钻铣镗类加工中心的概念设计与方案评估研究

提出一种基于多色集合理论的机械产品概念设计的推理算法．采用一个有效的多目标方案评估算法，综合应用了层次分析法、模糊规则和神经网络，对满足需求的方案集进行评估和优化选择，得出满足需求的最优方案．以钻铣镗类加工中心的方案设计为例，用文中方法进行概念设计，得到了能满足需求的方案集和最优方案。     

A decision support system for product design in concurrent engineering

Compared with the traditional sequential design method, concurrent engineering is a systematic approach to integrate concurrent design of products and their related processes. One of the key factors to successfully implement concurrent engineering is information technology. In order to design a product and its manufacturing process simultaneously, information on product features, manufacturing requirements, and customer demands must be processed while the design is concurrently going on. There is an increased understanding of the importance of the correct decisions being made at the conceptual design and development stages that involve many complex evaluation and decision-making tasks. In order to promote the efficiency in concurrent product development, appropriate evaluation and decision tools need to be provided. In this paper, the characteristics of fuzzy, multi-stage evaluation and decision making in concurrent product development process are analyzed and a decision support system for product design in concurrent engineering is presented. An example is given to illustrate the application of the system.     

我国生乳国家标准主要指标对比

本文通过概述我国生乳国家标准的历史演变过程,整理分析我国1977-2010年生乳国家标准,从范围、定义、技术要求等几个方面进行比较,分析研究各指标变化情况,并比较我国生乳国家标准与世界上几个国家生乳标准之间的差异,为我国下一次生乳国家标准修订提供借鉴。     

应用多色集合理论完成加工中心的概念设计

提出基于多色集合理论的机械产品概念设计的推理算法。多色集合中元素及集合本身可通过统一颜色、个人颜色来描述,用它们也能很好地描述功能方法树中层与层之间的关系,因而用多色集合理论可以作为功能分解和方案求解的推理基础,实现机械产品的概念设计。多色集合理论方法也可方便地用于计算机编程。以钻铣镗类加工中心为对象进行了方案设计,得出了满足需求的方案集。     

Microservices priority estimation for IoT platform based on analytic hierarchy process and fuzzy comprehensive method

World Wide Web - The microservice architecture shows great potentials in business solutions by providing agile response to emerging demands, which is believed a fundamental shift in innovative...     

无线传感器网络定位测量模型方法研究

首先论述了面向无线传感器网络定位技术的基本原理,对常见的定位方法做了综述;分类研究了无线传感器网络中常见的定位模型和测量方法,对定位技术中应用到的基本测量技术和测量模型以及可能存在的误差进行了分析;最后对衡量当前存在的定位系统和定位方法的标准做了讨论,并总结了定位系统优劣的基本评价标准。     

基于纳米材料的电化学适配体传感器在食品重金属检测中的研究进展

重金属是食品和环境中的一类剧毒污染物,易引起食源性疾病,对人体造成不可逆损伤。传统的检测方法耗时长、成本高,因此迫切需要开发食品中重金属的快速检测技术。基于纳米材料的电化学适配体传感器具有快速、高灵敏度、特异性强等优点,在重金属快速检测领域具有广阔的应用前景。本文总结了金属纳米材料（如金纳米粒子）、金属氧化物（Fe₃O₄纳米颗粒）、碳纳米材料（如碳纳米管、石墨烯）等材料的性质,并对基于纳米材料的电化学适配体传感器在重金属（主要是Pb2+、Hg2+、As3+、Cd2+）检测中的应用进行了综述,以期为重金属检测相关研究提供参考和启发。     

Reliable Data Analysis through Blockchain based Crowdsourcing in Mobile Ad-hoc Cloud

Mobile Networks and Applications - Mobile Ad-hoc Cloud (MAC) is the constellation of nearby mobile devices to serve the heavy computational needs of the resource-constrained edge devices. One of...     

传感器网络中一种基于迭代流形学习的节点定位算法

无线传感器网络(WSN)作为一种全新的信息处理平台,在各种应用领域有着广阔的应用前景,而网络自身定位技术是这些应用的基本支撑技术.首先,简要介绍了流形学习算法的基本概念和WSN节点自身定位模型,提出了一种基于流形学习算法的迭代MDS定位算法(IMDS).该算法中节点应用MDS技术从节点自身及其邻居节点的距离关系提取2维空间上的局部映射(map),并计算邻居节点在局部映射上的相对坐标,通过对局部映射的拼接可以获得网络的全局相对映射,再根据参考节点的坐标来对参考节点进行坐标匹配,从而通过平移,旋转以及镜像等几何方法来估计未知节点的绝对坐标.仿真试验表明,采用IMDS算法定位误差比dwMDS要降低大约15%,运算速度提高大约20%.     

A long short-term memory-based model for greenhouse climate prediction

Greenhouses can grow many off-season vegetables and fruits, which improves people's quality of life. Greenhouses can also help crops resist natural disasters and ensure the stable growth of crops. However, it is highly challenging to carefully control the greenhouse climate. Therefore, the proposal of a greenhouse climate prediction model provides a way to solve this challenge. We focus on the six climatic factors that affect crops growth, including temperature, humidity, illumination, carbon dioxide concentration, soil temperature and soil humidity, and propose a GCP_lstm model for greenhouse climate prediction. The climate change in greenhouse is nonlinear, so we use long short-term memory (LSTM) model to capture the dependence between historical climate data. Moreover, the short-term climate has a greater impact on the future trend of greenhouse climate change. Therefore, we added a 5-min time sliding window through the analysis experiment. In addition, sensors sometimes collect wrong climate data. Based on the existence of abnormal data, our model still has good robustness. We experienced our method on the data sets of three vegetables: tomato, cucumber and pepper. The comparison shows that our method is better than other comparison models.