Miracle-dz/UniFAR-FTUs huggingface dataset:
Topics In Modeling, Analysis And Optimisation Of Wireless Networks

The work in this thesis is concerned with two complementary aspects of wireless networks research; performance analysis and resource optimization. The first part of the thesis focusses on the performance analysis of IEEE 802.11(e) wireless local area networks. We study the distributed coordination function (DCF) and the enhanced distributed channel access (EDCA) MAC of the IEEE 802.11(e) standard. We consider n IEEE 802.11(e) DCF (EDCA) nodes operating as a single cell; by single cell, we mean that every packet transmission can be heard by every other node. Packet loss is attributed only to simultaneous transmissions by the nodes (i.e., collisions). Using the well-known decoupling approximation [18], we characterize the collision behaviour and the throughput performance of the WLAN with a set of fixed point equations involving the backoff parameters of the nodes. We observe that the fixed point equations can have multiple solutions, and in such cases, the system exhibits multistability and short-term unfairness of throughput. Also, the fixed point analysis fails to characterize the average system behaviour when the system has multiple solutions. We then obtain sufficient conditions (in terms of the backoff parameters of the nodes) under which the fixed point equations have a unique solution. For such cases, using simulations, we observe that the fixed point analysis predicts the long term time average throughput behaviour accurately. Then, using the fixed point analysis, we study throughput differentiation provided by the different backoff parameters, including minimum contention window (CWmin), persistence factor and arbitration interframe space (AIFS) of the IEEE 802.11e standard. Finally, we extend the above results to the case where the receiver supports physical layer capture.
Multiple beam antenna

PROBLEM TO BE SOLVED: To provide a small multiple beam antenna capable of suppressing spurious radiations and avoiding the increase of the loss due to multi-stage of a switch by simplifying the switching mechanism of termination/power feeding. SOLUTION: The multiple beam antenna is provided with two patch antenna elements 301, 302 for connecting power feeding means 501, 502 via switches 701, 702 and a terminating means 6 to via switches 703, 704 to different points of one element; patch antennas 310 arranged in a line so as not to be overlapped with an N element (N being natural number) between the two patch antennas; and a coupling means or an electromagnetic coupling means by a line 4 between all the adjacent patch antenna elements. The switches 701 704 (702, 703) are connected, and the switches 702, 703 (701, 704) are opened, thereby forming a beam on one side, and the connection and opening of all the switch are replaced, thereby forming a beam on the other side. COPYRIGHT: (C)2005,JPO&NCIPI
WWW-based computation in microelectronics education and research

A software infrastructure to facilitate the use of simulation in microelectronics research and education is described. The infrastructure, essentially an operating system for the WWW, accepts simulation tools as they are and makes them operable through standard WWW browsers. In this paper, the infrastructure is described along with its applications in research and education. In particular, we describe a newly-developed course on advanced CMOS device physics that makes extensive use of simulation.
Orientlib: An R Package for Orientation Data

Orientlib is an R package to facilitate working with orientation data, i.e. elements of S O(3). It provides automatic translation between different representations of orientations, including rotation matrices, quaternions, Euler angles and skew-symmetric matrices; it also has functions for fitting regression models and displaying orientations. This paper reviews simple properties of orientation data and describes Orientlib.
Hierarchical Recognition System for Target Recognition from Sparse Representations

A hierarchical recognition system (HRS) based on constrained Deep Belief Network (DBN) is proposed for SAR Automatic Target Recognition (SAR ATR). As a classical Deep Learning method, DBN has shown great performance on data reconstruction, big data mining, and classification. However, few works have been carried out to solve small data problems (like SAR ATR) by Deep Learning method. In HRS, the deep structure and pattern classifier are combined to solve small data classification problems. After building the DBN with multiple Restricted Boltzmann Machines (RBMs), hierarchical features can be obtained, and then they are fed to classifier directly. To obtain more natural sparse feature representation, the Constrained RBM (CRBM) is proposed with solving a generalized optimization problem. Three RBM variants, -RNM, -RBM, and -RBM, are presented and introduced to HRS in this paper. The experiments on MSTAR public dataset show that the performance of the proposed HRS with CRBM outperforms current pattern recognition methods in SAR ATR, like PCA
Seismic Assessment of Artefacts: The Case of Juno’s Fountain of The National Museum of Bargello

