20,798 research outputs found
AI Trading Engine: Exploring the capabilities of AI in digital asset trading
No full textScientific advances in the field of artificial intelligence, and the ever increasing processing power of computers, have opened up opportunities to use artificial in- telligence for new industries and applications. Blockrise foresaw opportunities in using artificial intelligence for digital asset management. Blockrise’s founders and the development team formalised the problem and drew up a project pro- posal, which was accepted by the TU Delft Bachelor End Project coordinators and overseen by Prof. Dr. Jan Rellermeyer in the role of TU Coach.The development team first reserved roughly two weeks to spend on research- ing the problem and possible solutions. A research proposal was formalised, in which details of the problem were explained and abstract solutions were given. During the next six weeks, the team started the concrete implementation of the solution. The team created a neural network to use as core functionality in the product. Supporting functionality was simultaneously developed to allow re- trieval and processing of necessary data. With enough useful data on hand, the neural network could be trained to make predictions based on an asset’s closing price, opening price, the highest price and the lowest price for each next minute, hour and day.Extensions to the product were made in the form live-data processing, and validation and visualisation of predictions. Trading strategies were included to allow fully automated decision on placing market orders. The final stage of the development period was spent tweaking the neural network parameters in order to minimise prediction error.Computer Scienc
Jan Kapr's contribution to contemporary music : an essay about a composer and teacher
No full textThis creative project is a treatise on a leading personality of Czechoslovakian musical life, the composer, Jan Kapr. The author discusses the following:1. The complicated development of Kapr's career and work, 2. Kapr's method of organization of musical material in a composition, as described in his book Constants,3. His former and current style which is demonstrated in two of his compositions, Concert Variations, for flute and string orchestra and Testimonies for four solo instruments,4. Two of his recent works, Exercises for Gydli and the Symphony No. 7, Country of Childhood.Thesis (M.A.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
ELEVEN FACES OF JAN GOGOL, JR.
No full textAuthor Jan Rendl in his thesis attempts to look at the world of ideas and educator Jan
Gogola ml. through the eleven chapters in which each chapter somehow characterizes itself by Jan Gogola ml. and each of them somehow determines its creative ideas of it through the metaphor of a football match when Jan Gogola, with its characters, movies himself a teammate, as well as defensively. It gives goals with their situations as well as occasionally digging his opponents ankles.
Jan Gogola ml. thus embodies one stage of the Department of Documentary Film at FAMU, which often stands at the intersection between teaching activities and Karel Vachek among students who applied by them during their seminars psychological methods that work must be peculiarly associated with the author of the film
Dr. Jan French – Faculty Author Interview
No full textDr. Jan French, Assistant Professor of Anthropology, discusses her new book, Legalizing Identities: Becoming Black or Indian in Brazil’s Northeast, which shows how law can successfully serve as the impetus for the transformation of cultural practices and collective identity
Jan Bernátek - organ works
No full textThis graduation thesis provides a more detailed view on compositoins of Jan Bernátek.The aim is to present this less well-known temporary czech author,who makes use of the organ in the majority of his work
DNN-porting for maximizing inference hardware utilisation at the Edge
No full textIndustry 4.0 and the Industrial Internet of Things (IIoT) growth will result in an explosion of data generated by connected devices. Adapting 5G and 6G technology could be the leading enabler of the broad possibilities of connecting IIoT devices in masses. However, the edge solution has some disadvantages, such as the loss of resource elasticity compared to cloud solutions. The research questions of this thesis are whether Deep Neural Networks (DNN)-porting can solve the accuracy-performance trade-off of edge computing solutions and how to implement an edge computing system based on open-source container-orchestrated DNN model inference platforms to enable vertical model autoscaling capabilities.The thesis shows how porting techniques like structured pruning on DNN enable the accuracy performance trade-off in hardware-constrained settings. It generates models with reduced complexity and size while minimally degrading the accuracy. By using these ported models in the proposed inference platform, the thesis demonstrates how an edge computing system can achieve vertical model autoscaling capabilities, enabling efficient use of computational resources. This research focuses on CPU hardware and Real-Time (RT) request scenarios, where the latency Service Level Objective (SLO) combined with current demand are crucial factors. When the resources in an inference system deplete, the latency of individual requests can increase significantly due to queuing. The results show how an orchestrator can make live model version selections based on the model versions and demand. The proposed system increases the maximum possible throughput compared to the state-of-the-art while avoiding creating a queue in the RT scenario and improving system accuracy when CPU resources are available. Additionally, this work proposes a design to implement these benefits in industry-adopted open-source DNN inference platforms.Computer Science | Artificial Intelligenc
Self-adaptive Executors for Big Data Processing
No full textThe demand for additional performance due to the rapid increase in the size and importance of data-intensive applications has considerably elevated the complexity of computer architecture. In response, systems offer pre-determined behaviors based on heuristics and then expose a large number of configuration parameters for operators to adjust them to their particular infrastructure. Unfortunately, in practice this leads to a substantial manual tuning effort. In this work, we focus on one of the most impactful tuning decisions in big data systems: the number of executor threads. We first show the impact of I/O contention on the runtime of workloads and a simple static solution to reduce the number of threads for I/O-bound phases. We then present a more elaborate solution in the form of self-adaptive executors which are able to continuously monitor the underlying system resources and detect contentions. This enables the executors to tune their thread pool size dynamically at runtime in order to achieve the best performance. Our experimental results show that being adaptive can significantly reduce the execution time especially in I/O intensive applications such as Terasort and PageRank which see a 34% and 54% reduction in runtime.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Data-Intensive System
IoT resource-aware orchestration framework for edge computing
No full textExisting edge computing solutions in the Internet of Things (IoT) domain operate with the control plane residing in the cloud and edge as a slave that executes the workload deployed by the cloud. The growing diversity in the IoT applications requires the edge to be able to run multiple distinct workloads corresponding to the dedicated inputs it receives, each catering to a specific task. Achieving this with the current approach poses a limitation as the cloud lacks the local knowledge at the edge and sharing this knowledge regularly between the edge and the cloud will defeat the very purpose of edge computing, i.e., low latency, less network congestion and data privacy. To solve this problem, we propose an orchestration framework for edge computing that enables the edge to actively initiate and orchestrate the workloads on request by using the local knowledge available in the form of IoT resources at the edge.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Dataintensive SystemsInformation and Communication Technolog
The Theological Work of Jan Valerián Jirsík
No full textAnglická anotace The theological work of Jan Valerian Jirsík Jan Hamberger This thesis deals with the theological work of the Czech 19th century author Jan Valerián Jirsík (1798-1883). Its first part consists of an introduction into the Czech historical context of the 19th century and the life of the author. Its second part presents a survey of the literary-theological work of Jirsík in three life phases: the first phase is demarked by his activity as chaplain and vicar, the second phase by his editorial activity for Casopis pro katolické duchovenstvo (trans. Magazine for catholic clergy) and the last phase by his pontifical years in the diocese of Southern Bohemia. His literary work is divided by theme into various periods, shortly described and characterized. The last and major section of this thesis deals with the most comprehensive and renown work of Jan Valerián Jirsík - Populární dogmatika (trans. Popular doctrine). This pivotal work of theologian Jirsík is discussed at large and analyzed by tractate, both apologetic and dogmatic. The conclusion expresses the prevailing character of the entire work of Jirsík and its significance. Key words: Theology Apologetic theology Dogmatic theology Theological literature Catholic Churc
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