Reviewerly/exHarmony huggingface dataset:
A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving

Convolutional neural networks (CNNs) are widely used in vision-based autonomous driving, i.e., detecting and localizing objects captured in live video streams. Although CNNs demonstrate the state-of-the-art detection accuracy, processing multiple video streams using such models in real-time imposes a serious challenge to the on-car computing systems. The lack of optimized system support, for example, could lead to a significant frame loss due to the high processing latency, which is unacceptable for safety-critical applications. To alleviate this problem, several optimization strategies such as batching, GPU parallelism, and data transfer modes between CPU/GPU have been proposed, in addition to a variety of deep learning frameworks and GPUs. It is, however, unclear how these techniques interact with each other, which particular combination performs better, and under what settings. In this paper, we set out to answer these questions. We design and develop a Multi-Tenant Parallel CNN Inference Framework, MPInfer, to carefully evaluate the performance of various parallel execution modes with different data transfer modes between CPU/GPU and GPU platforms. We find that on more powerful GPUs such as GTX 1660, it achieves the best performance when we adopt parallelism across CUDA contexts enhanced by NVIDIA Multi-Process Service (MPS), with 147.06 FPS throughput and 14.50 ms latency. Meanwhile, on embedded GPUs such as Jetson AGX Xavier, pipelining is a better choice, with 46.63 FPS throughput and 35.09 ms latency.
Time Series Synthesis using Generative Adversarial Networks

Generative Adversarial Networks are widely used as a tool to generate synthetic data and have previously been applied directly to time-series data. However, relying solely on the binary adversarial loss is not sufficient to ensure the model learns the temporal dynamics of the data. TimeGAN [14] introduces an additional reconstruction and supervised loss to tackle this issue. We have been able to reproduce results similar to those of the original TimeGAN paper [14], after fixing several issues in the provided implementation by the authors of TimeGAN. Furthermore, we propose two novel improvements to the existing algorithm. Firstly we updated the implementation to Tensorflow 2 to ensure compatibility across systems. Secondly by scaling the epochs over the three training phases we are able to reduce the overall training time up to 29\% and produce results equal or better compared to the benchmark.
Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking

This paper documents the University of Amsterdam’s participation in the TREC 2020 Deep Learning Track. Rather than motivated by engineering the best scoring system, our work is motivated by our interest in analysis, informing our understanding of the opportunities and challenges of transformers for text ranking. Specifically, we focus on the passage retrieval task where we try to answer three of sets of questions. First, transformers use different tokenization than traditional IR approaches such as stemming and lemmatizing, leading to different document representations. What is the effect of modern preprocessing techniques on traditional retrieval algorithms? Our main observation is that the limited vocabulary of the BERT tokenizer is affecting many long-tail tokens, which leads to large gains in efficiency at the cost of a small decrease in effectiveness. Second, the effectiveness of transformers is a result of the self-supervised pre-training task promoting general language understanding, ignorant of the specific demands of ranking tasks. Can we make further correlate queries and relevant passages in the pre-training task? Our main observation is that there is a whole continuum between the original self-supervised training task of BERT and the final interaction ranker, and isolating ranking-aware pre-training tasks may leads to gains in efficiency (as these pretrained models can be reused for many tasks) as well as to gains in effectiveness (in particular when limited data on the target task is available). Third, transformers combine large sequence length with many layers, with unclear what this deep semantics adds in the context of ranking. How complex do the models need to be in order to perform well on this task? Our main observation is that the deep layers of BERT lead to some, but relatively modest, gains in performance, but that the exact role of the presumed superior language understanding for search is far from clear.
Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task

Real-word intelligent agents must be able to detect sudden and unexpected changes to their task environment and effectively respond to those changes in order to function properly in the long term. We thus isolate a set of perturbations that agents ought to address and demonstrate how task-agnostic perturbation detection and mitigation mechanisms can be integrated into a cognitive robotic architecture. We present results from experimental evaluations of perturbation mitigation strategies in a multi-robot system that show how intelligent systems can achieve higher levels of autonomy by explicitly handling perturbations.
DIGITALIZATION OF EDUCATION AS A CHALLENGE OF A TIME OF CHANGE

The article discusses the topical issue of the mutual influence of the development of the digital econ-omy and the system of the educational process, training of specialists with information and digital competen-cies. The purpose of this study is to identify the main trends in the development of digitalization of educa-tion and determine the prospects for the formation of new educational structures. The article provides information on updating the work program "Social interaction in construction" for the use of modern information resources. Highlighted knowledge, skills, abilities of new content, in relation to the updated work program. The author characterizes the system of lifelong education, highlights the trends in education of the fu-ture, challenges and prospects of digitalization in education. The results of research on this topic contribute to the development of the only correct model of educa-tion in modern Russia.
LibGuides: Broadband and Technology: Home

