- 标题
- 摘要
- 关键词
- 实验方案
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[IEEE 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - Chengdu (2018.3.26-2018.3.28)] 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - A Novel Band-Notched UWB Conformal Antenna Combined with the Method of Circuitry
摘要： A real-time latching controller with consideration of wave force prediction is developed and applied to a heaving point-absorber to maximize its energy absorption. The control scheme is based on the combination of optimal command theory and first order-one variable grey model GM(1,1). By forecasting the wave forces in the near future, the control action at the next instant is deduced. Simulation results show that the energy absorption is increased due to the real-time controller. Therefore, the developed real-time controller is applicable to an industrial wave energy converter (WEC) in random waves. The effect of wave force prediction deviation is also examined. It is shown that the control efficiency is reduced in the presence of prediction deviation.
关键词： wave energy converter,wave force prediction,renewable energy,optimal command theory,energy absorption,real-time latching control
更新于2025-09-23 15:23:52
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[IEEE 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Beijing, China (2018.10.20-2018.10.22)] 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - A Power Prediction System for Photo-Voltaic Power Plants
摘要： In this paper, a frequency domain identification-based power prediction system is developed for the photo-voltaic (PV) power plant. A first-order plus dead time (FOPDT) model of the PV power plant is first identified using the daily PV power plant operating data. Given the identified FOPDT model, we do discretization to obtain an FOPDT-based iterative calculation formula for the PV power prediction. Finally, a portable Power Prediction software of Python is developed using the resulting iterative calculation formula. In numerical experiments, we showcase the effectiveness of the Power Prediction software by applying it to real data.
关键词： Solar Irradiance,Python,Photovoltaic Power plant,Portable,Frequency Identification,Power Prediction
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Aalborg, Denmark (2018.10.29-2018.10.31)] 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Distributed Cooperative Energy Management in Smart Microgrids with Solar Energy Prediction
摘要： Smart Microgrid (SMG), integrated with renewable energy, energy storage system and advanced bidirectional communication network, has been envisioned to improve efficiency and reliability of power delivery. However, the stochastic nature of renewable energy and privacy concerns due to intensive bidirectional data exchange make the traditional energy management system (EMS) perform poorly. In order to improve operational efficiency and customers’ satisfaction, we propose a distributed cooperative energy management system (DCEMS). We adopt recurrent neural network with long short-term memory to predict the solar energy generation with high accuracy. We then solve the underlying economic dispatch problem with distributed scalable Alternating Direction Method of Multipliers (ADMM) algorithm to avoid single point of failure problem and preserve customers’ privacy. In the first stage, each SMG optimizes its operation decision vector in a centralized manner based on one-day ahead solar energy generation prediction. In the second stage, all SMGs share their energy exchange information with directly connected neighboring SMGs to cooperatively optimize the global operation cost. The proposed DCEMS is deployed in our distributed SMGs emulation platform and its performance is compared with other approaches. The results show that the proposed DCEMS outperforms heuristic rule-based EMS by more than 30%. It can also protect customers’ privacy and avoid single point of failure without degrading performance too much compared to centralized EMS.
关键词： Information prediction,Microgrid emulation platform,Distributed algorithms,Energy management system,Demand-side management
更新于2025-09-23 15:22:29
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[IEEE 2018 Prognostics and System Health Management Conference (PHM-Chongqing) - Chongqing, China (2018.10.26-2018.10.28)] 2018 Prognostics and System Health Management Conference (PHM-Chongqing) - A Remaining Useful Life Prediction Method for T/R Module Based on Index Similarity
摘要： T/R module is an important part of large phased array radar antenna array, the remaining useful life (RUL) prediction is of great significance for equipment support personnel to master current health status and improve maintenance support ability. At first, the key indexes of multi-state degradation are extracted by association rule, by calculating the similarity of the key indexes and combining the RUL of similar samples, the RUL information corresponding to the key indexes is obtained. The RUL prediction results of T/R module are obtained according to the weight of different indexes. The practicability and effectiveness of the proposed method are verified by example analysis and comparison, which provide theoretical guidance for the RUL prediction of electronic equipment. The proposed method is of great significance for maintenance support personnel of the military equipment to plan the maintenance resources reasonably and improve the combat effectiveness of the equipment.
