Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study of Acoustic Wave Devices Using Thin Piezoelectric Plates in the 3–5-GHz Range

This paper investigates the applicability of acoustic wave devices using an interdigital transducer placed on a thin piezoelectric crystal plate to the 3–5-GHz range, where significant performance degradation was expected in surface acoustic wave (SAW) devices. Three types of the SAW-like devices were fabricated by using a KrF stepper/scanner, and their performances are compared from various aspects: 1) a 3.5-GHz resonator using a rotated <inline-formula> <tex-math notation="LaTeX">$Y$ </tex-math></inline-formula>-cut LiTaO<sub>3</sub> plate attached on a Si substrate; 2) a 5-GHz resonator using a <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>-cut LiNbO<sub>3</sub> plate on a Si substrate; and 3) a 5.4-GHz <inline-formula> <tex-math notation="LaTeX">$A_{1}$ </tex-math></inline-formula> Lamb mode resonator on a free-standing <inline-formula> <tex-math notation="LaTeX">$Z$ </tex-math></inline-formula>-cut LiNbO<sub>3</sub> plate. It is revealed that these devices offer excellent performances even in the 3–5-GHz range.
Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection

This paper presents a multicamera system for vehicles detection and their corresponding mapping into the parking spots of a parking lot. Approaches from the state-of-the-art system, which work properly in controlled scenarios, have been validated using small amount of sequences and without more challenging realistic conditions (illumination changes and different weather conditions). On the other hand, most of them are not complete systems, but provide only parts of them, usually detectors. The proposed system has been designed for realistic scenarios considering different cases of occlusion, illumination changes, and different climatic conditions; a real scenario (the International Pittsburgh Airport parking lot) has been targeted with the condition that existing parking security cameras can be used, avoiding the deployment of new cameras or other sensors infrastructures. For design and validation, a new multicamera data set has been recorded. The system is based on existing object detectors (the results of two of them are shown) and different proposed postprocessing stages. The results clearly show that the proposed system works correctly in challenging scenarios including almost total occlusions, illumination changes, and different weather conditions.
Using Micro-Doppler Radar to Measure Gait Features Associated With Cognitive Functions in Elderly Adults

This paper used micro-Doppler radar (MDR) measurements to investigate the significance of associations between cognitive functions and gait features of elderly persons. The aim of this paper was to develop a system that would enable the risks of developing dementia and related diseases to be monitored remotely on a daily basis. Study participants were adults aged 75 years and older. Gait velocity parameters corresponding to the walking speed and leg and foot velocities were remotely extracted via a simple 24-GHz MDR system in real time. The relationships between the extracted gait velocity parameters and the global cognition and cognitive functions in various cognitive domains (processing speed, memory, executive function, and language domains) that were assessed by conventional paper- and question-based tests were statistically analyzed. Our results revealed that, apart from the walking speed, which was mainly considered in a previous study, other parameters reflecting the leg and foot velocities are effective for the detection and classification of elderly participants with lower cognitive functions in the various cognitive domains. In particular, the statistical significance of the association of the leg velocity in the swing phase with the results of all the cognitive function tests is larger than that of the walking speed. Another important finding is that different gait velocity parameters are associated with each cognitive domain and this means that the MDR-based gait measurement can be used to determine which cognitive domain has deteriorated.
Linear Discriminant Analysis Classifies the EEG Spectral Features Obtained from Three Class Motor Imagination

This paper explores the changes in power associated with the imagination of motor imagery (MI) signals corresponding to hand movement and foot movement. The study presented in this paper establishes a correlation between MI signals and Event-RelatedSynchronization (ERS)and Event-Related Desynchronization (ERD) phenomenon with the help of Band power features. This fact has been further validated with the help of Linear Discriminant Analysis (LDA) Classifier. The analysis is conducted on dataset IIIa, obtained from BCI Competition III conducted by Graz University, Austria. The dataset is a multiclass data recorded for three subjects. The accuracy of individual classes and inter-class is calculated. The average accuracy for subject K3b, K6b and L1b obtained is 91.92%, 59.97%, 57.89% respectively when training data is used as test data and when a set of test data is used the resultant accuracy obtained is 85.66%, 65.33%, 58% for the three subjects respectively. Foot data showed very less accuracy in comparison with the data of hands. It is analyzed through the studies conducted in this paper that simple phenomenon of ERD/ERS can be utilized in a multiclass Brain-Computer Interface (BCI) system operated for MI.
Adaptive Quad-tree Complexity Control for HEVC

