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1.
巡天观测与高能物理、黑洞天文等领域均有密切的联系.基于星系-超新星二分类问题,研究光谱数据预处理,结合余弦相似度改善PCA(Principal Component Analysis)光谱分解特征提取方法,用SDSS(the Sloan Digital Sky Survey)、WISeREP(the Weizmann Interactive Supernova data REPository)组成的5620条光谱数据集训练支持向量机,可以得到0.498%泛化误差的识别模型和新样本分类概率.使用Neyman-Pearson决策方法建立NPSVM(Neyman-Pearson Support Vector Machine)模型可进一步降低超新星的漏判率. 相似文献
2.
S. P. Villacorta K. G. Evans K. Nakatani I. Villanueva 《Australian Journal of Earth Sciences》2020,67(3):425-436
AbstractLarge debris flows in steep-sloped ravines debouching to the Rimac River, in metropolitan Lima (Peruvian capital), have resulted in considerable loss of life and property adversely impacting communities in the region. Temporal, spatial and volumetric features of debris flows are difficult to predict, and it is of utmost importance that achievable management solutions are found to reduce the impact of these catastrophic events. The emotional and economic toll of these debris flows on this increasingly densely populated capital city in South America is devastating where communities must live in such inadequate and dangerous conditions. To address this problem, the application of advanced Japanese technology, Sustainable Actions Basin Orientation (SABO), has been investigated using a geomorphological modelling to develop an implementation plan. Rayos de Sol stream basin in Chosica, was selected as a pilot to develop the proposal, as it is considered high risk due to the presence of ancient debris flows and recent flows in 2012, 2015 and 2017. The recurrence of debris flows in this location has resulted in numerous deaths and catastrophic property losses. This study combines geologic and geomorphic mapping and hydraulic and landform evolution numerical modelling. The implementation of a SABO Master Plan based on the multidisciplinary assessment hazard scenarios, will allow the implementation of feasible mitigation actions. The SABO technology has been applied successfully in Japan and other countries in areas with steep short slopes, similar to the conditions surrounding the Peruvian capital. Results from this study will be presented to the Peruvian Government as part of an action plan to manage debris-flow impact.
- KEY POINTS
High-risk mass slope failure is linked to poor urban planning in urban developing regions of Lima the capital of Peru.
A multidisciplinary study including geotechnical and hydrological analysis, engineering design, and socio-economic research is required to implement a SABO Master Plan, and this basin is pilot study basin.
At the present time, a maintenance programme for existing hydraulic structures should be implemented, and a flood risk management plan developed may propose the relocation of some communities and infrastructure.
3.
介绍地震应急指挥中心中控系统的建设情况,阐述了可视化智能中控系统的功能需求、逻辑结构和应用框架结构,分析了可视化智能中控系统的功能特点,并对中控系统的技术发展和应用进行展望。 相似文献
4.
A novel concept catamaran equipped with a suspended cabin, named Wave Harmonizer Type 4 (WHzer-4), is proposed and evaluated. The mass-spring-mass system is constructed by mounting four sets of suspensions in-between the cabin and the twin-hull. Two sets of dual motor/generators (M/Gs) are attached on the center beam of the cabin's deck fore and aft. Each shaft-end of the dual M/Gs is connected to the twin-hull through a rack-pinion gear unit. In this way the vertical relative motion between the cabin and the twin-hull can be transferred into the rotational motion of the M/Gs, and vice versa. A semi-active motion control system, which contains a proportional-integral (PI) controller, is designed and applied to each of the dual M/Gs for the aim of absorbing wave energy under the condition of suppressing the local vertical velocity of the cabin as much as possible. A 1/5 scale model ship with a length of 1.6 m is built, and a forced-oscillation bench test is implemented to validate the performance of the control system. Then, a series of towing tank tests is carried out in regular head waves. The heave and pitch responses of the cabin, those of the twin-hull and the corresponding wave energy capture width ratio (CWR) at five control scenarios and two reference scenarios are investigated. Discussion on the results of the tank test shows that the motion reduction of the cabin and the wave energy harvesting can be achieved simultaneously at a few wave conditions. However, at other conditions, although noticeable amount of wave energy is harvested, motion reduction of the heave and pitch of the cabin could not be obtained at the same time. It is suggested that varying the gain settings of the PI controllers according to the location of the controllers may improve the effectiveness of the proposed control system. 相似文献
5.
