Growth of Epitaxial (110) 0.7Pb(Mg<Subscript>1/3</Subscript>Nb<Subscript>2/3</Subscript>)O<Subscript>3</Subscript>-0.3PbTiO<Subscript>3</Subscript> Thin Films on r-Plane Sapphire Substrates by RF Magnetron Sputtering

The role of substrate temperature and substrate surface geometry in determining the crystal structure and crystallinity of 0.7Pb(Mg_1/3Nb_2/3)O₃-0.3PbTiO₃ (PMN-PT) thin films grown on r-plane sapphire substrates is examined. A 30-nm-thick amorphous PMN-PT seed layer deposited at 250°C and subjected to rapid thermal annealing at 850°C results in the formation of an epitaxial (110) perovskite PMN-PT growth template that can be used for subsequent growth of single-crystal (110) perovskite PMN-PT films at elevated temperature. The data show that single-crystal perovskite is promoted when the films nucleate with the \( \langle \overline{1} 11 \rangle \) PMN-PT direction parallel to the \( \langle 0\bar{2}21 \rangle \) Al₂O₃ direction.     

Investigation of physical and chemical property changes of ultra low-κ SiOCH in aspect of cleaning and chemical repair processes

The physical and chemical property changes of chemical vapor deposited ultra low-κ (ULK) SiOCH dielectric films due to different post ash treatments were studied by Auger electron spectroscopy, ellipsometric porosimetry and surface free energy evaluation. Structural changes in the ULK layer with respect to the carbon content were analyzed. Using a downstream and a reactive ion etch process for photo resist removal a reduction of carbon was observed. For different plasma gas chemistries the pore size reduction depends first on the process condition (downstream or reactive ion etch) and then on the gas. Differences in the pore size then also influence the amount of carbon depletion besides the influence of the gases used for photo resist processes. The damage at the surfaces was characterized by contact angle measurements providing both the polar and dispersive part of the surface free energy. The wettability of different solvents and repair chemicals was classified calculating their surface free energies and comparing those energies with the surface free energies of modified ULK surface. It is shown that especially reducing gases provide a surface free energy with a higher dispersive part compared to oxidative plasma treatments. Furthermore it was found that the wettability of repair chemicals and solvents strongly changes for reductive based strip processes with plasma exposure time, since a high variation of the surface free energy occur.     

A new call control scheme of Push-To-Talk system

For Push-To-Talk (PTT) system based on Public Mobile Data Network (PMDN), the end-to-end time delay is the key aspect of the user’s experience. The Push-Over-Cellular (POC) scheme defined by Open Mobile Alliance (OMA) is based on the VoIP phone model and use SIP protocol as the call control scheme. The call setup time delay in SIP may reach to several seconds, which is unacceptable for the PTT service. In this paper, we provide a new call control scheme for PTT system based on PLMN network. By combining the apriority knowledge of PTT call model and the priority control scheme, we encapsulate the signaling message and the voice data into a same data packet, when the user push the button, the voice and the call control signaling are sent to the server at the same time. So the long time delay of call setup procedure of POC scheme can be eliminate. The end-to-end call delay can be decreased significantly. The experiment result based on the commercial CDMA2000 1X network of China Unicom shows that the call delay can be decreased to 600 ms, which approach to the traditional trunk communication system’s requirement.     

A high performance CNFET-based operational transconductance amplifier and its applications

High performance electronic systems face several challenges in driving innovative integrated circuits when the internal transistors are scaled down below 45 nm. Carbon nanotube field effect transistors (CNFETs) are considered as excellent candidates for building energy-efficient electronic systems in the near future, due to their unique characteristics such as ballistic transport, scalability, and better channel electrostatics. In this paper, a new high performance operational transconductance amplifier (OTA) based on 32 nm CNFET devices is presented. The proposed OTA maintains a highly linear wide continuous tuning range and a wide frequency response range, enabled by splitting the linear voltage-to-current conversion and tuning two different blocks. As an application, a universal second-order transconductance-capacitor (G _m  ? C) filter realized using the OTA is introduced. Simulation results show that the CNFET-based OTA offers very a low current consumption of 2.35 μA from a ± 0.9 V power supply, achieves a bandwidth of 9.5 MHz, and has an input dynamic range of ± 0.2 V.     

