6,642 research outputs found
The max convolution approach to equilibrium analysis
Sun N, Yang Z. The max convolution approach to equilibrium analysis. Working Papers. Institute of Mathematical Economics. Vol 341. Bielefeld: Center for Mathematical Economics; 2002
Numerical modelling of ice floods in the Ning-Meng reach of the Yellow River basin
The Ning-Meng reach of the Yellow River basin is located in the Inner Mongolia region at the Northern part of the Yellow River. Due to the special geographical conditions, the river flow direction is towards the North causing the Ning-Meng reach to freeze up every year in wintertime. Both during the freeze-up and break-up period, unfavourable conditions occur which may cause ice jamming and ice dam formation leading to dike breaching and overtopping of the embankment. Throughout history this has often led to considerable casualties and property loss. Enhanced economic development and human activities in theregion have altered the characteristics of the ice regime in recent decades, leading to several ice disasters during freezing or breaking-up periods. The integrated water resources management plan developed by the Yellow River Conservancy Commission (YRCC) outlines the requirements for water regulation in the upper Yellow River during ice flood periods. YRCC is developing measures that not only safeguard against ice floods, but also assure the availability ofadequate water resources. These provide the overall requirements for developing an ice regime forecasting system including lead-time prediction and required accuracy. In order to develop such a system, numerical modelling of ice floods is an essential component of current research at the YRCC, together withfield observations and laboratory experiments. In order to properly model river ice processes it is necessary to adjust the hydrodynamic equations to account for thermodynamic effects. In this research, hydrological and meteorological data from 1950 to 2010 were used to analyse the characteristics of ice regimes in the past. Also, additional field observations were carried out for iceflood model calibration and validation. By combining meteorological forecasting models with statistical models, a medium to short range air temperature forecasting model for the Ning-Meng reach was established. These results were used to improve ice formation modelling and prolong lead-time prediction. The numerical ice flood model developed in this thesis for the Ning-Meng reach allows better forecasting of the ice regime and improved decision support for upstream reservoir regulation and taking appropriate measures for disaster risk reduction.Dissertation submitted in fulfillment of the requirements of the Board for Doctorates of Delft University of Technology and of the Academic Board of the UNESCO-IHE Institute for Water Education.Environmental Fluid Mechanic
GAYA KOMUNIKASI DAKWAH NING UMI LAILA PADA LIVE COMAL PEMALANG
Communication style is a way for a person to convey messages verbally and non-verbally in the hope that it will be conveyed well to the recipient of the message. In receiving da'wah messages, the communication style used by a da'i is considered important to attract the attention of the mad'u so that the da'wah message is well received by the mad'u. The problem in this study is how the communication style used by Ning Umi Laila in the live Comal Pemalang.
The method used in this study is qualitative descriptive, using Norton's communication style which will produce descriptive data that is emphasized as deeply as possible through the theory of the communication style.
The results of this study provide an answer to the problem that the author found several communication styles used by Ning Umi Laila in delivering her lectures. This is in line with the 10 communication styles according to Norton that are applied in the parts of Ning Umi Laila's lectures, namely friendly communication style, animated style, dominant style, dramatic style, open style, argumentative style, relaxed style, attentive style, precise style, and memorable leaving style. Furthermore, for the intonation used by Ning Umi Laila in delivering her lecture using these communication styles, namely dynamic intonation, tempo intonation, and high-pitch intonation in the context of cheerfulness
Paguyuban Duta Wisata Gus & Ning Jember: Partisipasi, Personal Branding dan Repesentasi Pemuda Jember
Kabupaten Jember merupakan salah satu daerah yang memiliki potensi melimpah, baik itu dalam bidang pariwisata, kebudayaan, pertanian, dan lain lain. Agar bisa dikenal dan diakui keberadaannya, maka dibutuhkan promosi dan sosialisasi yang tepat sasaran sehingga bisa banyak mendatangkan wisatawan (baik itu wisatawan lokal maupun manca negara). Promosi dan sosialisasi yang dilakukan tidak mungkin hanya dilakukan oleh pemerintah saja, butuh sinergi antara berbagai pihak untuk mewujudkannya dengan maksimal. Pemuda sebagai generasi penerus bangsa tentunya diharapkan memiliki partisipasi besar dalam program pembangunan daerah. Maka dari itu, Kabupaten Jember membentuk Paguyuban Duta Wisata Gus & Ning Jember yang dinaungi langsung oleh Dinas Pariwisata dan Kebudayaan Kab. Jember.
