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We had proposed a novel and fast Electrocardiogram (ECG) signal compression algorithm for non-uniform sampling in time domain [1]. It meets the real-time requirement for clinical application. Moreover, the compression performance is stable and uniform even for abnormal ECG signals. A criterion called sum square difference (SSD) is defined as an error test equation. The algorithm using SSD to calculate error tolerance is applied to the records in MIT-BIH database (with 11-bit resolution and 360 Hz sampling rate). It belongs to the threshold-limited algorithm but [1] does not mention much about this kind of algorithm. In this paper we provide more comparisons among SSD, Fan, scan-along polygonal approximation (SAPA), maximum enclosed area (MEA), and optimization algorithm (OPT) using the two measures called sample compression ratio (SCR) and percent root mean squared difference (PRD) with proper mean offset that [1] does not adopt. The results show SSD outperforms the mentioned algorithms with the same computational complexity O(n). Moreover, the comparison with the best but time-consuming coder OPT (O (n3)) shows how much the algorithm can be improved.
Many companies and their associated supply chains are now operating in an increasingly digitalized way. On the other hand, with increasing levels of disruptive events taking place around the world, global supply chains are exposed to more complex risks that threaten their short- or long-term viability. Compared to ordinary conditions, supply chains affected by emergency events are more prone to significant delays of supply or even breakage due to the suddenness, complexity, and destructiveness of these events. To overcome the disruptions caused by emergency events, many companies have been building supply chain resilience (SCR) to quickly restore ordinary operations. Consistent with this trend, this chapter analyzes the architecture of traditional supply chain systems and proposes a new system architecture based on blockchain technology. Examples from Japan are used to demonstrate that blockchain technology can minimize the losses caused by the disruption of the supply chain system when emergency events occur, and fundamentally improve and strengthen SCR.
With the development of electronic technology in automotives, the quality requirements for automotives' electronic software have increased over time. As a result, software quality problems have become more and more prominent. This paper thus studies the testing of software for automotives' electronic control system. In so doing, the method and process of the test are introduced, and the validity of the test is demonstrated using the example of SCR control system.
The catalysts, M (10)/MOR (M=Mn, Fe, Ni), were prepared by impregnation methods and characterized by XRD, NH3-TPD and NO-TPD. Also, its catalytic activity on CH4-SCR denitrification reaction was evaluated with fixed-micro reactor. Results showed that Mn (10)/MOR catalysts have good activity and NO conversion rate reached to 30.93% when the temperature is 357°C. The activity of catalyst was influenced by the acidity and the ability of adsorption/desorption of NO.