Support

Wifi Terminologies

  • SSID (Service Set Identifier): the name of a Wi-Fi network
  • MAC address (Media Access Control address): a unique identifier assigned to a device connected to a network
  • Router: a device that connects a local network to the Internet
  • Access Point: a device that allows wireless devices to connect to a wired network
  • Channel: the frequency band that a Wi-Fi network uses to communicate
  • Encryption: the method used to secure a Wi-Fi network and protect it from unauthorized access
  • DHCP (Dynamic Host Configuration Protocol): a protocol used to automatically assign IP addresses to devices on a network
  • IP address (Internet Protocol address): a unique numerical label assigned to each device connected to a network
  • Signal strength: a measure of the power of the wireless signal received by a device
  • Bandwidth: the amount of data that can be transmitted over a network connection
  • Ad-hoc network: a type of wireless network that allows devices to connect directly with each other without the use of a router
  • Infrastructure network: a type of wireless network that uses a router or access point to connect devices to the Internet
  • Beacon frame: a type of wireless frame used to announce the presence of a wireless network
  • Authentication: the process of verifying the identity of a device or user attempting to access a network
  • Association: the process of connecting a device to a specific wireless network
  • Beacon interval: the time interval at which a wireless access point sends out beacon frames
  • Roaming: the ability for a device to move between different wireless networks without losing its connection
  • WPA (Wi-Fi Protected Access): a security protocol used to encrypt wireless networks
  • WPA2 (Wi-Fi Protected Access version 2): an improved version of the WPA security protocol
  • WPA3 (Wi-Fi Protected Access version 3): a latest version of the WPA security protocol
  • IEEE 802.11 standards: a set of standards developed by the Institute of Electrical and Electronics Engineers (IEEE) for wireless networking
  • 5GHz band: one of the two frequency bands used by Wi-Fi, with a higher frequency and less interference than the 2.4GHz band
  • 2.4GHz band: one of the two frequency bands used by Wi-Fi, with a lower frequency and more interference than the 5GHz band
  • MIMO (multiple input, multiple output): a technique used to increase the capacity and reliability of wireless networks by using multiple antennas at both the transmitter and receiver
  • MU-MIMO (Multi-user MIMO): A technology that allows multiple devices to connect to the same access point simultaneously, rather than one at a time, increasing overall network capacity.
  • OFDM (Orthogonal frequency-division multiplexing): a method of encoding digital data on multiple carrier frequencies
  • Beamforming: a method that improves wireless signal strength and quality by focusing the wireless signal in the direction of the receiving device
  • DFS (Dynamic Frequency Selection): a mechanism that allows wireless devices to automatically detect and avoid using channels that are in use by radar systems
  • Airtime fairness: a feature that ensures that all devices on a wireless network are given an equal amount of airtime, regardless of their capabilities
  • Power save mode: a feature that allows wireless devices to conserve power by turning off the radio when not in use
  • WDS (Wireless Distribution System): a system that allows wireless access points to

    • IoT Terminologies

  • IoT device: a physical object that is connected to the Internet and can collect and transmit data.
  • IoT platform: a software or service that enables the management and connection of IoT devices.
  • IoT gateway: a device that connects IoT devices to the Internet and allows them to communicate with other devices and platforms.
  • Edge computing: a method of processing data where computation is performed on the device itself, rather than sending all data to a centralized location for processing.
  • M2M (machine-to-machine) communication: the communication between IoT devices without human involvement.
  • Smart home: a home that uses IoT technology to control and automate various systems such as lighting, heating, and security.
  • Sensor: a device that detects and measures physical conditions such as temperature, light, or movement.
  • Actuator: a device that can perform a physical action based on sensor data, such as turning on a light or adjusting the temperature.
  • Cloud computing: the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
  • Big data: large amounts of data that can be analyzed to reveal patterns, trends, and insights, which can be used to improve decision-making and performance.
  • Fog computing: a distributed computing paradigm that brings computation, data storage and management, and networking services closer to the IoT devices.
  • Smart city: a city that uses IoT and other advanced technologies to improve the quality of life for its citizens and enhance the efficiency of its urban services.
  • Industrial IoT (IIoT): the use of IoT technology in industrial settings to improve efficiency, productivity, and safety.
  • LPWAN (Low-Power Wide-Area Network): a type of wireless network that is designed to support low-power IoT devices over long distances.
  • Edge device: a device that is located at the edge of a network and is responsible for collecting and processing data from IoT devices.
  • Security: the measures taken to protect IoT devices and networks from unauthorized access, hacking, and other cyber threats.
  • Remote management: the ability to monitor and control IoT devices remotely using a computer or mobile device.
  • Firmware: a type of software that is embedded in IoT devices and controls their basic functionality.
  • Over-the-air updates: the ability to update the software on an IoT device wirelessly, without having to physically access the device.
  • LoraWAN: a type of LPWAN that uses the Long-Range (LoRa) wireless communication protocol.
  • Zigbee: a type of wireless communication protocol that is used to connect IoT devices in a mesh network.
  • BLE (Bluetooth Low Energy): a type of wireless communication protocol that is designed to be power-efficient and is often used in IoT devices.
  • Zigbee 3.0: An open global standard for IoT connectivity, Zigbee 3.0 is designed to work with other Zigbee standards and devices, making it easy to create smart devices that work together.
  • CoAP (Constrained Application Protocol): a protocol that is designed for use with IoT devices and networks, and is optimized for low-power, low-bandwidth, and unreliable networks.
  • MQTT (Message Queuing Telemetry Transport): a protocol that is designed for use with IoT devices and networks, and is

