Miracle-dz/UniFAR-FTUs huggingface dataset:
Occidente 2015-06-12 Multi-mode Flight Sliding Mode Control System for a

There is a wide range of applications for unmanned aerial vehicles that requires the capability of having several and robust flight controllers available. This paper presents the main framework of a multimode flight control system for a quadrotor based on the super twisting control algorithm. The design stages for the four flight control modes encompassing manual, altitude, GPS fixed and autonomous mode are presented. The stability proof for each flight mode is carried out by means of Lyapunov functions while the stability analysis for the complete system, when a transition from one mode to another occurs, is demonstrated using the switching nonlinear systems theory. The performance of the proposed framework is demonstrated in a simulation study taking into account external disturbances. Keywords–Multi-mode flight control; Sliding modes; Quadrotor.
Kobe University Repository : Kernel タイトル Tit le Decomposit ion techniques for t raining linear programming support vector machines 著者

In this paper, we propose three decomposition techniques for linear programming (LP) problems: (1) Method 1, in which we decompose the variables into the working set and the fixed set, but we do not decompose the constraints, (2) Method 2, in which we decompose only the constraints, and (3) Method 3, in which we decompose both the variables and the constraints into two. By Method 1, the value of the objective function is proved to be non-decreasing (non-increasing) for the maximization (minimization) problem and by Method 2, the value is non-increasing (non-decreasing) for the maximization (minimization) problem. Thus, by Method 3, which is a combination of Methods 1 and 2, the value of the objective function is not guaranteed to be monotonic and there is a possibility of infinite loops. We prove that infinite loops are resolved if the variables in an infinite loop are not released from the working set and Method 3 converges in finite steps. We apply Methods 1 and 3 to LP support vector machines (SVMs) and discuss a more efficient method of accelerating training by detecting the increase in the number of violations and restoring variables in the working set that are released at the previous iteration step. By computer experiments for microarray data with huge input variables and a small number of constraints, we demonstrate the effectiveness of Method 1 for training the primal LP SVM with linear kernels. We also demonstrate the effectiveness of Method 3 over Method 1 for the nonlinear LP SVMs.
DESIGN PARAMETER OPTIMIZATION BASED ON ARTIFICIAL BEE COLONY ( ABC ) ALGORITHM FOR MEMS ACCELEROMETERS

As MEMS technology continue to grow, MEMS device de sign optimization is becoming an interesting and important research issue. In order to design a MEMS device to meet the given specifications, the relationship between the device performance and var ious design parameters must be investigated. There ar various optimization algorithms that can produce an optimized design of MEMS. Designing of MEMS accelerometer may include the parameters like Beam l ngth, Beam width, Beam depth, Beam mass, proof mass etc. The primary intension of this research is to dentify the optimal parameters to design an ef fici nt accelerometer in MEMS. Here the optimization will b e done by using Artificial Bee Colony Optimization (ABC) algorithm. This algorithm will overcome the i ssues of GA and the ABC based design parameter optimization technique will helpful to design MEMs accelerometer architecture. The fitness is based on the parameter die area with specified range. The implem entation of the proposed method will be done by MatLab 7.12 and the performance will be analyzed wi th some existing methodologies.
Identifying Similarities: Sequence Comparison by Means of Alignments

Outline Bioinformatics is the study of biological information using computational approaches. It depends on knowledge of both the underlying biology and physical chemical information. It is important for the microbiologist to understand the basic methodologies used in bioinformatics, in order to be able to successfully apply available tools and correctly interpret results from the lab. Of these tools, sequence alignment methods, such as BLAST, are of crucial importance. This chapter will focus mainly on commonly used alignment tools for sequence-based methods of comparison. The chapter is clearly not an introduction to bioinformatics in general, as many aspects of the field are ignored. Instead, we provide here the basics that are tailored for use in later chapters, where bioinformatic tools are applied to the comparison of bacterial genomes.
IN MULTI-SCALE AND MULTI-DIMENSIONAL PROCESSES OF GLOBALIZATION

This study of multinational firms networks aim to explore the “duality” between world urban integration and firms’ networks extensions, focusing on the imbrication of multi-scale advantages and on differences between economic sectors. An empirical study is developed on the network of the 1 million ownership links between direct and indirect 800’000 subsidiaries of the 3’000 first multinational firms of the world. All units have been located at the scale of cities (delineated in a comparative way). The multi-scale approach and the multi-dimensional one (by activity sector) show the remaining coherence of national and continental territories that interplay with cities in order to support and create these global links. A very new approach showing the intra-urban links has revealed the importance of local linkages in the production of global networks. The main activities in the core of the whole networks are finance and information and communication, while the more growing sector seems to be the ones whose hierarchize more the cities: research and information-communication. In this respect, German cities and capital cities, which are specialized in these sectors, seem to have future advantage.
The Financial Attention Index to Measure Impact of Crisis from Microblog