This LibGuide provides and maintains a roster of community organizations and businesses that offer technology services and resources to easily refer to community members in the event additional services from what the Library provides is needed.
Peranan Perpustakaan dalam Meningkatkan Budaya Gemar Membaca Mahasiswa pada Program Studi Ilmu Administrasi Negara Fakultas Ilmu Sosial dan Ilmu Politik Universitas Sang Bumi Ruwa Jurai

This study entitled The Role of Libraries in Improving the Reading Culture of Students in the State Administration Study Program, Faculty of Social and Political Sciences, Sang Bumi Ruwa Jurai University aims to determine the role of libraries which consists of four components, namely librarians, collections, management and spatial management. in improving the reading culture of students in the State Administration Study Program, Faculty of Social and Political Sciences, Sang Bumi Ruwa Jurai University. This research uses a descriptive method. The data collection technique used is by distributing questionnaires, interviews, observations and literature studies. The results of the research can be said that the librarian in the library of the State Administration Study Program, Faculty of Social and Political Sciences, Sang Bumi Ruwa Jurai University has a role in increasing the reading culture of students, collections in the library of the State Administration Study Program, Faculty of Social and Political Sciences, Sang Bumi University. Ruwa Jurai has a role in increasing students' reading culture, library management in the library of the State Administration Science Study Program, Faculty of Social and Political Sciences, Sang Bumi University. Ruwa Jurai has a role in increasing students' reading habit, and the layout of the library in the Administrative Sciences Study Program library. The State Faculty of Social and Political Sciences, University of Sang Bumi Ruwa Jurai has a role in increasing the reading culture of students. Keywords: library, culture, love to read
Digital competencies of russians and work on self-isolation during the COVID-19 pandemic

Аbstract. The massive transition of Russians to remote work during the COVID-19 pandemic was possible due to the achieved level of digital competencies, a key component of digital literacy. The paper is based on the materials of self-assessment measurement of digital competencies of the Russian adult population, conducted by Russian Public Opinion Research Center (VCIOM) and Social Business Group (SBG) at the end of April 2020. The study proposes a classification of digital competencies that are in demand in both routine and professional practices, identifies four quartiles of individual digital competencies depending on the self-assessment of their presence, and portrays four clusters of Russians depending on the level of adaptation to the digital environment. © 2021 Russian Public Opinion Research Center, VCIOM. All rights reserved.
Observing Quantum Entanglement: Interference Patterns and Breaking Bell's Inequality

In this two-part experiment, we studied the interference pattern of a laser pointer interfering with itself through a Mach-Zehnder interferometer as well as tested Bell’s Inequality for entangled particles via parametric down conversion. The predicted results were a fringe pattern that was purely circular with distinct fringes, however, the results of the laser pointer interference were inconclusive due to significant error in the alignment of the interferometer. In reference to the second part of our lab, due to COVID-19 restrictions, time ran out for us to complete data collection of the coincidence counts between the down converted beams of our Gallium Nitride laser. We attributed the lack of coincidence counts to error in the precision of the alignment of the optical apparatus. Thus, we used reference data instead to calculate the statistic, S=2.31 ± 0.04, to compare with Bell’s Inequality of |S| ≤ 2. Our result using the reference data did exceed Bell’s Inequality, as was expected of quantum mechanics, being non-local.
Vertical feature pyramid networks

In this paper, a new scalable configuration is introduced for arranging Feature Pyramid Networks (FPNs) known as Vertical FPNs or VFPNs. Our work is an alternative approach to the one commonly employed for computer vision tasks. The FPNs are parallelized for improved learning of complex features directly from backbone. Our hypothesis is validated by parallelizing EfficientDets FPNs. This method of scaling is an effective method to boost the performance and improve the mAP.
Effect of Interventions on Spatial Abilities in the Field of Technical Skills in Health Care: A Systematic Review