Earthquakes represent huge risks for cultural heritage. Although there is a large literature about prevention on historical buildings, the seismic assessment on collections and exhibition designs is usually underestimated. “RESIMUS” long running project involves different knowledge and fields; its goal is to prevent seismic damages to museum collections and artefacts, combining both museographical solutions and anti-seismic methods. This contribution focuses on the “Fontana di Giunone”, designed in 1555 by Bartolomeo Ammannati and currently kept at the Museo Nazionale del Bargello. The museographical and historical researches have been combined with the seismic performance of the reconstructed Fountain. In this paper the first results provided by the seismic analysis of this artefact are shown. A 3D structural model has been set, based on the three dimensional digital model provided by an detailed laser scanner survey. An elastic dynamic analysis has been performed, by representing the seismic input through an ensemble of seven ground motions expressing the seismic hazard of the area. The analysis has provided the seismic response of the sculptures, evidencing its sensitivity to the dynamic properties of the considered ground motions.
Sensitivity analysis of cardiovascular models for minimally invasive estimation of systemic vascular parameters

A sensitivity analysis technique was used to evaluate two simple cardiovascular models for model parameter estimation using minimal measurable signals. The purpose of this study is to determine a simple model, which can used with a left ventricular device (LVAD) model to identify the model parameters using signals from the LVAD, to characterize the systemic load. The control of the LVAD can then be adjusted based on patient's demand, represented by the systemic load, with minimum invasive sensors. The results obtained from the nominal parameter values of normal patients suggested that a model with a constant capacitance for the left atrium is suitable for parameter estimation if aortic pressure, aortic flow, and left atrial pressure are measurable. If only aortic pressure and flow are available, a simplified model, excluding the left atrium from the original model, provides more accurate estimates. An extended Kalman filter was used with computer simulation data to identify parameters of the models for verifying the results from the sensitivity analysis.
Extending JastAddJ to Java 8

JastAddJ is an extensible Java 7 compiler built using the meta-compilation system JastAdd. One of the main features of JastAddJ is that it supports modular extensions, making it well suited to use as a base compiler when implementing various types of language extensions or new languages built on top of Java. This thesis examines the possibility of extending JastAddJ with a module supporting the latest Java release, Java 8. The features introduced in Java 8 include anonymous methods, or lambdas, and a way to refer to already existing methods. To facilitate the use of these features, other updates to the language include new interface methods, intersection type casts and an update to the Java overload resolution algorithm. An implementation of most of these features is presented and evaluated with respect to completeness, modularity, code size, compilation time and memory usage. An extensive unit testing suite was also constructed and evaluated.
New method for three-dimensional shape registration of prismatic objects

A new method for 3-D shape registration of prismatic objects is presented. The term prismatic object denotes any object with sharp boundaries on its surface. These kinds of objects cannot be correctly registered with typical existing methods, which require smooth overlapping of the whole surface. The method presented here is based on the use of reference marks, placed on a planar glass plate that is attached to the prismatic object. Two 3-D range measurements of the object are then acquired, before and after rotating the object by approximately 180 deg. Using the reference marks on the glass and two different calibrations of the 3-D range scanning system, these two range measurements can be correctly merged to provide a full 3-D range scan of the prismatic object.
Flipped classroom: a review of recent literature

The use of learning technologies, especially multimedia provide varied facilities for students’ learning that are not possible with other media. Pedagogical literature has proved that individuals have different learning styles. Flipped classroom is a pedagogical approach which means that activities that have traditionally taken place inside the classroom take place outside the classroom and vice versa. The flipped classroom environment ensures that students become more active participants compared with in the traditional classroom. The purpose of this paper is to fulfil the needs regarding the review of recent literature on the use of the flipped classroom approach in education. The contribution of the flipped classroom to education is discussed in relation to the changes in students' and instructors' role. Subsequently, flipped classroom applications in various disciplines of education are illustrated. The recommendations made in the literature for design specifications that integrate flipped classrooms with technology are discussed. The paper concludes that a careful consideration of the warnings and recommendations made in the literature can help to produce effective flipped classroom environments and also this paper attempts to inform those who are thinking of using new technologies and approaches to deliver courses.
Some Notes on the Past and Future of Lisp-Stat

Lisp-Stat was originally developed as a framework for experimenting with dynamic graphics in statistics. To support this use, it evolved into a platform for more general statistical computing. The choice of the Lisp language as the basis of the system was in part coincidence and in part a very deliberate decision. This paper describes the background behind the choice of Lisp, as well as the advantages and disadvantages of this choice. The paper then discusses some lessons that can be drawn from experience with Lisp-Stat and with the R language to guide future development of Lisp-Stat, R, and similar systems.
Use of Shape Features in Content-Based Image Retrieval

