EXPERIMENTAL RETRIEVAL SYSTEMS STUDIES. REPORT NO. 2: SYSTEMS MANUAL FOR EXPERIMENTAL LITERATURE COLLECTION AND REFERENCE RETRIEVAL SYSTEM

1967 ◽  
Author(s):  
Ronald R. Anderson ◽  
Anthony F. Amico ◽  
James S. Green
Keyword(s):  
Retrieval System ◽  
Experimental Literature ◽  
Retrieval Systems ◽  
Systems Studies

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.

An Information Retrieval System Based on Portable Device

2013 ◽  
Vol 712-715 ◽  
pp. 2706-2711
Author(s):  
Xiao Qing Yu ◽  
Wen Gen Wang ◽  
Jian Hua Shi ◽  
Yun Hui Wang
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Relevant Information ◽  
Information Retrieval System ◽  
Text Indexing ◽  
Traditional System ◽  
Related Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Audio Information

Information retrieval is the activity to organize information in a certain way, and according to the users demand to find out the related information from a collection of resources. Retrieval process and technology can be based on metadata or full-text indexing. Most of the relevant information retrieval systems are devised on the computer. However, with the highly development of the embedded technology, some popular application have been developed on the platform. In this paper, we will introduce an information retrieval system on the iOS platform which is more convenient, practical, and effective compared with the traditional system. And we will introduce an application based on this system design. The experiments shown that this system was exactly effective utilized to retrieval audio information.

Hierarchical Coding/Retrieval System of Mechanically Oriented Products

2009 ◽  
Author(s):  
A. O. M. Adeoye ◽  
T. Sze´csi
Keyword(s):  
Retrieval System ◽  
Group Technology ◽  
Similarity Index ◽  
Hierarchical Classification ◽  
Priority Vector ◽  
Hierarchical Coding ◽  
Retrieval Systems ◽  
Candidate Image ◽  
Wide Range ◽  
Type Classification

Much attention has been given to parts hierarchical classification, coding and retrieval systems. Much work has been carried out in the retrieval of design images that are similar to the candidate image from the database. However, little has been said or done when it comes to using Group Technology (GT) techniques for the classification, coding and identification of products that are similar by searching through the database using a wide variety of search parameters, especially of mechanically oriented products in a manufacturing environment. This paper presents a method of using the GT to classifying, coding and retrieving of identical or similar products from a database for the purposes of Customer-Led Design, based on the principle of Group Technology classification and coding. The proposed method is based on a hybrid (Chain-Hierarchical type) classification system using a wide range of product parameters. The search and sorting procedure uses the weight factor and similarity index (SI) methods for the identification of similar products. This method generates a list of product codes for the similar products, and ranks the Product Attributes according to their priority vector. The method is successfully implemented in a new Customer-led Design (CLD) environment.

scholarly journals Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System

2019 ◽  
Vol 11 (14) ◽  
pp. 3817 ◽  
Author(s):  
Emanuele Guerrazzi ◽  
Valeria Mininno ◽  
Davide Aloini ◽  
Riccardo Dulmin ◽  
Claudio Scarpelli ◽  
...  
Keyword(s):  
Energy Recovery ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Operating Characteristics ◽  
Storage And Retrieval ◽  
Energy Evaluation ◽  
System A ◽  
Retrieval Systems ◽  
Recovery System ◽  
Automated Warehouses

With the rise of a consciousness in warehousing sustainability, an increasing number of autonomous vehicle storage and retrieval systems (AVS/RS) is diffusing among automated warehouses. Moreover, manufacturers are offering the option of equipping machines with energy recovery systems. This study analyzed a deep-lane AVS/RS provided with an energy recovery system in order to make an energy evaluation for such a system. A simulator able to emulate the operation of the warehouse has been developed, including a travel-time and an energy model to consider the real operating characteristics of lifts, shuttles and satellites. Referring to a single command cycle with a basic storing and picking algorithm for multiple-depth channels, energy balance and recovery measurements have been presented and compared to those of a traditional crane-based system. Results show significant savings in energy consumption with the use of a deep-lane AVS/RS.

