Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast algorithm for mining multilevel association rules

We present two algorithms, AprioriNewMulti and AprioriNewSingle, for data mining multilevel and single level association rules, respectively, in large databases. The database consists of following fields, transaction ID and items purchased in the transaction. The algorithms introduce a new concept called multi minimum support i.e. minimum support varying for different lengths of the item set. Unlike other algorithms, AprioriNewMulti does not depend on the number of levels in the concept hierarchy, i.e., it does not scan the database for each level of abstraction for finding association rules. Scale up experiments show that both of these algorithms have scale linear with the number of customer transactions.
Séparation Autodidacte de Mélanges Convolutifs

Blind equalization and simultaneous separation of convolutive mixtures is a challenging problem. We choose to use the Constant Modulus (CM) criterion since it allows, under multichannel identifiability, to retrieve and equalize one source perfectly. Moreover, CM is quite robust to these conditions and to channel additive noise. In this paper, we propose two approaches to combine CM with a decorrelation procedure in order to retrieve the other sources. In a noise free context, we show how its minima achieve restoration of the separated sources.
TUTORIAL REVIEW Haptic perception: A tutorial

tem, mediated by two afferent subsystems, cutaneous and kinesthetic, that most typically involves active manual exploration (Lederman & Klatzky, 2009). Whereas vision and audition are recognized for providing highly precise spatial and temporal information, respectively, the haptic system is especially effective at processing the material characteristics of surfaces and objects. Here we concentrate on the behavioral research that has addressed the phenomenology and functionality of haptic perception. This excellent behavioral work stands on its own, although where directly appropriate we relate it to work in neuroscience (for more general references, consult, e.g., Kandel, Schwartz, & Jessell, 2000; Squire, 2009). Because this tutorial is necessarily brief, for certain topics we have also chosen to direct the reader to one or more review chapters or books that offer further detailed discussion and extensive bibliographies containing important original sources. The tutorial provides a comprehensive bibliography followed by a list of other suggested review articles, encyclopedia entries, and books about haptics and the sense of touch that the reader may wish to consult.
Bodystorming with Hawkins’s block: Toward a new methodology for mobile media design

Inspired by the intuitive prototyping method employed by Palm Pilot founder Jeff Hawkins, this formative field study recreates and reimagines his generative techniques as a new methodology that could be useful for mobile media designers. Viewed theoretically through an activity theory lens, this approach also integrates bodystorming ideals as a way to externalize and embody user perspectives about the potential of place-based media, in situ, using a proposed National Park Service app, funded by the National Endowment for the Humanities, as an example. Such data gathering, especially early in the design process, could help user-centered projects gather otherwise inaccessible feedback, leading to better designs, through tailored content and interfaces, particularly at the dynamic intersections of digital and physical space.
Additive Internal Model Control: a new Control Strategy

In this paper a new control strategy is proposed: Additive Internal Model Control. This strategy is based in two existing ones: Additive Feedforward Control and Internal Model Control. Internal Model Control is composed of an inverse model connected in series with the plant and a forward model connected in parallel with the plant. This structure allows the error feedback to reflect the effect of disturbance and plant mismodelling resulting in a robust control loop. Additive Feedforward Control consists of introducing an extra controller into an existing loop with the purpose of improving the quality of the control action. The new controller introduced is a feedforward controller, which performs better than the existing controller. In the proposed strategy, Additive Internal Model Control, the new controller added to the control loop is an Internal Model Controller, which is a feedback controller and should outperform a feedforward controller. The new control strategy is tested in a temperature control loop of a reduced scale prototype kiln resulting in improved performance compared to Additive Feedforward Control.
WEB PREDICTION METHOD ON SOCIAL NETWORK ANALYSIS

Web Mining is the integration of information gathered by traditional Data Mining methodologies and techniques with information gathered over the World Wide Web. The World Wide Web today provides users access to extremely large number of Web sites many of which contain information of education and commercial values. Web mining research, in its last 15 years, has on the other hand made significant progress in categorizing and extracting content from the Web. Nowadays the Web has proved to be as a rich and extraordinary data source of information, where multiple domains can be accessed and mined. Mining Web data is referred as Web Mining. Some of the objectives of mining web data include finding relevant information discovering new knowledge from web personalized, web synthesis and learning about individual users. Amongst these the most common use is finding relevant information. In this paper, we represent Web Prediction Method on Social Network Analysis. These techniques can be used for real world applications like market strategies, business intelligence and etc. Social Networks the interest of a single user represents the interest of the whole group. Ontology defines a set of representational primitives with which to model a domain of knowledge or discourse.
SECOND LEVEL PARALLELISM USING SIMD ACCELERATORS ON HETEROGENEOUS MAPREDUCE CLUSTERS

