A robust and secure time-domain ICI canceller for OFDM based ubiquitous systems in time-varying multipath channels

A robust and secure time-domain cancellation is proposed for inter-carrier interference (ICI) reduction in OFDM systems for ubiquitous environments. To cope with the problem of the conventional time-domain canceller, which does not work in deep fades, simple repetition (de)coding and modulation order increasing techniques are exploited in our proposal. The approximated repetition decoding provides reliable symbols in the regeneration operation, and the increased modulation order maintains the spectral efficiency. Simulation results indicate that the proposed method using 16QAM significantly improves the BER performance compared with the conventional method using QPSK, while the spectral efficiency is maintained. Moreover, the proposed method using 64QAM concurrently improves both the BER performance and the spectral efficiency.

Charge transfer in graphene/polymer interfaces for CO<Subscript>2</Subscript> detection

Understanding charge transfer processes between graphene and functional materials is crucial from the perspectives of fundamental sciences and potential applications, including electronic devices, photonic devices, and sensors. In this study, we present the charge transfer behavior of graphene and amine-rich polyethyleneimine (PEI) upon CO₂ exposure, which was significantly improved after introduction of hygroscopic polyethylene glycol (PEG) in humid air. By blending PEI and PEG, the number of protonated amine groups in PEI was remarkably increased in the presence of water molecules, leading to a strong electron doping effect on graphene. The presence of CO₂ gas resulted in a large change in the resistance of PEI/PEG-co-functionalized graphene because of the dramatic reduction of said doping effect, reaching a maximum sensitivity of 32% at 5,000 ppm CO₂ and an applied bias of 0.1 V in air with 60% relative humidity at room temperature. This charge transfer correlation will facilitate the development of portable graphene-based sensors for real-time gas detection and the extension of the applications of graphene-based electronic and photonic devices.

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Solution-processed highly adhesive graphene coatings for corrosion inhibition of metals

Nano Research - The corrosion of metals can be induced by different environmental and operational conditions, and protecting metals from corrosion is a serious concern in many applications. The...     

Optical and electrical properties of amorphous thin films in Gex Te1-x system

Ge_xTe_1-x thin films of different compositions are prepared on glass substrates by sputtering deposition. The optical transmittance, reflectance, electrical resistivity of the thin films axe measured as a function of composition,x. The optical energy gap and the electrical resistivity is highest when Ge_xTe_1-x enters the GeTe₂ phase due to its very ordered network structure resulting in narrow localized states in the amorphous energy band structure. Also, the refractive index and the extinction coefficient are lowest at the GeTe₂ composition since the absorption tailing near the band edge is minimum.     

热处理对C/C复合材料Mo-Si-N系涂层抗氧化性能的影响

以Mo粉和Si粉为原料,采用熔浆法在氮气环境中制备了C/C复合材料的Mo-Si-N系抗氧化涂层,并对涂层1400℃预氧化热处理前后的组织结构和氧化行为进行了研究.结果表明,Mo-Si-N涂层除具有与Mo-Si系涂层相同的SiC底层和MoSi2/Si主结构层外,还形成了厚度不均匀的Si3N4/SiC/Si表面层.Mo-Si-N系涂层具有1400℃稳定抗氧化能力和1450℃长时间氧化防护潜力;经1400℃预氧化热处理后,涂层的最高抗氧化温度达到了1500℃,氧化12小时后重量损失率小于1wt%.     

An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

Innovations on the Internet of Everything (IoE) enabled systems are driving a change in the settings where we interact in smart units, recognized globally as smart city environments. However, intelligent video-surveillance systems are critical to increasing the security of these smart cities. More precisely, in today’s world of smart video surveillance, person re-identification (Re-ID) has gained increased consideration by researchers. Various researchers have designed deep learning-based algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision problems. In this line of research, we designed an adaptive feature refinement-based deep learning architecture to conduct person Re-ID. In the proposed architecture, the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel attention. In addition, the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature maps. Furthermore, the model’s effectiveness is validated on the CUHK01 and CUHK02 datasets. When compared with existing approaches, the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%, respectively.     

Improvement of machining quality of copper-plated roll mold by controlling temperature variation

Micro prism film used in LCD industry can be manufactured by roll to roll method with copper-plated roll mold. As copper-plated roll mold is getting larger, pitch error is getting severer. The pitch error drops the quality of micro prism film. The main cause of the pitch error was investigated during machining large roll mold whose machined length was 1 200 mm. The temperature of machining system was elevated during machining roll mold, and this elevation induced thermal expansion of the system. The tempera...     

Advances in wireless sensor communications and applications for smart space

Research progresses in wireless sensor communications and applications have been recently and widely explored. This special issue on advances in wireless sensor communications and applications for smart space provides high quality contributions addressing related theoretical and practical aspects of wireless sensor communications. We have selected eight research papers whose topics are strongly related to the wireless and sensor technology.