Miracle-dz/UniFAR-FTUs huggingface dataset:
The human movement identification using the radio signal strength in WBAN

This paper investigated the feasibility of using the radio signal strength of sensors placed around the human body in the human movement identification. This proposed method can identify the human movement in WBAN using only the radio signal strength, thus any additional tools are not necessary. OpenNICTA provides the BAN measurement channel in three kinds of human motions, which are running, walking and standing. This paper used three sets of the measurement data, which Tx-Rx located at Back-Chest, RightAnkle-Chest, and RightWrist-Chest. Each data set was separately used to identify the movements. This paper used two types of machine learning, which are neural network and decision tree. In the neural network, it has been found that using eight types of features, which are SCP, Range, SSI, RMS, LCR, SC, WAMP, Histogram, calculated from 200 continuous received signal levels can identify the human movements with accuracy rate of 90.41-98.83 percent. Using the same features, the decision tree can identify the human movements with the accuracy rate of 99.04-99.66 percent. Both tools perform well on the human movement identification. However, the decision tree outperforms the neural network in this task.
DNA methylation in insects: on the brink of the epigenomic era

DNA methylation plays an important role in gene regulation in animals. However, the evolution and function of DNA methylation has only recently emerged as the subject of widespread study in insects. In this review we profile the known distribution of DNA methylation systems across insect taxa and synthesize functional inferences from studies of DNA methylation in insects and vertebrates. Unlike vertebrate genomes, which tend to be globally methylated, DNA methylation is primarily targeted to genes in insects. Nevertheless, mounting evidence suggests that a specialized role exists for genic methylation in the regulation of transcription, and possibly mRNA splicing, in both insects and mammals. Investigations in several insect taxa further reveal that DNA methylation is preferentially targeted to ubiquitously expressed genes and may play a key role in the regulation of phenotypic plasticity. We suggest that insects are particularly amenable to advancing our understanding of the biological functions of DNA methylation, because insects are evolutionarily diverse, display several lineage‐specific losses of DNA methylation and possess tractable patterns of DNA methylation in moderately sized genomes.
Direct adaptive fuzzy control for a two-link space robot

An adaptive fuzzy logic control scheme is developed for tracking a square trajectory by the endpoint of a two-link rigid joint space robot. The control strategy is based on a direct adaptive control scheme in which the controller gains are adapted in real-time according to fuzzy logic systems such that the tracking errors between a reference model and the actual robot system outputs are brought to zero.
Where is pragmatics in optimality theory

This paper deals with the architectural issues of pragmatics within an overall account of natural language in optimality theory. It is argued that pragmatics can be seen as an optimisation problem described by its own constraint system which lies outside the constraint system that defines grammar (the production oriented OT models of syntax and phonology). Speaking and hearing both involve grammar and pragmatics, but in different ways. The paper argues against the popular view that grammar and interpretation should be mixed into a symmetric constraint system and connects the proposed architecture with the views that underlie the motor theory of understanding and the mirror neuron theory of understanding behaviour.
An Iterative Weighted KNN (IW-KNN) Based Indoor Localization Method in Bluetooth Low Energy (BLE) Environment

With the dense deployment of low power node such as Internet of Things (IoT), indoor localization is growing rapidly, has gained a lot of interests in commercial applications. This paper proposes an Iterative Weighted KNN (IW-KNN) indoor localization method based on RSSI (Receive Signal Strength indicator) of the BLE (Bluetooth Low Energy), which has a low power consumption, a long life expectancy. An enormous amount of RSSI are collected to build a fingerprints database. IW-KNN has three principal improvement approaches. Firstly, Euclidean distance, Cosine similarity are combined to measure the similarity of two RSSI vectors, which can take both length, direction of vector into consideration. Secondly, unlike traditional KNN (K Nearest Neighbors) which estimates a position by a majority vote of its neighbors, a weighting factor is applied to neighbors for localization. Thirdly, IW-KNN selects different iBeacons to obtain RSSI at each iteration, calculates the mean position as the final result after several iterations. Compared with several indoor localization methods, namely, traditional KNN, Similarity improved KNN, Weighted KNN, IW-KNN can estimate positions effectively, decrease the mean error by 1.5 to 2.7 meters in our experimental environment.
Implementation and Closed Loop Identification of a Two Wheeled Inverted Pendulum Mobile Robot

In this paper the hardware development for the implementation of a Two Wheeled Inverted Pendulum (TWIP) and the closed loop identification process is described. In the identification process, a linear model for a single-input multiple-output (SIMO) system is used for representing the robot dynamics. The Sum of the Square Error (SSE) is adopted as the comparison criteria between the output of the simulated model and the output data measured from the robot implemented.
Software Pipelining Irregular Loops On the TMS320C6000 VLIW DSP Architecture

