scholarly journals DIGITALIZATION OF CONTAINER TRANSPORT BY RAIL AS A NEW STAGE OF LOGISTICS DEVELOPMENT IN RUSSIA

2020 ◽  
pp. 89-99
Author(s):  
Maria Y. Artamonova ◽  
Dmitry A. Zemlyankin
Keyword(s):  
Cloud Services ◽  
Rail Transportation ◽  
It Services ◽  
Container Transportation ◽  
Railway Transport ◽  
Logistics Industry ◽  
Container Transport ◽  
It Integration ◽  
Speed Up ◽  
And Storage

The work is devoted to solving the problem of the insufficient level of digitalization of logistics industry, in particular, container transportation on Russian railways. The aim of the work is to determine the level of development of IT integration in railway transport based on consideration of one of the most modern trends - cloud services or “marketplaces. Today, in order to maintain positions in the cargo transportation market, it is necessary to develop digital services. Russian rail transportation market has always been conservative. To change it, it is necessary to introduce innovative developments actively: new IT services that are not on the container market yet. The paper proposes to work out the issue of using mathematical modeling of each cell of the transport process, including the collection of transportation video analytics, to create a "transport marketplace" from various data groups based on cloud technology. The implementation of these proposals will help to track cargo, speed up logistics processes and become a new driver for business, thereby saving time and money on paperwork and storage, faster customs operations with cargo.

scholarly journals ASSESSMENT OF CONDITION AND DEVELOPMENT PROSPECTS OF CONTAINER TRANSPORTATION BY INLAND WATER TRANSPORT

2020 ◽  
pp. 123-137
Author(s):  
Valery I. Mineev ◽  
Valery M. Ivanov ◽  
Mikhail V. Ivanov
Keyword(s):  
Water Transport ◽  
Growth Dynamics ◽  
Rail Transportation ◽  
Container Shipping ◽  
Container Transportation ◽  
Inland Water ◽  
Container Transport ◽  
Steady Growth ◽  
Absolute Growth ◽  
Inland Water Transport

The article provides an analysis of the development of the container transport market at the international and domestic levels. It is noted that despite the absolute growth in the volume of container traffic in recent years its growth rate has been decreasing since 2005. An increase in traffic was noted in the main directions, including the Europe – Asia – Europe direction, the trans-Pacific and trans-Atlantic directions. The largest increase in container traffic over the period under review occurred in the Europe - Asia direction. In the Russian container shipping market, rail transportation is showing steady growth dynamics. Container shipping by water in 2017 amounted to only 4% of the total container shipping in Russia. Inland water transport amounted to 0.5%, which indicates their practical termination. Possible routes and the main factors restraining the development of container transportation by inland water transport are considered. The main problems that hinder the development of container traffic in general and in water transport in particular are identified. Possible solutions to the identified problems of the development of cargo transportation in containers with emphasis on the primary use of inland water transport are proposed.

Ensuring Safety of Industrial Cargo by Rail Transportation at the Mining Enterprises

2021 ◽  
pp. 56-62
Author(s):  
V.V. Kupriyanov ◽  
◽  
I.S. Bondarenko ◽  
Keyword(s):  
Information Filtering ◽  
Mining Industry ◽  
Organizational Factors ◽  
Rail Transportation ◽  
Railway Transport ◽  
Control Factors ◽  
Detailed Assessment ◽  
Personnel Safety

The common problem was studied concerning the personnel safety and the operation of railway transport during industrial cargo transportation. Statistical and technical analysis were conducted related to the conditions and reasons of railway accidents caused by various hazardous factors and occurred over the past 15 years in the mining industry of Russia. The study based on natural, technical, and organizational factors showed that there is a steady tendency towards the preservation of the number of accidents such as train collisions, fires, and derailments. Despite the measures taken, such accidents do occur resulting in fatal accidents. The situation is explained by the fact that safety of rail transport is conditioned by the factors that can be divided into difficult-to-control and complex (coordinated by action). The differences between complex factors caused by the railway technology and difficult-to-control factors, which include natural factors or their combination with the stimulated factors are studied in the article. Study of the evidence including the details of the development of fires and derailments of trains from the rails, the consequences of such accidents and conclusions about their causes shows that the additional calculations and classification of the difficult-to-control factors in combination with other causes allow to give a more detailed assessment of the nature of difficult-to-control factors and the interrelationship between them. Through this it becomes possible to detect the maximum number of violations. It is concluded that improving railway safety is possible only with a differentiated approach to the role of each group of factors including difficult-to-control factors, and the ability of personnel to influence the occurrence and development of accidents. The time characteristics of railway accidents are considered. The idea of automated information filtering of clogged messages in the analysis of accidents is formulated.

