Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactive MultiObjective Optimization Procedure

This research focuses on multiobjective system design and optimization. The primary goal is to develop and test a mathematically rigorous and efficient interactive multiobjective optimization algorithm that takes into account the designer's preferences during the design process. In this research, an interactive multiobjective optimization procedure (IMOOP) that uses an aspiration-level approach to generate Pareto points is developed. This method provides the designer or the decision maker (DM) with a formal means for efficient design exploration around a given Pareto point. More specifically, the procedure provides the DM with the Pareto sensitivity information and the Pareto surface approximation at a given Pareto design for decision making and tradeoff analysis. The IMOOP has been successfully applied to two test problems. The first problem consists of a set of simple analytical expressions for its objective and constraints. The second problem is the design and sizing of a high-performance and low-cost 10-bar structure that has multiple objectives. The results indicate that the Pareto designs predicted by the Pareto surface approximation are reasonable and the performance of the second-order approximation is superior compared to that of the first-order approximation. Using this procedure a set of new aspirations that reflect the DM's preferences are easily and efficiently generated, and the new Pareto design corresponding to these aspirations is close to the aspirations themselves. This is important in that it builds the confidence of the DM in this interactive procedure for obtaining a satisfactory final Pareto design in a minimal number of iterations.
Computing Recommendations with Collaborative Filtering

Recommender systems generate personalized content for each of its users, by relying on an assumption reflected in the interaction between people: those who have had similar opinions in the past will continue sharing the same tastes in the future. Collaborative filtering, the dominant algorithm underlying recommender systems, uses a model of its users, contained within profiles, in order to guide what interactions should be allowed, and how these interactions translate first into predicted ratings, and then into recommendations. In this chapter, the authors introduce the various approaches that have been adopted when designing collaborative filtering algorithms, and how they differ from one another in the way they make use of the available user information. They then explore how these systems are evaluated, and highlight a number of problems that prevent recommendations from being suitably computed, before looking at the how current trends in recommender system research are projecting towards future developments.
Regularization Parameter Selection for TV Image Denoising Using Spatially Adaptive Local Spectral Response

Currently, automatically estimating regularization parameter is still an open problem. To address this problem, an adaptive regularization parameter selection scheme is exploited for the total variation regularization (TV), by means of the local spectral response, which employs content-aware patches to calculate the spectral response of the TV procedure to locally estimate the regularization parameters in a content-aware way. Experiment results on simulated and real noisy image show the relatively good performance of our proposed selection scheme based TV, in visual improvement and peak signal to noise ratio value.
V&V of MCNP 6.1.1 Beta Against Intermediate and High-Energy Experimental Data

This report presents a set of validation and verification (V&V) MCNP 6.1.1 beta results calculated in parallel, with MPI, obtained using its event generators at intermediate and high-energies compared against various experimental data. It also contains several examples of results using the models at energies below 150 MeV, down to 10 MeV, where data libraries are normally used. This report can be considered as the forth part of a set of MCNP6 Testing Primers, after its first, LA-UR-11-05129, and second, LA-UR-11-05627, and third, LA-UR-26944, publications, but is devoted to V&V with the latest, 1.1 beta version of MCNP6. The MCNP6 test-problems discussed here are presented in the /VALIDATION_CEM/and/VALIDATION_LAQGSM/subdirectories in the MCNP6/Testing/directory. README files that contain short descriptions of every input file, the experiment, the quantity of interest that the experiment measures and its description in the MCNP6 output files, and the publication reference of that experiment are presented for every test problem. Templates for plotting the corresponding results with xmgrace as well as pdf files with figures representing the final results of our V&V efforts are presented. Several technical “bugs” in MCNP 6.1.1 beta were discovered during our current V&V of MCNP6 while running it in parallel with MPI usingmore » its event generators. These “bugs” are to be fixed in the following version of MCNP6. Our results show that MCNP 6.1.1 beta using its CEM03.03, LAQGSM03.03, Bertini, and INCL+ABLA, event generators describes, as a rule, reasonably well different intermediate- and high-energy measured data. This primer isn’t meant to be read from cover to cover. Readers may skip some sections and go directly to any test problem in which they are interested. « less
Web Crawling and Data Mining with Apache Nutch

