Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCURATE RECOGNITION OF PACKET DROPPING THROUGH CONCEALMENT CONSERVING IN WIRELESS ADHOC NETWORKS

: Delay Tolerant Network (DTN) have some kind of system attributes because of which discovering a pernicious and narrow minded conduct in the system is incredible test in DTN. So framework with iTrust, a probabilistic mischief identification plan for secure DTN steering towards proficient trust foundation is proposed here. The essential sign of iTrust is introducing an intermittently existing Trusted Authority (TA) to judge the hubs to conduct in light of the gathered directing confirmations and probabilistic assessment. It additionally gives verification in secure way to all the clients in correspondence system. Proposed framework will distinguish every one of the sorts of assault happened in the system and recognize the malevolent client in system. Trouble making of hub speaks to a genuine danger against directing in deferral tolerant system. In this paper primarily center to enhance the bundle misfortune amid the transmission of parcel one hub to another, furthermore it manages childish and pernicious hub. This paper presents an intermittently accessible trusted power. TA judges any hub in the system by gathering the history proof from upstream and downstream hub. TA could rebuff and remunerate the hub in light of its practices. Every hub must pay the store before it joins into the systems, and the store will be paid after, then the hub leave if there is no mischievous activities of hub. This paper additionally concentrates on security between the hubs in DTN. We presented a mystery key which is created and utilized to share the information. The mystery key is consequently changed when the hub joins a system and leaves a system in light of quick randomized calculation. So we can expand the level of security in postponed tolerant system.
MONOGRAFIA DE FINAL DE CURSO AN OVERVIEW OF RISK AND CONSUMPTION SMOOTHING MECHANISMS IN RURAL MOZAMBIQUE

This paper examines households’ exposure to risk in rural Mozambique and its effect on their social indicators such as the possession of consumer goods (bicycles, motorcycles, cellphones), hygiene habits, health conditions (anemia and malaria), child mortality, household head literacy and storage capacity. The usage of consumption smoothing mechanisms is analyzed in regards to its effect on both the variability of income and food security and more lasting social outcomes that were present in the original data set (consumer good possession, hygiene conditions, storage capacity and the head’s literacy). I find that farmers in Mozambique are extremely vulnerable to risk but the time-span of these fluctuations is not the same throughout the whole country. Higher monthly income risk is found to be linked with overall worse social indicators. Furthermore, the usage of Risk Management mechanisms, including crop diversification, irrigation, and occupation diversification from both the head and other household members, is shown to be associated with lower variations of income and food security. Risk Coping is also assessed by using Townsend’s (1995) full risk-sharing model, which indicates risk pooling among individuals in the same geographical area is quite high. Both Risk Management and Risk Coping mechanisms are found to attenuate risk’s effect on health, educational and economic status indicators.
COMBINATION OF PLC AND VFD BASED AUTOMATIC DETECTION AND RECTIFICATION OF UNDER VOLTAGE PROBLEM IN 3 PHASE INDUCTION MOTOR

Protective functions of an induction motor are mainly intended to prevent overheating of its windings. Owing mainly to overloads or unbalanced voltages, there is increase in consequent overheating of the windings. The PLC operates and switches on the variable frequency drive, which in turn drives the motor with required speed by varying the frequency. The detection of the under voltage fault and disconnection of a faulty section or apparatus can be achieved by using over load relay in conjunction with circuit breakers. It performs both detection and interruption functions automatically but its use is limited for the isolation of motor from supply during high negative sequence current when under voltage will occur. A combination of PLC and VFD method is proposed in this paper. The combination of PLC and VFD is an efficient approach used for getting continuous running of the motor even under conditions of under voltage with Reduced Space, Energy saving, Modular Replacement, Easy trouble shooting, Error diagnostics programmer, Economical, Greater life and reliability. The simulation result shows that the proposed methods outperforms than the other existing
Premature Rupture Of Membranes And Associated Factors Among Pregnant Women Admitted In Maternity Ward, Amhara Regional State Referral Hospitals, North-West Ethiopia

Copyright: © 2021 Aynalem GL, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. underlying pathologic processes, most likely due to inflammation and/or infection of the membranes. Clinical factors associated with preterm PROM include low body mass index, tobacco use and urinary tract infection [3]. Patients at higher risk include those who have lower socioeconomic status, are smokers, have a history of Sexually Transmitted Infections (STI), have had a previous preterm delivery, have vaginal bleeding, or have uterine distension (examplepolyhydramnios, multiple gestations). Procedures that may result in preterm PROM include cerclage and amniocentesis [4].
RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM : AN OVERVIEW

