ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California / X-Tools is a collection of utilities for validation, translation, editing and report generation designed to enable the Flight Test Instrumentation (FTI) community to quickly adopt the XidML 3.0 meta-data standard. This paper discusses the challenges of developing such software that meets the current and future needs of the FTI community, and meets the increasingly high quality standards expected of modern software. The paper first starts by discussing the needs of the FTI community and the specific functional requirements of software. These include the ability to fit in with legacy systems, the ability to handle many tens of thousands of parameters, support for new networked-based technologies and support for hardware from any vendor. The non-functional requirements of FTI orientated software are also described and it is suggested that the key non-functional requirements include testability, modifiability, extensibility and maintainability. Finally, as a case study, the X-Tools from ACRA CONTROL are presented. The paper discusses their design, and the tactics used to meet the functional and non-functional requirements of the FTI industry. The paper then outlines how the rigorous quality standards were met and describes the specific mechanisms used to verify the quality of the software.

In our everyday lives, we must often weigh the different attributes of items in order to select the item that best fits our current goals, allowing us to make optimal decisions. Construal Level Theory proposes a psychological mechanism for re-weighting attributes, utilizing selective attention as the process by which we implement self-control. It has been hypothesized that switching attention between attributes is facilitated by the suppression of cortical oscillations over posterior brain regions within the alpha (8-12 Hz) frequency range. To test this idea, we re-examined previously collected whole-brain electroencephalography (EEG) data from a dietary choice experiment in which participants made decisions naturally or with a weight loss incentive. Prior analysis found that although hungry subjects primarily relied on taste properties while responding naturally, they increased their behavioral and neural weighting of health when motivated to lose weight. Reanalyzing this data using time-frequency analyses, we compared alpha oscillations related to healthy versus unhealthy foods under natural and self-control conditions. We predicted that when participants exercised self-control we would see suppression of alpha oscillations over occipital sensors starting around 400 ms post-stimulus onset, for trials presenting healthy relative to unhealthy foods; no such suppression should appear during natural responding when ignoring health information. Consistent with our hypothesis, we found a significant decrease in alpha oscillations over occipital sensors between 440 and 800 ms post-stimulus onset for healthy compared to unhealthy items in the self-control condition. No such effect was seen for health information in natural choice, or for taste. Our findings extend previous research by linking alpha band suppression to the neural re-weighting of multiple attributes, suggesting a neuro-cognitive mechanism for self-control that uses selective attention to choose between multiple attributes.

International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada / The Inter-Range Instrumentation Group (IRIG) introduced the Telemetry Attributes Transfer Standard (TMATS) in IRIG 106-93. This long needed standardization was designed to provide a common thread through which test programs could move from one test range to another without significant re-work in the setup environment. TMATS provides the definition of telemetry attributes and specifies the media and data format necessary to permit the ready transfer of the information required to setup telemetry receiving/processing functions at a test range. These attributes are defined as those parameters required by the receiving/processing system to acquire, process and display telemetry data received from a test item or source. As the telemetry vendor community develops more and more board level products designed to be integrated into various platforms such as Personal Computer (PC), VME, and VXI, the necessity of providing a setup environment, which is independent of a specific vendor product, becomes essential. An significant advantage of TMATS lies in its ability to provide a mechanism for setup of "multiple vendor systems" without the necessity of restructuring telemetry attribute information for each unique vendor's product. This paper describes the use of TMATS for the setup of a VXI based telemetry acquisition system containing board level products (including Antenna Control Units, RF Receivers, Combiners, Bit Synchronizers, PCM Decommutators, and PCM Simulators) from multiple vendors.