To reduce the computational complexity of High Efficiency Video Coding (HEVC), this paper proposed an adaptive quad-tree complexity control mechanism. The proposed mechanism first defines similar region flag (SRF) to distinguish between similar region and non-similar region. Then, two algorithms, similar region depth range prediction algorithm and non-similar region depth range prediction algorithm, are proposed. The similar region depth range prediction algorithm estimates the feature of similar region based on coding unit (CU) depth of this region. The optimal depth of this region can be predicted. The non-similar region depth range prediction algorithm can skip low probability tree nodes based on depth correlation coefficient (DCC), which is calculated based on scene content change. Experimental results show that the pro-posed mechanism can reduce computational complexity by 28.17% on average with 0.75% Bjøntegaard delta bit rate (BDBR) increase and 0.03dB Bjøntegaard delta peak signal-to-noise rate (BDPSNR) drop under random access (RA) con-figuration. For low delay (LD) configuration, it can reduce complexity by 32.99% with 1.98% BDBR increase and 0.06dB BDPSNR drop penalty. The proposed mechanism is expected to be applied in the real-time environments.
Doubly Sparse Bayesian Kernel Logistic Regression

When input patterns have redundant features in regression analysis or pattern recognition, the prediction accuracy is likely to be lowered. For a kernel regression in a reproducing kernel Hilbert space, as the number of observed input patterns increases, the dimension of parameters increases since a kernel regression model using the kernel method is represented by the linear sum of kernel functions corresponding to input patterns. This can yield overfitting. This paper proposes a method for simultaneously selecting features and model coefficients. To express a sparsity of the features and the weight coefficients, we generate binary vectors, where all the elements are 0 or 1 sampled from the beta process. The proposed method can select effective features and estimate sparse weight coefficients by introducing the binary vectors into the kernel regression model. Numerical examples support the efficacy of the proposed method.
Zero Shot License Plate Re-Identification

The problem of person, vehicle or license plate reidentification is generally treated as a multi-shot image retrieval problem. The objective of these tasks is to learn a feature representation of query images (called a "signature") and then use these signatures to match against a database of template image signatures with the aid of a distance metric. In this paper, we propose a novel approach for license plate Re-Id inspired by Zero Shot Learning. The core idea is to generate template signatures for retrieval purposes from a multi-hot text encoding of license plates instead of their images. The proposed method maps license plate images and their license plate numbers to a common embedding space using a Symmetric Triplet loss function so that an image can be queried against its text. In effect, our approach makes it possible to identify license plates whose images have never been seen before, using a large text database of license plate numbers. We show that our system is capable of highly accurate and fast re-identification of license plates, and its performance compares favorably to both OCR-based approaches as well as state of the art image-based Re-ID approaches. In addition to the advantages of avoiding manual image labeling and the ease of creating signature databases, the minimal time and storage requirements enable our system to be deployed even on portable devices.
Traffic Lane Detection using Fully Convolutional Neural Network

Numerous groups have conducted many studies on traffic lane detection. However, most methods detect lane regions by color feature or shape models designed by human. In this paper, a traffic lane detection method using fully convolutional neural network is proposed. To extract the suitable lane feature, a small neural network is built to implement feature extraction from large amount of images. The parameters of lane classification network model are utilized to initialize layers' parameters in lane detection network. In particular, a detection loss function is proposed to train the fully convolutional lane detection network whose output is pixel-wise detection of lane categories and location. The designed detection loss function consists of lane classification loss and regression loss. With detected lane pixels, lane marking can be easily realized by random sample consensus rather than complex post-processing. Experimental results show that the classification accuracy of the classification network model for each category is larger than 97.5%. And detection accuracy of the model trained by proposed detection loss function can reach 82.24% in 29 different road scenes.
Modulation of taste responsiveness by the satiation hormone peptide YY

It has been hypothesized that the peripheral taste system may be modulated in the context of an animal's metabolic state. One purported mechanism for this phenomenon is that circulating gastrointestinal peptides modulate the functioning of the peripheral gustatory system. Recent evidence suggests endocrine signaling in the oral cavity can influence food intake (FI) and satiety. We hypothesized that these hormones may be affecting FI by influencing taste perception. We used immunohistochemistry along with genetic knockout models and the specific reconstitution of peptide YY (PYY) in saliva using gene therapy protocols to identify a role for PYY signaling in taste. We show that PYY is expressed in subsets of taste cells in murine taste buds. We also show, using brief‐access testing with PYY knockouts, that PYY signaling modulates responsiveness to bitter‐tasting stimuli, as well as to lipid emulsions. We show that salivary PYY augmentation, via viral vector therapy, rescues behavioral responsiveness to a lipid emulsion but not to bitter stimuli and that this response is likely mediated via activation of Y2 receptors localized apically in taste cells. Our findings suggest distinct functions for PYY produced locally in taste cells vs. that circulating systemically. —La Sala, M. S. , Hurtado, M. D. , Brown, A. R. , Bohórquez, D. V. , Liddle, R. A. ,, Herzog, H. , Zolotukhin, S. , Dotson, C. D. , Modulation of taste responsiveness by the satiation hormone peptide YY. FASEB J. 27, 5022–5033 (2013). www.fasebj. org
High frequency simulation of through-silicon via(TSV) failure

