Miracle-dz/UniFAR-FTUs huggingface dataset:
Fonctionnement biogéochimique du lac Masoko (Tanzanie), approche par les biomarqueurs lipidiques sédimentaires

Les sediments du lac Masoko (region du Rungwe, Tanzanie) fournissent un enregistrement continu des changements environnementaux depuis 45 000 ans. L’analyse des biomarqueurs lipidiques de 10 horizons sedimentaires selectionnes ainsi que de leur signature isotopique en 13C a permis une etude des variations environnementales depuis la fin de la derniere periode glaciaire. Les biomarqueurs phytoplanctoniques et bacteriens montrent une tres grande variabilite de l’ecosysteme lacustre. Dix nouvelles structures de botryocococcenes et d’homologues partiellement reduits mono- et di-cycliques ont ete caracterisees pour la premiere fois dans un echantillon datant de 32 000 ans. Ces molecules sont des triterpenoides specifiquement produits par les algues botryococcus braunii de la race B. Leur signature isotopique est extremement enrichie en 13C, sans doute a cause de l’utilisation des ions hydrogenocarbonates comme source de carbone. La signature isotopique des n-alcanes montre que les abords du lac Masoko sont domines par des vegetaux de type C3 tout au long de l’enregistrement sedimentaire. Cette situation est singuliere, en comparaison avec les autres enregistrements sedimentaires d’Afrique tropicale. Le lac Masoko pourrait ainsi avoir servi de refuge de biodiversite durant la periode glaciaire. L’analyse moleculaire et isotopique de 18 horizons deposes au cours des 500 dernieres annees a par ailleurs permis une etude a plus haute resolution des variations environnementales ainsi que le suivi des modifications liees aux activites anthropiques durant le dernier siecle. Une nouvelle classe d’alcenes lineaires longs (C37-C43) a ete decouverte dans ces sediments. Differentes origines possibles ont ete proposees, notamment les insectes. L’evolution qualitative et quantitative des marqueurs phytoplanctoniques et bacteriens montre des changements rapides du fonctionnement biogeochimique du lac a l’echelle decennale. La productivite lacustre augmente depuis 500 ans et le phenomene s’est amplifie avec la pression anthropique depuis 1940.
Investigation and Analyses of Data Processing Through Sports Using Scripting Language: A Novel Paradigm

Every business firm is implementing the newest technology to expand their businesses as a result of the expansion in the field of Data science. In the market, there is competition for better management, higher evaluation quality, and improved facilities. The sole means of accomplish all of these traits is to carry out data examination with greater accuracy and purity. With the use of existing data, machine learning helps to predict future outcomes so that decisions can be improved. Cricket is a popular sport that is played and viewed throughout worldwide. Many of these cricket supporters hope that their team will perform well and get the victory. Teams should improve their individual and team performances if they want to win. The ability to envisage the winner of a test match is affected by a variety of variables, including team strengths, ground and weather. A detailed investigation has been used to anticipate the game’s match winner through several criteria that have been examined in this paper. This paper discusses guessing the champion of a cricket competition before it began. Different machine learning methods, including Random Forest, SVM, and Decision Tree, have been applied to test and learning information set of various size for this model-building purpose. The predictive algorithm will be useful for the International Cricket Council in terms of cricket analysis and team strength evaluation. This model will help the implementations for betting and tournament media.
Inverter Model Optimization in Simulink Software Environment

A model of an inverter with phase control was synthesized in the Matlab/Simulink programming environment. A comparative analysis was made between the operation of the inverter with a phase - controlled algorithm, with an input voltage duty factor of 50% / 50% and 35% / 50%. The active power losses, the total harmonic distortion and harmonic composition of the output voltage and current were determined in the system for two operating modes of the inverter.
A Minimal Idleness Algorithm for Spectrum Assignment on a Single Elastic Link under Dynamic Traffic

This paper presents an analytical derivation of an optimal spectrum assignment algorithm that minimizes spectral resource idleness in a single elastic link. The algorithm is aware of the requestable connection sizes and rates thereof. This awareness enables the calculation, for each possible void size and assignment policy, of the expected idle slot-time integral until the void is either fully occupied or coalesced into a new void by the termination of a neighboring connection. Idleness minimization may then be obtained by comparison among all possible on-arrival assignment policies when starting at each possible void size and choosing among all available voids the one that yields maximal reward in terms of reduction of the expected idleness, assuming the new connection is placed next to one of its edges. Since the number of policies grows exponentially with the number of requestable connection sizes, a scalability issue is identified.
Determination of LED Lamp Model Parameters by Using Analytical – Optimization Approach