Project scheduling with limited resources is a challenging management problem in operational research that is of immense importance to both practitioners and researchers.Thus, the successful implementation of project scheduling is a key factor to projects’ success. Due to its complexity and challenging nature, scheduling has become one of the most famous research topics. Therefore, the project scheduling issue has been significantly evaluated over time and has been developed from various aspects.In this paper we focus the topics related to ResourceConstrained Project Scheduling Problem (RCPSP) are reviewed. This paper reviews different optimization algorithms techniques that are used for RCPS to achieves the minimum project duration problem such as Genetic Algorithm (GA), Particle Swarm optimization (PSO), Tabu Search (TS), Simulated annealing.
Time delay-based mitigation design and nonlinear resonance of large amplitude vibration of the cable-stayed beam

Abstract. This paper studies the nonlinear primary resonance in the vibration control of cable-stayed beam with time delay feedback. Considering the continuity conditions, the in-plane nonlinear motion equations of the cable stayed beam are obtained via the Hamilton principle. Then, utilizing the method of multiple scales, the modulation equations that govern the nonlinear dynamics of the cable-stayed beam are derived. Depending on the excitation amplitude and the commensurability of the delayed-response frequency to the excitation frequency, it can be demonstrated that appropriate choice for the feedback gain can greatly reduce the response amplitude of the primary resonance. Moreover, the mode energy and component energy are defined, and they are applied to investigate the energy transfer and distribution in the vibration controlled cable-stayed beam. And the energy transfer mechanism is discussed.
Reducing work-related physical fatigue with a collaborative robot: A decision-making approach

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Reducing work-related physical fatigue with a collaborative robot: A decision-making approach Anuyan Ithayakumar, Aurélien Osswald, Vincent Thomas, Pauline Maurice
Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR

: The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest (RF) method was the most effective in predicting ground-level PM2.5 concentrations. Compared with BP neural network, support vector machine (SVM), and various linear fitting methods, the accuracy of the RF method was superior by 10%. The method can describe the spatial and temporal variation in PM2.5 concentrations under different meteorological conditions, with low root mean square error (RMSE) and mean square deviation (MD), and the consistency index (IA) reached 99.69%. Under different weather conditions, the hourly variation in PM2.5 concentrations has a good descriptive ability. In this paper, we analyzed the weights of input variables in the RF method, constructed a pollution case to correspond to the relationship between input variables and PM2.5, and analyzed the sources of pollutants via HYSPLIT backward trajectory. This method can study the interaction between PM2.5 and air pollution variables, and provide new ideas for preventing and forecasting air pollution
RapidStream: Parallel Physical Implementation of FPGA HLS Designs

FPGAs require a much longer compilation cycle than conventional computing platforms like CPUs. In this paper, we shorten the overall compilation time by co-optimizing the HLS compilation (C-to-RTL) and the back-end physical implementation (RTL-to-bitstream). We propose a split compilation approach based on the pipelining flexibility at the HLS level, which allows us to partition designs for parallel placement and routing then stitch the separate partitions together. We outline a number of technical challenges and address them by breaking the conventional boundaries between different stages of the traditional FPGA tool flow and reorganizing them to achieve a fast end-to-end compilation. Our research produces RapidStream, a parallelized and physical-integrated compilation framework that takes in an HLS dataflow program in C/C++ and generates a fully placed and routed implementation. When tested on the Xilinx U250 FPGA with a set of realistic HLS designs, RapidStream achieves a 5-7X reduction in compile time and up to 1.3X increase in frequency when compared to a commercial-off-the-shelf toolchain. In addition, we provide preliminary results using a customized open-source router to reduce the compile time up to an order of magnitude in the cases with lower performance requirements. The tool is open-sourced at github.com/Licheng-Guo/RapidStream.
Experimental Analysis & Refinement of a Guided Exploit Generation Technique for Language Virtual Machines

