Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Selection Based on Function Model of Game Fusion

Abstract —The paper introduces a new method of feature selection through the function model of game fusion. We use the traditional three steps of accomplishing feature selection by the fusion model: Firstly, fusion model can preprocess the input information, classify the information into conflict data, redundant data and complementary data, and filter the conflict data. Then, it transmits the preprocessed data to the modules of the information center. Finally, fusion model achieves the optimal situation through the fusion algorithm. We discover the complexity of these three steps will be high when the size of features is huge. Therefore, we draw on the experience of feature division and reduce the size of strategy set from power set of features to the features set. Keywords-game theory; information fusion; feature selection I. I NTRODUCTION Information fusion which is also named as data fusion is originated from sonar signal processing system of the United States Department of Defense in 1973. Information fusion merges the information from disparate sources which are always gathered by multi-sensor system. The two critical elements of information fusion method are fusion model and fusion algorithm. There are plenty of methods accomplishing the information fusion in different field. Information fusion based on game theory is a hot topic at present. Most of the methods based on game theory use the function model of game fusion which is proposed by Wang in [1], but the fusion algorithms are different. For example, Xiao takes the Bayesian network as the fusion algorithm[2]. Yin uses the Markov game theory and introduces a thought of using agent[3]. Xu uses Nash equilibrium which is a concept of economy[4]. Wei tries the technique of hotpot [5] and Guo introduces the way of game fusion using multi intelligent agents[6]. Feature selection is one of the applications can accomplish through information fusion based on game theory. We can achieve the goals of feature selection through the game fusion model of [1] and the fusion algorithm of [4], but this attempt has a huge size of complexity. Fu introduces a new method of feature selection of game theory in [7]. Although the method of Fu has many limitations, we use the thought of this new method in game fusion model and achieve good effect finally. II. I
Enhanced Common‐Mode Noise Rejection Method Based on Impedance Mismatching Compensation for Wireless Capsule Endoscopy Systems

Common‐mode noise (CMN) is an unresolved problem in wireless capsule endoscopy (WCE) systems. In a WCE system, CMN originates from various electric currents found within the human body or external interference sources and causes critical demodulation performance degradation. The differential operation, a typical method for the removal of CMN rejection, can remove CMN by subtracting two signals simultaneously received by two reception sensors attached to a human body. However, when there is impedance mismatching between the two reception sensors, the differential operation method cannot completely remove CMN. Therefore, to overcome this problem, we propose an enhanced CMN rejection method. The proposed method performs not only subtraction but also addition between two received signals. Then a CMN ratio can be estimated by sufficient accumulation of division operation outcomes between the subtraction and addition outputs during the guard period. Finally, we can reject the residual CMN by combining the subtraction and addition outputs.
Risk of Orthopedic Surgical Site Infections in Patients with Rheumatoid Arthritis Treated with Antitumor Necrosis Factor Alfa Therapy

Introduction. International guidelines recommend interruption of anti-TNF medications in the perioperative period, but there are no randomized trials to support such recommendation. Objectives. To study literature evidence assessing the risk of surgical site infections in orthopedic surgery patients with RA using anti-TNF drugs, compared to untreated patients or those using conventional DMARD. Methods. Systematic review of cohort studies is concerning surgical site infections in orthopedic procedures in patients with RA. Results. Three studies were selected. Only one was considered of high-quality, albeit with low statistical power. The review resulted in inconclusive data, since the best quality study showed no significant differences between groups, while others showed increased risk of infections in patients using anti-TNF medications. Conclusion. It is unclear whether patients with RA using anti-TNF medications are at increased risk of surgical site infections. Randomized controlled trials or new high quality observational studies are needed to clarify the issue.
INOD: A Graph-Based Outlier Detection Algorithm

The outlier detection is to select uncommon data from a data set, which can significantly improve the quality of results for the data mining algorithms. A typical feature of the outliers is that they are always far away from a majority of data in the data set. In this paper, we present a graph-based outlier detection algorithm named INOD, which makes use of this feature of the outlier. The DistMean-neighborhood is used to calculate the cumulative in-degree for each data. The data, whose cumulative in-degree is smaller than a threshold, is judged as an outlier candidate. A KNN-based selection algorithm is used to determine the final outlier. Experimental results show that the INOD algorithm can improve the precision 80% higher and decrease the error rate 75% lower than the classical LOF algorithm.
A study of skin color detection using a merging technique

