Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks

Over the past two decades, safety and reliability of lithium-ion (Li-ion) rechargeable batteries have been receiving a considerable amount of attention from both industry and academia. To guarantee safe and reliable operation of a Li-ion battery pack and build failure resilience in the pack, battery management systems (BMSs) should possess the capability to monitor, in real time, the state of health (SOH) of the individual cells in the pack. This paper presents a deep learning method, named deep convolutional neural networks, for cell-level SOH assessment based on the capacity, voltage, and current measurements during a charge cycle. The unique features of deep convolutional neural networks include the local connectivity and shared weights, which enable the model to estimate battery capacity accurately using the measurements during charge. To our knowledge, this is the first attempt to apply deep learning to online SOH assessment of Li-ion battery. 10-year daily cycling data from implantable Li-ion cells are used to verify the performance of the proposed method. Compared with traditional machine learning methods such as relevance vector machine and shallow neural networks, the proposed method is demonstrated to produce higher accuracy and robustness in capacity estimation.
Design of low- area, power fault tolerant parallel FFTs using trellis codes

Present day electronic circuits are generally affected by the delicate mistakes. To maintain the reliability of the complex systems few techniques have been proposed. For few applications, an algorithmic - based fault tolerance (ABFT) system has attempt to abuse the algorithmic properties to identify and adjust mistakes. One example FFT used. There are various protection schemes to identify and adjust errors in FFTs. It is normal to discover various blocks are working in parallel. Recently; a new method is exploiting to implement a blame tolerance in parallel. In this work, same method is first applicable to parallel FFT and then secured methods are merged that the use of error correction codes (ECCs) and parseval checks are used to detect and correct a single bit fault. Trellis code is applied to parallel FFTs to protect the errors which are used to detect and correct a multibit faults are proposed and evaluated. The 4-point FFT is protected with the input32-bit length . Simulation and Synthesis report for FFT using ECC,SOS,ECC-SOS,Trellis codes are obtained in Xilinx software14.2v. Area,power,delay is analyzed in cadence using 90nm & 180nmTechnology.
Topic Mining Based on the Heat of Micro-blog

With the popularity of social networks, users interact with each other and comment on current events through online social network more and more frequently, how to extract the hot topic has become the focus of natural language processing research. In this paper, we propose a hot topic extraction method based on the popularity of micro-blog. First we use cross-entropy to define the heat of micro-blog according to the number of its comment and forwarding. Then combining the heat of micro-blog and word2vec model to assign weight for each word, and we apply bidirectional LSTM(Long Short Term Memory) to conduct document semantic coding and single-pass method for topic mining. Besides, We separately introduce three evaluation indicators to test the proposed method: UMI(Normalized Information), PMI(Point-wise Mutual Information)and Purity. We used crawlers to crawl over 10,000 micro-blogs in 15 hot topics in 2017 in Sina Weibo, the experiment results show that the proposed method performs better and has stronger robustness than the traditional topic detection method.
Bullying at school

