This paper presents the design of a convolutional core that utilizes an approximate log multiplier to significantly reduce the power consumption of FPGA acceleration of convolutional neural networks. The core also exp...
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Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models ...
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The urban parking spaces for loading/unloading are typically over-occupied, which shifts delivery operations to traffic lanes and pavements, increases traffic, generates noise, and causes pollution. We present a data ...
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ISBN:
(纸本)9781538670989;9781538670972
The urban parking spaces for loading/unloading are typically over-occupied, which shifts delivery operations to traffic lanes and pavements, increases traffic, generates noise, and causes pollution. We present a data analytics based routing optimization that improves the circulation of vehicles and utilization of parking spaces. We formalize this new problem and develop a novel multivehicle route planner that avoids congestions at loading/unloading areas and minimizes the total duration. We present the developed tool with an illustration and analysis for the urban freight in the city of Barcelona, which monitors tens of thousands of deliveries every day. Our system includes an effective evaluation of candidate routes by considering the waiting times and further delays of other deliverers as a first class citizen in the optimization. A two-layer local search is proposed with a greedy randomized adaptive method for variable neighborhood search. Our approach is applied and validated over data collected across Barcelona's urban freight transport network, which contains 3,704,034 parking activities. Our solution is shown to significantly improve the use of available parking spaces and the circulation of vehicles, as evidenced by the results. The analysis also provides useful insights on how to manage delivery routes and parking spaces for sustainable urban freight transport and city logistics.
The memory subsystem (memory controller, bus, andDRAM) is becoming a bottleneck in computersystem performance. Optimizing the design of the multicore memory subsystem requires good understanding of the representative...
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The memory subsystem (memory controller, bus, andDRAM) is becoming a bottleneck in computersystem performance. Optimizing the design of the multicore memory subsystem requires good understanding of the representative workload. A common practice in designing the memory subsystem is to rely on trace simulation. However, the conventional method of relying on traditional traces faces two major challenges. First, many software users are apprehensive about sharing their code (source or binaries) due to the proprietary nature of the code or secrecy of data, so representative traces are sometimes not available. Second, there is a feedback loop where memory performance affects processor performance, which in turnalters the timing of memory requests that reach the bus. Such feedback loop is difficult to capture with traces. In this paper, we present MeToo, a framework for generating synthetic memory traffic for memory subsystem design exploration. MeToo uses a small set of statistics that summarizes the performance behavior of the original applications, and generates synthetic traces or executables stochastically, allowing applications to remain proprietary. MeToo uses novel methods for mimicking the memory feedback loop. We validate MeToo clones, and show very good fit with the original applications' behavior, with an average error of only 4.2%, which is a small fraction of the errors obtained using geometric inter-arrival(commonly used in queueing models) and uniform inter-arrival.
This paper presents an automated code generation and validation, verification approach to convert model based developments into IEC 61131-3 conform function blocks. IEC 61131-3 programming languages are supported by P...
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This paper presents an automated code generation and validation, verification approach to convert model based developments into IEC 61131-3 conform function blocks. IEC 61131-3 programming languages are supported by P...
This paper presents an automated code generation and validation, verification approach to convert model based developments into IEC 61131-3 conform function blocks. IEC 61131-3 programming languages are supported by PLC manufacturers and software environment developers and provide the possibility that novel and intelligent algorithms can be directly operated on industrial accepted systems. Railway and transportation also receive drastic changes from purely hardware based systems to microcontroller + software driven systems. However, the conversion has to follow certain steps to ensure that the adaptation is done correctly and functionality is not alternated, added or deleted. Concepts suggested by different international standards such as the IEC 61508 can help to derive a tool chain to verify the generated code.
The application of computational intelligence in condition-based maintenance and diagnosis plays a leading role in the technology development of intelligent manufacturing systems. Case-Based Reasoning (CBR) is mostly ...
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The recently discovered '***' worm has drastically changed the perception that systems managing critical infrastructure are invulnerable to software security attacks. Here we present an architecture that enhan...
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With the fast development of highly-integrated distributed systems (cluster systems), designers face interesting memory hierarchy design choices while attempting to avoid the notorious disk swapping. Swapping to the f...
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Data flow processing is a common task of embedded systems which is usually modeled as a pipeline. Errors in a block of this pipeline can be propagated through it thus leading to unexpected and erroneous behaviors. For...
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