Automatic Product Information Acquisition for Supermarkets Using Internet and RF Wireless Network

2008 ◽  
Author(s):  
Lin-Song Weng ◽  
Ching-Lung Lin ◽  
Hsueh-Hsien Chang
Keyword(s):  
Wireless Network ◽  
Information Acquisition ◽  
Product Information ◽  
Rf Wireless ◽  
Automatic Product

scholarly journals Integrated product ontologies for inter-organizational networks

2009 ◽  
Vol 6 (2) ◽  
pp. 29-46 ◽  
Author(s):  
Milan Zdravkovic ◽  
Miroslav Trajanovic
Keyword(s):  
Information Acquisition ◽  
Data Exchange ◽  
Product Information ◽  
Added Value ◽  
Organizational Networks ◽  
Dimensional Model ◽  
Design Intent ◽  
Functional Perspective ◽  
Property Transfer ◽  
Semantic Alignment

Purpose of this paper is to propose approach and technical infrastructure for improvement of inter-organizational networks' response in product information acquisition and management. Different approaches (industrial categorization schemes, functional decomposition and semantic web) for management of product information are analyzed in context of inter-organizational networks. Process for semantic alignment of product information is defined, resulting with generalized, two-dimensional model, consisting of design and functional perspective. The process is expected to decrease human intervention in product data exchange in networked environments, as well as to create added value, through possible recognition of design intent, automated referencing to related manufacturing competences and reuse potential. Current prototype of system comprises of product ontologies and interfaces for topological model submission and refinement by using lexical term and predicate matching and property transfer. Impact of using formalized functional perspective is only theoretically justified and it still needs to be verified.

A Robust and Energy Efficient NOMA-Enabled Hybrid VLC/RF Wireless Network

2019 ◽  
Author(s):  
Ahmed al Hammadi ◽  
Sami Muhaidat ◽  
Paschalis C. Sofotasios ◽  
Mahmoud al Qutayri
Keyword(s):  
Wireless Network ◽  
Energy Efficient ◽  
Rf Wireless

scholarly journals Developing Data-Conscious Deep Learning Models for Product Classification

2021 ◽  
Vol 11 (12) ◽  
pp. 5694
Author(s):  
Yijin Kim ◽  
Hong Joo Lee ◽  
Junho Shim
Keyword(s):  
Deep Learning ◽  
Input Data ◽  
Product Information ◽  
Learning Model ◽  
Learning Technologies ◽  
Training Data ◽  
Learning Models ◽  
Product Classification ◽  
Product Description ◽  
Automatic Product

In online commerce systems that trade in many products, it is important to classify the products accurately according to the product description. As may be expected, the recent advances in deep learning technologies have been applied to automatic product classification. The efficiency of a deep learning model depends on the training data and the appropriateness of the learning model for the data domain. This is also applicable to deep learning models for automatic product classification. In this study, we propose deep learning models that are conscious of input data comprising text-based product information. Our approaches exploit two well-known deep learning models and integrate them with the processes of input data selection, transformation, and filtering. We demonstrate the practicality of these models through experiments using actual product information data. The experimental results show that the models that systematically consider the input data may differ in accuracy by approximately 30% from those that do not. This study indicates that input data should be sufficiently considered in the development of deep learning models for product classification.

scholarly journals Synchronized Information Acquisition Method for Virtual Geographic Scene Image Synthesis in Cities Based on Wireless Network Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Tianfang Ma ◽  
Shuoyan Liu
Keyword(s):  
Wireless Network ◽  
Information Acquisition ◽  
Image Synthesis ◽  
Network Technology ◽  
Scene Image ◽  
Optical Flow Method ◽  
Geographic Environment ◽  
Acquisition Delay ◽  
Acquisition Method

At present, in the process of image synthesis information acquisition of urban virtual geographic scene, there is information complexity. The existing acquisition technology is easy to disturb in the process of information positioning and transmission, resulting in large acquisition delay and affecting the final synthesis quality of the image. In response to the above problems, the method of synchronous information acquisition for urban virtual geographic scene image synthesis based on wireless network technology is studied. Based on the construction of an urban virtual geographic environment, the spatial localization of the sign target of geographic scene image synthesis is carried out, and the optical flow method is used to register the urban geographic scene images. Based on the greedy algorithm of the beacon to design the synchronous wireless network route for urban virtual scene image synthesis, and after the grid division of the wireless network in the synthesis information acquisition area, the packets of each acquisition node are acquired and transmitted according to the designed wireless network route to realize the synchronous acquisition of image synthesis information. The comparison experimental data show that the acquisition delay of the studied information synchronization acquisition method is less than 0.5 s, the acquisition synchronization rate is significantly improved, and the quality of the synthesized images is better by applying the information acquired by the method, and the practical use is better.

Sign in / Sign up

Export Citation Format

Share Document