Alkali Metal Ion Substituted Carboxymethyl Cellulose as Anode Polymeric Binders for Rapidly Chargeable Lithium-Ion Batteries

The increasing demand for short charging time on electric vehicles has motivated realization of fast chargeable lithium-ion batteries(LIBs).However,shortening the charging time of LIBs is limited by Li^(+)intercalation process consisting of liquid-phase diffusion,de-solvation,SEI crossing,and solid-phase diffusion.Herein,we propose a new strategy to accelerate the de-solvation step through a control of interaction between polymeric binder and solvent-Li^(+)complexes.For this purpose,three alkali metal ions(Li^(+),Na^(+),and K^(+))substituted carboxymethyl cellulose(Li-,Na-,and K-CMC)are prepared to examine the effects of metal ions on their performances.The lowest activation energy of de-solvation and the highest chemical diffusion coefficient were observed for Li-CMC.Specifically,Li-CMC cell with a capacity of 3 mAh cm^(-2)could be charged to>95%in 10 min,while a value above>85%was observed after 150 cycles.Thus,the presented approach holds great promise for the realization of fast charging.

An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video

In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision specialists.It is difficult to search for anomalous events manually in thesemassive video records since they happen infrequently and with a low probability in real-world monitoring systems.Therefore,intelligent surveillance is a requirement of the modern day,as it enables the automatic identification of normal and aberrant behavior using artificial intelligence and computer vision technologies.In this article,we introduce an efficient Attention-based deep-learning approach for anomaly detection in surveillance video(ADSV).At the input of the ADSV,a shots boundary detection technique is used to segment prominent frames.Next,The Lightweight ConvolutionNeuralNetwork(LWCNN)model receives the segmented frames to extract spatial and temporal information from the intermediate layer.Following that,spatial and temporal features are learned using Long Short-Term Memory(LSTM)cells and Attention Network from a series of frames for each anomalous activity in a sample.To detect motion and action,the LWCNN received chronologically sorted frames.Finally,the anomaly activity in the video is identified using the proposed trained ADSV model.Extensive experiments are conducted on complex and challenging benchmark datasets.In addition,the experimental results have been compared to state-ofthe-artmethodologies,and a significant improvement is attained,demonstrating the efficiency of our ADSV method.

High-Bandwidth,Low-Power CMOS Transistor Based CAB for Field Programmable Analog Array

This article presents an integrated current mode configurable analog block(CAB)system for field-programmable analog array(FPAA).The proposed architecture is based on the complementary metal-oxide semiconductor(CMOS)transistor level design where MOSFET transistors operating in the saturation region are adopted.The proposed CAB architecture is designed to implement six of thewidely used current mode operations in analog processing systems:addition,subtraction,integration,multiplication,division,and pass operation.The functionality of the proposed CAB is demonstrated through these six operations,where each operation is chosen based on the user’s selection in the CAB interface system.The architecture of the CAB system proposes an optimized way of designing and integrating only three functional cells with the interface circuitry to achieve the six operations.Furthermore,optimized programming and digital tuning circuitry are implemented in the architecture to control and interface with the functional cells.Moreover,these designed programming and tuning circuitries play an essential role in optimizing the performance of the proposed design.Simulation of the proposed CMOS Transistor Based CAB system is carried out using Tanner EDA Tools in 0.35μm standard CMOS technology.The design uses a±1.5 V power supply and results in maximum 3 dB bandwidth of 34.9 MHz and an approximate size of 0.0537 mm2.This demonstrates the advantages of the design over the current state-of-the-art designs presented for comparison in this article.Consequently,the proposed design has a clear aspect of simplicity,low power consumption,and high bandwidth operation,which makes it a suitable candidate for mobile telecommunications applications.

