Applied Mechanics and Materials Vol. 145

Abstract: Job scheduling technology is one of the Hadoop platform’s key technologies, whose main function is to control the execute sequence of job and the distribution of computing resources, which directly relates to the Hadoop platform’s overall performance and system resources, usage. However, the existing job scheduling algorithms such as FIFO Scheduler, Fair Scheduler and Capacity Scheduler all have some defects. To overcome theses defects, this paper proposed a new algorithm Hadoop Greedy Scheduler Based on the Fair (HGSF). Firstly, the job pools are sorted by priority from high to low; pools in the same priority are sorted by their minimum requirements. Then their minimum requirements are met in turn. If have spare computing resources, it will be assigned to the job pool which has the highest priority and the minimum difference between the ideal requirement and the minimum requirement. Finally, the algorithm uses delay allocation strategy to improve the localization of the data for computing tasks. The experimental results testified the effectiveness of the proposed algorithm.

Abstract: Human-Computer Interaction is crucial for Instructional Software. It is significant to make Geometry Instructional Software understand geometric proposition described by natural language and construct geometric figure automatically. However, it is difficult for computer to accurately understand the flexible and variable geometric proposition because of the immaturity of Natural Language Processing Technology. This paper defines a restricted geometric proposition, presents a corresponding comprehension model based on ontology, and designs a matching algorithm for geometric relation pattern, finally transforms the restricted geometric proposition to geometric construction command sequence. The experiment results suggest that the average accuracy of understanding clauses of geometric proposition is almost to 88.9%, and the percentage of constructing correct geometric figure is to 82.5%.

Abstract: The traditional E-learning often offers the online examination to assess the learning effect of a student after completion of the online learning. Basically, this traditional learning assessment mechanism is a passive and negative assessment mechanism, which cannot provide an real-time learning warning mechanism for teachers or students to find out problems as early as possible (including such learning conditions as “absence of mind” resulting from poor learning stage or physical or psychological factor), and the post-assessment mechanism also cannot assess the learning effectiveness provided by the online learning system. This research paper attempts to acquire the electroencephalogram to analyze the characteristic frequency bands of the brainwave related to learning and formulate the learning energy for the learner at the time when the learner is reasoning logically via the proposed brain-wave detector based on the cognitive neuroscience. With the analysis of characteristic frequency bands, the physical and psychological conditions of an online leaner can be provided instantly for teachers for assessment. Given that the learning system is integrated into the proposed brainwave analytic sensing component, the system not only can provide learners an instant learning warming mechanism, but also help teachers and learning partners to further understand the causes of learning disorder of learners, and can also provide relevant learning members with timely care and encouragement.

Abstract: Understanding and fulfilling customer needs are well recognized as thecritical factor forsuccessful product. To resolve the trade-offs dilemma in multi-criteria decision making, we present aframework that integrates Kano model, FAHP and TOPSIS to assist decision makers in understandingcustomer requirements and help effectively rank products. By using Kano model analysis, it guidesthe prioritizing of multiple attributes, leading to higher customer satisfaction. To verify the proposedapproach forMCDM, an empirical case for ranking kitchen faucet designs is illustrated and validated.

Abstract: In recent years, due to the influence of global economic cycle and container ship size became larger, the shipping industry has encountered with many competitions and crisis. Especially in 2008, as the global economic crisis have caused major change in the micro-environment; it has influenced on difficulties of business expansion of the shipping industry, and then further extended to the profitability. However, there were differences on the management policy of the various corporations in the shipping industry, which the purpose of this study was to explore that whether there were significant changes on the financial performance indexes of these corporations in the pre and post of the global economic crisis. This study further seeks on whether the economic crisis would create significant differences on the profitability and financial structure ratio of the shipping industry. The object of study was on the shipping corporations that were stock market listed in Taiwan, which there were total of nine corporations. To explain the financial performance of the shipping industry, this study would select multi financial ratio as initial indexes, and divide into five aspects of Profitability, Asset Turnover Ability, Short-Term Repayment Ability, Stability, and Cash Utilization Ability. Among the financial performance that was established in this study, the main analysis has shown that corporations were mostly concern with their profitability in their financial performance. Other than that, under the global economic crisis, the shipping industry has increased their short-term repayment ability in order to respond with the reduction problem of the global trade.

