Sentinel Data Connection

2021 ◽  
pp. 107-143
Author(s):  
Marshall Copeland
Keyword(s):  
Data Connection

An Innovative Approach for Online Food Order Management System

2018 ◽  
Vol 8 (3) ◽  
pp. 19
Author(s):  
Anshika Srivastava ◽  
Anjali Baranwal
Keyword(s):  
Open Source Software ◽  
Fast Food ◽  
Book Order ◽  
Food Items ◽  
Order Management ◽  
Restaurant Managers ◽  
Fast Food Restaurants ◽  
System Administrator ◽  
Data Connection ◽  
Food Order

Abstract— Restaurants are one of the favorite premises .An online food ordering is a integrated process in fast food Restaurants to offer choice of food from menu, cooked and served or packaged hot to satisfy customer  to immediately make orders on their ownselves. Customers can also call the restaurant to pack in advance or to  deliver the food item but sometimes restaurants run out of certain items.The existing system lacks the feature to use Remote GPS tracker such that restaurant managers are auto updated about the location of the customer before reaching the restaurant. We propose a complete system to easily manage online menu where items update as per the availability of food and prices. The Customer views the products, register and place the order. The system administrator adds and manages user accounts and the Manager manages product and orders. The Kitchen meal deliverable deals with pending deliveries .The proposed system is developed using Android platform which is open source software and built in data connection modules. It also decreases labour rates to replace mobile phones to book order and table unlike employees who come to take order and payments .In advent of food consumption problems like obesity, overeating etc. ,he proposed system will show food items with nutrition based searches showing ingredients of the food items.

scholarly journals Deep Neural Network Algorithm Feedback Model with Behavioral Intelligence and Forecast Accuracy

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1465
Author(s):  
Taikyeong Jeong
Keyword(s):  
Neural Network ◽  
Classification Accuracy ◽  
Deep Neural Network ◽  
Time Series Data ◽  
Training Data ◽  
Series Data ◽  
Context Aware ◽  
Data Set ◽  
Feedback Model ◽  
Data Connection

When attempting to apply a large-scale database that holds the behavioral intelligence training data of deep neural networks, the classification accuracy of the artificial intelligence algorithm needs to reflect the behavioral characteristics of the individual. When a change in behavior is recognized, that is, a feedback model based on a data connection model is applied, an analysis of time series data is performed by extracting feature vectors and interpolating data in a deep neural network to overcome the limitations of the existing statistical analysis. Using the results of the first feedback model as inputs to the deep neural network and, furthermore, as the input values of the second feedback model, and interpolating the behavioral intelligence data, that is, context awareness and lifelog data, including physical activities, involves applying the most appropriate conditions. The results of this study show that this method effectively improves the accuracy of the artificial intelligence results. In this paper, through an experiment, after extracting the feature vector of a deep neural network and restoring the missing value, the classification accuracy was verified to improve by about 20% on average. At the same time, by adding behavioral intelligence data to the time series data, a new data connection model, the Deep Neural Network Feedback Model, was proposed, and it was verified that the classification accuracy can be improved by about 8 to 9% on average. Based on the hypothesis, the F (X′) = X model was applied to thoroughly classify the training data set and test data set to present a symmetrical balance between the data connection model and the context-aware data. In addition, behavioral activity data were extrapolated in terms of context-aware and forecasting perspectives to prove the results of the experiment.

scholarly journals Hedonic analysis of cell phones sold with post-paid service plans in Brazil

2012 ◽  
Vol 52 (4) ◽  
pp. 435-447
Author(s):  
Rodrigo de Santi ◽  
Cláudio R. Lucinda
Keyword(s):  
Cell Phones ◽  
Hedonic Price ◽  
Hedonic Analysis ◽  
Camera Phone ◽  
Hedonic Price Method ◽  
Physical Volume ◽  
Determining Factors ◽  
Data Connection

The aim of this paper is to analyze the determining factors for the pricing of handsets sold with service plans, using the hedonic price method. This was undertaken by building a database comprising 48 handset models, under nine different service plans, over a period of 53 weeks in 2008, and resulted in 27 different attributes and a total number of nearly 300,000 data registers. The results suggest that the value of monthly subscriptions and calling minutes are important to explain the prices of handsets. Furthermore, both the physical volume and number of megapixels of a camera had an effect on the prices. The bigger the handset, the cheaper it becomes, and the more megapixels a camera phone has, the more expensive it becomes. Additionally, it was found that in 2008 Brazilian phone companies were subsidizing enabled data connection handsets.

Design and Development of Trade Detector Based on Distributed Computing Technology

2014 ◽  
Vol 608-609 ◽  
pp. 550-554
Author(s):  
Qi Wang ◽  
Wei Lai
Keyword(s):  
Distributed Computing ◽  
Detection System ◽  
Development Platform ◽  
Development Tool ◽  
Development Cycle ◽  
External Demand ◽  
Function Module ◽  
The Cost ◽  
Data Connection ◽  
Computer Development

J2EE is set for the distributed computing realization of API, services and protocols developed by SUN. The design objective of J2EE computer development tool is to provide a simple, easy operation development platform for developers, which can reduce the cost of development, shorten the development cycle, and improve the comprehensive performance of computer system. In this paper, we use JSP calculation vessel function module of J2EE to improve the computer economic detection system, and establish data connection between system and the HTML Webpage, which realizes the real-time and continuous detection of the economy. Finally, based on the external demand and exports of industrial products in an area, we detect trade transactions in the region, and do mathematical statistics using the J2EE system, and finally get the trade scale. It provides a new computer method for the research of export trade and economic detection.

A Novel Radio-Over-Fiber System With Wavelength Reuse for Upstream Data Connection

2007 ◽  
Vol 19 (6) ◽  
pp. 387-389 ◽  
Author(s):  
Lin Chen ◽  
Yufeng Shao ◽  
Xiaoyan Lei ◽  
Hong Wen ◽  
Shuangchun Wen
Keyword(s):  
Radio Over Fiber ◽  
Fiber System ◽  
Wavelength Reuse ◽  
Radio Over Fiber System ◽  
Data Connection

scholarly journals Designing Application For Defect Recording and Handover Of Property Based On Mobile Application by Applying SQLite Technology

CCIT Journal ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 185-195
Author(s):  
Persis Haryo Winasis ◽  
Raga Maulana ◽  
Yodi Susanto
Keyword(s):  
Mobile Apps ◽  
Quality Of Data ◽  
Property Development ◽  
High Rise ◽  
Inspection Process ◽  
Handover Process ◽  
Digital Methods ◽  
Data Signal ◽  
Data Connection

Property development companies that produce housing products, high rise dwellings, and office buildings generally have data on the quality of buildings, one of which is obtained during the defect inspection process between developers and consumers before handing over units. Recording data is generally still done manually using a form on a paper. For these conditions, researchers tried to build an application based on mobile apps to digitally record the defect checklist of the dwelling so that the data collected can be processed for the needs of analysis and development strategies. Difficulties encountered during the unit handover process using digital methods on the newly completed property, one of which is the quality of data and internet signals. Mobile apps certainly require a data signal connection to send data to the server. This Android-based mobile apps will implement SQLite technology which allows the recording of transactions to be done locally first, which can then be synchronized into the database server after getting the required internet data connection. SQLite was chosen because it has a relatively small library code unlike relational DBMS in general. SQLite is also easy to use without complex configurations. With the support of the ease of function of SQLite it also allows applications to be integrated with the property sales application system.

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