Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation Based Feature Selection Algorithm for Machine Learning

Feature selection is an effective strategy to reduce dimensionality, remove irrelevant data and increase learning accuracy. The curse of dimensionality of data poses a severe challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, we use three feature selection algorithms namely Fast Correlation Based Feature Selection (FCBF), a variation of FCBF called Fast Correlation Based Feature Selection # (FCBF#) and Fast Correlation Based Feature Selection in Pieces (FCFBiP). The three feature selections are compared and experimental results prove that the FCFBiP is efficient compared to FCBF and FCBF#.
Experimenting latency-aware and reliable service chaining in Next Generation Internet testbed facility

In this paper we report experimental validation of an orchestration system for geographically distributed Edge/NFV clouds, supporting end-to-end latency-aware and reliable network service chaining. The orchestration system includes advanced features such as dynamic virtual function selection and intent-based traffic steering control across heterogeneous SDN infrastructures. The experiment run under the 1st Open Call of the Fed4FIRE+ EU H2020 Project and took advantage of bare metal servers provided by the Fed4FIRE platform to set up a distributed SDN/NFV deployment. We provide details on how this orchestration system has been deployed on top of Fed4FIRE facility and present experimental results assessing the effectiveness of the proposed orchestration approach.
Effect of Stress State on Fatigue Characterization of SAC305 Solder Joints

In this study, room temperature cyclic mechanical tests are performed at different load levels on three types of SAC305 joint-scale solder specimens: (i) M90 specimen (tensile stress state), where the solder joint is oriented perpendicular to the loading axis; (ii) M0 specimen (shear stress state), where the solder joint is oriented parallel to the loading axis; and (iii) M45 specimen (with multiaxial stress state), where the solder joint is oriented at an angle of 45° to the loading axis. Digital Image Correlation (DIC) technique is used to measure solder deformation. Cyclic equivalent strain range is estimated for each of the three loading conditions and used for comparing fatigue durability (by constructing strain-life fatigue curves) under these three different stress states. Failure analysis is conducted on the tested specimens, using SEM to understand and document the observed failure modes. Preliminary results indicate significant difference in fatigue life and failure modes of solder joints in tensile vs. shear mode. Few-grained SAC solder joints are found to exhibit poor tensile fatigue resistance compared to shear fatigue resistance. The multiaxial fatigue durability (M45 specimen) is found to be slightly worse than the shear fatigue durability. Findings of this study will provide better understanding of the contribution of axial loads and stress multiaxiality to damage and degradation mechanisms in few-grained SAC solder joints.
Super Wide band Miniaturized Patch Antenna Design for 5G communications

This manuscript presents a super-wideband slotted Y shaped antenna for 5G communication. Proposed Antenna is designed on ROGERS RT6002 substrate with a highly miniaturized dimension of 4mm x 4mm x 0.762mm. A narrow band rectangular patch is modified to get a super wide bandwidth of 56.13GHz with reference to −10dB return loss. The proposed antenna is designed using CST, the antenna shows a moderate stable value of efficiency and gain. To demonstrate the potential of the proposed antenna it is compared with wideband antenna present in literature.
Estimation of EMG-Based Force Using a Neural-Network-Based Approach

The dynamics of human arms has a high impact on the humans’ activities in daily life, especially when a human operates a tool such as interactions with a robot with the need for high dexterity. The dexterity of human arms depends largely on motor functionality of muscle. In this sense, the dynamics of human arms should be well analyzed. In this paper, in order to analyse the characteristic of human arms, a neural-network-based algorithm is proposed for exploring the potential model between electromyography (EMG) signal and human arm’s force. Based on the analysis of force for humans, the mean absolute value of the electromyographic signal is selected as the input for the potential model. In this paper, in order to accurately estimate the potential model, three domains fuzzy wavelet neural network (TDFWNN) algorithm without prior knowledge of the biomechanical model is utilized. The performance of the proposed algorithm has been demonstrated by the experimental results in comparison with the conventional radial basis function neural network (RBFNN) method. By comparison, the proposed TDFWNN algorithm provides an effective solution to evaluate the influence of human factors based on biological signals.
Multi-bit Stuck-at Fault Recovery System With Error Correction Pointer