Foreword. Acknowledgments. Introduction. Part I: What We Know About Bullying: Stories from the Press. What is Meant by Bullying? Some Information About the Recent Studies. One Student out of Seven. Bully/Victim Problems in Different Grades. Have Bully/Victim Problems Increased. Bullying Among Boys and Girls. How Much Do the Teachers Do? How Much Do the Parents Know. Bullying at School and on the Way to and from School. Comparison between Norway and Sweden. Is Bullying Primarily a Big-City Problem? The Size of the School and the Class. Supervision During Recess and Lunch Time. On Analysis at Different Levels. Stability of Bully/Victim Problems over Time. Is Bullying a Consequence of Competition at School? What Role do External Deviations Play? What Characterizes the Typical Victims? What Characterizes the Typical Bullies? Physical Weakness and Strength. A Concrete Picture. What Kind of Rearing Conditions Create Aggressive Children? Group Mechanisms. Other Factors. A Wider Perspective on Bully/Victim Problems. A Question of Fundamental Democratic Rights. Portrait Sketches of Henry and Roger, a Victim and a Bully. Guide for the Identification of Possible Victims and Bullies: Being a Victim - Possible Signs. Being a Bully - Possible Signs. Part II: What We Can Do About Bullying: Overview of Intervention Program. Goals. Awareness and Involvement. Measures at the School Level: A School Conference Day. Supervision and Outdoor Environment. Contact Telephone. A General PTA Meeting. Teacher Groups for the Development of the Social Milieu of the School. Study Groups in Parent-Teacher Associations (Parent Circles). Measures at the Class Level: Class Rules about Bullying. Praise. Sanctions. Class Meetings. Cooperative Learning. Common Positive Activities. Class PTA Meetings. Measures at the Individual Level: Serious Talks with the Bully. Talks with the Victim. Talks with the Parents. What Can the Parents of the Bully Do? What Can the Parents of the Victim Do? Use of Imagination. Discussion Groups for Parents of Bullied or Bullying Students. Change of Class or School. Part III: Effects of The Intervention Program: Main Findings. Brief Comments. Basic Principles. Additional Characteristics. Part IV: Additional Practical Advice and a Core Program: Support form the Principal and Formation of a Coordinating Group. Awareness and Involvement. Adequate Supervision During Recess and Lunch Time. Class Rules and Class Meetings. Talks with Involved Students and Their Parents. Overview of Core Program. Final Words. References. Index.
Une Approche De Transformation Des Diagrammes D'activités UML Vers Les Réseaux De Pétri Temporellement Temporisés

The technological evolution in the field of networks and telecommunications led us to develop applications that are well suited to these new advances, such as communication protocols and distributed systems. The latter apprehend the temporal aspect. Indeed, the modeling must involve time management mechanisms and events where the notion of simultaneous evolutions of actions is taken into account. Therefore, we need models that support the expression of non-atomic actions structurally and temporally, that is to say divisible actions and not necessarily of zero duration. However, temporally timed petri net in which actions can last over time have provided the opportunity to express this type of behavior. The work presented in this project is a contribution in the field of Model Driven Engineering (MDI). Its main objective is the application of model transformation techniques, and more precisely graph transformations, to be able to apply analysis and verification tools during the development process of complex systems. Therefore, we propose an approach and a tool for the modeling and the transformation of the activity diagrams into temporally timed models of Petri nets. The implementation of this approach requires the use of the AToM3 tool and the PYTHON language.
Parameter Optimization Of CPG And Its Application In Robot

The central pattern generator (CPG) has been identified in the spinal cords as responsible for locomotion movements. It is difficult to select the appropriate values of parameters in CPG model. In this paper, the Matsuoka oscillator is selected as the rhythm-generation model and the bat algorithm is chosen to search the parameters of CPG model. The paper shows the details of the parameters optimization and the diagram of the convergence performance. In the paper, the CPG includes the main rhythm-generation neuron and the minor pattern-formation neuron, and Rowat's neural model is chosen as the patternformation neuron. Then the CPG model is applied to the three-link biped robot and the result shows that the method of parameter optimization is effective.
Ending Violence Against Women

This issue of Population Reports focuses on ending violence against women. It tackles primarily two types of violence: 1) abuse of women within marriage and other intimate relationships; and 2) coerced sex whether it takes place in childhood adolescence or adulthood. The first part contains the editors summary and an article entitled The World Takes Notice. Intimate partner abuse is discussed thoroughly and is supported by tables presenting various statistics on relevant issues such as help seeking by physically abused women. A framework for understanding partner violence is also presented. The article on sexual coercion deals with forced sexual initiation and sexual abuse in childhood. The impact of violence on the reproductive health of women and its threat to health and development are also discussed. The last part focuses on specific strategies in detecting preventing and stopping the abuse. An agenda for change is then presented.
Effects of PTA Deposition Parameters on Coating Quality of 41Cr4, 50CrV4 and 100Cr6 Steel

