this work considers the divisible load distribution problem on heterogeneous linear networks. A divisible load distribution determines optimal fractions of the load and assigns them to more than one processor for mini...
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ISBN:
(纸本)9781509049172
this work considers the divisible load distribution problem on heterogeneous linear networks. A divisible load distribution determines optimal fractions of the load and assigns them to more than one processor for minimizing the parallel execution time. Two algorithms P (pipelined communication) and M (modified method) have been proposed. the algorithm P employs the pipelined communication technique in the design. the algorithm M uses a modified method to improve the algorithm P. Closed-form expressions for the parallel processing time and speed-up are derived. In homogeneous linear networks, this work demonstrates that the pipelined communication technique outperforms the send-and-receive strategy. In heterogeneous linear networks, experiments show that the proposed algorithms are better than the send-and-receive strategy. the algorithm M is better than algorithm P when the computation-to-communication ratio is large or the number of processors is small.
the proceedings contain 184 papers. the topics discussed include: consistent of Line update of suspended virtual machines in clouds;AgentPi: an IoT enabled motion CCTV surveillance system;IoT based hybrid green energy...
ISBN:
(纸本)9781728130248
the proceedings contain 184 papers. the topics discussed include: consistent of Line update of suspended virtual machines in clouds;AgentPi: an IoT enabled motion CCTV surveillance system;IoT based hybrid green energy driven highway lighting system;performance improvement of high-speed file transfer over JHPCN;WiTrack: human-to-human mobility relationship tracking inindoor environments based on spatio-temporal wireless signal strength;hybrid collaborative filtering with semi-stacked denoising autoencoders for recommendation;and FalconEye: a high-performance distributed security scanning system.
Internet of things (IoT) has a wide range of potential from smart home systems to hospitals or in industry under the title of Industry 4.0. this not only makes our life easier to monitor and manage our tasks but also ...
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this paper presents the designing for a dynamically stable two-wheel mobile manipulator (DSTMM) with web camera to make it a more home-service robot. this paper proposes a balancing control system, which comprised of ...
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ISBN:
(纸本)9781509049172
this paper presents the designing for a dynamically stable two-wheel mobile manipulator (DSTMM) with web camera to make it a more home-service robot. this paper proposes a balancing control system, which comprised of an angle controller and a position controller, for the balancing and position control of the DSTMM robot. A yaw controller is a compensated speed control signal to add into the right or left driving wheels. this results in boththe wheels moving at different speed such that the DSTMM robot can rotate. In the hardware implement, this paper uses two development boards. One is the Arduino Mega 2560 and the other is the Raspberry Pi 2. the Arduino Mega 2560 development board is used to implement the intelligent control scheme and the Raspberry Pi 2 development board is used to handle the related image processing. Finally, the real-time experimental results show that the DSTMM robot can authenticate both in the quality of the balance and steering controller systems and can move to proper position and pick up the objects withthe dual-arm manipulators.
In this paper, a self-constructing fuzzy wavelet neural network (SFWNN) is used to approximate an unknown nonlinear term in the system dynamics withthe structure and parameter learning abilities concurrently. Further...
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ISBN:
(纸本)9781509049172
In this paper, a self-constructing fuzzy wavelet neural network (SFWNN) is used to approximate an unknown nonlinear term in the system dynamics withthe structure and parameter learning abilities concurrently. Further, a selfconstructing fuzzy wavelet neural control (SFWNC) system, which is composed of a computation controller and a robust compensator, is proposed. the computation controller using the SFWNN approximator is the main controller and the robust compensator is designed to eliminate the effect of the approximation error. All controller parameters of the SFWNC system are adaptively update based on the Lyapunov stability theory and the projection algorithm to guarantee the closed-loop system stability. Finally, the effectiveness of the proposed SFWNC system is verified by simulation results and the SFWNN approximator has the admirable property of small fuzzy rules size and high learning accuracy.
this paper illustrates fault classification on hybrid transmission line. Current signals were analyzed by coefficients of discrete wavelet transform (DWT). Daubechies4 (db4) is employed as mother wavelet to decompose ...
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ISBN:
(纸本)9781509049172
this paper illustrates fault classification on hybrid transmission line. Current signals were analyzed by coefficients of discrete wavelet transform (DWT). Daubechies4 (db4) is employed as mother wavelet to decompose high frequency components from fault signals. In this paper, ATP/EMTP is used to simulate fault signal from current signals. Hybrid system between overhead line and underground cable of 115 kV from Provincial Electricity Authority (PEA-thailand) system in case single circuit single conductor with overhead and underground was used as simulation case study. Various factors such as location of fault, fault type and fault angle have been taken into consideration. DWT is then applied on phase current and zero sequence signals using MATLAB software in order to obtain coefficient in scale 1 for further analysis. this value is mainly used to design algorithm for fault classification. Result obtained from the study is satisfactory.
Virtualization technology has brought new vitality to data centers but also brought some thorny issues. Virtualization technology creates an abstract intermediate layer, separating the upper layer applications from th...
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ISBN:
(纸本)9781509050819
Virtualization technology has brought new vitality to data centers but also brought some thorny issues. Virtualization technology creates an abstract intermediate layer, separating the upper layer applications from the underlying infrastructure, which cause some difficulties to the upper layer applications for the effective use of resources. Based on this observation, we propose a dynamic load balancing system in virtualized environment. the system adjusts the weights of virtual machines in real-time in order to balancing physical servers' load and improve data center efficiency. In addition, by monitoring physical machine failure information, we can evacuate physical machines as soon as they failed to ensure high availability of the data center. We design a virtualized environment monitoring system and propose an efficient algorithm. We evaluate the proposed system with real implementations which show DLB has rather good performance.
Adequate tool support for Enterprise Architecture (EA) and its respective management function is crucial for the success of the discipline in practice. However, currently available tools used in organizations focus on...
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ISBN:
(纸本)9780769550855
Adequate tool support for Enterprise Architecture (EA) and its respective management function is crucial for the success of the discipline in practice. However, currently available tools used in organizations focus on structured information neglecting the collaborative effort required for developing and planning the EA. As a result, utilization of these tools by stakeholders is often not sufficient and availability of EA products in the organization is limited. We investigate the integration of existing EA tools and Enterprise Wikis to tackle these challenges. We will describe how EA initiatives can benefit from the use and integration of an Enterprise Wiki with an existing EA tool. Main goal of our research is to increase the utilization of EA tools and enhance the availability of EA products by incorporating unstructured information content in the tools. For this purpose we analyze task characteristics that we revealed from the processes and task descriptions of the EA department of a German insurance organization and align them withtechnology characteristics of EA tools and Enterprise Wikis. We empirically evaluated these technology characteristics using an online survey with results from 105 organizations in previous work. We apply the technology-to-performance chain model to derive the fit between task and technology characteristics for EA management (EAM) tool support in order to evaluate our hypotheses.
Polynomials are widely used in scientific computing and engineering. In this paper, we present an accurate and fast compensated algorithm to evaluate bivariate polynomials with floating-point coefficients. this algori...
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ISBN:
(纸本)9781509050819
Polynomials are widely used in scientific computing and engineering. In this paper, we present an accurate and fast compensated algorithm to evaluate bivariate polynomials with floating-point coefficients. this algorithm is applying error free transformations to the bivariate Horner scheme and sum the final decomposition accurately. We also prove the proposed algorithm's accuracy with forward error analysis that the accuracy of the computed result is similar to the result computed by the bivariate Horner scheme in twice the working precision. Numerical experiments illustrate the behavior and it has higher efficiency than the bivariate Horner scheme implemented in double-double library.
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