Miracle-dz/UniFAR-FTUs huggingface dataset:
Narrowband land-mobile radio networks

VHF and UHF propagation in land-mobile communication probability of signal outage threshold crossing rate and average (non-) fade duration average bit error rate in CW communication random multiple access to mobile radio channels models for receiver capture in mobile random-access networks spatial distributions of traffic in mobile slotted ALOHA networks frequency re-use in wide-area packet-switched networks discussions and conclusions appendices.
Proteus: an adaptable presentation system for a software development and multimedia document environment

The many different documents produced by a large software project are typically created and maintained by a variety of incompatible software tools, such as programming environments, document processing systems, and specialized editors for non-textual media. The incompatibility of these tools hinders communication within the project by making it difficult to share the documents that record the project's plans, design history, implementations, and experiences. An important factor underlying this incompatibility is the diversity of presentation models that have been adopted. Each system's presentation model is well-suited to the document types and media it supports, but is difficult to adapt to other types and media. This dissertation describes a new model of presentation that is designed to be applied to a diverse array of documents drawn from many different media. The model is based on four simple services: attribute propagation, box layout, tree elaboration, and interface functions. Together, these services are powerful enough to support the creation of many novel and visually rich document presentations. Furthermore, because the model is based on a new understanding of the fundamental parameters defining media, the four services can be adapted for use with all media in common use. The utility of this presentation model has been explored through the design and implementation of Proteus, a system for handling presentation specifications that is part of Ensemble, an environment for developing both software and multimedia documents. Proteus interprets specifications that describe how the four presentation services should be applied to individual documents. Proteus has a medium-independent kernel that provides the specification interpreter and runtime support for the four presentation services. The kernel is adapted to different media via the addition of a shell specifying the medium's parameters. Proteus's adaptability significantly eases the task of extending Ensemble to support new media. Proteus is also an important part of Ensemble's support for multiple, synchronized presentations. In summary, this research develops a new, medium-independent model of presentation and shows that a specification-driven presentation system based on this model can form the basis of a software environment supporting multiple presentations and a variety of media.
A bayesian approach to intention-based response generation

The statistical approach to natural language generation of overgeneration-andranking suffers from expensive over generation. This article reports the findings of response classification experiment in the new approach of intention-based classification-andranking. Possible responses are deliberately chosen from a dialogue corpus rather than wholly generated, so the approach allows short ungrammatical utterances as long as they satisfy the intended meaning of the input utterance. We hypothesize that a response is relevant when it satisfies the intention of the preceding utterance, therefore this approach highly depends on intentions, rather than syntactic characterization of input utterance. The response classification experiment is tested on a mixed-initiative, transaction dialogue corpus in the theater domain. This article reports a promising start of 73% accuracy in prediction of response classes in a classification experiment with application of Bayesian networks.
An Improved Cotton Leaf Spot Disease Detection using Proposed Classifiers

A machine learning approach based on digital cotton leaf disease classification and retrieval can be achieved by extracting features from its leaf image. Various approaches has been used to classify the class of leaf diseases based on the crops features. In this investigation crops are classified on the foundation of shape, color and texture with SVM, BPN, Fuzzy along with Edge, CMYK features and GA feature selection are combined for training and testing the cotton diseases dataset. Then extract edge, color and texture features using proposed Enchance Particle Swarm Optimization (EPSO) feature selection method adopts Skew divergence features. Variance has been used to recognize the wounded leaf part. After that Proposed classifiers are Cross Information Gain_Deepforward Neural Network, Cross Information Gain_Minimal Resources Allocation used to predict the disease. The overall system Performance evaluation proved the effectiveness of the proposed techniques. Finally the classification accuracy of this system was calculated.
Pengaruh Bauran Pemasaran (Produk, Harga, Tempat dan Promosi) Terhadap Kepuasan Pelanggan Berubah Menjadi Loyalitas Pelanggan Pada Coldplay Juice Soji