scholarly journals An Open-Source Cloud-FPGA Gene Regulatory Accelerator

2021 ◽  
Author(s):  
Lucas Bragança ◽  
Jeronimo Penha ◽  
Michael Canesche ◽  
Dener Ribeiro ◽  
José Augusto M. Nacif ◽  
...  
Keyword(s):  
Open Source ◽  
Gene Regulatory Networks ◽  
High Performance ◽  
Regulatory Networks ◽  
Cloud Services ◽  
On Demand ◽  
Speed Up ◽  
Gene Regulatory ◽  
High Level ◽  
Better Than

FPGAs are suitable to speed up gene regulatory network (GRN) algorithms with high throughput and energy efficiency. In addition, virtualizing FPGA using hardware generators and cloud resources increases the computing ability to achieve on-demand accelerations across multiple users. Recently, Amazon AWS provides high-performance Cloud's FPGAs. This work proposes an open source accelerator generator for Boolean gene regulatory networks. The generator automatically creates all hardware and software pieces from a high-level GRN description. We evaluate the accelerator performance and cost for CPU, GPU, and Cloud FPGA implementations by considering six GRN models proposed in the literature. As a result, the FPGA accelerator is at least 12x faster than the best GPU accelerator. Furthermore, the FPGA reaches the best performance per dollar in cloud services, at least 5x better than the best GPU accelerator.

Development of Automatic Storage Retrieval System for Variable Loads

2021 ◽  
Vol 18 (1) ◽  
pp. 99
Author(s):  
Afzeri Tamsir
Keyword(s):  
Data Storage ◽  
Integrated System ◽  
Numerical Control ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Speed Up ◽  
Automated Storage ◽  
Warehousing Systems ◽  
And Storage ◽  
Carrier Element

 Automated Storage and Retrieval Systems (ASRS) have been widely used in warehousing systems to speed up load movements and save storage space. ASRS is an integrated system that is equipped with a controller and arm for the collection and storage of goods. This paper discusses the results of developing a system for taking and storing goods for various loads. The prototype element consists of a mechanism for retrieving, placing and application for data collection into the database. In this research, the design and development of ASRS was carried out to be applied in the storage of products of various sizes which is suitable for small size industries. The development process includes investigating features that have been developed in the ASRS, operating procedures, hardware selection and software development in accordance with the mechanism designed. Numerical control which moves the carrier element with high resolution is applied to be able to place the load in a changing position. Development and testing is carried out to ensure the performance of the tool runs well and the data storage that includes the identification and size of the load can be recorded properly.

Big Data Analytics

2018 ◽  
pp. 124-138
Author(s):  
Sreenu G. ◽  
M.A. Saleem Durai
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Real Life ◽  
Big Data Analytics ◽  
Speed Up ◽  
Processing Techniques ◽  
And Storage ◽  
Big Data Computing ◽  
New Algorithms ◽  
Over Time

Advances in recent hardware technology have permitted to document transactions and other pieces of information of everyday life at an express pace. In addition of speed up and storage capacity, real-life perceptions tend to transform over time. However, there are so much prospective and highly functional values unseen in the vast volume of data. For this kind of applications conventional data mining is not suitable, so they should be tuned and changed or designed with new algorithms. Big data computing is inflowing to the category of most hopeful technologies that shows the way to new ways of thinking and decision making. This epoch of big data helps users to take benefit out of all available data to gain more precise systematic results or determine latent information, and then make best possible decisions. Depiction from a broad set of workloads, the author establishes a set of classifying measures based on the storage architecture, processing types, processing techniques and the tools and technologies used.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

Cloud Robotics

2020 ◽  
pp. 2027-2040
Author(s):  
K. Saravanan
Keyword(s):  
High Speed ◽  
Cloud Services ◽  
Cloud Robotics ◽  
Robot Intelligence ◽  
Future Challenges ◽  
Complete Study ◽  
5G Technologies ◽  
Cloud Technologies ◽  
And Storage ◽  
Robotic Evolution

Cloud robotics is an emerging field which enables the web enabled robots to access the cloud services on the fly. Cloud Robotics was born by merging robotics with the cloud technologies. The robot intelligence is no more in the robot itself but remotely executed on the cloud. Robot acts as thin-client. There are several frameworks already in development and still growing. With the help of high speed networks using 4G/5G technologies, offloading of computation and storage in cloud is the further step in robotic evolution. This chapter deals the exploration of cloud robotics with its architecture, applications and existing frameworks. Also, existing research carried out is summarized in this chapter. The future challenges are discussed to foresee the opportunities in cloud robotics. It aims for the complete study on how robots leverages the cloud computing.

