scholarly journals A Narravite Cloud Storage Management using Multi-level Semantic Bonding Technique

2019 ◽  
Vol 8 (2S11) ◽  
pp. 449-453
Keyword(s):  
Cloud Storage ◽  
Clustering Algorithms ◽  
Storage Management ◽  
Storage And Retrieval ◽  
Management Algorithm ◽  
Semantic Classes ◽  
Indexing And Retrieval ◽  
Multi Level ◽  
Semantic Ontology ◽  
And Storage

The problem of cloud storage management has been well studied. The growing size and types of data increases the challenge in storage and retrieval. Number of approaches has been discussed for the problem of storage management. Text based clustering algorithms and Semantic based approaches are defined to improve the performance of storage management. However, the methods suffer to achieve higher performance in indexing and retrieval in terms of storage management. To solve this issue, an efficient semantic bonding measure based clustering and data management algorithm is presented. The method maintains ontology of various classes where each class has been mentioned in multiple levels. Each level of a class has specific properties and values. Using the semantic ontology, the method estimates MSB (Multi-level semantic Bonding) measure for different class of data. The same has been estimated for different level of semantic classes. Indexing of document class is performed based on MSB where the documents similarity has been measured using Topical Closure Measure (TCM). According to the value of TCM, the documents which are similar are identified and merge. The proposed algorithm improves the performance of document clustering and storage management in cloud environment

scholarly journals Architectural Framework for Intelligent and Secure Aadhar Data Management Synchronized with both Offline and Online Transaction Systems

2020 ◽  
Vol 9 (3) ◽  
pp. 3105-3117
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage Management ◽  
National Database ◽  
Service Provisioning ◽  
Unique Identity ◽  
Architectural Framework ◽  
Efficient Data ◽  
The Government ◽  
And Storage

The information of the citizens identity are reposited in the national database system that demands higher degree of security features in order to combat the privacy problems associated with it. The information retained within an identity of a citizen is highly valuable as well as sensitive as it is constructed by integrating various forms of biometric trails e.g. iris, fingerprint etc along with their personal details. Aadhar is one of such initiatives by Government of India by their “Unique Identification Authority of India (UIDAI) project” that generates 12-digit random number as unique identity. The Government of India is in progressive approach to integrate various social and security related applications to Aadhar in order to achieve identification-based service provisioning. In the recent news, Aadhar details have been reported to be encountered a serious security breach that endangered the private details of the Aadhar card holders. Therefore, a robust and efficient secure eco-system is required to keep national ID database secure. This chapter aims to describe novel framework for Aadhar data privacy and storage management by adopting efficient data blockage and transformation over cloud storage using statistical method based on data embedding by blocking and transformation.

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

Research on Logistics Warehouse Management Information System Based on RFID

2014 ◽  
Vol 687-691 ◽  
pp. 4906-4909
Author(s):  
Yan Li Wang ◽  
Ji Meng Du ◽  
Sai Sai Xu
Keyword(s):  
Information System ◽  
Management Information System ◽  
Storage Management ◽  
Rfid Technology ◽  
Warehouse Management ◽  
Management Information ◽  
Storage Service ◽  
Function Module ◽  
Process Structure ◽  
And Storage

Because of a vast amount of business process, difficult tracking, low turnover efficiency, processing of logistics management information behind time and with antiquated means, the application of advanced RFID technology in the field of logistics and storage management is proposed to solve the above problems on the basis of analyzing the shortages. In this paper, the logistics warehouse management information system based on RFID is conducted. The working flow and process structure of the logistics and storage arc given on the basis of analysis of the traditional logistics and storage service flow. The integral framework of the logistics and storage service system based on RFID technology is established. This thesis mainly does research about the pattern of RFID application in warehouse, the system framework and the information flow. On the base, it designs the information system and realizes its function module.

Relocation and Storage Assignment Strategies Evaluation in a Multiple-deep Tier-captive Automated Vehicles Storage and Retrieval System with Undetermined Retrieval Sequence

2021 ◽  
Author(s):  
Jakob Marolt ◽  
Nenad Kosanić ◽  
Tone Lerher
Keyword(s):  
Retrieval System ◽  
Discrete Event ◽  
Nearest Neighbour ◽  
Throughput Performance ◽  
Storage And Retrieval ◽  
Event Simulation ◽  
Retrieval Systems ◽  
Storage Assignment ◽  
And Storage

Abstract This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RS) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock-keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual command cycle time assessment of nine different storage and relocation assignment strategies combinations in the simulation model. The results of a simulation study for (i) Random, (ii) Depth-first and (iii) Nearest neighbour storage and relocation assignment strategies combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold and sixfold deep AVS/RS outperform systems with fewer depths by utilising Depth-first storage and Nearest neighbour relocation assignment strategies.

Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data

2021 ◽  
pp. 20-32
Author(s):  
admin admin ◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Implementation Strategies ◽  
Critical Issue ◽  
Multimedia Data ◽  
Storage And Retrieval ◽  
Remote Storage ◽  
Source Transformation ◽  
Cloud Servers

Recently, the security of heterogeneous multimedia data becomes a very critical issue, substantially with the proliferation of multimedia data and applications. Cloud computing is the hidden back-end for storing heterogeneous multimedia data. Notwithstanding that using cloud storage is indispensable, but the remote storage servers are untrusted. Therefore, one of the most critical challenges is securing multimedia data storage and retrieval from the untrusted cloud servers. This paper applies a Shamir Secrete-Sharing scheme and integrates with cloud computing to guarantee efficiency and security for sensitive multimedia data storage and retrieval. The proposed scheme can fully support the comprehensive and multilevel security control requirements for the cloud-hosted multimedia data and applications. In addition, our scheme is also based on a source transformation that provides powerful mutual interdependence in its encrypted representation—the Share Generator slices and encrypts the multimedia data before sending it to the cloud storage. The extensive experimental evaluation on various configurations confirmed the effectiveness and efficiency of our scheme, which showed excellent performance and compatibility with several implementation strategies.

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.

scholarly journals A Multi–Level Approach for Simulation of Storage and Respiration of Produce

2019 ◽  
Vol 9 (6) ◽  
pp. 1052
Author(s):  
Mahmoud Elhalwagy ◽  
Nolan Dyck ◽  
Anthony Straatman
Keyword(s):  
Discrete Element Modelling ◽  
Elementary Volume ◽  
Respiration Model ◽  
Digital Generation ◽  
Flow Heat ◽  
Multi Level ◽  
Simulation Parameters ◽  
And Storage ◽  
Ultimate Purpose ◽  
Generation Procedure

A produce gas respiration model and fruit-stack geometric digital generation approach is used with commercial CFD software (ANSYS CFXTM) to conduct shape-level simulations of the fluid flow, heat and respiration processes that occur during the storage of produce, with the ultimate purpose of providing detailed information that can be used to develop closure coefficients for volume-averaged simulations. A digital generation procedure is used to develop an accurate representation of the shapes of the different produce. The produce shapes are then implemented into a discrete element modelling tool to generate a randomly-distributed stack of produce in a generic container, which is then utilized as a representative elementary volume (REV) for simulations of airflow and respiration. Simulations are first conducted on single pieces of produce and compared to a recently published experimental data for tomatoes and avocadoes to generate coefficients for the respiration model required for the shape-level simulations on the REV. The results of the shape-level simulation are then processed to produce coefficients that can be used for volume-averaged (porous-continuum-level) calculations, which are much more practical for simulations of large areas of storage comprised of hundreds or thousands of boxes of different commodities. The results show that the multi-level approach is a viable means for developing the simulation parameters required to study refrigeration, ripening and storage/transport of produce.

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