With advances in technology, image-processing techniques are changing daily. All high-tech products are moving toward controls using human touch. Therefore, in the future, human face detection will have an important role in applications such as facial recognition, human computer interfaces, facial image database management, and video surveillance. This study has three parts: (1) a comparison of the effect on skin color of the and threshold values, for three different races’ skin colors; (2) the segmentation of skin and skin-like objects; and (3) the way in which image-merging techniques effectively filter out skin-like interference in a skin-like environment and repair-broken images. This study uses a merging algorithm, which uses a relative Euclidean and 8-neighbors method to merge broken binary images in the region of interest. The experiments show that the completeness of the image is improved, which proves the effectiveness of the method.
The Application of Classification Trees to Bunsetsu Segmentation of Japanese Sentences

In conventional bunsetsu segmentation methods for Japanese sentences, segmentation rules have been given manually. This causes difficulties in maintaining the consistency of the rules, and in deciding an efficient order of rule application. This paper proposes a method of automatic bunsetsu segmentation using a classification tree, by which knowledge about bunsetsu boundaries is automatically acquired from a corpus, and an efficient order of rule application is realized automatically. It can adapt quickly to a new system of parts of speech, and also to a new task domain without the need for changing the algorithm. Generation of classification trees for bunsetsu segmentation and evaluation experiments were carried out on an ATR corpus and an EDR corpus. The segmentation accuracy of 98.9% was achieved for the ATR corpus, and 96.2% for the EDR corpus. The method was compared with a simple rule-based method and the Bayes decision rule on the ATR corpus. The proposed method outperformed the rule-based method when the training data size was larger than about 20 sentences, and outperformed the Bayes decision rule over the whole range of training data sizes. The superiority of the proposed method was more evident over the former when the training data size was larger, and over the latter when the training data size was smaller.
Publishing on the Web: creating a local reference tool

With the aid of seed money from a federal grant, librarians at the University of Colorado at Boulder (CU Boulder) developed an online statistical abstract called Colorado by the Numbers (CBN). The last print version of the Colorado Statistical Abstract was published in 1987. CBN provides updated socio‐economic data about the state and its counties on the Web. Librarians have gone beyond the acquisition and maintenance of traditional printed information sources to producing tailor made resources that meet the information needs of their local community. The CBN design and management model is discussed.
ROI-based SNR scalable JPEG2000 image transcoding

This paper presents a quality scalable Region-of-Interest (ROI) transcoding technique for JPEG2000 image transmission over narrowband networks. The proposed scheme employs a structure analysis of the bitstream, packet extraction and reorganization, as well as a prioritization of ROIs and background with desired qualities. Since the proposed scheme does not involve any re-encoding operation, either for the wavelet coefficients or for the packet header, it has very low complexity. This paper studies the output picture quality of various transcoder configurations, discusses the bandwidth savings achieved by the scheme and also presents a complexity evaluation. Experimental results show that significant bandwidth reduction for image transmission is achieved and image quality for monitoring surveillance video is maintained with a very minimal amount of complexity in the transcoder.
3D Geometrical Details Transfer with Cubic B-Spline Wavelet

The modeling of complex 3D details is a time-consuming task and need enough experience. In this paper, an effectual algorithm is proposed to transfer and reuse 3D geometrical details with cubic B-spline wavelet. Firstly any kind of surfaces both from the source model and the destination one are represented with cubic B-spline wavelet, and then they are decomposed into a base shape and several hierarchies of details. Since both models share the same basis of wavelet, they can be combined into one model in different hierarchies. Hereby the details are transferred onto the new 3D models. Later experiment shows that this technology can obtain desired resultant models.
An MPI Parallel Implementation of Newmark's Method

The standard message‐passing interface (MPI) is used to parallelize Newmark's method. The linear matrix equation encountered at each time step is solved using a preconditioned conjugate gradient algorithm. Data are distributed over the processors of a given parallel computer on a degree‐of‐freedom basis; this produces effective load balance between the processors and leads to a highly parallelized code. The portability of the implementation of this scheme is tested by solving some simple problems on two different machines: an SGI Origin2000 and an IBM SP2. The measured times demonstrate the efficiency of the approach and highlight the maintenance advantages that arise from using a standard parallel library such as MPI.
Third generation CRONE control

This paper presents a linear robust control strategy: the third generation CRONE control. Based on the complex non-integer derivation, it generalizes the first two approaches based on the non-integer derivation. So, the classic vertical template which characterized the open loop frequency response plotted in the Nichols plane is replaced with a straight line segment of indifferent direction: the generalized template. Then, a quadratic criterion is defined to select an optimal template. As an illustration example, an optimal template is determined for a plant subject to great structured parametric variations. <<ETX>>
Advances in Clinical Actigraphy

Submit Manuscript | http://medcraveonline.com J Lung Pulm Respir Res 2015, 2(4): 00051 meaningful understanding of daily sleep-wake cycles, and so, with this data, the clinician can feel more confident in the diagnosis and management of circadian rhythm disorders, sleep-wake misperception, insomnia, hypersomnia, and sleep disordered breathing [1]. This overall represents staggering progress from the conception of actigraphy in 1995, at which point the American Academy of Sleep Medicine had stated that actigraphy should be reserved exclusively as a research tool, and its role in the clinical arena was deemed merely questionable [2].
Bulldog: A Compiler for VLIW Architectures

