scholarly journals Fire Equipment Information Traceability System based on Blockchain

2021 ◽  
Vol 251 ◽  
pp. 03099
Author(s):  
Xianglong Bao
Keyword(s):  
Response Time ◽  
Fire Fighting ◽  
System Environment ◽  
Average Value ◽  
Traceability System ◽  
Query Response Time ◽  
Information Logistics ◽  
Time Average ◽  
Logistics Information

To solve the problems of centralization, tampering, incomplete storage, and privacy of fire fighting equipment traceability system, this paper proposes a fire fighting equipment information traceability system based on blockchain. The system is developed on the Fabric blockchain platform of Hyperledger. The system environment is equipped with three organizations: manufacturer, dealer, and consumers, and the query request is initiated with the traceability function of fire fighting equipment in the chaincode. Finally, through the certificate authentication user account can realize the fire fighting equipment information inquiry, and the query response time average value is 19.5 ms. The characteristics of blockchain are difficult to tamper with, timestamp and transaction traceability, which can be well applied to the traceability system of fire fighting equipment, which makes the traceability function of the system more perfect, and consumers can get all traceability information, including production information, logistics information and usage information of fire fighting equipment.

The Effects of Modulation on an RF Discharge in Silane and on the Deposited a-Si:H

1987 ◽  
Vol 98 ◽  
Author(s):  
L. J. Overzet ◽  
J. T. Verdeyen ◽  
R. M. Roth ◽  
F. F. Carasco
Keyword(s):  
Electron Density ◽  
Average Power ◽  
Optical Emission ◽  
Rf Discharge ◽  
Absorption Coefficients ◽  
Average Value ◽  
Optical Bandgaps ◽  
Time Average ◽  
Substrate Temperatures ◽  
Attachment Process

ABSTRACTThe time evolution of the electron density and the optical emission intensity in response to a square wave modulated RF excitation of helium-silane mixtures has been studied and compared to that for the more conventional CW discharge. In addition, the films deposited from CW and modulated RF glows have-been compared on the basis of absorption coefficients and photoconductivities. Films deposited from modulated glows at substrate temperatures below 200°C have significantly smaller optical bandgaps than those deposited from comparable CW discharges. The bulk electron density in the modulated discharge undergoes a complex temporal variation and its time average value can be significantly larger than that in the CW glow despite the lower average power. A dissociative attachment process involving silane radicals, SiHn (n = 1 to 3), is identified as the most probable cause.

scholarly journals Real-life data – a characteristic of RA in patients with cardiovascular diseases on the background of treatment with biological agents

2019 ◽  
pp. 10-17
Keyword(s):  
Cardiovascular Diseases ◽  
Real Life ◽  
Biological Agents ◽  
Mean Values ◽  
Average Value ◽  
Life Data ◽  
Real Life Data ◽  
Significant Difference ◽  
Time Average ◽  
Therapeutic Behavior

The purpose of this study is to analyze real-life data in order to characterize patients with RA and cardiovascular diseases that are treated with biological agents. Material and Methods: In a retrospective study, data from real clinical practice were analyzed in 195 patients with seropositive RA, which are being treated with biological agents. Results: In patients with existing CVD, significantly higher mean ESR values ​​(23.95 vs. 19.31, p = 0.031) and CRP (6.41 vs. 3.36, p = 0.004) were detected over the period of the study period of treatment. In contrast to the laboratory parameters, mean values of clinical parameters of RA - TJC, SJC and VAS clinical sings did not show a significant difference in patients with and without CVD. The time average value of DAS28 (ESR) during the study period was significantly higher in patients with CVD (3.7 vs. 3.39, p = 0.002) compared to those without CVD. DAS28 (CRP) shows the same trend. In patients with CVD, the time average value of the follow-up indicator was 3.21, and in patients without CVD, 2.88 (p <0.001). Conclusion: The results of this study, in PA patients conducting treatment with biological agents in the real life, outside of the clinical study conditions, demonstrate that independently of treatment, patients with CVD continue to maintain higher background inflammation. An optimization of therapeutic behavior in real life is necessary to improve the long-term prognosis of these patients.