Objective Spatial abilities have been correlated to anatomy knowledge assessment using practical examinations, 3D‐synthesis from 2D‐views, drawing of views, and cross‐sections in a previous systematic review. Spatial abilities have also been correlated in a systematic review to technical skills performance in health care in novices and intermediate learners. Evidence has been found for improvement of spatial abilities in the field of anatomy education using instruction in anatomy and mental rotations training in a systematic review. The objective of this study was to conduct a systematic review of the effect of interventions on spatial abilities in the field of technical skills in health care. Methods A literature search was conducted up to November 14, 2017 in Scopus and in several databases on EBSCOhost platform (Medline with Full Text, Cinahl Plus with Full Text, ERIC, Education Source and PsycInfo). Citations were obtained, articles related to retained citations were reviewed and a final list of included studies was identified. Methods in the field of technical skills relating an intervention to spatial abilities test scores between intervention groups or obtained before and after the intervention were identified as eligible. The quality of included studies was assessed and data were extracted in a systematic way. Results A series of 5513 citations was obtained. Ninety‐nine articles were retained and fully reviewed, yielding four included studies. A two‐semester learning period of abdominal sonography was found to increase the Revised Minnesota Paper Form Board Test score (p &lt; 0.05). No difference in the Hidden Figure Test score after one year was observed after residency training in General Surgery of at least nine months. A first‐year dental curriculum was not found to elevate the Novel Object Cross‐Sections Test score (p = 0.07). A hands‐on radiology course using interactive three‐dimensional image post‐processing software consisting of seven two‐hour long seminars on a weekly basis was found to amplify the Cube Perspective Test score (p &lt; 0.001). A meta‐analysis was not possible because of inconsistent reporting of statistical results for spatial abilities test score. Conclusion Spatial abilities tests scores were enhanced by courses in sonography and hands‐on radiology, but were not improved by residency training in General Surgery and first‐year dental curriculum. Enhancements of spatial abilities in the field of technical skills in health care found in this study were similar to those observed in the field of anatomy education using instruction in anatomy. Specific courses will need to be compared in the future to general curriculum for the malleability of spatial abilities. Instruction in anatomy and courses of technical skills will also need to be compared as related to spatial abilities. Support or Funding Information Funding source: none This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
CONSTRUCTION METHOD OF URBAN PLANNING DEVELOPMENT USING ARTIFICIAL INTELLIGENCE TECHNOLOGY

One of the most emerging techniques is Artificial Intelligence (AI) because many applications in different sectors are using this Artificial Intelligence (AI) and such as banking, marketing, finance, agriculture, security, healthcare, space exploration, robotics, manufacturing and artificial creativity. Even though most of these applications are related to urban context, in the urban development and panning fields, the AI application concepts or areas and its current technologies are can be understand limitedly. Therefore communication gap rises in the AI-related practices and policies, and AI technologies, their application areas in the cities. In this paper Construction Method of Urban planning development using Artificial Intelligence Technology is implemented. Initially urban development plan of action is designed by the director. High level planning is done by using artificial intelligence. This high level planning is based on the road network density, public health development, finance and infrastructure development, fibernet & connectivity, electricity development and water development. Hence from results the urban planning development using artificial intelligence technology improves the accuracy and efficiency in very effective way.
Analysis of the Influence of the Quality of Library Services on Library Satisfaction

The aim of this study was to analyze the effect of library service quality on the satisfaction of users at the Library and Archives Service of South Barito Regency, Central Kalimantan.This research uses a quantitative research approach, with the aim of obtaining a deep picture of the analysis of library service strategies.The research sample used was 100 respondents who were users.Data analysis used simple linear regression method.The results showed that the service quality factor based on tangible indicators, reliability, responsiveness, assurance and empathy had quite good categories.The level of user satisfaction based on indicators of overall satisfaction (overall satisfaction) expectations (expectation satisfaction), and trust (expeience satisfaction) has a category of quite satisfied It is recommended to the Regional Library and Archives Service to improve the quality of its services by taking into account direct evidence factors tangible, reliability, responsiveness, assurance and certainty, and empathy so as to increase customer satisfaction.
Features of the Personal Adaptability of Medical Students in Different Courses of Study

The article is devoted to the study of personal adaptability of medical students enrolled in different courses. Various approaches to the concept of personal adaptability are analyzed, methods of its diagnostics are considered, the structure of personal adaptability of medical students of all courses is revealed. As a result of empirical research, it is possible to state that the greatest deficiency in the structure of personal adaptability characterized by a socio-oriented type prevails in the first, second and fourth years of study at a medical school. Personal adaptability of third-year students has an average level. The most harmoniously developed adaptability with the predominant characteristics of an autonomously oriented personality is possessed by students of the fifth and sixth years of a medical school.
DI Library: Kravet Resource Center: Ordering Memo Samples