Repetitive writes in resistive memory(ReRAM) cells may limit the cell life time causing stuck-at faults. Malicious attack increases the probability of failures at multi-bit positions of a memory block designed by this technology. A scalable fault tolerant design is required for sustainability with increased number of faults. This work proposes a fault diagnosis (identification of the position of the faulty cell’s) scheme to mitigate the impact of faulty data recordings mainly on large word-sized resistive memory blocks. Theory of cellular automata(CA) is used to check the presence of single/multiple faulty cells within a memory block at run time. Uniform/non-uniform CA is used to test the faulty/non-faulty(NF) memory blocks. Two distinct classes of CA, one single length cycle attractor CA(SACA) and two single length cycle attractor CA(TACA) are found suitable for fault detection purpose. Further, the error correction pointer(ECP) is used to diagnose the faulty cell position within a memory block. Error Correction pointers are distributed to capture the faults at run time according to the demand of memory blocks. This design named Cellular Automata based error correction pointer(CECP ) doesn’t put any restriction to the number of faults. Therefore it ensures 100% fault tolerance against multi-bit stuck at faults in a resistive memory and also assures correct retrieval of data efficiently.
Hybrid Method to Implement a Parallel Search of the Cryptosystem Keys

The current paper proposes a method to combine the theoretical concepts of the parallel processing created by the DNA computing and GA environments, with the effectiveness novel mechanism of the distinction and discover of the cryptosystem keys. Three-level contributions to the current work, the first is the adoption of a final key sequence mechanism by the principle of interconnected sequence parts, the second to exploit the principle of the parallel that provides GA in the search for the counter value of the sequences of the challenge to the mechanism of the discrimination, the third, the most important and broadening the breaking of the cipher, is the harmony of the principle of the parallelism that has found via the DNA computing to discover the basic encryption key. The proposed method constructs a combined set of files includes binary sequences produced from substitution of the guess attributes of the binary equations system of the cryptosystem, as well as generating files that include all the prospects of the DNA strands for all successive cipher characters, the way to process these files to be obtained from the first character file, where extract a key sequence of each sequence from mentioned file and processed with the binary sequences that mentioned the counter produced from GA. The aim of the paper is exploitation and implementation the theoretical principles of the parallelism that providing via biological environment with the new sequences recognition mechanism in the cryptanalysis.
Broad Phoneme Class Specific Deep Neural Network Based Speech Enhancement

In this work, we present a speech enhancement algorithm using broad phoneme class specific deep neural networks (DNNs). We build a classifier network to obtain the probabilities of each class in every test frame. The enhanced speech is obtained as the linear combination of the outputs from these class specific DNNs with combination weights as the probabilities predicted by the classifier network. We experiment with two (vowel and non-vowel) and four (vowel, stop, fricative, nasal) broad phoneme classes. Experiments are performed using speech data from TIMIT corpus, nine noise types (four seen and five unseen), and four SNR conditions. Experimental results show that the proposed class specific DNN approach outperforms the single DNN based speech enhancement scheme for both seen and unseen noise types in all SNR conditions considered.
Design and Implementation of Various Antenna for Smart Watch Applications

Nowadays wearable devices with less radiation and enhanced performance are playing a vital role in wireless body area networks. In this paper silicon belt based smart watch has been proposed to optimize the performance in terms of speed and trade off. This antenna supports LTE and 5G cellular bands covering a frequency range between 600 MHz and 3 GHz. The antenna performance is considered for parameters like free space, Hand phantom and on real user. The specific-absorption rate (SAR) limit prescribed by the Federal Communication Commission is also included in this paper. The aim of our proposed system is to reduce the cost of the smartwatch by replacing Rubber instead of silicon metal hence harmful effects caused by radiation can be reduced.
Color Image Segmentation Using a Fuzzy Inference System