Penelitian ini merupakan penelitian kualitatif dengan menggunakan teori tindakan sosial dari Max Weber dengan metode Verstehen/penafsiran dan pemahaman (interpretative understanding). Dimana dengan metode ini, dilakukan penggalian data menggunakan teknik wawancara (in-depth interview) dan dipadukan dengan motede observasi. Wawancara yang dilakukan peneliti menggunakan guide interview dan dituliskan dalam transkrip wawancara. Dalam menentukan informan, peneliti menggunakan teknik purposive sampling, informan merupakan anggota Paguyuban Duta Wisata Gus & Ning Jember yang terlibat aktif dalam kegiatan atau program yang dijalankan.
Paguyuban Wisata Gus & Ning bukan hanya sebuah ajang untuk menampilkan kecantikan saja namun ajang tersebut melahirkan pemuda yang mampu mempromosikan pariwisata, kebudayaan, dan potensi yang ada di Kabupaten Jember. Program Gus & Ning memiliki 3 makna dalam pembentukannya yakni sebagai sarana partisipasi yang tercermin pada tiga pokokDosen Pembimbing Utama : Baiq Lily Handayani, S.Sos., M.Sosi
The Impact of Retail Attention on MAX Effect
Bali et al. (2011) document that due to investors\ue2 preferences for lottery-type stocks, the portfolio with high maximum daily returns over the past one month significantly underperforms than the portfolio with low maximum daily return, which is called \ue2MAX effect\ue2\ue2. In this study, we investigate whether retail attention driven by advertising affects MAX Effect. According to Focke et al. (2015), we use the Wikipedia pageviews (WIKI) as a proxy for retail attention with advertising and MAX effect to interpret the stock market anomalies. Different from those researches on Google Trends, WIKI is based on the frequency when users browse through firm\ue2s Wikipedia page, so it can capture retail attention more clearly. Our results show that the change in advertising has a positive impact on retail attention. In particular, the portfolio with higher advertising spending is significantly higher than the portfolio with lower advertising spending, and the retail attention driven by the advertising effect has positive predictive power on stock returns. It implies that firm managers can influence stock return by increasing advertising spending. On the other hand, the MAX effect in the high advertising attention portfolio is more pronounced than in the lower advertising attention portfolio. Our findings suggest that the advertising\ue2s spillover effect on stock returns is more likely to attract investors who prefers to lottery-type stocks, increase the stock prices in short-term, and subsequently strengthen MAX effect
Chen Ning Yang’s New Contributions After He Returned to Where He Started
Chen Ning Yang returned to Tsinghua University as a full professor in 2003. Regarding the fact that very few people know what Professor Yang has contributed to science and to China after his return, in this article new contributions of Chen Ning Yang are introduced as far as the author knows, including his leading role in China’s sciences, the research in statistical physics, the role in cultivating gifted students, his research in history of science, and all other aspects relating to China’s developments. </jats:p
Limitations of Local Quantum Algorithms on Random MAX-k-XOR and Beyond
We introduce a notion of generic local algorithm, which strictly generalizes existing frameworks of local algorithms such as factors of i.i.d. by capturing local quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA).
Motivated by a question of Farhi et al. [arXiv:1910.08187, 2019], we then show limitations of generic local algorithms including QAOA on random instances of constraint satisfaction problems (CSPs). Specifically, we show that any generic local algorithm whose assignment to a vertex depends only on a local neighborhood with o(n) other vertices (such as the QAOA at depth less than εlog(n)) cannot arbitrarily-well approximate boolean CSPs if the problem satisfies a geometric property from statistical physics called the coupled overlap-gap property (OGP) [Chen et al., Annals of Probability, 47(3), 2019]. We show that the random MAX-k-XOR problem has this property when k ≥ 4 is even by extending the corresponding result for diluted k-spin glasses.
