Miracle-dz/UniFAR-FTUs huggingface dataset:
Supporting Lightweight Customization for Meeting Environments

Digital wall-sized displays commonly support authoring and presentation in face to face meetings. Yet most meeting applications show not only meeting content (i.e., the material being developed) but authoring tools as well – the usual controls, palettes, and menus. Attendees are distracted when the author navigates the (usually complex) interface as part of the authoring process the tools themselves unnecessarily clutter the display. The problem is that current customization techniques are not suited for meeting environments as complex customization interfaces take attention away from the meeting agenda thus making customization a socially unacceptable practice. In this paper, we present the solution of lightweight customization, a customization technique designed to minimize time and cognitive effort. This paper illustrates lightweight customization through two implementations: First, customized views provide a scribe with full application functionality while presenting the important presentation content to the other meeting collaborators on a secondary projected display. Second, customized interfaces allow meeting collaborators to rapidly recall previous functionality and build customized interfaces through a history of previous actions.
Database Traversal to Support Search Enhance Technique using SQL

A search-as-you-type system computes answers on-the-fly as a user sorts during a keyword question character by character. We have a tendency to support search-as-you-type on information residing during relative software. We have a tendency to target the way to support this kind of search mistreatment the native information language, SQL. A main challenge is the way to leverage existing information functionalities to satisfy the high performance demand to realize associate interactive speed. We have a tendency to use auxiliary indexes hold on as tables to extend search performance. We have a tendency to gift solutions for each single keyword queries and multi keyword queries, and develop novel techniques for fuzzy search mistreatment SQL by permitting mismatches between question keywords and answers. We gift techniques to answer first-N queries and discuss the way to support updates expeditiously. Experiments on massive, real information sets show that our techniques modify software systems on a trade goods pc to support search-as-you-type on tables with a lot of records.
Documents and the communication of scientific and scholarly information: Revising and updating the UNISIST model

In 1971 UNISIST proposed a model for scientific and technical communication. This model has been widely cited and additional models have been added to the literature. There is a need to bring this model to the focus of information science (IS) research as well as to update and revise it. There are both empirical and theoretical reasons for this need. On the empirical side much has happened in the developments of electronic communication that needs to be considered. From a theoretical point of view the domain‐analytic view has proposed that differences between different disciplines and domains should be emphasised. The original model only considered scientific and technical communication as a whole. There is a need both to compare with the humanities and social sciences and to regard internal differences in the sciences. There are also other reasons to reconsider and modify this model today. Offers not only a descriptive model, but also a theoretical perspective from which information systems may be unders.
Channel estimation assisted improved timing offset estimation

This paper presents a training signal based improved timing offset estimation method in frequency selective fading channels. A coarse timing offset estimate is first obtained by maximizing a normalized correlation metric. A coarse frequency offset estimate is similarly obtained by a correlation metric. Then a sliding observation vector based maximum likelihood approach (SOV-ML) for joint timing and frequency offset estimation is applied. This SOV-ML requires the knowledge of channel impulse response (CIR). The CIR estimate is usually affected by the coarse timing and frequency offset estimates. The key requirement for SOV-ML is to obtain a CIR estimate which is not affected (or minimally affected) by the coarse timing and frequency offsets. This paper addresses how to obtain this CIR estimate and presents how this channel estimation assists in improving the timing offset estimation. A way of complexity reduction by an adaptive scheme is also presented.
Measuring the effectiveness of strategies and quantifying players’ performance in football

Earlier work in the area of measuring the effectiveness of playing strategies at football is extended in this paper. A procedure to estimate the probability of scoring and conceding a goal as a result of an open play or a set play action taken in a given area of the field by a player who is or is not under pressure from the opposition is proposed. The method is applied to a set of real data gathered using a specially devised hand notation system. Example application to choosing rational and optimal decisions in a given situation is provided, as well as to identification of strengths and weaknesses of a particular team. Net impact of each action on the probability of scoring a goal for each team is used to quantify players’ impact on the result of the game.
What is an Appropriate Theory of Imitation for a Robot Learner?

