Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermomechanical fatigue of solder joints: a new comprehensive test method

A test method involving simultaneous imposition of temperature cycles and strain on discrete solder joints in a shear orientation is presented. The stress, microstructure, and number of cycles to failure were monitored. Cycles to failure were determined by a continuous electrical detection method. Solder joints with composition 60Sn-40Pb and 40Sn-40In-20Pb were tested using the method at 20% shear strain. The 60Sn-40Pb alloy had a shorter fatigue lifetime than did 40Sn-40In-20Pb. This is attributed to heterogeneous coarsening that concentrates strain in a small area of the 60Sn-40Pb microstructure. In contrast the 40Sn-40In-20Pb microstructure becomes refined. The heterogeneous coarsening also results in cyclic softening in 60Sn-40Pb, which was not observed in 4Sn-40In-20Pb. Failures initiated within the coarsened band in 60Sn-40Pb at Sn-Sn grain boundaries or phase boundaries. In contrast, failures initiated at the surface of 40Sn-40In-20Pb joints and propagated through both phases of the microstructure. <<ETX>>
Welfare Evaluation of VERs with Fiscal Policy

Obstfeld and Rogoff (1995) endeavor to investigate the international welfare spillovers with monopolistic competition and sticky output prices in a flexible exchange rate system. This paper applies their framework to analyze the macroeconomic effects of voluntary export restraints (VERs) with fiscal policies, generating plenty of results. The particular contribution of this paper to the welfare effects of country sizes on policy lies in the cases of numerical simulations. The discussions of spillover effects, numerical simulations, and imperfect competition to export quotas as well as fiscal policies abroad fill in the gaps on the literature. Then it takes a further step on international macroeconomics.
Storage Techniques in Cloud Computing: Review

— Since past few years, it has been huge growth in cloud computing. It proffers kinds of services for example, Software as a Service (SaaS), Platform as a Service (PaaS), (IaaS). Cloud computing gives the user and firm to store their data without physical contact and enjoy high standard applications on the ask authoritatively without having any load connect with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. There have been a different technique which in turn gives rightness of data, for example distributed erasure-coded data & flexible distributed storage integrity checking mechanism. This work is based on the survey of different techniques of cloud storage with their advantages, disadvantages and security challenges. These specific studies admit you to find long term research areas and techniques for improving the current drawbacks.
3-Dimensional Illustration By Multiply Exposed Hologram

Nevertheless it is holography which is regarded as a theme of 3-dimensional image, it had taken much time before it was regularly used as a display. Practical instances, which are worthy of special mention, have lately appeared at the same time from both Japan and U.S.A. One of them is to be used in the cover of the National Geographic, and also used in the jacket of some music records.
TPM can go beyond maintenance: excerpt from a case implementation

Purpose – The aim of this paper is to present a generic model on using the total productive maintenance (TPM) concept in conjunction with ecology oriented manufacturing (EOM) and 5S focusing on their joint strengths in attaining organizational goals in furtherance to the equipment maintenance objectives.Design/methodology/approach – A systematic implementation‐framework coupled with the standard tools, techniques and practices has been designed. The framework was applied in a large semiconductor manufacturing company.Findings – It is evident that a well drawn TPM implementation plan not only improves equipment efficiency and effectiveness but also brings appreciable improvements in other areas such as reduction of manufacturing cycle time, size of inventory, customer complaints, and creates cohesive small group autonomous teams and increases the skill and confidence of individuals. The resulting system is found to be more productive in terms of both partial and total productivity measures. This is in line.
Marginalization socio farm laborers due to conversion of agriculture land

Abstract This study aims to determine the impact of marginalization due to the Conversion of agricultural land in Ngringo Village and the multiple livelihood strategies farmworkers use for daily survival. This study uses phenomenology to investigate socio-economic marginalization caused by land conversion to farmworkers. Field data were collected by interview and analysis of the actions taken by the informants in their daily lives. The main reason for using a phenomenological approach in this study is the unique lifestyle of farmworkers in Ngringo Village. This study shows that the initial problem due to land conversion is economic difficulties, which causes landowners to sell their agricultural land to cover all the necessities of life and their children’s education costs. In addition, the narrower the farmland to be cultivated, the more excellent the opportunity for farmers to work outside the agricultural sector; One of them is a construction worker. With such conditions, farm labourers continue to work on agricultural land that has changed ownership to become a company or factory because of the consequences. They may lose their livelihood because the land is used to build factories and industries. Another way to survive is to work as a srabutan. This phenomenon is a form of economic morality owned by farmworkers in Ngringo Village.
Designing dimmable electronic ballast with frequency control