    • AI Terminologies

  • Artificial Intelligence (AI): the simulation of human intelligence in machines that are programmed to think and learn.
  • Machine learning: a type of AI that allows systems to learn and improve from experience without being explicitly programmed.
  • Supervised learning: a type of machine learning where the system is trained on a labeled dataset, with the goal of making predictions on unseen data.
  • Unsupervised learning: a type of machine learning where the system is not given any labeled data, and instead has to find patterns or structure in the data on its own.
  • Reinforcement learning: a type of machine learning where the system learns by interacting with an environment and receiving feedback in the form of rewards or penalties.
  • Deep learning: a type of machine learning that uses deep neural networks with many layers to learn representations of data.
  • Neural network: a type of machine learning algorithm that is inspired by the structure and function of the human brain.
  • Natural Language Processing (NLP): a subfield of AI that focuses on the interaction between computers and human languages, such as understanding speech and text.
  • Computer Vision: a field of AI that focuses on enabling machines to interpret and understand visual information from the world, such as images and videos.
  • Robotics: the branch of AI that deals with the design and development of robots.
  • Expert Systems: a system that uses AI techniques to simulate the problem-solving abilities of a human expert.
  • Predictive modeling: the process of creating, testing, and validating a model to make predictions about future events.
  • Cognitive computing: a form of AI that emulates human thought processes in a computerized model.
  • Genetic Algorithm: a method that uses the principles of natural selection to find optimal solutions to problems.
  • Fuzzy Logic: a method of reasoning that deals with uncertain or vague information.
  • Heuristic: a problem-solving strategy that uses a practical method to find a solution that may not be the best but good enough.
  • Knowledge Representation: the way in which AI systems encode information and knowledge to make it accessible for reasoning and decision-making.
  • Planning: the process of determining a sequence of actions to achieve a specific goal.
  • Propositional Logic: a formal system for representing and reasoning about propositional statements (i.e. statements that can be either true or false)
  • Rule-based Systems: a system that uses a set of rules to make decisions.
  • Search Algorithm: a method for finding a solution to a problem by systematically exploring the possible solutions.

    • Big Data Terminologies

  • Big Data: refers to the large volume, high velocity, and diverse types of data that are difficult to process and analyze using traditional data processing techniques.
  • Data warehousing: the process of collecting, storing, and managing large volumes of data from various sources in a single, centralized repository.
  • Data lake: a centralized repository that allows storing, processing and analyzing structured and unstructured data.
  • Data mining: the process of discovering patterns and insights from large datasets using statistical and machine learning techniques.
  • Hadoop: an open-source software framework for distributed storage and processing of large datasets.
  • HDFS (Hadoop Distributed File System): a distributed file system that allows storing large amounts of data across a cluster of machines.
  • MapReduce: a programming model for processing large datasets in parallel across a distributed cluster of machines.
  • NoSQL: a category of non-relational databases that are designed to handle large volumes of unstructured data.
  • Spark: an open-source big data processing framework that allows for in-memory data processing and iterative algorithms.
  • Stream processing: the process of analyzing and processing data as it is generated in real-time.
  • Cloud computing: the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
  • Real-time analytics: the process of analyzing data in real-time to gain insights and make decisions.
  • Machine learning: a type of AI that allows systems to learn and improve from experience without being explicitly programmed.
  • Data governance: the management of data as a strategic asset, including policies, procedures, and standards for data management, quality, and security.
  • Data visualization: the process of representing data graphically to make it easier

    • Network Automation Terminologies

  • Network Automation: refers to the process of using software and technology to automate the configuration, management, and operation of networks.
  • Network Orchestration: the process of coordinating the interactions of multiple network devices and services to achieve a desired outcome.
  • Network Configuration Management: the process of maintaining accurate and consistent network configurations across multiple devices.
  • Network Virtualization: the process of creating a virtualized network environment that is separate from the physical network infrastructure.
  • SDN (Software-Defined Networking): a network architecture that allows for the centralization of network control and management in software, rather than in hardware.
  • OpenFlow: a protocol that enables the separation of the control plane and the data plane in SDN.
  • APIs (Application Programming Interface): a set of protocols, routines, and tools for building software and applications that interact with network devices.
  • NetConf (Network Configuration Protocol): a protocol that enables the management of network devices using a structured data model.
  • YANG (Yet Another Next Generation): a data modeling language that is used to define the structure of configuration data in NetConf.
  • Ansible: an open-source automation tool that can be used to automate network configuration management and deployment.

