35,253 research outputs found
Visitantes recibidos por el Ing. Pablo H. Hope
No full textIng. Pablo H. Hope; W.R. Woolrich; Dr. John J. McKetta; Ing. Carlos Duhn
Private James Dem(m)ing leave of absence
No full textDocument written by Colonel Hiram Du Puy granting Private James Dem(m)ing of the 8th Ohio Volunteer Infantry a leave of absence from Camp Dennison, June 1861
Control and Filtering for Discrete Linear Repetitive Processes with H infty and ell 2--ell infty Performance
No full textRepetitive processes are characterized by a series of sweeps, termed passes, through a set of dynamics defined over a finite duration known as the pass length. On each pass an output, termed the pass profile, is produced which acts as a forcing function on, and hence contributes to, the dynamics of the next pass profile. This can lead to oscillations which increase in amplitude in the pass to pass direction and cannot be controlled by standard control laws. Here we give new results on the design of physically based control laws for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control. The main contribution is to show how control law design can be undertaken within the framework of a general robust filtering problem with guaranteed levels of performance. In particular, we develop algorithms for the design of an H? and dynamic output feedback controller and filter which guarantees that the resulting controlled (filtering error) process, respectively, is stable along the pass and has prescribed disturbance attenuation performance as measured by and – norms
-ing words in RBMT: multilingual evaluation and exploration of pre- and post-processing solutions
No full textThis PhD dissertation falls within the domain of machine translation and it specifically focuses on the machine translation of IT-domain -ing words into four target languages: French, German, Japanese and Spanish. Claimed to be problematic due to their linguistic flexibility, i.e. -ing words can function as nouns, adjectives and verbs, this
dissertation investigates how problematic -ing words are and explores possible solutions for improvement of their MT output. A corpus-based approach for a better representation of the domain-specific structures where -ing words occur is used. After selecting a significant sample, the -ing
words are classified following a functional categorisation presented by Izquierdo (2006). The sample is machine-translated using a customised RBMT system.
A feature-based human evaluation is then performed in order to obtain information about the specific feature under study. The results showed that 73% of the -ing words
were correctly translated in terms of grammaticality and accuracy for German, Japanese and Spanish. The percentage for French was lower at 52%. These data, combined with a thorough analysis of the MT output, allows for the identification of cross-language and language-specific issues and their characteristics, setting the path
for improvement. The approaches for improvements examined cover both the pre- and post-processing stages of automated translation. For pre-processing, controlled language (CL) and automatic source re-writing (ASR) are explored and evaluated. For post-processing, global search and replace (Global S&R) and statistical post-editing (SPE) methods are tested. CL is reported to reduce -ing word ambiguity but to not achieve substantial machine translation improvement. Regex-based implementations of ASR and Global S&R efforts show considerable translation improvements ranging from 60% to 95% and minimal degradation, ranging from 0% to 18%. The results yielded for SPE show little improvement, or even degradation at both sentence and -ing word level
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
No full textIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
Analysis of DVB-H network coverage with the application of transmit diversity
No full textThis paper investigates the effects of the Cyclic Delay Diversity (CDD) transmit diversity scheme on DVB-H networks. Transmit diversity improves reception and Quality of Service (QoS) in areas of poor coverage such as sparsely populated or obscured locations. The technique not only povides robust reception in mobile environments thus improving QoS, but it also reduces network costs in terms of the transmit power, number of
infrastructure elements, antenna height and the frequency reuse factor over indoor and outdoor environments. In this paper, the benefit and effectiveness of CDD transmit diversity is tackled
through simulation results for comparison in several scenarios of coverage in DVB-H networks. The channel model used in the simulations is based on COST207 and a basic radio planning
technique is used to illustrate the main principles developed in this paper. The work reported in this paper was supported by
the European Commission IST project—PLUTO (Physical Layer DVB Transmission Optimization)
Creating an automation tool for customer journey experts at ING
No full textING wants to offer their customers the best experience possible. To achieve this goal, ING’s Customer Journey Experts (CJEs) constantly map and analyze the way customers use ING services in a Customer Journey Map. These maps however, are hard to share and collaborate on. ING needs an online tool in which they can, together with multiple people, build and maintain Customer Journey Maps. During our research phase we visited many different squads and found out that no single solution fits all needs. That is why we made our tool as customizable as possible with features such as: colors, text decorations, highlighting and templates. We worked in bi-weekly sprints for which we selected work from a top 50 issues board that we ordered by importance and difficulty. The final product, Mapp , allows CJEs to define, share and collaborate on customer journeys. CJEs can illustrate their customer’s steps using text, images, emotions, checkboxes andtimelines. TosharetheirworktheycanexportasPDFandprintinanysize. Andfinallytocollaborate they can simply share their journey’s URL. The product was user validated during a large midterm and endterm test, as well as during short weekly tests. All of the chapter leads we talked to were super excited and are soon marketing the product in their teams!Customer Journey Tool Map
Anglicisms Ending in -ing in Russian and Slovak Languages
No full textThis article focuses on the functioning of Anglicisms ending in -ing in the Russian and Slovak languages, pseudo-Anglicisms, and the reasons for the active borrowing of such words at present, as well as the controversy between linguists, historians, and politicians about the role and place of borrowing in a historical context. This study aims to trace the dynamics of Anglicisms in the contemporary Russian and Slovak languages via the descriptive and comparative methods. The quantitative estimation method is also used in this work.
The study examines the main points of view on the issues of borrowing in Russian and Slovak linguistics: positive, negative and neutral. The focus is on the formal marker -ing and its word-building potential, which still causes controversy among linguists. One of the aims of the study is to identify the most frequent lexical groups of words with the suffix -ing. As a result of the study, the author makes a conclusion that the Russian and the Slovak languages codify words with this formal marker in different ways. Some words, recorded in the Slovak dictionaries, are found in Russian on the periphery of the lexicon. The author believes that the invasion of Anglicisms ending in -ing is just a passing trend. Most of these words are easily replaced by the native language analogues. On the other hand, some anglicisms describe this or that notion/process more accurately, significantly saving space. Certain research interest is aroused by pseudo-Anglicisms illustrating authored poetic works with marked expressive evaluation. It can be assumed that the number of Anglicisms with the suffix -ing might increase every year, since they reflect the intensification of socio-economic processes in society
With-Ing: A Psychotherapy of Love
No full text In this article the author sets out, in the first place, to sketch in the fundamentals of an anthropological model centered in God's creative and redeeming love. Secondly, the article seeks to develop a relational model of the psychotherapeutic process that flows out of and is congenial with this emphasis on love of God, neighbor, and self. The author suggests that the fundamental biblical affirmation of God's loving presence with creation—life-giving, forgiving, suffering with, and renewing—evokes and supports a “relational” model of psychotherapy as fundamentally a relational process of “with-ing.” </jats:p
Data-Driven Extract Method Recommendations: A Study at ING
No full textThe sound identification of refactoring opportunities is still an open problem in software engineering. Recent studies have shown the effectiveness of machine learning models in recommending methods that should undergo different refactoring operations. In this work, we experiment with such approaches to identify methods that should undergo an Extract Method refactoring, in the context of ING, a large financial organization. More specifically, we (i) compare the code metrics distributions, which are used as features by the models, between open-source and ING systems, (ii) measure the accuracy of different machine learning models in recommending Extract Method refactorings, (iii) compare the recommendations given by the models with the opinions of ING experts. Our results show that the feature distributions of ING systems and open-source systems are somewhat different, that machine learning models can recommend Extract Method refactorings with high accuracy, and that experts tend to agree with most of the recommendations of the model.Software Engineerin
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