A novel method is proposed in the scope of image segmentation that solves this problem by breaking it into two main blocks. The first block’s functionality is a method to anticipate the color basis of each segment in segmented images. One of the challenges of image segmentation is the inappropriate distribution of colors in the RGB color space. To determine the color of each segment, after mapping the input image onto the HSI color space, the image colors are classified into some clusters by exploiting the K-Means. Then, the list of cluster centers is winnowed down to a short list of colors based on a set of criteria. The second block of the proposed method defines how each pixel of the input image is mapped onto a specified list of segmentation centers (obtained from the previous block). Usage of the Fuzzy Inference System (FIS) is the solution of this paper to allocate a segmentation center to each image pixel. The rules which the FIS utilizes are designed based on the color of each pixel and its nearby neighborhood. To assess the capability of this method, it is applied to the BSDS500 dataset. The structure of proposed method causes the ability of parallel programming which speeds up the run-time. The experimental results illustrate the superiority of the proposed method over the state-of-the-art methods in the image segmentation.
Servo Driver Inverter Circuit Based on Pure Resistance Current Sampling

The current sampling method is the key to determine the performance of the servo driver, and widening the current loop bandwidth is one of the main ways to improve the dynamic performance of the driver. This paper proposes a scheme based on purely resistive sampling of the output phase current of the servo driver. That is, the two-phase current of PMSM is sampled by pure resistance, and the phase current analog signal is analog-digital converted by TI's AMC1204. The phase current is analog filtering and digital filtering to improve the sampling effect of the phase current. Finally, the experimental results show that the designed servo driver current loop bandwidth frequency reaches 1.8kHz, which is much higher than the Hall current sensor scheme (current loop bandwidth frequency is 1.2kHz), which greatly improves the dynamic performance of the servo system.
Excitation Source Feature for Discriminating Shouted and Normal Speech

Dynamics of shouted speech production significantly vary from that of normal speech. These variations can be analyzed from excitation source information by using differenced electroglottogram (DEGG) signal. This work has two contributions. First, the proposal of a novel Glottal Open Phase Tilt (GOPT) feature derived from DEGG signal for discrimination of shouted and normal speech. Second, the construction of a database of speech and corresponding EGG signals for performance analysis of the proposed feature. In case of shouting, vocal folds vibrate faster and close abruptly. This leads to relative proximity of glottal opening and the following closing instances. This motivated the proposal of tilt feature for discriminating shouted from normal speech. The proposed feature is also extracted from ILPR signals that are known to approximate DEGG signals. Experiments on the collected dataset have provided shouted speech detection rate of 90.9% for DEGG and 76.37% for ILPR signals,
Confocal microwave imaging algorithm for breast cancer detection based on a high directive corrugated vivaldi antenna pulses

In this paper, a high directive corrugated vivaldi antenna is presented for breast cancer detection. The corrugated structure of the proposed antenna is based on a modified conventional tapered slot Vivaldi antenna, which consists of introducing duplicating slots on its edges. The proposed design approach is simple with low manufacturing cost. It has an overall size of 53x90x0.6, made of FR4 substrate with a dielectric constant of 4.3. Results indicate that due to the addition of these slots, significant improvement in antenna directivity has been achieved along with relative increase in gain. In order to test the efficacy of this antenna in detecting tumor and reconstructing its image, we integrate the confocal microwave imaging (CMI) algorithm with our proposed antenna to detect the breast tumor. For that, a breast model with embedded tumor is numerically carried out by the FDTD method. The breast was illuminated with a Gaussian pulse from a number of antenna locations, and the backscattered data are processed to obtain the image of tumor. Numerical simulations and modeling shows that the proposed antenna is capable of detecting tumor with high resolution, fulfilling the design requirements and the performance goals.
Dominant-wavelength measurements in liquid-liquid systems

