Reviewerly/exHarmony huggingface dataset:
AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors

Obstacle avoidance is an essential topic in the field of autonomous drone research. When choosing an avoidance algorithm, many different options are available, each with their advantages and disadvantages. As there is currently no consensus on testing methods, it is quite challenging to compare the performance between algorithms. In this paper, we present AvoidBench, a benchmarking suite capable of evaluating the performance of vision-based obstacle avoidance algorithms for multi-rotors in simulation. Utilising a set of performance metrics, AvoidBench assigns performance scores to obstacle avoidance algorithms by subjecting them to a series of tasks. Using both Airsim and Unreal engine under the hood, we are able to provide high-fidelity visuals and dynamics, leading to a relatively small gap between simulation and reality. AvoidBench comes included with a simple, but powerful C++ and Python API which provides functionality for procedural environment generation, custom benchmark design, and an easy-to-use framework for users to implement their own vision-based obstacle avoidance methods. Implementing an obstacle avoidance method can be done entirely in a single file, allowing anyone to share and compare their obstacle detection and avoidance algorithms with others.
5 essential cost cutting business tips

Starting your own business can seem like a daunting task. There are so many things to do: writing a business proposal, looking for business plan samples, ...
Children with Disabilities in Education and Their Parents' Participation Preparation

The article provides an overview of philosophical and humanitarian approaches to training parents in an inclusive education and the training system itself. The study purpose is to substantiate, develop and test a system for preparing parents of children with disabilities for assistance in the education, based on the humanistic approach and the axiological concept of philosophy. These approaches in the parent training system lead society to the fact that parental competencies should be based on the special education methods, techniques and technologies for educating children with special needs; to predict the result of education and manage the correctional and pedagogical process based on an individual approach to the child. The implementation of the developed system resulted in a high level of parents' readiness to participate in inclusive children education.
GIS AND REMOTE SENSING TECHNOLOGY IN EVALUATION OF GEOSTATISTICAL HEAVY METALS SOIL FOR ENVIRONMENTAL QUALITYIN YENAGOA METROPOLIS, BAYELSA STATE NIGERIA

This research concentrates on heavy metals in urban soil in Yenagoa metropolis including 3D modeling of the environment by applying GIS and remote sensing techniques to evaluate the spatial distribution of heavy metal in the soil for better visualization of contamination zone and non-contamination zone. The results reveal that the spatial pattern of heavy metals is successfully interpolated based on situ data by using Ordinary Kriging technique. It also shows the absence of contamination in the area expect dumpsites in soil 1 in Akenfa,2 13,19 in Etegwe, and 20 in Swail. Pearson Correlation Coefficient is significant for the following heavy metals P >0.05 at Zn-Pb, Fe- Zn, Cr-Zn, Mn-Fe, and Correlation is Highly Significant at P > 0.01  Fe-Pb, Cu-Pb, Cu-Zn, Cu-Fe, Cd-Pb, Cd-Zn, Cd-Fe, Cd-Cu, Cr-Pb, Cr-Fe, Cr-Cu, Cr-Cd, Ni-Pb, Ni-Zn, Ni-Fe, Ni-Cu, Ni-Cd, Ni-Cr, Mn-Zn, Mn-Cu, Mn-Cd, and two Principal Component Analysis were found. The first principal component explained 80.324 % and the second principal component explained 18.922 % of the total variance, which indicates two sources of heavy metals in the area. besides that, urban development in the area is about 23 % of the landmass. The impacts of pollution on soil are found close to the river making the river water in the area not suitable to be used for drinking and watching household items due it serves as a dumpsite. Therefore, the area lack of environmental law and need to embark on site suitable for landfill using GIS and Remote sensing
Library Guides: Data Sets Collection Policy: About

The purpose of the data sets collection policy and program is to encourage the appropriate use of data in research. It seeks to assist in developing a library collection with a broader range of data sets available and accessible for use by the Tulane comm
WMU Research Guides: Library Collections Budget Reduction: eBook Packages

This guide provides information about the University Libraries strategies for absorbing the budget reduction and rebalancing our collections in order to address the financial contraints affecting our university.
The impact of body-movementbased interaction on engagement of peripheral information displays : A case study

With the growth of ubiquitous computing, people are getting familiar and receptive to the idea of using non personal devices in public spaces. An example of such a possible device are the large amb ...
Geometric Deep Learning Models for Linking Character Names in Novels

