competitive swarm optimization (CSO) and the level-based learning swarm optimization (LLSO) two state-of-the-art algorithms, the experimental results show that ICSO has better performance than CSO and LLSO in solving large-scale optimization problems up to 1000 dimensions.
It is time to put the arm's length principle to the test in the digital era : An examination of the scope and meaning of the arm’s length principle and its application in a cloud computing context motivates to replace or complete it with sales/destination based alternatives

It is time to put the arm's length principle to the test in the digital era : An examination of the scope and meaning of the arm’s length principle and its application in a cloud computing context motivates to replace or complete it with sales/destination based alternatives
Tigrinya Gender Morphology and Agreement

Tigrinya verbal and nominal morphology mark gender agreement according to a mixed system that may include natural gender, attributive gender, and grammatical gender. This paper will describe the distribution of natural and attributive gender features in empirical data, and speculate on the existence of grammatical gender. Morphological and syntactic models will be tested to house the necessary features in Tigrinya, and the existence of three covert noun classes will be proposed to account for the patterns of agreement.
Technological innovation and strategic financial performance: the case of Jordan

This research aimed at investigating the level of technological innovation in industrial and service companies in Jordan and the impact of technological innovation on corporate financial performance of these companies. It also aimed at exploring whether size, age and structural complexity of the firm have moderating effects on the relationship between technological innovation and financial performance of these firms. The study sampled 113 industrial and service companies out of 125 listed companies on Amman Stock Exchange. The researchers utilised a quantitative approach in examining the relationship using Lev's model to measure technological innovation inputs, and financial ratios to measure strategic financial performance. Inferential analysis was conducted afterward. Results of the study showed low levels of technological innovation in the sampled companies, and a statistically insignificant relationship was found between technological innovation and financial performance. Slight positive moderation effects were found for organisational size, age and structural complexity on the relationship between technological innovation and performance, yet the relationship remained insignificant. An attempt was made to interpret the results and come up with some recommendations in light of the findings.
Blockchain-based Data Synchronization for Product Catalogs in Distributed Systems

Efficient collaboration between different project partners plays a vital role in construction projects and the achievement of project objectives. An option for implementing digital collaboration is the distributed system, where the same data and information are replicated on all nodes. A distributed system has advantages regarding data availability and scalability. Its shortcoming lies in synchronization of transactions in all nodes across the distributed network. The synchronization process should meet the following demands: data consistency, robustness against malicious attack, and transparency. Traditional methods for synchronization are not suitable to fulfill all requirements without high technical expenditure. This article presents the concept for a new synchronization process with blockchain technology, which updates the executed transactions and broadcasts them over the distributed network to all nodes automatically. This synchronization process ensures that the data remains consistent in all nodes of the system. With the consensus procedure and the cryptographic encryption of the blockchain technology, the data in the distributed system is also tamper-proof. By implementing blockchain for synchronization, collaboration in construction projects can be conducted with trust without having a single central authority.
Immersiveness and interactivity in documentary storytelling. The Apnea case study

The paper aims to investigate the potential and the boundaries of immersive experience in the field of interactive documentary through Apnea, a case study. Apnea is a media art project concerning migrants who are crossing the central Mediterranean route, one of the main access routes to Europe. In 2016 a multimedia, interactive and immersive VR installation on the politically significant shipwreck of 3 October 2013, which occurred in the Lampedusa sea (Sicily, Italy), resulted from the project. A total of 368 people lost their lives in that shipwreck. The paper will contextualise Apnea in the interactive documentary field. Furthermore, the Apnea approach to immersiveness and interactivity will be investigated. The goal is to reveal, through the Apnea example, the ways in which interactive and immersive technologies can offer a profoundly different way of experiencing a documentary for the user and how this new language is evolving.
LibGuides: Faculty Online Teaching Resources: Librarian Support for Classes

During the COVID-19 Closure, this guide will offer some links to online resources Librarians are still available to provide library orientations
Spectrum management and democratisation in Morocco