An image retrieval system needs to be able to communicate with people using a common language, if it is to serve its user's information need. I propose techniques for interactive image search with the help of visual attributes, which are high-level semantic visual properties of objects (like "shiny" or "natural"), and are understandable by both people and machines. My thesis explores attributes as a novel form of user input for search. I show how to use attributes to provide relevance feedback for image search; how to optimally choose what to seek feedback on; how to ensure that the attribute models learned by a system align with the user's perception of these attributes; how to automatically discover the shades of meaning that users employ when applying an attribute term; and how attributes can help learn object category models. I use attributes to provide a channel on which the user of an image retrieval system can communicate her information need precisely and with as little effort as possible. One-shot retrieval is generally insufficient, so interactive retrieval systems seek feedback from the user on the currently retrieved results, and adapt their relevance ranking function accordingly. In traditional interactive search, users mark some images as "relevant" and others as "irrelevant", but this form of feedback is limited. I propose a novel mode of feedback where a user directly describes how high-level properties of retrieved images should be adjusted in order to more closely match her envisioned target images, using relative attribute feedback statements. For example, when conducting a query on a shopping website, the user might state: "I want shoes like these, but more formal." I demonstrate that relative attribute feedback is more powerful than traditional binary feedback. The images believed to be most relevant need not be most informative for reducing the system's uncertainty, so it might be beneficial to seek feedback on something other than the top-ranked images. I propose to guide the user through a coarse-to-fine search using a relative attribute image representation. At each iteration of feedback, the user provides a visual comparison between the attribute in her envisioned target and a "pivot" exemplar, where a pivot separates all database images into two balanced sets. The system actively determines along which of multiple such attributes the user's comparison should next be requested, based on the expected information gain that would result. The proposed attribute search trees allow us to limit the scan for candidate images on which to seek feedback to just one image per attribute, so it is efficient both for the system and the user. No matter what potentially powerful form of feedback the system offers the user, search efficiency will suffer if there is noise on the communication channel between the user and the system. Therefore, I also study ways to capture the user's true perception of the attribute vocabulary used in the search. In existing work, the underlying assumption is that an image has a single "true" label for each attribute that objective viewers could agree upon. However, multiple objective viewers frequently have slightly different internal models of a visual property. I pose user-specific attribute learning as an adaptation problem in which the system leverages any commonalities in perception to learn a generic prediction function. Then, it uses a small number of user-labeled examples to adapt that model into a user-specific prediction function. To further lighten the labeling load, I introduce two ways to extrapolate beyond the labels explicitly provided by a given user. While users differ in how they use the attribute vocabulary, there exist some commonalities and groupings of users around their attribute interpretations. Automatically discovering and exploiting these groupings can help the system learn more robust personalized models. I propose an approach to discover the latent factors behind how users label images with the presence or absence of a given attribute, from a sparse label matrix. I then show how to cluster users in this latent space to expose the underlying "shades of meaning" of the attribute, and subsequently learn personalized models for these user groups. Discovering the shades of meaning also serves to disambiguate attribute terms and expand a core attribute vocabulary with finer-grained attributes. Finally, I show how attributes can help learn object categories faster. I develop an active learning framework where the computer vision learning system actively solicits annotations from a pool of both object category labels and the objects' shared attributes, depending on which will most reduce total uncertainty for multi-class object predictions in the joint object-attribute model. Knowledge of an attribute's presence in an image can immediately influence many object models, since attributes are by definition shared across subsets of the object categories. The resulting object category models can be used when the user initiates a search via keywords such as "Show me images of cats" and then (optionally) refines that search with the attribute-based interactions I propose. My thesis exploits properties of visual attributes that allow search to be both effective and efficient, in terms of both user time and computation time. Further, I show how the search experience for each individual user can be improved, by modeling how she uses attributes to communicate with the retrieval system. I focus on the modes in which an image retrieval system communicates with its users by integrating the computer vision perspective and the information retrieval perspective to image search, so the techniques I propose are a promising step in closing the semantic gap. / text