Enhanced Spoken Sentence Retrieval Using a Conventional Automatic Speech Recognizer in Smart Home

2016 ◽  
Vol 25 (03) ◽  
pp. 1650017 ◽  
Author(s):  
Hyeokju Ahn ◽  
Harksoo Kim
Keyword(s):  
Information Retrieval ◽  
Smart Home ◽  
Retrieval System ◽  
Generation Model ◽  
Query Term ◽  
Post Processing ◽  
Retrieval Systems ◽  
Sentence Retrieval ◽  
Information Retrieval Systems ◽  
Performance Results

With the rapid evolution of smart home environment, the demand for spoken information retrieval (e.g., voice-activated FAQ retrieval) on information appliances is increasing. In spoken information retrieval, users’ spoken queries are converted into text queries using automatic speech recognition (ASR) engines. If top-1 results of the ASR engines are incorrect, the errors are propagated to information retrieval systems. If a document collection is a small set of sentences such as frequently asked questions (FAQs), the errors have additional effect on the performance of information retrieval systems. To improve the performance of such a sentence retrieval system, we propose a post-processing model of an ASR engine. The post-processing model consists of a re-ranking and a query term generation model. The re-ranking model rearranges top-n outputs of the ASR engines using the ranking support vector machine (Ranking SVM). The query term generation model extracts meaningful content words from the re-ranked queries based on term frequencies and query rankings. In the experiments, the re-ranking model improved the top-1 performance results of an underlying ASR engine with 4.4% higher precision and 6.4% higher recall rate. The query term generation model improved the performance results of an underlying information retrieval system with an accuracy 2.4% to 2.6% higher. Based on the experimental result, the proposed model revealed that it could improve the performance of a spoken sentence retrieval system in a restricted domain.

Interactive Visualization Tool for Analysis of Large Image Databases

2011 ◽  
pp. 266-281
Author(s):  
Anca Doloc-Mihu
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Effective Interaction ◽  
Qualitative Evaluation ◽  
Image Databases ◽  
Multiple Views ◽  
End User ◽  
Retrieval Systems ◽  
Image Retrieval System ◽  
Large Image Databases

Navigation and interaction are essential features for an interface that is built as a help tool for analyzing large image databases. A tool for actively searching for information in large image databases is called an Image Retrieval System, or its more advanced version is called an Adaptive Image Retrieval System (AIRS). In an Adaptive Image Retrieval System (AIRS) the user-system interaction is built through an interface that allows the relevance feedback process to take place. In this chapter, the author identifies two types of users for an AIRS: a user who seeks images whom the author refers to as an end-user, and a user who designs and researches the collection and the retrieval systems whom the author refers to as a researcher-user. In this context, she describes a new interactive multiple views interface for an AIRS (Doloc-Mihu, 2007), in which each view illustrates the relationships between the images from the collection by using visual attributes (colors, shapes, proximities). With such views, the interface allows the user (both end-user and researcher-user) a more effective interaction with the system, which, further, helps during the analysis of the image collection. The author‘s qualitative evaluation of these multiple views in AIRS shows that each view has its own limitations and benefits. However, together, the views offer complementary information that helps the user in improving his or her search effectiveness.

EXPERIMENTAL RETRIEVAL SYSTEMS STUDIES. REPORT NO. 3

1967 ◽  
Author(s):  
Ronald R. Anderson ◽  
Andrew J. Kasarda ◽  
David M. Reed
Keyword(s):  
Retrieval Systems ◽  
Systems Studies

An Information Retrieval System Based on Multiple Portlets

2021 ◽  
Vol 13 (1) ◽  
pp. 74-86
Author(s):  
Glauber José Vaz ◽  
Jayme Garcia Arnal Barbedo
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Service Oriented Architecture ◽  
Information Retrieval System ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Single User Interface ◽  
Service Oriented ◽  
Single User ◽  
Aggregated Search

Information retrieval systems built with a service-oriented architecture have numerous advantages, and portlets are a key technology to implement services which interact with each other in the presentation layer. This work presents an efficient approach for the communication between the components of an information retrieval system based on multiple portlets in a single user interface. It also presents the architecture and the main methods of the system implemented as a case of use for this approach. It is shown that the proposed solution yields the best inter-portlet communication mechanism in each situation, while possessing the ability to deliver aggregated search and superior user experience.

The impact of an automated storage and retrieval system on public services

2001 ◽  
Vol 29 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Linda Shirato ◽  
Sarah Cogan ◽  
Sandra Yee
Keyword(s):  
Retrieval System ◽  
Storage System ◽  
Public Perceptions ◽  
Storage And Retrieval ◽  
Retrieval Systems ◽  
Start Up ◽  
Online Catalog ◽  
Automated Storage ◽  
Public Reaction ◽  
The Impact

In June 1998, the Bruce T. Halle Library opened on Eastern Michigan University’s campus and began using an automated storage and retrieval system for low‐use books and periodicals. Approximately one third of the library’s total collection was placed into this storage system, freeing floor space for many new activities in the library. This system, linked to the library’s online catalog, could retrieve items requested by a patron in less than ten minutes. While the Automated storage/retrieval systems (AS/RS) performed well, other start‐up problems of a new building and public perceptions of the AS/RS made its introduction a challenge. Planning, implementation, and public reaction and acceptance are discussed.

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