The ABC Catering Services Ltd.——ABC食品供应服务公司

ABC Catering Services Ltd. has long recognized its needs to compete effectively in its key markets in the Pacific Rim. With ABC′s historical focus on delivering almost faultless service, comparatively little attention has been given to the supply chain cost of that delivery. However, the new kitchen at Seoul, wasoPen in 1997, added more workload to the company. Things have not been working well since then. The ABC Corporation realizes that it is necessary to reduce supply chain costs and to improve its operation efficiencY in order to retain and expand customer bane.     

Identity-based threshold decryption on access structure

For the applied limitation of the existing threshold decryption schemes based on the (t, n) structure, an identity-based threshold decryption scheme which can be applied on the access structure is proposed through designing a special distribution algorithm of the private key shares. The generation and distribution of private key shares, the encryption, the decryption and the combination are introduced in detail. The validity and security of the scheme are proved and analyzed. Comparisons with the existing schemes show that the proposed scheme is more flexible.     

Tool sequence optimization based on three logical modes of robot control via CPLEX optimization

Cluster tools have advantages of shorter cycle times, faster process development, and better yield for less contamination. The sequence of dual-arm cluster tools is a complex logistics process during the semiconductor production. Efficient use of cluster tools is naturally very significant to competitive fab operations. Generating an optimized sequence in a computationally efficient manner and assessing the quality of the requirements to improve the fab production are the key factors for semiconductor manufacturing productivity. The Petri net modeling is introduced to minimize the makespan of the process for the three different logical modes and select a better mode after comparing the makespan among the three logical modes. The tool sequence optimization problem is formulated as optimization firing transition sequences based on the Petri net and then the formulation is converted to be linearly solved by the branch-and-cut method in the standard commercial solver CPLEX. Special methods for the linear conversion are highlighted. Due to the limited calculation time requirement for the real production and the large scale of the problem, special methods for the efficiency tuning are applied according to the characteristics of the problem. Numerical testing is supported by one of the most advanced semiconductor enterprises and the computational results show significant improvement compared with the traditional manual sequence results.     

Poisson noise removal based on nonlocal total variation with Euler’s elastica pre-processing

An enhancement-based Poisson denoising method for photon-limited images is presented. The noisy image is firstly pre-processed for enhancing incomplete object information, and then it is denoised while preserving the restored structural details. A variational regularization model based on Euler’s elastica (EE) is proposed for image enhancement pre-processing. A nonlocal total variation (NLTV) regularization model is then employed in the second stage of image denoising. The above two optimization problems are solved by the alternating direction method of multipliers (ADMM). For Poissonian images with low image peak values, experiments demonstrate the validity and efficiency of the proposed method for both restoring geometric structure and removing noise.     

Neumann边界条件下图像复原的TSVD算法

研究了在Neumann边界条件假设下,一类具有对称点扩散函数的模糊图像复原问题,将此类问题转化为不适定的二维离散卷积问题,基于离散卷积算子的性质,提出了图像复原的TSVD算法.实验验证了算法的有效性.     

Semiparametric specification of the utility function in a travel mode choice model

We propose a semiparametric approach that can capture the nonlinearity of deterministic components of the utility functions in discrete choice models and demonstrate it by analyzing travel mode choice behaviour for an interregional trip. The proposed smoothing spline-based specification method can be used to make ex ante evaluations regarding the parametric specifications of the deterministic utility functions in discrete choice models.     

瞬变电磁法在隧道工程中的应用

文章简述了在复杂地形条件下、在隧道施工前和过程中,为了规避施工风险和预防施工过程中可能出现的地质灾害,运用瞬变电磁法勘察含水(泥)的断层、岩溶等水文地质问题;探讨了瞬变电磁法的理论基础、野外工作方法及资料处理.研究表明,瞬变电磁法勘探与其它常规电法相比,有许多突出的优点,可在复杂地形条件下工作,有良好的空间分辨性.实例中对瞬变电磁法勘察原理、工程实践和勘察效果作了详细介绍.     

Public Perception of Ocean Governance and Marine Resources Management in Taiwan

Understanding public perception of the oceans, and relationship between society and the sea is an important key to the sustainable management of marine resources. This research reports the first population-based survey on Taiwanese public knowledge, attitudes, and actions on marine-related issues. The stratified random sampling by county was completed with 1,120 telephone respondents from October to December 2010. More than 60% of the respondents have heard about global warming, sea-level rising, the Gulf of Mexico oil spill, the coral reef bleaching crisis, and Japan whaling fisheries. However, less than 20% of the respondents are aware of Taiwanese domestic marine policies, such as the Ocean White Paper. On resources conservation, 74.7% of the respondents support the bluefin tuna catches regulations and 76.6% agree that the shark fin fisheries will impact shark resources. Education and age are the major affecting variables for resource conservation and knowledge. Higher education and age 40–49 are most supportive of conservation measures. For marine recreational activities, 42.2% of the respondents can swim, and 44.2% of the respondents had not visited the beach in the previous year. The results suggest that the government could establish a specialized agency to strengthen its marine policy and take more actions to protect ocean environment and conserve marine resources. To encourage more Taiwanese to participate in ocean recreational activities, the government could build a safe facility for marine recreation, cooperate with the private sectors in education, and provide outreach to raise public awareness of the oceans.     

Effective method for knock signal denoising in internal combustion engine

Uncontrolled expansion of combustion wave in spark ignited internal combustion engine causes knock effect which seriously degrades efficiency and lifetime of the engine. Thus, accurate knock detection and control are essential for obtaining a desired performance from the engine. Usually, knock sensor is used to detect this phenomenon but it has limited accuracy especially at engine high-speed rotations because of natural vibration and external noises. In this study an effective method based on Non-Local Mean (NLM) algorithm has been proposed to improve the knock detection accuracy. This method is evaluated based on four different indicators and four engine cylinders. The results show 52.9 % improvement in knock detection. Also feasibility of real time execution of this method based on embedded hardware has been studied.