Light-emitting diode (LED) lamps are widely used for electric lighting due to their low energy consumption, high luminous efficiency and long lifetime. There are, however, several important drawbacks of LED lighting technology such as their single-phase character and non-linear voltage-current characteristic resulting in a distorted electric current. To predict the harmonic current injection from LED lamps into the grids, this paper investigates suitable models that can accurately predict these injection. Since the structure of the typical LED lamp models is known, the parameters of these models need to be determined. This paper presents a method for estimating the unknown parameters of typical, widely used LED lamp models. The proposed method is based on: (a) a general approach to analytically determine the waveform of the input LED lamp current and (b) the definition of the objective function for minimizing the deviations between the calculated and the measured LED lamp input current. The Nelder-Mead search optimization method was used to determine the optimum of the objective function. The described LED lamp modes and the parameters determined with the proposed estimation method were verified on the example of two different, widely used LED lamps. Excellent agreement was found between the estimated and measured LED lamp model parameters, as well as between the measured and simulated input LED lamp current waveforms. Furthermore, the influence of the defined initial vectors of the optimization method and the influence of the harmonic order of the source voltage on the results of the parameter estimation of the analyzed LED lamp models was investigated.
Reduced Switch Components Multilevel Inverter

The multilevel inverter is proposed with reduced switches count. The basic topology require ten switches to generate five level in output voltage as levels increases number of switches decreases compared to cascaded H-bridge structure. Proposed topology can be operated in symmetrical and asymmetrical configurations. Additive operation of DC sources generates output in the symmetrical configuration, additive and subtractive operation of DC sources generate output in asymmetrical configuration of proposed topology. Sinusoidal Pulse Width Modulation(SPWM) techniques is used to generate switching signals to inverter. Effectiveness of proposed topology is verified by MATLAB/SIMULINK software.
Design Analysis of a Cable-Driven Parallel Robot with Parallel Cables for Ship Side Painting

In order to satisfy the demand for large planar workspace and lightweight in ship side painting, we designed a cable-driven parallel robot (CDPR) with parallel cables powered by a common drive unit considering easy deployment and structural simplicity. Different parallel cables and the effects of cable numbers are discussed. Based on the analysis, typical configurations of parallel cables are proposed, and the configuration of the CDPR for ship side painting is deduced, which has two translational degrees of freedom (DOF), and all three rotational DOFs are constrained. Kinematic and static modeling are executed, and dimensional optimization is carried out with the goal of maximizing the workspace. Workspace coverage rate of 88% is achieved with a 30m×20m vertical area.
Robust Execution of Assembly Policies Using a Pose Invariant Task Representation

This paper discusses the robustness of executing robot tasks in contact with the environment. For example, in assembly, even the slightest error in the initial pose of the assembled object or grasp uncertainties can lead to large contact forces and, consequently, failure of the assembly operation. Force control can help to improve the robustness only to a certain extent. In this work, we propose using the position and orientation invariant task representation to increase the robustness of assembly and other tasks in continuous contact with the environment. We developed a variable compliance controller which constantly adapts the policy to environmental changes, such as positional and rotational displacements and deviations in the geometry of the assembled part. In addition, we combined ergodic control and vision processing to improve the detection of the assembled object's initial pose. The proposed framework has been experimentally validated in two challenging tasks; The first example is a mock-up of an assembly operation, where the object moves along a rigid wire, and the second is the insertion of a car light bayonet bulb into the housing.
Estimation of Harmonics in Sparsely Monitored Distribution Networks

Accurate estimation of harmonics in partially monitored power networks with uncertain, power electronics interfaced low carbon technologies can facilitate efficient planning and operation of future net-zero distribution networks. A recent study demonstrated a methodology for estimating harmonic distortions in partially monitored, typically radial, residential distribution networks. This study extends the general applicability of the harmonic estimation method to higher voltage meshed networks. The Morris screening method based harmonic variation sensitivity analysis, and the sensitivity method based on electrical distance were proposed in this study and were combined together to determine the optimal/minimum number and location of PQ monitors. Appropriate scaling factors were recommended as well. This solves the problem of sub-optimal selection of monitoring locations when harmonic distortion is not highly correlated with the voltage drop at buses in the meshed network. Different types of harmonic injections from nonlinear loads are fitted using Kernel non-parametric distribution and are estimated separately according to different load types. The approach is validated, and its accuracy and reliability were demonstrated on a highly interconnected (meshed) section of the power system.
Statistical Assessment of the First-Swing Transient Stability of a Single Machine Infinite Bus Network with Renewable Energy Sources Generation

This paper aims to contribute to a definitive understanding of how the increasing penetration of Converter Interfaced Generation (CIG) Renewable Energy Sources (RES) actually affects the first-swing transient stability of the power systems. A Monte Carlo (MC) probabilistic assessment and statistical analysis are performed on a simple Single Machine Infinite Bus (SMIB) system with RES-CIG. Such approach allows to see how relevant network parameters affecting the stability behave, statistically, for a wide range of penetration levels. In this way, not only the overall change of the stability and relevant system parameters can be explicitly seen, but also their dispersion and outlier behaviour, further helping to explain how the uncertainty of RES actually affects the system dynamic behaviour. The obtained conclusions could be used to analyse more complex real uncertain networks with RES.
Drought and heat tolerance in chickpea