Perform web crawling and apply data mining in your application Overview Learn to run your application on single as well as multiple machines Customize search in your application as per your requirements Acquaint yourself with storing crawled webpages in a database and use them according to your needs In Detail Apache Nutch helps you to create your own search engine and customize it according to your needs. You can integrate Apache Nutch very easily with your existing application and get the maximum benefit from it. It can be easily integrated with different components like Apache Hadoop, Eclipse, and MySQL. "Web Crawling and Data Mining with Apache Nutch" shows you all the necessary steps to help you in crawling webpages for your application and using them to make your application searching more efficient. You will create your own search engine and will be able to improve your application page rank in searching. "Web Crawling and Data Mining with Apache Nutch" starts with the basics of crawling webpages for your application. You will learn to deploy Apache Solr on server containing data crawled by Apache Nutch and perform Sharding with Apache Nutch using Apache Solr. You will integrate your application with databases such as MySQL, Hbase, and Accumulo, and also with Apache Solr, which is used as a searcher. With this book, you will gain the necessary skills to create your own search engine. You will also perform link analysis and scoring that are helpful in improving the rank of your application page. What you will learn from this book Carry out web crawling for your application Make your application searching efficient by integrating it with Apache Solr Integrate your application with different databases for data storage purposes Run your application in a cluster environment by integrating it with Apache Hadoop Perform crawling operations with Eclipse, which is used as an IDE instead of the command line Create your own plugin in Apache Nutch Integrate Apache Solr with Apache Nutch, and deploy Apache Solr on Apache Tomcat Apply Sharding on Apache Tomcat for getting good results from Apache Solr while searching Approach This book is a user-friendly guide that covers all the necessary steps and examples related to web crawling and data mining using Apache Nutch. Who this book is written for "Web Crawling and Data Mining with Apache Nutch" is aimed at data analysts, application developers, web mining engineers, and data scientists. It is a good start for those who want to learn how web crawling and data mining is applied in the current business world. It would be an added benefit for those who have some knowledge of web crawling and data mining.
Advances in database systems : implementations and applications

Advanced information technology is pervasive in any kind of human activity - science, business, finance, management and others - and this is particularly true for database systems. Both database theory and database applications constitute a very important part of the state of the art of computer science. Meanwhile there is some discrepancy between different aspects of database activity. Theoreticians are sometimes not much aware of the real needs of business and industry; software specialists not always have the time or the apportunity to get acquainted with the most recent theoretical ideas and trends, as well as with advanced prototypes arising from these ideas; potential users often do not have the possibility of evaluating the theoretical foundations and the potential practical impact of different commercial products. So the main goal of the course was to put together people involved in different aspects of database activity and to promote active exchange of ideas among them.
Application and design of signal generator based on DDS chip

According to the construction principle and functional characteristics of AD9854 which is designed using advanced direct digital synthesis (DDS) technology,a programmable signal generator in which the chip AD9854 is controlled by AVR singlechip of ATmega 128 is designed. By using the hardware interface circuit and the keyboard control circuit,frequency and phase of the outcoming signal and working model of the signal generator can be controlled conveniently,and the outcoming signal has high stability and high resolution.
An Introduction To Algebraic Topology

Thank you for downloading an introduction to algebraic topology. Maybe you have knowledge that, people have search hundreds times for their chosen books like this an introduction to algebraic topology, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some infectious virus inside their computer. an introduction to algebraic topology is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the an introduction to algebraic topology is universally compatible with any devices to read.
Metode C45 Untuk Mengklarifikasi Pelanggan Perusahaan Telekomunikasi Seluler

Penelitian ini dilakukan untuk mengklasifikasikan pelanggan perusahaan telekomunikasi seluler guna menemukan decission tree dengan keputusan masih berlangganan atau berhenti berlangganan. Klasikasi menggunakan algoritma C45 yang akan memproses 54.979 record menggunakan Rapidminer. Data dari perusahaan telekomunikasi yang berupa MS Excel dilakukan pembersihan dari record yang tak lengkap, data ganda, dan data yang salah. Variabel input yang akan diproses untuk klasifikasi adalah Umur Pelanggan, Lama Berlangganan, Penggunaan Data, Pemakaian telepon ke Internasional, Asal kota (besar/kecil). Sedangkan variabel target adalah Berhenti Berlangganan atau Masih Berlangganan.
Vision based dynamic hand gesture recognition

The Hidden Markov Model(HMM) was used and the rectify method was also introduced to correct the training of HMM,and a better result was gotten.Finally,the results of dynamic hand gesture recognition were introduced to the “Internet based remote Robot control” project,which realized the objective of controlling robot and optimized the Human Computer Interactive interface.
Design and Implementation of Mixed Light Effect Based on the Audio Signal Spectrum Analysis

