Temporal action localization is a challenging task in video understanding. Although great progress has been made in temporal action localization, the most advanced methods still have the problem of sharp performance d...
详细信息
Cymatics is the branch that studies the visible effects of the sound and vibration. In this work, we use the equipment tonoscope to convert the English alphabet acoustics sounds into visible patterns. the visible patt...
详细信息
Road traffic management has been a priority for urban city planners to mitigate urban traffic congestion. In 2018, the economic impact to US due to lost productivity of workers sitting in traffic, increased cost of tr...
详细信息
ISBN:
(纸本)9789897583773
Road traffic management has been a priority for urban city planners to mitigate urban traffic congestion. In 2018, the economic impact to US due to lost productivity of workers sitting in traffic, increased cost of transporting goods through congested areas, and all of that wasted fuel amounted to US$87 billion, an average of US$1,348 per driver. In land scare Singapore, congestion not only translates to economic impact, but also strain to the infrastructure and city land use. While techniques for traffic prediction have existed for many years, the research effort has mainly been focused on traffic prediction. the downstream impact on how city administration should predict and react to incidents and/or events has not been widely discussed. In this paper, we propose Artificial Intelligence enabled Complex Event Processing to only identify and predict incidents, but also to enable a swift response through effective deployment of critical resources to ensure well-coordinated recovery action before any incident develop into crisis.
Approximate computing techniques emerged as a novel design paradigm that utilizes the error-resilience property of many applications and helps in reducing the power and area consumption with an expense of loss in accu...
详细信息
ISBN:
(纸本)9783030348724;9783030348717
Approximate computing techniques emerged as a novel design paradigm that utilizes the error-resilience property of many applications and helps in reducing the power and area consumption with an expense of loss in accuracy of the result. In this paper, we introduce Significance-based gate-level pruning (SGLP) technique to design an approximate adder circuit whose accuracy can be controlled using an Error-threshold provided by the application user. All previous method are nonsystematic and conceptually different from each other. those methods can either apply to a chain-based adder (adders made up of a chain of full adders, e.g., Ripple Carry Adder) or unchain-based adder (e.g., Kogge-Stone Adder) but not both. SGLP follows a systematic approach to generate an approximate version of a Full Adder which is later used to produce multi-bit adder. By using the SGLP method, we can also realize an approximate variant of an unchained adder. this characteristic makes the SGLP more superior than the previous methods. To check the quality and reliability, we have tested our approach using a DCT architecture for image processing particularly image compression and found that our result is acceptable to human perception-behavior on image clarity.
the proceedings contain 31 papers. the special focus in this conference is on Telematics and computing. the topics include: Analytics for Basic Products in Mexico;design and Development of Photovoltaic Power Meter;clu...
ISBN:
(纸本)9783030332280
the proceedings contain 31 papers. the special focus in this conference is on Telematics and computing. the topics include: Analytics for Basic Products in Mexico;design and Development of Photovoltaic Power Meter;clustering Methodology in Mixed Data Sets;american Sign Language Electromiographic Alphabet Sign Translator;artificial Intelligence as a Competitive Advantage in the Manufacturing Area;mobile Application for the Support in the Learning of the Alphabet, Verbs and Pronouns of the Mexican Sign Language Based on Augmented Reality;Augmented Reality with Swift in ARkit and their Applications to Teach Geometry;computer Tool Prototype for the Selections of Views to Materialize in Data Cubes and Frequent pattern;intelligent Learning Ecosystem in M-Learning Systems;cross-Layer Architecture Applied to Geospatial Information Communication in Embedded Systems;application of Cyberphysical Systems through Logistics as a Mediating Component in Learning Processes;ioT Botnets;traffic Light Control through Intelligent Agents, Sensors and Arduino;a Clustering-Based Approach to Base Station Assignment in IoT Cellular Systems;fuzzy Logic Controller for Automation of an Autonomous Irrigation System Designed for Habanero Pepper (Capsicum Chinense Jacq.);internet of things for Irrigation System;architecture Proposal for Low-Cost Hydroponic IoT Based Systems;learning and Automatization of Searching in Digital Media, Based on Concurrency, Weighing and Decay;Security Hierarchy for the NDN Network: Description and Experimentation;methodology for Malware Scripting Analysis in Controlled Environments Based on Open Source Tools;Methodology to Create Geospatial MODIS Dataset;Validation of ICS Vulnerability Related to TCP/IP Protocol Implementation in Allen-Bradley Compact Logix PLC Controller.
the proceedings contain 4 papers. the topics discussed include: OpenMP and critical real-time systems: a possible union?;efficient architectures for machine learning systems;tuning DSE for heterogeneous multi-processo...
ISBN:
(纸本)9781450363211
the proceedings contain 4 papers. the topics discussed include: OpenMP and critical real-time systems: a possible union?;efficient architectures for machine learning systems;tuning DSE for heterogeneous multi-processor embedded systems by means of a self-equalized weighted sum method;and continuous program optimization via advanced dynamic compilation techniques.
Withthe boost of the quantity of antennas at the base station (BS) in massive multiple-input multiple-output (MIMO) systems, the channel capacity and spectral efficiency are also increased. Conventional channel estim...
详细信息
Data stream association rule is one of the most interesting problems in the data mining community. However, the bottleneck that the computational power of a single computer is limited and the number of candidate items...
详细信息
the proceedings contain 148 papers. the topics discussed include: an ordered search for subset selection in support vector orthogonal regression;ML-MDLText: a multilabel text categorization technique with incremental ...
ISBN:
(纸本)9781728142531
the proceedings contain 148 papers. the topics discussed include: an ordered search for subset selection in support vector orthogonal regression;ML-MDLText: a multilabel text categorization technique with incremental learning;community detection to invariant pattern clustering in images;a multiview clustering approach for mining authorial af?nities in literary texts;argumentation-based agents that explain their decisions;automatic ocular alignment evaluation for strabismus detection using U-NET and ResNet networks;and exploiting geographical data to improve recommender systems for business opportunities in urban areas.
the proceedings contain 9 papers. the special focus in this conference is on Big Data. the topics include: A relation extraction method based on entity type embedding and recurrent piecewise residual networks;research...
ISBN:
(纸本)9783030235505
the proceedings contain 9 papers. the special focus in this conference is on Big Data. the topics include: A relation extraction method based on entity type embedding and recurrent piecewise residual networks;research on parallel computing method of hydrological data cube;A machine learning approach to prostate cancer risk classification through use of RNA sequencing data;user level multi-feed weighted topic embeddings for studying network interaction in twitter;big data analytics for nabbing fraudulent transactions in taxation system;multi-step short term traffic flow forecasting using temporal and spatial data;towards detection of abnormal vehicle behavior using traffic cameras.
暂无评论