基于CNN-LSTM混合神经网络模型的NO_(x)排放预测

为了充分挖掘电站锅炉NO_(x)排放数据中时序性特征联系,提高NO_(x)排放预测精度,提出一种基于卷积神经网络(CNN)和长短期记忆网络(LSTM)的NO_(x)排放预测方法。以某300 MW电站锅炉历史数据为样本,采用K-means聚类方法对NO_(x)排放训练样本集进行分组,再基于CNN网络的卷积层和池化层提取NO_(x)排放变量的高维映射关系,构造高维时序特征向量,将抽象化的特征集输入到LSTM网络,通过训练LSTM网络参数建立基于CNN-LSTM的NO_(x)排放预测模型。通过某电站锅炉实际数据验证,所提预测模型对训练和测试样本的平均相对百分比误差分别为1.76%和3.85%,远低于其他模型。结果表明所提模型在预测精度和泛化能力方面具有显著优势。

Authentication masking code against DoS of T-MAC protocol

Security vulnerability of denial of service (DoS) in time out-medium access control (T-MAC) protocol was discussed and analysis of power consumption at each stage of T-MAC protocol was carried out. For power efficient authentication scheme which can provide reliability, efficiency, and security for a general T-MAC communication, a novel synchronization and authentication scheme using authentication masking code was proposed. Authentication data were repeated and masked by PN sequence. The simulation results show that the proposed approach can provide synchronization and authentication simultaneously for nodes in wireless sensor network (WSN). 63 bits AMC code gives above 99.97% synchronization detection and 93.98% authentication data detection probability in BER 0.031 7.

Clustering-based label estimation for network anomaly detection

A substantial body of work has been done to identify network anomalies using supervised and unsupervised learning techniques with their unique strengths and weaknesses.In this work,we propose a new approach that takes advantage of both worlds of unsupervised and supervised learnings.The main objective of the proposed approach is to enable supervised anomaly detection without the provision of the associated labels by users.To this end,we estimate the labels of each connection in the training phase using clustering.The“estimated”labels are then utilized to establish a supervised learning model for the subsequent classification of connections in the testing stage.We set up a new property that defines anomalies in the context of network anomaly detection to improve the quality of estimated labels.Through our extensive experiments with a public dataset(NSL-KDD),we will prove that the proposed method can achieve performance comparable to one with the “original”labels provided in the dataset.We also introduce two heuristic functions that minimize the impact of the randomness of clustering to improve the overall quality of the estimated labels.

基于动态天线分组的Alamouti编码/V-BLAST合并算法

将Alamouti编码与V-BLAST结合在一个MIMO系统中可以同时获得空间分集和复用技术的优点。基于最优检测排序信息,新算法在不增加接收机计算复杂度的情况下构造一定数量的反馈信息,并据此将发射天线动态地分为两组:最弱两根天线为一组并传送Alamouti编码信号,剩余天线为一组并按V-BLAST结构发射信号。通过改善接收机第一检测级的BER性能并抑制误差传播效应,新算法可以获得比具有相同频谱效率的V-BLAST算法更好的BER性能,而且可以应用在发射天线数大于接收天线数的系统中。

PotholeEye^(+): Deep-Learning Based Pavement Distress Detection System toward Smart Maintenance

We propose a mobile system,called PotholeEye+,for automatically monitoring the surface of a roadway and detecting the pavement distress in real-time through analysis of a video.PotholeEye+pre-processes the images,extracts features,and classifies the distress into a variety of types,while the road manager is driving.Every day for a year,we have tested PotholeEye+on real highway involving real settings,a camera,a mini computer,a GPS receiver,and so on.Consequently,PotholeEye+detected the pavement distress with accuracy of 92%,precision of 87%and recall 74%averagely during driving at an average speed of 110 km/h on a real highway.

Performance analysis of QoS routing protocol for WiMedia networks

Though the WiMedia supports higher data rates than other WPAN technologies,a WiMedia device cannot reach other devices that are separated from it by more than 10 m,which is the typical limited transmission range of the WiMedia protocol.In this work,we propose a multi-hop QoS routing protocol to enable WiMedia devices to transmit real-time data to devices that are located out of the transmission range.The proposed routing protocol is a hybrid algorithm,which mixes the table-driven and on-demand routing algorithms,searching one or more routes according to the number of hops to a destination device.WiMedia MAC is potentially capable of learning the existence of neighbor devices by using a beacon frame.By utilizing the neighbors' information,all devices can create routing entries for devices within 2-hops periodically.For devices beyond the 2-hop range,the newly designed on-demand routing algorithm is applied to multi-hop routing.If a routing entry for a destination device is not listed in the routing table,the source device sends a request packet to 2-hop range devices which could be found in the routing table.Since every device maintains routing entries for 2-hop range devices in the routing table,the request packet is replied in advance before its arrival at the destination device.Also,to decide the optimal route for a destination device,the number of medium access slots(MASs),received signal strength indicator(RSSI)and hop count are utilized to establish a QoS-enabled routing table.We perform ns-2 simulation to investigate the performance of the proposed routing protocol with AODV and DSDV.The simulation results show that the proposed protocol has better throughput and lower overhead than other protocols.