The MapReduce programming model introduced by Google is one of the most successful efforts to cope with the growth of demand for processing large amount of data in large-scale clusters. Although MapReduce programming paradigm has never been easier or more scalable, distributed platforms have changed drastically in recent years. These days, most of the data centers and clusters are equipped with new processing elements such as Multi-Core CPUs, SIMD accelerators particularly, and FPGAs. Unfortunately, current MapReduce frameworks are incapable in harnessing the computational power of these available nodes. In this paper, we propose a new design philosophy to implement MapReduce frameworks in order to comply with above-mentioned multi-level parallelism that exists in modern data centers. We designed a novel architecture to leverage all types of SIMD architectures in distributed platforms. Experiments and evaluations show our novel implementation not only complies with the characteristics of MapReduce applications but also outperforms Hadoop in terms of speedup and throughput.
Heart response due to vertical impulse

Lumped parameter model of seated human body was used to study the heart response to impulsive inputs. Acceleration transfer diagrams show a larger acceleration transfer from the head when compared with those due to impulsive inputs at the torso or pelvis in the high frequency range. At low frequencies the acceleration transfer is the largest from the torso. Peak acceleration transfer for the input at the head, torso, and pelvis occurs at 3, 4 and 2.5 Hz, respectively. Its effect can be viewed at, to attenuate the response in the frequency range (1? 10 Hz).
Particle swarm optimiser with neighbourhood operator

In recent years population based methods such as genetic algorithms, evolutionary programming, evolution strategies and genetic programming have been increasingly employed to solve a variety of optimisation problems. Recently, another novel population based optimisation algorithm - namely the particle swarm optimisation (PSO) algorithm, was introduced by R. Eberhart and J. Kennedy (1995). Although the PSO algorithm possesses some attractive properties, its solution quality has been somewhat inferior to other evolutionary optimisation algorithms (P. Angeline, 1998). We propose a number of techniques to improve the standard PSO algorithm. Similar techniques have been employed in the context of self organising maps and neural-gas networks (T. Kohonen, 1990; T.M. Martinez et al., 1994).
Retinal blood vessel detection and tracking by matched Gaussian and Kalman filters

Detection and tracking algorithms of the blood vessel network in the retinal images are proposed. Two main groups of algorithms are employed for this task, i.e., scanning and tracking. According to the known blood vessel feature, a second-order derivative Gaussian matched filter is designed and used to locate the center point and width of a vessel in its cross sectional profile. Together with this the extended Kalman filter is employed for the optimal linear estimation of the next possible location of blood vessel segment by appropriate formulation of its pattern changing process and observation model. To check the bifurcation in the vessel network, a simple branching detection strategy is implemented during tracking. The proposed algorithms all work well in the whole tracking process and can detect more complete vessel network in the ocular fundus photographs.
Realtime Information System Based on Speech Recognition

Speech recognition is the process of converting spoken words into text. In case of speech recognition the research followers are mainly using three different approaches namely Acoustic phonetic approach, Pattern recognition approach and Artificial intelligence approach. Speech recognition is the process of converting spoken words into text. One of the problems faced in speech recognition is that the spoken word can be vastly altered by accents, dialects and mannerisms. The design of Speech Recognition system requires careful attentions to the following issues: Definition of various types of speech classes, speech representation, feature extraction techniques, speech classifiers, database and performance evaluation.
Visualization of communication system testing logs

Lappeenranta University of Technology Faculty of Technology Management Department of Information Technology Sampo Ahokas Visualization of communication system testing logs Master of Science Thesis 2010 90 pages, 38 figures and 8 tables. Examiners: Professor Joni-Kristian Kamarainen M.Sc. Vesa-Matti Puro
Mechatronic Design of a New Humanoid Robot with Hybrid Parallel Actuation

Humanoid robotics is unquestionably a challenging and long-term field of research. Of the numerous and most urgent challenges to tackle, autonomous and efficient locomotion may possibly be the most underdeveloped at present in the research community. Therefore, to pursue studies in relation to autonomy with efficient locomotion, the authors have been developing a new teen-sized humanoid platform with hybrid characteristics. The hybrid nature is clear in the mixed actuation based on common electrical motors and passive actuators attached in parallel to the motors. This paper presents the mechatronic design of the humanoid platform, focusing mainly on the mechanical structure, the design and simulation of the hybrid joints, and the different subsystems implemented. Trying to keep the appropriate human proportions and main degrees of freedom, the developed platform utilizes a distributed control architecture and a rich set of sensing capabilities, both ripe for future development and research.
Performance enhancements in large scale storage systems

