Miracle-dz/UniFAR-FTUs huggingface dataset:
Fractal Properties Of The Sea Surface Manifested In Microwave Remote Sensing Signatures

The wave spectrum of a well developed sea includes a broad range of wavenumbers where the spectral density is governed by a power law of the form k-p. When p54, the surface exhibits certain properties, such as an increased surface number density of steep and breaking wavelet events and an increased number of specular points for vertical incidence, due to the cascade (fractal) pattern in its geometry. These properties manifest themselves in error trends in wind speed measurements by scatterometer and altimeter. Wind waves, scatteromctry, altimetry, fractals
ECG signal denoising by Functional Link Artificial Neural Network (FLANN)

Nowadays, Electrocardiogram (ECG) plays an important role in the primary diagnosis, prediction and survival analysis of cardiac diseases. Electrocardiography has had a profound influence on the practice of medicine. The ECG signal contains an important amount of information that can be exploited in different manners. The ECG signal allows for the analysis of anatomic and physiologic aspects of the whole cardiac muscle. Noise reduction in ECG signals is one of the main problems, which appear during analysis of electrical activity of the heart. Such noises are difficult to remove using typical filtering procedures. Efficient analytical tool, which allows increasing signal to noise ratio, is a technique of averaging of cardiac cycles. Effectiveness of this method strictly depends on stable sinus rhythm. Different ECG signals are used to verify the proposed method using MATLAB platform. In this paper, we have proposed Functional Link Artificial Neural Network (FLANN) for the denoising of the ECG signal.
Performance comparison of OFDM and multitone with polyphase filter bank for wireless communications

We present a performance comparison of two multicarrier modulation schemes (Bingham 1990), orthogonal frequency division multiplexing (OFDM) (Cimini Jr., 1985) and multitone with polyphase filter bank (MPFB), in the presence of frequency offset and delay spread. The bit error rate (BER) for the two systems in an additive white Gaussian noise (AWGN) channel and a two-ray Rayleigh fading channel is evaluated by computer simulation. It is shown that the sensitivity to frequency offset can be reduced by MPFB at the expense of larger bandwidth and higher complexity. It is also shown that the MPFB implementation is very sensitive to large delay spread.
An effective image steganographic scheme based on wavelet transformation and pattern-based modification

In this paper, a new scheme for image steganography is presented. The proposed scheme has the ability to hide secret message in a digital image. We call the scheme the pattern-based image steganography (PBIS). First, PBIS does discrete wavelet transformation (DWT) on the digital image; separates the transformation result into nonoverlapping blocks, and classifies the wavelet coefficients of these blocks into several patterns. The secret message is embedded into the image by changing the coefficients' patterns. The performance and reliability of PBIS are shown in the experimental results. The quality of the stego image of the proposed scheme is very close to that of the original one. Moreover, our scheme can be survived under JPEG lossy compression.
Verification based inspection

A realization from cleanroom experience is that the software inspection can be driven by correctness verification ideas. Specifically, the questions to be asked by inspectors and the order in which they are to be asked can be automatically created from correctness proofs. The verification based inspection is qualitatively superior to the formal inspection in developing software with near zero defects. <<ETX>>
A Comparison of Python, JavaScript and Lua Scripting Language Features

In this report, we study three different scripting languages–Python, JavaScript and Lua– and compare the similarities and differences of the features that they offer. Our comparison is based on the implementation of a simple word game called Letter Lizard. We have implemented Letter Lizard in each of the three languages using similar data structures and algorithms as much as possible while taking advantage of each language’s idiomatic features where appropriate. We start with an overview of the design and implementation of the game in each language and then compare the features of each language using example code from each of our Letter Lizard implementations. We finish by noting which language features made certain aspects of the game easier to implement and by summarizing the language features that we found most useful. By comparing these three scripting languages through the implementation of a non-trivial program, we hope to gain a deeper understanding of, and appreciation for, scripting languages in general and the tasks for which they are best suited. CS 798 Scripting Languages Project Final Report
Application of Petri net to fault diagnosis in satellite

A prototype of fault diagnosis based on Petri net, which is developed for a satellite tele-control subsystem, is introduced in this paper. Its structure is first given with the emphasis on a Petri net modeling tool which is designed using the object oriented method. The prototype is connected to the database with DAO (Date Access Object) technique, and makes the Petri net's firing mechanism and its analyzing methods to be packed up as DLL (Dynamic Link Library) documents. Compared with the rule-based expert system method, the Petri net-based one can store the knowledge in mathematical matrix and make inference more quickly and effectively.
After the care journey: exploring the experiences of family carers of people living with dementia