Spectrum analysis can quickly extract signal features,Because Fast Fourier Transform( FFT) possesses advantages in computing efficiency,and can greatly reduce the amount of computation comparing to Discrete Fourier Transform( DFT),so FFT is chosen in the application for audio signal frequency spectrum analysis. The thesis is based on FFT,aiming at audio signal acquisition,do optimization of the reverse position and butterfly algorithm,and then utilize the optimized algorithm to do frequency spectrum analysis about the audio signal in different formats. In the concrete realization of the system,through the micro controller to read a variety of digital music files in Secure Digital Memory( SD) card or U disk and other physical media by using the Serial Peripheral interface( SPI) protocol,then use the audio decoder VS1003 to covert digital signal to analog signal for playing. When playing music,use the A / D converter to do analog signal acquisition,then use the optimized FFT algorithm to analyze and extract the features,and then through the micro controller and Pulse-width Modulation( PWM) technology to produce different duty ratios of the pulse signal,and then drive Light-emitting Diode( LED) in a variety of color to realize dynamic mixed light.
MLPSO: Multi-Leader particle swarm optimization for multi-objective optimization problems

The particle swarm optimization (PSO) algorithm, which uses the best experience of an individual and its neighborhood to find the optimum solution, has proven useful in solving various optimization problems, including multiobjective optimization (MOO) problems. In MOO problems, existing multi-objective PSO algorithms use one or two leaders to guide the movement of every particle in a search space. This study introduces the concept of multiple leaders to guide the particles in solving MOO problems. In the proposed Multi-Leader PSO (MLPSO) algorithm, the movement of a particle is determined by all leaders that dominate that particle. This concept allows for more information sharing between particles. The performance of the MLPSO is assessed by several benchmark test problems, with their convergence and diversity values are computed. Solutions with good convergence and diversity prove the superiority of the proposed algorithm over MOPSOrand algorithm.
Using Event Dependency Cue Inference to Recognize Event Relation

According to the corresponding discourse structure and semantic features of events which are treated as the basic semantic unit,by analyzing the semantic dependency relation between events and the rules of event inference,the authors propose an event relation recognization method based on event dependency cue to detect latent semantic relation between events: whether events hold logical relation or not.Compared with the traditional method based on semantic similarity,the proposed method achieves 5% improvement.
Improvements of computational methods for cloud cover based on the total sky imager

The total sky imager(TSI-440) is designed to automatically monitor cloud conditions at daytime with higher spatial resolutions and is able to provide more accurate cloud cover data.The paper introduced the fundamental mechanism and data format of the TSI in detail and then analyzed the imaging characteristics under different weather conditions and the cloud cover computational errors based on the routine surface observation data from TSI-440 at Wuxi from May to October 2008 by using statistical method.The results show that the imaging characteristic is closely related with the visibility and the red blue ratio increases as the visibility reduces.After analysis of the images,it is also found that the TSI-440 makes certain errors in computing cloud cover when processing cloudy images under overcast or cloudy conditions.In view of this situation,the paper sets new thresholds(sunny points at 0.62; cloudy points at 0.66) to simulate the sky images and count the cloud points.The recalculated results are much more reliable than the raw results from the TSI.Setting new thresholds could reduce the cloud cover errors effectively,especially on cloudy days.
The Brain from Inside Out

The Brain from Inside Out takes a critical look at contemporary brain research and reminds us that theoretical framework does matter. Current technology-driven neuroscience is still largely fueled by an empiricist philosophy assuming that the brain’s goal is to perceive, represent the world, and learn the truth. An inevitable consequence of this framework is the assumption of a decision-making homunculus wedged between our perception and actions. In contrast, The Brain from Inside Out advocates that the brain’s fundamental function is to induce actions and predict the consequences of those actions to support the survival and prosperity of the brain’s host. Brains constantly test their hypotheses by producing actions rather than searching for the veridical objective world. Only actions can provide a second opinion about the relevance of the sensory inputs and provide meaning for and interpretation of those inputs. In this inside-out framework, it is not sensations that teach the brain and build up its circuits. Instead, the brain comes with a preconfigured and self-organized dynamics that constrains how it acts and views the world. Both its anatomical and physiological organizations are characterized by an enormous diversity which spans several orders of magnitude. The two ends of this continuous landscape give rise to apparently distinct qualitative features. A small core of strongly interconnected, highly active neurons provides fast and “good-enough” answers in needy situations by generalizations, whereas detailed and precise solutions rely on the contribution of the more isolated and sluggish majority. In this non-egalitarian organization, preexisting nonsense brain patterns become meaningful through action-based experience. The inside-out framework offers an alternative strategy to investigate how brain operations give rise to our cognitive faculties, as opposed to the outside-in approach that explores how our preconceived ideas map onto brain structures.
Brain structure can mediate or moderate the relationship of behavior to brain function and transcriptome. A preliminary study