Design of 0.5 V voltage-combiner based OTA with 60 dB gain 250 kHz UGB in CMOS

A gain enhancement technique for a pseudo differential OTA based on voltage combiner, suitable for sub-1 V supply is presented in this letter. The proposed technique uses a G _m boosted voltage combiner. Unlike the typical voltage combiner which has an approximated gain of \(2\,\frac{{\text{V}}}{{\text{V}}}\), this voltage combiner can produce gain more than \(5\,\frac{{\text{V}}}{{\text{V}}}\). So it help us achieve nearly 60 dB DC gain with 250 kHz UGB for the pseudo differential OTA at a capacitive load of 10 pF. Power dissipation is very low i.e. 716 nW at supply of 0.5 V. So as to facilitate maximum swing at 0.5 V supply and lower the power consumption, MOS transistors are biased in weak/moderate inversion. The OTA is designed in standard 45 nm CMOS process. Phase margin of is more than \(55^{\circ }\) for a typical load of 10 pF. The input referred noise is \(150\,\upmu {\text{V}}{/}\sqrt{{\text{Hz}}}\) at 10 Hz and slew rate \(0.02\,{\text{V}}{/}\upmu{\text{s}}\) for 10 pF load.     

A Class of Sequential Blind Source Separation Method in Order Using Swarm Optimization Algorithm

We consider the problem of sequential, blind source separation in some specific order from a mixture of sub- and sup-Gaussian sources. Three methods of separation are developed, specifically, kurtosis maximization using (a) particle swarm optimization, (b) differential evolution, and (c) artificial bee colony algorithm, all of which produce the separation in decreasing order of the absolute kurtosis based on the maximization of the kurtosis cost function. The validity of the methods was confirmed through simulation. Moreover, compared with other conventional methods, the proposed method separated the various sources with greater accuracy. Finally, we performed a real-world experiment to separate electroencephalogram (EEG) signals from a super-determined mixture with Gaussian noise. Whereas the conventional methods separate simultaneously EEG signals of interest along with noise, the result of this example shows the proposed methods recover from the outset solely those EEG signals of interest. This feature will be of benefit in many practical applications.     

CaPPS: cache partitioning with partial sharing for multi-core embedded systems

As the number of cores in chip multi-processor systems increases, the contention over shared last-level cache (LLC) resources increases, thus making LLC optimization critical, especially for embedded systems with strict area/energy/power constraints. We propose cache partitioning with partial sharing (CaPPS), which reduces LLC contention using cache partitioning and improves utilization with sharing configuration. Sharing configuration enables the partitions to be privately allocated to a single core, partially shared with a subset of cores, or fully shared with all cores based on the co-executing applications’ requirements. CaPPS imposes low hardware overhead and affords an extensive design space to increase optimization potential. To facilitate fast design space exploration, we develop an analytical model to quickly estimate the miss rates of all CaPPS configurations using the applications’ isolated LLC access traces to predict runtime LLC contention. Experimental results demonstrate that the analytical model estimates cache miss rates with an average error of only 0.73 % and with an average speedup of \(3505\times \) as compared to a cycle-accurate simulator. Due to CaPPS’s extensive design space, CaPPS can reduce the average LLC miss rate by as much as 25 % as compared to baseline configurations and as much as 14–17 % as compared to prior works.     

A Power Efficient Test Data Compression Method for SoC using Alternating Statistical Run-Length Coding

A power efficient System-on-a-Chip test data compression method using alternating statistical run-length coding is proposed. To effectively reduce test power dissipation, the test set is firstly preprocessed by 2D reordering scheme. To further improve the compression ratio, 4 m partitioning of the runs and a smart filling of the don’t care bits provide the nice results, and alternating statistical run-length coding scheme is developed to encode the preprocessed test set. In addition, a simple decoder is obtained which consumed a little area overhead. The benchmark circuits verify the proposed power efficient coding method well. Experimental results show it obtains a high compression ratio, low scan-in test power dissipation and little extra area overhead during System-on-a-Chip scan testing.     

A distributed range-free correction vector based localization refinement algorithm

Localization problem is an important and challenging topic in today’s wireless sensor networks. In this paper, a novel localization refinement algorithm for LAEP, which is a range-free localization algorithm by using expected hop progress, has been put forward. The proposed localization refinement algorithm, called as CVLR, is based on position correction vectors and can resolve the LAEP’s hop-distance ambiguity problem, which can lead to adjacent unknown nodes localized at the same or very close positions. CVLR can make full use of the relative position relationship of 1-hop neighboring nodes (called as CVLR1), or 1-hop and 2-hop neighboring nodes (called as CVLR2), to iteratively refine their localization positions. Furthermore, from localization accuracy and energy dissipation perspective, we optimize the communication process of CVLR2 and propose an energy-efficient improved CVLR. Simulation results show that the localization accuracy of CVLR1, CVLR2, and the improved CVLR are obviously higher than that of LAEP and DV-RND.