The paper investigates the impact of using geometric deep learning models on the performance of a character name linking system. The neural models that contain graph convolutional layers are confronted with the models that include conventional fully connected layers. The evaluation is performed with respect to the perfect name boundaries obtained from the test set and in a more demanding end-to-end setting where the character name linking system is preceded by a named entity recognizer.
Enhanced labelling in active learning for coreference resolution

In this paper we describe our attempt to increase the amount of information that can be retrieved through active learning sessions compared to previous approaches. We optimise the annotator’s labelling process using active learning in the context of coreference resolution. Using simulated active learning experiments, we suggest three adjustments to ensure the labelling time is spent as efficiently as possible. All three adjustments provide more information to the machine learner than the baseline, though a large impact on the F1 score over time is not observed. Compared to previous models, we report a marginal F1 improvement on the final coreference models trained using for two out of the three approaches tested when applied to the English OntoNotes 2012 Coreference Resolution data. Our best-performing model achieves 58.01 F1, an increase of 0.93 F1 over the baseline model.
Análisis del uso de herramientas digitales en educación física antes y durante la Covid-19

The aim of this work was to analyze the digital tools that the physical educationteachers of Secondary, University and Vocational Training have used beforeand during the confinement caused by the covid-19 and to know the purpose ofusing these in their classes. The sample was intentional and consisted of 256 physicaleducation teachers, represented by 58.2% men and 41.8% women. For datacollection, the validated SABER-TIC questionnaire was used, which presents areliability index of α: 0.926. The results show a significant increase in the use ofvideo conferencing and a slight increase in the use of office tools, image, audio andvideo editors and screen captures. Other tools are generally unknown to teachers,such as institutional repositories, real-time response and content management systems,source management tools, and citations review. It can be seen how manyeducational institutions have used audiovisual content platforms and questionnairecreation tools to conduct classes virtually, as well as to evaluate students. Regardingthe purposes of the use of ICT, no significant changes were observed beforeand during confinement. A practical application for teachers is to learn about newdigital resources to carry out programming that takes into account possible futureconfinements that are planned for the 2020-2021 academic year.
When is Explanation Transitive? A Methodological Note

&#x0D; &#x0D; &#x0D; The article considers the following explanatory- transitivity question: assume that A explains B and B explains C: does A also explain C? In the present paper the term explanation signifies causal explanation. The discussion of this question arrives at the answer that a necessary condition for explanatory-transitivity can be proposed. Accordingly, if B explains observation O (bEo) and A explains B (aEb), then A also explains O (aEo), when: if the same E is not preserved in the three expressions (bEo, aEb, aEo) then the transitivity of E will not be preserved. This answer is supported by an analysis of a large number of examples. The article also analyzes the relations among explanation, reduction and transitivity.&#x0D; &#x0D; &#x0D;
b'Regular Expressions Guides'

This list of guides was provided as a supporting document as part of the presentation, E-Resource Cataloging: Challenges and Solutions. In the presentation, catalogers from a large academic library share how they make e-resources discoverable through their approach to record quality assessment, batch editing with regular expressions in MarcEdit, and record load tracking.
Analisis Spasio-Temporal Hotspot Tindak Kejahatan Pencurian Kendaraan Bermotor (Curanmor) di Kabupaten Sleman Tahun 2017-2019

Crime is a form of lawlessness and is detrimental to society. Conventional crime dominates in the Province of DIY, one of which is the case of motor vehicle theft. Sleman Regency is the biggest contributor to the highest crime. Spatio-temporal analysis can be used to represent the intensity of crime according to the location and time of occurrence simultaneously. Analysis using the Kernel Density Estimation and buffer methods. The research aims to find out: (1) Spatial distribution of the motor vehicle theft in Sleman Regency in 2017-2019. (2) Analyzing a hotspot spatio-temporal pattern of of the motor vehicle theft in Sleman Regency in 2017-2019. (3) Analyzing the relationship between the level of the motor vehicle theft in Sleman Regency in 2017-2019 with the characteristic crime scene. The data used in this study is the data of the motor vehicle theft crime scene coordinates obtained from the geocoding process of crime scenes and the characteristic coordinates of locations around the crime scene (police stations, market and mall, university, and main roads). The result of this study is the motor vehicle theft distribution map, the spatial pattern map of the motor vehicle theft hotspots, the spatio-temporal map of the motor vehicle theft hotspots, distance map influence of location on motor vehicle theft intensity, and the scatterplot diagram. Distribution of the motor vehicle theft locations is centralized in urban areas with high spatial pattern clusters located in Depok Sub-District, Mlati Sub-District, and Gamping Sub-District. Hotspots of spatio-temporal patterns with clusters of high intensity are in part Depok Sub-District, especially in Caturtunggal Village and Condongcatur Village that have a high crime intensity each class time event. This is because it is close to urban areas that have high societal activities associated with the distances between market locations and malls, colleges, and main roads.
Decentralized vs. Distributed Organization: Blockchain, Machine Learning, and the Future of the Digital Platform