This paper explores the history and current status of spectrum regulation in Morocco. The ANRT is described in details with a focus on its primary goals and activities followed by a discussion of the policies and the outcomes of the regulatory processes. The second part of the paper closely examines the administrative threats with regards to ANRTs independence and its policies of access competition and transparency. The paper also addresses the recent pressing issues of the state's surveillance and privacy. This paper concludes with a delineation of two possible scenarios: a utopian or dystopian future of the spectrum and access to digital platforms in Morocco.
LibGuides: Zoom: Canvas Integration

This guide shows you how to use Zoom, with a focus on Zoom for classroom use by instructors.
Impoliteness Strategies in Straight Outta Compton Movie

This study investigates (1) the types of impoliteness strategies found in Straight Outta Compton movie and (2) the characters’ intention of using those types of impoliteness strategies. This research belongs to descriptive qualitative method in which the data are collected through documentation. The writer used the theory of Culpeper impoliteness strategies (1996) to analyze the impoliteness strategies and the theory of illocutionary acts by Searle (1979) and Norrick (1978) to analyze the speaker’s intention. The result shows that there are 136 impoliteness strategies used by the characters. In detail, positive impoliteness strategy is in the total number of 103 (76%), negative impoliteness strategy has 22 cases (16%), bald-on record impoliteness strategy is in the total number of 9 cases (7%) and the least total number is sarcasm or mock politeness 2 cases (1%). The writer also finds the characters’ intentions of using those impoliteness strategies, as follow: convincing, reporting, ordering, questioning, threatening, anger, like, dislike, sadness, boasting, praising, surprised, and blaming.
RCC Research Guides: Life Sciences: Websites

A basic introduction to the RCC Library resources which support study in the life sciences.
From Pedagogy to Quality Assurance in Education

In an increasingly global world, it is more important than ever that educators are equipped to respond to the needs of international student cohorts. This book is a fruitful resource for researchers, educators, and others, who wish to develop new approaches and educational models to contribute to the efficient process of learning.
A STUDY ON THE PERCEPTION OF FILIPINO LIBRARIANS ON INNOVATION

Innovation is a word librarians and information professionals use as a go-to solution when they try to justify their value to its parent organization. They talk about high-tech libraries and innovative services like learning commons, makerspaces, online databases, and at the center of these changes are the innovative librarians. However, there is seemingly a disconnect between perceptions and implementations, thus prompting a back to basics investigation on the concept itself and how it is understood by Filipino librarians.This study offers insights into what Filipino librarians mean when they refer to the word “innovation.” By exploring the concept of innovation, we may have an idea of the intention, commitment, direction, and importance of innovation in the strategic future of our libraries and information centers, thus painting a picture of Filipino librarians and their idea of the word “innovation” and how it reflected in their organizations.Surveyed for this study are librarians from all over the Philippines and their definition and perception of what words, definitions, services, and programs they consider as technological and innovative.
Research Guides: Accessing eBooks: Finding and Viewing eBooks

This guide will discuss how to search for and use ebooks subscribed to by Moon Library at ESF.
Modeling and planning through answer set programming

The line of research on the frame problem start in 1980, when formal non-monotonic reasoning arises.Recently, planning applications are being modeled with answer set programming.This allows us to represent a given computational problem through a logical program.Finally, we can use Smodels or DLV, to find an answer set for this program.Thus, a stack-type parking planning system is modeled using this methodology.
Crowd Detection by Video Processing

The video may consist of multiple shots. The target in the probe video is only annotated once with a face bounding box in a frame. Most video face identification techniques assume that the video is of single shot, and thus the bounding boxes of the target face can be extracted by tracking a face across the video frames. Nevertheless, such automatic annotation is vulnerable to the drifting of the face tracker, and the face tracking algorithm is inadequate to associate the face images of the target across multiple shots. A target face association (TFA) technique retrieves a set of representative face images in a given video that are likely to have the same identity as the target face. These face images are then utilized to construct a robust face representation of the target face for searching the corresponding subject in the gallery. Since two faces that appear in the same video frame cannot belong to the same person, such cannot-link constraints are utilized for learning a target-specific linear classifier for establishing the intra/ inter-shot face association of the target. Experimental results on the newly released JANUS challenge set 3 (JANUS CS3) dataset show that TFA method generates robust representations from target-annotated videos and demonstrates good performance for the task of video-based face identification problem.