The TMS320C6000 architecture is a leading family of Digital Signal Processors (DSPs). To achieve peak performance, this VLIW architecture relies heavily on software pipelining. Traditionally, software pipelining has been restricted to regular (FOR) loops. More recently, software pipelining has been extended to irregular (WHILE) loops, but only on architectures that provide special-purpose hardware such as rotating (predicate and general-purpose) register files, specific instructions for filling/draining software pipelined loops, and possibly hardware support for speculative code motion. In contrast, the TMS320C6000 family has a limited, static register file and no specialized hardware beyond the ability to predicate instructions using a few static registers. In this paper, we describe our experience extending a production compiler for the TMS320C6000 family to software pipeline irregular loops. We discuss our technique for preprocessing irregular loops so that they can be handled by the existing software pipeliner. Our approach is much simpler than previous approaches and works very well in the presence of the DSP applications and the target architecture which characterize our environment. With this optimization, we achieve impressive speedups on several key DSP and non-DSP algorithms.
Why is collaboration needed in OSS projects? a case study of eclipse project

In open source software development, the collaboration among developers is the key to improve software quality. In particular, to fix a bug related to various parts of a system, developers need collaboration because each developer usually has very limited knowledge about a large software system. This paper aims to clarify how narrow (or how wide) is each developer's knowledge area in the Eclipse project, and how often do developers need to collaborate with each other. As a result of analysis, we found that 50 % of committers take care of just one or two modules, which indicates the necessity of collaboration when a bug-fix affects multiple modules. In addition, we also found the significant relationship between committers' collaborations and the re-opened bugs. We conclude that a committer should be aware the risk of re-opened bugs caused by the collaboration.
Structured Aspect Extraction

Aspect extraction identifies relevant features from a textual description of an entity, e.g., a phone, and is typically targeted to product descriptions, reviews, and other short texts as an enabling task for, e.g., opinion mining and information retrieval. Current aspect extraction methods mostly focus on aspect terms and often neglect interesting modifiers of the term or embed them in the aspect term without proper distinction. Moreover, flat syntactic structures are often assumed, resulting in inaccurate extractions of complex aspects. This paper studies the problem of structured aspect extraction, a variant of traditional aspect extraction aiming at a fine-grained extraction of complex (i.e., hierarchical) aspects. We propose an unsupervised and scalable method for structured aspect extraction consisting of statistical noun phrase clustering, cPMI-based noun phrase segmentation, and hierarchical pattern induction. Our evaluation shows a substantial improvement over existing methods in terms of both quality and computational efficiency.
Acoustic Echo Cancellation for Multiple Reproduction Channels: From First Principles to Real-Time Solutions

Multichannel acoustic echo cancellation (MCAEC) is a key technology whenever hands-free and full-duplex communication in modern systems with multichannel sound reproduction is desired. Although the basic principle of echo cancellation has been well known for several decades, the multichannel case poses some additional and fundamentally different challenges. Moreover, there are even some notable differences between the two-channel case and the general multichannel case which has been addressed bit by bit only in recent years. The aim of this paper is twofold. On the one hand, after a brief review of the problem of multichannel acoustic echo cancellation, this paper gives an outline of how the problem may be tackled based on some fundamental principles. In this sense, the presentation in this paper brings together for the first time ideas from system theory, information theory, psychoacoustics, and also wave physics. Based on this framework, and as the other main contribution, we present in this paper some recent advances in the field of MCAEC. Thereby, important issues in the case of more than two channels are emphasized. Finally, as an outlook, we touch on our ongoing work towards MCAEC for massive multichannel sound reproduction, such as wave field synthesis.
Automating Information Flow Analysis of Low Level Code

Low level code is challenging: It lacks structure, it uses jumps and symbolic addresses, the control flow is often highly optimized, and registers and memory locations may be reused in ways that make typing extremely challenging. Information flow properties create additional complications: They are hyperproperties relating multiple executions, and the possibility of interrupts and concurrency, and use of devices and features like memory-mapped I/O requires a departure from the usual initial-state final-state account of noninterference. In this work we propose a novel approach to relational verification for machine code. Verification goals are expressed as equivalence of traces decorated with observation points. Relational verification conditions are propagated between observation points using symbolic execution, and discharged using first-order reasoning. We have implemented an automated tool that integrates with SMT solvers to automate the verification task. The tool transforms ARMv7 binaries into an intermediate, architecture-independent format using the BAP toolset by means of a verified translator. We demonstrate the capabilities of the tool on a separation kernel system call handler, which mixes hand-written assembly with gcc-optimized output, a UART device driver and a crypto service modular exponentiation routine.
Island Multicast: Combining IP Multicast With Overlay Data Distribution

