Protein is the specific executor of life activities, but there is no protein-based disease network and the current disease networks cannot show that a disease group share the same factors. We propose a method to const...
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In this paper, a non-linear charging processing model based on realistic electric vehicle (EV) recharging scheme is proposed. For this purpose, mathematical functions are designed to formulate the constant-current/con...
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ISBN:
(数字)9781728146294
ISBN:
(纸本)9781728146300
In this paper, a non-linear charging processing model based on realistic electric vehicle (EV) recharging scheme is proposed. For this purpose, mathematical functions are designed to formulate the constant-current/constant-voltage (CC/CV) scheme used for EV charging, and the consequent variables related to schedule decision are determined. To fit different types of EV charger, this paper gives the derivation process that to determine the charger parameters. Besides, a comprehensive EV charging profile is introduced in this work, which includes the battery's states, charger characteristics and PL's operation specification. With the use of proposed charging process model and EV profile, the estimated electric quantity for each charging time slot can be determined as crucial features in schedule constraints. Lastly, a detailed numerical study is present to evaluate the viability of our proposed model, including non-linear process, charger parameter, EV profile and electric quantity estimation.
In order to improve the efficiency of fault decision-making of gas surge tank, this paper proposes a casebased reasoning(CBR) for assistant decision-making of gas surge tank. On the basis of the real case of surge tan...
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In order to improve the efficiency of fault decision-making of gas surge tank, this paper proposes a casebased reasoning(CBR) for assistant decision-making of gas surge tank. On the basis of the real case of surge tank fault, the characteristic attributes of the case are extracted, and the case is represented by the frame representation method. Through analytic hierarchy process, local similarity calculation model and global similarity calculation model, the assistant decision-making method of gas surge tank based on case-based reasoning is established. Finally, the source case and target case are analyzed, and the results are proved. The application of this method in assistant decision-making of gas surge tank fault has practical significance.
Tracking a suspicious car or a person in a city efficiently is crucial in urban safety management. But how can we complete the task with the minimal number of spatiotemporal searches when massive camera records are in...
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Initializing a background frame for Gaussian Mixture Model requires no moving objects in the background scene. In this paper, in order to obtain an initial frame when there is a moving object in the background scene, ...
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Knowledge extraction in healthcare has become a recent research hotspot due to the rapid development of AI technology as well as the urgent demand in the medicine research and practice. Traditional methods focus on ex...
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In Software Product Line (SPL) testing, reduced test suite with high coverage is useful for early features interaction detection. sGA (simplified genetic algorithm) and SAGA(simulated annealing genetic algorithm) can ...
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Text similarity calculation is widely used by information retrieval, question answering system, plagiarism detection and so on. At present, most research just aim at text similarity of the same language, and research ...
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Macular Edema (ME) is the accumulation of fluid in the macular region of the eye, and it may lead to the distortion of center vision. It often occurs in diabetic retinopathy. It is important to measure fluid accumulat...
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Detection of sleep anomaly events, such as get up, sit up and turn over, is one of the most important tasks in human sleep monitoring. In this paper, we propose a novel sleep anomaly events detection algorithm based o...
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ISBN:
(纸本)9781728117096
Detection of sleep anomaly events, such as get up, sit up and turn over, is one of the most important tasks in human sleep monitoring. In this paper, we propose a novel sleep anomaly events detection algorithm based on an adaptive double threshold constant-false-alarm-rate (ADT-CFAR) detector using ultra-wideband (UWB) radar. The proposed algorithm firstly removes the static clutter, detects the human and performs the time-frequency transform for the received signals. By extracting the power burst curve (PBC) from the obtained time-frequency maps, we can formulate the sleep anomaly events detection by a binary hypothesis test and then develop an ADT-CFAR detector, which is based on log-normal distribution. A series of experiments are conducted and the results show the effectiveness of the proposed detector.
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