Chickpea is largely grown rainfed on residual soil moisture after the rainy season. Terminal drought is a major constraint to chickpea production, particularly in the semi-arid tropics. Similarly, exposure of chickpea to heat stress (≥ 35 C) at flowering and podding is known to result in drastic reductions in seed yields. Efforts have been made to develop cultivars that can escape (early maturity) or avoid/tolerate (greater extraction of water from the soil, enhanced water use efficiency) terminal drought. Large genetic variations exist for reproductive stage heat tolerance in chickpea. Many heat tolerant genotypes have been identified through screening of germplasm/breeding lines under heat stress conditions in the field. A heat tolerant breeding line ICCV 92944 has been released for cultivation in Myanmar (as Yezin 6) and India (as JG 14).
Covert Optical Communication over Turbulent Terrestrial Free-Space Optical Link

Unlike traditional secure communication methods, denying unauthorized access to the content of the transmitted message, the covert communication prevents detection of the transmission attempt in the first place. In this invited paper, we review our recent activities on covert free-space optical (FSO) communication activities at the University of Arizona (UA). At UA we have established a 1.5 km long FSO communication link between Optical Sciences Meinel and ECE Department buildings. We use an EDFA as an ASE noise source for covert communication and perform the BPSK signalling over the FSO link at 10 Gb/s data rates. To deal with the atmospheric turbulence effects we use the adaptive optics. We have demonstrated successful covert operation in the strong turbulence regime.
An Analysis of IEC 62351 Implementations for Securing IEC 60870-5-104 Communication

With the growing digitalisation and uptake of renewable energy sources, the power system has become increasingly vulnerable to cyber attacks. One of the mechanisms, used to prevent cyber attacks, is securing communication protocols used for monitoring and control of the digitalised power system assets. This paper presents the analysis of the implementation of IEC 62351 standard for securing IEC 60870-5-104 protocol which is widely used for remote control in power systems.
Offensive Hinglish Text Classification Using Longformer, Bigbird & HingMBert

With a sharp rise in the number of users and skilled fluency in the use of “Hinglish”, a cross-lingual text of Hindi and English, in a linguistically diverse country, India, it has increasingly become important to analyze social content written in the aforementioned language over platforms such as Twitter, Reddit, Facebook. This project focuses on the classification of Hinglish text into offensive and non-offensive categories. We present a state-of-the-art novel use of “Longformer” and “Bigbird” transformer-based language modeling models on Hinglish texts for natural language processing (NLP) sentiment classification task, alongside mBERT, pre-trained for Hinglish, hence “HingMBert” model. Our dataset is a combination of pre-existing datasets and further addition of approximately 8,200 records, a total of 24,660 records. The tweepy library has been used to scrape novel tweets. Experimental results for Longformer, Bigbird, and HingMBert have achieved F1 scores of 0.76, 0.77, and 0.79, and accuracy of 76%, 77%, and 80% respectively. F1 score of 0.78 and an accuracy of 78% was achieved using the majority voting ensemble technique.
The Successful Key Division Using Chord, Pastry, and Kadmelia

In general, key distribution is the process of giving out the public key to the members present in the network. However, the distribution of secret key still remains a problem in most of the network. With the view of proposing an efficient key distribution algorithm, in this project we have demonstrated the key distribution under three different network scenarios as (i) Chord (ii) Pastry and (iii) Kadmelia. In this project, we have considered the peer-to-peer (P2P) network for implementation. Also, the chord and pastry are the overlay and routing network types that are used for the implementation of distributed hash table. Meanwhile, Kadmelia also supports distributed hash table routing but constructs the virtual overlay network. In order to generate the hash value, we used the SHA-I (Secured Hash Algorithm). For each scenario, we implement three algorithms such as (i) Present Encryption, (ii) Routing Information Protocol (RIP) and (iii) Emperor Penguin optimization (EPO). The present encryption is used for data encryption during the transmission and the RIP ensures that is no packet drop. Moreover, the EPO algorithm is used for selecting the next forwarder during query passing in the P2P network. The experiment was performed in the simulation environment of NS 3.26 and the results are presented. The entire scenarios are evaluated under the performance metrics such as packet delivery ratio, throughput, overhead and end-to-end delay. The experimental results proved that the key distribution is better in the scenario of pastry network. This is because of the efficiency in the network topology as well as the deployed algorithm.
Design and Analysis of 5G Antenna with Defective Ground Structure

