ALPGEN, a generator for hard multiparton processes in hadronic collisions

This paper presents a new event generator, ALPGEN, dedicated to the study of multiparton hard processes in hadronic collisions. The code performs, at the leading order in QCD and EW interactions, the calculation of the exact matrix elements for a large set of parton-level processes of interest in the study of the Tevatron and LHC data. The current version of the code describes the following final states: (W -> ffbar') QQbar+ N jets (Q being a heavy quark, and f=l,q), with N f fbar)+QQbar+Njets (f=l,nu), with N ffbar') + charm + N jets (f=l,q), N f fbar') + N jets (f=l,q) and (Z/gamma* -> f fbar)+ N jets (f=l,nu), with N<=6; nW+mZ+lH+N jets, with n+m+l+N<=8 and N<=3 including all 2-fermion decay modes of W and Z bosons, with spin correlations; Q Qbar+N jets (N b f fbar' decays and relative spin correlations included if Q=t; Q Qbar Q' Qbar'+N jets, with Q and Q' heavy quarks (possibly equal) and N b f fbar' decays and relative spin correlations included if Q=t; N jets, with N<=6. Parton-level events are generated, providing full information on their colour and flavour structure, enabling the evolution of the partons into fully hadronised final states.Comment: 1+38 pages, uses JHEP.cls. Documents code version 1.2: extended list of processes, updated documentation and bibliograph

Arbitration. A Promising Avenue for Resolving Family Law Cases?

This paper will examine the path of arbitration in the area of family law, when it began, and how it has grown since 1990. It will discuss the division between the states that currently utilize arbitration for family law issues as well as the scope of judicial review. The paper will then discuss the history leading to, and the enactment of, the Uniform Family Law Arbitration Act. Next, it addresses Nevada’s legislative history, when arbitration of family law matters was considered, and consequently what a Nevada Family Law Arbitration Act would potentially look like. Finally, it will include a view from the family court judges in the Eighth Judicial District Court and an analysis of the likelihood that arbitration will become a reality in Nevada

AKSES INFORMASI PENGIRIMAN BARANG DI KANTOR POS JEMUR SARI UNTUK AREA SURABAYA TIMUR MENGGUNAKAN METODE ANT COLONY OPTIMIZATION BERBASIS WAP

Barang dan jasa sudah menjadi salah satu kebutuhan manusia yang sudah tidak dapat dipisahkan dari kehidupan sehari-hari. Barang dan jasa untuk bisa sampai ke tangan konsumen tidak bisa lepas dari yang namanya proses distribusi. Dalam suatu proses distribusi pada umumnya kita selalu memilih jalur yang paling pendek untuk menghemat waktu dan biaya. Pencarian jalur terpendek secara umum dapat dibagi menjadi dua metode yaitu metode konvensional dan metode heuristik. Metode Konvensional kurang cocok digunakan untuk mencari jalur terpendek dengan data yang besar atau banyak. Karena hasil yang diperoleh dengan metode Konvensional cenderung tidak akurat apabila data yang digunakan banyak. Salah satu metode heuristik yaitu Algoritma Koloni Semut, dimana dengan metode tersebut pencarian jalur terpendek menjadi lebih singkat walaupun menggunakan data yang banyak sekalipun. Dengan memanfaatkan HP yang berfasilitas WAP untuk pengaksesannya, sistem ini mampu memberikan informasi yang cukup berguna bagi bapak petugas kantor pos untuk mengantarkan barangnya. Sehingga dalam mengantarkan barang ke tujuan pelanggannya, bapak petugas kantor pos bisa menghemat waktu dan biaya

Melodia : A Comprehensive Course in Sight-Singing (Solfeggio)

Melodia is a 1904 book designed to teach sight-singing. The educational plan is by Samuel W. Cole; the exercises were written and selected by Leo R. Lewis. Melodia is presented here as a complete edition and has also been divided into its four separate books.https://scholarworks.sjsu.edu/oer/1000/thumbnail.jp

An Integrated Approach to Performance Monitoring and Fault Diagnosis of Nuclear Power Systems

