Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Particle Swarm Optimization Based Noncoherent Detector for Ultra-Wideband Radio in Intensive Multipath Environments
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indicating semantic distance; and transforms the task into a multi-criteria optimization based on minimization of taxonomy structures and modeling of term abstractness. It combines the strengths of both lexico-syntactic patterns and clustering through incorporating heterogeneous features. The flexible design of the framework allows a further study on which features are the best for the task under various conditions. ...
This paper describes a novel instancebased sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to existing sentence boundary determination approaches, our work offers three signiﬁcant contributions. First, our approach provides a general domain independent framework that effectively addresses sentence boundary determination by balancing a comprehensive set of sentence complexity and quality related constraints.
Tạo, gỡ rối và triển khai các thường trình cho DB2 và Oracle Thomas Sharp, Kiến trúc sư công cụ phần mềm, IBM Tóm tắt: Bài viết này mô tả cách bạn có thể sử dụng IBM® Data Studio 2.2 and Optim™ Development Studio 2.2 để phát triển các thường trình sử dụng Oracle PL/SQL. Nó chỉ cho bạn cách tạo, soạn thảo, triển khai và gỡ rối các gói, các thủ tục và các hàm PL/SQL cho các cơ sở dữ liệu sau đây: Phiên bản 9.7 của DB2® for Linux®, UNIX® và Windows®, Oracle 10g và Oracle 11g....
This book introduces a variety of problem statements in classical optimal control, in optimal estimation and filtering, and in optimal control problems with non-scalar-valued performance criteria. Many example problems are solved completely in the body of the text. All chapter-end exercises are sketched in the appendix. The theoretical part of the book is based on the calculus of variations, so the exposition is very transparent and requires little mathematical rigor.
Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for optima by updating generations.
MANAGING SIMULATION BASED TRAINING A FRAMEWORK FOR OPTIMIZING LEARNING, COST, AND TIME Second, one can estimate the model on a sample that includes private
school students. If the sample selection bias is in the hypothesized direction, either strategy
should produce a smaller (more negative) estimate of the effect of interdistrict competition.
We present a novel approach to grammatical error correction based on Alternating Structure Optimization. As part of our work, we introduce the NUS Corpus of Learner English (NUCLE), a fully annotated one million words corpus of learner English available for research purposes. We conduct an extensive evaluation for article and preposition errors using various feature sets. Our experiments show that our approach outperforms two baselines trained on non-learner text and learner text, respectively. ...
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formulated in terms of communicative intentions, there has been little work on automatically optimizing an agent's choices when there are multiple ways to realize a communicative intention. Our method is based on a combination of learning algorithms and empirical evaluation techniques.
Objective of study determining diet formula for 4-breeds exotic hybrid with optimal protein level bases on balancing some essential amino acids includes: lysine, methionine and threonine in order to improve grow capacity, feed utilization efficiency and to reduce urinal and faecal nitrogen and phosphorus excretion; formulating some formulas base on the local ingredients with optimal protein and amino acids level to ensure production efficiency of exotic 4-breeds hybrid and to reduce environment pollution in pig production.
In the method of creating digital terrain model (DTM) by using digital photogrammetry, the picket sampling interval (PSI) plays an important role since it strongly influences on the production effectiveness and on the accuracy of created DTMs. The optimal value of PSI must be balanced between requirements of effectiveness and of accuracy. This research is focused on the influence of PSI on root mean square error (RMSE) of created DTM and on the number of error pickets (caused by limitation of image matching technique) that must be checked and corrected manually.
In this book I have tried to cover all the basic topics of Software Engineering like Analysis,
Project Management, Quality Testing and Designing.
Any further improvement in the contents of the book by making corrections, omission and
inclusion is keen to be achieved based on suggestions from the reader for which the author shall be
I acknowledge special thanks to Mr. Rajeev Biyani, Chiarman & Dr. Sanjay Biyani, Director
The Minimum Description Length (MDL) principle is a method for model selection that trades oﬀ between the explanation of the data by the model and the complexity of the model itself. Inspired by the MDL principle, we develop an objective function for generative models that captures the description of the data by the model (log-likelihood) and the description of the model (model size). We also develop a efﬁcient general search algorithm based on the MAP-EM framework to optimize this function. ...
We propose a hybrid approach to coordinate structure analysis that combines a simple grammar to ensure consistent global structure of coordinations in a sentence, and features based on sequence alignment to capture local symmetry of conjuncts. The weight of the alignmentbased features, which in turn determines the score of coordinate structures, is optimized by perceptron training on a given corpus. A bottom-up chart parsing algorithm efﬁciently ﬁnds the best scoring structure, taking both nested or nonoverlapping ﬂat coordinations into account. ...
Inspired by previous preprocessing approaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. Given a source sentence and its parse tree, our method generates, by tree operations, an n-best list of reordered inputs, which are then fed to standard phrase-based decoder to produce the optimal translation. Experiments show that, for the NIST MT-05 task of Chinese-toEnglish translation, the proposal leads to BLEU improvement of 1.56%. ...
There exist several methods of calculating a similarity curve, or a sequence of similarity values, representing the lexical cohesion of successive text constituents, e.g., paragraphs. Methods for deciding the locations of fragment boundaries are, however, scarce. We propose a fragmentation method based on dynamic programming. The method is theoretically sound and guaranteed to provide an optimal splitting on the basis of a similarity curve, a preferred fragment length, and a cost function defined. ...
Medical imaging has been transformed over the past 30 years by the advent
of computerized tomography (CT), magnetic resonance imaging (MRI), and
various advances in x-ray and ultrasonic techniques. An enabling force behind
this progress has been the (so far) exponentially increasing power of
computers, which has made it practical to explore fundamentally new approaches.