The aim of the thesis was to study the use of shape features in content-based image retrieval and to implement shape features to such a system called PicSOM. Because of the internal structure and principles of PicSOM the emphasis was put on such shape feature techniques which can be represented by constant-sized feature vectors and with which the Euclidean distance can be used as a similarity measure. The review covers the best-known shape description techniques which have been published in scientiic journals and conference proceedings. Based on the review, some techniques were selected for the experiments. The selected methods consist of both local and global shape features and do not necessitate prior segmentation of the image. Of local features several techniques based on the histogram of edge directions were studied. Of global features the magnitude spectrum of a gradient image and its polar transformations were experimented. The performances of the features were evaluated with a database of 4350 miscellaneous images. From the results it may be interpreted that both the local and global shape features contain relevant information as far as the indexing is concerned. In addition, the contents of the image database is the fundamental factor in selecting shape features to be used with the database. The results also support the assumption that with a database of miscellaneous images the demand for rotation, translation, and scaling invariances may not be beneecial. Of the methods studied the features formed by the magnitude spectrum of the gradient image and by the co-occurrence matrix of edge directions ooer the best performance. The conndence test showed that the performance of the above features is rather equal but in the PicSOM system the magnitude spectrum features ooer slightly better results with the test database.
A Practical Implementation of Fountain Codes over WiMAX Networks with an Optimised Probabilistic Degree Distribution

Recently, rateless codes have attracted much attention in the communications research community. The most well known being Luby transform codes, were the first practical realisation of record- breaking sparse-graph codes for binary erasure channels. These codes have the advantage of not requiring a priori knowledge of specific channel conditions and lends itself to application in nondeterministic wireless networks. This paper revisits the Luby transform fountain code, predecessor of the well known Raptor codes, and proposes a novel parameterised probabilistic degree distribution, which is used in the encoding process, along with the belief propagation decoding algorithm. By combining piecewise-defined convex functions and running a non- symmetric Kullback-Leibler divergence measure between the expected and actual degree distributions, we optimise our degree distribution and substantiate a significant reduction in reception overhead and symbol operations. This will support such forward error correction codes in efficient multimedia communication systems. Our proposition was implemented over a WiMAX network and the practical results obtained indicate that a few conditions are sufficient to define an optimal encoding process.
PENDIDIKAN SENI MUSIK UNTUK ANAK BERKEBUTUHAN KHUSUS DI SEKOLAH DASAR LUAR BIASA GALUH HANDAYANI

Sekolah luar biasa Galuh Handayani adalah sekolah untuk anak-anak berkebutuhan khusus di Surabaya yang menyelenggarakan pembelajaran seni. Penerapan pembelajaran seni musik di sekolah dasar luar biasa Galuh Handayani Surabaya berbeda dengan sekolah unggulan lainnya. Inilah yang mendasari penelitian ini. Tujuan dari penelitian ini adalah: 1) mendeskripsikan alat dan prasarana seni musik di SD Galuh Handayani Surabaya; 2) untuk mendeskripsikan pembelajaran pendidikan seni musik di SD Galuh Handayani Surabaya; 3) mendeskripsikan fungsi pendidikan seni musik di SD Galuh Handayani Surabaya; 4) untuk mendeskripsikan hasil belajar seni musik di SD Galuh Handayani Surabaya. Jenis penelitian yang digunakan adalah kualitatif dengan objek penelitian pendidikan musik kesenian di sekolah dasar luar biasa Galuh Handayani Surabaya, lokasi penelitian di Jl. Manyar Sambongan, Gubeng, Surabaya, Jawa Timur 60282. Sumber data yang digunakan adalah manusia dan non manusia, teknik pengumpulan data menggunakan observasi, wawancara, dokumentasi dan literatur, analisis data, validitas data menggunakan triangulasi sumber, waktu triangulasi dan metode triangulasi. Hasil penelitian ini meliputi sarana dan prasarana pembelajaran seni musik di SD Galuh Handayani Surabaya di dua fasilitas sarana dan prasarana pendidikan seni musik. Untuk fasilitas pendidikan umum cukup lengkap dan bagus untuk siswa. Fungsi pendidikan seni musik dibagi menjadi enam fungsi (1) mengenal lagu daerah Indonesia; (2) mengenal lagu nasional Indonesia; (3) untuk terapi; (4) sebagai media bermain; (5) sebagai media pengembangan bakat; (6) sebagai media komunikasi. Hasil dari pendidikan seni ada tiga prespektif yang pertama hasil pembelajaran kompetensi akademik dan psikomotor yang kedua hasil pembelajaran kompetensi sosial dan afektif yang ketiga hasil kegiatan untuk terapi. Bedasarkan hasil penelitian penyelenggaraan pendidikan seni musik di SD Galuh Handayani Surabaya mencukupi sarana prasarana pendidikan seni. Pelaksanaan pembelajaran dilakukan baik diluar sekolah maupun dalam kelas. Fungsi pendidikan seni musik tidak hanya untuk pendidikan formal namun multifungsi. Hasil pendidikan seni musik meliputi komponen-komponen akademik sosial maupun afektif dan psikomotor. Kata kunci: Down syndrome, pendidikan seni musik, terapi seni musik
Co‐Pilot Agent for Vehicle/Driver Cooperative and Autonomous Driving