This paper provides a guideline for designing a frequency controlled dimmable electronic ballast for the fluorescent lamp. The design equations are derived based on a power-dependent lamp model. The dimming characteristics of a fluorescent lamp by frequency control can be predicted by incorporating the lamp model into the electronic ballast. The circuit parameters are designed by considering both the starting voltage and the filament power during the dimming operation. An electronic ballast with the half-bridge series-resonant parallel-load inverter is used as an example for illustrating the design procedure. The calculated results are verified by experimental tests on a laboratory prototype circuit.
Constrained Deep Generative Linker Design Using 3D Structural Priors

Generative models have increasingly been proposed as a solution to the molecular design problem. However, it has proved challenging to control the design process or incorporate prior knowledge. In particular, generative methods have made limited use of three-dimensional (3D) structural information even though this is critical to binding. This work demonstrates both a method to incorporate such information and the beneﬁt of doing so. We combine an existing graph-based deep generative model, DeLinker, with a convolutional neural network to utilise physically-meaningful 3D representations of molecules and target pharmacophores for linker design. The 3D pharmacophoric information results in improved linker generation and allows greater control over the design process. In multiple large-scale evaluations, we show that including 3D pharmacophoric constraints results in substantial improvements in the quality of generated molecules. On a new, challenging set derived from PDBbind, our model achieves almost a 10 × increase in the number of true linkers recovered compared to the baseline DeLinker method.
High-gain 150-215-GHz MMIC amplifier with integral waveguide transitions

The design and measured results of a six-stage InP monolithic microwave integrated circuit (MMIC) amplifier with 20/spl plusmn/6 dB gain from 150 to 215 GHz is reported. The MMIC has integral probes for direct coupling to 140-220 GHz WR5 waveguide without bond wires or external transitions. This is the first amplifier operating above 140 GHz with sufficient gain to be useful as a single-chip amplifier and demonstrates the practicality of MMIC-based systems in this frequency range for use in radiometry, compact radars, and communication systems.
Waste Water Remediation Using Nanotechnology-A Review

Textile azo dyes are used for coloring fabrics that are potentially carcinogenic and mutagenic chemicals. It is disposed of as industrial effluents into the environment, causing major hazardous impacts on the aquatic ecosystem, and also gets deposited onto the soil for a prolonged period. Several conventional methods previously applied for eliminating these dyes are limited for their low efficiency and high cost. To overcome those issues, various novel semiconductor photocatalysts, nano adsorbents, nanocomposites, and other nanostructures were employed for achieving maximum efficacy at a low cost. In this review, we shall discuss the different nanostructures and nanocomposites used for textile dye remediation.
A Security Mechanism for Web Servers Based on Deception

- The use of deception to deal with an adversary has been a tool for military strategists, intelligence agencies and law enforcement authorities for a long time. In computer security, deception includes actions taken to deliberately mislead attackers and to thereby cause them to take (or not take) specific actions that aid in the defense of a computer system. In recent years, honeypots have helped strengthen computer security through basic deception, by using them to study various attacks and monitor the way in which they were being accessed by an intruder. However, despite the importance of deception in computer security, deploying deception in modern web servers and web-based applications has not been extensively studied beyond deploying honeypots. In this paper, we examine the use of deception in the case where an intruder attacks a web server as a first step of an intrusion designed to access data sources on an internal network. We examine the development of a deception module which can be hooked into the Apache web server to detect malicious use of scripts and provide a deceptive response as necessary.
Encyclopedia of E-collaboration

E-collaboration, while having its roots in electronic technology such as telephones and other rudimentary electronic devices, has expanded dramatically with todays plethora of computer-supported cooperation and computer-mediated communication. The Encyclopedia of E-Collaboration provides the most comprehensive compilation of information on the design and implementation of e-collaboration technologies, the behavioral impacts of e-collaboration technologies on individuals and groups, and theoretical considerations on links between the use of e-collaboration technology and behavioral patterns. This cutting-edge encyclopedia delivers indispensable content to libraries and researchers looking to develop programs of investigation into the use of electronic collaboration.
On the Control of Active End-nodes in the Smart Grid