《Chinese Astronomy and Astrophysics》2020,44(1):41-60
AST3-2 (the second Antarctic Survey Telescope) is located in Antarctic Dome A, the loftiest ice dome on the Antarctic Plateau. It produces a huge amount of observational data which require a more efficient data reduction program to be developed. Also the data transmission in Antarctica is much difficult, thus it is necessary to perform data reduction and detect variable and transient sources remotely and automatically in Antarctica, but this attempt is restricted by the unsatisfactory performance of the low power consumption computer in Antarctica. For realizing this purpose, to develop a new method based on the existing image subtraction method and random forest algorithm, taking the AST3-2 2016 dataset as the test sample, becomes an alternative choice. This method performs image subtraction on the dataset, then applies the principle component analysis to extract the features of residual images. Random forest is used as a machine learning classifier, and in the test a recall rate of 97% is resulted for the positive sample. Our work has verified the feasibility and accuracy of this method, and finally found out a batch of candidates for variable stars in the AST3-2 2016 dataset. 相似文献
6.
2012-2018年巢湖水质变化趋势分析和蓝藻防控建议 总被引:4,自引:3,他引:1
巢湖自1990s中期至2012年间水质明显改善,但是近年来水质改善效果变缓,2018年蓝藻水华面积显著增加,为有效评估巢湖水体环境的变化,通过对20122018年巢湖17个点位的逐月调查数据分析阐述了近年来巢湖水质和藻情的变化特征,并在流域空间尺度上分析了巢湖流域水污染治理的进展和不足,为后续治理方向的调整和确定提供支撑.20122018年湖区调查数据显示:巢湖湖体总磷和总氮浓度显著升高,铵态氮浓度显著下降,水华蓝藻总量显著升高.在空间上,各污染指标水平呈现由西向东呈逐渐降低的趋势,但是各指标在不同湖区随时间的变化趋势差异明显,西部湖区的总磷、总氮和水华蓝藻指标近年来略有下降或持平,中部和东部湖区则显著升高,所以巢湖湖体总氮和总磷浓度的升高主要源于中、东部湖区的升高,这也是这两个湖区水华蓝藻变动的主要驱动因素.主要入湖河口数据显示:西部4条主要入湖污染河流(南淝河、十五里河、塘西河和派河)水质明显改善,但仍处于较高污染水平,中东部入湖河流(兆河、双桥河和柘皋河)总磷浓度明显升高,是中东部湖区水体营养盐升高的主要原因.中东部河流入湖污染的增加加剧了该区域湖体的富营养化水平,尤其是总磷浓度明显提升,导致中东部湖区夏季水华蓝藻的优势种从鱼腥藻种类演替为微囊藻种类.夏季微囊藻的大量繁殖,使得2018年巢湖中东部湖区部分月份水华面积异常增高.因此,巢湖流域的治理应该在持续强化流域西部合肥市污染治理的同时,增加对流域中部和东部治理的关注和投入. 相似文献
7.
为查明鄂尔多斯盆地塔然高勒地区直罗组上段、下段的岩性-岩相特征以及参与蚀变作用的流体强度差异,开展了系统的岩心观察、剖面对比,并结合黏土矿物、碳氧同位素和U、Th元素等手段进行分析。结果表明,研究区南部直罗组上段主要由灰绿色、红色泥岩夹透镜状红色、黄色、灰绿色砂岩组成,北部主要由红色泥岩与灰绿色砂岩构成,南北部下段均由灰白色、灰绿色砂岩或砂砾岩夹薄层泥岩组成。直罗组红色砂岩为原生沉积,灰绿色砂岩为后生改造类型;上段受含氧含铀水和深部还原性流体作用强度较下段变弱,且由北向南作用程度降低,北部还原蚀变岩石与原生岩石共存,南部基本保留原生岩石;下段则受流体改造更为充分,主体为后生蚀变岩石。直罗组不同类型砂体的展布兼受沉积相和后期流体双重作用,但强弱差异性明显,限制了铀矿化产出在直罗组下段砂体中的定位,因此,上、下段应作为不同的成矿体系讨论。 相似文献
8.