The paper presents dominant wave-length measurements seen on a liquid jet surrounded by another immiscible liquid. Two similar phenomena are investigated: the natural breakup process of liquid jet and the phenomenon of a jet impacting a flat fluid interface, bounded not to break into droplets. In both cases a dominant wave develops causing either the break-up of the jet or the instability of the liquid column. The measured dominant wavelengths are then compared with the theoretical predictions of the model of Tomotika. We find that the inertia-less model provides more accurate predictions in terms of the dominant wave-length for the case of a jet impacting on a flat fluid interface.
Analysis on Homomorphic Properties of Attribute involved Probabilistic Public Key Cryptosystem based on Sylow P-subgroups

The homomorphic cryptosystems have several applications such as online voting system, threshold, adhoc networks and mix nets. The cryptosystems are called homomorphic cryptosystems if they encompass the homomorphic properties. In this kind of cryptosystem, performing any algebraic operation (addition or multiplication) on two ciphertexts returns an encryption of the result of that operation on the two corresponding plaintexts. Thus the computations are performed on encrypted data without revealing the original messages. In this analysis, we review the homomorphic properties of the public key cryptosystems and their applications in various protocols. We also analyze the model of Attribute involved Probabilistic Public Key cryptosystem (APPKC), based on Sylow P-subgroups. This public key cryptosystem has a property called randomization that is producing variant ciphertexts for given plaintext with different random values. This cryptosystem also serves the homomorphic properties. Here we discuss the partial homomorphic features of the scheme
Transient Association of the HNK‐1 Epitope with 5′‐Nucleotidase during Development of the Cat Visual Cortex

During early postnatal development of the kitten visual cortex the ectoenzyme 5′‐nucleotidase undergoes a characteristic redistribution. Until about postnatal week 6 it is essentially confined to synaptic contacts in input layer IV and its expression is related to the use‐dependent segregation of thalamic afferents into ocular dominance columns. Subsequently, 5′‐nucleotidase becomes distributed uniformly throughout all layers and is then associated selectively with glial cells. Here we describe an age‐dependent alteration in the expression of a carbohydrate epitope of 5′‐nucleotidase which correlates with the developmental change of the enzyme's localization. We have isolated 5′‐nucleotidase from the occipital cortex of kittens of varying age and from adult cats and investigated by immunoblotting the association of the HNK‐1 carbohydrate epitope with the protein. 5′‐Nucleotidase carries the HNK‐1 epitope in kittens of 3–9 weeks but the epitope is absent from 12‐week‐old kittens or adult cats. Thus, the appearance of the HNK‐1 epitope correlates with the transient localization of the enzyme at synapses. The HNK‐1 carrying 5′‐nucleotidase may be involved in synaptogenesis and use‐dependent modifications of synaptic connections.
Design and Characteristic Study of New Array Geometry Antennas for [4–8] GHz Frequency Band Radar Purpose

Our objective in this work is to conceive an array antennas with high radiation performance for 4–8 GHz range frequency, especially for weather radars Interest. The proposed structure geometry is planar engraved onto a Flame Resistant 4 substrate of $118\times 100\times 1.58$ mm3 dimensions. The bandwidth accomplished by this geometry antenna is approximately 115%, it's simple and it will provide the broad bandwidth with high radiation performance which are needed for several radar. The characteristics of this array antennas are studied and optimized based on HFSS simulator tool and compared by CST.
An Inspiritaonal tool for Enriching Contemporary Higher Education: Cloud Computing

Higher education institutions may be government or private, are under severe budgetary control while realizing their IT infrastructure to develop and provide various services to the students, the parents, the faculty and the members constituting as potential stake holders. There is no doubt that public sector counterparts have been abundantly funded by the government. Still then they strive to optimize their capital and operational expenditure for building up an IT infrastructure. The universities are expected to resort to the Conceptual Cloud Computing model of leasing infrastructure through cloud providers and outsource provisions for cloud service to the stake holders through uses which motivates enhancement of efficiency. The process facilitates a value added knowledge transfer on the progression knowledge base for all stakeholders of the university. The deployment of such information technologies, in educational institutions, requires appropriate and effective management. Many higher educational institutions affiliated to the different universities may not afford this large investment cost of implementing new technologies. The main objective of the proposed work is to analyze and suggest for implementation citing the advantages of this Conceptual Cloud Computing model for educational institutions, and to reveal its potential features which would create an innovative learning environment among all its stake holders.
Command Governor Based Adaptive Control for Constrained Linear Systems

