the development of innovative solutions to reduce hydrogeological risk is one of the most important research topics of recent years. the paper proposes a technique for river flood detection based on image processing f...
详细信息
ISBN:
(纸本)9781728140698
the development of innovative solutions to reduce hydrogeological risk is one of the most important research topics of recent years. the paper proposes a technique for river flood detection based on image processing for sub-blocks. the tests carried out withthe proposed method have shown that the system is able to estimate the flooding event with good precision and with very short timeframes. the research activity was carried out within the CORA (COntrollo del Rischio Ambientale, Environmental Risk Control) project financed by the Calabria Region (Italy)(1).
the paper presents a three-level decomposition model of behavioral on-line testing for distributed information systems of the application level. the model is based on the representation of distributed information syst...
详细信息
the proceedings contain 50 papers. the topic discussed include: user profile ontology to support personalization for e-coaching systems;random projection to preserve patient privacy;a relation extraction approach for ...
详细信息
the proceedings contain 50 papers. the topic discussed include: user profile ontology to support personalization for e-coaching systems;random projection to preserve patient privacy;a relation extraction approach for clinical decision support;using metadata for locating genomic datasets on a global scale;graph analytical re-ranking for entity search;exploring summary-expanded entity embeddings for entity retrieval;and query embedding learning for context-based social search.
Cyber-Physical systems (CPS) are expected to perform tasks with ever-increasing levels of autonomy, often in highly uncertain environments. Traditional design techniques based on domain knowledge and analytical models...
详细信息
Detection of software bottlenecks which hinder utilizing hardware resources is a classic but complex problem due to the layered structures of the software bottlenecks. However, model-based approaches require a perform...
详细信息
ISBN:
(纸本)9781450362399
Detection of software bottlenecks which hinder utilizing hardware resources is a classic but complex problem due to the layered structures of the software bottlenecks. However, model-based approaches require a performance model given, which is impractical to maintain under today's agile development environment, and profile-based approaches do not handle the layered structures of the software bottlenecks. this paper proposes a novel approach of taking the best of both worlds which extracts a performance model from execution profiles of the target application to detect the layered bottlenecks. We collect a wake-up profile of threads, which samples an eventthat one thread wakes up another thread, and build a thread dependency graph to detect the layered bottlenecks. We implement our approach of profile-based detection of layered bottlenecks in the Go programming language. We demonstrate that our method can detect software bottlenecks limiting scalability and throughput of state-of-the-art middleware such as a web application server and a permissioned blockchain network, with small amount of the runtime overhead for profile collection.
When migrating a scientific application to a new HPC system, the program code usually has to be re-tuned to achieve the best possible performance. Auto-tuning techniques are a promising approach to support the portabi...
详细信息
ISBN:
(纸本)9781450362399
When migrating a scientific application to a new HPC system, the program code usually has to be re-tuned to achieve the best possible performance. Auto-tuning techniques are a promising approach to support the portability of performance. Often, a large pool of possible implementation variants exists from which the most efficient variant needs to be selected. Ideally, auto-tuning approaches should be capable of undertaking this task in an efficient manner for a new HPC system and new characteristics of the input data by applying suitable analytic models and program transformations. In this article, we discuss a performance prediction methodology for multi-core cluster applications, which can assist this selection process by significantly reducing the selection effort compared to in-depth runtime tests. the methodology proposed is an extension of an analytical performance prediction model for shared-memory applications introduced in our previous work. Our methodology is based on the execution-cache-memory (ECM) performance model and estimations of intra-node and inter-node communication costs, which we apply to numerical solution methods for ordinary differential equations (ODEs). In particular, we investigate whether it is possible to obtain accurate performance predictions for hybrid MPI/OpenMP implementation variants in order to support the variant selection. We demonstrate that our approach is able to reliably select a set of efficient variants for a given configuration (ODE system, solver and hardware platform) and, thus, to narrow down the search space for possible later empirical tuning.
In order to reduce the unnecessary consumption of limited resources e.g., network bandwidth, communication cost, and energy of agents, a bipartite consensus problem of first-order multi-agent systems under linear asyn...
详细信息
ISBN:
(纸本)9781728100159
In order to reduce the unnecessary consumption of limited resources e.g., network bandwidth, communication cost, and energy of agents, a bipartite consensus problem of first-order multi-agent systems under linear asynchronous decentralized event-triggered control is investigated. According to properties of the connected signed graphs, the bipartite consensus control of a first-order multi-agent systems withthe coexistence of cooperative and competitive interactions is designed, so that the multi-agent systems can reach an agreement with an identical magnitude but opposite sign. Due to the drawbacks of unnecessary consumption of communication cost in traditional sampling methods, we consider the event-triggered control bipartite consensus protocol, where boththe control protocol and the event-triggered condition are based on local information and sampled states of neighboring agents. Specifically, cutting off continuous communication between agents will reduce energy consumption and communication utilization. the simulation results are given to illustrate the efficiency of the proposed control protocol.
this paper proposes a MATLAB/Simulink benchmark suite for an open-source self-driving system based on Robot Operating System (ROS). In recent years, self-driving systems have been developed around the world. One appro...
详细信息
the proceedings contain 17 papers. the topics discussed include: a location and intention oriented recommendation method for accuracy enhancement over big data;a pricing incentive mechanism for mobile crowd sensing in...
ISBN:
(纸本)9783030284688
the proceedings contain 17 papers. the topics discussed include: a location and intention oriented recommendation method for accuracy enhancement over big data;a pricing incentive mechanism for mobile crowd sensing in edge computing;load-aware computation offloading with privacy preservation for 5G networks in edge computing;mobile app for text-to-image synthesis;noise sensing calibration under different phone context;the feasibility of repurposing recycled cell phones as sensors in a smart campus shuttle monitoring system;transformer based memory network for sentiment analysis of Chinese Weibo texts;an active defense model in edge computing based on network topology mimetic correlation;comparison of user trajectories withthe Needleman-Wunsch algorithm;distributed learning automata based data dissemination in networked robotic systems;fast map-matching based on hidden Markov model;progress in interpretability research of convolutional neural networks;and self-similarity analysis and application of network traffic.
As Cyber-Physical systems (CPSs) become more autonomous, it becomes harder for humans who interact withthe CPSs to understand the behavior of the systems. Particularly for CPSs that must perform tasks while optimizin...
详细信息
暂无评论