Relevance feature mapping for content-based multimedia information retrieval

This paper presents a novel ranking framework for content-based multimedia information retrieval (CBMIR). The framework introduces relevance features and a new ranking scheme. Each relevance feature measures the relevance of an instance with respect to a profile of the targeted multimedia database. We show that the task of CBMIR can be done more effectively using the relevance features than the original features. Furthermore, additional performance gain is achieved by incorporating our new ranking scheme which modifies instance rankings based on the weighted average of relevance feature values. Experiments on image and music databases validate the efficacy and efficiency of the proposed framework.     

Analysis of the unloading performance considering dimple–flexure behavior in HDD

Currently, almost all hard disk drives (HDDs) have adopted a loading/unloading mechanism that increases their recording capacity and improves their reliability. However, these mechanisms still create a few scratches or defects in the loading/unloading zone. Slipping at the dimple–flexure interface was recently reported as one of the causes. In this research, we first analyzed the relative behavior of dimple–flexure based on fretting wear marks. We determined that the dimple–flexure behavior included both slipping and rotating motion simultaneously. We then verified the distinct slipping and rolling phenomenon at the moment of ramp contact using finite-element method (FEM) analysis. An experimental setup was constructed, and an unloading experiment was carried out to obtain the ramp contact characteristics corresponding to various unloading velocities. Based on the verified FEM, the characteristics of dimple–flexure relative behavior were investigated for various suspension design parameters, ramp contact characteristics, and unloading velocities. A higher ramp contact force and shorter contact duration resulted in larger slip displacements and roll angles between the dimple and the flexure. Finally, we analyzed the unloading performance of an HDD for various design parameters using quasi-static approximation while considering the relative behavior between the dimple and flexure. The quasi-static analysis indicated a change of approximately 15?% in the flying height at an unloading velocity of 40?in. per second when the relative motion between the dimple and flexure was considered during the unloading process. Even, slider–disk contact occurred at an unloading velocity of 50 ISP.     

考虑退货为决策变量相关函数的易逝品协调模型

在零售市场中,来自顾客的产品退货是一个普遍现象,它的产生同时影响着生产商与销售商,进而影响整个供应链系统.本文假设顾客退货量是市场需求以及零售价等决策变量的相关函数,在单周期供应链中考虑线性需求情形下的定价模型和最优订货策略,并给出了模拟算例.     

合肥城市高速铁路走向研究

高速铁路已成为区域大城市之间联系的重要纽带.高速铁路市区段的建设对城市的发展将产生深远影响.基于合肥城市发展的特征,重点从城市空间结构的视角,对合肥城市高速铁路走向进行多方案比较研究,并提出适宜的方案.进而指出,高速铁路市区段的选线应与城市规划相协调,引导城市良好空问结构的形成.     

Symbol error rate of selection amplify-and-forward relay systems

Cooperative diversity schemes significantly improve the performance of wireless networks by transmitting the same information through several nodes. The amplify-and-forward (AF) relaying method is one of the most attractive cooperative diversity schemes due to its low complexity. Selection AF relaying has recently been proven to achieve the same diversity order as and lower outage probability than all-participate relays. In this letter, we present an asymptotic analysis of the symbol error rates of a selection AF network, and compare it with the conventional all-participate scheme     

一种开放式综合安全管理平台的设计与实现

如何将各管一方的安全管理工具整合在一起并能够集成到网络管理平台上,是形成全面有效的安全管理解决方案之一。本文提出了一种开放式的综合安全管理平台的设计方案,即所有支持SNMP网络管理协议的安全产品均可在此平台上进行整合并建立具有互操作性的统一环境。该平台针对若干安全产品巳实现了集成管理。     

应用于回归神经网络的基于梯度的典型算法的归纳与分析

首先给出了分层全回归神经网络的一个综合形式及其状态方程,然后归纳了几种典型的基于梯度的回归神经网络训练算法,描述了算法的具体步骤,并分析比较了算法特点及相互联系,最后指出对回归神经网络尤其是其训练算法研究存在的难点及研究重点。     

旅游行业管理信息集成平台研究

旅游业作为直接面对消费者的行业，近年得到了迅猛的发展，旅游业的规范管理是旅游业发展的基本保证，而规范管理则需要以信息渠道畅通与共享为前提，分析了旅游行业信息化建设的现状，从旅游行业管理的角度，提出了基于计算机集成技术的旅游行业管理信息集成平台的架构，并分析了旅游行业管理信息集成平台的功能和应用关键技术。