Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiuser Detection basedon aRobust Approach of Principal-Factor MethodwithDetermination of theNumber ofSources

Inthis paper, wefocus ontheproblems ofarray signal processing formultiuser detection. Formultiuser detection, wepropose anewapproach ofnoisy blind source separation withdetermination ofthenumberofsources. Our proposed approach isapractical technique todetect hidden sources fromnoisyarraysignals, whichhavewideand diverse rangeofamplitude andoutliers. Inorderto accomplish thesourcedetection, we developed a robust approach ofprincipal-factor method, whichisextended by theprincipal component analysis (PCA)andthestandard principal-factor method(PFND. Moreover, across-validation technique isapplied todetermine thenumberofsources. The computer simulation results illustrate theperformance and effectiveness ofourproposed approach.
Antenna pattern synthesis: a new general approach

The antenna pattern synthesis problem is of the utmost importance in almost every kind of antenna applications. Therefore, a very large number of contributions have appeared on this subject. But virtually all of them deal with simplified versions of the complete synthesis problem, wherein the degrees of freedom available in principle are strongly reduced, and/or idealized design criteria or requirements are considered. In this paper we present a formulation which allows us to overcome this fragmentation of the synthesis problem. A clear and direct description of the performance actually required by the antenna and a representation of the radiating properties of the antenna as a system allows us to formulate the synthesis problem as an intersections finding problem, i.e., to find a common element between a number of sets, each one containing elements fulfilling part of the requirements. This allows a completely general and flexible formulation of the problem, independent of the actual structure of the antenna. Then the practical implementation of this formulation is widely discussed, showing how an efficient solution procedure can be devised. The implications of the well-known ill-conditioning of the synthesis problem are also discussed. In order to show how the approach works and to assess its flexibility and power, a couple of significant examples are included, namely, a phase-only reconfigurable array and a shaped reflector synthesis. These examples are unconventional since no a priori choice of the intensity distribution (for the array case) or of the feed cluster (for the reflector case) is required. The method presented is able to exploit all the available degrees of freedom in order to fulfill the design requirements. >
Simultaneous design method of the sensory morphology and controller of mobile robots

This paper proposes a method that automatically designs the sensory morphology of a mobile robot. The proposed method employs two types of adaptations -ontogenetic and phylogenetic- to optimize the sensory morphology of the robot. In ontogenetic adaptation, reinforcement learning searches for the optimal policy which is highly dependent on the sensory morphology. In phylogenetic adaptation, a genetic algorithm is used to select morphologies with which the robot can learn tasks faster. Our proposed method is applied to the design of the sensory morphology of a line-following robot. We carried out simulation experiments to compare the design solution with a hand-coded robot. The results of the experiments revealed that our robot outperforms a hand-coded robot in terms of the line-following accuracy and learning speed, although our robot has fewer sensors than the hand-coded one. We also manufactured a physical robot using the design solution. The experimental results revealed that this physical robot uses its morphology effectively and outperforms the hand-coded robot.
Interactive reservoir simulation

This paper describes a system that allows engineers to monitor and control a reservoir simulation run during its execution. The system consists of a 3D, three-phase black-oil reservoir simulator running simultaneously with an interactive graphics pre- and postprocessor. Previous authors have described systems that allow monitoring of job execution with simultaneous graphics displays; the system described here is unique in that the engineer can modify simulator and well-control parameters during the execution. While the system will be helpful in detection and correction of time-dependent data problems, it will be very useful in optimizing reservoir management decisions in future performance projections. The system is implemented on an IBM-compatible 486 microcomputer with commercially available multitasking software, although it can be implemented easily on any microcomputer or workstation capable of multitasking. The authors show that implementation of the system required only a moderate amount of modification of the pre- and postprocessor and even less modification of the reservoir simulator.
2-(1-Naphthyl)cyclohexyl 3-furancarboxylate

The crystal structure of the title compound, C21H20O3, contains mol­ecules separated by normal van der Waals distances. The cyclo­hexyl ring adopts a classical chair conformation, while the furan and naphthyl rings are individually planar. The molecular dimensions are as expected.
A Multi-Classification Method Based on Gaussian Processes

Gaussian processes (GPs) is a very promising technology that has been applied both in the regression problem and the classification problem. In recent years, models based on Gaussian process priors have attracted much attention in the machine learning. Binary (or two-class, C=2) classification using Gaussian process is a very well-developed method. In this paper, a Multi-classification (C>2) method is illustrated, which is based on Binary GPs classification. A good accuracy can be obtained through this method. Meanwhile, a comparison about decision time and accuracy between this method and Support Vector Machine (SVM) is made during the experiments.
Javelin: Internet‐based parallel computing using Java