Your guide to using the Kravet Resource Center and eDesignTrade as a DI student Instructions for DI students to order memo samples from Kravet.
GAMES DYNAMICS: CHARACTERISTIC OF COMPONENTS AND PECULIARITIES OF THEIR USE IN THE PROCESS OF THE CREATION OF DIGITAL GAMES BY THE TUTOR AND STUDENTS

The paper presents gamification of the learning process in higher education as a means of forming various competencies in students through the possibilities open by digital technologies. It also contains a brief description of the components of game dynamics as part of their outline created by teachers and students.
The effect of Cooperative Learning Strategy on Sensory Modeling on the Performance of Some Essential Skills for Female Students’ Basketball

The study aimed to identify the preference for sensory modelling among fifth-grade middle school students and to identify the impact of cooperative learning strategy according to the sensory preference for some basic skills in basketball among fifth-grade middle school students and identifies the current research community of school students for the fifth middle school, the research sample was chosen in a way Random, as using this method means that each member of society has an equal opportunity to choose him in the sample.This research included the application and poll of ( 48) students (Al-Imam Al-Rida School, peace be upon him / Basra).The researchers concluded that the cooperative learning strategy according to sensory modelling Its positive impact on teaching some skills for fifth-grade students preparatory for experimental groups in all tribal and post-tests, and the curriculum used by the teacher has a positive effect on teaching some of the skills capabilities of fifth-grade students preparatory for the group controlling in all pre and post-tests if to use a cooperative learning strategy according to modelling Sensory has positively affected some skills of the experimental group as compared to the total The control group in the test had the least significant difference for the experimental groups compared to the control group.The use of cooperative learning strategy according to sensory modelling has provided more time that can be used to achieve the objectives of the lesson without the critical time that can be used to correct and repeat more.
Exploring Food based Interactive, Multi-Sensory, and Tangible Storytelling Experiences

Much work has been done on the design of both interactive narratives and food-based interaction systems, however their intersection has received little attention within the design research community. We took the relative dearth of food-based interactive storytelling systems as an opportunity to explore a compelling design space for multisensory interactive narratives, given these few systems often position people only as passive observers. We report the results of a design workshop conducted among the authors who are design researchers in interactive narratives and food-based play. In the workshop, we discussed existing works, asynchronously brainstormed new food-based interactive storytelling systems, and then reconvened to discuss our ideas. We present the portfolio of designs that arose from this workshop, and the design themes that we synthesized from the portfolio. We recommend how to position people not just as observers, but as active participants in the interactive food-based storytelling system.
Short-term power output forecasting of the photovoltaics in Bulgaria

The hourly power output forecasting of the photovoltaics is crucial for scheduling and dispatching purposes in order to minimize imbalances arisen in settlement process and to precisely define the required balancing reserves. The photovoltaics are mainly connected to the distribution grid. Their production creates different levels and directions of power flows during the day that is important for the grid assessments, including maintenance scheduling. In this report is presented a forecasting model suitable for markets perspectives and security assessments of the grid.
APLIKASI DANGER MESSAGE DAERAH RAWAN KECELAKAAN DENGAN ANDROID GIS

There are several areas in Probolinggo District where accidents often occur because the location of the existing road is indeed very dangerous, because of sharp turns or because of the heavy traffic on the road, this problem can be reduced by giving messages through the Android mobile application. The number of accidents that occur in various places with the time of the incident in the district of Probolinggo can be obtained at the Office of Transportation. The purpose of this research is to create an GIS android application that can provide information about maps of accident-prone areas in Probolinggo Regency. The method used is using a spiral. With stages, Planning, Risk Analysis, Product Engineering, Evaluation by users. Information about traffic accident-prone locations is very much needed by the community, transportation and law enforcement agencies in this case the police. Android-based Geographic Information System as an appropriate tool to be applied in this case because it uses the Mapping location of accident-prone areas and will, sending messages (dangger message), in the form of user distance from accident-prone locations.
Ownable Log Trailer Fliegl V1.0.2

Version 1.0.2 added new companies from DLC Road to the Black Sea, adapted for patch 1.36.x Ownable log trailer Fliegl Standalone Advanced coupling ...
Ontology to Transfer Knowledge in the Software Testing Stage

The processes and activities in quality management of software engineering generate a large volume of knowledge, which is considered a critical factor for the quality of the software product. Therefore, a significant improvement of the effectiveness and fulfillment of the tasks that encompass this process, is required. It is there where the use of knowledge management methods and principles becomes the basis for managing the process. Following this argument, it was studied how ontologies can be used in knowledge management in the testing phase of software engineering. An ontology-based model was developed for this domain that covers the identification, formalization, distribution, and retention of knowledge, defining the indicators for each of these dimensions.