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Analysis of the electricity consumption habits of users is of great importance in demand response based load management. Load identification is an effective approach to analyze the electricity consumption habits based on historical/real-time load data. A non-intrusive load identification method based on active load demand in a house/office environment is proposed in this paper. The aim of the method...
This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves a fixed switching frequency, which gives good system performance. The paper examines the design and implementation...
State Grid of China has constructed multiple ultra high-voltage direct current (UHVDC) projects in recent years. UHVDC projects like Ximeng-Taizhou are hierarchically connected to different AC systems at the receiving end. The high voltage and low voltage valve groups on the hierarchical side are connected to different AC systems, and different tap changer steps of transformers, measurement error,...
Capacity of wind power installation has increased rapidly all over the world in recent years. However, due to the possibly unreasonable capacity/location planning and lack of proper incentives, wind curtailment is a serious problem at the same time. How to make full use of wind energy and reduce power generation costs is an important issue. From the view of wind farm planning, the wind curtailment...
Restricted by data transfer speed and bandwidth, underwater data fusion is far away from applications. A design for underwater data fusion is proposed in this paper. In order to reduce the difficulties of time-space normalization, data fusion is operated in a mono-platform, e.g. Autonomous Underwater Vehicle (AUV). Aiming at improving detection performance of AUV, the data from a bow array and a side...
Analyzing the measurements of Radar Cross Section (RCS) characteristics is an effective and important method in the non-cooperative target detection, such as the ballistic missiles. However we should not ignore target fluctuation and should obtain dynamic RCS measurements for the targets over appropriate aspect angle regions. In this paper the geometric model of a precessing conical warhead in flight...
A key prerequisite for precision medicine is the ability to assess metrics of human behavior objectively, unobtrusively and continuously. This capability serves as a framework for the optimization of tailored, just-in-time precision health interventions. Mobile unobtrusive physiological sensors, an important prerequisite for realizing this vision, show promise in implementing this quality of physiological...
With the scale of the city and the population rising in a very fast way, drainage system of cities in our country are facing huge challenge and pressure. For now, the drainage devices are overrunning and aging without timely maintenance which makes the whole drainage system running in a high risk. So there's a great need to establish a reliable evaluation system of the quantitative analysis and evaluation...
In this paper, interval type-2 fuzzy sets are used to analyze the operation of the extrusion mechanism of different 3D printers and the state of the wire-forming for 3D printer when different intervention strategies is selected. The discussion of the state for the extrusion mechanism of the 3D printer by using the theory of linguistic dynamic systems can simplify the description and deal with the...
Aiming at the unreasonable setting of traffic signal time, in this paper, a fuzzy control method based on time-varying universe is proposed to reduce vehicle delay time and relieve the serious congestion at signalized intersections. The dynamic fuzzy rules which are used to optimize the fixed signal timing method are given. The traffic date at the intersection of Yuhua District in Changsha is taken...
The discrete time based transmission constraints are commonly used in transmission constrained unit commitment problems. However, the security operation requirements may be not satisfied by the solution of the discrete time based formulation for the instantaneous power flow may not be always within the secure limits. To address the problem, the paper proposes a way to revise the formulation of the...
A design for MIMO sonar system based on subarrary and waveform diversity is proposed in this paper. Similar to co-located MIMO radar, the sonar transmitter and receiver are both closely spaced antennas. Different from the original co-located MIMO sonar, our scheme partitions the transmitting array into several subarrays. Multiple independent waveforms would be transmitted by each subarray, and the...
This article analyzes the definition and connotation of the e-commerce industry cluster, and then discuss the chaotic characteristics of the cluster from the perspective of chaos theory. Base on the qualitative results, the article discusses the five — level symbiotic relationship of e — commerce industry cluster by using Logistic expansion model, which are competition symbiosis, biased symbiosis,...
Drainage pumping station is an indispensable part of the drainage works, and the water hub for the urban drainage system's normal operation. The water cycle and transportation in urban drainage system are completed by a series of different functions of the drainage pumping stations, which burden the task of pumping the domestic sewage, industrial waste water and rainwater to the downstream pipe, water...
Capillary nonperfusion (CNP), which is one of characteristic features in diabetic retinopathy patients, is an important judgement of the appearance of retinal diseases. This paper presents a novel, fast and hybrid method to detect CNP. This model combines region-based active contour model(ACM), Graph-Cut and Fuzzy Possibilistic C-Means(FPCM). We modify ACM with a new energy function to reduce suspicious...
Visible light communication (VLC) may be expected to become a new member in the small-cell family of the next-generation heterogeneous network landscape for complementing the overloaded radio frequency band. In order to further improve the performance of our user-centric (UC) cluster formation design proposed in our previous work, the quality-of-service (QOS) metric in terms of statical delay requirements...
K-means clustering algorithm is an influential algorithm in data mining. The traditional K-means algorithm has sensitivity to the initial cluster centers, leading to the result of clustering depends on the initial centers excessively. In order to overcome this shortcoming, this paper proposes an improved K-means text clustering algorithm by optimizing initial cluster centers. The algorithm first calculates...
In process of 3D image reconstruction, the local image breakage or mismatch are appeared when the objects have high reflection and uniform color properties, such as, windshield of car, reflective paint, etc. In this study, the above-mentioned conditions are overcame by introducing the different statement of software processing to examine the 3D model reconstruction of car. Four types processes, extract...
Medical procedures often induce physical pain and psychological distress. Cancer patients are particularly vulnerable to fatigue, heightened emotional distress, social isolation, and increased risk of depression, severely reducing quality of life and potential treatment non-adherence and prolonged hospital stays. Leveraging emerging virtual reality (VR) technology, we prototyped Serenity: a mobile...
Designing and fabrication of 4kV, 20A 4H-SiC PiN diodes with JTE junction termination structure have been investigated in this paper. A bevel mesa structure and a single-zone junction termination extension (JTE) have been employed to achieve the target voltage. Finally, an optimized mesa structure without sub-trench (mesa height of 2.2 µm and mesa angle of 20°) has been experimentally demonstrated...
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