Abstract While the burden of caring for people living with dementia has been well documented, considerably less is known about how carers transition into post-care life. This study aimed to understand the experiences of primary family care-givers of people with dementia after the person with dementia has died. A specific focus of the research was understanding the barriers to transitioning into a positive post-care life, and facilitators that help sustain carers as they move forward after their care journey has ended. A qualitative exploratory, descriptive study was undertaken with nine primary carers for a family member who died with dementia (five spouses and four adult children). Semi-structured face-to-face or telephone interviews were conducted with carers between July and August 2016. Interview transcripts were analysed using a thematic approach. A number of factors that can act as barriers or facilitators to transition for carers were identified. Contextualising loss, restructuring identity, psychological health issues and the influence of social attitudes seemed to have a strong influence on carer outcomes. The findings highlight the need for further systematic social and informational support for carers to moderate post-care trajectories and improve carer transition.
A code division multiplex using manchester‐coded orthogonal sequences

There has been increasing interest recently in code division multiplex (CDM) systems. The authors reported a CDM system using pseudo-orthogonal Manchester-coded M-sequence pairs. For this CDM system, the effective energy per bit in the received signals is reduced (M + 1)/2M times as much as the transmitted energy per bit. Moreover, the bit error rate (BER) of the 3M-plex system, which uses the “a-chip-shift” multiplex operation alone, does not converge on zero even if Eb/N0 increases. This paper proposes a CDM system using Manchester-coded orthogonal sequences which consists of an M-sequence M chip and an additional chip. The proposed 3M-plex system is a combination of the “a-chip-shift” multiplex operation and the amplitude multiplex operation. The proposed systems do not have loss of the effective received signal energy. The BER of the proposed systems converges to zero with increasing Eb/N0. Moreover, the proposed system out performs the Manchester-coded multilevel transmission system.
Summarization of Diagrams in Documents

Documents are composed of text and graphics. There is substantial work on automated text summarization but almost none on the automated summarization of graphics. Four examples of diagrams from the scientific literature are used to indicate the problems and possible solutions: a table of images, a flow chart, a set of x,y data plots, and a block diagram. Manual summaries are first constructed. Two sources of information are used to guide summarization. The first is the internal structure of the diagram itself, its topology and geometry. The other is the text in captions, running text, and within diagrams. The diagram structure can be generated using the author's constraint-based diagram understanding system. Once the structure is obtained, procedures such as table element elision or subgraph deletion are used to produce a simpler summary form. Then automated layout algorithms can be used to generate the summary diagram. Current work on parsing and automated layout are briefly reviewed. Because automated diagram summarization is a brand-new area of inquiry, only the parsing phase of the approach has been fully implemented. Because of the complexity of the problem, there will be no single approach to summarization that will apply to all kinds of diagrams.
SVD Filtered Temporal Usage Pattern Analysis and Clustering

This paper examines a SVD-based eective and robust approach to discover temporal electricity usage pattern from a broad customer base. The rationale behind this method and the relationship between SVD, PCA and Fourier analysis is discussed, as well as the implementation of SVD in SAS without IML modular. The output from this method is taken as input to the k-means clustering algorithm in PROC FASTCLUS. Using synthetic data, we demonstrate how robust the
Evaluation of integrated system-level checks for on-line error detection

This paper evaluates the capabilities of an integrated system level error detection technique using fault and error injection. This technique is comprised of two software level mechanisms for concurrent error detection, control flow checking using assertions (CCA) and data error checking using application specific data checks. Over 300,000 faults and errors were injected and the analysis of the results reveals that the CCA detects 95% of all the errors while the data checks are able to detect subtle errors that go undetected by the CCA technique. Latency measurements also shelved that the CCA technique is faster than the data checks in detecting the error. When both techniques were incorporated, the system was able to detect over 98% of all injected errors.
Expected Queue Delay of Resource Allocation Scheme Based on Traffic Prediction in Satellite Systems

Abstract The future satellite communication systems should be able to accommodate the integrated services with a variety of applications and fulfil the quality of service requirements. Regarding to the delay requirements for different types of traffic, a novel resource allocation scheme is proposed. It is seen that the resource is allocated to each satellite terminal based on the traffic prediction. The assigned capacities are partitioned with priority coefficient according to the maximum tolerance delay of different traffic. The algorithm’s performance is validated in simulation with different types of traffic. The proposed scheme is further compared with the existing ones, such as first-come first-serve, non-pre-emptive priority and pre-emptive resume priority. The theoretical analysis and simulation results show that new algorithm can efficiently improve the delay performance of multi-application and is easy to be implemented in satellite communication system.
Measuring peak and average power of digitally modulated advanced television systems

The author reviews why it is that the peak power of the NTSC visual signal is measured, noting that its average power varies inversely with scene brightness. The average power of a digital TV signal is independent of scene content, motion, and other variables and is, therefore, the parameter to be measured and used to compute interference, coverage, and the utility cost to provide that coverage. Transient peak power varies with the data stream, and for this reason it is a statistical quantity. A method to determine the transient peak power is described. Thermocouple power sensors and the limitations of square law power sensors are also discussed. >
Obstacle avoidance of manipulators with rate constraints