3-D integration technologies have been of increasing interest for compact and high-performance system integration and packaging. Through-silicon-via (TSV) is one of the key technologies to enable vertical connections for stacked ICs and silicon packages. However, some TSV structural defects such as pinholes and voids are difficult to capture as they commonly affect TSV performance parameters rather than TSV logical function. In this paper, the high frequency characteristics of tapped-TSV channels with defects are analyzed by inserting various amounts of the void defect.
Secure data transmission in cloud environment using visual cryptography and genetic algorithm: A review

Now a day’s Cloud Computing is the great concept in the development of an on-demand network which provides access to a common pool of configurable resources that can be rapidly provisioned and released with minimal management effort or service provider interaction where Infrastructure, Platform, and Software can be accessed as a service.Cloud Computing provides reimbursement in terms of low cost and convenience of data, but its unique feature is its security. Sharing of data is an imperative functionality in cloud storage.In Cloud computing environment the sharing of data and transfer has increased exponentially. There are the various factors in data security like integrity, confidentiality, and authentication services. Maintaining secrecy and protection for critical data are highly challenging, particularly when data are stored in memory or send via any communication networks. I have reviewed several papers regarding our concept and what I found is that in some papers, GA has been used for security, In other papers used GA, VC, and Steganography together for enhancing security. But some are providing security quite well, having high overhead. And those which have low overhead, have poor security. In this paper we have described the genetic algorithm and visual cryptography related papers which helps to know the all areas where these techniques will be used. Genetic algorithm is used for providing encryption and decryption, for hiding critical data we are using visual cryptography
Optimal energy dispatch in microgrids considering pollutant regeneration costs

Due to the opening of the energy market and agreements for the reduction of pollution emissions, the use of microgrids attracts more attention in the scientific community, but electricity administration has new challenges. This paper considers distributed generation as a main part to design a microgrid and the resources management is defined in a period through proposed dynamic economic dispatch approach. The inputs are obtained by the model predictive control algorithm considering variations of both pattern of consumption and generation systems capacity, including conventional and renewable energy sources. Furthermore, the proposed approach considers a stimulus program to customers involving a demand restriction and the costs of regeneration of the pollutants produced by conventional generation systems. The dispatch strategy seeks to reduce to the minimum the fuel cost of conventional generators, the energy transactions, the regeneration of polluted emissions and, finally, includes the benefit in electricity demand reduction satisfying all restrictions through mathematical programming strategy. The results exhibit the proposed approach effectiveness through a study case under different considerations.
A structural motif is the recognition site for a new family of bacterial protein O‐glycosyltransferases

The Escherichia coli Adhesin Involved in Diffuse Adherence (AIDA‐I) is a multifunctional protein that belongs to the family of monomeric autotransporters. This adhesin can be glycosylated by the AIDA‐associated heptosyltransferase (Aah). Glycosylation appears to be restricted to the extracellular domain of AIDA‐I, which comprises imperfect repeats of a 19‐amino‐acid consensus sequence and is predicted to form a β‐helix. Here, we show that Aah homologues can be found in many Gram‐negative bacteria, including Citrobacter rodentium. We demonstrated that an AIDA‐like protein is glycosylated in this species by the Aah homologue. We then investigated the substrate recognition mechanism of the E. coli Aah heptosyltransferase. We found that a peptide corresponding to one repeat of the 19‐amino‐acid consensus is sufficient for recognition and glycosylation by Aah. Mutagenesis studies suggested that, unexpectedly, Aah recognizes a structural motif typical of β‐helices, but not a specific sequence. In agreement with this finding, we observed that the extracellular domain of the Bordetella pertussis pertactin, a β‐helical polypeptide lacking the 19‐amino‐acid consensus sequence, could be glycosylated by Aah. Overall, our findings suggest that Aah represents the prototype of a new large family of bacterial protein O‐glycosyltransferases that modify various substrates recognized through a structural motif.
Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes

License-plate detection is an important preprocessing step in the vehicle license-plate recognition system, which is one of the key components of intelligent transport systems (ITSs). In this paper, we proposed a two-stage YOLOv2 method for accurate license-plate detection. The first stage detects cars and then the second stage detects the license-plate in the detected car region. The proposed method can detect license-plates even in complex scenes including nighttime scenes, blurry images, various sizes of cars, and various other objects. Another contribution of this work is that we constructed a database of Japanese license-plates. There is no public database of Japanese license-plate. Our experimental results have demonstrated that our proposed method improves the detection accuracy over the original YOLOv2.
Gene‐specific requirement of RNA polymerase II CTD phosphorylation