ETRI's Co‐Pilot project is aimed at the development of an automated vehicle that cooperates with a driver and interacts with other vehicles on the road while obeying traffic rules without collisions. This paper presents a core block within the Co‐Pilot system; the block is named “Co‐Pilot agent” and consists of several main modules, such as road map generation, decision‐making, and trajectory generation. The road map generation builds road map data to provide enhanced and detailed map data. The decision‐making, designed to serve situation assessment and behavior planning, evaluates a collision risk of traffic situations and determines maneuvers to follow a global path as well as to avoid collisions. The trajectory generation generates a trajectory to achieve the given maneuver by the decision‐making module. The system is implemented in an open‐source robot operating system to provide a reusable, hardware‐independent software platform; it is then tested on a closed road with other vehicles in several scenarios similar to real road environments to verify that it works properly for cooperative driving with a driver and automated driving.
PENGARUH CELEBRITY ENDORSER, BRAND AWARENESS DAN HARGA PRODUK TERHADAP MINAT BELI MIE SUKSESS (Studi Empiris pada Penduduk Kecamatan Pinang-Kota Tangerang)

PT. Wings Food, kembali mengeluarkan produk terbarunya, yaitu Mie Suksess, pada Juni 2015, dengan porsi yang lebih banyak dan bumbu yang lebih terasa. Mie Suksess berisi dua keping dalam setiap bungkusnya. Artinya, menawarkan porsi yang lebih banyak dengan bumbu yang lebih terasa, ini adalah merek mie kedua setelah sebelumnya sukses mengeluarkan mie Sedaap, perusahaan ini menggunakan artis Sule dan Maya Septha untuk mendukung iklannya. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan Celebrity endorser Sule dan Maya Septha, Brand awareness dan Harga produk pada pembentukan Minat beli Mie Suksess di kecamatan Pinang-kota Tangerang. Metode analisis yang digunakan adalah analisis deskriptif dan analisis regresi linier berganda. Jumlah sampel yang diambil 100 responden, teknik sampling menggunakan non probability sampling, dengan teknik purposive sample, yaitu teknik penentuan sampel dimana elemen dari populasi dipilih dengan pertimbangan peneliti dan menggunakan kuesioner metode skala likert, untuk memperoleh data, unit analisisnya adalah semua masyarakat kecamatan Pinang-kota Tangerang yang telah menonton iklan Mie Suksess. Adapun hasil penelitian analisis regresi berganda menunjukkan bahwa ada pengaruh positif dan signifikan antara variabel Celebrity endorser, Brand awareness dan Harga produk terhadap pembentukan variabel Minat beli Mie Suksess. Hasil uji t, variabel yang paling dominan berpengaruh dalam membentuk Minat beli Mie Suksess adalah Brand awareness. Kata kunci: Celebrity endorser, Brand Awareness, Harga produk, Minat beli.
Bispectrum-based radar target classification

With the good performance of higher-order spectra (HOS) techniques for non-Gaussian signal processing and Gaussian noise suppression capability, an AR model parametric bispectrum estimation is presented for conventional radar target return analysis. A reasonable selection of target bispectrum features is made with a formation of target feature vector for target classification. The classification experimental results-on-actual target returns are given, with satisfactory results.
Re-ranking Content Based Social Image Search Results by Multi Modal Relevance Feedback

Social image hosting websites, such as Flickr, have a rapid growth recently. Content based image retrieval on such websites is an useful potential service but is still unavailable because its performance is unsatisfactory. We propose a multi modal relevance feedback (MMRF) scheme and a supervised re-ranking approach based on it to improve the performance for practical application. Our multi modal scheme utilizes both image and social tag relevance feedback instances. The approach propagates visual and textual information as well as multi modal relevance feedback information on the graph with a mutual reinforcement process. We conduct experiments based on real world data from Flickr to evaluate the performance of our approach. We also conduct an experiment to show that our multi modal relevance feedback scheme significantly improves performance compared with traditional single modal relevance feedback (SMRF) scheme.