DTD elements
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A dictionary in Python is an unordered collection of key-value pairs where keys must be unique and immutable. It allows storing and accessing data values using keys. Keys can be of any immutable data type while values can be of any data type. Dictionaries can be created using curly braces {} or the dict() constructor and elements can be added, accessed, updated, or removed using keys. Common dictionary methods include copy(), clear(), pop(), get(), keys(), items(), and update().
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HOW TO CREATE A DICTIONARY
INITIALIZE THE DICTIONARY
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Dictionary in python
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https://computerassignmentsforu.blogspot.com/p/dictinpyxii.html
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The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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- 2. 1. Declaring elements • XML document has number of elements. • The first node of XML document is called the root node. Syntax: <!ELEMENT element-type category> Ex: <!ELEMENT name(fname, lname)*>
- 3. Control characters • Item* • (item1,item2,item3) • Item • (item1,item2) • (item1/item2) • Item+ • Item? • Appears zero or more times. • Separates items in a sequence. • Appears exactly once. • Closes a group of items. • Only one may appear. • Appears at least once. • Appears once or not at all. Ex: <!ELEMENT recipe(name, ingredients+ ,cooking+ serves?, instruction*)>
- 4. 2. DTD attributes • Attributes are additional information associated with an element type. • ATTLIST is used to identify attributes for elements. • Syntax: <!ATTLIST element-name attribute- name attribute-type default-value> <element attribute-name=“attribute-value”>
- 5. • Ex: <?xml version=“1.0”> <!DOCTYPE image[ <!ELEMENT image EMPTY> <!ATTLIST image height CDATA #REQUIRED> <!ATTLIST image width CDATA #REQUIRED> ]> <image height=“32” width=“32”>
- 6. 3. DTD entities • It is a symbolic representation of information. • Mark up elements that contains complex data are often referred as entities. • Entities are variables used to define shortcuts to text and special characters. • They are internal and external.
- 7. 1. Internal entity • Refers to data that an XML processor has to parse. • Syntax: <!ENTITY name “entity value”> Ex: <?xml version=“1.0”> <!DOCTYPE letter[ <!ENTITY hbd “happy birth day”> ]> <letter> &hbd;</letter>
- 8. 2. External entity • Used for creating a common reference that can be shared between multiple documents. • There are two types: private and public • Syntax: <!ENTITY name SYSTEM “URL/URI”> <!ENTITY name PUBLIC “publicID” “URI”>