Abstract: The objective of the present paper is to show that predictions of the conventional strain gradient theories do not coincide with some general physical expectations when large strains and geometry changes should be considered. As an alternative, it is proposed to use strain rate gradient theories of plasticity. One possible theory of this type is formulated as a formal modification of a strain gradient theory of plasticity. The problem of hollow sphere expansion at large strains is solved for both the strain gradient and strain rate gradient theories of plasticity. Comparison of these solutions reveals advantages of the strain rate gradient theory of plasticity for a class of problems.

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) technique is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. There are two main drawbacks with OFDM, the peak to average power ratio and its sensitivity to frequency errors. The signal peak to average power ratio reduction solution play an important role to improve performance of OFDM that peak occurs after symbols fed to FFT to produce time domain signal, adding signals up coherently. In This paper we proposes technique to reduce the PAPR using Huffman coding combined with selective interleaver as distortion less scrambling technique. We utilize the amount saved in the total bit rate by the Huffman coding to send the information of the selected interleaver and encoding table for accurate decoding at the receiver without reducing the effective throughput. Performed computer simulations have shown that the proposed scheme outperform the performance of most of the recent PAPR reduction techniques in most cases. By using this method 2.63 dB PAPR reduction is achieved.

Abstract: In this paper, we introduce a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the multi-chromosomal reversal median problem. We convert the large-scale genome into TSP maps at first. Then we use a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the problem. In our improved algorithm, we increase the search speed by implement multi-branch parallel search of ACO. Our extensive experiments on simulated datasets show that this median solver is efficient.

Abstract: Aimed at the current characteristics and the requirements of a aircraft tools workshop, the uncertainty and diversity of the market requires that the MES of the aircraft tools workshop has the ability of reconfiguration and reusability. Because the service oriented architecture(SOA) has the good characteristics of loose coupling, reusable service, standardized service interface, etc, the paper proposes a SOA-based reconfigurable manufacturing execution system(MES), the paper also puts forward the technical route of the construction and implementation of the SOA-based MES. Then, in order to overcome the current drawbacks of the existing algorithms for the function module of manufacturing resource planning, an improved hybrid effective general particle swarm optimization(GPSO) has been developed to solve the open shop scheduling problem(OSSP) which is abstracted from the scheduling problem of the aircraft tools workshop. Based on the optimization mechanism of the traditional particle swarm optimization(PSO), improved GPSO algorithm changes the method of initialization population and its crossover and mutation operations of GPSO. Several benchmark problems have been used to verify the feasibility and performance of the proposed algorithm. The results show that the proposed algorithm accelerates the convergence and improves the quality of the OSSP solution.

Abstract: This article combines traditional scheduling algorithms' characteristic with newly multiplexing method for stream media, integrates two kinds of multiplexing models with monopolizing buffer and sharing buffer, and an efficient statistical multiplexing strategy is proposed that is suitable for VBR real-time stream. This multiplexing strategy creates different weight formulas for two buffer levels respectively: in the first level non-loss multiplexing is carried on, and weight factor is calculated by data storage and arrival order from each channel, so who has the largest weight value will be dispatched at top priority; the second level is compatible non-loss with loss multiplexing, and weight equation is established by the importance as well as overflow of data, finally who has the smallest weight value will be dropped firstly. Through theoretical analysis and simulation test, it indicates that this kind of statistical multiplexing strategy which uses least buffer and does less harm to data can carry the maximum transport rate, thus is more advantageous in raising channel utilization.