Traditional overlay protocols use unicast connections to form delivery trees. While it can achieve global multicast across the Internet, it is not as efficient as IP multicast. In this paper, we integrate IP multicast into overlay data distribution to improve delivery efficiency. We investigate island multicast where unicast connections are used to connect multicast domains and IP multicast is used within multicast domains. We first explore a centralized island multicast protocol (termed CIM), which relies on a central server to construct a delivery tree. We then study a distributed protocol (termed DIM), where hosts can distributedly join islands and form a delivery tree. We study the key issues in both protocols. We also discuss how to apply these protocols to media streaming applications. We have evaluated both protocols on Internet-like topologies. We have also implemented a prototype for CIM and tested it on PlanetLab. The results show that our approaches can significantly im prove network performance as compared to pure overlay protocols. Our study shows that it is important to consider local multicast capability when designing overlay protocols.
The Improvement of Audio Noise Reduction System Based on LMS Algorithm

This paper, based on the original LMS algorithm, proposed a novel method with wavelet preprocessing and signal is used as reference input to improve the noise reduction effect of the adaptive noise cancellation system. The new algorithm, in the presence of impulse noise, low SNR environment, has a higher amount of noise reduction than the original LMS algorithm based on adaptive noise cancellation system with better effect in reducing noise. The method first used wavelet packet threshold noise reduction algorithms, including impulse detection and de-noising, to remove the impulse part of the noise. Then the residual noisy signal is eliminated by adaptive noise cancellation system based on LMS which has signal as the reference input. Finally, the multi-group simulations are compared. Simulation results show that the improved adaptive noise cancellation system do have better noise reduction and practical value.
HUBUNGAN ANTARA INTENSITAS PENGGUNAAN SITUS JEJARING SOSIAL (FACEBOOK) DENGAN HARGA DIRI (SELF-ESTEEM) PADA SISWA-SISWI SMK NEGERI 1 MERANGIN – JAMBI TAHUN 2011

Beberapa tahun ini, prevalensi penggunaan internet telah meningkat pesat khususnya kepada penggunaan situs jejaring sosial. Salah satu situs jejaring sosial yang terkenal saat ini adalah Facebook. Facebook merupakan situs internet yang dibuat oleh Mark Zuckerberg pada tahun 2004. Meluasnya fenomena penggunaan situs jejaring sosial seperti Facebook ternyata diikuti oleh munculnya kasus-kasus akibat penyalahgunaan ini, seperti melarikan diri dari rumah hingga kasus pencabulan. Akan tetapi penggunaan situs jejaring sosial Facebook tidak selalu membawa hal yang buruk. Diduga intensitas penggunaan situs jejaring sosial membawa keuntungan positip bagi mereka yang memiliki harga diri rendah. Dari masalah di atas, tujuan penelitian ini adalah melihat hubungan antara intensitas penggunaan situs jejaring sosial Facebook dengan harga diri pada siswa-siswi SMK Negeri 1 Merangin-Jambi tahun 2011. Penelitian ini dimulai dari tanggal 18 Mei 2011-25 Mei 2011 di SMK Negeri 1 Merangin-Jambi dengan jenis rancangan penelitian korelasional. Sampel penelitian yang digunakan sebanyak 214 orang. Dan untuk mengukur intensitas Facebook digunakan kuisioner Facebook Intensity Scale (r = 0,744 pada 62 sampel), sedangkan untuk mengukur harga diri digunakan kuisioner Rosenberg’s Self-Esteem Scale (r = 0,72). Analisis statistik yang digunakan adalah uji Chi-Squares. Hasil penelitian ditemukan ada hubungan antara intensitas penggunaan situs jejaring sosial Facebook dengan harga diri (dengan p = 0,000 atau p < 0,05). Besar hubungan yang ditemukan dalam derajat “lemah” (p = 0,266). Kesimpulan dari penelitian ini adalah terdapat hubungan antara intensitas penggunaan situs jejaring sosial Facebook dengan harga diri dengan derajat hubungan yang lemah. Saran dan rekomendasi dari penelitian ini adalah mengaplikasikan dan meningkatkan intensitas penggunaan situs jejaring sosial yang aman dan nyaman agar terhindar dari penyalagunaan dan membawa keuntungan terhadap peningkatan harga diri khususnya harga diri remaja. Kata kunci: Harga diri, intensitas penggunaan Facebook, korelasional
Behavioral Coordination, Structural Congruence and Entrainment in a Simulation of Acoustically Coupled Agents

