A 0.5–1 GHz single stage linear-in-decibel VGA with 80 dB gain range in 0.18 μm CMOS

Communication systems require a wide gain range. For example the code-division multiple access system (CDMA) requires more than 80 dB of gain range so that, many variable gain amplifiers (VGAs) must be used, resulting in high power consumption and low linearity because of VGA non-linearity factors. In this paper, a one-stage VGA in 0.18 μm technology is presented. The VGA based on the class AB power amplifier is designed and simulated for a high linearity and an 80 dB tuning range. For the linear-in-decibel tuning range, transistors in sub-threshold region is used. The current control circuit of the VGA changes gain continuously from ?68 to 18 dB at 0.5 GHz and ?60 to 20 dB at 1 GHz with gain error of less than 2 dB. The power consumption enjoys a highest value about 13.5 mW in the maximum gain and P1dB is also about ?3.4 dBm at 0.5 GHz and 2.2 dBm at 1 GHz.     

A new design of optical add/drop filters and multi-channel filters based on hexagonal PhCRR for WDM systems

Photonic Network Communications - In this research, using photonic crystal dielectric rods with a triangular lattice constant, a photonic crystal ring resonator (PhCRR) has been designed in order...     

Dependability analysis for characterizing Google cluster reliability

Cloud solutions are emerging as a new suitable way of transforming traditional IT data centers to highly available and reliable computing resources for hosting critical applications and data. However, software and hardware failures are a common problem in cloud datacenters that can lead to harmful damages. In this paper, we analyze the physical server failures in the Google cloud datacenter. We study the Google cluster properties to investigate the relationship among physical servers' failure rate and jobs failure events. The failure rate of Google cluster executed jobs and servers is taken into consideration during a 29‐day period. We present a reliability model for Google cluster physical machines using the continuous time Markov chains according to this observation. We attempt to analyze the obtained model through SHARPE software packages to improve the understanding of failure events in the Google cloud cluster. We also explore the cluster availability based on parameters like steady‐state availability, steady‐state unavailability, mean time to failure, and mean time to repair in the Google cluster.     

A nonlinearity error calibration technique for pipelined ADCs

This paper presents a digital background calibration technique that measures and cancels offset, linear and nonlinear errors in each stage of a pipelined analog to digital converter (ADC) using a single algorithm. A simple two-step subranging ADC architecture is used as an extra ADC in order to extract the data points of the stage-under-calibration and perform correction process without imposing any changes on the main ADC architecture which is the main trend of the current work. Contrary to the conventional calibration methods that use high resolution reference ADCs, averaging and chopping concepts are used in this work to allow the resolution of the extra ADC to be lower than that of the main ADC.     

在新兴便携式应用中集成Li-xx充电管理元件

新兴的便携式产品在提高功能与性能的同时，体积变得越来越小巧。因此，OEM 厂商希望能够缩小包括电池充电管理等电源管理功能所需要的空间。本文将探讨高度集成充电控制元件带来的挑战及优势，同时将详细说明该领域中的最新产品与 IC 组件。充电控制中的3“C”充电控制与管理是所有采用了可充电电池的便携式设计中的关键功能。先进的设计技术需确保满足以下3项关键要求。电池安全 (Cell Safety)此项要求不单单限于满足电池制造商建议的、在充电最后阶段±1%的电压调整容限要求，而且还包含了其他功能，如：可安全处理深放电电池的预处…     

Cholesterol and fat contents of Spanish commercial pork cuts

A study was carried out to determine the fat and cholesterol contents of several commercial pork cuts as function of sex. Fat and cholesterol content ranged from 2.7% and 57 mg/100 g in loin to 30.3% and 116 mg/100 g in dewlap. The higher the fat content the higher was the cholesterol content. Sex did not influence fat content and the fat/cholesterol ratio, but cholesterol content was higher in females than in males.     

New evolution in two-way relay networks based on physical layer network coding

Telecommunication Systems - In this paper, a physical-layer network coding (PNC) method is offered for a two-way relay network with spatial modulation (SM) for source node and relay node. For this...     

CPTR: conditional probability tree based routing in opportunistic networks

In opportunistic networks due to the inconsistency of the nodes link, routing is carried out dynamically and we cannot use proactive routes. In these networks, nodes use opportunities gained based on store-carry-forward patterns to forward messages. Every node that receives a message when it encounters another node makes decision regarding the forwarding or not forwarding the node encountered. In some previous methods, the recognition of whether encounter with current node is considered as an appropriate opportunity or not has been carried out based on the comparison of the probability of carrier node and the node encountered. In these methods, if the message is delivered to the encountered node, a better opportunity would be lost. To fight with this challenge we have posed CPTR method by using conditional probability tree method through which in addition to the probability of the delivery of carrier and encountered nodes’ message delivery, the opportunities for after encounter will be involved in messages’ forwarding. Results of simulation showed that the proposed method can improve the ratio of delivery and delay of message delivery compared to other similar methods in networks with limited buffer.     

Joint routing and channel assignment using online learning in cognitive radio networks

Cognitive radio networks (CRNs) are the solution for the problem of underutilizing the licensed spectrum for which there are more requests in the last couple of decades. In CRNs, Secondary users (SUs) are permitted to access opportunistically the licensed spectrum owned by primary users (PUs). In this paper, we address the problem of joint routing and channel assignment for several flows generated by source SUs to a given destination. We consider a more realistic model based on Markov modulated Poisson process for modeling the PUs traffic at each channel and the SUs try to exploit short lived spectrum holes between the PUs packets at the selected channel. The SUs want to cooperatively minimize the end-to-end delay of source SUs flows meanwhile the quality of service requirements of the PUs would be met. To consider partial observation of SUs about PUs activity at all channels and quick adaptation of SUs decisions to environment changes and cooperative interaction of SUs, we use decentralized partially observable markov decision process for modeling the problem. Then, an online learning based scheme is proposed for solving the problem. Simulation results show that the performance of the proposed method and the optimal method is close to each other. Also, simulation results show that the proposed method greatly outperforms related works at control of interference to the PUs while maintains the end-to-end delay of SU flows in a low level.