The electrical grid has substantially changed in recent years due to the integration of several disruptive load and generation technologies into low-voltage distribution networks, which are meant to smarten it and improve its efficiency. These technologies have subjected the grid to unprecedented amounts of variability and uncertainty that threaten its reliability and could reduce its efficiency. Even a low penetration of these disruptive technologies may cause equipment overloads, voltage deviations beyond permissible operating thresholds, and bidirectional power flows in distribution networks. The smart grid will comprise a vast number of active end-nodes, including electric vehicle chargers, solar inverters, storage systems, and other elastic loads, that can be quickly controlled to adjust their real and reactive power contributions. Given the availability of inexpensive measurement devices and a broadband communication network that connects measurement devices to controllers, it is possible to incorporate potentially disruptive technologies into distribution networks while maintaining service reliability, using some novel control mechanisms, which are the focus of this thesis. In this thesis, we propose a new paradigm for the control of active end-nodes at scale. This control paradigm relies on real-time measurements of the states of the distribution network and the end-nodes rather than long-term predictions. We use an optimal control framework to design mechanisms that balance a set of system-level and user-level objectives. We study control of active end-nodes in two different contexts: a radial distribution system and a grid-connected public electric vehicle charging station powered by on-site solar generation. We develop both a feedback controller and an open-loop controller, and propose centralized and distributed algorithms for solving optimal control problems. We implement and validate these control mechanisms using extensive numerical simulations and power flow analysis on a standard test system.
FRAGILITY AND LOSS ASSESSMENT VIA MIXED PROBABILISTIC MODELS OF SEISMIC DEMAND

A mixture model is presented for combining the results of different models or analysis approaches into a single probabilistic seismic demand model that is suitable for fragility assessment. A structure can be represented using different model types or even levels of resolution for the same type, while it may also be analyzed via methods of different complexity, most notably static versus dynamic nonlinear approaches. Combining the results from different sources can be beneficial as it allows updating the results of a simpler approach or combining the strengths of two different models. For example, as the static pushover analysis offers inexpensive yet low-fidelity demand assessment at any level of intensity, its results may be locally or globally updated by adding stripes of (computationally expensive) response history analysis. On the modelling side, different model types may offer accuracy advantages in complementary response regions. This is the case of distributed-plasticity fiber models that offer higher fidelity for reinforced concrete frames at low (pre-capping) deformations, while lumped-plasticity models are more reliable for larger (post-capping) deformations closer to collapse. Through the combination of the results of multiple models of differing fidelity we can potentially better capture the performance of a structure at all levels of seismic intensity. By employing a minimal 5 parameter power-law-based model we offer viable options for forming mixed probabilistic seismic demand models that can combine both different models and different analysis methods into a single output suitable for fragility and loss assessment.
Could shock tests adequately replace drop tests?

Drop tests are often replaced in qualification evaluations of microelectronic and optoelectronic products by shock tests. The objective of the study is to develop simple analytical models for the evaluation of the dynamic response of a vulnerable structural element in a microelectronic or optoelectronic product/package to an impact load occurring as a result of drop or shock tests. We use the developed models to find out if shock tests could adequately mimic drop test conditions and correctly reflect the corresponding response. We use the case of an elongated rectangular simply supported plate to illustrate the suggested concepts and findings. We show that in order to adequately mimic drop test conditions, the shock test loading should be as close as possible to an instantaneous impulse, and that the duration of the shock load should be established based on the lowest (fundamental) natural frequency of vibrations. We demonstrate that, if the shock test loading is not short enough, the induced curvatures and accelerations can exceed significantly the curvatures and accelerations in drop test conditions.
Research on Recyclable Garbage Classification Algorithm Based on Attention Mechanism

: With the rapid development of global productivity levels, the problem of garbage disposal is getting more and more serious. Garbage classification is an important step to realize garbage reduction, harmlessness and resource utilization. With the increase in types and quantities of garbage, traditional garbage classification image algorithms can no longer meet the accuracy requirements of garbage identification. This paper proposes a ResNet18 convolutional neural network model based on the attention mechanism for the classification of recyclable garbage. The attention module is added after convolution, so that the model can pay more attention to the important information in the feature map. The model can automatically extract the characteristics of garbage for classification, including: glass, metal, plastic and paper. Experimental results show that the algorithm has an accuracy rate of 92% in the classification of recyclable waste, which can effectively classify recyclable waste.
Efﬁcient Mining of Web Access Patterns using Constrained Self-Organizing Map Clustering

: Web usage mining attempts to reveal interesting patterns of web access from a large number of web users. The main source of web usage data is web server logs. From an organizational point of view, web usage mining is very important as it assists in server management. The administrators of web servers can analyze web server log data to understand user behavior, allocate resources accordingly and provide customized service to similar groups of users. Clustering is a predominant data mining that partitions a group of unlabelled data instances into distinct groups or clusters. Several clustering techniques have been proposed in literature, which includes stand-alone as well as ensemble clustering techniques. Most of them lack robustness and cannot effectively visualize clustering results to help knowledge discovery and constructive learning. This paper explains the use of Self Organizing Maps (SOM) in a cluster ensemble framework based on some prior input constraints. Cluster ensemble is a set of clustering solutions obtained as a result of individual clustering on subsets of the original high-dimensional data. The ﬁnal consensus matrix is fed to a neural network which transforms the input data to a lower-dimensional output map. The map clearly depicts the distribution of input data instances into clusters. The proposed method is tested on real web log data. Evaluation of clusters obtained justiﬁes the superiority of the approach over conventional clustering techniques.
Deformable Objects Manipulation Using Model Adaptation Techniques

