Named Data Networking (NDN) is the most promising paradigm recently conceived for future Internet architectures, where communications are driven by content instead of host addresses. To realize this novel paradigm, three tables, namely Content Store, Pending Interest Table, and Forwarding Information Base, utilized in NDN forwarding plane. Designing evaluating quick enough plane with high capacity a major challenge within overall research area. Since was proposed 2010, there have been many...

Fingerprinting localization using received signal strength (RSS) has been considered as a promising solution for indoor systems, due to its ease of use in deployed wireless networks. A major bottleneck is the difficult trade-off between accuracy and site survey costs. Crowdsourcing-based fingerprint collection cost efficient because user participation, but questioned noisy sample locations. In this paper, we present probabilistic radio map construction scheme with crowdsourcing collection,...

Named Data Networking (NDN) is a recent paradigm conceived for future Internet architectures, where communications are driven by contents instead of host addresses. To realize this paradigm, novel data structure forwarding processes, namely Pending Interest Table (PIT), utilized in NDN node. Designing and evaluating quick enough PIT with high capacity major challenge within the overall research area. In letter, based on our proposed Mapping Bloom filter, which modified we present an enhanced...

Passive radio frequency identification (RFID) is a low cost and complexity localization technology. With introduction of reference tags, RFID technology can provide on-line information for pattern matching algorithms. One the most popular algorithms k -nearest neighbor algorithm. While how to decide K value in estimation still problem. In addition, traditional received signal strength indicator (RSSI)-based suffer from multipath effects, it difficult further improve accuracy. this paper, we...

This letter presents a geometrical localization approach that is able to locate mobile station in non-line-of-sight (NLOS) and multipath conditions using time-of-arrival (TOA) direction-of-arrival (DOA) estimates. The novelty of our work resides converting the NLOS problem into line-of-sight with virtual stations, even if signal undergoes multiple-bound scattering, which has not been resolved previous works. We also develop two-step weighted least squares (TSWLS) positioning estimator hybrid...

This letter presents a novel dynamic Neuro-space mapping (Neuro-SM) technique for nonlinear device modeling. is an advance over the existing static Neuro-SM which aims to map given approximate model towards accurate model. The proposed retains ability of in modifying effects resistors and current sources. can also make up any capacitive non-quasi-static that maybe missing model, not achievable by Neuro-SM. In this way, exceed accuracy limit validity efficiency approach are verified through...

As the Internet of Things develops, indoor radio frequency identification (RFID)-based localization technique is getting more attention. However, there much difficulty for improving RFID precision in non-line-of sight (NLOS) environment. The accuracy conventional linear search algorithm decreased exceedingly NLOS In this paper, compared with typical least square (LS) algorithm, a new RFID-based proposed to fulfill high electromagnetic wave propagation through joint iterative phase...

To keep up with the rapid development of railway and meet high demand for communication business in China, Global System Mobile Communications-Railway (GSM-R) based on General Packet Radio Service (GPRS) ahead Europe has been developed. However, current data mode GPRS using TCP/IP some disadvantages, such as poor mobility, lack security etc. For this reason, there are problems GSM-R, like handover, which makes service quality undesirable. Named Data Networking focuses named data, adopts...

For radio frequency identification (RFID) system, the location information is very important in many applications, such as Internet of Things, logistics, library management, and so on. Most traditional RFID localization algorithms can only locate one tag at a time. However, multitag desired applications. In this paper, we propose novel range-free algorithm named nonmetric multidimensional scaling (NMDS)-RFID(F), which combines NMDS fingerprinting to achieve indoor cooperative localization....

Background/Aims: Hexavalent chromium [Cr(VI)] pollution has become a global concern for both ecosystems and human health. Our previous study revealed Cr(VI) could induce apoptosis autophagy in L-02 hepatocytes. Here, we sought to explore the underlying mechanism of Cr(VI)-induced its exact role cell death. Methods: Autophagy ultrastructure was observed under transmission electron microscope (TEM), flux measured with double-tagged mCherry-green fluorescent protein (GFP)-microtubule-associated...

Through a comparative analysis, we confirm that the value of dark channel pixels smoke image is higher than non-smoke image. It means has more elaborate information smoke, which great benefit to our detailed feature extraction smoke. On this background, propose dual convolution network using prior for classification (DarkC-DCN) classification. In DarkC-DCN, basing on AlexNet, and through continuous structural improvement optimization, improve CNN extract features images. Similarly, general...

Traditional localization algorithms are vulnerable in multipath environment for passive UHF RFID tag localization. To improve the accuracy, this letter proposes a robust algorithm named residual weighted multidimensional scaling (RWMDS) based on channel model. The RWMDS first utilizes reader-to-tag distances derived from received signal phase. obtain squared distance matrix required algorithm, inter-tag estimated using few reference tags by establishing relationship between and phase...

To investigate the toxic mechanism of hexavalent chromium Cr(VI) and search for an antidote Cr(VI)-induced cytotoxicity, a study mitochondrial dysfunction induced by cell survival recovering function was performed. In present study, we found that gene expression electron transfer flavoprotein dehydrogenase (ETFDH) strongly downregulated exposure. The levels coenzyme 10 (CoQ10) biogenesis presented mass DNA copy number were also significantly reduced after subsequent, damage apoptosis...

Prior studies are lacking which address permutation flow shop scheduling problems and hybrid together to help firms find the optimized strategy. The problem important production types, widely exist in industrial fields. This study aimed acquire best strategy for making plans. An improved fireworks algorithm is proposed minimize makespan strategies. compared with algorithm, improvement strategies include following: (1) A nonlinear radius introduced minimum explosion amplitude checked avoid...

The operation and planning of power systems depend heavily on M-LTLF, which is complicated nonlinear, making it challenging for conventional medium- long-term forecasting models to produce reliable results. SARIMA model chosen M-LTLF in this study, the model’s parameters are tuned. This study takes electricity consumption data whole Yunnan as research object. Among them, from 2008 2018 used a training sample fitting analysis, province predicted 2019 2020. end results demonstrate viability...

Prefabricated tunnel joints, crucial for connecting concrete components, require excellent mechanical performance and construction convenience. However, the current joint technology cannot fully meet requirements. This article introduces a new connection prefabricated which was called rebar lap-spliced UHPC-filled connections, based on Guangzhou engineering. It is noted that anchorage plate mounted at end to assume safety. To ensure feasibility of this novel in practical engineering, 12...