Present paper is about experimental investigation coating quality obtained by plasma transferred arc (PTA) welding in relation to the material-and process parameters. The aim of work is to get different materials coatings with satisfactory properties, which could be used at hybrid bevel gears further. The main idea of this method is to create bi-metal workpieces by deposition one material over other, then form it by thermo-mechanical processing. Using hybrid bevel gears would reduce costs because the gear would not be made of one expensive material, but has only a functional surface layer with cheap core. In is investigation steel cylinders made of C22 are coated with the higher-quality heat-treatable different steels: 41Cr4, 50CrV4 and 100Cr6 using PTA welding. Coating quality is depend on many deposition parameters, such a feederate, current, preheating temperature etc.
A hybrid CPU‐GPU‐MIC algorithm for minimal hitting set enumeration

We present a hybrid exact algorithm for the Minimal Hitting Set (MHS) Enumeration Problem for highly heterogeneous CPU‐GPU‐MIC platforms. With several techniques that permit an efficient exploitation of each architecture, low communication cost, and effective load balancing, we were able to enumerate MHSs for large instances in reasonable time, achieving good performance and scalability. We obtained speedups of up to 25.32 in comparison with using two six‐core CPUs and we also enumerated MHSs for instances with tens of thousands of variables in less than 5 hours. We also evaluated our algorithm with a real‐world driven dataset, and with a large CPU‐GPU cluster, we unprecedentedly enumerated in parallel large minimal hitting sets of this dataset in less than 8 hours. These results reinforce the statement that heterogeneous clusters of CPUs, GPUs, and MICs can be used efficiently for high‐performance computing.
Smartphones and Close Relationships: The Case for an Evolutionary Mismatch

This article introduces and outlines the case for an evolutionary mismatch between smartphones and the social behaviors that help form and maintain close social relationships. As psychological adaptations that enhance human survival and inclusive fitness, self-disclosure and responsiveness evolved in the context of small kin networks to facilitate social bonds, promote trust, and enhance cooperation. These adaptations are central to the development of attachment bonds, and attachment theory is a middle-level evolutionary theory that provides a robust account of the ways human bonding provides for reproductive and inclusive fitness. Evolutionary mismatches operate when modern contexts cue ancestral adaptations in a manner that does not provide for their adaptive benefits. We argue that smartphones and their affordances, although highly beneficial in many circumstances, cue humans’ evolved needs for self-disclosure and responsiveness across broad virtual networks and, in turn, have the potential to undermine immediate interpersonal interactions. We review emerging evidence on the topic of technoference, which is defined as the ways in which smartphone use may interfere with or intrude into everyday social interactions. The article concludes with an empirical agenda for advancing the integrative study of smartphones, intimacy processes, and close relationships.
Study on a Novel Recyclable Anticorrosion Gel Coating Based on Ethyl Cellulose and Thermoplastic Polyurethane

In this paper, ethyl cellulose, thermoplastic polyurethane, and mineral oil were used as the main raw materials to synthesize a recyclable thermoplastic gel for anticorrosion coatings by a hot melt method. In addition, the effect of thermoplastic polyurethane on the properties of the coating was discussed. The structure and corrosion protection properties of the coating were characterized and analyzed by a scanning electron microscope, transmission electron microscope, X-ray diffraction, infrared spectroscopy, dynamic mechanical analysis, salt spray test, and electrochemical measurements. The results show that the ethyl cellulose and oil in the coating can form a stable organic-gel structure by hydrogen bonding, and the mineral oil and castor oil are uniformly dispersed in the coating. The surface of the coating does not change after 3000 h of a salt spray test. During the repeated hot melting spraying and immersion in 3.5 wt. % NaCl solution for five times, the electrochemical impedance modulus of the coating was always above 109 Ω⋅cm2, the water absorption rate was always less than 1.5 wt. %, and the mechanical properties of the coating did not decrease. This novel coating could be used for the corrosion protection of flange and valve connections in pipeline and bolting connections in different industries. The disassembly and assembly operation of these connection structures during the regular maintenance will destroy the ordinary anticorrosion coating, and the irregular geometric shape of such places also make difficulties for the preparation of ordinary coatings onsite.
Secure Architecture for Virtual Machine to Container Migration in Cloud Computing

