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It is recognized that systems are the most complicated entities in abstract, physical, information, cognitive, brain, and social worlds across a wide range of science and engineering disciplines. This paper presents a theory of distributed system topologies and adaptive fusion mechanisms. It reveals that structural and functional relations play a centric role in system behavior modeling. A special...
As the emerging development of IoT circumstance, on-line detections or observations of a system states become easier by facilitating its corresponding multi-sensory responses, and thus the description of a system behavior becomes clearer. Abundant on-line multi-channel information from the embedded sensors would be advantageous to the understanding of the system. Though having the information, it...
Medical search technologies are crucial to enable the user to rapidly and effectively discover useful information from massive medical and clinical data. Because of the complexity of medical terminology, traditional information search methods have not fully expressed the intention of the query request and explored the potential semantic knowledge in the document. In this paper, we propose a multi-analysis...
An active queue management controller based on Hamiltonian energy theory for a class of nonlinear TCP network congestion system in the p resence of uncertain parameters and unknown external disturbances is derived. The restriction of inequality assumption is eliminated by introducing the MiniMax methods into dissipation Hamilton system. Sufficient conditions for the existence of MiniMax controller...
In this paper, we investigate the job scheduling problems with human multitasking and asymmetric switching costs. It is shown that the makespan problem is binary NP-hard. Both the total completion time and the due date assignment problems are unary NP-hard. We then consider a special case in which the cost of switching from job A (interrupted job) to job B (interrupting job) is in a form of κ1 ƒpA...
The efficient siphon computation is the key to the development of siphon-based deadlock control strategies with good performance. This work studies the computation of minimal siphons in a class of Petri nets called S4PR. Firstly, we propose a function with polynomial complexity to determine whether a resource subset can generate a minimal siphon. Next, using the technique of problem partitioning,...
Cognitive load corresponds to the amount of working memory demanded while performing a certain task. Estimation of cognitive load is crucial to many domains and the usage of pupil size dilation to accomplish this is widely researched. However, existing approaches suffer severely as they are largely based on the raw pupil size. In this study, we aim to use the frequency domain analysis of the pupil...
Many industries are facing rapid growth in the complexity of the systems they develop. In the automotive domain, vehicles are essentially becoming high performance computing platforms, comprised of dozens of electronic control systems (ECUs) that process over 100 million of lines of software code. In addition, Tens of thousands of vehicle product variants must be managed. One of the primary ways problems...
A Probabilistic Conditional Preference network (PCP-net) provides a compact representation of preferences characterized with uncertainty. We propose to enrich the expressive power of the PCP-net by adding constraints between some of the variables. We call this new model, the Constrained PCP-net (CPCP-net). We study the key preference reasoning task with the proposed CPCP-net which consists in finding...
A decentralized connective stabilization control problem employing reduced-order observers is solved for complexity large-scale systems with expanding construction. Without changing the original decentralized control laws, a decentralized controller is designed for the resulting expanded system so that the new subsystem added to the original one and the expanding system are robustly connective stable...
This paper identifies a small, essential set of static software code metrics linked to the software product quality characteristics of reliability and maintainability and to the most commonly identified sources of technical debt. A plug-in is created for the Understand code visualization and static analysis tool that calculates and aggregates the metrics. The plug-in produces a high-level interactive...
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