Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS TEKNIK RAGAM DIALOG DIAGNOSIS PENYAKIT BERBASIS SPK DENGAN SEMPLS

Decision support systems, commonly called DSS (or SPK in Bahasa), in medical used to diagnose illness. But within its implementation these systems are not used optimally. The main cause is the interface of the systems that is not accordance with the user wants. Three interface designs layouts were proposed for the phase of history and physical examination and two interface designs layouts for investigations to be assessed by the respondents. Based on the results of the questionnaires selected by respondents, statistical tests were performed to determine the value of the use of interface design based on the Technology Acceptance Model (TAM) and modified TAM. The statistical methods used to examine the effect of variables on TAM and modified TAM i.e. the Structural Equation Modeling Partial Least Square (SEM PLS) method. The results of this study indicate that the respondents’ choice in the TAM and modified TAM model for the history and physical examination is the same as the based filling system. While for the supporting stage there are differences of respondent choice on TAM model with choice of graphical interaction system and on modified TAM model with windowing system option.
Finite-Control-Set Predictive Current Control Based Real and Reactive Power Control of Grid-Connected Hybrid Modular Multilevel Converter

This paper proposes the grid application of modified three-phase topology of Modular Multilevel Converter (MMC) using finite-control-set predictive control. This topology has reduced number of switch counts compared to the conventional MMC, eliminates the problem of circulating current and having higher efficiency. A single dc source is required to produce sinusoidal outputs. The number of sub-modules (SMs) in this topology is half of the SMs required in case of MMC, in addition to a single H-bride circuit per phase. The finite-control-set predictive current control scheme for the grid connected dc source through the Hybrid Modular Multilevel Converter (HMMC). This controller controls the desired real and reactive power demand of the grid instantaneously. The simulation study of a three phase grid connected system has been done in Matlab/Simulink and the results are provided for the different real and reactive power demands, to validate the concepts.
Using Mathematical Method to Solve Gene Identification Research

For the identification of the gene sequences of the different types of biological "key" to construct the gene sequence screening model based on two -way clustering algorithm. First, the establishment of the FCM algorithm based on the primary model solution similar to clustering samples using two-way clustering algorithm optimized to filter out the "key" gene sequence. The problem of inaccurate forecasts for the experience of the threshold, the introduction of boots with a sampling algorithm based threshold model obtained cluster of clusters. Confidence level α = 0.05 under the highest confidence, in order to solve the species optimal threshold value selected. Checksum achieve the classification of genes coding interval 90% of the validity and accuracy of 88%, a 50% increase compared to the experience threshold algorithm. As for the random noise covering part of intron fluctuations, interfere with gene identification, the wavelet transform function is introduced into the DNA coding region prediction to filter the genes noise. Therefore, In order to solve drawbacks of coding region prediction imprecise, we establish a DNA sequence coding region prediction model based on wavelet transform. Using this model, the detection rate reached to 81%, 27% increase from the neural network method, the prediction accuracy reached to75%, 36% higher than the Fourier analysis.
How do you Analyze a Mutation of the Gene Consisting of One HundredExons

Volume 3 • Issue 3 • 1000138 Adv Tech Biol Med ISSN: 2379-1764 ATBM, an open access journal Today, responsible genes of about half of the estimated 7,000 Mendelian inherited diseases were identified, and genetic diagnosis in clinical practice is expanding for appropriate medical care and genetic counseling of the patient. At present, gold standard method of genetic diagnosis is still whole coding exon sequencing by Sanger method. This strategy is going well when analyze a small sized gene or analyze limited sequences of mutational hot spots of a large gene. However, this approach is expensive and time consuming, when the gene of interest has a large number of exons and you need to examine all of them. In the practice of clinical genetics, many syndromes are easily diagnosed by phenotypic appearances, clinical data and imaging studies. But disease causative genes of these syndromes are frequently large and contain no mutational hot spots, which prevents easy DNA analysis. For example, tuberous sclerosis complex is caused by either TSC1 (including 21 coding exons) or TSC2 (including 41 coding exons) mutation, and osteogenesis imperfecta is caused by either COL1A1 (including 51 coding exons) or COL1A2 (including 52 coding exons) mutation. What is the best way to analyze this class of DNA sequence for clinical use?
Bi-directional Power Control Mechanism for a Microgrid Hybrid Energy System with Power Quality Enhancement Capabilities

