The tallness of a building is relative and can not be defined in absolute terms either in relation to height or the number of stories. But, from a structural engineer's point of view the tall building or multi-storeyed building can be defined as one that, by virtue of its height, is affected by lateral forces due to wind or earthquake or both to an extent that they play an important role in the structural design. Tall structures have fascinated mankind from the beginning of civilisation.
Thiết bị đo lưu lượng đa điểm MT Series Multi-Point của FCI là những ý tưởng cho hầu hết các yêu cầu trong các ứng dụng công nghệp liên quan đến khí và khí gas cũng như hệ thống kiểm soát khí phát thải liên tục (CEMS)- mà bản chất ở đây chính là vấn đề kiểm soát lưu lượng khí thoát ra qua ống khói (stack).
Multi-Domain Security Management is a centralized management solution for large-scale, distributed
environments with many different network Domains. This best-of-breed solution is ideal for enterprises with
many subsidiaries, branches, partners and networks. Multi-Domain Security Management is also an ideal
solution for managed service providers, cloud computing providers, and data centers.
Tìm hiểu về công nghệ điều khiển từ xa thông qua sóng R, tạo một giao diện điều khiển bằng Visual asic, thiết kế mạch giao tiếp máy tính và phát sóng R, thiết kế mạch điều khiển thiết b và thu sóng R là những nội dung chính trong đồ án tốt nghiệp "Xây dựng mô hình thực nghiệm wireless multi hop". Mời các bạn cùng tham khảo để nắm bắt nội dung chi tiết.
Modeling multi-level complex systems is the object of this book.
Complex systems are assemblies of several subsystems and are characterized
by emergent behavior resulting by nonlinear interactions among subsystems for
multiple levels of organization.
The complexity of numerous systems is rooted in the existence of many levels
of self-organization corresponding to different time and space scales.
There is a need to provide general frameworks able to combine several scales
and reality levels of the complex systems in one coherent and transdisciplinary
Làm việc với Danh sách Multi-Chọn Data-Bound Boxes Sử dụng Web với hình thức như thế nào-to 8.1, ví dụ này sẽ cho bạn thấy làm thế nào để tận dụng lợi thế của các hộp danh sách đa lựa chọn, chỉ với một mẫu Web thay vì một mẫu Windows
Table of contentsAcknowledgmentsContentsContributorsForewordsIntroductionNotes on Editors PART ONE - Theoretical Background and Framework to Assess SDIsChapter 1 Spatial Data Infrastructure for a Spatially Enabled Government and Society.Chapter 2 The multi-faceted nature of SDIs and their assessment - dealing with dilemmas.Chapter 3 SDI for public governance - implications for evaluation research.Chapter 4 SDI evaluation and budgeting processes: linkages and lessons.Cha
Báo cáo Project "Thiết kế ứng dụng C# Multi-Language bằng Culture Info và Resource Manager" trình bày về giải pháp fix cứng giao diện ngôn ngữ trong code, cách xây dựng ứng dụng C# Multi-Language bằng Culture Info và Resource Manager. Mời các bạn cùng tham khảo, đây là tài liệu tham khảo hữu ích cho các bạn chuyên ngành Công nghệ thông tin.
In this demo, we present SciSumm, an interactive multi-document summarization system for scientiﬁc articles. The document collection to be summarized is a list of papers cited together within the same source article, otherwise known as a co-citation. At the heart of the approach is a topic based clustering of fragments extracted from each article based on queries generated from the context surrounding the co-cited list of papers.
The local multi bottom-up tree transducer is introduced and related to the (non-contiguous) synchronous tree sequence substitution grammar. It is then shown how to obtain a weighted local multi bottom-up tree transducer from a bilingual and biparsed corpus. Finally, the problem of non-preservation of regularity is addressed. Three properties that ensure preservation are introduced, and it is discussed how to adjust the rule extraction process such that they are automatically fulﬁlled.
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difﬁcult to collect training data. The Multi-Class Composite N-gram maintains an accurate word prediction capability and reliability for sparse data with a compact model size based on multiple word clusters, called MultiClasses. In the Multi-Class, the statistical connectivity at each position of the N-grams is regarded as word attributes, and one word cluster each is created to represent the positional attributes. ...
This paper presents a multi-neuro tagger that uses variable lengths of contexts and weighted inputs (with information gains) for part of speech tagging. Computer experiments show that it has a correct rate of over 94% for tagging ambiguous words when a small Thai corpus with 22,311 ambiguous words is used for training. This result is better than any of the results obtained using the single-neuro taggers with fixed but different lengths of contexts, which indicates that the multi-neuro tagger can dynamically find a suitable length of contexts in tagging. ...
Buying defense weapon systems under multi-year contracts rather than a series of single-year contracts can save costs because contractors can buy materials in more economic quantities, schedule workers and facilities more efficiently, and reduce the burden of preparing multiple proposals. The U.S. Air Force is in the process of...
We describe an annotation tool developed to assist in the creation of multimodal actioncommunication corpora from on-line massively multi-player games, or MMGs. MMGs typically involve groups of players (5-30) who control their avatars1, perform various activities (questing, competing, fighting, etc.) and communicate via chat or speech using assumed screen names. We collected a corpus of 48 group quests in Second Life that jointly involved 206 players who generated over 30,000 messages in quasisynchronous chat during approximately 140 hours of recorded action. ...
We propose a new method for query-oriented extractive multi-document summarization. To enrich the information need representation of a given query, we build a co-occurrence graph to obtain words that augment the original query terms. We then formulate the summarization problem as a Maximum Coverage Problem with Knapsack Constraints based on word pairs rather than single words.
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few seed instances of the target relation type we want to extract but we also have a large amount of labeled instances of other relation types. Observing that different relation types can share certain common structures, we propose to use a multi-task learning method coupled with human guidance to address this weakly-supervised relation extraction problem. ...
Different summarization requirements could make the writing of a good summary more difﬁcult, or easier. Summary length and the characteristics of the input are such constraints inﬂuencing the quality of a potential summary. In this paper we report the results of a quantitative analysis on data from large-scale evaluations of multi-document summarization, empirically conﬁrming this hypothesis.