"Bulldog "demonstrates that a symbiosis of new Very Long Instruction Word (VLIW) architectures and new compiling technology is practicable.VLIW architectures are reduced-instruction-set machines with a large number of parallel, pipelined functional units but only a single thread of control. These machines offer the promise of an immediate order-of-magnitude increase in speed for general purpose scientific computing. However, a traditional compiler can't find enough parallelism in scientific programs to utilize a VLIW effectively. The Bulldog compiler described here uses several new compilation techniques: trace scheduling to find more parallelism, memory-reference and memorybank disambiguation to increase memory bandwidth, and new code-generation algorithms.Although originally developed for VLIWs, many of the ideas in "Bulldog "could be applied to pipelined reduced-instruction-set architectures such as the MIPS. Ellis's experiments indicate that speed improvements of thirty to eighty percent are possible for scientific code on such machines.John R. Ellis received his doctorate from Yale University and is currently Principal Software Engineer, Digital Equipment Corporation Systems Research Center, Palo Alto. "Bulldog: A Compiler for VLIW Architectures" is winner of the 1985 ACM Doctoral Dissertation Award.
Seismic Studies of the Gas-Hydrate-Stability Zone , Northern Gulf of Mexico

High-resolution seismic-reflection data were collected across the upperand middle-continental slope of the northern Gulf of Mexico to study the distribution of gas and gas hydrate and their relation to seafloor slides. Seafloor gas vents and gas hydrate are widely reported near salt-related structures, but gas hydrate is only reported in one deep drill site. In our study area, the upper 1000 m subbottom, which includes the gas-hydrate-stability zone (GHSZ), has many high-reflectivity zones (HRZs) that lie at varied subbottom depths near shallow diapirs, faults and likely debris flows, and that are interbedded within layered sedimentary sections. HRZs occur near seafloor gas vents and along faults, lie below (more common) and within the GHSZ, and coincide with zones of shallow water-flows. Bottom simulating reflections are rare in the Gulf, and not seen in our data. We believe HRZs result largely from free gas in sandy beds. These beds would also contain hydrates within the GHSZ. We estimate base GHSZ for methane and two petrogenic gases, and on seismic sections the base GHSZ correlates reasonably with top of HRZs in some thick well-layered basin sections, but poorly where shallow sediments are thin and strongly deformed. The correlation is equivocal in part because the values used to calculate estimates of base GHSZ are poorly constrained and may vary widely, especially near areas of large waterand sediment-flows. HRZs may be a potential indicator for nearby gas hydrate. HRZs also lie at the base of at least two large seafloor slides (e.g., up to 250 sq. km.) that may be actively moving along decollement faults that sole within the GHSZ or close to the estimated base of the GHSZ. We suspect that water/gas flow along these faults and adjacent strata provide gas to source gas hydrate in the GHSZ, and flow weakens sediments that slide on saltoversteepened slopes when triggered by earthquakes.
Evaluation of a Method of Removing Head Movement Artifact from EEG by Independent Component Analysis and Filtering

Artifacts that contaminate electroencephalography (EEG) signals make it dif cult to analyze EEG. The aim of this study was to removal artifacts on EEG, especially those caused by motion, to measure EEG in unconstrained situations. In a previous study, head movements were detected by an accelerometer, and motion artifact components were separated from the recorded EEG by independent component analysis (ICA). This method is effective for reducing the effect of artifacts, but has a risk that EEG components are also removed. In this paper, we introduce an improved artifact removal method based on ICA and ltering. EEG were decomposed by ICA, and a Pearson’s correlation coef cient was calculated between each independent component and each hybrid accelerometer value to distinguish artifact components. Artifact components were then high-pass ltered. In this study, subjects were instructed to move their heads randomly, while keeping their eyes closed. The previous method was adapted using 1, 2, 3, 5 and 10 s to nd the most suitable epoch to minimize the mean absolute amplitude of the cleaned EEG. Then, using this epoch, the proposed method was compared with the previous method by frequency analysis. Low frequency power (0.1–3 Hz) was normalized to unity because most power caused by motion artifacts exists in the low power band. If the normalized theta (4–8 Hz), alpha (8–13 Hz) and beta (13–40 Hz) powers of cleaned EEG are higher than that of raw EEG, this indicates that the effect of motion artifacts is small and EEG components are retained. The results obtained from theta and alpha power comparison showed that the proposed method performed better than the previous method. This result suggests that the proposed artifact removal method is more effective to reduce the effect of artifacts while retaining the EEG components.
Study of heterogeneous and reconfigurable architectures in the communication domain

