In general, the FPU and processor are decoupled in the method for FPU integration, in which the communication between them requires software intervention and ultra-precision FPU is unsupported.To avoid this problem, a method based on fine-grained control for integration of FPU into the RISC processor is proposed in this paper.In terms of operand width of floating-point instructions, the method divides floating instructions into three categories: S, D and U, and further subdivides the execution status of S, D and U.Then, it regards the execution status as basic granularity to generate the FPU control information and moves the control information needed by destination operands to the next pipeline stage.Finally, segmentation of destination operands is achieved in different pipeline stages and the destination operand is written to register file after segmentation with the pipeline.An 80-bit FPU is embedded into a SPARC V8 processor based on the proposed method.The results of implementation and verification show that the critical path of floating instructions decreases by 37.3%, hardware consumption reduces by 16.9% and the floating-point calculation efficiency increases 1.7 times.The proposed method can be used to apply the ultra-precision FPU embedded into the RISC processor, and to make an efficient collaborative computing between them at low hardware overheads.
In order to carry out a series of key basic researches, a scientific ultra-deep drilling plan is being undertaken in China. Wellbore temperature is one of the key factors during the drilling process. In this paper, we established a two-dimensional transient numerical model to predict the ultra-deep wellbore temperature distributions during circulation and shut-in stages. The simulation results indicate that the cooling effort of drilling fluid circulation is very obvious, especially during the inception phase. Drilling fluid viscosity has great influence on the temperature distributions during circulation stage: the lower the viscosity, the higher the bottomhole temperature. While drilling fluid displacement and inlet temperature have a little effort on the bottomhole temperature. During the shut-in stage, the wellbore temperature recovery is a slow process.
Objective:The work presented in this paper is to analyze the maintenance process that severely affects the performance of workshops and affects their operating cost and life span of equipment. Introduction:Any equipment or installation is subject during his lifetime, for two processes, the operating and the maintenance process.The operating process is to produce goods or services according to requirements, while the maintenance process is to maintain good working equipment or systems and improve their performance. Materials and Methods:Several techniques and methods have been developed to improve the maintenance managers and to choose the type of service based on financial and material resources available the company. Results:Our rehears is to optimize the maintenance of the boiler shop that distributes steam for air conditioning and humidity levels of the four workshops of the Denitex-Sebdou company.The facilities of this workshop require a lot of action during the year. Conclusion:The reliability tool used is based on the model of Pareto and AMDEC method to optimize equipment maintenance of the boiler which is considered the heart of the production at the complex.
Objective:The objective is to propose a resolution method to solve the identical parallel machines scheduling problem with non-renewable resources in manufacturing environment to minimize the total completion time. Introduction:Since the consideration of consumable resources becomes one of the strategic competitive tools to ensure companies performance and the stability of their production systems.This study considers a parallel machines scheduling problem with non-renewable resources. Materials and Methods:TA mathematical model is developed in order to find an optimal solution.Due to the problem complexity and prohibitive computational time to obtain an exact solution, a genetic algorithm is proposed and several heuristics are adapted to minimize the total completion time. Results:The simulation results show that the proposed genetic algorithm gives the same results as the mathematical model for small instances (exact solution) and performs the best compared to heuristics for medium and large instances. Conclusion:The scheduling problem in parallel machine environment with consumables resources is studied in this paper.A mathematical model and a metaheuristic are proposed to solve it in order to minimize the total completion time.The simulation results demonstrate the effectiveness of the proposed metaheuristic.
Objective:This paper deals with the design and the optimization of mechatronic devices. Introduction:Comparing with existing works, the design approach presented in this paper aims to integrate optimization in the design phase of complex mechatronic systems in order to increase the efficiency of this method. Methods:To solve this problem, a novel mechatronic system design approach has been developed in order to take the multidisciplinary aspect and to consider optimization as a tool that can be used within the embodiment design process to build mechatronic solutions from a set of solution concepts designed with innovative or routine design methods. Conclusions:This approach has then been applied to the design and optimization of a wind turbine system that can be implemented to autonomously supply a mountain cottage.