This paper presents a novel control method for constrained linear systems with model uncertainties. The proposed method achieves a near performance to the reference system, adaptability to the model uncertainties and meet all the state-constraints at the same time. The design of such a method involves a command governor and a model reference adaptive controller. The command governor adjusts the command signal based on the information of the nominal system to make the nominal system behaviors meet all the constraints. The adaptive controller compensates the model uncertainties of the actual plant, which makes the system to mimic the nominal closed-loop system. As a consequence, the real system can realize a quite near performance of the nominal system with stability and robustness, without violating any constraints.
Ensuring trust and confidentiality for adaptive video streaming in ICN

With the dissemination of huge amount of video content over the internet, information centric networking (ICN) has emerged as a potential candidate to effectively exploit it and improve the QoS. ICN decouples content from its location by caching, which can later be retrieved by consumers from their nearest locations. Various experimental studies have depicted the performance merits of dynamic adaptive streaming via HTTP (DASH) over ICN for improving QoS. However, there are two challenges that need to be addressed in the context of DASH over an ICN environment. The first one from content consumer domain is that the relevance, integrity, and provenance (RIP) of content should be guaranteed. RIP ensures trust establishment between publisher and consumer of content. The second one that concerns the content publisher is the confidentiality of DASH media, so that any consumer can view the particular quality or resolution of video based on his designated privileged rights. We address these two mentioned issues with the context of DASH over ICN. The performance and security analysis of our scheme depict its effectiveness for enforcing access control of adaptive streaming media in an ICN environment.
Maternal PRKAA1 and EDNRA genotypes are associated with birth weight, and PRKAA1 with uterine artery diameter and metabolic homeostasis at high altitude

[PDF] [Full Text] [Abstract] , October 15, 2014; 28 (20): 2189-2204. Genes Dev. Abigail W. Bigham and Frank S. Lee Human high-altitude adaptation: forward genetics meets the HIF pathway [PDF] [Full Text] [Abstract] , March 5, 2015; 370 (1663): . Phil. Trans. R. Soc. B Vargas and Lorna G. Moore Vaughn A. Browne, Colleen G. Julian, Lillian Toledo-Jaldin, Darleen Cioffi-Ragan, Enrique Uterine artery blood flow, fetal hypoxia and fetal growth
Avances en el Desarrollo de un Sistema de Recuperación de Información para Publicaciones Científicas del Área de Ciencias de la Computación

Para el investigador, la busqueda de informacion en la web se ha convertido en una actividad basica en los ultimos anos. Esto se debe a la gran cantidad de material disponible, situacion que conlleva complejidad a la hora de establecer una seleccion del material a utilizar en base a su calidad. En este contexto, la incorporacion en lo cotidiano de herramientas como son los Sistemas de Recuperacion de Informacion puede resultar de utilidad para la optimizacion del proceso de busqueda de informacion en la web, en especial cuando son desarrollados para contextos de aplicacion especificos. La constante actualizacion y mejora de los procesos implementados en este tipo de herramientas de ayuda al investigador, se plantea como una actividad que debe sostenerse en el tiempo. En el presente trabajo se presentan avances en el desarrollo de los componentes principales de un meta-buscador cuyo objetivo es la recuperacion de documentos cientificos del area de ciencias de la computacion. Las mejoras introducidas corresponden al metodo para la expansion de las consultas ingresadas por los usuarios y al algoritmo de ranking, el cual es utilizado para la valoracion de la calidad de cada documento recuperado por el SRI y para el establecimiento del orden de cada resultado en el listado a presentar al usuario.