In this dissertation an integrated framework of process performance monitoring and fault diagnosis was developed for nuclear power systems using robust data driven model based methods, which comprises thermal hydraulic simulation, data driven modeling, identification of model uncertainty, and robust residual generator design for fault detection and isolation. In the applications to nuclear power systems, on the one hand, historical data are often not able to characterize the relationships among process variables because operating setpoints may change and thermal fluid components such as steam generators and heat exchangers may experience degradation. On the other hand, first-principle models always have uncertainty and are often too complicated in terms of model structure to design residual generators for fault diagnosis. Therefore, a realistic fault diagnosis method needs to combine the strength of first principle models in modeling a wide range of anticipated operation conditions and the strength of data driven modeling in feature extraction. In the developed robust data driven model-based approach, the changes in operation conditions are simulated using the first principle models and the model uncertainty is extracted from plant operation data such that the fault effects on process variables can be decoupled from model uncertainty and normal operation changes. It was found that the developed robust fault diagnosis method was able to eliminate false alarms due to model uncertainty and deal with changes in operating conditions throughout the lifetime of nuclear power systems. Multiple methods of robust data driven model based fault diagnosis were developed in this dissertation. A complete procedure based on causal graph theory and data reconciliation method was developed to investigate the causal relationships and the quantitative sensitivities among variables so that sensor placement could be optimized for fault diagnosis in the design phase. Reconstruction based Principal Component Analysis (PCA) approach was applied to deal with both simple faults and complex faults for steady state diagnosis in the context of operation scheduling and maintenance management. A robust PCA model-based method was developed to distinguish the differences between fault effects and model uncertainties. In order to improve the sensitivity of fault detection, a hybrid PCA model based approach was developed to incorporate system knowledge into data driven modeling. Subspace identification was proposed to extract state space models from thermal hydraulic simulations and a robust dynamic residual generator design algorithm was developed for fault diagnosis for the purpose of fault tolerant control and extension to reactor startup and load following operation conditions. The developed robust dynamic residual generator design algorithm is unique in that explicit identification of model uncertainty is not necessary. Finally, it was demonstrated that the developed new methods for the IRIS Helical Coil Steam Generator (HCSG) system. A simulation model was first developed for this system. It was revealed through steady state simulation that the primary coolant temperature profile could be used to indicate the water inventory inside the HCSG tubes. The performance monitoring and fault diagnosis module was then developed to monitor sensor faults, flow distribution abnormality, and heat performance degradation for both steady state and dynamic operation conditions. This dissertation bridges the gap between the theoretical research on computational intelligence and the engineering design in performance monitoring and fault diagnosis for nuclear power systems. The new algorithms have the potential of being integrated into the Generation III and Generation IV nuclear reactor I&C design after they are tested on current nuclear power plants or Generation IV prototype reactors

Program documentation crew system vidar data reduction (CSVIDR) program

The Crew System Vidar Data Reduction (CSVIDR) program was written to process selected portions of data acquired from long term tests of space shuttle crew equipment. Data are recorded on a seven track computer compatible tape using the Vidar autodata eight processing system. The input tape is in a six bit binary coded decimal format. The 1110 hardware conversion option is used to convert all data from a BCD format to Fieldata since the majority of the data is output without further conversion. Data is retrieved from a character string, calibrated, tabulated, printed, and output on a fixed sample rate tape for use as input to a general purpose plot program

Lunar seismic profiling experiment natural activity study

The Lunar Seismic Experiment Natural Activity Study has provided a unique opportunity to study the high frequency (4-20 Hz) portion to the seismic spectrum on the moon. The data obtained from the LSPE was studied to evaluate the origin and importance of the process that generates thermal moonquakes and the characteristics of the seismic scattering zone at the lunar surface. The detection of thermal moonquakes by the LSPE array made it possible to locate the sources of many events and determine that they are definitely not generated by astronaut activities but are the result of a natural process on the moon. The propagation of seismic waves in the near-surface layers was studied in a qualitative manner. In the absence of an adequate theoretical model for the propagation of seismic waves in the moon, it is not possible to assign a depth for the scattering layer. The LSPE data does define several parameters which must be satisfied by any model developed in the future