Cloud Computing is extension of virtualization concepts which can be included ‘As a Service’. It has extensive resource scaling and automation capability to integrate everything together in holistic view. In recent days, Cloud Computing has multiple enhancements and it is maturing with more flexibility but still security issues such as Confidentiality, Integrity and Availability remain exists and cloud adoption is happening drastically even though if issues persist. Virtual machine is building blocks for the application landscape and application architecture is monolithic. Container is the next level of abstraction layer in cloud computing. To migrate the existing virtual machine workload into container based will get into lot of security issues. In this paper, we propose secure architecture to migrate the virtual machine workload to containers in Cloud Computing align with security parameters. Current industry trends and challenges migrate the workload into cloud with server-less architecture and containerization.
Plasma Electrolytic Oxidation (PEO) Layers from Silicate/Phosphate Baths on Ti-6Al-4V for Biomedical Components: Influence of Deposition Conditions and Surface Finishing on Dry Sliding Behaviour

Plasma Electrolytic Oxidation (PEO) layers were produced on Ti-6Al-4V in different conditions, so as to assess the influence of layer structure, current mode, duty cycle and surface finishing on microstructural features and tribological behaviour. In DC regime, the double-layer structure (silicate bath followed by phosphate bath) beneficially affected wear resistance. In unipolar pulsed DC (phosphate bath), the wear resistance of single layers improved with increasing duty cycle, due to improved microstructure and adhesion: high duty cycle single layers can be considered an alternative to double-layer deposition. Surface finishing by abrasive blasting with spheroidal glass beads leads to surface roughness decrease and hence to decreased friction and improved wear resistance. The best-performing PEO layers showed promising results in the comparison with reference materials such as CoCrMo (both uncoated and (Ti,Nb)N PVD-coated) and PVD-coated Ti-6Al-4V up to 30 N normal load.
Hexagonal Geometry Coil for a WPT High-Power Fast Charging Application

Magnetic cores for inductive wireless power transfer (WPT) have many applications and regularly use E, U, pot, and planar/circular shape coils. The systems for wireless energy transfer are not conveniently in the power levels required for some applications, as for the electric vehicle (EV), for instance, and there is a necessity to study different coil geometries to improve its efficiency and decrease its volume and weight. In this article, we presented a new hexagonal-geometry coil design placed in the secondary of a WPT, and the tests demonstrate that a Type-II system compliance requirements (SAE J2954) can be accomplished with greater efficiency and lighter weight compared to the circular coil. Finite element analyses accurately allow predicting the mutual inductance and achieving the optimal coil parameters and an experimental setup allows obtaining a rated power output of 7.7 kW operating at 85 kHz. The experimental testbed comprises a series-series resonance compensation circuit, a spiral coil used as primary, the proposed hexagonal pad for the secondary coil, and an ac-output, half-bridge inverter as a source, achieving a lighter, and efficient system in a realist scenario.
Novel synthesis of molybdenum nitride/oxide on AISI-316 steel assisted with active screen plasma treatment

In this work, novel synthesis of molybdenum nitride/oxide coating on AISI-316 is attained by active screen plasma (ASP) treatment, using molybdenum active screen (AS). Molybdenum nitride is synthesized in N2-H2 environment, while oxidation is carried out in O2-H2 and O2-Ar environment. The synthesized coatings are characterized by microhardness tester, X-ray diffraction and scanning electron microscopy . The results show a successful synthesis of coating with improved hardness. This study illustrates that using molybdenum active screen, molybdenum nitride/oxide coating can be produced and industrial compatibility of this technique increases the effectiveness of these results on wide-scale engineering applications.
Application of Interpolation Pooling in Convolutional Neural Networks

