Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental results for image-based geometrical reconstruction for spacecraft Rendezvous navigation with unknown and uncooperative target spacecraft

For both manned and autonomous space on-orbit servicing missions, the collision avoidance and motion prediction of the target objects are essential for a safe mission operation. Our approach assumes unknown and uncooperative target objects (spacecraft, space debris) and a camera only vision system. The target's 3D structure is reconstructed from a sparse point cloud extracted from a rendezvous-SLAM algorithm and processed by a RANSAC algorithm. Afterwards the 3D model can be used in a feedback manner for enhancing visual navigation processing tasks. The paper details the general concept and presents experimental results with camera image data from a spacecraft rendezvous simulator testbed.
Incorporating Rate Adaptation Into Green Networking for Future Data Centers

Despite some proposals for energy-efficient topologies, most of the studies for saving energy in data center networks are focused on traffic engineering, i.e., consolidating flows and switching off unnecessary network devices. The major weakness of this approach is network oscillation brought by the frequent change of network topology when traffic fluctuates very fast. In this paper, we propose to incorporate rate adaptation into green data center networks. With rate adaptive network devices, we aim at approaching network-wide energy proportionality by routing optimization. We formalize the problem with an integer program and propose an efficient approximation algorithm - TSRR, solving the problem quickly while guaranteeing a constant performance ratio. Extensive range of simulations confirm that more than 40% of the energy can be saved while introducing very slight stretch on network delay.
The Effects of Scannability on Information Search : An Online Experiment

One of the most important tasks of web-based inform ation retrieval and processing is searching. A large body f studies yielded that people, while foraging informa tion, do not read on-screen but rather scan. In the current study we try to elucidate the effects of salient items on re sponse time and answer accuracy in search tasks. In an online experiment we presented two text paragraphs, simila r to search engine results, asking the participants to d ecide as fast as possible whether the text is relevant for a given task or not. Each paragraph has been presented with a di fferent density of salient items (bold words). As dependent variables response time and answer accuracy have be en recorded. The results of this study show that the density of salient items has a clear impact on search efficien cy.
Designing Deception in Adversarial Reinforcement Learning

In an adversarial scenario, deceptions are powerful tools capable of earning time delayed rewards which an agent can use to circumvent the opponent’s counter attack. This paper illustrates deception as a complementary policy to direct objective satisfaction. In this paper, a framework for deceptions is defined to finally determine the number and nature of these actions. A minimal set of these actions ensures fast learning while being robust enough to confront any strong opponent. To satisfy the conditions of optimality with changing opponent policies, suitable judging criteria are provided. The focus of this work is primarily on application of Robot soccer. Benchmark examples of tactics involving a subset of players are implemented with deceptions, the results of which are compared to standard hand-coded solutions. This paper focuses on such contests with an aim to generate a library of tactics to deal with them seamlessly without having to customise the function approximator or learning algorithm to a great deal.
A Framework for Transfer in Reinforcement Learning

We present a conceptual framework for transfer in reinforcement learning based on the idea that related tasks share a common space. The framework attempts to capture the notion of tasks that are related (so that transfer is possible) but distinct (so that transfer is non-trivial). We de-(cid:2)ne three types of transfer (knowledge, skill and model transfer) in terms of the framework, and illustrate them with an example scenario.
Illusory Modification of Lightness in “ Anomalous ” Figures Lucia Zanuttini

Observers see a white triangle on the top of three black disks; the white triangle appears lighter, although it has the same luminance of the white background. Also squared or irregular “anomalous” figures can be created (Kanizsa & Gerbino, 1987). Several competing explanations have been put forward for the effect (Dumais, & Bradley, 1976; Coren, 1991; Ramachandran & Rogers-Ramachandran, 2005), which will not be discussed in this context. The lightness/brightness of a surface is a function of the luminance of the area (candles/mq); when the same intensity is spread over a larger area the luminance decreases, and “normally” also the lightness is. Phenomenal modifications of lightness have been considered mainly in situations in which surfaces are affected by contrast, when different luminance/reflectance areas are simultaneously present (Li & Gilchrist, 1999; Gilchrist & Radonjić, 2009) Lightness can also be affected by illusory modification of the magnitude of an area: a white disk, when inside a small concentric circle (a display like those originally proposed by Delboeuf), looks not only larger but also lighter than when surrounded by a larger one. Increased size and lightness appear correlated (Zanuttini, Daneyko & Zavagno, 2009). This effect is counterintuitive, as the same intensity is spread over a larger area (Zanuttini & Danejko, 2010). The same lightness effect has been observed with the Ebbinghaus figure; moreover when the central disk is grey it looks darker (Danejko, Zavagno. & Zanuttini, 2011). What will happen of the lightness of an anomalous figure, when the size of the packs is manipulated in a Delboeuf or Ebbinghaus like manner?
EUROPEAN OPTIONS SENSITIVITY WITH RESPECT TO THE CORRELATION FOR MULTIDIMENSIONAL HESTON MODELS

We study the sensitivity of European option prices with respect to correlation parameters in the multi-asset Heston model. The differentiability of the price function with respect to the correlation is proved by using the regularity of the flow of the Cox–Ingersoll–Ross model. In the bidimensional case and when the Feller condition is satisfied, we establish an asymptotic approximation for the derivative of the price with respect to the correlation for short maturities. This approximation is used to discuss monotony issues for exchange and spread option prices. Monotony properties are also obtained for some values of "the volatility of the volatility parameter" and of the correlation between stock prices and their volatilities. We conclude with a large number of simulations that confirm the theoretical results.
Multidrug-resistant Cancer Cell Lines 193 , 000 Vault Protein Is Up-Regulated inr

Vaults are 13 megadalton ribonucleoprotein particles composed largely of the major vault protein (MVP) and two high molecular weight proteins, p240 and p193, and a small vault RNA (vRNA). Increased levels of MVP expression, vault-associated vRNA, and vaults have been linked directly to multidrug resistance (MDR). To further define the putative role of vaults in MDR, we produced monoclonal antibodies against theMr 193,000 vault protein and studied its expression levels in various multidrug-resistant cell lines. We find that, like MVP, p193 mRNA and protein levels are increased in various multidrug-resistant cell lines. Subcellular fractionation of vault particles revealed that vault-associated p193 levels are increased in multidrug-resistant cells as compared with the parental, drug-sensitive cells. Furthermore, protein analysis of postnuclear supernatants and coimmunoprecipitation studies show that drug-sensitive MVP-transfected tumor cells lack this up-regulation in vault-associated p193. Our observations indicate that vault formation is limited not only by the expression of the MVP but also by the expression or assembly of at least one of the other vault proteins.
Notice of RetractionDesign of system pressure valve of 8-speed automatic transmission

System pressure valve is very important for the performance of 8-speed automatic transmission (8AT). The new system pressure valve of 8AT in front-wheel drive (FWD) is designed and simulated by ITI-SimulationX, its performance such as pressure and flow of system pressure valve were analyzed and optimized in a whole power train system including hydraulic system, mechanical system and control system. Because the model includes the interaction of all components from the different physical domains in whole power transmission system, this is very helpful for the performance optimization of system pressure valve in real application of 8-speed automatic transmission.
A SDN-based network architecture for cloud resiliency

In spite of their commercial success, Cloud services are still subject to two major weak points: data security and infrastructure resiliency. In this paper, we propose an original Cloud network architecture aiming at improving the resiliency of Cloud network infrastructures interconnecting remote data centers. The main originality of this architecture consists in exploiting the principles of Software Defined Networking (SDN) in order to adapt the rerouting strategies in case of network failure according to a set of requirements. In existing Cloud networks configurations, network recovery after a fiber cut is achieved by means of the usage of redundant bandwidth capacity preplanned through backup links. Such an approach has two drawbacks. First, it induces at a large scale a non-negligible additional cost for the Cloud Service Providers (CSP). Second, the pre-computation of the rerouting strategy may not be suited to the specific quality of service requirements of the various data flows that were transiting on the failing link. To prevent these two drawbacks, we propose that CSPs deploy their services in several redundant data centers and make sure that those data centers are properly interconnected via the Internet. For that purpose, we propose that a CSP may use the services of multiple (typically two) Internet Service Providers to interconnect its data centers via the Internet. In practice, we propose that a set of “routing inflection points” may form an overlay network exploiting a specific routing strategy. We propose that this overlay is coordinated by a Software Defined Networking-based centralized controller. Thus, such a CSP may choose the network path between two data centers the most suited to the underlying traffic QoS requirement. The proposed approach enables this CSP a certain independency from its network providers. In this paper, we present this new Cloud architecture. We outline how our approach mixes concepts taken from both SDN and Segment Routing. Unlike the protection techniques used by existing CSPs, we explain how this approach can be used to implement fast rerouting strategy for inter-data center data exchanges.
Instrument for Measuring Computing and Security Expertise – TR 715

The Science of Security, particularly in the case of human factors and usability, remains inchoate. Individual research groups and researchers develop code, simulations, instruments, dataset and experimental designs that are either not released with adequate detail for reproducibility or simply not reused beyond the individual research group. Through this paper we seek to contribute to the Science of Security by providing our instruments grounded in previous scholarship to measure computer and security expertise of participants. Furthermore, we provide the rationale for developing an instrument for measuring user computer and security expertise, information needed to analyze results yielded using this instrument and also methods to measure confidence in such expertise instruments.
The Argos Language: Graphical Representation of Automata and Description of Reactive Systems

We present the Argos graphical synchronous language for the description of reactive systems, and the Argonaute environment associated with it. Systems like communication protocols, real time process controllers or man/machine interfaces contain a reactive kernel. Its behaviour can be described in a convenient manner by an automaton , for formal validation purposes. But, in general, complex systems cannot be described directly as automata. The Statecharts [4,5] and Argos [7,8] are automata-based languages. The high level constructs of the language deal with states and transitions directly. A consequence of this choice is the graphical syntax, since the best representation of small automata is graphical. A consequence of this graphical syntax is the need for graphical constructs: the constructs of the language must allow the decomposition of a system into small parts that can be represented directly by automata, and they must be given a readable graphical syntax.
Recommendation system to accomplish user pursuit

Recommendation system provides information about the arrival and importance of a newly released movie to their registered user. The pursuit of the users is analyzed from their past history. In this paper, a recommendation system is proposed to recommend rating of the movie to the users. The learning phase of the system takes in the user particulars about the user till-date and his rating towards those movies. Having the Genre of the movie and its rating, the system is trained by data mining classifiers like Bayesian, Multiclass Classifier, Decision Stump Tree, Best First Decision Tree(BFTree) and Radial Basis Function(RBF) and the classification parameters i.e. True Positive rates(TP), False Positive rates(FP), Precision, Recall and Mean Absolute Error are computed. It has been concluded that the RBF classifier performs better than the other classifiers. This paper also focuses to address the problem of cold start movie. The genre of the new release is obtained and it's recommended to the corresponding user, those who are closely correlated. Implementations are carried out using movie lens datasets.
Catching a Ball at the Right Time and Place: Individual Factors Matter

Intercepting a moving object requires accurate spatio-temporal control. Several studies have investigated how the CNS copes with such a challenging task, focusing on the nature of the information used to extract target motion parameters and on the identification of general control strategies. In the present study we provide evidence that the right time and place of the collision is not univocally specified by the CNS for a given target motion; instead, different but equally successful solutions can be adopted by different subjects when task constraints are loose. We characterized arm kinematics of fourteen subjects and performed a detailed analysis on a subset of six subjects who showed comparable success rates when asked to catch a flying ball in three dimensional space. Balls were projected by an actuated launching apparatus in order to obtain different arrival flight time and height conditions. Inter-individual variability was observed in several kinematic parameters, such as wrist trajectory, wrist velocity profile, timing and spatial distribution of the impact point, upper limb posture, trunk motion, and submovement decomposition. Individual idiosyncratic behaviors were consistent across different ball flight time conditions and across two experimental sessions carried out at one year distance. These results highlight the importance of a systematic characterization of individual factors in the study of interceptive tasks.
When bodies do not fit: an analysis of postgraduate fieldwork

Abstract Feminist geographers are increasingly examining embodied aspects of research. These embodied dimensions of fieldwork often build upon intersecting positionalities, yet studies focusing on bodily limitations encountered by feminists in the field are relatively few. In this article, we explore what it is like to be bodies that do not fit easily into the context within which they are supposed to be doing fieldwork. We are both female postgraduate students conducting fieldwork in the Global South. We have encountered, many times over, instances where, because of our sick and fatigued bodies, we have not been able to continue our work. We question the normalization of able-bodied postgraduate students by problematizing our own experiences, and argue that discourses of ability dominate fieldwork, in both its expectations and its conduct. This is especially the case for those with invisible disabilities because researchers may appear healthy but are not. As a result, postgraduate students may jeopardize their health for the sake of their research.
Small Business Perspectives on the Role of Rural Libraries in Economic Development

People living in the Appalachian region, including its rural areas, face challenging economic, social, and cultural conditions with limited financial opportunities, information poverty and unemployment, and low levels of information literacy and educational attainment. The roles played by rural public libraries in small business economic development in this region require exploratory study of representative small businesses to refocus library services and resources on their information needs and information-seeking experiences. This article proposes a user- and use-based model to represent the information context and perspectives of such businesses in the state of Tennessee as a case study in order to apply the lessons and insights to other parts of the United States. It concludes with suggestions for the blueprint design of a public library small business tool kit, an ideal resource that Tennessee’s rural public libraries can develop for small businesses in the future.
Inverse truncated mixing matrix (ITMM) algorithm application to underdetermined convolutive blind speech sources separation

Inverse Truncated Mixing Matrix (ITMM) is a powerful method for underdetermined instantaneous blind source separation [1]. In this paper, we generalize ITMM algorithm to underdetermined convolutive blind source separation case. The proposed algorithm can be divided into two steps. The first step is the mixing filters estimation. The convolutive mixture can become an instantaneous mixture in time-frequency (TF) domain under some narrowband assumptions. Then, we used cluster method to estimate mixing matrix in every frequency bin. The second step is the source recovery part, we used ITMM method to mixing matrix in every frequency bin to source recovery in TF domain. Experimental evaluations are gained in artificial Room Impulse Responses (RIRs) environments, compared with conventional algorithms, the ITMM algorithm can separate speech sources to a higher signal-to-interference ratio (SIR).
An Automated Approach for Interpretation of Statistical Graphics

Text plays vital role in the analysis of quantitative data as in statistics the data representation is made through different graphical tools such as bar charts, pie charts, line charts, scatter diagram, histograms etc. Statistical graphics are the valuable tool used for visual information representation in multimodal documents. It is often observed that communicative goal of the statistical graphics is not captured by documents accompanying text. To perceive the represented information using statistical graphics is hard-hitting job for novice readers. An approach to automate the process of image classification and information extraction is presented in this paper. This study focuses on the area charts that are important type of statistical graphics used for probability distribution and testing of hypothesis process. Firstly, we have classified the area charts into different classes and then designed architecture for chart image classification and information withdrawal from each class of area chart. The extracted information is represented in the form of natural language summaries using template based approach.
Web Service Test Case Generation Based on Decision Table (Short Paper)

Software testing [1] consumes at least 50% of labor and its cost approximates 50-70% of software cost which it may cause software delay. To date, web service is a popular way of implementing a Service-Oriented Architecture (SOA), which has gained rapid adoption and support from leading companies in industry [2]. Most of researches, test case is generated from web service description only based on black box testing which its limitation is a large number of generated test cases. This paper proposes a methodology to generate web service test case based on decision table. The generated test case corresponds to web service's requirement and web service description which are defined in WSDL-S and SWRL.
Neocortical calretinin neurons in primates: increase in proportion and microcircuitry structure

In this article we first point at the expansion of associative cortical areas in primates, as well as at the intrinsic changes in the structure of the cortical column. There is a huge increase in proportion of glutamatergic cortical projecting neurons located in the upper cortical layers (II/III). Inside this group, a novel class of associative neurons becomes recognized for its growing necessity in both inter-areal and intra-areal columnar integration. Equally important to the changes in glutamatergic population, we found that literature data suggest a 50% increase in the proportion of neocortical GABAergic neurons between primates and rodents. This seems to be a result of increase in proportion of calretinin interneurons in layers II/III, population which in associative areas represents 15% of all neurons forming those layers. Evaluating data about functional properties of their connectivity we hypothesize that such an increase in proportion of calretinin interneurons might lead to supra-linear growth in memory capacity of the associative neocortical network. An open question is whether there are some new calretinin interneuron subtypes, which might substantially change micro-circuitry structure of the primate cerebral cortex.
Acquisition of Fluent Listener Responses and the Educational Advancement of Young Children with Autism and Severe Language Delays

We investigated the effects of a “listener emersion” procedure on pre and post numbers of weekly instructional trials (learn units) required to meet instructional objectives in all curricular programs for 8 children with autism (3 and 4 years old) using a multiple probe design across participants. The students had few or no functional verbal repertoires (speech or alternative forms) and their teachers were having difﬁculty achieving instructional objectives for matching, basic discriminations, and instructional control learning with the students. The dependent variable was the weekly numbers of learn units the students required to achieve instructional objectives in all curricular programs 1 week before, and 2 weeks after the listener emersion. All curricular programs were suspended during the implementation of listener emersion and the students were required to master several sets of listener responses such that the responses could only be controlled by the auditory components of teachers’ audio-taped speech, ﬁrst to a mastery criterion without a rate requirement and then to mastery with rate of responding criterion. Following listener emersion the students required from one half to ten times fewer learn units to achieve objectives. The results are discussed in terms of the importance of a listener repertoire to children’s advancement and the identiﬁcation of key de-