Geotechnical applications of electrical borehole logging in southern Saskatchewan

1980 ◽  
Vol 17 (4) ◽  
pp. 545-558 ◽  
Author(s):  
E. Karl Sauer

Single point resistance and spontaneous potential geophysical borehole logging is shown to be a valuable supplement to conventional coring methods in geotechnical site exploration. A continuous graphical record of the sediments is obtained without gaps caused by sample recovery problems. The log provides an effective capability for stratigraphic correlation. The technique is also shown to be of value as a format for a borehole data base and for use in instrumentation design such as piezometers and observation wells. The technique has limitations such as drift and maintenance difficulties but these can be overcome by adequate field supervision. Over 7000 testholes have been logged successfully and are in data storage in Saskatchewan.

2019 ◽  
Vol 9 (23) ◽  
pp. 5024
Author(s):  
Andrian ◽  
Kim ◽  
Ju

In space science research, the Indonesia National Institute of Aeronautics and Space (LAPAN) is concerned with the development of a system that provides actual information and predictions called the Space Weather Information and Forecast Services (SWIFtS). SWIFtS is supported by a data storage system that serves data, implementing a centralized storage model. This has some problems that impact to researchers as the primary users. The single point of failure and also the delay in data updating on the server is a significant issue when researchers need the latest data, but the server is unable to provide it. To overcome these problems, we proposed a new system that utilized a decentralized model for storing data, leveraging the InterPlanetary File System (IPFS) file system. Our proposed method focused on the automated background process, and its scheme would increase the data availability and throughput by spreading it into nodes through a peer-to-peer connection. Moreover, we also included system monitoring for real-time data flow from each node and information of node status that combines active and passive approaches. For system evaluation, the experiment was performed to determine the performance of the proposed system compared to the existing system by calculating mean replication time and the mean throughput of a node. As expected, performance evaluations showed that our proposed scheme had faster file replication time and supported high throughput.


2020 ◽  
Vol 10 (1) ◽  
pp. 140-146
Author(s):  
Klaus Böhm ◽  
Tibor Kubjatko ◽  
Daniel Paula ◽  
Hans-Georg Schweiger

AbstractWith the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles. Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US EDR regulation (NHTSA 49 CFR Part 563.7) is proposed. The working group AHEAD, to which the authors contribute, has already elaborated a data model that fits the needs of automated driving. The structure of this data model is shown. Moreover, the special benefits of storing internal video or photo feeds form the vehicle camera systems combined with object data is illustrated. When using a sophisticate 3D measurement method of the accident scene the videos or photos can also serve as a control instance for the stored vehicle data. The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned roadmap of the Informal Working Group (IWG) on EDR/ DSSAD (Data Storage System for Automated Driving) reporting to UNECE WP29. Also, a data access over the air using technology already applied in China for electric vehicles called Real Time Monitoring would allow a quantum leap in forensic accident reconstruction.


Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 286 ◽  
Author(s):  
Yonggen Gu ◽  
Dingding Hou ◽  
Xiaohong Wu ◽  
Jie Tao ◽  
Yanqiong Zhang

Distributed data storage has received more attention due to its advantages in reliability, availability and scalability, and it brings both opportunities and challenges for distributed data storage transaction. The traditional transaction system of storage resources, which generally runs in a centralized mode, results in high cost, vendor lock-in and single point failure risk. To overcome the above shortcomings, considering the storage policy with erasure coding, in this paper we propose a decentralized transaction method for cloud storage based on a smart contract, which takes into account the resource cost for distributed data storage. First, to guarantee the availability and decrease the storing cost, a reverse Vickrey-Clarke-Groves (VCG) based auction mechanism is proposed for storage resource selection and transaction. Then we deploy and implement the proposed mechanism by designing a corresponding smart contract. Especially, we address the problem of how to implement a VCG-like mechanism in a blockchain environment. Based on the private chain of Ethereum, we make the simulation for the proposed storage transaction method. The results of simulation show that the proposed transaction model can realize competitive trading of storage resources and ensure the safe and economic operation of resource trading.