scholarly journals Cloud services as the ultimate gate(keeper)

2019 ◽  
Vol 7 (2) ◽  
pp. 220-248
Author(s):  
Björn Lundqvist
Keyword(s):  
Service Providers ◽  
Cloud Services ◽  
Business Strategies ◽  
Cloud Provider ◽  
Goods And Services ◽  
Use Of Data ◽  
Cloud Providers ◽  
And Storage ◽  
The Internet Of Things ◽  
Gain Access

Abstract In the Internet of Things (IoT), the amount and smart use of data will determine whether or not a firm can compete successfully. Manufacturing firms will collect data through sensors in their devices and, at least in the cases of SMEs, likely store the collected data in the cloud, purchasing cloud services and storage from the large e-platform providers doubling as cloud providers. The e-platform providers will also collect data from users of their other services. These data are often generated by the same firms that purchase cloud services when they use the e-platforms to sell goods and services. Access to the data and to data analytics on fair business terms, and the possibility to switch cloud and service providers are vital for the SMEs and, in general, to create a competitive and vibrant IoT. However, cloud and e-platform customers seem to be facing difficulties. According to the EU Commission, SMEs are finding it particularly hard to engage cloud and e-platform providers, and to gain access to cloud services on reasonable, transparent terms. The contracts are skewed in favour of the cloud providers. The customers get locked in and may be obliged to agree not to assert any of their intellectual property rights vis-à-vis the cloud provider or the cloud provider’s network. Moreover, the cloud and e-platform providers may under certain circumstances access and make use of the users’ data, and that may give them a competitive advantage vis-à-vis the users, since the providers may have access to much more data, even data originating from the users’ competitors, suppliers, customers, etc. They can thus use all the data available to them to obtain a fuller picture of whole industries, and they may use that advantage in data to leverage and enter users’ markets. Indeed, they may use the data in the cloud for data-driven business strategies to enter the core market of the firms that have provided them with data in the first place. This article discusses whether competition law can address the conduct of the cloud and e-platform providers, so that firms may access and make use of all the possibilities that the IoT harbours.

scholarly journals A sampling-based multi-tree fusion algorithm for frontier detection

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141986542
Author(s):  
Wenchuan Qiao ◽  
Zheng Fang ◽  
Bailu Si
Keyword(s):  
Block Structure ◽  
Decisive Role ◽  
Random Trees ◽  
Fusion Algorithm ◽  
Autonomous Exploration ◽  
Block Play ◽  
Speed Up ◽  
Memory Resources ◽  
And Storage ◽  
Slow Growing

Autonomous exploration is a key step toward real robotic autonomy. Among various approaches for autonomous exploration, frontier-based methods are most commonly used. One efficient method of frontier detection exploits the idea of the rapidly-exploring random tree and uses tree edges to search for frontiers. However, this method usually needs to consume a lot of memory resources and searches for frontiers slowly in the environments where random trees are not easy to grow (unfavorable environments). In this article, a sampling-based multi-tree fusion algorithm for frontier detection is proposed. Firstly, the random tree’s growing and storage rules are changed so that the disadvantage of its slow growing under unfavorable environments is overcome. Secondly, a block structure is proposed to judge whether tree nodes in a block play a decisive role in frontier detection, so that a large number of redundant tree nodes can be deleted. Finally, two random trees with different growing rules are fused to speed up frontier detection. Experimental results in both simulated and real environments demonstrate that our algorithm for frontier detection consumes fewer memory resources and shows better performances in unfavorable environments.

Comprehensive Evaluation Based on AHP-Fuzzy about the Conception of Underground Container Transportation Lines in Shanghai

2011 ◽  
Vol 71-78 ◽  
pp. 175-181 ◽  
Author(s):  
Cheng Zhang ◽  
Si Wei Wang
Keyword(s):  
Transport System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Actual Situation ◽  
Container Transportation ◽  
Container Transport ◽  
System A ◽  
Transportation Capacity ◽  
Functional Orientation ◽  
Set Up

Through the research and analysis of Shanghai Port Container transportation capacity, we can see that the construction of underground container transport system is important to transfer Shanghai into an international hub. Combined the functional orientation of the concept program of underground container lines with the underground characteristics of the container transport system, a system of evaluation target has been set up. Sorted the concept lines by using AHP-Fuzzy comprehensive evaluation, the result can reflect the actual situation of concept lines objectively, and can also provide optimizational service for the concept program of underground container line.

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