Person’s life becomes live because of the communication between them, even they are close to each other or separated apart. With the development in the technology for devising the communication equipment’s, the communication has become fast and simplest. Antenna is one of the most important electronic elements used to make the communication alive. The antenna is essential in allowing people to communicate with one another. Among the various types of antenna present, based on the simple design, low cost, small size and reliability, micro strip patch antennas have attracted the designers much. The goal of this research is to create a miniature antenna for future mobile and wireless communication standards such as 5G. A new type of DGS antenna for future mobile is designed in this paper. Initially, in this research, the design and the fabrication of the patch antenna to resonate at 4 GHz with Defected Ground Structures (DGS) have been performed using a single substrate layer and the results were obtained.
Research on Edge Computing-oriented Resource-aware Access and Intelligent Gateway Technology for Power Transmission, Transformation and Distribution

This paper studies the application of edge computing and cloud-edge collaboration technology in power scenarios. Based on the existing resource-aware access technology, the technology and application research are carried out from the application architecture, access model, edge computing carrier, cloud-edge collaboration implementation, etc. This paper discusses in detail the technology of power resource-aware access and intelligent gateway for edge computing from three aspects: edge computing-oriented power resource-aware access, edge intelligent gateway design and cloud-side collaborative service. This study proposes a new cloud power resource aware access service system composed of industrial field layer, edge node layer and cloud platform layer, designs the access model of power resources for edge computing, designs an intelligent gateway with edge computing capability, and analyzes the important role and advantages of edge computing-oriented power resource aware access.
Generation of NDVI Time Series using a Hybrid Regression Kalman Filter based Approach

The synthetic satellite images can be generated by various methodologies using available Landsat images and the MODIS composite. This paper uses a hybrid methodology combining regression analysis, Kalman filtering, and smoothing. It combines the forward recursion Kalman filter with the backward recursion Kalman filter, which is named a combined mode Kalman filter. This improved hybrid technique provides more accurate synthetic satellite images than those provided by the other blending algorithms like STARFM, ESTARFM, SPSTFM, and KFRFM. Residuals are lower for the combined recursion for the generated synthetic NDVI image generated by the forward or backward recursion filter.
P ARIS -J OURDAN S CIENCES E CONOMIQUES

This article studies a new class of models which synthesize the two traditions of general equilibrium with nonclearing markets and imperfect competition on the one hand, and dynamic stochastic general equilibrium (DSGE) models on the other hand. This line of models has become a central paradigm of modern macroeconomics for at least three reasons: (a) it displays solid microeconomic foundations, (b) it is a highly synthetic theory, which combines in a uni ﬁ ed framework general equilibrium, nonclearing markets, imperfect competition, growth theory and rational expectations, (c) it is also an empirical success, leading to substantial progess towards matching real world statistics.
Kupe's Journey: Building a Low-cost, Screen-free Robotic Programming Environment for Children

Tangible-based programming environments for children are becoming more common, and purchasing various commercial systems is now possible. However, most of these environments are locked down and use pre-existing components. While these systems are typically designed for ease of use, it is hard to customise them for specific locations and needs. This paper explains our prototype of a low-cost programming environment that uses robots to navigate a map. Educators and other users can produce new components using paper and integrate them with the robot. We evaluated the usability of the system with a small group of children. The children could easily use the robots to navigate all locations on the map. In addition, we could quickly generate new maps and commands and integrate them with minimal work. This project allows for future work developing low-cost materials on top of the existing platform.
Strategic issues management : a comprehensive guide to environmental scanning

Part 1 Environmental scanning - an overview: what is environmental scanning? environmental scanning and business strategy purpose of environmental scanning how does environmental scanning fit into the organization? why is environmental scanning more necessary today? Part 2 Why scan the environment? : environmental impact case examples - general motors, the textile industry, Dupont and Corfam, life insurance industry four reasons for scanning - industrial evolution, speed of change and increasing complexity, evolution in planning methodology, assymetry of environmental impacts survey evidence - benefits of scanning, criticisms of scanning synthesis of the evidence - standards for environmental scanning. Part 3 The organization and its environment - the issue is uncertainty: models of the environment uncertainty of the environment - turbulence, strength of signal impacts of environmental uncertainty on the organization - uncertainty and organization attributes uncertainty and information systems uncertainty and organization structure uncertainty and strategy. Part 4 The dimensions of the environment: the operational dimension the financial dimension the technological dimension the competitive dimension the stakeholder dimension the omnipresence of government and economics dimensions, not blinders. Part 5 Guidelines for a scanning strategy: setting the environmental focal zone - governments economies and environmental focal zone critical success factors and environmental focal zone market strategy and environmental focal zone market dominance and environmental focal zone innovators and environmental focal zone turbulence and environmental focal zone stakeholder interdependence and environmental focal zone dimensional focus and balance - a summary range settings of scanning - plausibility time geographic format of collection of environmental information - continuity of scanning. Information sources for environmental scanning.