Data center storage systems of the future in Petabyte and Exabyte scale require very high performance (sub millisecond latencies) and large capacities (100s of Petabytes). The evolution both in scale (or capacity) and performance (throughput and I/O Per Second) is driven by the ever increasing I/O demands from the current and Internet scale applications. These large scale storage systems are basically distributed systems having two primary components or clusters. The first component is the storage server cluster which handles the primary I/O or data I/O for the applications. The second component is the meta-data server (MDS) cluster which manages a single global namespace and serves the meta-data I/O. In this thesis, we look in to the problem of performance deficiencies and scalability of these two components in a multi tenanted mixed I/O (sequential and random I/O) workload environment. To overcome the limitations of the conventional storage system architecture, the thesis proposes a 3-tier hybrid architecture utilizing next generation Non-volatile memory (NVM) like Phase change memory (PCM), Hybrid drives and conventional drives. NVM is used to absorb the writes to the NAND Flash based SSD. This improves both the performance and lifetime of the SSD. Hybrid drives are used as a low cost alternative to high speed Serial attached SCSI (Small computer system interface) or SAS drives for higher performance. This is achieved through a light-weight caching algorithm on the Flash inside the drive. On the storage server, we consider the problem of cache partitioning of next generation NVM, data migration optimization with placement across tiers of storage, data placement optimization of Hybrid drive’s internal cache and workload interference among
A gestural account of a child-specific neutralisation in strong position*

The child-specific phenomenon of preferential neutralisation in initial position, which reverses a positional bias attested across adult grammars, represents a long-standing problem for formal models of developmental phonology. In a phonetically based model of phonology, child-specific phonological patterns may emerge as the consequence of physical differences between child and adult speech. This paper presents new case-study data suggesting that a child-specific pattern of fricative neutralisation in initial position has its roots in children's articulatory limitations. Coarticulated fricative and vowel gestures are shown to require independent control of the tongue and jaw, known to be problematic for developing speakers. Substitution errors affecting fricatives are analysed as a phonologised reflex of this phonetic pressure to avoid overlapping vowel and fricative gestures. The positional asymmetry emerges as the consequence of the differing degrees of gestural overlap permitted in syllable-initial vs. syllable-final position, as encoded in the framework of Articulatory Phonology (Browman & Goldstein 1986).
Collisions between birds and windows: mortality and prevention [FULL TEXT]

Bird strikes were recorded at the windows of commercial and private buildings to study the effects of collision mortality on birds, and several experiments were conducted to evaluate methods of preventing collisions between birds and glass panes. Two single houses that were systematically monitored annually killed 33 and 26 birds, respectively. Collisions at one house in the same 4-mo period (September- December) in consecutive years resulted in 26 and 15 fatalities, respectively. At least one out of every two birds were killed striking the windows of these single dwellings. The records from these homes also revealed that window strikes are equally lethal for small and large species. The annual mortality resulting from window collisions in the United States is estimated at 97.6-975.6 million birds. Experimental evidence indicates that complete or partial covering of windows will eliminate bird strikes. If parts of the window are altered, objects or patterns placed on or near the window must be no more than 5-10 cm apart and uniformly cover the entire glass surface. Eliminating bird attractants from the vicinity of windows will reduce or prevent strikes by reducing the number of birds near the glass hazard. If removal of attractants is unacceptable, place them within 0.3 m of the glass surface; birds are drawn to the attractant on arrival and are not able to build up enough momentum to sustain serious injury if they hit upon departure. My experimental results further reveal that the common practice of placing single objects such as falcon silhouettes or owl decoys on or near windows does not significantly reduce bird strikes. Window casualties represent a potentially valuable, but largely neglected source of data capable of contributing information on species geographic distributions, migration patterns, and various other studies requiring specimens.
CO2 Zero-House Design with Mobile Smart Home Technology

Countries in the world as well as Korea are continuing to study the structure of low energy consumption type which enables the building to be operated with a small amount of energy in order to reduce greenhouse gas emission. Therefore, this study conducted the eco-friendly zero-house modeling Based on mobile home network) advanced from the structure of low energy consumption type. It was designed to be self-sufficient in energy by self-producing energy through new renewable energy, applying all sorts of zero-house technology, minimizing the use of energy used in the building, and continuing to monitor and control energy through the mobile appliance
OPTIMUM PERFORMANCE OF THE FAST WALKING HUMANOID SOCCER ROBOT: EXPERIMENTAL STUDY

The optimum performance of the humanoid robot is needed in the game of robot soccer. In order to gain advantage over the opponent, the robot must output the fastest possible walking speed at the minimal expense of on-board power source. We implement the gyro feedback control to the inverted pendulum model to regulate the attitude of the trunk during walking. Through experimental study with the real humanoid robot, we have found the optimum step size the humanoid robot should take in order to walk fast at minimum power consumption. Our robot is able to achieve the optimum speed of 0.18
Teletraffic performance evaluation of microcellular personal communication networks (PCN's) with prioritized handoff procedures