Author(s):  
Mohammad Hanan Bhat

: Plant health monitoring has been a significant field of research since a very long time. The scope of this research work conducted lies in the vast domain of plant pathology with its applications extending in the field of agriculture production monitoring to forest health monitoring. It deals with the data collection techniques based on IOT, pre-processing and post-processing of Image dataset and identification of disease using deep learning model. Therefore, providing a multi-modal end-to-end approach for plant health monitoring. This paper reviews the various methods used for monitoring plant health remotely in a non-invasive manner. An end-to-end low cost framework has been proposed for monitoring plant health by using IOT based data collection methods and cloud computing for a single-point-of-contact for the data storage and processing. The cloud agent gateway connects the devices and collects the data from sensors to ensure a single source of truth. Further, the deep learning computational infrastructure provided by the public cloud infrastructure is exploited to train the image dataset and derive the plant health status


Author(s):  
H. L. Johannesson

Abstract In this work the problem of designing a CAD-system independent product model data base, to be used in computer aided elastomeric seal design, is treated. It is shown how a general purpose turn-key CAD-system can be used together with an external product model data base and external calculation programs. The importance of storing product information in a CAD-system independent data base instead of on drawings in one particular CAD-system is pointed out. This is of special interest from long time storage point of view, as product related information is expected to live longer in a manufacturing company than one particular CAD-system. In order to be able to transmit data between the CAD-system and the external product model data base, and between the data base and the external calculation programs, special interfaces must be designed. Here it is demonstrated how such interface programs can be designed using FORTRAN 77 and a particular graphic application program language available in the CAD-system CDM 300. For the creation of the data base and for the data storage and data retrieval, the data base management system TORNADO is used. Finally the simultaneous use of the CAD-system, the external data base and the calculation program, when designing an elastomeric seal cross section, is demonstrated with a test example.


1982 ◽  
Vol 64 ◽  
pp. 115-117
Author(s):  
W. H. Warren ◽  
D. F. Alderman

AbstractThe data base of IUE spectra available for dissemination to the scientific community presently contains approximately 22,000 separate images. Due to storage space and computer processing time limitations, it was decided to store the data on high density (6250 bpi) specially formatted tapes and to retrieve and reconvert them to the originally supplied format upon request. The archival/retrieval system for the data and an automatic data entry system for creation and maintenance of an indexing data base are described. Suggestions are made for the use of standard formats for future image data storage, retrieval and dissemination.


2020 ◽  
Vol 42 (3) ◽  
pp. 8-11
Author(s):  
Bonnie Lawlor

AbstractI first heard of blockchain technology at a conference in 2017 when Christopher Wilmer, Assistant Professor at the University of Pittsburgh and Managing Editor of Ledger, [1] gave a presentation on the technology. While he did mention Bitcoin and other cryptocurrencies with which the technology was originally associated, Wilmer’s talk explained how his journal uses blockchain for proof-of-publication. He commented that as a data-storage mechanism, “blockchains are well-suited to be used in scholarly publishing because they are extremely resilient, tamper-proof, practically indestructible databases; there is no single point of failure or cost of operation; and there is an incontrovertible proof-of-publication date, even across countries and institutions whose incentives are not aligned (which is sometimes a point of contention for scientists racing to discover cure/new theorem/etc.)” [2].


10.29007/1tln ◽  
2018 ◽  
Author(s):  
Julie Jupp ◽  
Ramsey Awad

Change plays a significant role in the implementation of any building information modelling (BIM) initiative. For owners transitioning from a traditional asset management (AM) and/ or facilities management (FM) approach to one supported by BIM, change management is required due to the technological and organizational transformation involved. Yet little is known about the characteristics of change and how it can be more effectively managed. Based on a case study, this paper provides an example of a change strategy employed by a university’s project delivery and operations teams to support the integration of BIM and FM. It describes a ‘niche project’ change management strategy and its key attributes during the early stages of a tertiary education owner/operator’s transition to a model-based approach to asset and facilities management, providing a single point of truth for data storage, and supporting 3D visualisation, digital work order processing, and mobility in the field.


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