The presentation of Bluetooth Low Energy (BLE; e.g., 4.0) makes based indoor positioning have extremely broad application prospects. In this paper, we propose a received signal strength indication (RSSI) method. There are two phases in the procedure our positioning: offline training and online locating. phase training, use piecewise fitting on lognormal distribution model to train propagation RSSI for every BLE reference nodes, respectively, order reduce influence accuracy because different...

With the ever-increasing demand for location-based services in indoor environments, Wi-Fi-based positioning technology has attracted much attention decades of years because its ubiquitous deployment and low cost. There is fact that Wi-Fi signal not only changes with distance away from target, but also time. To improve accuracy robustness, we consider both spatial relation temporal sequential simultaneously, propose a spatial-temporal algorithm combines residual network long short-term memory...

To enhance the performance of inertial navigation system (INS)/global position (GPS) integrated for land vehicle during GPS outages is an extremely challenging task. Though existing researches have made reasonable progress in positioning accuracy, they largely ignore sophisticated stopping events, and further improvement urgently needed complex urban environments. In this article, we propose a heterogeneous multi-task learning (MTL) structure with shared de-noising process to conduct...

Indoor positioning methods have appeared to fulfill indoor location-based systems requirements, it is still a great challenge obtain high precision results of positioning. For example, fingerprint-based reach performances but cost for survey the environment in order collect sample and maintain location fingerprints. Systems based on log-distance path loss model suffer from multi-path problem adjustment Wi-Fi station powers, achieve low accuracy complex environments. The appearance fine time...

We study a two-stage hybrid flow shop problem arising from fine chemicals production facility, where the first stage is continuous chemical reaction process and second discrete filling-packaging process. The objective to minimise total weighted completion time through batching of jobs scheduling batches at stage. formulate as mixed integer programming model develop Lagrangian relaxation-based framework for solving it, original decomposed into family-level subproblems, each subproblem...

Nowadays, microblogging is becoming a part of people living in network. Because the importance popular topic mining, mining technology receive widely attention. This paper introduces method based on microblogging. First all, we pretreat content, such as remove noise words and stop for word analysis next stage. Next, dig entity words, mark noun which may be entity. And then, mine key word, make sure verb or adjective topic's keyword. Besides, topic, according to keywords topic. Finally,...

Operation analysis is a fundamental means to detect abnormal behavior of equipment and prevent the hydro power plant from accidents. It usually carried out by human operators once or twice per day. Not only many manpower have be involved in hard data gathering calculation work, but also results can't reflect condition time. In order meet requirements smart plants, an intelligent web-based workstation (IWWS) for operation proposed. The various systems (such as SCADA system, speed governor,...

We demonstrate a portable system integrated with time comparison, absolute distance ranging, and optical communication (TRC) to meet the requirements of space gravitational wave detection. A 1 km free-space asynchronous two-way link is performed. The TRC realizes 7.7×10-5 bit error rate Si avalanche photodiode single-photon detector, while signal intensity 1.4 photons per pulse background noise 3×104 counts second. measurement uncertainty 48.3 mm, comparison precision 162.4 ps. In this...

A kind of hybridized control system based on genetic algorithms and fuzzy neural networks is presented to hydroelectric generating units in the paper. The combines basic controller optimizing part. Takagi-Sugeno type model used networks. Designed have character adaptive optimization techniques are optimize parameters rules network controller. In order not impact performance process, RBF identifying networks, knowledge base virtual employed accomplish together work training on-line....

Multimedia information processing is a new technology developing rapidly recent years, among which the Image Matching Technology has wide range of applications in various fields, such as face recognition and building recognition, image database retrieval, etc. This paper focus on accuracy matching using SIFT (Scale Invariant Feature Transform) algorithm to extract feature points from images. And then are used find out between two images by calculating correlation degree based Analysis Grey...

In the absence of GPS or other sensors that provide absolute pose, it is relatively difficult to estimate accurate pose ground vehicles continuously. Estimation method combining visual measurement and inertial data (VINS) can achieve high accuracy, gradually attracts attention researchers. However, It has been proved VINS additional unobservable direction, scale, under constant speed acceleration. For vehicle, these motions often occur, which a negative impact on localization performance....

Based on the panel data of 268 prefecture-level cities in China during 2001-2007, this paper examines impact housing price agglomeration manufacturing industries China. Using instrumental variable method to alleviate endogeneity problem, after controlling for a series city characteristic variables, IV regression results show that: has significant negative agglomeration. Further studies that effect mainly comes from eastern region 2003 when China’s land policy changed greatly. For central and...

Synchronous laser beam scanning is a common technique used in single-photon imaging where the spatial resolution primarily determined by divergence angle. In this context, Bessel beams have been investigated as they can overcome diffraction limit associated with traditional Gaussian beams. Notably, central spot of retains its size almost unchanged within non-diffractive distance. However, presence sidelobes negatively impact resolution. To address challenge, we developed system high-depth...

Intuitive and efficient monitoring system is a reliable guarantee for the security of Hydro-turbine Generator Sets (HGS). A safety-oriented visual HGS was developed. Under Hydropower station Optimal Maintenance Information System (HOMIS)integrated platform, combined with equipment engineering 3D models means, query safety inspection carried out; while under “safety monitoring” HGS, real-time condition alarm implemented. The can help maintenance personnel to carry out analysis fault diagnosis...

With the increasing popularity of intelligent devices, application indoor localization in all aspects is becoming more extensive. Indoor algorithm based on crowdsourcing can not only acquire exact locations but also eliminate complex spot exploration process. However, existing algorithms fingerprint are resistant to outliers, such as layout's changes, access point(AP) attacks. We proposes a robust named "Outlier Detection Based Similarity"(ODBS) detect outliers and locating error due them....

A new approach for detecting moving dim targets in infrared image sequences is proposed. The adopts an innovative density‐based cluster to eliminate the interferences of heavy and slowly evolving clutters extract pulse signals on temporal profiles that are generated by targets. Two senses processed this other conventional approaches. results show has high robustness clutters.

To investigate the role of disk surface waviness on baseline instability (BLI) read-back signals from MR head, we measured average height with a spatial wavelength 0.4 to 5.0 mm using white light interferometer instrument. We used an head over four sets media measure at OD and MD. The results show that becomes worse as increases is linearly proportional waviness. result further shows effect bias current amplified waviness, therefore, can not be overlooked when evaluating for high-performance...

With the growing popularity of intelligent terminals, as well increasing demand for location-based service, a design and implementation WiFi network based mobile location service system algorithm on GMM (Gauss Mixture Model) introduced in this paper. The consists an offline training phase real time localization phase, RSSI is modeled by GMM. This contains three parts: server, middleware application client. client developed Android Operation System. server provides underlying user control...

In order to raise the efficiency of face recognition, a method based on back-propagation (BP) neural network and probabilistic (PNN) integration was introduced. The uses kernel independent component analysis (KICA) extract facial features, puts eigenvectors into BP networks PNN learn, outputs two classification recognition results by relative voting method. This effectively solves interferences illumination, expression, etc., as result improves human ability.