The terms decentralized organization and distributed organization are often used interchangeably, despite describing two distinct phenomena. I propose distinguishing decentralization, as the dispersion of organizational communications, from distribution, as the dispersion of organizational decision-making. Organizations can be distributed without being decentralized (and vice versa), and having multiple management layers directly affects only distribution – not decentralization. This proposed distinction has implications for understanding the growth of digital platforms (e.g. amazon.com), which dominate the global economy in the 21st century. While prominent platforms typically use machine learning as their core technology to transform inputs (e.g. data) into outputs (e.g. matchmaking services), blockchain has emerged as an alternative technological blueprint. I argue that blockchain enables platforms that are both decentralized and distributed (e.g. Bitcoin), whereas machine learning fosters centralized communications and the concentration of decision-making (e.g. Facebook Inc.). This distinction has crucial implications for antitrust policy, which, I contend, should shift both its analysis and its target of action away from the corporate level and focus instead on the data level. Based on this essay’s framework, I make several predictions regarding the future of competition between centralized and decentralized platforms, the evolution of government regulation, and broader implications for managers in the digital economy and for the business schools charged with their education. I conclude with reflections on the opportunity to revive cybernetic thinking for preventing a dystopian future dominated by a handful of platform behemoths.
Ambient Noise Reverse Time Migration Based on Normalized Full Wavefield Decomposition

Summary Ambient noise is a common type of passive source existing in the natural environment and seismic industry, which is of great value to be utilized. In this abstract, we developed an ambient noise reverse time migration (RTM) imaging based on normalized wavefield decomposition. The developed method can use raw passive seismic data directly in RTM imaging. It overcame the shortcomings in ambient noise records characteristics, including the unknown locations of ambient noise sources, low signal-to-noise ratio, unpredictable excitation time and source frequency. The normalized imaging conditions were combined with full wavefield decomposition, which enhanced the image quality of both edge and deep information, and overcame the imbalanced energy caused by uneven distribution of passive sources. Finally, the numerical examples of the Marmousi model showed the effectiveness of proposed method.
STUDI ANALISIS KECEPATAN INTERNET TELKOMSEL DI KOTA BATAM: STUDI GEOGRAFIS

Abstract:Telkomsel internet speed analysis studies in Batam have been conducted using descriptive qualitative analysis methods and the analysis technique used is to explore the existing literature. The conclusions of the comparative internet in the city of Batam using Telkomsel communication network are as follows: The trend of Telkomsel internet speed is greater in areas that have economic capability or become a business center in Batam. Internet speed in areas with large populations such as Batu Aji does not guarantee that the speed will be greater than regions with smaller populations such as Batu Ampar. Internet speed is greatly influenced by various factors such as weather, infrastructure built by telecommunications vendors.
Penerapan Metode Multiple Linear Regression Untuk Prediksi Harga Sewa Kamar Kost

The increasing needs of temporary housing is one of the reasons for the increasing number of house or special building that provide kost, a temporary housing term in Indonesia. One of the issue that resurface is how to determine or knowing the fee set by the landlord. This study will propose linear regression method to solve the problem. Linear regression method that used are Multiple linear regression with the help of Scikit-learn. Determining factors to the rent fees that are chosen in this study are: A/C availability, internet availability, on-room toilet availability, gender- limited status, kitchen availability, hot water availability and the size of the room itself. Analysis method that are done for the model prove that model has the correlation coefficient of 0.70 and are better compared to several others testing done with RSME result of 334,578.63.
Smart Shoes to Avoid Falls in the Elderly People

The world's elderly population is overgrowing.It is estimated that, by the year 2050, the number of older people in society has doubled.One of the biggest problems faced by the elderly population is falling.Therefore, this article proposed a smart wearable shoe to prevent falls in the elderly.Fuzzy logic has been integrated into algorithms to lead with uncertain situations.Thus, it is possible to infer the risks of falling in each case correctly.Black box tests and simulations reveal that wearable technologies can avoid falls.
Game values of arithmetic functions

Arithmetic functions in number theory meet the Sprague-Grundy function from combinatorial game theory. We study a variety of two-player games induced by standard arithmetic functions, such as Euclidian division, divisors, remainders and relatively prime numbers, and their negations.
Stability analysis of SGD through the normalized loss function