Produk minuman Coldplay Juice SOJI merupakan produk minuman yang baru dikalangan konsumen, permasalahan yang terjadi yakni tingkat bertahannya suatu produk baru yang hanya sebentar, dikarenakan kurangnya loyalitas konsumen terhadap suatu produk baru. Pemasaran terkait bauran pemasaran berdasarkan pada kesesuaian konsumen (produk, hraga, tempat dan promosi) berpengaruh terhadap kepuasan pelanggan berubah menjadi loyalitas pelanggan. Tujuan penelitian ini adalah untuk menganalisis tentang pengaruh baurann pemasaran (produk, harga, tempat dan promosi) terhadap kepuasan pelanggan pada Coldplay Juice SOJI dan menganalisis kepuasan pelanggan berubah menjadi loyalitas pelanggan pada Clodplay Juice SOJI. Penelitian menggunakan metode analisis Partial Least Square (PLS), Metode Partial Least Square (PLS) menghasilkan bahwa variabel produk, tempat dan promosi memiliki pengaruh terhadap kepuasan pelanggan dan loyalitas pelanggan dengan nilai p-value kurang dari 0.01, sedankan untuk variabel harga tidak berpengaruh secara signifikan terhadap kepuasan pelanggan dan loyalitas pelanggan yang ditunjukkan dengan nilai p-value lebih dari 0.05. R-square pada penelitian ini menunjukkan angka 0.67 pada (Y1) memiliki arti bahwa pengaruh variabel produk, harga, tempat dan promosi terhadap kepuasan pelanggan adalah 67% dan sisanya 23% dipengaruhi oleh variabel lain diluar model penelitian ini. R-square pada (Y2) menunjukkan angka 0.57 yang artinya bahwa variabel produk, harga, tempat, promosi dan kepuasan pelanggan adalah 57% dan 43% dipengaruhi oleh variabel lain diluar model penelitian ini.
Doing qualitative research: a practical handbook

cultural issues to be taken more seriously (33), whereas aboriginal people in Australia are not. These writing issues aside, Part II, which comprise more than half of the total book, is a very solid, strong, widely readable and useful account of design issues that typically arise in qualitative research in diverse sites and settings, including cultural settings that are not necessarily ‘international’. It comprises five chapters of approximately 20 pages each, the first two of which are devoted to ‘Getting started’. The balance of the chapters in Part II are accurately titled: ‘Doing the fieldwork’, ‘Analysing the data’ and ‘Writing up and disseminating the findings’. My only minor quibble is the use of ‘Worked examples’ at the end of the analysis chapter and an unnecessarily long (five page) ‘Key extract’ in the writing up chapter on ‘Thick description’ from The interpretation of cultures by Clifford Geetz. The final and very brief Part III attempts to identify sources of support for qualitative research. The reference and computer software list in this 2009 book is dated (80% of the references are over 15-years-old) and the software list refers to ‘New (October 2004) freeware’. The provocative ‘pearl’ I was perhaps seeking when I chose to review this book from a list of titles came very late (in fact, in the ‘Notes’ section, on page 138). It is the quote from Thomas (2002) that ‘academics have since the mid-Sixties become so preoccupied with the weighty matters of theory and theorising . that they no longer concern themselves with the mundane matters of reform and social justice’. I sense that Stephens is concerned with what Hammersley (1999, cited on page 11) called ‘the four ‘unhelpful’ tendencies operating within qualitative research: empiricism, instrumentalism, postmodenism and ethicism’. As Stephens puts it, instead of concerning ourselves with a rationale for the adoption of a quantitative approach (in international or other research settings), it is more useful to consider ‘the purposes of the research inquiry in relation to the choice of methodology, and then to keep a watchful eye on the various pitfalls like those suggested by Hammersley’ (12).
The Processing of Melodic and Temporal Information: Independent or Unified Dimensions?

One issue of theoretical debate that often arises within the field of music cognition concerns the relationship between a melody's pitch and temporal information. Some argue these are encoded as independent dimensions within the cognitive system while others claim they are encoded in a unified fashion. This issue is assessed here by reviewing the results of three studies that systematically manipulated subjects' selective attending to the temporal and/or pitch properties of melodies and then examined the subsequent remembering of these structural dimensions. In general, the results indicate that pitch and temporal information can be encoded either in an independent or unified fashion but depends on the inherent structure of a melody as well as an individual's degree of learning experience. This in turn has implications for both the perception and remembering of melodies as well as duration judgments of a melody's total time span.
The Cambridge handbook of endangered languages

It is generally agreed that about 7,000 languages are spoken across the world today and at least half may no longer be spoken by the end of this century. This state-of-the-art Handbook examines the reasons behind this dramatic loss of linguistic diversity, why it matters, and what can be done to document and support endangered languages. The volume is relevant not only to researchers in language endangerment, language shift and language death, but to anyone interested in the languages and cultures of the world. It is accessible both to specialists and non-specialists: researchers will find cutting-edge contributions from acknowledged experts in their fields, while students, activists and other interested readers will find a wealth of readable yet thorough and up-to-date information.
Nonlinear signal processing using neural networks: Prediction and system modelling