关键词： index,T/R module,association rule,multi-state degradation,remaining useful life prediction,entropy weight method
更新于2025-09-23 15:22:29
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Energy yield prediction of a bifacial PV system with a miniaturized test array
摘要： Because of the sensitivity on multiple additional factors, compared to monofacial standard installations, the simulation and prediction of a bifacial PV arrays yield is by far more complicated and less reliable. Accordingly, the determination of optimized installation conditions is considerably less straightforward for bifacial installations. Due to the pronounced dependencies also the assignability of otherwise applied installation conditions to similar systems is limited. Because of the low accuracy of the traditional approaches to predict the bifacial system output the use of a miniaturized test rig might be an interesting option. Provided that the results can be assigned to measurements at real systems it can be used as a cheap and flexible testing device. Miniaturized devices could be used in long-term trials for yield measurements at specific locations, to identify optimum installation conditions or to validate simulation algorithms. Running several test rigs with different configurations in parallel would enable a direct comparison. The small size of a miniaturized rig also allows a fast change of the set-up, which is an interesting feature to test the respective impact at otherwise almost unchanged conditions in short-term tests. In this paper we report on a test device which is a miniaturized (1:12) replica of an existing PV array with commercial bifacial modules. The measurement data of both systems are compared in order to investigate if there is a clear assignability. A unique feature of the large test field, a permanent and automated variation of the tilt angle, is also transferred to the miniaturized version. Accordingly, the whole tilt angle range is tested and potential tilt angle dependent effects are revealed. Based on the obtained data we give an estimation of the error in the prediction accuracy and discuss options for possible improvements.
关键词： Energy yield prediction,Bifacial,Tilt angle,Test system
更新于2025-09-23 15:22:29
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Evaluating the Efficiency of Infrared Breast Thermography for Early Breast Cancer Risk Prediction in Asymptomatic Population
摘要： The high incidence and mortality rate of breast cancer in India and the limitations of gold standard method X-ray mammography to be used as a screening and diagnostic modality in young women tempted us to evaluate the efficiency of highly sensitive and non-radiating Infrared Breast Thermography (IBT) in early breast abnormality detection. This study investigates the efficiency of IBT by doing Temperature based analysis (TBA), Intensity based analysis (IBA), and Tumor Location Matching (TLM). In TBA and IBA, several temperature and intensity features were extracted from each thermogram to characterize healthy, benign and malignant breast thermograms. In TLM, the locations of suspicious regions in thermograms were matched with the tumor locations in mammograms / Fine Needle Aspiration Cytology images to prove the efficiency of IBT. Thirteen different sets of features have been created from the extracted temperature and intensity features and their classification performances have been evaluated by using Support Vector Machine with Radial basis function kernel. Among all feature sets, the feature set comprising the statistically significant (p<0.05) features provides the highest classification accuracy of 83.22% with sensitivity 85.56% and specificity 73.23%. Based on the results of this study, IBT is found to be potential enough to be used as a proactive technique for early breast abnormality detection in asymptomatic population and hence, capable of identifying the subjects that need urgent medical attention.
关键词： Routine check-up tool,Early breast abnormality prediction,Infrared breast thermography,Asymptomatic Patients,Breast cancer
更新于2025-09-23 15:22:29
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Metabolic profiling of early lactation dairy cows using milk mid-infrared spectra
摘要： Metabolic disorders in early lactation have negative effects on dairy cow health and farm profitability. One method for monitoring the metabolic status of cows is metabolic profiling, which uses associations between the concentrations of several metabolites in serum and the presence of metabolic disorders. In this cross-sectional study, we investigated the use of mid-infrared (MIR) spectroscopy of milk for predicting the concentrations of these metabolites in serum. Between July and October 2017, serum samples were taken from 773 early-lactation Holstein Friesian cows located on 4 farms in the Gippsland region of south-eastern Victoria, Australia, on the same day as milk recording. The concentrations in sera of β-hydroxybutyrate (BHB), fatty acids, urea, Ca, Mg, albumin, and globulins were measured by a commercial diagnostic laboratory. Optimal concentration ranges for each of the 7 metabolites were obtained from the literature. Animals were classified as being either affected or unaffected with metabolic disturbances based on these ranges. Milk samples were analyzed by MIR spectroscopy. The relationships between serum metabolite concentrations and MIR spectra were investigated using partial least squares regression. Partial least squares discriminant analyses (PLS-DA) were used to classify animals as being affected or not affected with metabolic disorders. Calibration equations were constructed using data from a randomly selected subset of cows (n = 579). Data from the remaining cows (n = 194) were used for validation. The coefficient of determination (R2) of serum BHB, fatty acids, and urea predictions were 0.48, 0.61, and 0.90, respectively. Predictions of Ca, Mg, albumin, and globulin concentrations were poor (0.06 ≤ R2 ≤ 0.17). The PLS-DA models could predict elevated fatty acid and urea concentrations with an accuracy of approximately 77 and 94%, respectively. A second independent validation data set was assembled in March 2018, comprising blood and milk samples taken from 105 autumn-calving cows of various breeds. The accuracies of BHB and fatty acid predictions were similar to those obtained using the first validation data set. The PLS-DA results were difficult to interpret due to the low prevalence of metabolic disorders in the data set. Our results demonstrate that MIR spectroscopy of milk shows promise for predicting the concentration of BHB, fatty acids, and urea in serum; however, more data are needed to improve prediction accuracies.