This paper proposes a new financial index called Financial Attention Index (FAI) to measure an extent of a financial risk. A stock market drastically changes when many novice investors participate in it. At the same time, they often posts messages on Social Networking Service. Therefore, the FAI is calculated as ratio of financial related comments on microblog to detect a financial crisis. Furthermore, we train a model to predict future stock prices from a history of stock values and the FAI. Results of experiments show effectiveness of our proposed index to capture an impact of a financial crisis.
The Study of Audit Firm Tenure and Industry Specialization Influence on Earnings Management ( Emphasizing on Interim Financial Reports ) Evidenced From Iran

This study investigates the influence of industry specialization and Audit firm tenure on earnings management referring Tehran Stock Exchange companies. In this paper, 73 companies have been studied between the years 2008-2011.Using linear regression and different test, the hypothesis was examined. Those results indicate that industry specialization and audit firm tenure have negative effect on earnings management. also, the possibility of earnings management in companies auditing by specialized auditors in industry and having more than 4 years audit firm tenure, is different (or less than) from the companies which are not audited by those auditors.
Evidence for applying the concept of “ Terroir ” in cocoa ( Theobroma cacao L . ) flavour and quality attributes

Overall growth of the fine/flavour chocolate industry over the last decade has been linked to origin linked products such as dark chocolate bars. “Terroir” is concerned with the relationship between the characteristics of an agricultural product (quality, taste, style) and its geographic origin, which might influence these characteristics. This concept has been well documented in viticulture as the sensory attributes of wine have been related to the environmental conditions in which the grapes are grown. These effects are challenging to study in other crops such as cocoa where “terroir” effects similar to wines are implied in many origin specific dark chocolates but have never been systematically tested. Two experiments were conducted over three growing seasons to investigate the impact of growing environments and practices at different processing locations on the flavour attributes of selected cocoa varieties in Trinidad. The first experiment examined the influence of box fermentation at three different processing locations, with sun drying, on the flavour of six different cocoa clones each harvested from the same field. The second experiment examined the influence of four different growing environments on seven cocoa clones growing in at least two of four different sites. The sensory attributes of liquors prepared from the various samples from the two experiments were assessed using a trained sensory panel. The results showed significant processing and growing environment effects on several flavour attributes with significant clonal effects and processing and growing environment × clone interactions in the two experiments. Near infrared reflectance spectroscopic analysis of bean samples provided independent quantitative support to the sensory results obtained. The findings suggest that conditions and practices at different processing locations and growing environments may have significant impact on the flavour attributes of cocoa while the contribution of genotype to flavour could sometimes have a superseding influence with respect to certain flavour attributes. This work provides evidence and a scientific basis to support claims of “terroir” effects in cocoa for origin specific chocolates.
Multi-Objective Optimization of Gatling gun Tripod Based on Mesh Morphing and RBF Model

Large elastic deformation of Gatling gun tripod during the shooting process is an important factor affecting the firing accuracy. Mesh morphing and approximate model technique are comprehensively applied to the multi-objective optimization of gun tripod for improving its rigidity aiming at this problem. After finite element model of tripod is established, mesh morphing technique is utilized to define shape variables. The traditional dimension variables together with the shape variables defined by utilizing mesh morphing technique are combined to act as the design variables. Then optimal variables are screened out by Plackett-Burman design. Hammersley sampling is employed to generate uniformly distributed sampling points for fitting high-precision RBF model. Multi-Objective Genetic Algorithm is adopted to perform the optimization in which the longitudinal stiffness and transverse stiffness of tripod are defined as the objective functions while the mass of tripod leg is defined as a constraint function. The optimal solution can turn out that the longitudinal stiffness and transverse stiffness of tripod can be improved simultaneously by applying the proposed methodology to the multi-objective optimization for gun tripod. Key-Words: Mesh morphing; Design of experiments; RBF model; Multi-objective optimization
DEFOCUSING BLUR IMAGES BASED ON BINARY PATTERN SEGMENTATION CH

−When an image is captured by any optical imaging devices in that image, defocus blurs is the common undesirable thing. It is either enhance or inhibit the visual perception of an image scene.In different image processing operations like image restoration and object detection we required to segment the partially blurred image into blurred and non-blurred regions. Our existing sharpness metric in this paper based on Local Binary Patterns and a robust segmentation algorithm for the defocus blur. The existing sharpness metric exploits the observation that the majority local image patches in blurred regions have considerably fewer of bounds native binary patterns compared with those in sharp regions. Mistreatment this metric, beside image matting and multiscale inference, we have a tendency to obtain high-quality sharpness maps. Tests on hundreds of partially blurred images were used to evaluate our blur segmentation algorithm and six comparator methods this project canobtain high-quality sharpness maps by introducing the LLBP (line local binary pattern). The proposed algorithm may give that it achieves comparative segmentation results with the state of art and has big speed advantage over the others.
GENETIC DIVERSITY , POPULATION STRUCTURE AND MARKER TRAIT ASSOCIATIONS FOR QUANTITATIVE AND QUALITATIVE TRAIT S IN TOBACCO USING MICROSATELLITES

