GSH- and pH-responsive supramolecular vesicles constructed by a host–guest inclusion complex formed from water-soluble pillar[5]arene lysine derivative were successfully developed.

This paper proposes a high power-performance-area efficient background noise aware keyword-spotting (KWS) processor based on an optimized binarized weight network (BWN). To reduce the power consumption while maintaining system recognition accuracy for different noise, KWS with SNR prediction module can be adaptively configured to use dual computing modes (standard mode and approximate mode) both under ultra-low low noise. The mel-scale frequency cepstral coefficients (MFCC) is technologies,...

A novel compact dual-band rectenna is presented for efficient radio frequency (RF) energy harvest at 2.45 GHz WiFi and 3.5 WiMAX bands. The proposed composed of an optimised tree-like receiving antenna a rectifier based on two-branch matching network. found to feature characteristic, high radiation efficiency, improved reflection coefficient with the newly designed slotted ground plane. By introducing network which consists two different radial branches, well matched rectifying circuit most...

This paper investigates the problem of scheduling delay-constrained traffic in a single-hop wireless industrial network which different source devices have data rates. We aim to maximize packet delivery reliability while meeting deadline for each packet. The transmission is decomposed into two sub-problems: subperiod-based slot allocation and slot-based scheduling. former sub-problem formulated as nonlinear integer programming problem, we present solution with polynomial-time complexity by...

An ultra-low power always-on keyword spotting (KWS) accelerator is implemented in 22nm CMOS technology, which based on an optimized convolutional neural network (CNN). To reduce the consumption while maintaining system recognition accuracy, we first perform a bit-width quantization method proposed CNN to data/weight bit width required by hardware computing unit without reducing accuracy. Then, propose approximate architecture for quantized using voltage-domain analog switching multiplication...

Glycosylation is an important PTM and critical for the manufacture efficacy of therapeutic glycoproteins. Glycan significantly influences biological properties human follicle-stimulating hormone (hFSH). Using a glycoproteomic strategy, this study compared glycosylation putative highly purified FSH (uhFSH) obtained from urine with that recombinant (rhFSH) Chinese hamster ovary (CHO) cells. Intact subunit masses, N-glycans, N-glycosylation sites, intact N- O-glycopeptides were analyzed by mass...

An integrated monopulse antenna is proposed based on the substrate waveguide (SIW) slot array together with a microstrip hybrid-ring coupler and power dividers. The whole feeding system are fabricated single substrate, which gives advantage of small size, low profile, cost, etc. design process experimental results four-by-eight at X-band presented.

An instrument for on-chip measurement of transceiver transmission capability is described that fully realizable in CMOS technology and embeddable within an SoC. The can be used to inject extract the timing voltage information associated with signals high-speed circuits are commonly found data communication applications. At core this work use ΣΔ amplitude- phase-encoding techniques generate both (phase) references, or strobes sampling. same technique also generating test stimulant device-under-test.

The keyword spotting (KWS) system is one of the most important interfaces between humans and machines since it usually start automatic speech recognition natural language processing techniques. However, for KWS hardware, still a problem to make specified chip both low power high performed under multiple scenarios, such as in meeting rooms, on different traffic or parks so on, scenarios own wide range signal-noise-ratios (SNRs). leads requirements balanced design accuracy hardware cost...

This paper presents an application of advanced signal processing techniques in the determination transportation network critical routes for control purposes. The proposed method can be considered as alternative to orthodox O-D estimation methods. During peak periods, certain movements are significant based on their location (i.e., entry and exit points) flow fluctuation. considers observed counts profiles resulting from demand operation non-stationary time series. Wavelet domain is used...

This paper mainly studies the vibration and noise of permanent magnet motor under low-order harmonic currents. Artificial injection method in this is used on a 48 slots 44 poles for finite element calculation analysis acoustic field. The simulation shows that when there current windings, will be decreased. Finally, experiment to prototype done verify accuracy method.

This Letter presents a real-time coherent receiver using digital signal processing (DSP)-assisted automatic frequency control (AFC) to compensate for the Doppler shift (DFS). DFS compensation range of ±8 GHz and shifting rate 33 MHz/s are demonstrated in an FPGA-based 2.5 Gbaud QPSK optical system. The experimental results indicate that scheme achieves sensitivity -47 dBm at bit error (BER) 2E-4. power penalty induced by is less than 1 dB.

This paper proposed a background-noise self-adaptive voice activity detection (VAD) accelerator using SNR prediction based precision dynamic reconfigurable approximate computing. To improve the energy efficiency while maintaining high recognition accuracy for different background noises, two optimization techniques are proposed. Firstly, we module to analyze and pre-classify back-ground noise into levels, binarized weight network (BWN) with data bit width implement feature classification of...

The problem of multi-skilled project scheduling (MSPSP) is a complex task and resource assignment that comes up in the daily management many software company. In this paper we present constraint programming (CP) approach for MSPSP. We extend literature by developing model accounts differing skills among workers. computational results MSPSP show increases performance solving processes. effective proposed problem.

At freeway interchange diverging areas, traffic conflicts are caused directly by driving behaviors. This study aimed to investigate the correlation between and behaviors, which include acceleration/deceleration lane changing at areas based on Chinese cases. Principal component analysis was used make a dimension reduction of parameters that influence conflicts. The Bayesian network construct model in area. A significant existed lane-changing position conflicts, were located within 600 m from...

This paper proposes a deep convolutional neural network(CNN) accelerator for image recognition applications based on novel data flow scheduling scheme. To accelerate the CNN with high energy efficient, we propose two optimization approaches including: execution time prediction model balance scheduling, and dynamic voltage control mechanism. The proposed mechanism can dynamically configure working frequency of computing accessing respectively. solve imbalance between memory computing,...

This paper gives the details of RF modules for channel emulator with small size. The include transceiver board cards and frequency synthesizer cards. range is 400MHz-6GHz bandwidth up to 60MHz. Digital intermediate scheme adopted in high integration. Finally, are developed performance multi-mode, low phase noise, dynamic, good accuracy

This paper focuses on the design and fabrication of a dual-channel reconfigurable RF transceiver covering frequency bands 3.5GHz 4.9GHz for 5G massive MIMO systems. The module contains motherboard front-end board. Both their size meet commercial FMC230 standard, i.e. 69mm*78.8mm. two are connected by coaxial structure in stacking manner. By plugging different board, can realize communication multiple bands. On basis simulation design, is fabricated tested. test results show that has...

The Skilled Workforce Project Scheduling Problem (SWPSP) is a complex problem of task scheduling and resource assignment that comes up in the daily management many company Service Centers. In this paper we present constraint programming (CP) approach for SWPSP. We extend project literature by developing model accounts differing skills among workers. computational results SWPSP show increases performance solving processes. effective proposed problem.

According to the order of "combing functional requirements, proposing layout optimization and determining investment strategy", this topic evaluates requirements digital infrastructure for information management automatic control new power system, proposes strategy in multiple scenarios, supporting capacity scale computing service required by each unit analyzes optimal grid enterprises, solves corresponding problems establishing models. The solutions proposed give specific ideas guiding...

In this paper we improve the input-output relationship of SpikeProp network[1], one type spiking neural networks. Though standard networks perform well on complex non-linear classification, it has a drawback: discontinuity problem, which is behavior that small variation in input causes output to change greatly. Previous work shows weight decay effective for problem. paper, discuss effect three types decay. By simple experiments, conclude squared works and reduce absolute large weights more...