关键词： mid-infrared spectral prediction,metabolic profile,energy balance,ketosis
更新于2025-09-23 15:22:29
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18F?alfatide positron emission tomography may predict anti?angiogenic responses
摘要： As the crucial issue in the development of anti-angiogenic drugs is how to predict which patients will and will not benefit prior to the initiation of therapy, angiogenic 18F-alfatide positron emission computed tomography (PET) was assessed in the present study. Lung adenocarcinoma A549 (high angiogenesis) and prostate PC?3 (low angiogenesis) cell xenografted tumor-bearing mice underwent 18F-alfatide PET at baseline and following treatment with either an anti?angiogenic therapy or vehicle. The evaluation index for the inhibition of tumor growth in the individuals in the treated groups was represented by treatment/control (T/C) ratio (%). Anti?angiogenic responses were denoted by the changes in 18F-alfatide uptake in the same animal. The T/C ratio was lower in high-uptake tumors than in low?uptake tumors (P=0.001). A significant difference in the tumor volumes between the anti?angiogenic therapy group and the control group occurred earlier in the A549 model than in the PC?3 model. 18F-alfatide uptake decreased more for A549 tumors than for PC?3 tumors following anti?angiogenic therapy. In each treatment group, the degree of tumor response to anti?angiogenic therapy was associated well with the tumor uptake prior to treatment (P<0.05). These results indicated that 18F?alfatide PET may be a useful molecular imaging tool for individual selection prior to anti?angiogenic drug therapy.
关键词： 18F?alfatide positron emission tomography,heterogeneity,integrin αvβ3,response prediction,anti?angiogenic therapy
更新于2025-09-23 15:22:29
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Occasion determination method of low Earth orbit satellites meeting the narrow-beam signal
摘要： The determination of the occasion when the low Earth orbit satellite meets the narrow-beam signal is quite important. Based on the orbit prediction model of simplified general perturbations 4 (SGP4), the calculation model of the relative position between the low Earth orbit satellite and the ground target is established in the paper, and so is the calculation model of the relative position between the low Earth orbit satellite and the high Earth orbit communication satellite. The determination method of the occasion when the low Earth orbit satellite meets the narrow-beam signal is further proposed. It is shown by the simulation results that the proposed calculation method possesses high accuracy and feasibility and is able to satisfy the practical application requirements.
关键词： signal monitoring,SGP4,uplink signal acquisition,communication signal acquisition,payloads boot time,Satellite orbit prediction
更新于2025-09-23 15:22:29
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Improved Transistor Performance by Modulating Molecular Packing with Donor and Acceptor Moieties
摘要： The joint of the donor and acceptor moieties allows a facile and effective strategy to develop novel organic conjugated materials. However, few works report the understanding of the donor-acceptor interactions at the molecular level. Herein, we develop three small molecules contain one acceptor motif with different amounts of the donor unit. By the combination of theoretical calculation and energy level characterization, the lowest occupied molecular orbital (LUMO) levels of the three molecules were proven to be almost identical. The molecular packing modes were evaluated from crystal structure prediction. Due to the donor-acceptor interactions, the packing mode can be tuned from the 1D slipped stacking to the 2D brick layer. The 2D molecular packing and charge transport channel endowed the materials a higher electron mobility of 3.29 cm2 V?1 s?1 in the single-crystal field-effect transistors after such modulation.
关键词： organic field-effect transistor,conjugated molecules,donor-acceptor,crystal structure prediction
更新于2025-09-23 15:22:29