An Ubiquitous Service Mobility Mechanism in the Cross Domain Service Framework

Service mobility has become a new issue in the area of service convergence with the advent of versatile mobile devices. Hence, we propose an open service framework with support for service mobility that executes contents and applications in a dynamic environment. For the framework, the concept and role of a device and its application for a service are redefined into the new concepts of device, execution engine, and service. Mechanisms for device profiling, user preference learning, and profile-based service recommendation are designed to enable device-capability-aware service recommendation functionality. Furthermore, a seamless service syndication mechanism is added for continuity and synchronization of service upon change of terminal, network status, or personal preference. A prototype system integrates functionalities with proprietary protocol and a content transcoder to support multiple device platforms. The prototype shows the capability of the framework in service mobility support and its advancement into an open international application platform.

Interference Cancellation Algorithm for 2×2 MIMO System without Pilot in LTE

Interference cancellation system (ICS) for 3GPP/LTE system is the broadband cancellation system, which receives forward signal through the donor antenna. We proposed new algorithm of received signal with pilot and non-pilot design. Although repeater design needs our project, so in this paper we discuss about interference cancellation algorithm for 2x2 MIMO systems without pilot in LTE. First explain the general principle structure of 3GPP/LTE, next determine our new design and algorithm. Finally, we simulated our mathematic extraction of proposed new algorithm on MATLAB.

Next Generation Mobile Video Networking

HWANG Jenq-Neng received his Ph.D. degree from the University of Southern California, USA. In the summer of 1989, Dr. HWANG joined the De- partment of Electrical Engineering of the Universi- ty of Washington in Seattle, USA, where he has been promoted to Full Professor since 1999. He served as the Associate Chair for Research fi＇om 2003 to 2005, and from 2011-2015. He is current- ly the Associate Chair for Global Affairs and Inter- national Development in the EE Depamnent. Hehas written more than 330 journal papers, conference papers and book chapters in the areas of machine learning, muhimedia signal processing, and muhimedia system integration and networking, including an au- thored textbook on ＂Multimedia Networking： from Theory to Practice,＂ published by Cambridge University Press. Dr. HWANG has close work- ing relationship with the industry on muhimedia signal processing and nmltimedia networking.

不典型性眼重症肌无力症

The diagnosis of ocular myasthenia gravis is rarely in doubt in patients with a proper history and typical clinical findings. However, myasthenia gravis can mimick any pupil- sparing eye movement disorder and several diseases may masquerade myasthenia g ravis. We review the atypical presentations and differential diagnoses in ocular myasthenia gravis, describing four patients with some of these conditions (4th nerve palsy, near spasm reflex, one-and-a-half syndrome, orbital meningioma). The correct interpretation of the clinical findings associated with appropriate neuro-imaging studies allowed the appropriate diagnosis in these cases.

Ranibizumab治疗新生血管性老年性黄斑病变

Vascular endothelial growth factor (VEGF) is considered to play an es sential role in the pathogenesis of age-relatedma- cular degeneration due to its vascular permeability-inducing and angiogenic p roperties. Ranibizumab, a small antibody fragment designed to competitively bind all VEGF isoforms, passes after intravitreal injection all retinal layers reach ing the retinal pigment epithelium-choroid complex. Experimental animal models showed the drug to be safe and effective. Subsequently, Phase I/II clinical tria ls conducted in patients with neovascular AMDdemonstrated a good safety profile, and a significant functional benefit. Ranibizumab therapy repeated every four we eks for the treatment of neovascular AMD is currently in Phase III clinical tria ls. Combination therapy trials aiming for improved treatment durability and effe ctiveness are currently ongoing as well as new treatment strategies using interm ittent, optical coherence tomography (OCT) guided therapy. Anti-VEGF therapy us ingRanibizumab is a promising newtreatment option for neovascular AMD.