The backpropagation learning algorithm for neural networks is developed into a formalism for nonlinear signal processing. We illustrate the method by selecting two common topics in signal processing, prediction and system modelling, and show that nonlinear applications can be handled extremely well by using neural networks. The formalism is a natural, nonlinear extension of the linear Least Mean Squares algorithm commonly used in adaptive signal processing. Simulations are presented that document the additional performance achieved by using nonlinear neural networks. First, we demonstrate that the formalism may be used to predict points in a highly chaotic time series with orders of magnitude increase in accuracy over conventional methods including the Linear Predictive Method and the Gabor-Volterra-Weiner Polynomial Method. Deterministic chaos is thought to be involved in many physical situations including the onset of turbulence in fluids, chemical reactions and plasma physics. Secondly, we demonstrate the use of the formalism in nonlinear system modelling by providing a graphic example in which it is clear that the neural network has accurately modelled the nonlinear transfer function. It is interesting to note that the formalism provides explicit, analytic, global, approximations to the nonlinear maps underlying the various time series. Furthermore, the neural net more » seems to be extremely parsimonious in its requirements for data points from the time series. We show that the neural net is able to perform well because it globally approximates the relevant maps by performing a kind of generalized mode decomposition of the maps. 24 refs., 13 figs. « less
Consilience: The Unity of Knowledge

When the red harvester ant is threatened, nestmates rush to its assistance. The message is a chemical one. Distress is communicated and help summoned by the potential victim ejecting a tiny cocktail of alkanes and terpenoids. Professor E 0 Wilson, who made this discovery, is a distinguished zoologist whose writings have twice been awarded Pulitzer Prizes. His interests extend far beyond entomology, however. Why should human communication be qualitatively different from that of the ant, in being achieved by definable, physicochemical processes? And, if this is the case, surely the same must be true of other social phenomena? Having conceded so much, on what grounds can we exclude other products of human activity such as the social sciences, arts, humanities and ethics? In a mechanistic universe, the whole of human civilization is the ultimate product of the interaction between genes and environment, incredibly complex, as Wilson admits, but susceptible to fundamentally the same analytic techniques as communication in the harvester ant. Consilience (literally, a 'jumping together') is the notion that a common groundwork of explanation applies not only to the sciences but also to the arts, ethics and religion. In his book Consiliencel Wilson applies a combination of broad learning and a style of baroque exuberance to put the case for such a unity of knowledge. Wilson is thus, as he makes clear, a child of the Enlightenment, paying homage to Bacon and Newton but most of all to Condorcet, who trod the same intellectual path (and who came to grief in the Revolution for reasons probably not unrelated to his philosophy). He mourns the triumph at the end of the eighteenth century of revelatory religion fearful of the outcomes of science, and most of all of Romanticism although regrettably overlooking the
A genetic algorithm to design error correcting codes

During the digital information transmitting through a channel, practically inevitable errors due to the presence of noise and to other factors are produced, such as interferences, echoes, etc. Then, it is necessary to establish ways, if not to avoid the errors, at least for be able to recognize its presence and, if it is possible, to correct them. Correcting of some manner the message in the receiver side cheapens the price of a transmission process, therefore otherwise there would be that to repeat the message when is corrupted along the way. In these cases the use of error correcting codes is suitable. In the actual communication systems the control of error is performed by means of the application of special codes that add redundancy. This aggregate redundancy permits to detect and/or to correct the errors occurred during the data transmission. In this work we center us in the binary linear block codes. The problem to find an error correcting code that corrects a maximum number of errors given is a NP-complete problem. By this reason, we have undertaken this problem by means of a genetic algorithm. In this article we expose the implementation and results of the genetic algorithm, having obtained some good values compared with other works.
Classifying Images: Criteria for Grouping as Revealed in a Sorting Task

In the last few decades, technologies such as video-recording and computer-based graphics packages have made images and tools for their creation widely accessible. Advances in technology have made digitization and transmission of images over long distances possible using both network and satellite technology, and these factors have produced a growing number of collections of images stored in digital format. However, providing means of access to the visual content of images has not kept pace with the advances in their production, storage, and transmission.
Fuzzy models for pattern recognition

FUZZY sets were introduced in 1965 by Lotfi Zadeh as a new way to represent vagueness in everyday life. They are a generalization of conventional set theory, one of the basic structures underlying computational mathematics and models. Computational pattern recognition has played a central role in the development of fuzzy models because fuzzy interpretations of data structures are a very natural and intuitively plausible way to formulate and solve various problems. Fuzzy control theory has also provided a wide variety of real, fielded system applications of fuzzy technology. We shall have little more to say about the growth of fuzzy models in control, except to the extent that pattern recognition algorithms and methods described in this book impact control systems. Collected here are many of the seminal papers in the field. There will be, of course, omissions that are neither by intent nor ignorance; we cannot reproduce all of the important papers that have helped in the evolution of fuzzy pattern recognition (there may be as many as five hundred) even in this narrow application domain. We will attempt, in each chapter introduction, to comment on some of the important papers that not been included and we ask both readersmore » and authors to understand that a book such as this simply cannot {open_quotes}contain everything. {close_quotes} Our objective in Chapter 1 is to describe the basic structure of fuzzy sets theory as it applies to the major problems encountered in the design of a pattern recognition system. « less
Contact: A Novel