Background: We discussed GuidExp, a semi-automatic exploit generation tool, in our paper at ACSAC 2020. GuidExp generates an exploit script for a given ActionScript vulnerability. Unlike the other exploit generators, GuidExp does not use fuzzing or a symbolic execution; rather, it relies on human expertise to guide it in successfully discovering vulnerable execution paths. This paper augments our ACSAC paper and provides more details on the experiments we conducted. Aim: We sought to show that GuidExp can generate working exploit scripts for real-world vulnerabilities in open- and closed-source ActionScript Virtual Machine (AVM) implementations. Data: We used community artifacts as GuidExp inputs: a ROP gadget sequence, used to generate a GuidExp sub-goal; a proof-of-concept (PoC) exploit script for CVE-2015-5119; and vulnerable AVM implementations. Method: We conducted a series of experiments, where the results of each informed the development of the next. First, we tested GuidExp on an open-source AVM using a single ActionScript vulnerability (CVE-2015-5119). We measured the number of candidate slices generated by GuidExp, the number of candidate slices executed successfully, and the time required to achieve each exploit subgoal. We then implemented GuidExp optimization techniques based on what we learned and repeated the same experiment using the optimizations. Next, we ran the experiment using eleven different vulnerabilities in a closed-source AVM. Finally, we ran the original experiment using a larger search space to understand how less accurate human guidance might impact GuidExp’s performance. Results: Using an optimal search space (expert human guidance), GuidExp generated a successful exploit script for CVE-2015-5119 in an open-sourced AVM in just over 14 minutes. When the search space was increased to by a factor of 2, the time increased to just over 59 hours. GuidExp generated successful exploit scripts for 11 vulnerabilities in closed-source Flash Player v11.2. 202.262, with the longest completion time being just under 14 hours when using an optimal search space. Conclusions: GuidExp needs to be human-guided to generate an exploit script. Its performance is greatly affected by the accuracy of the provided exploit subgoals. Redundant instructions for an exploit subgoal significantly increases the search space and subsequently, the time that GuidExp needs to generate an exploit script.
Better Language — Faster Helper: The Relation Between Spontaneous Instrumental Helping Action and Language Ability in Family-Reared and Institutionalized Toddlers

Background Prosocial behavior is the key component of social and interpersonal relations. One of the elements of prosociality is helping behavior, which emerges already in early childhood. Researchers have identified several domains of helping behavior: instrumental helping, comforting another person, and sharing resources with others. The development of helping behavior can depend on a number of factors: children’s age, the social situation of development, communication skills, and the ability to understand the feelings and needs of another person. Objective In Study 1, the main goal was to determine the effects of age and cognitive, language, and motor development on instrumental helping skills in early childhood. The goal of Study 2 was to estimate the effects of rearing in an adverse social environment by comparing the capacity for instrumental helping in family-raised and institutionalized children. Design The authors examined toddlers’ (N = 198) ability to initiate spontaneous helping and the factors that may influence it. Cognitive, language, and fine motor skills were measured by the Bayley Scales of Infant and Child Development, 3rd edition. Children’s instrumental helping behavior was assessed according to the procedure presented by Warneken and Tomasello, with a few modifications. Results Study 1 demonstrated that children’s ability to initiate helping was dependent on their age: the non-helpers were significantly younger than the helpers. Children’s language skills also played a significant role in their helping behavior. The children with higher language skills helped the adult more often and more quickly. Study 2 demonstrated that institutional placement per se was not related to toddlers’ ability to initiate helping. Language ability was associated with helping behavior both in institution- and family-reared toddlers. Conclusion Instrumental helping in early childhood is related to children’s age, language skills, and rearing conditions.
VIBRATION ANALYSISON THE PRODUCTION LINE THROUGH MATLAB: A REVIEW

In a machining operation, vibration is frequent problem, which affects the machining performance and in particular, the surface finish and tool life. Severe vibration occurs in the machining environment due to a dynamic motion between the production line and the work piece. In all the running operations like turning, boring and milling, vibrations are induced due to the deformation of the work piece, machine structure and running tool. In a machining operation, forced vibration and self-excited vibration are identified as machining vibrations. Main objective of the research work is to monitor the vibration level of running tool. So it is assumed that the condition of the machine and its components is good in all other aspects such as foundation of the machine, rigidity of the machine components (such as bed, spindle, tail stock etc.) and so on. The simplest vibration analysis is conducted through collecting the “overall” vibration amplitude Root Mean Square (RMS) value and plotting the vibration data in time domain and frequency domain. The vibration phenomenon for various running conditions has been analyzed using MATLAB software. The plan of the experiment was developed to assess the effect of running speed, feed rate and depth of the vibration on the Production Line vibration. Research Area: vibration analysis, RMS Value of vibration, Production line, MATLAB Objective: Thesis objective of the research work is to monitor the vibration level of running tool. It has graphical analysis over the MATLAB.So simulating the whole production line in MATLAB as real work.
NOVEL 4 CHECKPOINT ANALYSIS ALGORITHM FOR ANALYSIS FACTORS AFFECTING AGRICULTURE PRODUCTION