The interconnection of different loads and renewable energy sources such as photovoltaic system, wind turbines system and storage system to a distribution network leads to a new energy structure known as the Microgrid. This paper presents the analysis and operation of the microgrid hybrid energy system with power quality improvement features. In order to enhance the capacity to improve the power quality and stability of microgrid hybrid energy system, a hysteresis based bi-directional Power Transfer strategy with power harmonic filter is presented. This includes two modes i.e. inverter side power flow mode and DC/ DC converter side power flow mode. The inverter side power flow mode is defined as the method of extracting power from the DC Microgrid and using it to boost the grid, and the DC/DC converter mode utilizes the grid power to provide power back to the DC microgrid for feeding local DC loads. The scheme goals to: minimize the disturbance in the output voltage of DC/DC converter, regulate the output voltage of the 3-phase inverter, compensate the wind power and solar irradiance changes, bi-directional power transfer, to reduce the carbon emission from the ENNOR thermal power plant-India and to enhance the power quality of the system. Therefore a dc to dc converter is employed with bi directional power flow capabilities to integrate the wind and solar sources to the microgrid. A wind/solar hybrid microgrid model is developed using the MATLAB Simulink/SimPower systems toolbox.
GraviDy: a modular, GPU-based, direct-summation N-body code

Abstract The direct-summation of N gravitational forces is a complex problem for which there is no analytical solution. Dense stellar systems such as galactic nuclei and stellar clusters are the loci of different interesting problems. In this work we present a new GPU, direct-summation N-body integrator written from scratch and based on the Hermite scheme. The first release of the code consists of the Hermite integrator for a system of N bodies with softening. We find an acceleration factor of about ≈ 90 of the GPU version in a single node as compared to the Serial-Single-CPU one. We additionally investigate the impact of using softening in the dynamics of a dense cluster. We study how it affects the two body relaxation, as compared with another code, NBODY6, which uses KS regularization, so as to understand the role of softening in the evolution of the system. This initial release is the first step towards more and more realistic scenarios, starting for a proper treatment for binary evolution, close encounters and the role of a massive black hole.
Joint effect of channel coding and amr compression on speech quality

In this paper, we estimate the effect of joint Adaptive Multirate (AMR) compression and channel coding on quality of speech data. In our simulation, speech data are transferred over AWGN channel after performing 8 AMR codec modes (corresponding to 8 different compression rates) and 12 convolution code rates. The joint effect is estimated in the receiver by analyzing quality of received speech data by Mean Opinion Score. Our result shows that conventional scheme performing source coding and channel coding separately and sequentially does not guarantee obtaining the optimal solutions for speech data.
The Unanswered Question of Musical Meaning. : A Cross-Domain Approach

Designing meaningful audio for interactive applications such as video games or sonic user interfaces, presents designers with several challenges. One challenge is the fact that the perception of musical meaning involves cultural or learned aspects when it comes to tonality (Huron, 2006; Patel, 2008). For applied music and sound design, as cross-cultural phenomenon, this cultural specificity appears to be a significant disadvantage. Nevertheless, the history of interactive music in video games and sonic user interfaces illuminates many successful examples of meaningful musical icons in classic arcade games such as Pac-Man (1980), Donkey Kong (1981), Super Mario World (1990) and Pong (1972) and the user interface sounds of operating systems.
Practical Realization of an Improved Photovoltaic Grid Integration with MPPT

To enhance the tracking efficiency and effective system design of photovoltaic system (PV), maximum power point trackers (MPPT) are essential component. Here a 200 W grid connected PV power system is considered for efficient realization. The fuzzy logic controller (FLC) controlled MPPT method has been employed to obtain the optimal power from PV module. Also, a zeta buck –boost converter is proposed to reduce ripple in output which work as a MPPT tracker and provide amplification and reduction in input voltage level without polarity inversion. Space vector pulse width modulation (SVPWM) based 3- phase voltage source inverter (VSI) is employed as it has better dc link utilization, fast dynamic response, low switching losses and fixed switching pattern compared to other conventional current control. The simulation model is designed using MATLAB/Simulink environment and validated through real time dSPACE experimental control.
Emotion Detection from Text

Emotions are perceptions of changes in the human body such as heart rate, breathing rate, perspiration, and hormone levels. These conscious experiences are complex and studied extensively in different fields including computer science. Lack of facial expressions and voice modulations make detecting emotions from text a challenging problem. However, as humans are moving towards a digital era, with increasing mobile communication systems, it is essential that these digital agents are emotion aware, and respond accordingly. In this paper, we propose a novel approach to detect emotions like happy or sad in texts using an LSTM based Deep Learning model. Our approach consists of semi-automated techniques to gather training data for our model. We experiment with different embeddings and propose a solution using the best embedding for the task. Our work is evaluated on real-world tweets and significantly outperforms traditional Machine Learning baselines as well as other off-the-shelf Deep Learning models.
A Robust Sparse Signal Recovery Method with Matrix Uncertain by Using $l_2$-norm

