there is an increasing need for the development of information systemsthat can optimize field management by leveraging the information obtained from the huge volume of data related to spatial variation within agricul...
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the field of Virtual Reality/Augmented Reality goggles has continued to show rapid growth in recent years, as the major players in the industry investigate various types of "Pancake" optics and headset syste...
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ISBN:
(纸本)9781510686069;9781510686076
the field of Virtual Reality/Augmented Reality goggles has continued to show rapid growth in recent years, as the major players in the industry investigate various types of "Pancake" optics and headset systems to achieve ever thinner and lighter designs. "Pancake" optics, in which light from the internal display undergoes multiple reflections before reaching the user's eye, require extremely precise polarization control, as any polarization control error directly impacts the product performances in terms of power efficiency and image quality by causing image ghosting and degraded image clarity/contrast, quantified by MTF performance. therefore, evaluating the polarization performance of the entire optical system, as well as the performance of individual components such as lenses, optical films, and their combinations, is crucial. this presentation introduces an optimal measurement system for such evaluation, along with measurement data of "Pancake" optics from real world VR goggle products, while providing hints on how to use its power for R&D, process development, tooling and quality control of new VR headsets.
Assessing the randomness of number sequences is crucial for applications in cryptography, simulations, and statistical sampling. Traditional methods, such as the chi-squared test, have been widely used for this task. ...
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the proceedings contain 26 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: A Comparative Study of Join algorithms in Spark;blockchain-Based Forward and Reve...
ISBN:
(纸本)9783030639235
the proceedings contain 26 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: A Comparative Study of Join algorithms in Spark;blockchain-Based Forward and Reverse Supply Chains for E-waste Management;a Pragmatic Blockchain Based Solution for Managing Provenance and Characteristics in the Open Data Context;OAK: Ontology-Based Knowledge Map Model for Digital Agriculture;A Novel Approach to Diagnose ADHD Using Virtual Reality;a three-Way Energy Efficient Authentication Protocol Using Bluetooth Low Energy;clustering-Based Deep Autoencoders for Network Anomaly Detection;flexible Platform for Integration, Collection, and Analysis of Social Media for Open Data Providers in Smart Cities;post-quantum Digital-Signature algorithms on Finite 6-Dimensional Non-commutative Algebras;data Quality for Medical Data Lakelands;malicious-Traffic Classification Using Deep Learning with Packet Bytes and Arrival Time;detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning;understanding the Decision of Machine Learning Based Intrusion Detection systems;combining Support Vector Machines for Classifying Fingerprint Images;toward an Ontology for Improving Process Flexibility;sentential Semantic Dependency Parsing for Vietnamese;An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting;authorization Policy Extension for Graph Databases;A Model-Driven Approach for Enforcing Fine-Grained Access Control for SQL Queries;on Applying Graph Database Time Models for Security Log Analysis;integrating Web Services in Smart Devices Using Information Platform Based on Fog computing Model;adaptive Contiguous Scheduling for Data Aggregation in Multichannel Wireless Sensor Networks;relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation;growing Self-Organizing Maps for Metagenomic Visualizations Supporting Disease Classification.
the proceedings contain 778 papers. the topics discussed include: an algorithm for multi-attribute diverse matching;intention progression under uncertainty;social ranking manipulability for the CP-majority, Banzhaf an...
ISBN:
(纸本)9780999241165
the proceedings contain 778 papers. the topics discussed include: an algorithm for multi-attribute diverse matching;intention progression under uncertainty;social ranking manipulability for the CP-majority, Banzhaf and lexicographic excellence solutions;maximum Nash welfare and other stories about EFX;speeding up incomplete GDL-based algorithms for multi-agent optimization with dense local utilities;almost group envy-free allocation of indivisible goods and chores;uniform welfare guarantees under identical subadditive valuations;biased opinion dynamics: when the devil is in the details;formalizing group and propagated trust in multi-agent systems;fine-grained view on bribery for group identification;and evaluating approval-based multiwinner voting in terms of robustness to noise.
Wireless communication has connected millions of people across the world to internet to enable them to reap benefits of digital economy in present scenario. Almost all the sectors of economy including healthcare, agri...
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this study examines the use of an intelligent system to predict the quality of water flowing through the Johore Rivers. A neural network model of multilayer perceptron has been developed to predict the quality of wate...
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Neuromorphic computing is of worldwide interest. Compared to the von Neumann's computer architecture, neuromorphic systems offer advantages and novel approaches for artificial intelligence problems to be solved. I...
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ISBN:
(纸本)9788363578190
Neuromorphic computing is of worldwide interest. Compared to the von Neumann's computer architecture, neuromorphic systems offer advantages and novel approaches for artificial intelligence problems to be solved. Inspired by biology, neuromorphic systems adopt the theory of the human brain modeling by implementing neurons and synapses withthe help electronic devices and circuits. Many researchers developed new algorithms, learning approaches, models, etc., implement them into hardware to explore the neuromorphic system. However, many of the promising approaches concentrate on the realization not taking into account the feasibility for industrial or consumer application of the various concepts. Here, simulation and modeling methodologies are discussed with a bench of examples of different applications from well know domains, e.g. MEMS, IC, etc. An overview is given where and when the different approaches/methodologies makes sense, starting from scratch towards predictive simulations for detailed analysis and the needs for realization in mass production. Afterwards, discussion is continued towards neuromorphic computingsystems. In this paper we would like to draw the attention of the reader why it makes sense to use the support of such methods and why it is so important to push the development of simulation and modeling for neuromorphic computingsystems.
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