体验式特色生鲜农产品营销模式——“山水食客”

体验式营销提供的不只是让顾客感受产品和服务,更是给顾客一种感觉,一种情绪上、体力上、智力上甚至精神上的体验。每个人都有圈子,既是产品的受用者,又是传播者,这就是社会化传播——口碑营销。将农产品引入到这个圈子里,利用电商这一手段来扩大市场,可以将生鲜农产品市场的雪球越滚越大。     

均温型(JW)低压甲醇合成塔内件设计及使用

阐述了低压均温甲醇合成塔内件开发设计的基本情况，利用计算机模拟软件程序进行计算，并对合成塔性能，生产指标和经济效益进行比较。     

低温过程多流股换热器网络综合

多流股换热器主要应用在低温过程领域.本文针对低温过程换热器网络的特点,基于流股虚拟温度的T-H图提出了利用遗传/模拟退火算法进行低温过程换热网络综合的方法.低温过程传热温差较小,在流股温差贡献值的选取上充分考虑了流股热力学平均温度的影响,使其取值更加合理;冷公用工程的利用不同于常温换热网络,温度越低其相应的费用越高,通过采用分批-逐次利用的原理分配冷公用工程,得到冷公用工程的温位及相应的匹配位置,能够有效地利用过程系统的传热温差,降低换热网络的操作费用;该方法利用虚拟T-H图法产生初始解,具有决策变量少,产生初始解均为可行的特点,能显著提高遗传模拟退火算法的计算效率,并适用于不同材质、不同传热膜系数网络的设计和优化;以国内某乙烯装置脱甲烷塔预冷系统综合为实例进行了分析.     

Preparation of monodisperse water-in-oil-in-water emulsions using microfluidization and straight-through microchannel emulsification

Water-in-soybean oil-in-water (W/O/W) emulsions with an internal water phase content of 10–30% (vol/vol) were prepared by a two-step emulsification method using microfluidization and straight-through microchannel (MC) emulsification. A straight-through MC is a silicon array of micrometer-sized through-holes running through the plate. Microfluidization produced water-in-oil (W/O) emulsions with submicron water droplets of 0.15–0.26 μm in average diameter (d _av,w/o) and 42–53% in CV (CV_w/o) using tetraglycerin monolaurate condensed ricinoleic acid esters (TGCR) and polyglycerin polycondensed ricinoleic acid esters (PGPR) as surfactants dissolved in the oil phase. The d _av,w/o and viscosity of the W/O emulsions increased with an increase in internal water phase content. Straight-through MC emulsification was performed using the W/O emulsions as the to-be-dispersed phase and polyoxyethylene (20) sorbitan monooleate (Tween^® 80) as a surfactant dissolved in the external water phase. Monodisperse W/O/W emulsions with d _av,w/o/w of 39.0–41.0 μm and CV_w/o/w below 5% were successfully formed from a straight-through MC with an oblong section (42.8×13.3 μm), using the TGCR-containing systems. The d _av,w/o/w of the monodisperse W/O/W emulsions decreased as the internal water phase content increased because of the increase in viscosity of the to-be-dispersed phase. Little leakage of the internal water droplets and no droplet coalescence or droplet break-down were observed during straight-through MC emulsification.     

无关性判别保局算法及其在人脸识别中的应用

特征提取是人脸识别过程中的一个重要步骤,是人脸识别算法有效性的关键。提出了一种基于无关性判别保局的特征提取算法,并应用于人脸识别。基于保局投影算法的人 脸识别是一种有效的人脸识别算法,但它只考虑了数据的局部性,没有考虑类别信息,也没有考虑所提特征之间的相关性,现有的改进算法虽然考虑了类别信息,但是没有考虑到 类间信息。本文算法使得所提特征之间相互无关,这样降低了数据冗余,同时考虑到类别信息,使得投影后的类间区分度加强了。实验结果验证了算法的正确性和有效性,比传统 算法有较好的识别性能。     

