As the chemical processes become more and more complicated, it is crucial but also difficult to detect and diagnose faults in the system than ever. With the development of machine learning algorithms and cloud computing, to monitor chemical processes completely with the help of big data become true. However, most machine learning methods suffer from unexplainable problem. By employing Explainable Artificial Intelligence(XAI) techniques, this paper applies two kinds of unsupervised machine learning methods, One-Class Support Vector Machine and Depth-based Isolation Forest Feature Importance, to detect and diagnosis faults in a chemical process. By combining two different fault explanation methodologies, accuracy and reliability of the fault diagnosis results can be achieved by the validation in a simulated continuous stirred tank reactor.
This paper presents a new test pattern generation technique based on ant algorithm and genetic algorithm for improving the test generation efficiency for sequential circuits. Experimental results for the sequential benchmark circuits show that the hybrid approach not only takes full advantage of utilizing both algorithms, but also overcomes their disadvantages. It can achieve higher fault coverages and more compact test sets when compared to other similar test generation algorithms, demonstrating the combined algorithm is a successful algorithm.
Under the environment of Internet or Intranet, the concept of medical image retrivebycontent over web belongs to foreland research subject. Its essential concept is to utilize various information about medical image, for example texture, colour, shape etc. so that we can query image from medical image database. This research is definite of value both in theory and application .
Water boiling test can evaluate the adhesion between base asphalt (A-70, etc.) and stone, but cannot evaluate the adhesion between modified asphalt, the asphalt with all kinds of anti-stripping products and stone. The reason is that modified asphalt has better adhesion than base asphalt at the same test temperature, and it is very hard to damage the adhesion interface. In this paper, a new method of water boiling adhesion test at high-temperature(120°C) was proposed, and a new test devices was invented using the mass loss rate of asphalt as evaluation parameters. Choosing three kinds of aggregate, two kinds of asphalt and a kind of anti-stripping products to proceed test research, aimed to prove the feasibility of water boiling adhesion test at high-temperature. The results showed that it is better to evaluate the adhesion between high viscosity asphalt and stone using the water boiling test method at high-temperature.
In this paper, a kind of fieldbus “Profibus and its conception, communication mode and characteristics are briefly introduced with focus on the features and structure of Fieldbus Control System (FCS) and the development technique of profibus interface. Then, the decentralized control theories involved are analyzed. Finally, the application of the Profibus technology is demonstrated with some examples.
The spacecraft intelligental control experimental platform (SICEP) is introduced. It is a master slave system, which consists of a remote operation computer (ROC) and a spacecraft experimental plant body linked computer (BLC). Based on the VME bus, BLC has strong I/O interface capacity. So it can meet the measurement and actuation interface requirements of experimental plant of complex spacecraft. The ROC is regarded as user operation terminal. The effectiveness of the SICEP proposed in this paper is verified by simulation and experiment results.
In this paper, we propose a novel data delivery mechanism with accelerated service provisioning for the metro-embedded distributed datacenters. Data are divided into multiple slices and simultaneously transmitted along different paths in parallel, with the en-route datacenters selectively utilized as cache nodes for shared and collaborated data transit. A traffic scheduling algorithm based on the adapted minimax ILP model is proposed to allocate the optimal amount of data slices for each path with cache nodes. The evaluation results demonstrate an over 80% reduction of the total data delivery time. Our proposed mechanism is expected to provide efficient and reliable data services in future datacenter networks.
Additional file 2: Table S1. Antibody epitope matches for 31 'hot' L1Hs loci as described by Brouha et al, corresponding to Fig. 3e. For each locus, we indicate whether the ORF2p sequence is identical to the antibody epitope ("match") or whether it differs from the epitope. For example, the hot element on ac002980 differs in the MT5 epitope by a single amino acid (D in the antibody-derived epitope and H at the locus). The Brouha BAC clone designation, activity rating, and chromosomal positions are included in the chart.
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