Short-time aerobic digestion (STAD) of sludge requires low investment and has the advantages short retention time rapid degradation organic matter in waste activated (WAS). This research conducted STAD at three temperature gradients (15°C, 25°C, 35°C). Characteristics EPS microbial community structure raw fermented were analyzed, environmental application potential different temperatures was explored. treatment improved both polysaccharide (PS) protein (PN) contents EPS, with increases...

Flexible perovskite solar cells (PSCs) are highly promising photovoltaic technologies due to the prospect of integration with wearable devices. However, conventional encapsulation strategies for flexible devices often cause secondary damage crystals, which affects device performance. Here, we present self-encapsulated PSCs realized by lamination technology. The conversion crystals is achieved diffusion lead iodide and ammonium halide under effect temperature pressure. In addition, hydrogen...

The traditional map-matching algorithms mainly use two methods: the incremental method and global method. Both of them have advantages disadvantages themselves: while algorithm produces better matching results, results lower quality faster. All things considering algorithms, this paper proposes a heuristic by using vector-based recognition. Firstly, uses search which is similar to A* algorithm, it makes geometric operation form restriction, make comparison between vector formed with...

Partial label learning (PLL) refers to the classification task where each training instance is ambiguously annotated with a set of candidate labels. Despite substantial advancements in tackling this challenge, limited attention has been devoted more specific and realistic setting, denoted as instance-dependent partial (IDPLL). Within contex, assignment labels depends on distinct features individual instances, rather than being random. In paper, we initiate an exploration into...

Gas outburst poses a huge threat to the safe production of coal mines. Therefore, prediction gas has always been hot topic for researchers. In recent years, use artificial intelligence algorithms made progress, such as using BP neural network, GA algorithm, and SVM algorithm. Despite these progresses, predicting more accurately efficiently still remains great challenge. this work, an algorithm based on grey relational analysis adaptive particle swarm optimization (APSO‐SVM) is proposed. Grey...

With the growing popularity of cell phones, using massive cellular signaling data as probe to track vehicles movement trajectory and obtain real-time traffic condition has become one most attractive candidate techniques. However, traditional approaches may offer a poor performance in removing noisy minimizing deviation speed adjacent time intervals. In this paper, novel approach is proposed solve these two issues. The authors move by comparing with trained set, adopt modified Kalman filter...

There is an increasing demand for the accurate travel time, however inadequacy of traditional time highlighted on urban streets relative to freeways. In this paper, road network, which traffic lights result in much random control delay times, divided into two components: link valid (LVTT) and intersection (IDT). What more, aimed existing problems signal model, optimized model was proposed calculate IDT accurately. Besides, a merger algorithm developed increase reliability estimation. All...

As an advanced means of collecting information traffic condition roads, floating car technology has drawn increasing attention from many countries. Whereas, Floating Car Data(FCD) collected by often could not cover all the roads a city. Therefore, in order to increase integrality and usability FCD which reflects model based on History FCD(HFCD) is proposed compensate are covered real-time FCD. The corrects abnormal data HFCD extracts changing modes driving speed HFCD, matching trend with...

In this paper, the effects of carbon nanotubes on mechanical and electrical properties cement-based composites at different ages have been studied. The structures were characterized by SEM. experimental results show that higher content may enhance strength, when is 0.1%, 3d flexural strength increases about 60.6%, 28d 57.4%, compressive 33%, 11.6%. Highly dispersed can form uniform network structure in cement paste, so be greatly improved. conductivity specimen increase with nanotube...

Traffic speed is one of the most essential parameters representing traffic conditions in intelligent system (ITS). In recent years, there have been several approaches estimating based on cellular network signaling data. However, accuracy these unsatisfactory because they a poor performance filtering out noisy data and minimizing deviations values' trend adjacent time intervals. this paper, new approach proposed to solve two problems above. The filters according educated judgment, adopts...

Nowadays Float Car Data (FCD) is playing an important role in real-time traffic information systems. However, signal control urban road network will cause random delay on float cars, and this kind of result considerable fluctuation travel time. Thus, the accuracy FCD system seriously affected. In paper, car refining models are proposed to calculate stopped-time by means low-sampling-rate FCD. And then, classification controlled non-controlled performed order remove control's affection,...

The critical properties of laminated rubber bearings including the effect eccentric vertical loading are investigated in this article. load, horizontal displacement, and displacement bearing an initial compared with those under axial loading. comparison results show that load decrease increase eccentricity when moves into side where acts (“ positive side”), whereas they opposite negative side”). “ side” increases loading, decreases. Moreover, is larger than side.”

With the rapid development of high-speed and heavy-haul railways, security railway is increasingly important. Under combined actions tension, compression, distortion, shear stress, axle material prone to fatigue damage. Defects in press-fit area can only be detected by using ultrasonic testing methods, with probes coupled journal, end face or other detection schemes. No matter what schemes, compared bare axle, more complicated because certain factors, such as propagation portion energy into...

In order to solve the problems of unstable temperature and pressure in working environment, data transmission interference difficulty instrument maintenance, which occur industrial field application swirlmeter. This paper builds a hardware platform with low-power chips STM32, XTR115 other devices, uses software modular programming idea realize product design intelligent swirlmeter two-wire 4~20mA output. At same time, novel networked monitoring for was developed. The combines technologies...

In order to solve the problem of low degree mechanical automation, such as manual insertion and arrangement industrial cable automatic winding system, a new type system based on machine vision is innovatively established. The processes video image sets collected by camera obtain target coordinates, PC controls rotation arm complete process plugging arranging, thereby improving automation. A recognition algorithm Hu invariant moment multi-degree-of-freedom neural network (MDOFNN) designed...

Personal identification based on single-spectral finger-vein image has been widely investigated recently. However, in imaging, degradation is the main factor causing lower recognition accuracy. So, to improve quality, this paper, multispectral images (760nm and 850nm) are fused together for contrast enhancement using NSCT transformation. The proposed method can preserve completeness sharpness of finger-vein. Experimental results demonstrate that certainly powerful enhancing achieves equal...