    • Carbon Footprint Terminologies

  • Carbon footprint: the total amount of greenhouse gas emissions caused by an individual, organization, or product
  • Direct emissions: emissions that come directly from a source, such as a factory or vehicle
  • Indirect emissions: emissions that are a result of the production or consumption of goods and services, such as emissions from electricity generation or transportation
  • Scope 1 emissions: direct emissions from sources that are owned or controlled by an organization
  • Scope 2 emissions: indirect emissions from the generation of purchased electricity, steam, heating and cooling consumed by the organization
  • Scope 3 emissions: all other indirect emissions that occur in the value chain of the organization, such as the extraction and production of raw materials, transportation and distribution of products, and disposal or recycling of waste
  • Life cycle assessment (LCA): a method used to evaluate the environmental impact of a product or service throughout its entire life cycle, from raw material extraction to disposal
  • Carbon offset: a reduction in emissions of carbon dioxide or other greenhouse gases made in order to compensate for emissions made elsewhere
  • Renewable energy: energy sources that are replenished naturally, such as solar, wind, and hydropower
  • Carbon neutral: achieving net zero carbon emissions by balancing emissions with carbon offsetting or removal
  • Embodied carbon: The carbon footprint of a product or service caused by the extraction, production, transportation, and disposal of the materials used to make it.
  • Carbon sequestration: the process of removing carbon dioxide from the atmosphere and storing it in a long-term sink, such as trees or soil
  • Carbon credits: a permit or certificate that represents the right to emit one tonne of carbon dioxide or its equivalent
  • Greenhouse gas (GHG) inventory: a systematic and comprehensive assessment of the sources and sinks of greenhouse gases within an organization, community, or country
  • Carbon pricing: the cost of carbon emissions, which is often set by governments or organizations to encourage the reduction of emissions
  • Carbon footprint standard: a set of guidelines or protocols used to measure and communicate the carbon footprint of a product or service
  • Carbon footprint labeling: a labeling system that communicates the carbon footprint of a product to consumers
  • Carbon footprint reduction targets: specific goals set by organizations or governments to reduce their carbon footprint over time.

    • Energy Management Terminologies

  • Energy management: the process of monitoring, controlling, and conserving energy in order to reduce costs and improve efficiency
  • Energy efficiency: the use of less energy to perform the same task, often achieved through the use of energy-efficient technologies or practices
  • Energy conservation: the reduction of energy usage through behavior change and end-use efficiency
  • Energy audit: a systematic evaluation of energy use in a building or facility to identify opportunities for energy savings
  • Energy monitoring: the continuous measurement and analysis of energy usage in order to identify trends and identify opportunities for energy savings
  • Energy modeling: the use of computer simulations to predict energy usage in a building or facility
  • Renewable energy: energy sources that are replenished naturally, such as solar, wind, and hydropower
  • Smart grid: an advanced electrical grid that uses digital technology to improve the efficiency, reliability, and flexibility of the power supply
  • Net metering: a billing arrangement where the utility company credits the customer for any excess electricity generated by their renewable energy system
  • Distributed energy resources (DER): small-scale, decentralized energy sources such as solar panels, wind turbines, and energy storage systems
  • Energy storage: the capture and storage of energy for later use, such as in batteries or thermal storage systems
  • Demand response: a program that encourages customers to reduce their energy usage during times of peak demand
  • Energy management system (EMS): a computer-based system that monitors and controls energy usage in a building or facility
  • Building automation system (BAS): a computer-based system that controls and monitors the mechanical and electrical systems in a building
  • Advanced metering infrastructure (AMI): a system that uses smart meters and communication networks to provide detailed, real-time energy usage data
  • Building energy management system (BEMS): a computer-based system that monitors and controls energy usage in a building or facility
  • Energy procurement: the process of purchasing energy, either through a utility or through a third-party supplier
  • Energy benchmarking: the process of comparing the energy performance of a building or facility to similar buildings or facilities
  • Energy performance contract (EPC): a contract in which an energy service company (ESCO) delivers energy savings to the customer through the implementation of energy efficiency measures, and is paid from the savings generated.