The current study was aimed to resolve the genetic diversity and relatedness of Nicotiana Spp. by using randomly distributed simple sequence repeats (SSR) loci across all chromosomes for exploration of marker and trait association. A set of 372 Nicotiana accessions were genotyped using 149 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. The study has revealed a total of 1721 alleles with mean PIC value of 0.47 and the mean heterozygosity of 0.53 for various loci. The model based population structure analysis inferred seven distinct subgroups which were further confirmed by classical molecular genetic diversity analysis. AMOVA analysis has explained that 6% of variation was due to difference between groups and the remaining 94% variation could be attributed by difference within groups. The result of cluster method of neighbour joining tree also separated same seven groups like structure analysis revealing that this population panel is suitable for the association analysis. The General, Mixed Linear and Q + ML Models were used to detect associations between markers and traits by considering population structure and relatedness. A total of 56whole genomic SSR markers showed significant associations with fifteen out of fifty four traits. FDR value considered for associations was>0.05. Our analysis revealed, 18 markers associated with chemistry traits. Similarly, a total of 33 markers associated with morphometric characters and 5markersassociated significantly with both chemistry and morph metric traits.
Reality Television as a Neoliberal Technology of Citizenship ?

The main purpose of this Dissertation is to examine the extent to which using a Foucauldian analytic of government in the form of a neoliberal technology of citizenship is relevant to the study of reality television in a non-Western country like Vietnam. In particular, the researcher has selected Điều Ước Thứ Bảy (Lại, 2014a), a local Vietnamese reality television programme produced by the state broadcaster Vietnam Television. The researcher has applied a Critical Discourse Analysis (CDA) framework to the analysis of a purposive sample of three episodes. The researcher argues that, while Điều Ước Thứ Bảy seems to champion neoliberal criteria of citizenship in the logic of choice and consumption, they point toward the continuing ability of the Vietnamese socialist state to promote a carefully selected version of neoliberal citizenship, one that not only differs from the Western interpretation but also aligns with state agenda. MSc Dissertation of Vu Anh Ngoc Nguyen
Revision 2 ) Raman Spectroscopy of Water-rich Stishovite and 1 Dense High-Pressure Silica up to 55 GPa 2

9 Recent studies have shown that mineral end-member phases (δ-AlOOH phase, phase H and 10 stishovite) with rutile-type or modified rutile-type crystal structures and solid solutions between 11 them in the MgO-Al2O3-SiO2 system can store large amounts of water and can be stable at high 12 pressures and high temperatures relevant to the Earth’s lower mantle. The Al-H charge coupled 13 substitution (Si " Al+ H) has been proposed to explain the storage capacity found in some 14 of these phases. However, the amount of H found in some recent examples does not match the 15 expected value if such substitution is dominant, and it is difficult to explain the larger water 16 storage in stishovite with such a mechanism alone. An octahedral version of the hydrogarnet-like 17 substitution (Si " 4H) has been proposed to explain the incorporation of protons in Al-free, 18 water-rich stishovite. Yet, the high-pressure structural behavior of OH in this phase has not yet 19 been measured. In this study, we report high-pressure Raman spectroscopy measurements on Al20
Somatic embryo maturation in maritime pine (Pinus pinaster) : contribution of a 2-DE proteomic analysis for a better understanding

Maritime pine is extensively used in south-western Europe for lignocellulose production. Increasing demand for wood from this pine species requires efficient production of improved varieties and this is currently achieved only through seed orchards management. As in most long-lived tree species, variety design and deployment would greatly beneficiate from setting up an efficient vegetative propagation system of selected seed resources. Somatic embryogenesis is a promising clonal propagation system in most conifers and significant progress has been made in recent years for maritime pine (reviewed in Klimaszewska et al. 2007). However the « true » maturity of harvested cotyledonary somatic embryos (SE) is still a debatable question. Cotyledonary somatic embryos are currently selected at the end of the maturation phase based on morphological criteria. Embryo maturation is a crucial step giving rise to the establishment of reserve compounds including specific storage proteins (Teyssier et al., 2011) that will ensure optimal germination and subsequent in situ plantlet development. A 2D-PAGE proteomic approach has been developed at INRA of Orleans to define the protein status of developing SE in reference with zygotic embryos (ZE). We aimed at contributing for a better understanding of the processes acting during the maturation phase of SE (part 1). As a first step towards this goal this work is presenting water content and percentage of dry mass in maturing SE vs. ZE (part 2) and our first results in proteomic analysis of SE development (part 3). This new knowledge is expected to ultimately results in refining our current methodology for practical application of somatic embryogenesis in maritime pine.
Probabilistic Approach in Broadcast-based Cache Invalidation of Location Dependent Data