Traditional sparse reconstruction algorithms require that the dictionary is accurately known, and the sparse recovery performance would degrade significantly with the measurement matrix uncertainty. In order to eliminate the effects of measurement matrix uncertainty, this paper proposed a robust reconstruction algorithm. Through the variance of additive errors, this algorithm incorporates the sparsity constraint and the effect of the additive errors from the statistical point at the same time. Numerical simulations demonstrated that the proposed method has a better reconstructing performance than the traditional methods.
Towards Optimal Request Mapping and Response Routing for Content Delivery Networks

The decision of request mapping—which server to handle user request and response routing—which transit route to carry response back to user has great impact on the performance and cost of Content Delivery Networks (CDNs). Request mapping and response routing are traditionally treated independently. The information invisibility and inconsistent objectives may lead to worse performance and high cost. However, the rapid globalization of Internet eXchange Points (IXPs) has facilitated the cooperation between CDN and ISP. In this paper, we consider request mapping and response routing jointly. We formulate the joint problem to navigate the performance and cost tradeoff. To solve the large-scale optimization, we develop a distributed tide algorithm based on Gauss-Seidel. The joint problem can be decomposed to sub-problems which allows for a parallel implementation. Experiment result shows that the relative error between our distributed tide algorithm that iterates within 50 rounds and theoretical optimum is about 0.7 percent. Furthermore, the parallel runtime demonstrates the efficiency of our algorithm.
Learning the Structure of Graphical Models Based on Discrete Time Series Data in the Context of Ambient Assisted Living

This work addresses the issue of building a probabilistic system in an ambient assisted living environment to ensure a proper living for older adults. The focus lies on the early prediction of human activities based on domotic sensor data which form a temporalsequential data set. In contrast to commonly used methods in sequential data mining, data in hidden streams and with variable temporal spans are considered. The aim in this context is to detect recurrent patterns in a stream of domestic sensor data using the TemporalPattern (T-Pattern) algorithm and to automatically generate probabilistic finite-state automata.
Quadrotors Unmanned Aerial Vehicles: A Review

Abstract Quadrotors are Vertical Take-Off and Landing aerial vehicles with many potential applications ranging from mapping to supporting rescue operations. This paper aims to provide an overview on various works carried out on the quadrotor, from the perspective of control and dynamic modelling. Also in this paper, based on the information summarized from 160 researches available, different control targets and flight missions are analysed and classified, and according to it, a general flight mission map is introduced. In addition, history of advances in development of quadrotors and set-ups proposed when performing experimental researches on quadrotors is presented
Authentication system for device-to-device communication and authentication method therefore

An authentication system for device-to-device (D2D) communication and an authentication method thereof are provided. The authentication system further includes first user equipment (UE) and an authentication server (110). The authentication server (110) is located within a communication range of the first UE. When the first UE sends a connection request to the authentication server (110), the authentication server (110) performs a routine authentication procedure on the first UE and provides key generation information to the first UE. The authentication server (110) generates a server key according to the key generation information and a key derivation procedure. The first UE generates an equipment key according to the key generation information and the key derivation procedure to obtain authentication for D2D communication, such that the first user equipment and a second UE obtaining the authentication for D2D communication directly perform the D2D communication without performing the D2D communication through the authentication server (110).
Automatic Virtual View Generation Based On View Morphing

This paper describes a novel method of view synthesis for a pair of images in a natural environment. Although previous view morphing can synthesize change in viewpoint, it requires camera viewpoints and control points by user input for post-warping. A new morphing method is presented that can generate in-between scenes automatically in this paper. Firstly, the fundamental matrix was estimated by corner matching, and then the rectification was taken to make image plane alignment, at last we can computes the arbitrary views between the pair of images through view morphing. The proposed method can not only generate realistic novel views quickly, but also ensure a natural and smooth image transition between the two images. It can be used in a variety of virtual reality applications to integrate image objects into virtual environments. Experimental results verify the validity of the proposed approach.
A hardware design of optimized ORB algorithm with reduced hardware cost