    • Sustainability Terminologies

  • Sustainability: the ability to meet the needs of the present without compromising the ability of future generations to meet their own needs
  • Environmental sustainability: the responsible use of natural resources to meet the needs of the present without compromising the ability of future generations to meet their own needs
  • Social sustainability: the ability to meet the needs of the present without compromising the ability of future generations to meet their own needs in terms of social well-being and equity
  • Economic sustainability: the ability to meet the needs of the present without compromising the ability of future generations to meet their own needs in terms of economic well-being
  • Triple bottom line: a framework for measuring the performance of a company or organization in terms of its economic, social, and environmental performance
  • Carbon footprint: the total amount of greenhouse gas emissions caused by an individual, organization, or product
  • Renewable energy: energy sources that are replenished naturally, such as solar, wind, and hydropower
  • Green building: the design, construction, and operation of buildings in an environmentally responsible manner
  • Circular economy: an economic model in which resources are kept in use for as long as possible, and waste and pollution are minimized
  • Ecological footprint: a measure of the impact of human activities on the natural environment
  • Climate resilience: the ability of a community, organization, or ecosystem to withstand and adapt to the impacts of climate change
  • Biodiversity: the variety of life in all its forms, levels, and combinations, including ecosystems, species, and genes
  • Biomimicry: the design and production of materials, structures, and systems that mimic the patterns and relationships found in nature
  • Blue economy: an economic model that values and manages ocean resources in a sustainable way, balancing economic growth with environmental protection
  • Natural capital: the stock of natural resources, including land, water, air, and biodiversity, that provide services to human societies and the economy
  • Integrated sustainability: the integration of environmental, social, and economic sustainability in decision-making and management
  • Resilience: the ability of a system to withstand, adapt to and recover from disturbances
  • Sustainable development goals (SDGs): a set of 17 global goals adopted by the United Nations in 2015 to end poverty, protect the planet, and ensure that all people enjoy peace and prosperity by 2030.
  • Corporate social responsibility (CSR): the voluntary actions taken by a company to operate in an economically, socially, and environmentally sustainable manner.

    • Network Terminologies

  • Network: a group of interconnected devices, such as computers, servers, and routers, that are connected to share resources and information
  • Router: a device that forwards data packets between computer networks
  • Switch: a device that connects devices on a network and forwards data to the intended destination
  • Hub: a device that connects devices on a network and broadcast the data to all connected devices
  • IP address: a unique numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication
  • DHCP: a protocol that automatically assigns IP addresses to devices on a network
  • DNS: a system that translates domain names, such as www.example.com, into IP addresses
  • LAN: a local area network, which connects devices in a small geographic area, such as a home or office
  • WAN: a wide area network, which connects devices over a larger geographic area, such as a city or country
  • VPN: a virtual private network, which allows users to securely connect to a private network from a remote location
  • VLAN: a virtual local area network, which allows for the logical segmentation of a LAN into smaller networks
  • MPLS: Multi-Protocol Label Switching, a type of data-carrying technique for high-performance telecommunications networks
  • IPsec: Internet Protocol Security, a suite of protocols for secure IP communications by authenticating and encrypting each IP packet of a communication session
  • BGP: Border Gateway Protocol, a protocol used to distribute routing information within a autonomous system in a IP network
  • Firewall: a security system that monitors and controls incoming and outgoing network traffic based on predetermined security rules and policies
  • SD-WAN: Software-Defined Wide Area Network, a network technology that allows businesses to use software to manage and optimize the performance of their WAN connections.
  • Load Balancer: a device that evenly distributes network traffic across multiple servers, ensuring that no single server is overloaded and improving the overall performance of the network.
  • Network Function Virtualization (NFV): A technology that enables network services to be hosted in software and run on commodity hardware.
  • Quality of Service (QoS): a set of technologies and techniques used to manage network resources and prioritize different types of network traffic
  • Network Address Translation (NAT): a method of remapping one IP address space into another by modifying network address information in the IP header of packets while they are in transit across a traffic routing device.
  • Routing Information Protocol (RIP) and Open Shortest Path First (OSPF) : are routing protocols used to distribute routing information within a autonomous system in a IP network
  • Simple Network Management Protocol (SNMP): a protocol used to manage and monitor network devices, such as routers, switches, and servers
  • Transmission Control Protocol (TCP): a transport layer protocol that ensures the delivery of data packets over a network
  • User Datagram Protocol (UDP): a transport layer protocol that allows applications to send data packets over a network without the need for an established connection.
  • Network Time Protocol (NTP): a protocol used to synchronize the clocks of devices on a network
  • Internet Control Message Protocol (ICMP): a protocol used to send error messages and operational information about network conditions
  • Domain Name System Security Extensions (DNSSEC): a set of extensions to DNS to provide origin authentication of DNS data and authenticated denial of existence
  • Fiber Distributed Data Interface (FDDI) : a standard for data transmission in a local area network that can extend in range up to 200 km (124 miles).