Modified Atmosphere Packaging Affects Ascorbic Acid, Enzyme Activity and Market Quality of Broccoli

Reduced ascorbic acid (RAA) content, total chlorophyll and green color retention, enzyme activities and texture changes were followed in broccoli spears packaged in polymeric film and nonpackaged during 96 hr storage (10°C). Concentrations within packages monitored by gas chromatography were (CO₂,) 8% and (0²) 10%. RAA retention, moisture content, total chlorophyll and color retention were greater in packaged broccoli. No differences were found between packaged and nonpackaged broccoli for ascorbate oxidase and peroxidase activities, or texture.     

Storage Changes of Fresh and Pasteurized Blue Crab Meat in Different Types of Packaging

We investigated pasteurization and storage of blue crabmeat in steel cans, aluminum cans, plastic cans, nonbarrier pouches, and barrier pouches. Fresh meat was packed in copolymer polyethylene/polypro-pylene cups, Saran® over-wrapped or vacuum skin packaged polystyrene trays, and nonbarrier pouches. Meat pasteurized in plastic and aluminum cans had better sensory and microbiological quality and longer shelf life than meat packed in steel cans. Oxygen-barrier pouches had the lowest quality and shortest shelf life. Nonbarrier pouches had product with quality similar to meat in steel cans, but with an extended shelf life. No packaging materials improved the microbiological shelf life of freshly cooked meat. Vacuum skin packaging resulted in improved sensory qualities of freshly cooked and picked meat.     

产品数据管理系统在绿色自行车设计中的应用

介绍自行车产品的研发设计,提出利用产品数据管理系统（PDM）进行绿色自行车产品设计的方案。     

物联网在现代物流业中的应用研究

物流是物联网较早落地的行业之一,物联网的应用从根本上提高了对物品生产、配送、仓储、销售等环节的监控水平。文中通过对物联网体系构架的分析,研究了物联网在物流业中的主要应用领域及其在物流业中的推广障碍,探讨了物联网在物流业中的应用发展趋势。     

面向再制造的逆向物流产品回收预测研究

在对再制造逆向物流网络系统构建的基础上,对系统中存在的不确定性因素进行分析。以产品回收数量预测为研究对象,利用灰色模型建立产品回收数量预测模型,并进行实例计算。结果表明该模型计算精度高,所需数据量少,有良好的应用性。     

面向全流程优化的选矿过程仿真系统研发

选矿过程的物流是各环节有机联系的纽带,进行选矿物流仿真实验研究对实现优化操作与优化控制生产具有重要的意义。面向选矿过程生产全流程的优化,为了对选矿全流程的物流与生产过程进行仿真,研究选矿过程各个单元的操作与控制对生产全流程指标的影响,建立了基于物料平衡和金属守恒原理的选矿过程物流模拟数学模型总体框架;设计开发了选矿过程物流仿真系统,包括实验软硬件平台结构、功能及其对控制与优化系统的通讯接口。该系统主要侧重其物流的仿真,及其操作与控制对选矿全流程指标(即金属回收率、精矿品位和产量等)的影响,从而为全流程优化的研究提供依据。在所开发的平台上开展了仿真实验研究,实验结果验证了所研发实验平台的有效性。     

A copper/polyimide Metal-base packaging technology

A unique substrate MCPM (Mitsubishi Copper Polyimide Metal-base) technology has been developed by applying our basic copper/polyimide technology.¹ This new substrate technology MCPM is suited for a high-density, multi-layer, multi-chip, high-power module/package, such as used for a computer. The new MCPM was processed using a copper metal base (110 × 110 mm), full copper system (all layers) with 50-μm fine lines. As for pad metallizations for the IC assembly, we evaluated both Ni/Au for chip and wire ICs and solder for TAB ICs. The total number of assembled ICs is 25. To improve the thermal dispersion, copper thermal vias are simultaneously formed by electro-plating. This thermal via is located between the IC chip and copper metal base, and promotes heat dispersion. We employed one large thermal via (4.5 mm^?) and four small vias (1.0 mm^?) for each IC pad. The effect of thermal vias and/or base metal is simulated by a computer analysis and compared with an alumina base substrate. The results show that the thermal vias are effective at lowering the temperature difference between the IC and base substrate, and also lowering the temperature rise of the IC chip. We also evaluated the substrate’s reliability by adhesion test, pressure cooker test, etc.     

基于并行遗传算法的配送路线求解

遗传算法(Genetic Algorithm)是一类借鉴生物界的进化规律演化而来的随机化搜索方法,已经成功运用在很多大规模的组合优化问题中。利用如今流行的并行计算机系统,对遗传算法进行并行化,可解决标准遗传算法的速度瓶颈问题。本文在MPI并行环境下,用C++语言实现了粗粒度模型的并行遗传算法。结合并行遗传算法的特点,提出了解决物流配送路线优化的策略以及给出相应的算法过程,并进行了有效验证。通过研究结果表明,与传统遗传算法相比,并行遗传算法提高了运算速度,降低了平均开销时间并且最小总路径值更理想。     

基于ZigBee和RFID技术的冷链无线监控系统

本文基于ZigBee和RFID技术,通过RFID标签和ZigBee组网,并结合远程网络传输技术,设计了食品冷链物流的温度无线实时监控系统。本系统使用无线电讯号识别特定目标并读写相关数据,具有低功耗、低成本和自组网的特点,可实现同时监控不同温度要求的蔬菜等食物品种。该冷链无线监控利用GPRS模块向冷链车报警,还能够最大限度的减少冷链物流运输过程中的损失。     

基于绿色证书交易机制的含风电场电力系统动态环境经济调度

为了促进风电消纳以及提高电力系统的经济性,构建基于绿色证书交易机制的含风电场电力系统多目标动态环境经济调度（DEED）模型,提出一种基于反向学习混沌搜索的OLCS-MOEA/D算法的DEED调度求解方法。首先,采用广义反向学习初始化种群提高种群多样性,并引入基于Logistic映射的混沌搜索算法以增强算法局部搜索能力。然后,为了验证算法的性能,采用标准测试函数F1—F7进行测试,同时将该算法对模型进行求解,获得了比其他算法范围更广和分布均匀的Pareto解集前沿。最后,对基于绿色证书交易机制的动态环境经济调度与传统动态环境经济调度进行结果对比分析,通过仿真算例验证该模型和算法的有效性和优越性。