Our concentration lemmas confirm a conjecture of Brandao et al. [arXiv:1812.04170, 2018] asserting that the landscape independence of QAOA extends to logarithmic depth - in other words, for every fixed choice of QAOA angle parameters, the algorithm at logarithmic depth performs almost equally well on almost all instances. One of these lemmas is a strengthening of McDiarmid’s inequality, applicable when the random variables have a highly biased distribution, and may be of independent interest
Analysis of remote sensing approaches used by Estonian forest management specialists
Magistritöö
Metsamajanduse ja metsaökoloogia õppekavalUurimuse eesmärk oli selgitada metsasektori spetsialistide kasutusharjumusi ruumiandmete,
veebipõhiste kaardirakenduste ning GIS tarkvara kasutamise osas ning analüüsida
metsaspetsialistide eelistusi erinevate kaardirakenduste lõikes. Uurimuseks vajalikud andmed
koguti küsimustiku kaudu, millele vastas 53 metsamajandusega tegelevat spetsialisti nii
avalikust- kui erasektorist. Uurimuse tulemusi analüüsides selgus, et metsamajandamisega
tegelevad spetsialistid kasutavad oma töös sagedasti metsaregistri ja Maa-ameti avalike
teenuseid ning nendes olevaid ruumiandmeid. Ruumiandmete päringute tegemisel on tähtsal
kohal ka Fotoladu veebirakendus ning tööandja pakutav geoinfosüsteem. Vähem leiavad
rakendust drooniga jäädvustatud ruumiandmed ning kaarditöötlustarkvarad. Uurimuse
tulemustele tuginedes joonistusid välja erinevate kaardirakenduste ja ruumiandmete kogumise
puudused, millele andis autor võimalikud arengusuunad.The aim of the study was to examine the user habits of spatial data, web-based map
applications, and GIS software among forestry sector specialists, as well as to analyze their
preferences for different mapping applications. The data needed for the study was collected
via a questionnaire, which was answered by 53 forestry specialists from both the public and
private sectors. Analysis of the study's results revealed that specialists engaged in forest
management frequently use the Forest Register and the Estonian Land Board public services
along with the spatial data provided therein. The Fotoladu web application and the employerprovided
GIS also play an important role in conducting spatial data queries. Less commonly
used are spatial data captured by drones and map processing software. Based on the results of
the study, shortcomings in various map applications and spatial data collection methods
emerged, for which the author proposed possible development strategies
A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms
We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms (SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds (a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines--in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases
Graph based semi-supervised learning in computer vision:
Machine learning from previous examples or knowledge is a key element in many image processing and pattern recognition tasks, e.g. clustering, segmentation, stereo matching, optical flow, tracking and object recognition. Acquiring that knowledge frequently requires human labeling of large data sets, which can be difficult and time-consuming to obtain. One way to ameliorate this task is to use Semi-supervised Learning (SSL), which combines both labeled and raw data and incorporates both global consistency (points in the same cluster are likely to have the same label) and local smoothness (nearby points are likely to have the same label). There are a number of vision tasks that can be solved efficiently and accurately using SSL. SSL has been applied extensively in clustering and image segmentation. In this dissertation, we will show that it is also suitable for stereo matching, optical flow and tracking problems.
Our novel algorithm has converted the stereo matching problem into a multi-label semi-supervised learning one. It is similar to a diffusion process, and we will show our approach has a closed-form solution for the multi-label problem. It sparks a new direction from the traditional energy minimization approach, such as Graph Cut or Belief Propagation. The occlusion area is detected using the matching confidence level, and solved with local fitting. Our results have been applied in the Middlebury Stereo database, and are within the top 20 best results in terms of accuracy and is considerably faster than the competing approaches.
We have also adapted our algorithm, and demonstrated its performance on optical flow problems. Again, our results are compared with the ground truth and state of the art on the Middlebury Flow database, and its advantages in accuracy as well as speed are demonstrated.
The above algorithm is also being used in our current NSF sponsored project, an Automated, Real-Time Identification and Monitoring Instrument for Reef Fish Communities, whose goal is to track and recognize tropical fish, initially in an aquarium and ultimately on a coral reef. Our approach, which combines background subtraction and optical flow, automatically finds the correct outline of multiple fish species in the field of view, and tracks the contour reliably over consecutive frames. Currently, near real-time results are being achieved, with a processing frame rate of 3-5 fps.
The recent progress in semi-supervised learning applied to image segmentation is also briefly reviewed.Ph.D.Includes bibliographical references (p. 54-55)by Ning Huan
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