Presents a control method which achieves autonomous obstacle avoidance for manipulators with rate constraints. More precisely, in order to achieve the autonomous obstacle avoidance, we exploit the freedom of the coordinate transformation for exact linearization of nonlinear systems. At the same time, we cope with the rate constraints by adopting the state-dependent time scale transformation. Furthermore, we apply this method to an actual 2-link robot manipulator, and evaluate its effectiveness by experiment, which is the most important part of the paper.
The practicality of SIMD for scientific computing

While not popular at present for scientific computing, SIMD has proven to be a practical option for tackling a variety of scientific problems. The MasPar MP-2 at NASA/Goddard Space Flight Center is being successfully employed for Grand Challenges in Earth and space science. This paper considers the applicability, specific implementation and performance of five algorithms-astrophysical fluid dynamics, particle-in-cell techniques, N-body simulations, finite element simulations of fluids, and image processing. When compared to a single-processor CRAY C90, the MasPar MP-2 exhibits substantially better performance-to-cost and fully competitive sustained performance. <<ETX>>
Cooperative spectrum sensing and radio environment map construction in cognitive radio networks (Bilişsel radyo ağlarında işbirlikçi spektrum algılama ve frekans haritası oluşturma)

COOPERATIVE SPECTRUM SENSING AND RADIO ENVIRONMENT MAP CONSTRUCTION IN COGNITIVE RADIO NETWORKS In this thesis, we focus on both internal and external sensing in Cognitive Radio (CR) networks. In internal sensing, individual CRs discover spectrum opportunities via spectrum sensing whereas in external sensing, an external entity provides the spectrum occupancy and related information. For the first, we propose a novel cooperative spectrum sensing scheme, Uniform Quantization-based Cooperative Sensing (UniQCS) that uses uniform quantization and an effective fusion strategy. Numerical results demonstrate that under imperfect reporting channel and false reports, UniQCS performs better than hard decision algorithms such as Majority and M-of-N in terms of probability of detection and false alarm at the expense of a marginal increase in overhead bits. We demonstrate that the performance of UniQCS is very close to that of equal gain combiner, which constitutes the upper bound for the decision performance. Due to the challenges in internal sensing, external sensing recently has gained noticeable interest. In external sensing, CRs access spectrum through geolocation databases, which keep relatively static information. Radio Environment Map (REM) is a kind of improved geolocation database and an emerging topic with the latest regulations on TV white space communications. It constructs a signal power temperature map of the CR operation area via processing spectrum measurements collected from sensors dynamically. In this thesis, transmitter LocatIon Estimation based (LIvE) REM construction technique is proposed and compared with the well-known REM construction techniques in shadow and multipath fading channels. The simulation results suggest that the LIvE REM construction outperforms the compared methods in terms of root mean square error and correct detection zone ratio.
Large-Scale Atomistic Simulations of Complex and Functional Properties of Ferroic Materials

Ferroelectric (FE) nanostructures have attracted considerable attention as our abilities improve to synthesize them and to predict their properties by theoretical means. Depolarizing field effects at interfaces of FE heterostructures are particularly notable for causing topological defects such as FE vortices and negative dielectric responses in superlattices. In this thesis, I employ two large-scale atomistic techniques, the first-principles-based effective Hamiltonian (HEff) method and the linear-scaling three-dimensional fragment (LS3DF) method. I use these methods to explore optical rotation in FE vortices, electro-optic effects in FE vortices and skyrmions, and voltage amplification via negative capacitance in ferroelectric-paraelectric superlattices. We employ HEff in Monte Carlo and molecular dynamics schemes to maximize spontaneous optical rotation in a BaTiO3/SrTiO3 nanocomposite [1]. For a small bias field, maximal optical rotation was realized at room temperature. The result has acquired greater relevance since Ramesh and coworkers observed “emergent chirality" in FE vortex arrays in PbTiO3/SrTiO3 superlattices [2]. In a similar nanocomposite as above, we use the combined HEff and LS3DF method [3] to study how band gap and band alignment evolves along the path from a polar-toroidal to an electrical skyrmion state [4]. Temperature control of the vortex provides substantially larger range of control of bandgap and band alignment than field control of the skyrmion. Using temperature and electric fields to manipulate polarization and bond angle distortion in both constituent materials provides an additional handle for bandgap engineering in such nanostructures. We then use HEff to study BaTiO3/SrTiO3 superlattices as a platform for negative differential capacitance [5, 6]. We implement an atomistic framework amenable to simulation of negative capacitance in strained superlattices. In these systems, we predict misfit epitaxial strain control allows for broadly extending the operable temperature range for negative. By manipulating this strain, we observed switching of negative capacitance behavior between both constituent materials of the superlattice at low temperature.
Systolic implementations of two-dimensional recursive digital filters