When faced with learning new skills or trying to solve problems humans sometimes have a choice, either learn the skill oneself (individual learning) or alternatively learn the skill from someone who already has that knowledge (social learning). Learning from another has the advantage of bypassing a long and costly search process and can therefore speed up learning by exploiting the knowledge of the other. It may also be the case that new and original solutions to problems may never be found when searching for them individually whereas readily available solutions may be found by exploiting the knowledge of another. Imitation is one mechanism which allows this knowledge transfer to take place. In this paper comparisons of selected theories underlying imitation and how these may be useful from a robotics viewpoint and especially a robot learner are presented. Many of these theories underlie existing robotic implementations and thus to understand the efficacy of these robot learners an understanding of the underlying concepts may prove useful and necessary.
Investigation of coded OFDM system over Rayleigh fading channel

This paper presents a channel coding scheme for OFDM with 64-QAM and 256-QAM over Rayleigh channel. In our proposed scheme, the OFDM system employs three mode of IFFT with 4k, 16k, and 32k. In addition, the concatenated coding scheme of LDPC and BCH code is utilized as channel code referring to the standard from ETSI EN 302 755. Aside from the simulation, we also measure the system performance via the instrument that using DVB-T2 transmitter and receiver. Finally, the comparison and discussion of the simulation and trial measurement are demonstrated.
Perception, Action, and Utility: The Tangled Skein

Normative theories of learning and decision-making are motivated by a computational-level analysis of the task facing an animal: what should the animal do to maximize future reward? However, much of the recent excitement in this field originates in how the animal arrives at its decisions and reward predictions—-algorithmic questions about which the computational-level analysis is silent. Answers to these algorithmic questions are essentially claims about dynamics (learning/adjustment across trials or the transformation of decision variables within trials). These depend crucially on the computational quantities and how they are manipulated algorithmically, the focus of this chapter.
A relaxed practical universal decoding algorithm for slepian-wolf system

In this paper, we will discuss universal decoding problem for Slepian-wolf (SW) systems, as we know, for the first time. Based on former literature, we give a different interpretation for minimum entropy decoder and propose a relaxed linear programming decoding algorithm. With low computational complexity, the decoding algorithm can practically settle the universal decoding problems of SW systems.
The initial conditions of stellar protocluster formation - I. A catalogue of Spitzer dark clouds

Context. The majority of stars form in clusters. Therefore a comprehensive view of star formation requires understanding the initial conditions for cluster formation. Aims. The goal of our study is to shed light on the physical properties of infrared dark clouds (IRDCs) and the role they play in the formation of stellar clusters. This article, the first of a series dedicated to the study of IRDCs, describes techniques developed to establish a complete catalogue of Spitzer IRDCs in the Galaxy. Methods. We have analysed Spitzer GLIMPSE and MIPSGAL data to identify a complete sample of IRDCs in the region of Galactic longitude and latitude 10° < |l|< 65° and |b| < 1°. From the 8 m observations we have constructed opacity maps and used a newly developed extraction algorithm to identify structures above a column density of 1 1022 cm-2. The 24 m data are then used to characterize the star formation activity of each extracted cloud. Results. A total of 11 303 clouds have been extracted. A comparison with the existing MSX based catalogue of IRDCs shows that 80% of these Spitzer dark clouds were previously unknown. The algorithm also extracts ~20 000 to 50 000 fragments within these clouds, depending on detection threshold used. A first look at the MIPSGAL data indicates that between 20% and 68% of these IRDCs show 24 m point-like association. This new database provides an important resource for future studies aiming to understand the initial conditions of star formation in the Galaxy.
A Study of Corticotropin-releasing Factor-catecholamine Interactions in the Reinstatement of Cocaine Seeking in Rats

It has been well established that the stress-related neurochemical systems corticotropinreleasing factor (CRF), noradrenaline (NA), and dopamine (DA) mediate stress-induced reinstatement of drug seeking. The three series of experiments presented in this dissertation constitute a further exploration of the role these neurochemical circuits play in reinstatement by providing the first direct exploration of whether central CRF and catecholamine (NA and DA) systems interact to influence reinstatement of cocaine seeking. The primary objective of the first series of experiments was to determine whether NA and CRF systems interact to mediate reinstatement of cocaine seeking and, if so, to determine the direction of this interaction. Results showed that central administration of NA induced reinstatement and up-regulated the expression of c-fos mRNA, a marker of neuronal activation, in brain regions involved in footshock-induced reinstatement. Pretreatment with a CRF antagonist blocked NA-induced reinstatement. In contrast, pretreatment with the α2adrenoceptor agonist, clonidine, failed to block CRF-induced reinstatement. Taken together, these findings suggest a functional interaction between NA and CRF systems in mediating stress-induced reinstatement of cocaine seeking, whereby activation of CRF receptors occurs subsequent to, and downstream of, the sites of action of NA.
Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms

This article introduces asynchronous implementations of selected synchronous cooperative co-evolutionary multi-objective evolutionary algorithms (CCMOEAs). The CCMOEAs chosen are based on the following state-of-the-art multi-objective evolutionary algorithms (MOEAs): Non-dominated Sorting Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Multi-objective Cellular Genetic Algorithm (MOCell). The cooperative co-evolutionary variants presented in this article differ from the standard MOEAs architecture in that the population is split into islands, each of them optimizing only a sub-vector of the global solution vector, using the original multi-objective algorithm. Each island evaluates complete solutions through cooperation, i.e., using a subset of the other islands current partial solutions. We propose to study the performance of the asynchronous CCMOEAs with respect to their synchronous versions and base MOEAs on well kown test problems, i.e. ZDT and DTLZ. The obtained results are analyzed in terms of both the quality of the Pareto front approximations and computational speedups achieved on a multicore machine.
Tracking by Sampling and IntegratingMultiple Trackers

We propose the visual tracker sampler, a novel tracking algorithm that can work robustly in challenging scenarios, where several kinds of appearance and motion changes of an object can occur simultaneously. The proposed tracking algorithm accurately tracks a target by searching for appropriate trackers in each frame. Since the real-world tracking environment varies severely over time, the trackers should be adapted or newly constructed depending on the current situation, so that each specific tracker takes charge of a certain change in the object. To do this, our method obtains several samples of not only the states of the target but also the trackers themselves during the sampling process. The trackers are efficiently sampled using the Markov Chain Monte Carlo (MCMC) method from the predefined tracker space by proposing new appearance models, motion models, state representation types, and observation types, which are the important ingredients of visual trackers. All trackers are then integrated into one compound tracker through an Interacting MCMC (IMCMC) method, in which the trackers interactively communicate with one another while running in parallel. By exchanging information with others, each tracker further improves its performance, thus increasing overall tracking performance. Experimental results show that our method tracks the object accurately and reliably in realistic videos, where appearance and motion drastically change over time, and outperforms even state-of-the-art tracking methods.
Aesthetic objects on display: The objectification of fashion models as a situated practice

This article unravels the process of objectification by empirically examining a social context where it occurs almost incessantly: fashion modeling. Drawing on an ethnography of fashion modeling in Amsterdam, Paris and Warsaw, I argue that objectification is neither ubiquitous nor one-dimensional: it takes place in specific social contexts and unfolds itself differently under different social conditions. Moreover, objectification is not unidirectional: it is done by and happens to both men and women. By taking an experiential perspective which involves models’ subjective responses to being objectified, I call into question theoretical arguments of objectification pertaining to disempowered subjects, and the assumption that objectification is inherently negative or immoral. Instead, I argue that objectification is socially rooted in institutions and specific situations and that this matters considerably for its varying forms, levels of intensity and the emotional and practical responses it evokes in people. This does not imply that objectification is less compelling as a process, or easy to avoid. Objectification might be all the more effective exactly because the process is embedded in different social contexts, and adapts itself accordingly.
Observation of one-fifth-of-a-clock wake-up time of power-gated circuit

The wake-up time of zigzag super cut-off CMOS (ZSCCMOS) is measured using a functional block for the first time. The measurement method is established and the measured wake-up time is 16% of the cycle time for a 16-bit Brent-Kung adder. The wake-up time corresponds to a three 2-input NAND delay. The delay overhead and leakage current reduction of ring oscillators are also measured for the first time. Leakage reduction by a factor of 100 to 1000 is possible for dormant circuit blocks. Thus ZSCCMOS is shown to be effective as a clock-gating substitute.
Guest Editorial…

The phrase "reliable software" has two distinct shades of meaning. On the one hand, it implies correctness. A piece of software is correct if it meets its functional specifications. This implies that as long as the inputs satisfy the specifications, the software will produce the dcsircd outputs. On the other hand, reliable software implies robustness. A piece of software is robust, or fault tolerant, if it can be expected to deliver a certain minimum level of services even when faced with an unexpected or hostile environment (such as hardware failure or bad data). Thus a piece of software is reliable it it is both consistent with respect to the stated specifications and able to withstand unexpected demands. Software validation is concerned with analyzing software to determine the extent to which it performs the logical functions intended by its creator. Techniques in software validation can be classified into two main categories: testing and verification. Software testing is concerned with analyzing a program by evaluating its response to a selected set of input data. Since any test data will necessarily be a very small sample of the possible inputs, testing is inadequate for achieving a complete understanding of the logical or the performance properties of real programs. However, testing may be a necessary step in program vali-
Les pratiques d’orientation en direction des personnes malades chroniques : accompagnement collectif et individuel dans le cadre d’une recherche-action

Cet article presente les pratiques d’orientation individuelles et collectives mises en œuvre aupres de personnes malades chroniques, dans le cadre d’une recherche-action portant sur les freins et les leviers de leur retour a l’emploi. Apres avoir expose nos ancrages theoriques et les choix methodologiques effectues, nous decrirons comment des pratiques collectives au sein d’un dispositif d’echanges et des pratiques individuelles se completent pour permettre aux sujets de revenir sur leur parcours, de trouver dans le regard des autres un point d’appui a la mise en œuvre des strategies individuelles et mettre a jour de nouvelles potentialites. La dynamique de groupe joue un role important dans la construction du projet en tant que support a la transition professionnelle. L’entretien individuel se centre sur la narration des activites, afin de reactualiser la perception de soi et l’eprouve des capacites. Lorsque la maladie conduit a un reamenagement du parcours de vie, des capacites et des desirs, la construction de projets peut s’appuyer sur l’experience des activites deployees depuis l’irruption de la maladie : celles-ci sont l’occasion de confronter desirs et possibles.
Improving Performance of Topic Models by Variable Grouping

Topic models have a wide range of applications, including modeling of text documents, images, user preferences, product rankings, and many others. However, learning optimal models may be difficult, especially for large problems. The reason is that inference techniques such as Gibbs sampling often converge to suboptimal models due to the abundance of local minima in large datasets. In this paper, we propose a general method of improving the performance of topic models. The method, called 'grouping transform', works by introducing auxiliary variables which represent assignments of the original model tokens to groups. Using these auxiliary variables, it becomes possible to resample an entire group of tokens at a time. This allows the sampler to make larger state space moves. As a result, better models are learned and performance is improved. The proposed ideas are illustrated on several topic models and several text and image datasets. We show that the grouping transform significantly improves performance over standard models.
Post Mortem Analysen mit OpenSource Software

Forensische Analysen mit freien OpenSource Programmen sind seit Dan Farmers und Wietse Venemas ersten und einzigen Forensik-Kurs und der darauf folgenden Veröffentlichung des Coroner’s Toolkits [1] im Jahr 1999 kein unbekannter Faktor mehr. Allerdings mussten sich die OpenSource-Lösung von jeher den Vorwurf gefallen lassen, im Gegensatz zu ihrer kommerziellen Konkurrenz umständlich bedienbar und nur für Freunde der Kommandozeile anwendbar zu sein. Mit Brian Carriers Autopsy [2]/Sleuth Kit [3] Programmkombination soll diese Lücke geschlossen werden. Dieser Beitrag befasst sich mit dem professionellen Einsatz dieser Programme bei forensischen Laboranalysen und den neuen Möglichkeiten, die mit der grafischen Oberfläche Autopsy verbunden sind. 1 Einsatz von OpenSource Software in der Vergangenheit Nachdem Systemadministratoren jahrelang mit Hilfe von Systemtools und selbstgeschriebenen Programmen Einbrüche in Computersysteme analysiert hatten, stellten Dan Farmer und Wietse Venema im August 1999 zum ersten Mal ein einheitliches Toolset zur Analyse von kompromittierten Systemen vor. Dieses Toolset wurde unter dem Namen „The Coroner’s Toolkit“ (TCT) bekannt. Das TCT stellt dem forensischen Experten Programme zur Beweissicherung und zur späteren Laboranalyse zur Verfügung. Im Lauf der folgende Jahre wurde das TCT zu einem Quasi-Standard, wenn für eine forensische Analyse OpenSource Software herangezogen wurde. Das Coroner’s Toolkit wurde nach-und-nach durch Zusatzprogramme erweitert. Brian Carrier implementierte seine „tctutils“ [4], eine Reihe von Zusatzprogrammen die das TCT um die Möglichkeit ergänzte, Analysen auch auf Dateinamen-Ebene durchzuführen. Ebenso erschuf Carrier mit „Autopsy“ ein webbasiertes Frontend für die Kommandozeilen-Programme. Etwa zeitgleich portierte Knut Eckstein des TCT für HP-UX 10.20 und 11.00 [5]. Bei der Analyse mehrerer kompromittierter Systeme erwies sich TCT dahingehend als problematisch, dass pro analysiertem Betriebssystem eine eigene Version des TCT auf dem identischen Betriebssystem benötigt wurde. Carrier kombinierte TCT und tctutils mit einigen neuen Features und stellte damit „The @stake Sleuth Kit“ (TASK) zur Verfügung. TASK erlaubt dem forensischen Experten die plattformunabhängig Analyse