The JAVM (Java Astra Virtual Machine) project is about harnessing the immense computational resource available in the Internet for parallel processing. In this paper, the suitability of Java for Internet-based parallel computing is explored. Next, existing implementations of systems that make use of Java for network parallel computing are presented and categorized. A critique of these implementations follows. Basing on the critique, the requirements and goals of an effective parallel computing system in the Internet environment are singled out. These serve as the blueprint for the development of the JAVM system. Its infrastructure and features, namely ease of use, heterogeneity, portability, security, fault tolerance, load balancing, scalability and accountability, are discussed. Lastly, experimental results based on the running of several parallel applications in the JAVM environment are presented. Basing on the results, the kind of parallel applications that would be well suited for running in JAVM are identified.
Fusion of full-waveform lidar and imaging spectroscopy remote sensing data for the characterization of forest stands

Full-waveform small-footprint laser scanning and airborne hyperspectral image data of a forest area in Germany were fused to get a detailed characterization of forest reflective properties and structure. Combining active laser scanning data with passive hyperspectral data increases the information content without adding much redundancy. The small-footprint light detection and ranging (lidar) waveforms on the area of each 5 m × 5 m HyMap pixel were combined into quasi-large-footprint waveforms of 0.5 m vertical resolution by calculating the mean laser intensity in each voxel. As exemplary applications for this data set, we present the estimation of crown base heights and the ease of displaying vertical and horizontal slices through the three-dimensional data set. As a consequence of the identical geometry of the voxel bases and the hyperspectral image, they could be joined as a multi-band image. The combined spectra are well suited for interpretations of pixel content. In a test classification of tree species and age classes, the joint image performed better than the hyperspectral image alone and also better than the hyperspectral image combined with lidar percentile images.
Towards Bayanihan: building an extensible framework for volunteer computing using Java †

Project Bayanihan seeks to develop the idea of volunteer computing, which allows people to very easily pool together their computers′ processing power and co-operate in solving parallel problems. While the idea of volunteer computing offers many exciting new prospects in global supercomputing and collaboration, its realization involves many challenging research issues that need to be addressed. In this paper, we present a flexible object-oriented framework using Java and HORB that allows programmers to experiment with different approaches to these issues by simply extending and interconnecting basic library components. We also present results from a distributed web-crawling application written using the framework. © 1998 John Wiley & Sons, Ltd.
Reacher in Users Recommended of Social Data

We discuss some key techniques associated with integrating user social data recommendation into entity search engine, which can provide entity search engine more accurate information and make up for automatically fetching information on Web. The goal of social data recommendation is to make search engine become a content provider, and solve some challenges that traditional architecture of search engine has faced with, such as limited resources, accurate search, etc. To this end, we describe the storage format of the user social recommended data and submission methods for them. For the purpose of fusing this structural information into entity search engine, we present formal definitions related to Web entity fusion, and give several important fusion operators, and discuss their properties. Finally, we propose a Web entity fusion algorithm, which exploits some techniques related to natural language processing such as sentence similarity computation and sentence fusion. Our experimental results show that the proposed algorithms are effective.
The Impact of Blended Learning on Student Outcomes: is there room on the horse for two?

Any survey of research about Information and Communication Technologies (ICT) in learning reveals a contested field. There is recognition of the enabling role of technology amidst enthusiastic calls for its widespread adoption, and there are sceptical responses to its implementation. However, little research exists regarding the impact of ICT on the achievement of student outcomes in specific undergraduate courses, particularly how student utilisation of varying modes within blended provision relates to their achievement of course outcomes. It was the purpose of this comprehensive study involving 72 final-year undergraduate teacher education students to understand the relationship of access mode within blended provision to student attitude and outcome in a specific situation. Findings reveal that ICT access formats by themselves are of limited benefit in achieving course outcomes. Indeed, in some instances, ICT modes can be seen to negatively affect student performance due to some misplaced confidence in the media that provides the material. The challenge then becomes one of designating the inter-acting roles of varying access modes in order to try to maximise outcomes, and this paper offers several possible strategies. The implications of this study are significant because of the failure of designated modes of access to achieve the expected outcomes in a senior undergraduate course. The study also provides some insight into the complexities of the blending process in attempting to incorporate new technology into current teaching situations, and in trying to identify practical directions to take in advancing the process of technological teaching.
Recovery Mutual Scheduling: A Decentralized Approach for Fault Recovery Mechanism in the Grid Computing