Abnormalities in motor-control behavior, which have been associated with concussion and head acceleration events (HAE), can be quantified using virtual reality (VR) technologies. Motorcontrol behavior has been consistently mapped to the brain’s somatomotor network (SM) using both structural (sMRI) and functional MRI (fMRI). However, no studies have integrated HAE, motor-control behavior, sMRI and fMRI measures. Here, brain networks important for motorcontrol were hypothesized to show changes in tractography-based diffusion weighted imaging [difference in fractional anisotropy (FA)] and resting-state fMRI (rs-fMRI) measures in collegiate American football players across the season, and that these measures would relate to VR-based motor-control. We further tested if nine inflammation-related miRNAs were associated with behavior-structure-function variables. Using permutation-based mediation/moderation methods, we found that across-season FA from the SM structural connectome (SM-FA) mediated the relationship between across-season VR-based Sensory-motor Reactivity (SR) and rs-fMRI SM fingerprint similarity (pSobel perm = 0.007 and Teff = 47%). The interaction between SR and SM-FA also predicted (pF perm = 0.036, pβ3 perm = 0.058) across-season levels of miRNA-30d through permutation-based moderation analysis. These results suggest (1) that motor-control is in a feedback relationship with brain structure and function, (2) behavior-structure-function can be connected to HAE, and (3) behavior-structure might predict molecular biology measures.
Development of a Matlab/Simulink Based Power System Simulation Toolbox

The principle of developing power system transient simulation software is presented in detail,and on this basis a Matlab/Simulink based the power system simulation toolbox(PSST) is developed.At present,PSST can be used in the analysis and research on power flow calculation,small signal stability analysis,time-domain simulation,et al.PSST is convenient to use and possesses such advantages as good extensibility and convenient to use,and it remedies the defect of conventional large-scale commercial software,that it is difficult to add new components to them,therefore PSST can add user-defined new modules seamlessly in the form of Simulink module.Besides,according to the requirement of actual simulation accuracy PSST can also choose appropriate Simulink solver flexibly for the simulation while the simulation model needs not to be modified.To verify the effectiveness and accuracy of simulation results by PSST,taking New England system under a certain fault condition for example,the time-domain simulation results by PSST are analyzed and compared with time-domain simulation results of the same example by power system toolbox(PST). Finally,taking the design of a wide area supplementary damping controller(WSDC) for SVC as example,the basic principle and method of using PSST for the design of a controller are expounded,and it can be seen from this example that PSST is very suitable for the research on power system control.
Cloud Computing: A Hands-On Approach

About the Book Recent industry surveys expect the cloud computing services market to be in excess of $20 billion and cloud computing jobs to be in excess of 10 million worldwide in 2014 alone. In addition, since a majority of existing information technology (IT) jobs is focused on maintaining legacy in-house systems, the demand for these kinds of jobs is likely to drop rapidly if cloud computing continues to take hold of the industry. However, there are very few educational options available in the area of cloud computing beyond vendor-specific training by cloud providers themselves. Cloud computing courses have not found their way (yet) into mainstream college curricula. This book is written as a textbook on cloud computing for educational programs at colleges. It can also be used by cloud service providers who may be interested in offering a broader perspective of cloud computing to accompany their own customer and employee training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. We have tried to write a comprehensive book that transfers knowledge through an immersive "hands-on approach", where the reader is provided the necessary guidance and knowledge to develop working code for real-world cloud applications. Additional support is available at the book's website: www.cloudcomputingbook. info Organization The book is organized into three main parts. Part I covers technologies that form the foundations of cloud computing. These include topics such as virtualization, load balancing, scalability & elasticity, deployment, and replication. Part II introduces the reader to the design & programming aspects of cloud computing. Case studies on design and implementation of several cloud applications in the areas such as image processing, live streaming and social networks analytics are provided. Part III introduces the reader to specialized aspects of cloud computing including cloud application benchmarking, cloud security, multimedia applications and big data analytics. Case studies in areas such as IT, healthcare, transportation, networking and education are provided.