回转器基本特性分析及其实现方法

在有源RC网络综合中,常用电阻、电容和运算放大器的综合。电路微型化的趋势和固件的出现,导致使用回转器和理想变压器而不使用电感来进行综合。在分析了回转器原理及其基本特性的基础上,用回转器模拟浮地电感或接地电感,以及用模拟电感来实现二阶带通与低通电路。并研讨了用运算放大器与负电阻来实现回转器网络的方法。     

无线白组织网中VoIP性能研究

目前,VoIP技术及其业务迅速发展,在无线自组织网络中有广泛的应用,有必要对于VoIP在无线自组网中的传输进行分析研究。利用NS-2作为仿真工具对G.711编码标准下多跳无线自组织网中VoIP的传输进行仿真,使用802．11MAC层协议和AODV路由层协议。实验结果表明,无线自组织网络环境下voIP系统性能（包括丢包率、时延等）受到多跳影响。     

Green cell association for multimedia transmission in cognitive heterogeneous networks

With the introduction of low‐powered pico/femto‐base stations and relay nodes into the macro‐cell, recent heterogeneous networks provide an attractive approach for future wireless communication. Although it may achieve better coverage and higher capacity, several problems remain unsolved before practical deployment. For example, how to select the proper cell from neighbor low‐powered cells and then occupy the radio resource without interference on macro‐users is both important and challenging, especially for rigorous multimedia applications. The traditional cell access algorithms and quality‐control parameters such as delay or throughput no longer suit well in this complex environment. An effective approach should be pursued. In this paper, we investigate this interesting cell association problem and propose a complete green resolution on the basis of thorough discussions about the multimedia transmission under these concerns. Cognitive radio is introduced to share spectrum between macro‐cell and low‐powered cells while securing the transmission of authorized macro‐users. We also bring forth the concept of ‘interference balance’ to better manage the overall interference and energy consumption in the network. Restless bandit model is formulated on the basis of channel state, data rate, interference control, and the carefully chosen intra‐refreshing rate for multimedia traffic. Then the cell association scheme is designed to be efficient and practical because of the simple index property of our model output. Simulation results have proven the performance of our proposed resolution compared with existing algorithms on interference constraint, multimedia distortion, and overall network energy consumption balance. Copyright © 2013 John Wiley & Sons, Ltd.     

基于地理位置的社交网络信息数据类别分析

移动社交网络的应用已经成为是近几年来应用的热点。现有的基于地理位置的社交网络信息数据有自身的特点,分别论述了基于地理位置的社交网络的信息来源,几种基于地理位置的社交网络所形成的数据集以及其数据类型。     

Implementation of an efficient extreme learning machine for node localization in unmanned aerial vehicle assisted wireless sensor networks

Accurate node localization in wireless sensor networks (WSNs) is an essential for many networking protocols like clustering, routing, and network map building. The classical localization techniques such as multilateration and optimization‐based least square localization (OLSL) techniques estimate position of unknown node (UN) from the distance measured between all anchor nodes (ANs) and UNs. On the other hand, node localization using fixed terrestrial ANs suffers from poor localization accuracy because the ground to ground (GG) channel link is not reliable. By contrast, the mobile anchor deployed in unmanned aerial vehicle (UAV) provides high localization accuracy through reliable air to ground (AG) channel link. Still, the nonlinear distortion introduced in the wireless channel makes the distance measurement noisy. This noisy distance measurement also limits localization accuracy of classical localization techniques. Hence, the highly nonlinear artificial neural network (ANN) models such as multilayer perceptron (MLP) models can be applied effectively for node localization in UAV‐assisted WSNs. However, the MLP suffers from slow training speed, which limits its usage in real‐time applications. So, the extreme learning machine (ELM) is found to be a better alternative because it works on empirical error minimization theory, and its learning process requires only a single iteration. The detailed simulation analysis supports the proposed ELM localization scheme in terms of both localization accuracy and computational complexity.     

全光通信网安全问题初探

本文介绍了全光通信网(AON)的概念。研究了全光网络中光层可能遭到的两种网络攻击:服务玻坏和网络窃听以及对网络通信安全的影响。提出了全光网络安全的考虑方法和可以采取的安全策略。     

Complex Elucidation of Cells-of-Origin in Pediatric Soft Tissue Sarcoma: From Concepts to Real Life,Hide-and-Seek through Epigenetic and Transcriptional Reprogramming

Soft tissue sarcoma (STS) comprise a large group of mesenchymal malignant tumors with heterogeneous cellular morphology, proliferative index, genetic lesions and, more importantly, clinical features. Full elucidation of this wide diversity remains a central question to improve their therapeutic management and the identity of cell(s)-of-origin from which these tumors arise is part of this enigma. Cellular reprogramming allows transitions of a mature cell between phenotypes, or identities, and represents one key driver of tumoral heterogeneity. Here, we discuss how cellular reprogramming mediated by driver genes in STS can profoundly reshape the molecular and morphological features of a transformed cell and lead to erroneous interpretation of its cell-of-origin. This review questions the fact that the epigenetic context in which a genetic alteration arises has to be taken into account as a key determinant of STS tumor initiation and progression. Retracing the cancer-initiating cell and its clonal evolution, notably via epigenetic approach, appears as a key lever for understanding the origin of these tumors and improving their clinical management.     

基于改进YOLOv7的钢材表面缺陷检测

钢材表面缺陷对于钢材行业来说是一个巨大的挑战。针对传统的钢材缺陷检测方法存在着效率低、检测精度不高等问题,基于YOLOv7设计了一种AFSD-YOLOv7模型进行实时的钢材表面缺陷检测。首先,在YOLOv7模型中使用一种轻量化卷积结构替换标准卷积结构,,以加速模型的推理过程;然后采用快速空间金字塔池化结构替换原始空间金字塔池化结构,以加速网络的特征提取过程;最后添加改进的ECA-Net注意力机制,以提升模型检测精度。实验结果表明,AFSD-YOLOv7能够对钢材缺陷进行有效识别,相比YOLOv7模型,计算量减少了54.8%,mAP提高了3.2%,对于钢材表面缺陷检测具有实际应用价值。     

NEAX61Σ交换机利用现有的资源提高接通率的两种方式

介绍了灵活运用NEAX61Σ交换机现有的软硬件资源 ,修改adc和rlst数据后能使用语音信箱的有关功能 ,进而提高落地接续接通率的两种方法。     

用于绝缘子故障检测的CycleGAN小样本库扩增方法研究

在深度学习的训练中,绝缘子检测需要大量的故障绝缘子,而实际难以获得大量故障绝缘子数据。生成对抗网络为扩增训练样本提供了可行的解决办法。在循环一致性生成对抗网络(CycleGAN)结构上补充缺陷绝缘子样本,通过更改损失函数来优化模型,将正向生成器生成的图像,输入到反向生成器,保持样本整体轮廓的同时,增加了差异性。将改进的CycleGAN模型与其他GAN模型在SSD目标检测方法中进行比较,结果表明改进的CycleGAN扩增数据集的方法相较于其他扩增方法在绝缘子掉串检测识别率上有明显提升。