The Crime of Abets the Child to Commit Acts of Prostitution and Immorality via the Internet (Comparative Analysis Study)

2021 ◽  
Vol 5 (2) ◽  
pp. 251-262
Keyword(s):  
Comparative Analysis ◽  
The Internet ◽  
Analysis Study

Agents: The Lord of (the) Things

The Server ◽  
2018 ◽  
pp. 297-338
Author(s):  
Markus Krajewski
Keyword(s):  
Comparative Analysis ◽  
Silicon Valley ◽  
Advanced Technology ◽  
Personal Computers ◽  
The Internet ◽  
Computing Systems ◽  
Client Server ◽  
Virtual Creatures ◽  
Communicative Structure

This chapter considers the forms subalterns assume under the conditions of advanced technology. As servers, demons, or other virtual creatures, they work without being seen or ever taking a break. By means of a comparative analysis of early computing systems, the mainframes, and the first machines from the age of personal computers, the discussion focuses on the conceptual and historical transfer from servant to server. The analysis is based on fieldwork conducted in California in the 1970s, when researchers at the legendary Xerox PARC center took a closer look at the conditions of formation of electronic services. What defines the communicative structure of the Internet was a specific informational architecture, the so-called client-server principle, developed in Silicon Valley after 1973.

scholarly journals COMPARATIVE ANALYSIS OF XML AND JSON USING PHP APPLICATION PLATFORM WITH REPRESENTATIONAL STATE TRANSFER ( REST ) ARCHITECTURAL

Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Saryanto Saryanto ◽  
Sumarsono Sumarsono ◽  
Nurcahyani Dewi Retnowati
Keyword(s):  
Comparative Analysis ◽  
Web Service ◽  
Measurement Method ◽  
Data Communication ◽  
The Internet ◽  
Time Data ◽  
Xml Data ◽  
Data Measurement ◽  
The Difference ◽  
The Web

Data communication in the internet today is so complex as an example of the speed factor becomes very important in communicating, everyone wants fast data communication services provided in order to maximum. In relation to the application as a communication liaison with client server applications, web service using a data serialization format to transmit the data. Before the data is sent, either fromthe client to the server or vice versa, should be modified in a specific data format beforehand according to the web service is used. Types of data serialization format used in the web service such as XML and JSON. The method used for testing include data serialization method, data measurement method and data parsing method. Data serialization method is used to calculate the time serialization of data from the database to the form of XML and JSON in applications with PHP platform. Data measurement method used to measure the size of the XML and JSON data which based on many fields of data serialization process. Data parsing method is used to calculate the processing time and JSON parsing XML data. Results o f comparative analysis o f XML and JSON in PHP applications using thearchitecture Rest can be concluded that the test result o f the difference in time and time serialization and JSON parsing XML data is influenced by the number o f records, if the number of records the greater the difference in eating time data serialization and parsing the data the greater the time also itcan be concluded that the faster the process JSON serialization and parsing XML data is compared. Testing results o f the JSON data size is smaller than the size of XML. Data exchange using XML format has a size limit of up to 31456.31 KB while JSON XML exceeds the size limit. Testing results on the Internet when the number o f records up to 50,000 data when the data serialization and parsing time data can not be detected in the database.

Using Machine Learning Methods to Solve Problems of Forecasting Demand for New Products in the Internet Marketplace

2020 ◽  
Vol 10 (4) ◽  
pp. 41-50
Author(s):  
A.A. Osin ◽  
A.K. Fomin ◽  
G.B. Sologub ◽  
V.I. Vinogradov
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
New Products ◽  
The Internet ◽  
Specific Task ◽  
Learning Methods ◽  
Online Store ◽  
Machine Learning Methods ◽  
And Storage ◽  
Internet Marketplace

The work is aimed at researching the possibility of using machine learning methods to build models for forecasting demand for new products in the online store Ozon. ru. Approaches to the solution that were not previously used in a specific task are proposed for consideration. Data on sales history and storage of goods at Ozon.ru are used as a sample. There is a description and analysis of the approximate loss of the Ozon.ru website, the data used, the process of building a base model, and the results obtained. It describes the metrics used to evaluate the prediction results and makes a comparative analysis between the prediction results of the built model and the results of heuristically selected values.

THE EMOTION OF JOY IN SOCIAL NETWORKS: VERBAL, PARAVERBAL AND NONVERBAL FORMS OF EXPRESSION

2021 ◽  
Author(s):  
A.V. Kolmogorova ◽  
S.R. Akhmadeeva
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Team Sport ◽  
Sport Performance ◽  
Emotion Expression ◽  
The Internet ◽  
Text Data ◽  
Gender Factor

The article explores the text data of the Internet-comments published on social networks by fans to celebrate the victory of their favorite sportsmen. The aim of the publication is to analyze verbal, paraverbal and nonverbal forms of emotion expression in two groups of fans: those who are keen on sports profiling typically masculine properties (strength, audacity, endurance), and, on the contrary, those who are passionate about the sport performance featuring feminine characteristics (grace, beauty, flexibility). The conducted comparative analysis gives evidence about the presence of a number of specific features due to the effect of gender factor. However, this factor largely correlates with other variables, such as linguacultural patterns, the nature of the sport itself (team sport vs individual sport).

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