A short note on extractive foraging behavior in gray snub‐nosed monkeys

Extractive foraging (EF) involves the exploitation of hidden or embedded foods, generally any food that is not visible to the naked eye. Therefore, EF is particularly important for survival in marginal habitats as it provides seasonal fallback foods in low food availability seasons. Although many studies consider primates’ EF behavior and category, colobine species are usually categorized as non‐extractive foragers and few studies quantitatively examine their EF behavior. In this study, we examined the EF behavior of one colobine species, the gray snub‐nosed monkey (Rhinopithecus brelichi), at Yangaoping in Fanjingshan National Nature Reserve, Guizhou. We recorded 6 categories of EF behaviors. The most frequently sought‐out foods were seeds, young bamboo and invertebrates. Extracted foods accounted for an average of 26.02% of feeding records. As the monkey engages in little EF behavior in the winter when the food availability is low, these results seem to do not support the hypothesis that EF serves to secure additional resources during lean times in marginal or seasonal habitats. According to these findings, we suggest R. brelich should be considered as an extractive forager. Our study also highlights the need for increased representation of colobines in the EF literature to better inform the discussion concerning its link to primate brain evolution.     

商务智能在物流应用中的探讨

随着我国经济发展及对外交流的增加,商务智能作为一项新兴技术已成为物流管理中最有利的工具之一。本文从商务智能含义、技术支柱、物流企业对商务智能的需求等几个方面,阐述了商务智能在物流企业管理和决策中的作用和实际应用状况。     

森林火灾智能预报系统的设计和应用

从导致森林火灾的几个重要因素,即温度、湿度、风速和大气压力等出发设计了一台智能检测仪表,它能实时地检测林区某点的上述几个参数,并通过计算机网络定时地传送到中央处理机,中央处理机与各处的仪器相连,每个仪器测得的数据能储存在中央处理机内,中央处理机按照用户的要求进行分析处理,绘制出各类参数与时间的关系曲线图在显示器上显示或从打印机上打印.根据历史参数设置报警点.当上述各类参数达到警界限时,报警系统发出报警信号.系统中所有信号的采集、传输、处理等各项功能均通过适当的软、硬件完成.硬件部分由检测仪、通信系统和中央处理机三大部分构成,并结合软件来实现监测和预报工作.     

企业竞争情报系统绩效评价的模糊综合评价

竞争情报系统绩效评价作为竞争情报的必备环节,在竞争情报过程中起着重要的作用,因此研究竞争情报系统绩效评价具有重要的意义。本文首先对模糊综合评价方法进行了概述,然后给出了企业竞争情报系统绩效评价的指标体系,最后使用模糊综合评价法对企业竞争情报系统执行了具体的评价。     

人工智能在机械故障诊断中的应用

介绍了机械故障中应用的各种人工智能诊断方法及理论，包括专家系统、人工神经网络等，根据二者在机械故障诊断中的应用情况分析了它们的优缺点，并以专家系统在汽车故障诊断中的应用为例，阐述了专家系统在实际应用中存在的问题。     

Research and Development of Evaluation system Based on Neural Network and Expert System

As a single system of evaluation, both neural network (NN) and traditional expert system (ES) have many limitations. Developing evaluation system integrating NN with ES is an available way to offset their weakness. With black-box module, a new frame of evaluation system is developed in relative independent method. Then, a way of programming and realizing evaluation system, which is more close to human thinking, is put forward.     

中国竞争情报系统研究综述

通过对国内竞争情报系统研究分析,综述竞争情报系统研究主要视角包括竞争情报系统构建机构、基础理论和基本理论问题、现代信息技术在竞争情报系统应用、竞争情报系统设计与应用、竞争情报系统评价指标体系与效用评估研究,分析竞争情报系统研究趋势,指出竞争情报系统研究存在的问题,并提出了相关对策。     

基于本体的玉米领域知识表示构建研究

传统的人工智能采用不同的建模方法、开发工具进行知识表示,使得各种知识表示之间缺乏互操作性,本体的引入解决了这一问题。对基于本体的知识表示方法进行了探索,对玉米领域知识本体进行了构建。结果表明,本体可有效地解决复杂知识间表达的异构问题,使计算机对信息的理解升至为语义层次,利于玉米智能系统的研制。     

企业竞争情报的内容及获取途径研究

具有稳定和多元的情报获取途径是企业成功的基础,从企业自身、企业竞争对手、企业环境三方面详细的讨论了竞争情报的内容及其获取途径。     

网络环境下科技情报人员的继续教育问题

现代信息技术的发展和科技进步的日新月异,对科技情报人员提出了更高的要求。传统的服务理念及方法已无法满足广大用户的需要,继续教育问题迫在眉睫。要通过脱产、半脱产或不脱产等形式加强对科技情报人员的继续教育,提高他们的理论水平和为用户服务的技能。