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FSR-SPD: an efficient chaotic multi-image encryption system based on flip-shift-rotate synchronous-permutation-diffusion operation
Images are a crucial component in contemporary data transmission. Numerous images are transmitted daily through the open-source network. This paper...
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The Entity-Operation Model for Practical Multi-entity Deployment
In the world of multi-agent system (MAS) frameworks, developers are many times forced into a fixed and reduced array of abstractions, with limited...
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A Collision Aware Multi-link Operation for Next Generation WLAN
In a wireless local area network (WLAN), when the contention is fierce, most of the frames are collided and backoff windows are doubled, resulting in...
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Research on Intelligent Prediction of Power Transformation Operation Cost Based on Multi-dimensional Mixed Information
Operation cost is an important link in the operation of power enterprises. In the process of intelligent prediction of power transformation operation...
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Dynamic Multi-objective Operation Optimization of Blast Furnace Based on Evolutionary Algorithm
Blast furnaces play a critical role in the steel industry, and their operational optimization is crucial for energy conservation and emissions...
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Linear normalization attention neural Hawkes process
With the development of the Internet and the formal arrival of the era of big data, people record, store and process data in electronic form, while...
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Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm
Optimal power flow (OPF) in a hybrid alternating current and multi-terminal high-voltage direct current (AC-MTHVDC) grid is currently one of the most...
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A Multi-algorithm Approach to the Optimization of Thermal Power Plants Operation
A new multi-algorithm approach for the daily optimization of thermal power plants and the Economic Dispatch was tested. For this, the dispatches were...
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Process Choreography
This chapter elaborates on the concepts of designing, implementing, and executing process choreographies and follows a model-driven, top-down...
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Process Digitalization Through Robotic Process Automation
In the context of digital transformation, innovative technologies, such as the Internet of Things and cloud computing, are seen as drivers for...
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A novel model for assessing the degree of intelligent manufacturing readiness in the process industry: process-industry intelligent manufacturing readiness index (PIMRI)
Recently, the implementation of Industry 4.0 has become a new tendency, and it brings both opportunities and challenges to worldwide manufacturing...
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Imperative Process Algebra and Models of Parallel Computation
Studies of issues related to computability and computational complexity involve the use of a model of computation. Central in such a model are...
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Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization
In this study, we propose a pioneering framework for generating multi-objective counterfactual explanations in job-shop scheduling contexts,...
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Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
The reverse osmosis (RO) process is a well-established desalination technology, wherein energy-efficient techniques and advanced process control...
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NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems
System-on-Chip (SoC) manufacturers use Core Level Redundancy (CLR) scheme to cope with fabrication defects. By providing redundancy with extra cores...
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File processing security detection in multi-cloud environments: a process mining approach
Cloud computing has gained popularity in recent years, but with its rise comes concerns about data security. Unauthorized access and attacks on...
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Investigation on robotic cells design improvement in the welding process of body in white
Issues about cycle time optimization is of great importance in the field of automotive production, the industrial robots are widely used in the...
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The multi-mode operation decision of cleaning robot based on curriculum learning strategy and feedback network
In this paper, the model and its curriculum learning method of garbage hierarchical classification and corresponding operation mode decision in home...
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Modelling event sequence data by type-wise neural point process
Event sequence data widely exists in real life, where each event is typically represented as a tuple, event type and occurrence time. Recently,...
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Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse
In today’s smart environments, the serviceli-zation of various resources has produced a tremendous number of IoT- and cloud-based smart services....