In this paper, we propose a broadcast-based protocol for cache invalidation in location-aware system, wherein each client uses local caches of location dependent data to reduce network accesses. The proposed protocol is designed to avoid sleep fragmentation in clients and reduce waiting time for getting required invalidation information. To realize short waiting time, we use Bloom filter to express and compress invalidation information and shorten a time for accesses to geographically close invalidation information on broadcast schedule. Also we propose three broadcast scheduling methods: FASM (Fragmentation Avoidance Scheduling Method), MBSM (Metrics Balancing Scheduling Method), and MASM (Minimizing Access time Scheduling Method). The effectiveness of the proposed methods is evaluated by simulation.
Deliverable D-2 . 2 : Specifications of Architectures , Modules , Modularity , and Interfaces for the BROCRE Software Platform and Robot Control Architecture Workbench

Deliverable D2.2 provides specifications for the research and development work performed in work package WP2 of the BRICS project. The main purpose of the deliverable is to provide a document that allows experts inside and outside of the consortium to review the architectures, structures, and interfaces for the implementation work planned and ensure that constructive comments and criticism can be accounted for within the project duration. The work described here is closely interdependent with the work in work packages WP3 (Algorithms) and WP4 (Tool Chain). In order to describe these dependencies and provide an understanding of how the various pieces fit together, this document first provides a comprehensive overview and survey on BRICS RAP, a reference process model for the robot application development process proposed by us. While numerous software frameworks, sometimes associated with specific development tools, have been developed for robotics, none of them comes with its specific development process model, or at least an adaptation of a well-known general software development process model. To our knowledge, BRICS RAP is one of very few, if not the only process model that accounts for a suitable balance of hardware and software development aspects, especially in robotics. Existing process models mostly focus on either one of these two complementary aspects. We also describe a set of artefacts (mostly models of some kind) and a comprehensive tool chain; both are inferred from the process model and would jointly provide suitable support for the complete reference process. In practice, projects may need to exercise only parts of this process model, e.g. because the artefacts produced in a particular phase are already given, or because deployment and maintenance are decided to not be required for a research prototype. The reference process model is to be understood as a guideline for future research and development, as providing all the tools defined by the process is clearly out of scope of a single research project like BRICS. We also propose a generic structure for the software architecture of a robot application, independent of the actual functional architecture. The architectures, modules, and interfaces for the BROCRE software platform and the Robot Control Architecture Workbench, as far as they can already be determined, then almost follow from this context. The report finishes with a summary of what could already be specified and a list of things that remain to be done in the upcoming project phase.
Simulation and comparative study of different PV Modules technologies of silicon ( Monocrystalline , polycrystalline and Amorphous ) in Beni Mellal

This work deals with, firstly, the estimation of the optimal production photovoltaic mini plants of 2KW for each one using three types of silicon technologies that are well known: monocrystalline, poly crystalline and amorphous silicon, in the region of Beni Melall, we used for that the software PVGIS, Tecsol.fr and Solargis. Secondly, a comparative study between the estimated and experimental results is done.
Clamp-on Two Phase Measurement of Gas Condensate Wells Using Integrated Equation of State Compositional Models

Production surveillance of gas condensate wells plays an important role in many production optimization and yield enhancement strategies. Unfortunately, production surveillance of gas condensate wells using conventional well testing methods is normally associated with high capital and operational costs. This paper describes an approach which provides costeffective and convenient production surveillance of gas condensate wells using multiphasetolerant, clamp-on sonar flow meters, integrated with an Equation of State (EoS) model for the Pressure, Temperature and Volumetric (PVT) properties of the produced fluids.
Moisture Sorption Isotherms and Isosteric Heats of Sorption of Tomato Slices

The adsorption and desorption isotherms of tomato were determined by static gravimetric method at different temperatures, in the range from 30°C to 60°C and relative humidities of 5%–85%. The curves obtained can be considered as type II according to the Brunauer–Emmett–Teller classification. Equilibrium moisture content data were correlated by different mathematical models usually applied to foodstuffs (GAB, Peleg, Smith, Caurie, Oswin.). A non-linear least square regression analysis was used to evaluate the models constants. The best fit of the experimental data was obtained with GAB and Peleg models. The Chung-Pfost model was the least adequate. Hysteresis was also observed at all temperatures investigated. The isosteric heat of sorption was determined using the Claussius–Clapeyron equation, and it decreases with increasing moisture content at the average temperatures investigated.