—Precise manipulation of deformable objects remains challenging due to the trade-off between the model complexity and accuracy. Pushing has been a foundational task in demonstrating nonprehensile manipulation capability with robots. In this work, we study the problem of pushing a deformable object. To bridge the gap between complexity and accuracy, we propose an adaptation to the rigid body model for representing the motions of a deformable object. We concentrate on the trajectory tracking problem in which a robot arm pushes a deformable object along a desired trajectory. To investigate the utility of the proposed model, we introduce two control methods. First, an adaptive model predictive control (MPC) is considered to handle the uncertainties caused by the deformations of the object. Second, a learning-based control strategy aimed at achieving improved performance by predicting the object’s deformation has been developed. Our results demonstrate the efﬁciency of the proposed techniques by decreasing the deviation from the desired trajectory by more than 50 % .
Betting Against Correlation

Recall that the low-risk effect is the tendency for low-risk assets to do better than they should versus high-risk assets. That’s a loaded sentence as I haven’t defined risk or how we should measure “better than they should. ” When it comes to the low-risk effect, risk has been measured in many ways including most prominently as market beta or some form of volatility. “Better than they should” is usually, explicitly or implicitly, based on standard singleor multi-factor market equilibrium models where risk should be rewarded with more expected return. In general a broad set of researchers have found that, within a very wide range of asset classes and even across asset classes, low-risk assets, measured in different ways and against a reasonably wide set of potential models of market equilibrium, do too well versus high risk assets.
Reconfiguration planning for a self-assembling modular robot

Addresses motion planning of a homogeneous modular robotic system. The modules have self-reconfiguration capability so that a group of the modules can construct various robotic structures. Motion planning for self-reconfiguration is a kind of computationally difficult problem because of many combinatorial possibilities of modular configuration against the restricted degrees of freedom of the module; only two rotation axes per module. We show a motion planning method for a class of a multi-module structure, based on global planning and local motion scheme selection that is effective for solving the complicated planning problem. The fundamental motion is also demonstrated through hardware experiments.
INFLUENCE OF FOLIAR NUTRITION ON YIELD AND YIELD COMPONENTS OF DURUM WHEAT (TRITICUM DURUM DESF.) GROWN IN SYSTEM OF ORGANIC PRODUCTION

This paper examines the effect of foliar nitrogen nutrition on seven durum wheat genotypes produced according to the principles of organic production. The experiments were performed during two growing seasons on organic farm in Čačak, Serbia. Three different N fertilization strategies have been compared: T1control without N application after the stem elongation stage; T2foliar N fertilization at the beginning of heading, one spray with 0.3% organic fertilizer Trainer (5% N and 31% amino acids); T3foliar N fertilization in both stages, heading and anthesis with 0.3% organic fertilizer Trainer (5% N) each. Analysis of grain yield and yield components (number of spikes m, number of grains per spike and thousand grain weight (TGW) was performed. The number of spikes per square meter, number of grains spike, TGW, and grain yield significantly increased (P ≤ 0.01) with different levels of fertilizers. Foliar fertilization had a significant effect on yield in both growing seasons. Grain yield, on average for all genotypes and years after spraying were 22% (one N treatment), and 54% (two N treatments) higher than in the control. Grain yield was about 26% higher in two N treatments than in one N treatment. Grain yield was positively correlated with other traits (TGW, number of spikes m and number of grains/spike).
Development of a Remote Water Leakage Localization System Combined with Phased Array UVP and Robot

Ryo NISHIWAKI , Ari HAMDANI , Hideharu TAKAHASHI , Gen Endo 3 and Hiroshige KIKURA 2 1 Department of Nuclear Engineering, Tokyo Institute of Technology / N1-7, 2-12-1, Ookayama, Meguro-Ku, Tokyo, 152-8550, Japan 2 Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology / N1-7, 2-12-1, Ookayama, Meguro-Ku, Tokyo, 152-8550, Japan 3 School of Engineering, Tokyo Institute of Technology / I1-68, 2-12-1, Ookayama, Meguro-Ku, Tokyo, 152-8550, Japan