<p>A complex network graphics may be composed of hundreds and thousands of objects, such as nodes and edges. Each object may hold a large number of attributes that might be difficult to explore in the network visualization. Therefore, many visualization tools and approaches have been developed to gain more information from the network graphics. In this paper, we introduce the concept of the Network Lens<em>, </em>a new widget that assists the users to deal with a complex network. The Network Lens is an interactive tool that combines data visualization to a magic lens. With the help of the Network Lens, users can display hidden information of the elements in the network graphics based on their interest. Moreover, the Network Lens supports a series of interactive functions that give the users flexible options to define their own lenses.</p>

Šiandieninis kaimo žmonių dvasinis pasaulis apsigaubęs dramatizmo šešėliu. Pernelyg sparčiai modernėjantis pasaulis modifikuoja dvasines vertybes ir jų reikšmę. Dvasinis gyvenimas yra būtinas kiekvieno sielai, reiškiantis gerovę, praturtinantis kasdieninį gyvenimą.Tyrimo duomenys rodo, kad bendruomeniniai santykiai tiek Dzūkijoje, tiek Suvalkijoje yra panašūs. Nėra jaučiama esminiai skirtumai tarp šių dviejų Lietuvos regionų. Bendruomeniniai ryšiai abiejuose regionuose yra opi, spręstina problema. Ir vienoje, ir kitoje bendruomenėje yra asmenų, kurie nesijaučia pilnaverčiais bendruomenės nariais, jaučiasi pastarosios atstumti. Vyraujančios žmogiškosios ydos bendruomenės viduje yra abiejuose regionuose tos pačios, tai žmonių pavydas, susvetimėjimas, esminės kultūros stoka. / Modern – day spiritual life of village people seems like in a fog. The world becomes more and more modern overmuch and modifies spiritual worths and their meaning. Material and pragmatic things strike the roots and shades the spiritual life of village folk and the entire meaning of beeing. Even religion modifies its primary functions and it is not a shelter for tired human soul. The changes of modern society, which destroy the limits between cultures and making a new of it, changes human relationship with the world. At this time it is hard to save a basic of folk culture, and without it succession and growing of it is impossible. In the following way, national culture and human interface is failing, as a background of spiritual growing, as a natural spiritual perfection seedbed. The theoretical part consist of lithuanian and foreign scholarly paperwork, which analyze the conditions of spiritual influence. Also it is appealed to periodical “The folk culture” and to the articles, which describes the problems of spiritual life of village people. Qualitative (deep) interview was used for empiric part. Dzukija and Suvalkija countryside’s inhabitants of various age layer were asked for this interview. The purpose of this interrogatory is to reveal lineaments of village people spiritual life in a those countrysides.

The thesis explores and takes a stand with respect to the differences between the religious epistemologies of Alvin Plantinga and Hendrik Hart. For Plantinga, direct rational knowledge of God "in Himself" is possible because it is grounded in the experience of our rational faculties. For Hart, direct rational knowledge of God's nature is impossible because God transcends the created order and, therefore, the limits of rational understanding. Our knowledge of God, as a consequence, can only be faith knowledge that is decidedly indirect and metaphoric in nature. Plantinga believes that such views are Kantian in inspiration and that they turn our knowledge of God into nothing more than rationally incoherent "disguised nonsense." The thesis shows that Plantinga's own philosophical theology fails to meet the rational standards he sets for religious knowledge, his critique of Kantian religious epistemologies fails to apply to Hart's position, and that he himself allows for indirect knowledge of God in certain instances. The thesis concludes by noting if our knowledge of God can be indirect in some instances without also being rationally incoherent disguised nonsense, then perhaps Hart is not wrong for regarding it to be indirect in all instances.

