Non-power-of-Two FFTs: Exploring the Flexibility of the Montium TP

Coarse-grain reconfigurable architectures, like the Montium TP, have proven to be a very successful approach for low-power and high-performance computation of regular digital signal processing algorithms. This paper presents the implementation of a class of non-power-of-two FFTs to discover the limitations and Flexibility of the Montium TP for less regular algorithms. A non-power-of-two FFT is less regular compared to a traditional power-of-two FFT. The results of the implementation show the processing time, accuracy, energy consumption and Flexibility of the implementation

Multi-core Architectures and Streaming Applications

In this paper we focus on algorithms and reconfigurable multi-core architectures for streaming digital signal processing (DSP) applications. The multi-core concept has a number of advantages: (1) depending on the requirements more or fewer cores can be switched on/off, (2) the multi-core structure fits well to future process technologies, more cores will be available in advanced process technologies, but the complexity per core does not increase, (3) the multi-core concept is fault tolerant, faulty cores can be discarded and (4) multiple cores can be configured fast in parallel. Because in our approach processing and memory are combined in the cores, tasks can be executed efficiently on cores (locality of reference). There are a number of application domains that can be considered as streaming DSP applications: for example wireless baseband processing (for HiperLAN/2, WiMax, DAB, DRM, and DVB), multimedia processing (e.g. MPEG, MP3 coding/decoding), medical image processing, colour image processing, sensor processing (e.g. remote surveillance cameras) and phased array radar systems. In this paper the key characteristics of streaming DSP applications are highlighted, and the characteristics of the processing architectures to efficiently support these types of applications are addressed. We present the initial results of the Annabelle chip that we designed with our approach

Smart Chips for Smart Surroundings -- 4S

The overall mission of the 4S project (Smart Chips for Smart Surroundings) was to define and develop efficient flexible, reconfigurable core building blocks, including the supporting tools, for future Ambient System Devices. Reconfigurability offers the needed flexibility and adaptability, it provides the efficiency needed for these systems, it enables systems that can adapt to rapidly changing environmental conditions, it enables communication over heterogeneous wireless networks, and it reduces risks: reconfigurable systems can adapt to standards that may vary from place to place or standards that have changed during and after product development. In 4S we focused on heterogeneous building blocks such as analogue, hardwired functions, fine and coarse grain reconfigurable tiles and microprocessors. Such a platform can adapt to a wide application space without the need for specialized ASICs. A novel power aware design flow and runtime system was developed. The runtime system decides dynamically about the near-optimal application mapping to the given hardware platform. The overall concept was verified on hardware platforms based on an existing SoC and in a second step with novel silicon. DRM (Digital Radio Mondiale) and MPEG4 Video applications have been implemented on the platforms demonstrating the adaptability of the 4S concept

Modelling and determining the technical efficiency of a surface coal mine supply chain

Determining the efficiency of a surface coal mine operation is an essential activity, which can help in deciding on the optimal use of input resources, including effective capital allocation, in generating a desired quantity of coal of a specific quality. Mines operate today in challenging conditions, with diminishing reserves of high-quality coal, remote location of new coal deposits, infrastructure problems, environmental legislation, and the effects of climate. All these have an impact on the performance of a mine. Given such challenges, a company has to be technically efficient compared to other existing coal producers in order to generate profits. It can use the measurement of its efficiency to evaluate its productivity, benchmarking this against the best-performing mines and determining optimal variables in order to minimize slack and achieve the desired outputs. This paper discusses the use of Data Envelopment Analysis (DEA) in evaluating the efficiency of a surface coal mine supply chain for the coal export market. The supply chain is considered to be composed of subprocesses that are modelled as a multistage system. Numeric examples will be used to illustrate the application of DEA.This paper was first presented at, A Southern African Silver Anniversary, 2014 SOMP Annual Meeting, 26–30 June 2014, The Maslow Hotel, Sandton, Gauteng.http://www.saimm.co.za/journal-papersam201

A proposed approach for modelling competitiveness of new surface coal mines

Cost estimation for surface coal mines is a critical practice that affects both profitability and competitiveness. New mines require these costs to be estimated using available information before a project begins. The competitive advantage of a new mine depends on it being both efficient and cost-effective. Low-cost producing mines have a higher chance of survival in a low-price environment than do high-cost producers. The competitiveness and profitability of a coal mine is based on the costs of production and the supply position on the cost curve. There is no single method of cost estimation, and the available methods consider only one or a few variables, leaving out multiple variables that could significantly affect the estimation of mine costs. Mining companies are thus searching extensively for a method that will increase accuracy in the estimation and evaluation of mining projects This paper highlights the shortcomings of the available approaches and proposes a data envelopment analysis method to develop a frontier for effective surface coal mines, and the use of a parametric method for modelling the costs and productivity of new mines to ensure effective competitiveness. The models will extend the capability of estimation and the accuracy of estimates using the efficient decision-making units, by considering the optimal mine-specific and external variables affecting costs.http://www.saimm.co.za/journal-papersam2016Mining Engineerin

Predicting the efficiency of a surface coal mine for competitiveness

Mining is a competitive business with many players. The survival of a mine in the business is determined by its efficiency and cost-effectiveness relative to the other producers. Both new and operating mines should select optimal technical variables, such as the production rate, that will make them competitive, taking into account mine unique project variables. This paper describes a model for estimating the technical efficiency of surface mine for Coal Supply to Local and Export (CSLE). The application of the model and evaluation is shown using simulated data. It proposes a predictive model of the efficiency of a new project.http://www.tandfonline.com/loi/nsme202017-03-31hb2016Industrial and Systems EngineeringMining Engineerin

An Isolated, Antegrade, Perfused, Peroneal Nerve Anterior Tibialis Muscle Model in the Rat A Novel Model Developed to Study the Factors Governing the Time Course of Action of Neuromuscular Blocking Agents

Background: A model of an antegrade, perfused, isolated rat peroneal nerve anterior tibial muscle was developed to study potentially important factors governing the time course of action of (nondepolarizing) neuromuscular blocking agents such as concentration, blood flow, and temperature. The model allows observation of the effects of selective changes in these factors. Methods: The authors isolated the anterior tibial muscle and cannulated the anterior tibial artery and vein, providing a way for single-pass perfusion with blood from a donor rat. A force transducer was connected to the tibialis anterior muscle and a stimulator was connected to the tibial nerve. The influence of intrinsic potency (EC 90 ) and muscle blood flow rate on the time course of pancuronium and rocuronium was investigated. Results: The model remained stable for at least 4 h with respect to twitch height, muscle structure and function, and blood chemistry. Doubling the muscle-blood flow resulted in a significantly faster onset and offset for both pancuronium and rocuronium. Trebling the intrinsic potency (EC 90 ) was not associated with significant changes in the time course of action of the relaxants. Conclusion: The authors developed and validated a model that allows us to study biophase kinetics of neuromuscular blocking agents in the anterior tibial muscle of the rat. In this model, muscle-blood flow rather than EC 90 appears to predominantly determine the onset and offset time of nondepolarizing muscle relaxants

Oxygen consumption as the definitive factor in predicting heat of combustion

Please read abstract in the article.The Paper Manufacturers Association of South Africa (PAMSA), as well as the guidance and resources provided by the Future Energy Cluster at the Mäladalens Högskola, Sweden.http://www.elsevier.com/locate/apenergy2020-02-01hj2018Chemical Engineerin