We prove new generalization bounds for stochastic gradient descent for both the convex and non-convex case. Our analysis is based on the stability framework. We analyze stability with respect to the normalized version of the loss function used for training. This leads to investigating a form of angle-wise stability instead of euclidean stability in weights. For neural networks, the measure of distance we consider is invariant to rescaling the weights of each layer. Furthermore, we exploit the notion of on-average stability in order to obtain a data-dependent quantity in the bound. This data dependent quantity is seen to be more favorable when training with larger learning rates in our numerical experiments.This might help to shed some light on why larger learning rates can lead to better generalization in some practical scenarios.
LibGuides: Advertising Research And Planning for Your Business: INTRODUCTION

This guide intends to show the basic thought process of creating an advertising plan and to help you find information in the library's databases.
Wigner-Ville Distribution with a Mask Filter

Summary The Wigner-Ville distribution is a powerful high resolution time-frequency algorithm used for nonstationary signals. Yet, it suffers from cross-term interference that occurs between the components of a signal. In spite of success in using smoothing windows to smooth out the interference, in both time and frequency directions, loss in resolution is inevitable. In this research, we present an adaptive Wigner-Ville distribution algorithm that modifies the Wigner- Ville method by applying a masking filter to its kernel. The algorithm results in eliminating crossterms and spurious energy while preserving the high energy precision portrayed by the Wigner-Ville method. The masking filter adapts to the shape of a reference data set and is implemented accordingly to filter the amplitude spectrum of the original data set. The filtering algorithm is an iterative process that is used repeatedly to enhance the sharpness of the spectrum. The method exploits the ability of the smoothed-pseudo Wigner-Ville in eliminating cross-terms by applying it as a masking filter on the high resolution Wigner-Ville distribution. We implement two existing mask filters and propose a new mask filter. Our results show that the new algorithm can robustly eliminate cross-terms and preserve highly localised auto-terms, which results in a high-resolution time-frequency spectrum.
PENERAPAN VIDEO ANIMASI UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN ESTIMASI BIAYA KONSTRUKSI

Penelitian ini, dilakukan untuk meningkatkan hasil belajar siswa pada mata pelajaran Estimasi Biaya Konstruksi di SMK Negeri 2 Garut yang masih rendah. Rendahnya hasil belajar ini dapat disebabkan oleh proses pembelajaran yang selalu menggunakan media pembelajaran visual statis. Sehingga, pada penelitian ini diterapkan visual dinamis berupa video animasi yang dianggap dapat memberikan pemahaman lebih konkret kepada siswa jika dibandingkan dengan visual statis. Metode penelitian yang digunakan dalam penelitian ini yaitu metode RD This research was conducted to improve student learning outcomes in Estimated Construction Costs at SMK Negeri 2 Garut which is still low. The low student learning outcomes may be caused by the learning process that always used static visual learning media. Thus, in this study dynamic visual application in the form of animated video is considered to be able to provide a more concrete understanding to students when compared to static visuals. The research method used in this study was the R&D method with quantitative approach, one group pretest-posttest pre-experiment. The results showed that the animation video was valid with a validation value of 88.33% by the content expert and 97.92% by the media expert that falls under very valid criteria and could be used without revision. In addition, the response of 6 students during a small-scale trial was 82.41% that falls under very good criteria. In the large-scale trial phase with 30 respondents, the animated videos application get an average score of 80.61% that falls under very good criteria. However, student’ learning outcomes after the implementation of animated videos application have enhanced, which are classified as low criteria. This can be seen from the value of N-Gain produced which is equal to 0.14.
Demographic Factor Influencing Lecturer Publication Performances in Indonesia

This study aims to determine the demographic factors that affect lecturer publication performances in Indonesia. Data of lecturer profile consisting of academic rank, administrative position, highest education, the country where lecturers received their degrees (overseas or regional), age, work years, and gender was collected from the Ministry of Research online database. This study employs data from 658 lecturers in the faculties of economics and business from 7 universities in Indonesia. The lecturer publication score was obtained from the Indonesian research assessment system called SINTA. To find out the relationship of these factors on the performance of lecturers' publications, multivariate regression analysis with a 95% confidence level was carried out and followed by the Tukey test. Academic rank, highest education, and the university where the lecturer received their degree had a significant influence (p-value &lt;0.05) on the 3-years and overall publication performance. Gender and administrative positions only have a significant effect on the 3-years publication performance, while age and work years did not significantly influence publication performance. The results of this study can be used by lecturer management policymakers in developing countries, especially in Indonesia to make appropriate strategies in developing lecturer resources.