Evaluates four handoff priority-oriented channel allocation schemes. These give priority to handoff calls by reserving channels exclusively for handoff calls. The measurement-based handover channel adaptive reassignment scheme (MHAR-A) exclusively uses reserved handover channels for newly originated calls if a certain criterion is satisfied. All four schemes studied differ from the conventional guard channel-based handover priority-oriented channel allocation scheme. To study the schemes, a personal communication network (PCN) based on city street microcells is considered. A teletraffic simulation model accommodating a fast moving vehicle is developed, and the performance parameters are obtained. The performances of all four schemes are compared with the nonpriority scheme and the conventional guard channel-based handover priority-oriented channel allocation scheme. It was found that some of the channel allocation algorithms studied improved the teletraffic capacity over the nonpriority and the conventional guard case. Also, the probability of new call blocking and carried traffic was improved for three of the schemes when compared to the conventional guard scheme. The MHAR-A scheme did not perform up to expectation. Nevertheless, it can be used to finely control the communication service quality equivalent to the control obtained by varying the number of handoff channels in a fraction of one. Increasing the number of reserved handover channels in fraction of one can never be achieved in the conventional guard channel-based handover priority-oriented channel allocation scheme.
Linguistic perception and second language acquisition : Explaining the attainment of optimal phonological categorization

In Linguistic Perception and Second Language Acquisition, Paola Escudero provides a detailed description, explanation, and prediction of how optimal second language (L2) sound perception is acquired, and presents three empirical studies to test the model's theoretical principles. The author introduces the L2 Linguistic Perception (L2LP) model, a new formal and comprehensive proposal which integrates, synthesizes, and improves on previous studies, and therefore constitutes the most explanatorily adequate account of the whole process of L2 sound acquisition. More specifically, it proposes that the description of optimal L1 and L2 perception allows us to predict and explain the initial state, the learning task, and the end state that are involved in the acquisition process. It advances the hypothesis of Full Copying which constitutes a formal linguistic explanation for the prediction that learners will initially manifest an L2 perception that matches their optimal L1 perception. It also predicts that the degree of mismatch between perception grammars will define the number and nature of the learning tasks. With respect to L2 development, it posits that learners will either need to create new perceptual mappings and categories, or else adjust any existing mappings through the same learning mechanisms that operate in L1 acquisition. Finally, the model's hypotheses of separate perception grammars and language activation predict that learners will achieve optimal L2 perception while preserving their optimal L1 perception. This book addresses questions of speech perception, phonetics, phonology, psycholinguistics, and language acquisition, and should therefore be of interest to researchers working in any of these areas.
Researching Teacher Education in New Times

Teacher education and research into teacher education continues to face a climate of public and political scrutiny. In Australia, the Top of the class report documents no fewer than 100 inquiries, reports and political investigations of both teaching and teacher education that have been conducted over the past 20 years (House of Representatives, 2007). In international contexts, reviews of teacher education acknowledge that the teaching profession is facing a changing future and we still have much to learn about preparing teachers of the future (Cochran-Smith & Zeichner, 2005). Of no less concern to teacher education research, is the increasing diversity of both teachers and the students they teach. Zumwalt and Craig (2005) note increasing diversity within the teaching profession itself, while other reports have noted a growing dissimilarity between the teaching workforce and the students that they teach (House of Representatives, 2007). This dissimilarity reflects differing cultural and language backgrounds, while other research has noted ‘‘generational’’ differences in proficient use of technologies and emerging information and communication technologies (Mayer, 2005; Selwyn & Gorard, 2002). These discrepancies between the teachers of the future and the students they will teach parallel the changing face of teacher education students and the teacher education classes in which they study. As the papers in this issue demonstrate, teacher education research in new times is concerned with the political and epistemological discourses surrounding teacher education, and with the pedagogy and practice of teacher education in diverse teacher education classes. The first paper in this volume continues on from the recent special issue: ‘‘Robust hope in teacher education’’. In this paper Michael Singh examines the Top of the class report using five analytic strategies suggested by Raymond Williams. By employing this approach Singh aims to ‘‘make hope practical and robust’’ for beginning teacher education through research and analysis. Robbie Johnston critiques dominant discourses underpinning Australian national and state curriculum documents pertaining to studies of society and environment and illustrates how they shape pre-service teacher pedagogical decisions. She argues Asia-Pacific Journal of Teacher Education Vol. 35, No. 4, November 2007, pp. 329–331