Social coordination is studied in a simulated model of autonomous embodied agents that interact acoustically. Theoretical concepts concerning social behavior are presented from a systemic per spective and their usefulness is evaluated in interpreting the results obtained. Two agents moving in an unstructured arena must locate each other, and remain within a short distance of one anoth er for as long as possible using noisy continuous acoustic interaction. Evolved dynamical recurrent neural networks are used as the control architecture. Acoustic coupling poses nontrivial problems like discriminating 'self' from 'non-self' and structuring production of signals in time so as to minimize interference. Detailed observation of the most frequently evolved behavioral strategy shows that interacting agents perform rhythmic signals leading to the coordination of movement. During coordination, signals become entrained in an anti-phase mode that resembles turn-taking. Perturbation techniques show that signalling behavior not only performs an external function, but it is also integrated into the movement of the producing agent, thus showing the difficulty of separating behavior into social and non-social classes. Structural congruence between agents is shown by exploring internal dynamics as well as the response of single agents in the presence of signalling beacons that reproduce the signal patterns of the interacting agents. Lack of entrainment with the signals produced by the beacons shows the importance of transient periods of mutual dynamic perturbation wherein agents achieve congruence.
Computational Fluid Dynamic Analysis of Notched Canard Arrangement in Cruise Missiles at Supersonic Flows

This paper tells about the CFD analysis of 2D Canard arrangement in supersonic cruise missiles. High heat dissipation rate causes the Canards to reduce its primary work of providing rotational stability to missile. This paper discusses about the criteria of choosing notched canard model against the present model. The models were designed in GAMBIT and analysed using FLUENT. Various pressure, temperature, velocity vector and XY plots were taken and studied as results. From the results it was clear that the new notched canard arrangement shows less heat dissipation rate against the existing models. This study would be helpful in designing new canard models for missiles esp. for Supersonic cases.
Forecasting the cost of unreliability for products with two-dimensional warranties

This paper addresses the effect of two- dimensional warranty policies on the procedure for forecasting the cost of unreliability. Automotive warranties are characterized by age or time in service and vehicle usage mileage. This paper presents a model where the usage time is a primary variable and the mileage accumulation is estimated from field return data. At each time interval the probability of exceeding the upper mileage limit on the warranty is calculated based on the mileage distribution and an analytical cumulative distribution function (CDF) of exceeding the upper mileage limit at any point of time is constructed. This modeling procedure accounts for an observed reduction in the number of warranty claims in the second half of the warranty period thus making it a more realistic evaluation of products with two-dimensional warranty policies. A case study using an automotive parts example in order to illustrate the methodology is provided.
DRINKING WATER HARDNESS AND CARDIOVASCULAR DISEASES : A REVIEW OF THE EPIDEMIOLOGICAL STUDIES 1979-2004

Cardiovascular diseases (CVDs) are among the main causes of mortality and morbidity in the industrialised countries and their main risk factors are hypertension, dyslipidemia, smoking, alcohol abuse, dietary habits and physical inactivity (1, 2). However, these classic factors do not entirely explain the variability of CVD mortality in different countries. In order to better understand the determinants of CVD, particular attention has been paid to environmental factors, such as weather, air pollution or the mineral content of drinking water (DW). Since the 1950s a causal relation between DW hardness and some CVDs has been hypothesized. The relationship between cardiovascular mortality and the mineral content of DW was first described by Kobayashi (3) in Japan and by Schroeder (4) in the United States. Since then, many epidemiological studies have been conducted worldwide, most of them describing a protective relationship between CVD mortality rates and DW hardness. The first series of studies were performed in the 1960s and 1970s. As noted in the previous chapter by Calderon and Craun, most studies had an ecological design and used mortality data from national registers; geographical areas were defined on the basis of administrative boundaries as units of analysis.
Combining Response Surface Methodology with Numerical Methods for Optimization of Markovian Models

In general, decision support is one of the main purposes of model-based analysis of systems. Response surface methodology (RSM) is an optimization technique that has been applied frequently in practice, but few automated variants are currently available. In this paper, we show how to combine RSM with numerical analysis methods to optimize continuous time Markov chain models. Among the many known numerical solution methods for large Markov chains, we consider a Gauss-Seidel solver with relaxation that relies on a hierarchical Kronecker representation as implemented in the APNN Toolbox. To effectively apply RSM for optimizing numerical models, we propose three strategies which are shown to reduce the required number of iterations of the numerical solver. With a set of experiments, we evaluate the proposed strategies with a model of a production line and apply them to optimize a class-based queuing system
Peculiarities of electromagnetic wave propagation through layers with ridge-shaped refractive index distribution

The problem of plane electromagnetic harmonic wave diffraction on a graded-refractive-index layer of some thickness is considered. It is assumed that refractive index of a layer monotonically increases and then monotonically decreases, thereby forming a ridge-shaped curve. Cases of the linear, parabolic and exponential permittivity profiles of the layer are investigated. The diffraction problem is reduced to an ordinary differential equation with appropriate boundary conditions. The problem for one layer is solved analytically; for several layers it is investigated numerically. Numerical analysis for a stack consisting of three layers, each of which having its own distribution of refractive index is carried out. Results showed that changing the order in which layers 1 and 3 are arranged with respect to each other does not alter dependence of transited energy on wavelength.