Abstract. One of the most challenging design issues for next generations of (mobile) communication systems is fulfilling the computational demands while finding an appropriate trade-off between flexibility and implementation aspects, especially power consumption. Flexibility of modern architectures is desirable, e.g. concerning adaptation to new standards and reduction of time-to-market of a new product. Typical target architectures for future communication systems include embedded FPGAs, dedicated macros as well as programmable digital signal and control oriented processor cores as each of these has its specific advantages. These will be integrated as a System-on-Chip (SoC). For such a heterogeneous architecture a design space exploration and an appropriate partitioning plays a crucial role. On the exemplary vehicle of a Viterbi decoder as frequently used in communication systems we show which costs in terms of ATE complexity arise implementing typical components on different types of architecture blocks. A factor of about seven orders of magnitude spans between a physically optimised implementation and an implementation on a programmable DSP kernel. An implementation on an embedded FPGA kernel is in between these two representing an attractive compromise with high flexibility and low power consumption. Extending this comparison to further components, it is shown quantitatively that the cost ratio between different implementation alternatives is closely related to the operation to be performed. This information is essential for the appropriate partitioning of heterogeneous systems.
Advanced nonlinear control of three phase series active power filter

The problem of controlling three-phase series active power filter (TPSAPF) is addressed in this paper in presence of the perturbations in the voltages of the electrical supply network. The control objective of the TPSAPF is twofold: (i) compensation of all voltage perturbations (voltage harmonics, voltage unbalance and voltage sags), (ii) regulation of the DC bus voltage of the inverter. A controller formed by two nonlinear regulators is designed, using the Backstepping technique, to provide the above compensation. The regulation of the DC bus voltage of the inverter is ensured by the use of a diode bridge rectifier which its output is in parallel with the DC bus capacitor. The Analysis of controller performances is illustrated by numerical simulation in Matlab/Simulink environment.
An integrated m-out-of-n detection circuit using threshold logic

The design of the integrated 4-out-of-9 detector is based on a threshold logic approach. A differential current-switching circuit configuration is used, and the detector is fully compatible with conventional emitter-coupled logic (ECL). The circuit has a propagation delay of 16 ns and dissipates only 100 mW. The functional power-delay product of 1600 pJ is an order of magnitude below that achieved with an efficient gate design.
JPEG2000 - image compression fundamentals, standards and practice

This is nothing less than a totally essential reference for engineers and researchers in any field of work that involves the use of compressed imagery. Beginning with a thorough and up-to-date overview of the fundamentals of image compression, the authors move on to provide a complete description of the JPEG2000 standard. They then devote space to the implementation and exploitation of that standard. The final section describes other key image compression systems. This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
Numerical analysis of ultra‐short pulse wavelength conversion characteristics of LiNbO3 waveguide nonlinear‐optic devices

The pulse wavelength conversion characteristics of various nonlinear optical processes in LiNbO3 waveguide nonlinear optic devices are analyzed by the beam propagation method. Detailed data for estimation of device characteristics and for optimal device design for a 1.5-µm-band signal are presented. The following results are obtained. (1) The conversion efficiency of second harmonic generation decreases as the pulse width of the input pump wave is decreased, and is improved as the device length is increased in the range where the walkoff between the optical waves is short. (2) In difference frequency generation, the optical pulse width of the difference frequency is close to that of the input signal wave. In continuous wave pumping, high efficiency is realized by increasing the device length. (3) In cascade second harmonic generation/difference frequency generation, high efficiency can be realized by increasing the device length in both continuous wave pumping and difference frequency pumping. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 86(3): 11–20, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.1118
The research with Gabor wavelet neural networks algorithm on target recognition

The Paper is the study of Gabor wavelet neural network algorithm and its application in gray image target recognition. The mostly thought t are real time recognizing gray image target with Gabor wavelet neural networks algorithm. The main thoughts are through combing the forward neural networks (BP net) with Gabor wavelet based on they were applied in target feature extraction and recognition. A model of Gabor wavelet neural network is constructed with automatic target recognition, the good impact is gained when it is applied target recognition. The principle of Gabor filter is expounded. The multi-channel Gabor filter is designed based on theory and practicality, the neural network recognizing algorithm based on multi-channel Gabor filter feature is presented. Training algorithm of Gabor wavelet neural networks model was given out. Principally analyzed Gabor wavelet neural networks from theory, in the mean time training algorithm of Gabor wavelet network suited to target recognition was designed by BP algorithm. Theory and simulate experiment indicated the astringency and robustness of this algorithm excelled BP net. Target was recognized by this algorithm not only increased recognition precision but also overcame the bug of BP algorithm get in minimum