Management of Address Information to Improve Quality of Customer Contact

Customer relationship management systems are gaining importance in today's business environment since customer satisfaction is crucial to the success of an enterprise, and especially so in e-business environment where customers can find substitute suppliers quite easily. In CRM, the quality of customer information is very important, and the address information even more so. It is because the address information plays a major role for customer contact channel and for timely and effective marketing service. Furthermore, it gives the basic source of geographic information for the offline delivery, the terminal activity of the e-commerce. In this study, we analyze various standards and proposals for the address information, and propose data models for the management of the information focusing on address components, and proto-type systems for management and service.

Shape-tailored whispering gallery microcavity lasers designed by transformation optics

Semiconductor microdisk lasers have great potential as low-threshold,high-speed,and small-form-factor light sources required for photonic integrated circuits because of their high-Q factors associated with long-lived whispering gallery modes(WGMs).Despite these advantages,the rotational symmetry of the disk shape restricts practical applications of the photonic devices because of their isotropic emission,which lacks directionality in far-field emission and difficulty in free-space out coupling.To overcome this problem,deformation of the disk cavity has been mainly attempted.However,the approach cannot avoid significant Q degradation owing to the broken rotational symmetry.Here,we first report a deformed shape microcavity laser based on transformation optics,which exploits WGMs free from Q degradation.The deformed cavity laser was realized by a spatially varying distribution of deep-sub-wavelength-scale(60 nm diameter)nanoholes in an InGaAsP-based multi-quantum-well heterostructure.The lasing threshold of our laser is one-third of that of the same shaped homogeneous laser and quite similar to that of a homogeneous microdisk laser.The results mean that Q spoiling caused by the boundary shape deformation is recovered by spatially varying nanohole density distribution designed by transformation optics and effective medium approximation.

Do different kinds of photon-pair sources have the same indistinguishability in quantum silicon photonics?

In the same silicon photonic integrated circuit,we compare two types of integrated degenerate photon-pair sources(microring resonators and waveguides)using Hong–Ou–Mandel(HOM)interference experiments.Two nominally identical microring resonators are coupled to two nominally identical waveguides,which form the arms of a Mach–Zehnder interferometer.This is pumped by two lasers at two different wavelengths to generate,by spontaneous four-wave mixing,degenerate photon pairs.In particular,the microring resonators can be thermally tuned in or out of resonance with the pump wavelengths,thus choosing either the microring resonators or the waveguides as photon-pair sources,respectively.In this way,an on-chip HOM visibility of 94%with microring resonators and 99%with straight waveguides is measured upon filtering.We compare our experimental results with theoretical simulations of the joint spectral intensity and the purity of the degenerate photon pairs.We verify that the visibility is connected to the sources’indistinguishability,which can be quantified by the overlap between the joint spectral amplitudes(JSA)of the photon pairs generated by the two sources.We estimate a JSA overlap of 98%with waveguides and 89%with microring resonators.

Electrically driven, phosphor-free, white light-emitting diodes using gallium nitride-based double concentric truncated pyramid structures

White light-emitting diodes(LEDs)are becoming an alternative general light source,with huge energy savings compared to conventional lighting.However,white LEDs using phosphor(s)suffer from unavoidable Stokes energy converting losses,higher manufacturing cost,and reduced thermal stability.Here,we demonstrate electrically driven,phosphor-free,white LEDs based on three-dimensional gallium nitride structures with double concentric truncated hexagonal pyramids.The electroluminescence spectra are stable with varying current.The origin of the emission wavelength is studied by cathodoluminescence and high-angle annular dark field scanning transmission electron microscopy experiments.Spatial variation of the carrier injection efficiency is also investigated by a comparative analysis between spatially resolved photoluminescence and electroluminescence.

Growth of silicon nanowires in aqueous solution under atmospheric pressure

A new method for growing silicon nanowires is presented. They were grown in an aqueous solution at a temperature of 85℃ under atmospheric pressure by using sodium methylsiliconate as a water-soluble silicon precursor. The structure, morphology, and composition of the as-grown nanowires were characterized by scanning electron microscopy, transmission electron microscopy, and energy dispersive X-ray spectrometry. It was also confirmed by X-ray powder diffraction and Raman spectroscopy that the silicon nanowire has a hexagonal structure. It was possible to grow the crystalline silicon nanowires at low temperature under atmospheric pressure because potassium iodide, which was used as a gold etchant, sufficiently increased the surface energy and reactivity of gold as a metal catalyst for the reaction of the Si precursor even at low temperature.