Sökning: "data error"

Visar resultat 1 - 5 av 1041 avhandlingar innehållade orden data error.

  1. 1. Fault Injection for Studying Error Behavior and Validation of Error Detecting Mechanisms

    Författare :Marcus Rimén; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; concurrent error detection; functional error model; control flow error; error detection coverage; permanent faults; data error; error detection latency; simulation-based fault injection; transient faults; physical fault injection; dependability evaluation;

    Sammanfattning : This thesis deals with the design and validation of low-cost error detecting mechanisms that can be used to implement self-checking computers. The research objectives of the thesis are three-fold: (i) to investigate and develop a simulation-based fault injection technique that can be used on a wide range of VHDL simulation models, (ii) to investigate error propagation mechanisms in microprocessors in order to understand how to design low-cost error detecting mechanisms and (iii) to design and validate error detecting mechanisms. LÄS MER

  2. 2. On Concurrent Error Detection and Error Propagation

    Författare :Joakim Ohlsson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; error models; control flow monitoring; simulation experiments; concurrent error detection; permanent faults; watchdog processors; fault injection; transient faults;

    Sammanfattning : This thesis addresses three important steps in the selection of error detection mechanisms for microprocessors: (i) the design and evaluation of error detection mechanisms, (ii) the study of microprocessor error behavior and propagation and (iii) the design and use of error models. The first part of the thesis evaluates four error detection methods with respect to para- meters such as error detection coverage and performance loss, while the second and third parts focus on determining the error patterns most likely to occur in a computer system when different types of faults are present and how to incorporate those error patterns into error models. LÄS MER

  3. 3. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

    Författare :Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

    Sammanfattning : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. LÄS MER

  4. 4. Differential Privacy - A Balancing Act

    Författare :Boel Nelson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; vehicular data; utility; accuracy privacy trade-off; privacy; accuracy; differential privacy; data privacy; big data;

    Sammanfattning : Data privacy is an ever important aspect of data analyses. Historically, a plethora of privacy techniques have been introduced to protect data, but few have stood the test of time. LÄS MER

  5. 5. Parallel Data Streaming Analytics in the Context of Internet of Things

    Författare :Hannaneh Najdataei; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; clustering; stream continuous data processing; edge computing; Internet of Things; parallelism; elasticity; data analysis; fog computing; scalability;

    Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER