Miracle-dz/UniFAR-FTUs huggingface dataset:
Relaxations of parameterized LMIs with control applications

A wide variety of problems in control system theory fall within the class of parameterized linear matrix inequalities (LMI), that is, LMI whose coefficients are functions of a parameter confined to a compact set. However, in contrast to LMI, parameterized LMI (PLMI) feasibility problems involve infinitely many LMI hence are very hard to solve. In this paper, we propose several effective relaxation techniques to replace PLMI by a finite set of LMI. The resulting relaxed feasibility problems thus become convex and hence can be solved by very efficient interior point methods. Applications of these techniques to different problems such as robustness analysis, or linear parameter-varying (LPV) control are then thoroughly discussed.
Automated design space exploration of FPGA-based FFT architectures based on area and power estimation

In this paper a tool aimed at generating fast Fourier transform (FFT) cores targeting FPGA platforms was presented. The tool is able to generate different pipelined architectures of the FFT that provide different points of the design space: from high performance to low area implementations. The user can select the most suitable architecture based on a broad set of configuration parameters, as they are the number of points, sample size, truncation, etc. Moreover, a set of accurate estimators has been implemented to allow the designer an early and quick design space exploration before synthesizing the core. Experimental results validate our approach and provide significant measurements about the accuracy of the estimation and the tool execution time
Shared mutations : Common descent or common mechanism ?

Mutations are a fact of life. Darwin gave mutations, which he called natural variation between individuals, a key role to explain the origin of species. The origin and nature of mutations is one of the most fundamental questions of biology, and are a hot topic in origin debates. If mutations are merely a matter of chance, then the alignment of mutations in distinct species that do not reproduce together qualifies as independent molecular evidence of common descent. We know now, however, that mutations are not utterly chance driven phenomena as the DNA context may determine to a considerable extent where mutations occur. If mutations are modulated because of biophysical mechanisms the question is not whether rules and laws determine where mutations are introduced, but rather – do non-random mutations affect phylogenetic analysis? The DNA analysis of the 1G5 gene in Drosophila melanogaster demonstrates that over 70 percent of the mutations that are shared between subpopulations of species that do not interbreed are independent of common descent. Likewise, over 50 percent of the mutations in the GULO pseudogene that are shared between humans and the great apes are mutational hot spots also found in guinea pigs – they exactly match the mutations that set humans and primates apart from the rat and line up independent of common ancestry. This paper advances a new hypothesis to understand alignment of mutations in homologous DNA sequences of separated species as the result of a common mechanism operating in similar genomes, and provides the first biological evidence that the location where a mutation will occur and the type of mutation (transition or transversion) are largely predetermined. The consequence is that we may not be able to discriminate between common descent and this common mechanism.
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information

In this work the principle of homogeneity between labels and data clusters is exploited in order to develop a semi-supervised Feature Selection method. This principle permits the use of cluster information to improve the estimation of feature relevance in order to increase selection performance. Mutual Information is used in a Forward-Backward search process in order to evaluate the relevance of each feature to the data distribution and the existent labels, in a context of few labeled and many unlabeled instances.
Prosocial and Antisocial Motivation of Adolescents in East and West Germany

In this chapter, we attempt to advance the discussion about the role macro­ social conditions play in individual development, especially in the develop­ ment of pro- and antisocial behavior, In this attempt, we seek to clarify the effects of socialization conditions in the former GDR on the development of social motives, conditions for the development of social motives and inner structure, the development of aspects of pro- and antisocial motivation (tak­ ing into account the roots they may have in common and their situation­ specific activation), and the effects of the drastic political and economic changes follOwing the unification of East and West Germany on the develop­ ment of social motives. This requires clarification of the problems and risks adolescents face during drastic socioeconomic change. Increasing or stabiliz­ ing differences in social motives between East and West German adolescents may constitute a serious obstacle not only to the psychological process of uni­ fication, but also to the process adapting to the massive sociopolitical changes currently taking place. Ideally, these goals would be achieved by means of a longitudinal study, making use of a quasinatural experimental design. Here, however, we present only the data from our first measurement of the social motives of East and West German adolescents, which we will study by focusing on the socialization con­ ditions before the unification.
The Sense of 1PP-Location Contributes to Shaping the Perceived Self-location Together with the Sense of Body-Location

Self-location—the sense of where I am in space—provides an experiential anchor for one's interaction with the environment. In the studies of full-body illusions, many researchers have defined self-location solely in terms of body-location—the subjective feeling of where my body is. Although this view is useful, there is an issue regarding whether it can fully accommodate the role of 1PP-location—the sense of where my first-person perspective is located in space. In this study, we investigate self-location by comparing body-location and 1PP-location: using a head-mounted display (HMD) and a stereo camera, the subjects watched their own body standing in front of them and received tactile stimulations. We manipulated their senses of body-location and 1PP-location in three different conditions: the participants standing still (Basic condition), asking them to move forward (Walking condition), and swiftly moving the stereo camera away from their body (Visual condition). In the Walking condition, the participants watched their body moving away from their 1PP. In the Visual condition, the scene seen via the HMD was systematically receding. Our data show that, under different manipulations of movement, the spatial unity between 1PP-location and body-location can be temporarily interrupted. Interestingly, we also observed a “double-body effect. ” We further suggest that it is better to consider body-location and 1PP-location as interrelated but distinct factors that jointly support the sense of self-location.
TimeGraph: GPU Scheduling for Real-Time Multi-Tasking Environments

The Graphics Processing Unit (GPU) is now commonly used for graphics and data-parallel computing. As more and more applications tend to accelerate on the GPU in multi-tasking environments where multiple tasks access the GPU concurrently, operating systems must provide prioritization and isolation capabilities in GPU resource management, particularly in real-time setups. We present TimeGraph, a real-time GPU scheduler at the device-driver level for protecting important GPU workloads from performance interference. TimeGraph adopts a new event-driven model that synchronizes the GPU with the CPU to monitor GPU commands issued from the user space and control GPU resource usage in a responsive manner. TimeGraph supports two priority-based scheduling policies in order to address the tradeoff between response times and throughput introduced by the asynchronous and non-preemptive nature of GPU processing. Resource reservation mechanisms are also employed to account and enforce GPU resource usage, which prevent misbehaving tasks from exhausting GPU resources. Prediction of GPU command execution costs is further provided to enhance isolation. Our experiments using OpenGL graphics benchmarks demonstrate that TimeGraph maintains the frame-rates of primary GPU tasks at the desired level even in the face of extreme GPU workloads, whereas these tasks become nearly unresponsive without TimeGraph support. Our findings also include that the performance overhead imposed on TimeGraph can be limited to 4-10%, and its event-driven scheduler improves throughput by about 30 times over the existing tick-driven scheduler.
Regulation of B1 cell migration by signals through Toll-like receptors

Peritoneal B1 cells are known to generate large amounts of antibodies outside their residential site. These antibodies play an important role in the early defense against bacteria and viruses, before the establishment of adaptive immune responses. Although many stimuli, including antigen, lipopolysaccharide, or cytokines, have been shown to activate B1 cells and induce their differentiation into plasma cells, the molecular signals required for their egress from the peritoneal cavity are not understood. We demonstrate here that direct signals through Toll-like receptors (TLRs) induce specific, rapid, and transient down-regulation of integrins and CD9 on B1 cells, which is required for detachment from local matrix and a high velocity movement of cells in response to chemokines. Thus, we revealed an unexpected role for TLRs in governing the interplay between integrins, tetraspanins, and chemokine receptors required for B1 cell egress and, as such, in facilitating appropriate transition from innate to adaptive immune responses.
A stable isotope study of zinc kinetics in Irish setters with gluten-sensitive enteropathy

The short-term kinetics of Zn turnover were studied in Irish setters with gluten-sensitive enteropathy and control dogs following intravenous injection of 0·25 mg 96·5% enriched 70ZnCl2. The 70Zn enrichment of serum was found closely to obey two-compartment kinetics and the derived two-compartment decay equation was used to calculate the size and turnover of the two initial rapidly exchanging pools of body Zn. In normal Irish setters isotopic Zn initially equilibrates with a pool (a) of size 1·27 (SD 0·46) μmol/kg and then with a second pool (b) of size 6·83 (SD 1·72) μmol/kg. The fractional turnover of pool (b) was approximately one eighth that of pool (a). Enteropathic dogs showed no reduction in the size of either rapidly exchangeable Zn pool, reduction in serum Zn concentration or abnormality in Zn balance and hence these results do not support the possibility of an underlying Zn deficiency in this disorder.
Money on the move workload, usability and technology acceptance of second-screen atm-interactions

In this paper we compare one single-screen touch interaction with an automated teller machine (ATM) against two alternative second-screen ATM interactions using a smartphone. In an experimental laboratory study, those three ATM interactions were compared by means of workload (NASA-TLX), usability (SEQ, UMUX) and technology acceptance (selected TAM3-scales and additional scales for trust and security) in a randomized, controlled within-subjects design (n=24). In one smartphone ATM interaction the Personal Identification Number (PIN) was entered on the mobile phone, in the other smartphone ATM interaction the PIN was entered on the PIN-pad of the ATM. The results indicate that overall second-screen ATM interaction all interaction done on the mobile phone -- performed best.
Energy detection based cooperative spectrum sensing using fuzzy conditional entropy maximization

An Energy detection based cooperative spectrum sensing for cognitive radio system is proposed in this paper using fuzzy conditional entropy maximization. Instead of using conventional single threshold in energy value, this paper deals with utilization of multiple thresholds to improve the sensing reliability. The basic objective here is to calculate an optimal set of fuzzy parameters that would maximize the fuzzy conditional entropy and Differential Evolution algorithm is used for this purpose. Multiple threshold values are calculated using these optimal parameters. Simulation results highlight improved performance of the proposed scheme by providing high detection probability at low diversity and using less number of samples. Performance results are compared with the conventional cooperative energy detector methods to highlight the significance of the proposed scheme.
Microfoundations of financial economics : an introduction to general equilibrium asset pricing

This textbook takes the reader from the level of microeconomics principles through to modern asset pricing theory. Yvan Lengwiler elegantly links together issues that have in the past been the territory of general economic theorists on the one hand, and financial economists on the other. In a sequence of carefully explained steps, the reader learns how the first welfare theorem is used in asset pricing theory. The book then moves on to explore Radner economies and von Neumann-Morgenstern decision theory, and this section culminates in Wilson's mutuality principle and the consumption-based CAPM. This is then put into a dynamic setting, and term structure models are introduced. The empirical shortcomings of the standard asset pricing models are extensively discussed, as is research from the last twenty years aimed at bringing theory in line with reality. The reader is brought up to date on the latest areas of concern, such as habit formation, the consequences of heterogeneity, demographic effects, changing tax regimes, market frictions, and the implications of prospect theory for asset pricing. Aimed at masters or Ph.D. students specializing in financial economics, the book can also be used as a supplementary text for students of macroeconomics at this advanced level and will be of interest to finance professionals with a background in economics and mathematics. It includes problems (with solutions), and an accompanying website provides supporting material for lecturers.
Early evaluation of sEMG-driven muscle modelling for rehabilitation and assistive applications based on wearable devices

In this paper, a preliminary identification and evaluation activity about the modeling of the muscle behavior during isometric contraction is reported. The muscle model is based on a second order dynamic system taking as input the surface skin electromyographic signals measured by means of a pair of electrodes placed on the skin of a human subject and providing as output the force generated by the muscle, applied to the limbs through the tendon. Experimental tests have been performed to identify an internal non-linear fitting between the measured sEMG signal and the impulsive contractile element force, in the case of isometric contractions of the biceps brachii. The proposed model is therefore exploited to drive a wearable elbow support device to limit the activity of the user's muscle to a maximum desired threshold value. The experimental results show that the proposed model can be effectively used to provide a direct information about the force provided by the muscle and to modulate the support action provided by the wearable device.
Faster-Restart for TCP Friendly Multicast Congestion Control

In this paper we introduce Faster-Restart, an optional mechanism for safely improving sender's transmission rate during the restart in a multicast communication. The key challenge in the design of the mechanism lies in utilizing network information before and after idle periods, reasonably controlling rate increment and therefore reaching the balance between restart and congestion-avoidance states. Aiming at improving restart efficiency and providing better user experience, we design algorithms for restarting rate estimation, packet history reconstruction and rate change control. At the end of this paper, the mechanism will be evaluated using simulation in order to demonstrate the effectiveness and TCP friendliness of TFMCC Faster-Restart.
Quick Count: Hak atas Informasi atau Pembohongan Publik

Right upon information is one of fundamental rights sticking inside everybody. This right is guaranteed in the Indonesian constitution. Even if it has been guaranteed constitutionally, often this right still causes suits by some one or a groupof people preceiving lost or treatening sides also have rationale reason. because of the role of the information disseminator assessed dishonest, not objective or taken some body's side or group of interests" in disseminating public information. even though Mahkamah Konstitusi wins the request of the requester in quick count or survey organization which is issued as an information disseminator, still, people prosecute so that the role they play will not lose the foundationof normal accountability.
Geodesic Gaussian Processes for the Reconstruction of a Free-Form Surface

Reconstructing a free-form surface from 3-dimensional noisy measurements is a central problem in inspection, statistical quality control, and reverse engineering. We present a new method for the statistical reconstruction of a free-form surface based on 3-dimensional cloud point data. The surface is represented parameterically, with each of the three cartesian coordinates (x, y, z) a function of surface coordinates (u, v). This avoids having to choose one euclidean coordinate (say, z) as a “response” function of the other 2 coordinate “locations” (say, x and y), as commonly used in previous euclidean Kriging models of manufacturing data. In the proposed method, parameterization algorithms from the manifold learning and computer graphics literature are applied to find the (u, v) surface coordinates. These are then used as locations in a spatial Gaussian Process model that considers correlations between two points on the surface a function of their geodesic distance on the surface, rather than a function of their euclidean distances over the xy plane. It is shown how the proposed Geodesic Gaussian Process (GGP) approach better reconstructs the true surface, filtering the measurement noise, than when using a standard euclidean Kriging model of the ’heights’, i.e., z(x, y). The methodology is applied to simulated surface data and to a real dataset obtained with a non-contact laser scanner. The parametric surface representation is compatible with computer-aided-design (CAD) models and allows differential-geometry manipulations such as the computation of surface areas.
The Option-iPoD

We present a framework to derive the probability of default implied by the price of equity options. The framework does not require any strong statistical assumption, and provide results that are informative on the expected developments of balance sheet variables, such as assets, equity and leverage, and on the Greek letters (delta, gamma and vega). We show how to extend the framework by using information from the price of a zero-coupon bond and CDS-spreads. In the episode of the collapse of Bear Stearns, option-iPoD was able to early signal market sentiment.
Dynamic Relationship Between Energy and Economic Growth: Evidence from D8 Countries

Energy sector has a vital influence on an economy, on both demand and supply sides. Therefore, energy production and consumption bear great importance for the developing world. The oil embargo of 1970‘s and its impact on major macroeconomic variables throughout the world attracted many economists to examine the relationship between energy and economic prosperity. The researchers have been unable to establish a definitive direction of causality between the two variables. The purpose of this study is to empirically investigate the dynamic relationship between energy use and economic growth in the D8 countries. The evidence gathered through application of VAR Granger Causality, Johansen Cointegration and VECM proves existence of short-run and long-run correlation between energy use and economic development in all countries. The results supported either uni-directional or bi-directional causality in the D8 countries except for Indonesia in short-run where non-causality was established between the two variables.
Half-duplex relaying based on quantize-and-forward

The original compress-and-forward relaying scheme uses the technique of random binning at the relay node and successive decoding at the destination node. Recently, a scheme (termed the quantize-and-forward scheme in this paper) without binning and using joint decoding at the destination node has been proposed, which has been shown to achieve the same rate as the original compress-and-forward scheme. Since the previous work focuses on the so-called full duplex relay network, in this paper, an adaption of it for relay networks with a half-duplex relay is provided. Coding schemes and achievable rate results are presented for discrete memoryless half-duplex relay channels and half-duplex additive white Gaussian noise (AWGN) relay channels. Moreover, slow fading channels are considered, for which outage-related performance measures are evaluated. Specifically, the outage probability and the expected rate of the quantize-and-forward scheme are derived and compared with other well-known schemes. Furthermore, the diversity-multiplexing tradeoff is derived. It is shown that the quantize-and-forward scheme is a more suitable scheme than the compress-and-forward scheme over slow fading channels and it achieves the optimal diversity-multiplexing trade-off of a half-duplex relay channel.
An Interactive Viewpoint on the Role of UML

The role of the Unified Modeling Language (UML) is to model interactive systems, whose behaviors emerge from the interaction of their components with each other and with the environment. Unlike traditional (algorithmic) computation, interactive computation involves infinite and dynamic (late binding) input/output streams. Algorithmic tools and models do not suffice to express the behavior of today’s interactive systems, which are capable of self-reconfiguring and adapting to their environment. Whereas procedural languages may express precise designs of closed processes, UML provides support for the inherently open-ended preliminary steps of system analysis and specification, which are becoming increasingly complex. Interactive systems require dynamic models where interaction has first-class status, and where the environment is modeled explicitly, as actors whose roles constrain the input patterns. UML’s interaction-based approach to system modeling fits well with the encapsulation-based OO approach to implementation. By coupling these approaches, the software engineering process can provide a complete solution to system design and implementation. A theoretical framework for modeling interactive computing can strengthen the foundations of UML and guide its evolution.
Maglev platform networked control: A Profibus DP application

This paper addresses a practical networked based control application. A Profibus DP is considered in order to coordinate a triangular maglev platform. The control of this magnetic levitation process is a complicated system from an control engineering point of view due to its unstable, non-minimum phase and non-linear nature; the difficulty is growing up because the bandwidth limitation and some other problems introduced by the network which consideration is neccesary in order to prepare control, supervision and coordination of local loops tasks. A rude local classical control and a refinated based LMI solution in remote side allow to solve this problem where the packets have a variable time delays compromising performance or even stability. The results shows a good stabilization and reference position accuracy even when the operating point is changing with an external load.