Grid computing is that the major analysis space wherever the distributed resources square measure used. In programming, the largest challenge is to amass optimum answer for the submitted jobs within the grid. For giant subtask need time intense computation, this paper introduces a replacement fault recovery mechanism into grid systems associated an thorough study on grid service. We have a tendency to propose a replacement algorithmic program on considering these factors. In our planned algorithmic program Recovery Mutual programming, a catalog is employed which is able to be responsive in accumulation of saving its state sporadically. Consequently the turnout of a system is exaggerated with the localized approach.
Pseudo-random sequence generators with improved inviolability performance

A novel stream cipher based on the popular linear feedback shift register (LFSR) with a dynamic feedback network controlled by a decoder circuit is presented. The proposed circuit can be employed efficiently in cryptographic applications owing to its improved inviolability property compared to traditional LFSRs. Indeed, although the proposed topology and traditional LFSRs have similar statistical properties, it exhibits a very high linear complexity (LC) and the sequences generated from the novel topology are much more difficult to be predicted. The proposed cipher is described and design criteria to choose the key of the system are also given. As an example, a 16-bit length generator was implemented on a Xilinx FPGA and experimentally verified using the most common statistical and randomness tests. Then it was also designed in standard cell AMS technology. Moreover, to test the generator's inviolability, a novel methodology, based on a multi-perceptron neural network, was also developed and is also presented.
RANKING ESCO DE AGENCIAS DE PUBLICIDAD: DESCRIPCIón y RESULTADOS

This paper presents and describes the ESCO Ranking of advertising agencies . The objective of this tool is to assess the quality of the agencies, based on their creative products and a rigorous evaluation of the various prizes received and the prestige of the festivals that granted them. For that purpose, festivals were classified into 4 categories based on their national and international importance and a sample was selected. A two-year period was considered for the ranking to ensure a balance of continuity and of innovation in each edition. This work aims at covering a gap in Spain as compared with other countries by providing not only a classification of the best advertising agencies but also an analysis of the advertising industry in Spain. The results of the 2012 edition include 197 agencies, 611 advertisements and 359 advertisers.
Comment on `effect of external circuit on Gunn oscillation'

The authors comment on an article by T. Ikoma and H. Yanai, (see abstr. B4307 of 1968) which proposed a model for the quenched-dipole mode of operation of Gunn effect devices. They seek to correct errors related to current density equations. The authors of the first article reply.
Two Indolotryptanthrin Alkaloids from Cephalantheropsis gracilis

Two alkaloids of indolotryptanthrins, cephathrindole A (1) and B (2), were isolated from Cephalantheropsis gracilis. The structure of cephathrindole A was confirmed by X-ray crystallography whereas cephathrindole B was ascertained by spectroscopic analysis (1D 1 H- and 13 C-NMR as well as 2D COSY, HMQC, HMBC, and NOESY).
TCP flow control based on an instantaneous model

With TCP the network congestion is controlled by adjusting the transmission rate through congestion window (cwnd). The cwnd either increases or decreases depending on ACKs (acknowledgements), which reflect the status of link's buffer queues. This TCP dynamics has been modelled mathematically with various queue management principle of the link. However, the existing results are mostly average dynamic models. But, we raise a question about the validity of existing average models. The dynamics of TCP can be modelled by switching between the two sub-dynamic models: dynamics of congestion avoidance and dynamics of fast recovery. The existing average model would be valid only if one parameter groups of the vector fields for two sub-dynamic models commute. The commutativity is checked by Lie bracket operation, but the result shows that they are not commutative. We propose an instantaneous model for TCP congestion control algorithm with the use of a switching function. This proposed model describes the dynamic behavior of cwnd and queue length versus time. We check the validity of the model by comparing simulation result with that of ns simulator.
Transformational Leadership: Practicing What We Teach in the Management Classroom

In a Hong Kong study, the author examined the effect on undergraduate business students of university business school instructors' exhibiting a transformational leadership style in the classroom. Transformational leadership is one of the central concepts in management, and research has indicated that a positive association exists between this style of leadership and desirable leadership outcomes. The author examined this relation in a university classroom context, and the results indicated that transformational classroom leadership was significantly and positively associated with desirable classroom leadership outcomes such as extra effort.
Two-hop wireless channel access protocol with busy tone