Objective:Solving optimization problems is a key point in the constant improving of productivity in the industries. Introduction:When traditional methods fail, it is natural to look towards some approximate resolution methods.Memetic algorithm with population management is a Metaheuristic that has been conceived in the last years, and proved its power in the resolution of the difficult optimization problems. Material and Methods:In this paper, our interest is focused on the adaptation of an optimization algorithm called memetic Algorithm with Population Management based on the strategy of management of population to avoid slow or premature convergence and to carry out the excellent executions to solve real time alternative routings selection problem in a Flexible Manufacturing System (FMS), that consists of seven machining centres, a loading and an unloading area, and six different part types which have alternative routings. Results:Simulation results based on two performance indicators which are the production rate, cycle time, work in process and machines utilization rates show that the proposed algorithm performs the best compared to the genetic algorithm. Conclusion:Then we will make a comparison between this algorithm and the genetic algorithm previously used to solve the same problem to get an idea on the most efficient methods for this problem and choose the most effective.
Objective:The complexity and size are increasingly important in industrial processes; they lead to the supervision of a growing number of variables whose knowledge is generally based on measurements and/or on processes models. Introduction:Different monitoring methods are generally based on output measurements and/or process modeling. Materials and Methods:With the lack of precision and the monitoring speed in most work due to the model or measurement noise, for this we aim to develop a new and more powerful detection model based on clocks, to ensure a rapid detection and determine fault duration to facilitate the fault identification. Result:This paper proposes a monitoring approach for interruption, permanent and/or intermittent faults in hybrid dynamical systems, whose principle is based on system modeling using hybrid automaton with stopwatch.The obtained results show that the monitoring system is able to detect rapidly the considered types of faults. Conclusion:A classic example is dedicated to illustrate our approach; the obtained results confirm the effectiveness of the proposed work.
Purpose: Study construction methods of virtual laboratory for college computer hardware course group and discuss feasibility and practicability of virtual lab; Method: Introduce principle and technologies of the virtual lab, analyze construction method of the virtual test, establish the online college open laboratory platform based on college experimental platform, and design and simulate classical microcontroller circuit-LCD electronic clock with virtual laboratory for microcontroller principle as one example; Results: simulation results indicate that the virtual laboratory for microcontroller principle can effectively design the hardware circuit and software programming and simulate based on the software and hardware.The simulation results are ideal; Conclusion: the virtual laboratory for college computer hardware course group is practicable to some extent, can improve the practice capability of students, and meet the experimental requirements of modern colleges.
Given a start point s, a target point t, and a sequence of k disjoint convex polygons in the plane, finding the shortest path from s to t which visits each convex polygon in the given order is our focus. In this paper, we present an improved method to compute the shortest path based on the last step shortest path maps by Dror et al. Instead of using of point location in previous algorithm, we propose an efficient method of locating the points in the path with linear query and make the data structures much simpler. Our improved algorithm gives the O(nk) running time which improves upon the time O(nklog(n/k)) by Dror et al., where n is the total number of vertices of all polygons. Furthermore, we have implemented this algorithm by programming. The result shows that our algorithm is correct and efficient..
The paper researches smooth switching controller for multi linear time-varying (LTV) systems with input quantization and input saturation, which is a common problem for modern flight vehicles. First, this paper presents the problem statement, in which a tracking problem is converted to a regulation problem by constructing deviation system, the tracking error is treated as the system performance and the conditions for smooth switching tracking control are discussed based on the theory of robust control technique. Secondly, controller of the deviation system with input saturation and input quantization is designed by solving Linear Matrix Inequalities (LMIs) based convex optimization problem with the conditions for smooth switching tracking control being considered. Finally, simulations are carried out for the longitudinal dynamics model of hypersonic reentry vehicle (HRV) driven by Reaction Control System (RCS) to illustrate the effectiveness and rationality of the method.