In the existing convolutional neural networks, the majority of the used pooling operations are max pooling or mean pooling, but it would lose some important feature information when processing the feature maps. Here we report interpolation pooling to overcome the problem for retaining more effective information of feature maps. The interpolation pooling takes the known pixel points of 4x4 with the nearest to the interpolation point into account. Due to the distance from the pixels to be inserted, the weight of the pixels near the distance in the calculation is larger. We apply it to different convolutional neural networks, such as lenet-5 and pyramid convolutional neural networks. We found that the method has the advantages of faster convergence and higher accuracy than the traditional method of pooling.
An ode to polyethylene

Polyethylene is one of the most produced materials in the world—is it a blessing or a curse? This article makes the case for the former by highlighting a range of emerging applications of polyethylene in energy and sustainability, including passive cooling of electronics and wearables, water treatment and harvesting, and even ocean cleanup from plastic waste debris. Usually, when the word “polyethylene” is mentioned in the context of discussing sustainability issues, a good chance the message is that “the current level of environmental plastic pollution is unsustainable. ” Polyethylene does indeed comprise a large volume of plastic waste, but only because it is used in so many different products, which eventually reach the end of their lifetime and end up on the landfills and in the ocean. There is, however, a good reason—actually, many good reasons—why polyethylene is one of the most produced materials in the world, and this review discusses various useful applications stemming from the unique material properties of polyethylene. Some of the emerging applications of polyethylene hold high promise for sustainable energy generation from renewable sources and for sustainable management of planetary energy and water resources. Light weight and corrosion resistance of polyethylene, combined with its unique infrared transparency and heat transfer properties, which can be engineered to span between the near-perfect insulation and metal-like conduction, are at the core of new technological applications of a not-so-old material.
The Body Doping Concentration Effects on the CNTFETs Characteristics

This paper presents the effects of body doping concentration on a carbon nanotube field-effect transistor (CNTFET) with symmetrical coaxial geometry structure, that transistor has a wrapped gate dielectric around the nanotube. At first, Gordon Moore's law is expressed briefly. Then, the limitations and problems after 10nm channel lengths of the traditional metal-oxide-semiconductor field-effect transistors (MOSFETs) scaling are introduced and the structure of carbon nanotube field-effect transistor as a solution for limitations is illustrated. The simulation process is performed, then the effect of body doping concentration is investigated on the current-voltage characteristics, energy profile and electron density of transistor. The simulation is based on a self-consistent solution of the two dimensions Poisson equation and Schrodinger solver. Results show that with increasing body doping concentration level, the transistor output current, energy profile and electron density of transistor will increase and on/off current ratio will decrease. Index Carbon Nanotube Field Effect Transistor (CNTFET); body doping; self-consistent solution; Schrödinger equation.
Early-age shrinkage properties of eco-friendly reactive powder concrete with reduced cement content

Abstract Reactive powder concrete (RPC) is an ultra-high strength and high ductility cement-based composite. Associated with early-age shrinkage, high cement dosage may reduce the mechanical and durability performance of RPC. This study aims to clarify the influence of high volume mineral admixtures, aggregate restraint and fibre reinforcement on early-age autogenous and drying shrinkage of eco-friendly RPC at early-age (<24 h). To assess the effect of aggregates and fibres on shrinkage behaviour, neat paste, mortar phase without steel micro-fibre and RPC with steel micro-fibre were produced. Portland cement was partially replaced by 50% fly ash (FA) or ground granulated blast furnace slag (GGBFS). As a result, the following four major conclusions were obtained: (1) autogenous and drying shrinkage of the paste were decreased by FA replacement, but increased by GGBFS replacement, (2) aggregate restraint on early-age shrinkage was more pronounced in the case of high volume replacement of mineral admixtures, and more effective to reduce autogenous shrinkage compared to drying deformation, (3) neither autogenous nor drying shrinkage were importantly reduced by steel micro-fibre reinforcement and (4) eco-friendly RPC with a lower shrinkage can be produced by using high volume FA replacement.