医院计算机网络需适应现代医学的发展

随着时代的不断进步,计算机网络技术在远程医学、多所医院通过网络相互进行交流和医疗技术上的相互探讨研究上发挥着重要作用。因此,医院对计算机网络技术的要求越来越高。本文重点阐述计算机网络技术如何适应现代医学领域的广泛发展。     

INTELLIGENT SELF-DEVELOPING AND SELF-ADAPTIVE ELECTRIC LOAD FORECASTER BASED ON TYPE-2 FUZZY BAYESIAN YING-YANG LEARNING ALGORITHM

In new advocated “smart grid” development, an electric load forecaster should possess high-level intelligence in order to handle higher uncertainty, indefiniteness, and variability on electric load demand. The intelligence is referred to as self-learning, self-adaptability, and the highest capability of handling various uncertainties, which the forecaster should possess. In this study, a novel methodology, self-developing and self-adaptive fuzzy neural networks using type-2 fuzzy Bayesian Ying-Yang learning algorithm (SDSA-FNN-T2BYYL) is proposed. Its novelty is that (1) the Bayesian Ying-Yang learning algorithm (BYYL) is used to construct a compact system structure automatically. (2) Further, a novel T2 fuzzy BYYL is presented, which integrates type-2 (T2) fuzzy theory and BYYL in order to achieve two objectives simultaneously: compact system structure and better handling of data uncertainty. (3) Because a training dataset cannot include all possible operation conditions, the system should be able to restructure continuously for good generalization. Consequently, a T2 fuzzy BYY split-and-merge algorithm is proposed. The proposed method is validated using a real operational dataset collected from a Macao electric utility. Simulation and test results reveal that SDSA-FNN-T2BYYL has superior accuracy for load forecasting over other existing relevant techniques.     

Neural network based mobile phone localization using Bluetooth connectivity

Location information is useful for mobile phones. There exists a dilemma between the relatively high price of GPS devices and the dependence of location information acquisition on GPS for most phones in current stage. To tackle this problem, in this paper, we investigate the position inference of phones without GPS according to Bluetooth connectivity and positions of beacon phones. With the position of GPS-equipped phones as beacons and with the Bluetooth connections between neighbor phones as constraints, we formulate the problem as an optimization problem defined on the Bluetooth network. The solution to this optimization problem is not unique. Heuristic information is employed to improve the performance of the result in the feasible set. Recurrent neural networks are developed to solve the problem distributively in real time. The convergence of the neural network and the solution feasibility to the defined problem are both theoretically proven. The hardware implementation of the proposed neural network is also explored in this paper. Simulations and comparisons with different application backgrounds are considered. The results demonstrate the effectiveness of the proposed method.     

Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks

This paper studies the decentralized control of multiple redundant manipulators for the cooperative task execution problem. Different from existing work with assumptions that all manipulators are accessible to the command signal, we propose in this paper a novel strategy capable of solving the problem even though there exists some manipulators unable to access the command signal directly. The cooperative task execution problem can be formulated as a constrained quadratic programming problem. We start analysis by re-designing the control law proposed in (Li et al. Neurocomputing, 2012), which solves the optimization problem recursively. By replacing the command signal with estimations with neighbor information, the control law becomes to work in the partial command coverage situation. However, the stability and optimality of the new system are not necessarily the same as the original system. We then prove in theory that the system indeed also globally stabilizes to the optimal solution of the constrained quadratic optimization problem. Simulations demonstrate the effectiveness of the proposed method.     

软件安全性残留风险分级评估的实例分析

评估软件安全性常用的方法有风险评估和基于可靠性模型的评估。基于上述二种方法提出了残留风险分级评估方法。该方法用失效强度和失效严重度来刻画软件的风险,较好地解决了由于测试数据按失效严重度分类后数据少而难以应用可靠性模型的问题,并用实例说明了新方法的可行性。