At first it seemed impossible - a radio signal that came not from Earth but from far beyond the nearest stars. But then the signal was translated, and what had been impossible became terrifying. For the signal contains the information to build a Machine that can travel to the stars. A Machine that can take a human to meet those that sent the message. They are eager to meet us: they have been watching and waiting for a long time. And now they will judge.
Drag free control for the European satellite GOCE. Part II: digital control

The paper gives an overview of the attitude and drag-free control (in short DFC) of the European Gravity Field and Ocean Circulation Explorer (GOCE) satellite. The DFC has been designed and tested in view of the Preliminary Design Review (PDR). The DFC is intended to enable the operations of a gravity gradiometer for the Earth gravity field recovery. The DFC has been fully designed on a simplified discrete-time model derived from the 'fine' dynamics of the spacecraft and its environment, as outlined in a companion paper. The DFC has been tested against severe uncertainties and its code has been integrated into GOCE end-to-end simulator.
Study on the characteristics of predictive closed-loop power control algorithms for a cellular DS/CDMA system

This paper considers the performance of a reverse link DS/CDMA system with fast closed loop power control algorithms. A predictive power control algorithm is proposed and the performance is compared with the conventional single step-size algorithm. The effects of power control algorithm, power control updating frequency, power control command channel error rate, mobile unit's velocity and increment step-size on the system performance are investigated. Lastly, the optimum power control conditions are found and recommended.
Selection of garden rose cultivars for use as a cut flower

Mladenović E. , J. Čukanović, B. Božanić-Tanjga, L. Pavlović, K. Hiel, M. Mirić (2018): Selection of garden rose cultivars for use as a cut flower.Genetika, Vol 50, No.2, 495502. Efficacy of preservative solutions on vase life of garden roses has not been researched before. Vast variability and morphological characteristics of this group of roses are very important, making them suitable for their use in bouquets, arrangements and vases. This research was carried out to examine the influence of five preservative solutions on vase life of garden rose cut flowers. The aim of research was to determine best preservative solution for prolonging of vase life of garden rose cut flower. The experiment included 8 rose cultivars cultivated for garden use. Each treatment consisted of 10 cut garden roses. The cut garden rose flowers with vase solution containing Al2(SO4)3+ethanol+sucrose register longer vase life and higher values in water uptake. Vase life of flowers held in tap water (control) was lowest (4.38 days). This research backs the assumption that with the use of preservative solutions, garden rose also can be used as a cut flower.
Performance comparisons of AODV, secure AODV and adaptive secure AODV routing protocols in free attack simulation environment.

There have been various secure routing protocols proposed for mobile ad hoc networks. Most of these protocols are analyzed by three standard techniques: simulation, security analysis and real network testbed. In this paper, Ad Hoc On-Demand Distance Vector (AODV) routing protocols was selected as the basis of the entire simulations. Due to the needs of securing the routing in the wireless ad hoc networks, Secure AODV (SAODV) was developed to add security to original AODV which includes cryptographic operations that can have a significant impact on the routing performance. To get better performance while maintaining the secure routing, Adaptive SAODV (A-SAODV) was developed based on the SAODV implementation, which was claimed to introduce some improvement on the routing compared to the SAODV. Based on this justification, some analysis and studies are made on the performance and impacts using AODV, Secure AODV (SAODV) and Adaptive Secure AODV (A-SAODV) in a free-attack simulation environment to analyze these routing protocols and make some comparisons on the performance. The collection of simulation results will show the performance impact of security implementation into the original AODV after the implementations of SAODV and A-SAODV into the networks.
The significance of the acoustic component of consonance in Western triads

The acoustically based formalism, previously developed by the authors to quantify the consonance and dissonance of dyadic musical intervals, is extended to encompass musical triads. Quantitative measures of the dissonance properties of triads, including four‐voiced spacings of a major triad, are found to be consistent with the gradations of consonance and dissonance for triads found in common practice musical theory, stylistic analysis and pedagogy. The significance of these findings is discussed with respect to other explanations of consonance and dissonance, including explanations of historical and interdisciplinary origins.
Statistical Mechanics of Learning

From the Publisher: The effort to build machines that are able to learn and undertake tasks such as datamining, image processing and pattern recognition has led to the development of artificial neural networks in which learning from examples may be described and understood. The contribution to this subject made over the past decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics, and include many examples and exercises.