Organisations are constantly dealing with challenges to stay on competitive and doing well, that induces organisations to consistently reassess their plans, formations, course of actions, procedure, and development to remain cost-effective and retain effective workforce. To keep employees highly motivated, content, and effective is however a focal and major issue in the domain of employee job satisfaction because of enormous human involvement. Consequently human resource managers are keen to find the strategies to keep their workforce fully motivated and dedicated to their jobs. In this study dissimilar from prior studies researcher has applied work attributes (Herzberg, 1968; Adams, 1963) and personality aspects (Judge etal, 2001) to examine the relationship of work attributes and personality disposition with job satisfaction. In current era of Information technology revolution organisations across the globe confronting several challenges on different counts including to keep workforce motivated and effective to gain maximum from their skills. Keeping workforce motivated to reduce tardiness, absenteeism, misuse of resources, and turnover are major issues of concern in the domain of employee job satisfaction and human resources management. Therefore, human resources management practitioners, managers, and policy makers are enthusiastically concerned to know about the factors that may help to make workforce effective, motivated and contend with work. The aim of this Doctoral thesis was to study the determinants of employee job satisfaction. The objectives were to explore the organisational work attribute factors and employee personality aspects in Public healthcare sector of Pakistan Where various reforms introduced after implementation of new health policy called Health for All(HFA) lately. This study was categorised in seven parts staring with introduction stating the setting of the study which covers background of this empirical study and supplies the transparent context information. In second phase systemic carefully carried literature review led to theoretical frame work and hypotheses development in third phase. Onwards Survey Questionnaires were administrated to General physicians working in public hospitals for data collection purpose. Descriptive statistics, multi analysis of variance, and exploratory factor analysis with the help of Statistical package for social science (SPSS) was applied to analyse the data, hypotheses testing and confirmatory factor analysis were done with the help of structural equation modelling(SEM). Outcome generated discovered that perception of procedural justice, on job training, working conditions, esprit de corps (team work) and personality aspects self esteem, and self efficacy belief, were significantly and affirmatively correlated and neuroticism personality aspect negatively correlated with employee job satisfaction. However, employee job clarity, task significance perception and personality aspect of locus of control orientation were not found to be related with job satisfaction. Implications and recommendation of research for employee job satisfaction are also discussed.

God-concepts of 24 third to sixth grade evangelical Christian children were compared with the children‘s logical thinking abilities in a mixed-method study. Measurements included the Children‘s Interview and the Group Assessment of Logical Thinking (GALT). God-concepts among the children were Biblical, comforter, communicates, creator, empowering, protector, provider, purposeful, human characteristics, lives in heaven, male, counselor, God is Jesus, all-knowing, loving, perfect, powerful, real, and parental. The majority of concrete thinkers conceptualized God as a gracious guide. The majority of transitional thinkers viewed God also as a gracious guide as well as a distant divinity. Implications were given for religious educators to develop a model for age-appropriate instruction and curriculum and to equip parents to promote spiritual development with children at home.

Concept of identity within digital games is believed to be a prominent subject as the bond between the player and the character could potentially enhance the gameplay experience. There is as yet a lack of studies addressing the visual identification of predefined game characters. Therefore, this study aims to examine how the identification is established through visual attributes of a game character. To this end, a qualitative online survey was undertaking, gathering responses from 350 respondents. The responses were analysed using thematic analysis, and the elicited themes indicate that the identification has in fact been established, where visual attributes such as hair, weapons, outfits and even abilities had an influence on how the participants perceived and identified themselves with the character. / Begreppet identitet inom digitala spel tros vara ett betydande ämne när det kommer till spelforskning då samhörigheten mellan en spelare och en karaktär potentiellt kan förstärka spelupplevelsen. Eftersom en liten mängd studier använder termen identifiering inom visuella studier av fördefinierade spelkaraktärer, syftar denna studie till att undersöka hur identifiering etableras genom spelkaraktärens visuella attribut. Totalt har 350 respondenter besvarat ett kvalitativt online-frågeformulär. Svaren har analyserats med hjälp av tematisk analys, och de uppfunna teman indikerar på att identifiering har fastställts, där visuella attribut såsom hår, vapen, kläder men även förmågor har inverkat på hur deltagarna uppfattade och identifierade sig med en karaktär.