Wyniki wyszukiwania - BazTech

1

Risk of the maritime supply chain system based on interpretative structural model

He J., Xiong W., Cao Y.

Polish Maritime Research

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2017

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S 3

28--33

EN

Marine transportation is the most important transport mode of in the international trade, but the maritime supply chain is facing with many risks. At present, most of the researches on the risk of the maritime supply chain focus on the risk identification and risk management, and barely carry on the quantitative analysis of the logical structure of each influencing factor. This paper uses the interpretative structure model to analysis the maritime supply chain risk system. On the basis of comprehensive literature analysis and expert opinion, this paper puts forward 16 factors of maritime supply chain risk system. Using the interpretative structure model to construct maritime supply chain risk system, and then optimize the model. The model analyzes the structure of the maritime supply chain risk system and its forming process, and provides a scientific basis for the controlling the maritime supply chain risk, and puts forward some corresponding suggestions for the prevention and control the maritime supply chain risk.

2

A conceptual model of excellent performance mode of port enterprise logistics management

He J., Xiong W., Cao Y.

Polish Maritime Research

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2017

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S 3

34--40

EN

Port as one of the key hubs of international logistics, which has become the main part and the base of global logistics management. The port enterprises, plays an important role in the global supply chain. However, due to the lack of understanding in port supply chain management, coordination between the port enterprises, the integration of business process is not perfect, the lack of information sharing between various organizations, ports enterprises usually failed to fully play its positive role. Based on this, the paper makes the port enterprises as the research object, and introduces the excellent performance mode into the port enterprises. In order to study the port enterprises how to carry out effective quality management, and formation the coordination and integration of upstream and downstream of enterprises, so as to realize the competitive advantage in port logistics.

3

Establishment and validation of quantitative analysis of multi-components by single-marker for quality assessment of compound danshen preparations

Xiong W., Yan R. Q., Liu Y. N., Peng S. W., Jiang Z. Z., Chai X., Qi A. D., Wang Y. F.

Acta Chromatographica

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2014

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Vol. 26, no. 4

695--710

EN

Compound danshen preparations (CDPs) are used clinically for the treatment of cardiovascular and cerebrovascular diseases. By using the quantitative analysis of multi-components by single-marker (QAMS) method, sixteen compounds (danshensu, protocatechuic acid, protocatechuicaldehyde, caffeic acid, rosmarinic acid, lithospermic acid, notoginsenoside R1, salvianolic acid B, ginsenoside Rg1, ginsenoside Re, salvianolic acid A, salvianolic acid C, ginsenoside Rb1, ginsenoside Rd, cryptotanshinone, and tanshinone IIA were quantified on an ACQUITY ultraperformance liquid chromatography (UPLC) HSS T3 column (2.1 × 100 mm, 1.8 μm) with the mobile phase consisting of 0.1% formic acid aqueous solution (A) and acetonitrile (B) using a gradient elution at the flow rate of 0.30 mL/min in 30 min at 30°C, which was also validated by UPLC-diode array detection (DAD) and UPLC-electrospray ionization multistage/mass spectrometry (ESI-MS/MS) for assuring the feasibility and accuracy. Tested by robustness experiment under slightly changeable conditions, the stability of relative correction factor (RCF) proved to be stable, with RSDs below 5.69%, except for notoginsenoside R1 with relative standard deviation (RSD) 7.83%. This reliable and convenient QAMS method resolved the problem of standard substance insufficiency and improved the quality assessment of preparations consisting of complex compounds with different chemical structures, such as CDPs.

4

A Data Dissemination Algorithm using Multi-Replication in Wireless Sensor Networks

Gao C., Hu X., Guo L., Xiong W., Gao H.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 1b

91--93

EN

Many data dissemination techniques have been proposed to facilitate data storage and query processing. In this paper, we propose a Multi-Replication Storage (MRS) algorithm in Wireless Sensor Networks (WSNs). In MRS scheme, sensing data is collected and stored at the home nodes, which form an s-hop dominating set of the whole network. Meanwhile, each home node has some replication nodes, when the home node receives a data, it will send data copies to the replica nodes in order to facilitate data query. So the MRS algorithm can provide timely responses to queries. Moreover, proposed data dissemination scheme also discusses load balance. Analysis and simulations are conducted to evaluate the performance of our MRS algorithm. The results show that the MRS algorithm outperforms the external storage (ES) based scheme, local storage (LS) based scheme and the data-centric storage (DCS) based scheme.

PL

W celu gromadzenia i przeszukiwania danych stosuje się wiele technik rozpraszania danych. W prezentowanym opracowaniu proponujemy zastosowanie w bezprzewodowych sieciach czujnikowych algorytmu MRS (gromadzenie przy pomocy wielokrotnej replikacji).W schemacie MRS dane gromadzone i magazynowane są w węzłach wewnętrznych, które tworzą s-przeskokowy układ obowiązujący w całej sieci. Każdy węzeł wewnętrzny ma kilka węzłów replikacji i, w celu ułatwienia przeszukiwania, kopiuje do nich gromadzone przez siebie dane. Tak więc proponowany schemat rozpraszania może zapewnić przeszukiwanie w odpowiednim czasie. W opracowaniu zbadano również zrównoważenie obciążenia. Przeprowadzono analizę i symulację zaproponowanego algorytmu MRS. Wyniki pokazują, że algorytm MRS przewyższa schematy oparte o gromadzenie zewnętrzne (ES), gromadzenie lokalne (LS) i gromadzenie w centrach danych (DCS).