Agriculture is the foundation of the Indian country. Despite the way that huge regions in India have been brought under water system, just a single third of the edited part is flooded. The efficiency of agriculture is low. So as the request of sustenance is expanding, the specialists, ranchers, agricultural researchers and government are endeavoring to put additional exertion and systems for more generation. Furthermore, subsequently, the agricultural data builds step by step. As the volume of data builds, it requires automatic route for these data to be extricated when required. Still today, a not very many agriculturists are really utilizing the new strategies, instruments and system of cultivating for better creation. Data mining can be utilized for anticipating the future patterns of agricultural procedures. In our proposed work, we have devised an algorithm using the checkpoints to find out the combinations which are hampering the production in this way rather than working on the all possible factors , working on the specific factors will help us to maintain the stabilize and better agricultural production.
Developing a physical colour input device for studying digital sketching in design

This paper presents a development process of a sketching system prototype, with a primary focus on a component that allows the user to input colour values directly from the environment. The device can be either held in hand, or the colour materials can be fed to it. The practical aim of the research is enabling a richer variety of interaction of colour in sketching type activity, and to provide insight into the design tools developed from a design perspective. The paper describes the design of the system and the user tests, conducted with four designers, who tested different approaches towards the prototype.
Theory of charge and spin pumping in atomic-scale spiral magnets

An Archimedean screw is a classical pump that exploits the equivalence of rotation and translation in helices. Similarly, a spin spiral texture can pump charge and spin by rotating at a frequency $\omega$. In the present paper, we study these pumping phenomena within a microscopic quantum model by both perturbation theory and numerical simulations. Inside the spiral region, the spin polarization and charge current are linear in $\omega$ whereas the spin current is $\omega^2$ for small $\omega$. We find that the charge current is related to the mixed momentum-phason Berry phase, which can be viewed as a novel approximate realization of a Thouless pump. It is nearly quantized in spirals with short pitch $\lambda$ but decays with $\lambda^{-1}$ for longer pitches, unlike true Thouless pumps or Archimedian screws. Moreover, we study the onset of non-adiabaticity (large $\omega$), the impact of attached non-magnetic or magnetic contacts, and the real-time evolution of the transport observables. Finally, we analyze the effects of disorders which, surprisingly, might enhance the spin current but suppress the charge current.
Performance Guaranteed Evolutionary Algorithm for Minimum Connected Dominating Set

A connected dominating set is a widely adopted model for the virtual backbone of a wireless sensor network. In this paper, we design an evolutionary algorithm for the minimum connected dominating set problem (MinCDS), whose performance is theoretically guaranteed in terms of both computation time and approximation ratio. Given a connected graph $G=(V,E)$, a connected dominating set (CDS) is a subset $C\subseteq V$ such that every vertex in $V\setminus C$ has a neighbor in $C$, and the subgraph of $G$ induced by $C$ is connected. The goal of MinCDS is to find a CDS of $G$ with the minimum cardinality. We show that our evolutionary algorithm can find a CDS in expected $O(n^3)$ time which approximates the optimal value within factor $(2+\ln\Delta)$, where $n$ and $\Delta$ are the number of vertices and the maximum degree of graph $G$, respectively.
Czech Grammar Error Correction with a Large and Diverse Corpus

We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English. The Grammar Error Correction Corpus for Czech (GECCC) offers a variety of four domains, covering error distributions ranging from high error density essays written by non-native speakers, to website texts, where errors are expected to be much less common. We compare several Czech GEC systems, including several Transformer-based ones, setting a strong baseline to future research. Finally, we meta-evaluate common GEC metrics against human judgments on our data. We make the new Czech GEC corpus publicly available under the CC BY-SA 4.0 license at http://hdl.handle. net/11234/1-4639.
Training Free Graph Neural Networks for Graph Matching

We present a framework of Training Free Graph Matching (TFGM) to boost the performance of Graph Neural Networks (GNNs) based graph matching, providing a fast promising solution without training (training-free). TFGM provides four widely applicable principles for designing training-free GNNs and is generalizable to supervised, semi-supervised, and unsupervised graph matching. The keys are to handcraft the matching priors, which used to be learned by training, into GNN's architecture and discard the components inessential under the training-free setting. Further analysis shows that TFGM is a linear relaxation to the quadratic assignment formulation of graph matching and generalizes TFGM to a broad set of GNNs. Extensive experiments show that GNNs with TFGM achieve comparable (if not better) performances to their fully trained counterparts, and demonstrate TFGM's superiority in the unsupervised setting. Our code is available at https://github.com/acharkq/Training-Free-Graph-Matching.