Framework for GeoSpatial Query Processing by Integrating Cassandra With Hadoop

2019 ◽  
pp. 353-388
Author(s):  
S. Vasavi ◽  
Mallela Padma Priya ◽  
Anu A. Gokhale
Keyword(s):  
Response Time ◽  
Query Processing ◽  
Geospatial Data ◽  
Distributed Data ◽  
Nosql Databases ◽  
Storage And Retrieval ◽  
Query Response Time ◽  
Partitioning Algorithm ◽  
Hadoop Framework ◽  
Partitioning Technique

We are moving towards digitization and making all our devices, such as sensors and cameras, connected to internet, producing bigdata. This bigdata has variety of data and has paved the way to the emergence of NoSQL databases, like Cassandra, for achieving scalability and availability. Hadoop framework has been developed for storing and processing distributed data. In this chapter, the authors investigated the storage and retrieval of geospatial data by integrating Hadoop and Cassandra using prefix-based partitioning and Cassandra's default partitioning algorithm (i.e., Murmur3partitioner) techniques. Geohash value is generated, which acts as a partition key and also helps in effective search. Hence, the time taken for retrieving data is optimized. When users request spatial queries like finding nearest locations, searching in Cassandra database starts using both partitioning techniques. A comparison on query response time is made so as to verify which method is more effective. Results show the prefix-based partitioning technique is more efficient than Murmur3 partitioning technique.

Framework for GeoSpatial Query Processing by Integrating Cassandra With Hadoop

2018 ◽  
pp. 1-41
Author(s):  
S. Vasavi ◽  
Mallela Padma Priya ◽  
Anu A. Gokhale
Keyword(s):  
Response Time ◽  
Query Processing ◽  
Geospatial Data ◽  
Distributed Data ◽  
Nosql Databases ◽  
Storage And Retrieval ◽  
Query Response Time ◽  
Partitioning Algorithm ◽  
Hadoop Framework ◽  
Partitioning Technique

We are moving towards digitization and making all our devices, such as sensors and cameras, connected to internet, producing bigdata. This bigdata has variety of data and has paved the way to the emergence of NoSQL databases, like Cassandra, for achieving scalability and availability. Hadoop framework has been developed for storing and processing distributed data. In this chapter, the authors investigated the storage and retrieval of geospatial data by integrating Hadoop and Cassandra using prefix-based partitioning and Cassandra's default partitioning algorithm (i.e., Murmur3partitioner) techniques. Geohash value is generated, which acts as a partition key and also helps in effective search. Hence, the time taken for retrieving data is optimized. When users request spatial queries like finding nearest locations, searching in Cassandra database starts using both partitioning techniques. A comparison on query response time is made so as to verify which method is more effective. Results show the prefix-based partitioning technique is more efficient than Murmur3 partitioning technique.

scholarly journals Unified Traceability Information System of Logistics Pallet Based on the Internet of Things

2013 ◽  
Vol 765-767 ◽  
pp. 1181-1185 ◽  
Author(s):  
Xing Zhi Lin
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Internet Technology ◽  
The Internet ◽  
Coupling Mechanism ◽  
Logistics Information System ◽  
Traceability System ◽  
Logistics Information ◽  
Intelligent Logistics ◽  
The Internet Of Things

The paper focuses on the intelligent logistics pallet, networking, traceability information technology and unified logistics information system, and puts forward unified traceability information system of intelligent logistics pallet based on the Internet of things (IOT), displaying innovative system realization method and technical system. IOT intelligent logistic pallet traceability system is an integrated fusion application of RFID, GIS, GPS, computer telecommunication integration together with Internet technology; in system design and implementation, TOT and RFID coupling mechanism, CTI and API interface programming are adopted for construction of three intelligent system service architecture of logistics pallet traceability system including application, business and physics; in the logistics pallet regular operation, reading and writing RFID equipments, labels and telecommunications network, Internet, and other unified information communication mode are fused into the intelligent logistics information system, so as to realize the intelligent logistics pallet identity identification and traceability function. The system test output results indicate that, intelligent logistics pallet unified information system is equipped with intelligent recognition, management and tracing function and business process reengineering capacity including production promotion, distribution, transport logistics and allocation.

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