The largest subunit of RNA polymerase II, Rpb1, contains an unusual C‐terminal domain (CTD) composed of numerous repeats of the YSPTSPS consensus sequence. This sequence is the target of post‐translational modifications such as phosphorylation, glycosylation, methylation and transitions between stereoisomeric states, resulting in a vast combinatorial potential referred to as the CTD code. In order to gain insight into the biological significance of this code, several studies recently reported the genome‐wide distribution of some of these modified polymerases and associated factors in either fission yeast (Schizosaccharomyces pombe) or budding yeast (Saccharomyces cerevisiae). The resulting occupancy maps reveal that a general RNA polymerase II transcription complex exists and undergoes uniform transitions from initiation to elongation to termination. Nevertheless, CTD phosphorylation dynamics result in a gene‐specific effect on mRNA expression. In this review, we focus on the gene‐specific requirement of CTD phosphorylation and discuss in more detail the case of serine 2 phosphorylation (S2P) within the CTD, a modification that is dispensable for general transcription in fission yeast but strongly affects transcription reprogramming and cell differentiation in response to environmental cues. The recent discovery of Cdk12 as a genuine CTD S2 kinase and its requirement for gene‐specific expression are discussed in the wider context of metazoa.
Antiobese function of platelet‐activating factor: increased adiposity in platelet‐activating factor receptor‐deficient mice with age

Platelet‐activating factor receptor (PAFR)‐deficient mice developed a more severe obese state characterized by higher body mass (~25%) and epididymal fat mass (~55%) with age than that of wild‐type (WT) littermates. PAFR‐deficient mice did not show changes in the expression of critical genes involved in anabolic and catabolic metabolism in adipose, liver, and muscle tissues between 6 and 36 wk. However, a 38–81% reduction in β3/β1‐adrenergic receptor (AR) and uncoupling protein 1 (UCP1) mRNA and protein levels was observed in the interscapular brown adipose tissue (BAT) of PAFR‐deficient mice. Whereas a single injection of the β3‐adrenergic agonist, CL‐316,243 (25 μg/kg) increased temperatures in the brown fat and rectums of WT mice, this increase in temperature was markedly suppressed in PAFR‐deficient mice. Acetyl‐CoA:lyso‐platelet‐activating factor (PAF) acetyltransferase, which is involved in PAF biosynthesis, and the PAF receptor were predominantly localized in BAT macrophages, whereas brown adipocytes possessed the enzyme and functional PAF receptors. The stimulation of brown adipocytes by PAF induced the expression of β3‐AR mRNA and protein (1.5‐ and 1.9‐fold, respectively), but not that of UCP1. These results indicate that obesity in PAFR‐deficient mice resulted from impaired BAT activity and suggest that the antiobese function of PAF occurs through β3‐AR/UCP1 expression in BAT. —Sugatani, J., Sadamitsu, S. , Yamaguchi, M. , Yamazaki, Y. , Higa, R. , Hattori, Y. , Uchida, T. , Ikari, A. , Sugiyama, W. , Watanabe, T. , Ishii, S. , Miwa, M. , Shimizu, T. Antiobese function of platelet‐activating factor: increased adiposity in platelet‐activating factor receptor‐deficient mice with age. FASEB J. 28, 440–452 (2014). www.fasebj. org
Visualization of human Bloom's syndrome helicase molecules bound to homologous recombination intermediates

Homologous recombination (HR) is a key process in the repair of double‐stranded DNA breaks (DSBs) that can initiate cancer or cell death. Human Bloom's syndrome RecQ‐family DNA helicase (BLM) exerts complex activities to promote DSB repair while avoiding illegitimate HR. The oligomeric assembly state of BLM has been a key unresolved aspect of its activities. In this study we assessed the structure and oligomeric state of BLM, in the absence and presence of key HR‐intermediate DNA structures, by using single‐molecule visualization (electron microscopic and atomic force microscopic single‐particle analysis) and solution biophysical (dynamic light scattering, kinetic and equilibrium binding) techniques. Besides full‐length BLM, we used a previously characterized truncated construct (BLM642–1290) as a monomeric control. Contrary to previous models proposing a ring‐forming oligomer, we found the majority of BLM molecules to be monomeric in all examined conditions. However, BLM showed a tendency to form dimers when bound to branched HR intermediates. Our results suggest that HR activities requiring single‐stranded DNA translocation are performed by monomeric BLM, while complex DNA structures encountered and dissolved by BLM in later stages of HR induce partial oligomerization of the helicase. —Gyimesi, M. , Pires, R.H. , Billington, N. , Sarlós, K. , Kocsis, Z.S. , Módos, K. , Kellermayer, M. S. Z. , Kovács, M. , Visualization of human Bloom's syndrome helicase molecules bound to homologous recombination intermediates. FASEB J. 27, 4954–4964 (2013). www.fasebj. org