Implementations for two-dimensional recursive filters using systolic arrays with linear structures are presented. The processing elements used are modular and thus lead to cost-effective designs. The implementations have the maximum data rate possible, i.e. a new input sample is supplied and as new output sample is obtained every sampling period. The latency of all the systolic arrays designed is equal to one. The number of processing elements required is on the order of w*h, where w and h are, respectively, the width and height of the window used. <<ETX>>
Implementasi Algoritma Konstruksi Relasi Objek Transitive Closure Berdasarkan Adjacency Hyperedges Matrix

Relasi antar objek dapat dihubungkan melalui satu fitur atau atribut tunggal secara individual. Namun, dalam makalah ini relasi objek berdasarkan himpunan atribut objek yang dimiliki oleh objek yang bersangkutan. Relasi objek yang ditinjau adalah suatu relasi objek yang mencakup (covers) objek lainnya dari suatu koleksi objek yang diamati berdasarkan himpunan atribut yang dimilikinya. Oleh karenanya, relasi objek-objek tersebut membentuk suatu graph koneksi objek yang bersarang (nested) dikenal sebagai partially order set atau lattice. Suatu objek dapat memiliki koneksi langsung (transitive) dan path ke objek lainnya. Konstruksi koneksi langsung semua objek merupakam suatu transitive closure. Algoritma konstruksi transitive closure yang dikembangkan penulis dalam makalah ini berdasarkan model hypergraph yaitu Adjacency Hyperedges Matrix. Dalam koleksi objek yang dievaluasi jika ada relasi objek dapat merupakan suatu graph terkoneksi, atau juga membentuk lebih dari satu forest graph.
Harvesting Knowledge from Web Data and Text

The Web bears the potential of being the world's greatest encyclopedic source, but we are far from fully ex- ploiting this potential. Valuable scientific and cultural content is interspersed with a huge amount of noisy, low- quality, unstructured text and media. The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages give rise to an unprecedented opportunity: Can we systematically harvest facts from the Web and compile them into a comprehensive machine-readable knowledge base? Such a knowledge base would contain not only the world's entities, but also their semantic properties, and their relationships with each other. Imagine a “Structured Wikipedia” that has the same scale and richness as Wikipedia itself, but offers a precise and concise representation of knowledge, e.g., in the RDF format. This would enable expressive and highly precise querying, e.g., in the SPARQL language (or appropriate extensions), with additional capabilities for informative ranking of query results. The benefits from solving the above challenge would be enormous. Potential applications include 1) aformalizedmachine-readableencyclopediathatcanbequeriedwithhighprecisionlikeasemanticdatabase; 2) a key asset for disambiguating entities by supporting fast and accurate mappings of textual phrases onto named entities in the knowledge base; 3) an enabler for entity-relationship-oriented semantic search on the Web, for detecting entities and relations in Web pages and reasoning about them in expressive (probabilistic) logics; 4) a backbone for natural-language question answering that would aid in dealing with entities and their rela- tionships in answering who/where/when/ etc. questions; 5) a key asset for machine translation (e.g., English to German) and interpretation of spoken dialogs, where world knowledge provides essential context for disambiguation; 6) acatalystforacquisitionoffurtherknowledgeandlargelyautomatedmaintenanceandgrowthoftheknowl- edge base. While these application areas cover a broad, partly AI-flavored ground, the most notable one from a database perspective is semantic search: finally bringing DB methodology to Web search! For example, users (or tools on behalf of users) would be able to formulate queries about succulents that grow both in Africa and America, politicians who are also scientists or are married to singers, or flu medication that can be taken by people with high blood pressure. The search engine would return precise and concise answers: lists of entities or entity pairs (depending on the question structure), for example, Angela Merkel, Benjamin Franklin, etc., or Nicolas Sarkozy for the questions about scientists. This would be a quantum leap over today's search where an- swers are embedded if not buried in lots of result pages, and the human users would have to read them to extract entities and connect them to other entities. In this sense, the envisioned large-scale knowledge harvesting [42] from Web sources may also be viewed as machine reading [13].
Design and Testing of a CPU Emulator

In this paper, we describe the design and testing process of an x86 CPU model for the Giano simulator. We used a hardware-oracle for test generation and as a reference behavioral specification. We developed an automatic tester that extracts the CPU specifications from the published CPU datasheets, and automatically generates test cases with complete test coverage. The number of required tests is reduced by many orders of magnitude by the separate testing of operand routing from computation. Debugging efficacy is such that the tester is now used concurrently with the development process, not afterwards. The hardware-oracle detects and documents several undocumented or erroneously-specified CPU behaviors which would be difficult to detect by conventional testing methods.