The massive volume of content traffic imposes serious challenges to today's Internet.Content distribution is widely considered as a useful method of efficiently and successfully processing content traffic.To this effect, effective cache technologies are urgently required for both Internet service providers (ISPs) and Internet users.However, transmission efficiency of major methods for content routing is too low to meet Internet's needs.This paper proposes an ant multi-path routing algorithm in which network state information is with an excepted heuristic factor function to promote the selected probability of the best possible multiple paths to improve routing efficiency.The state information of links works in the proposed algorithm to update the pheromone, allowing multi-paths to be selected with optimized proportions to distribute content appropriately.Simulation results demonstrate that the proposed method reduces access latency by 10%, thus improving the user's quality of service (QoS) by a considerable margin.Experimental results further demonstrated the superior network transmission capacity of the proposed optimization framework over other existing systems.
This paper studies the task-space tracking problem for networked robot manipulators, while the dynamic and kinematic parameters of each manipulator are unknown.A velocity observer is first developed to estimate the task-space velocity, and reference sufficient conditions for observer parameters are also given to guarantee the convergence of observation error.Based on the proposed observer, an adaptive controller is first developed when the task-space velocity is measurable, then a modified controller is proposed considering the case when the task-space velocity is unavailable.Using graph theory and Lyapunov analysis, the proof of the system stability is given.Simulations are provided to demonstrate the effectiveness of the proposed control method.
Several recent studies have demonstrated the benefits of using the Wireless Sensor Network (WSN) technology in large-scale monitoring applications, such as planetary exploration and battlefield surveillance. Sensor nodes generate continuous stream of data, which must be processed and delivered to end users in a timely manner. This is a very challenging task due to constraints in sensor node’s hardware resources. Mobile Unmanned Ground Vehicles (UGV) has been put forward as a solution to increase network lifetime and to improve system's Quality of Service (QoS). UGV are mobile devices that can move closer to data sources to reduce the bridging distance to the sink. They gather and process sensory data before they transmit it over a long-range communication technology. In large-scale monitored physical environments, the deployment of multiple-UGV is essential to deliver consistent QoS across different parts of the network. However, data sink mobility causes intermittent connectivity and high re-connection overhead, which may introduce considerable data delivery delay. Consequently, frequent network reconfigurations in multiple data sink networks must be managed in an effective way. In this paper, we contribute an algorithm to allow nodes to choose between multiple available UGVs, with the primary objective of reducing the network reconfiguration and signalling overhead. This is realised by assigning each node to the mobile sink that offers the longest connectivity time. The proposed algorithm takes into account the UGV’s mobility parameters, including its movement direction and velocity, to achieve longer connectivity period. Experimental results show that the proposed algorithm can reduce end-to-end delay and improve packet delivery ratio, while maintaining low sink discovery and handover overhead. When compared to its best rivals in the literature, the proposed approach improves the packet delivery ratio by up to 22%, end-to-end delay by up to 28%, energy consumption by up to 58%, and doubles the network lifetime.
Patients long time waiting is the most significant problem in Chinese outpatient, and the inadequate service level, as one of main factors, causes the medical error and outpatient overcrowding.This paper derives a multi-type queuing network model to help managers increase service efficiency and improve patient satisfaction based on Chinese current outpatient condition.One of this model's characteristics is capturing different patient types who pass through the system in different service routes.The other unique thing is taking the outpatient service process as a whole queuing network with multi-type patients, not a simple tandem queuing network.Only by the external arrival rate, the arrival rate of each service node can be calculated in order to obtain the system operation indicators including server utilization, waiting time and patient number in queue and system as the service targets, in this way, the hospital manager can clarify the current outpatient operation and promote the situation by modifying the server number.Results from one actual case are used to demonstrate the methodology.This multi-type queuing network analysis method can assist to organize the server resource more effectively in the status of limited resource and excessive demand, and can be an important innovation in hospital management.
The Fourier Analysis has two distinguished characteristics: 1) has higher frequency resolution and lower temporary resolution in the low frequency part, and 2) has the opposite characteristics in the high frequency part, so it has a strong ability showing local characteristics of signal.The paper takes use of wavelet decomposition and reconstruction function to decompose and reconstruct seismic signal, then extract local characteristics as we want.In order to simplify the process at the same time, we use MATLAB as our analysis tool and realize the result visualization display base on the C# language programming.The result shows that this is not a new way but a very efficient way in the process of seismic signal analysis.
