What do understand by Data Communication Systems?
Best insight from top research papers
Data Communication Systems refer to systems that enable the transfer of data between devices. These systems can include various components such as communication interfaces, power supply interfaces, signal collection circuits, and network devices. They can be designed to facilitate communication over different mediums, including wire communication interfaces, electrical connectors, optical fibers, and data buses. The purpose of these systems is to establish a reliable and efficient means of transmitting data, even in situations where direct access to a data communication network may be limited or restricted. Examples of applications for data communication systems include transmitting data over power systems, monitoring equipment in wellbores, and facilitating communication between devices in a network.
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
| The provided paper is about a data communication system that includes a data bus and a line replacement unit. It describes the use of a plastic optical fiber serial interface module (POFSIM) to transmit digital optical signals and electrical signals between the terminal controller and the data bus. However, the paper does not explicitly define or explain the concept of data communication systems. | |
| The provided paper is about a method of high frequency data transmission over a three-phase power system. It does not provide a general definition of data communication systems. | |
| The provided paper is about a specific data communication system that includes a master communication device and a slave communication device. It does not provide a general definition or explanation of data communication systems. | |
| The provided paper does not explicitly define what data communication systems are. | |
| The provided paper is about a system for communicating data from a source device to a destination device. It does not provide a specific definition or explanation of data communication systems. |
Related Questions
What is system information analysis?5 answersSystem information analysis refers to the process of collecting, processing, and interpreting data within a system to derive meaningful insights. Various research papers provide insights into different aspects of information analysis systems. For instance, one paper discusses an information analysis system that collects news information, matches keywords, classifies news, and preserves it for users. Another paper introduces a system for analyzing river information by photographing rivers to assess natural growth and potential disasters. Additionally, an information analysis system is described that analyzes user behavior based on image information to understand shopping patterns without manual feedback. These papers collectively showcase the diverse applications of information analysis systems in different domains, highlighting their importance in extracting valuable insights from data.
What is the meaning of data processing?5 answersData processing refers to the manipulation and transformation of data to produce meaningful information. This involves various steps such as extracting, acquiring, converting, and outputting data based on specific requirements. In the context of sporting events, data processing involves identifying object positions in scenes and projecting them onto images. Additionally, data processing devices can extract sound blocks to be reproduced with video data based on captured sound characteristics. Data processing systems utilize multiple computers with node pools to measure data transfer performance and adjust the number of nodes accordingly. Furthermore, data processing devices can convert three-dimensional point cloud data into computer-assisted design data for structures. Overall, data processing plays a crucial role in organizing and analyzing data efficiently.
What can be understanding?4 answersUnderstanding can be seen as a universal cognitive phenomenon applicable to various domains, including cultural, historical, and natural phenomena. It involves the recognition of connections between different pieces of knowledge and the identification of relevant relations between objects and parts. Understanding is closely related to problem-solving and involves solving difficulties, merging different viewpoints, and finding out how something works. Emotions play a crucial role in understanding by serving as cues to identify difficulties and as tools for evaluation during the process. The concept of understanding has been explored in the context of scientific explanation, where it is considered a higher level cognition that provides insight and connections between knowledge. Understanding is also investigated in relation to the tools of intelligence, such as logic and pattern recognition, and their application in the complex framework of the universe.
What is information and data?5 answersInformation and data are closely related concepts. Data refers to raw, unorganized facts or details, while information is derived from data by putting it into context. Data alone is rarely useful, but when it is processed and given meaning, it becomes information. Information can be seen as the functional relationship between input and system, rather than something to be captured and used by a system. Data can be transformed through appropriate procedures to make it useful in achieving objectives. In the context of research, information and data play a crucial role in areas such as openness, reproducibility, credibility, and sharing of digital data. They also have implications for research data management, reputation management, and dealing with information and data overload. Overall, information is the result of processing and contextualizing data, and it serves as a valuable resource for decision-making and understanding the world around us.
What are the characteristics of information systems and their relationship to data?5 answersInformation systems are characterized by their ability to access and evaluate data in order to derive and reproduce information. These systems include recording, storage, updating, processing, and evaluation of information, as well as its reproduction. The relationship between information systems and data is that information systems rely on data as their input, which is then processed and evaluated to generate meaningful information. Data is collected from various sources, such as remote sensing data or observatories, and is processed to evaluate quantitative characteristics, test hypotheses, estimate the state of natural objects, and generate reports and maps. The distinction between data, information, knowledge, and wisdom is valuable in understanding the representation of observed phenomena and the hierarchy of representation in measurement systems. Overall, information systems play a crucial role in collecting, processing, and disseminating data to generate useful information for decision-making and forecasting.
What is data services?2 answersData services refer to software services that are provided by information systems to integrate and query data from multiple sources. These sources can include structured and semi-structured data such as relational data, XML, and HTML. Data services package these data sources into a unified system, enabling multi-step data queries. They support cross-domain queries and facilitate the creation of multi-step data query plans. In the academic librarian job market, data services are a specialized and in-demand niche. They involve activities such as managing and providing access to data, supporting data analysis, and collaborating with researchers in academic libraries. In the context of mobile computing devices, data services enable network communications between mobile applications and a network. They handle requests from business applications, send and receive data, and use text-based mark-up languages for communication. Data services are also explored in the context of technology trends in basic, integrated, and cloud data services. Key enabling technologies for building data services include XSLT and XQuery, which are used to transform and query potentially heterogeneous data into standard XML documents.