A new wireless channel access protocol is proposed accommodating multiple access points (APs) and those nodes not directly accessible from any AP by introducing relaying capability. Hitherto, a scheme was proposed to deal with the similar situations, assuming a HiperLan/2. Here, we propose a two-hop wireless channel access protocol assuming a point coordination function (PCF) of an IEEE802.11 infrastructure mode and confirm that the throughput is improved by the use of busy tone signaling.
Automated Likelihood Based Inference for Stochastic Volatility

In this paper the Laplace approximation is used to perform classical and Bayesian analyses of univariate and multivariate stochastic volatility (SV) models. We show that im- plementation of the Laplace approximation is greatly simplified by the use of a numerical technique known as automatic differentiation (AD). Several algorithms are proposed and compared with some existing methods using both simulated data and actual data in terms of computational, statistical and simulation efficiency. It is found that the new methods match the statistical efficiency of the existing classical methods and substantially reduce the simula- tion inefficiency in some existing Bayesian Markov chain Monte Carlo (MCMC) algorithms. Also proposed are simple methods for obtaining the filtered, smoothed and forecasted latent variable. The new methods are implemented using the software AD Model Builder, which with its latent variable module (ADMB-RE) facilitates the formulation and fitting of SV mod- els. To illustrate the flexibility of the new algorithms, several univariate and multivariate SV models are fitted using exchange rate data.
Personal Spaces in Public Repositories as a Facilitator for Open Educational Resource Usage.

Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OERs) into teaching practices and to gain more insight into different types of OER user behaviors by analyzing the users' behaviors in the Bookmark Collection of MERLOT (a personal space, formerly known as Personal Collection), along with other community activities in that repository: writing comments and peer reviews, as well as sharing learning materials, learning exercises, and contents that were built with the content builder. In addition, using a data mining methodology, most active Bookmark Collection contributors (N=507) were classified into clusters of users with the same patterns of activity. Three clusters resulted, which gave insights into different types of contributor behavior. Furthermore, it was found that personal spaces are applicable for a variety of uses with diverse goals. Members create personal spaces for their own use, while allowing others to view and copy; or for other users. Personal space encourages the reuse of learning materials and enables the construction of unique learning processes that suit the learner's needs. They may offer the possibility of personalizing public repositories and promoting the reuse of OERs.
Redundancy resolution in tasks with parameterizable uncertainty

Redundant robots motion planning and control in uncertain task is addressed by model-based approach. Instead of controlling and adapting the environment to the robot or applying a complex visual servoing system, we model the redundancy resolution on the parameter spaces that quantify uncertainties of the task. The modeling tool is a successive approximation (SA). It provides very advantageous properties: small computational effort and small model size, accurate output, extrapolation, and generalization across the parameter set obtained by random addressing of the model. The task discussed is press loading with typical two-dimensional uncertainties in pick-up and unloading locations. The robot used is a 4-DOF planar robot. The SA-based models of redundancy resolution in a 2D parameter spaces are highly efficient: for more than 30 times less computational efforts resulted in a zero end-point errors, regardless of the task uncertainty.
A robotic tool for studying locomotor adaptation and rehabilitation

This paper describes a robotic device designed to measure and manipulate human stepping on a treadmill. The device makes use of a parallel mechanism and a moving coil type linear motor to achieve good backdriveability and force generation capability. We demonstrate that the device does not substantially impede stepping when attached passively to a subject, and can induce motor adaptation and after-effects in a simple force-field experiment.
UAV Conflict Detection and Resolution for static and dynamic obstacles

Conflict Detection and Resolution (CD&R) for Unmanned Aerial Vehicles (UAVs) has become important consideration with remarkable development of sensor technology and autonomous control system. Since CD&R deals with safety of UAVs and aircraft, it has to be validated by rigorous analytical verification. This paper investigates the application of differential geometry to UAV CD&R algorithm for non-cooperating intruders such as static and dynamic obstacles. Two-dimensional geometry is used to detect a single conflict and multiple conflicts, and find the condition for resolution guidance. The existence and stability of the conflict resolution, which controls either heading angle only or heading angle and ground speed simultaneously, are then analysed. Whilst there exist region which the UAV can not resolve due to its physical and operational limitations as every CD&R algorithms, the resolution guidance can find the region and prove local stability using Lyapunov theory. The analysis and resolution guidance design do not rely on local linearisation and can be shown that the derived conflict resolution is equivalent concepts to Proportional Navigation Guidance (PNG) and Traffic alert and Collision Avoidance Systems (TCAS). The paper finishes with numerical simulation in two dimensions, illustrating the performance and properties of the proposed CD&R algorithm.