The conventional ORB algorithm is optimized for the hardware implementation. The optimized ORB algorithm is implemented on Zynq-7000 SoC Platform. SURF algorithm that is well known as a feature based algorithm is not suitable in the embedded environment, because it requires lots of calculations in the process. The proposed hardware accelerator reduces approximately 50% of internal memory usage and 25% of hardware logic compared to the conventional SURF accelerator, and it perform above 100 frames per second at 100MHz operation frequency.
Techniques neuronales et fusion de données appliquées à un système de détection de passage de véhicules "en-ligne"

:Nous présentons ici un système temps réel de détection de passage de véhicules au dessus de capteurs magnétiques. Le système est indépendant du positionnement initial des capteurs et insensible aux perturbations magnétiques fortes éventuellement induites par les charges des véhicules. Ce système est fondé sur la coopération d'agents de détection neuronaux, avec une mesure de fiabilité de leurs réponses, et une fusion des informations de chaque agent par des règles logiques. Le système est robuste à de fortes perturbations magnétiques (y compris non-périodiques), il utilise les 3 composantes du champ magnétique, il est insensible aux rotations, et la modularité de sa conception permet une
A unifying infrastructure for Internet services

Effective service delivery capabilities are critical to the transformation of the Internet into a viable commercial infrastructure. At the same time, there are several design limitations that prevent this. In this paper, we propose a novel service overlay architecture that serves as a flexible, unifying platform for delivering services over the Internet. We introduce a new addressing scheme and an associated service layer, which enables service-oriented routing and forwarding over the underlying IP network domain. We also describe the functionality of the network elements that are introduced by our architecture, namely service gateway (SG) and service point-of-presence (SPoP). We also present examples to demonstrate the efficacy of our architecture.
Trusted Big Data Capture and Transport Architecture for Wireless Sensor Network

As cloud computing developing rapidly, and Internet of Things and social network applying widely, data type and quantity are growing at an amazing speed. The era of big data has come. However, these create various challenges concerning: Capture, transport, storage, sharing, management, analysis, security, etc. How to trustfully and securely capture and transport data, is a very crucial issue for big data. In the paper, this work aims to construct a trusted big data capture and transport architecture. Firstly, the concepts of big data, trust and reputation, and wireless sensor network are discussed. Then a trusted big data capture and transport architecture using wireless sensor network is designed in detail. Moreover, some implementations of this architecture are described. Records and analysis show this trusted architecture is efficient, and can resist internal compromise attack and external attack.
New algorithms and methods for protein and DNA sequence comparison

International biological sequence databases hold information about protein and DNA molecules. The molecules are represented by sequences of characters. In analysis of this data algorithms for comparing the character sequences play a central role. Comparisons can be made using dynamic programming techniques to determine the score of optimal sequence alignments. Such methods are particularly popular with molecular biologists for they accommodate the kinds of differences which actually occur in the sequences of related molecules. Sequence alignments are normally scored using score tables based on an evolutionary model. The derivation of these score tables is re-examined and a formula giving an analytic counterpart to an empirical method for assessment of a score table's discriminating power is found. Use of the formula to derive alternative protein similarity scoring tables is discussed. A new approach to tackling the heavy computational demands of the dynamic programming algorithm is described: intensive optimisation of a microcomputer implementation. This provides an alternative to implementations which use parallel computers for searching protein databases. This thesis also describes how other implementational problems were tackled in order to make more effective use of the serial comparison software. The new software permitted comparison by optimal alignment of 32,000,000 pairs of sequences from a protein database using widely available and inexpensive hardware. The results from this search were then reorganised to facilitate the finding of previously unseen similarities. Software tools were written to assist with the analysis including software to align sequence families. From the results of this work, nine similarities are presented which do not appear to have been previously noted. The examples illustrate factors that are important in assessing similarities with scores close to the boundaries of significance. The similarities presented are of particular interest because of the biological functions they relate. One software tool developed for the sequence analysis work was a new multiple sequence alignment editor and sequence aligner, "Medal". Lessons from its use on real sequence data lead to a modification to the original comparison method to accommodate local variations in sequence similarity. Consideration is given to parallelisation of this modification and of the methods used to obtain speed in the serial software. Alternatives are suggested. The suggested parallel method to cope with variations in sequence similarity requires two interdependent sequence comparisons. A serial program using three interdependent comparisons is demonstrated and shows the feasibility of multiple interdependent comparisons. Examples show how this new program, "Fradho", can compare DNA sequences to protein sequences accommodating frameshifts.