《Chinese Astronomy and Astrophysics》2019,43(3):424-443
The uv-faceting imaging is one of the widely used large field of view imaging technologies, and will be adopted for the data processing of the low-frequency array in the first stage of the Square Kilometre Array (SKA1). Due to the scale of the raw data of SKA1 is unprecedentedly large, the efficiency of data processing directly using the original uv-faceting imaging will be very low. Therefore, a uv-faceting imaging algorithm based on the MPI (Message Passing Interface)+OpenMP (Open Multi-Processing) and a uv-faceting imaging algorithm based on the MPI+CUDA (Compute Unified Device Architecture) are proposed. The most time-consuming data reading and gridding in the algorithm are optimized in parallel. The verification results show that the results of the proposed two algorithms are basically consistent with that obtained by the current mainstream data processing software CASA (Common Astronomy Software Applications), which indicates that the proposed two algorithms are basically correct. Further analysis of the accuracy and total running time shows that the MPI+CUDA method is better than the MPI+OpenMP method in both the correctness rate and running speed. The performance test results show that the proposed algorithms are effective and have certain extensibility. 相似文献
9.
《Chinese Astronomy and Astrophysics》2019,43(4):539-548
Machine learning has achieved great success in many areas today. The lifting algorithm has a strong ability to adapt to various scenarios with a high accuracy, and has played a great role in many fields. But in astronomy, the application of lifting algorithms is still rare. In response to the low classification accuracy of the dark star/galaxy source set in the Sloan Digital Sky Survey (SDSS), a new research result of machine learning, eXtreme Gradient Boosting (XGBoost), has been introduced. The complete photometric data set is obtained from the SDSS-DR7, and divided into a bright source set and a dark source set according to the star magnitude. Firstly, the ten-fold cross-validation method is used for the bright source set and the dark source set respectively, and the XGBoost algorithm is used to establish the star/galaxy classification model. Then, the grid search and other methods are used to adjust the XGBoost parameters. Finally, based on the galaxy classification accuracy and other indicators, the classification results are analyzed, by comparing with the models of function tree (FT), Adaptive boosting (Adaboost), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Stacked Denoising AutoEncoders (SDAE), and Deep Belief Nets (DBN). The experimental results show that, the XGBoost improves the classification accuracy of galaxies in the dark source classification by nearly 10% as compared to the function tree algorithm, and improves the classification accuracy of sources with the darkest magnitudes in the dark source set by nearly 5% as compared to the function tree algorithm. Compared with other traditional machine learning algorithms and deep neural networks, the XGBoost also has different degrees of improvement. 相似文献
10.
总磷是长江流域水环境污染的首要超标因子,岷江作为长江上游流量最大的支流,总磷污染严重,对长江总磷污染贡献较大。为了解岷江流域总磷污染,采用排污系数法,计算得到2016年岷江流域污染源总磷入河量为1 154 t,以农村生活污染负荷占比最高(51.3%),其次为城镇生活源(28.7%)、农业非点源(8.24%)、工业源(9.57%)、畜禽养殖源(1.21%),城市径流源(0.99%)最低;在空间上岷江流域总磷污染负荷呈中游(64.2%)>下游(32.6%)>上游(3.1%)的特点,与岷江干流总磷浓度变化趋势相符,其中成都市总磷污染负荷最高(51.2%),与区域人口密度高、生产和生活活动密集有关。结合资料收集和现场调查,岷江流域总磷污染成因主要包括农村生活污染治理缺口较大、城镇生活污染处理基础设施建设不足、工业企业密布、部分支流总磷污染严重、水污染治理导向不全面。针对岷江总磷污染负荷分布特征及成因,提出“上游保护优质水体、中游治理重污染水体、下游恢复不达标水体”的分区污染防治对策,统筹流域监管体制机制,强化岷江流域水环境保护和治理。 相似文献