Miracle-dz/UniFAR-FTUs huggingface dataset:
A Genetic Algorithm for ASIC Floorplanning

Perumalla, Anvesh Kumar. M.S.E.E. , Department of Electrical Engineering, Wright State University, 2016. A Genetic Algorithm for ASIC Floorplanning. Semiconductor integrated circuits (ICs) have become key components in almost every aspect of our daily lives. From simple home appliances to extremely sophisticated aerospace systems, we have become increasingly dependent on ICs. System-on-chip (SoC) is an IC methodology that includes multiple design technologies on a single IC chip. SoC was developed to further integrate and manage system complexity. Due to SoC and increasingly dense IC fabrication technologies, design time and thereby system time-to-market are becoming more critical drivers of the IC design cycle. In order to address issues related to design time and time-to-market, highly optimized semiconductor intellectual property (IP) is often leveraged. These IP blocks are predesigned, highly optimized sub-system components. To take full advantage of these and other sub-components, we have developed a Genetic Algorithm (Simulated Evolution) based floorplanning tool to quickly and efficiently solve the SoC and application specific integrated circuit (ASIC) floorplanning problem. Our tool takes advantage of both hard and soft macros to optimize IC area usage.
The austenitic peak stress model of low-alloy steel at elevated temperature based on the valence electron theory

The traditional method of calculating the high-temperature austenite peak stress empirical model proposed by Sellars and McTegart has been used for 50 years. A new method based on the valence electron theory is presented in three steps. The first step is to calculate the austenitic valence electron parameters and their statistical values at high temperature. The second one is to calculate the binding energy and total binding energy based on the valence electron statistic parameters. The total binding energy is defined as the sum of the mole fractions of the constituent elements in low alloy steel and the corresponding binding energy. The last step is to establish the model of austenitic peak stress at elevated-temperature based on the combination of Hall-Petch formula and Misaka formula as well as the total binding energy. The prediction results show that the austenitic peak stress model presented in this paper has good precision.
Performance of Multi-band Multi-antenna for Mobile Terminal Employing Folded Inverted-L Antennas

The rapid growth in mobile communication systems leads to a great demand for Multi-Input Multi-Output (MIMO) and multi-band systems to enhance the data rate and the capacity of the radio network [1]-[4], thus both multi-antenna and multi-band technologies must be employed for mobile terminals. In regard to the link budget, the performance of antennas is a vital element since the performance will not only affect the quality and the coverage of the mobile network but also the capacity of the entire networks. Hence, clarification of the performance of multi-band and multiantennas mounted on actual mobile terminals is currently urgently needed. This is especially true in practical usage situations and since the size and style of mobile terminals have changed significantly over the last several years. This paper presents the available performance of multi-band and multi-antennas designed for 4x4 MIMO and triple-band operation covering the 800 MHz, 1.7 GHz, and 2 GHz bands, when the antennas are mounted on an actual mobile terminal. We first propose a multi-band folded inverted-L antenna in this study. Then we investigate the influence of mutual coupling, implementation losses and multi-antenna performance when employing the multi-band folded inverted-L antennas. The investigation is based on the measurement in an anechoic chamber. The developed measurement facility that employs the multi-channel antenna pattern measurement system enables us to acquire the amplitude and phase patterns of multi-antennas at high speed. The rest of this paper is organized as follows. Section 2 describes the proposed antenna configurations and Section 3 presents the measured results for the antenna characteristics. The simulated Maximum Ratio Combining (MRC) beamforming gain and the MIMO channel capacity based on the measured radiation patterns are discussed in Section 4 and the concluding remarks are given in Section 5.
Synthesis of LiNi0.5Mn1.5O4 nanofibers by electrospinning

This thesis explores a novel way of producing LiNi0.5Mn1. 5O4 nanofibers using the electrospinning method. This material is a candidate material for a new high-rate cathode for use in Lithium-ion batteries. Firstly the theoretical background was explored. Then a recipe to produce LiNi0.5Mn1. 5O4 by the sol-gel method was adapted to be able to produce the electrospun nanofibers. Furthermore different annealing processes have been proposed to anneal the LiNi0.5Mn1. 5O4 nanofibers without damaging the morphology. The morphology of the resulting samples was investigated using Scanning Electron Microscopy. The composition of the annealed material was determined by X-ray Diffraction. With this method it was found that it was possible to produce LiNi0.5Mn1. 5O4 nanofibers using the proposed recipe. However, it was found that the annealing process needs improvement, because thick samples are not annealed properly. Also, the XRD spectra showed that there was a second phase, probably consisting of LiOH � H2O and Li2O. Still a lot of work has to be done before electrospun LiNi0.5Mn1. 5O4 cathodes can be used in Lithium-ion batteries.
Centralization, Decentralization and Incentive Problems in Eurozone Financial Governance: A Contract Theory Analysis

This paper uses a contract theory framework to analyze the mechanisms of eurozone financial governance, with a focus on centralization vs. decentralization and incentive problems. By constructing a Stackelberg game model with n Ministries of Finance as the first movers and the European Central Bank as the second mover, we show that each government can create growth in its own country (self-benefit) by increasing government spending, but that this will increase inflation, resulting in a decrease in the value of the euro. As these effects are shared equally by eurozone countries (cost sharing), an incentive to free-ride at the expense of other countries is present. We then analyze a penalty-based solution to the free-rider problem and derive a second-best solution where a commitment not to renegotiate penalties ex-post is impossible. The optimal solution shows that “limited sovereignty,” that is, substantially constrained fiscal sovereignty, should be imposed as a high marginal cost for the issuance of public debt. Finally, we close the paper by discussing the possibility of Fiscal Integration (Fiscal Union).
Early identification of high-risk credit card customers based on behavioral data

Credit card banking has for a long time been one of the most profitable types of banking. The largest cost for credit card companies is customers not paying their debt. Consequently, to accurately model the risk a customer poses can provide large savings for credit card companies. This thesis aims to determine if it is possible to identify high risk credit card customers within the first months of the customer relationship. Using a credit card dataset consisting of customers’ first 18 months of data from between January 2013 and April 2017, machine learning methods are used to develop classifiers that try to predict future delinquency. Where previous work has incorporated many months of data to predict delinquency, we use only data from the first and second month of the customer relationship to do the same. Through a number of experiments, several models are developed. In addition to predicting delinquency, the models are used to analyze behavior driving delinquency and to model credit risk. We find that the models can not accurately identify high risk customers based on only a few months of data. The models developed reveal that the factors driving delinquency are mostly intuitive. Using the developed models to predict the probability of delinquencies, we find a strong correlation between the predicted probabilities and realized frequencies of delinquency.
The Role of Hedged Futures in Managerial Incentive Contracts

Constructing from Holmstrom's (1979) framework and following linear-exponential-normal (LEN) formulation, we design an incentive contract involving ”hedged futures” to solve the agency cost problem. The main results show that when the manager's action can be perfectly inferred, the stockholder can simply pay a fixed payment or elaborately design an achievable risk-free incentive contract, and both contracts can effectively achieve the optimal risk sharing. On the other hand, when the manager's action cannot be perfectly inferred, the optimal contract trades off benefits from providing incentives with the cost of imposing risk on a risk-averse manager. Further, the higher the optimal level of manager's effort to motivate, the fewer the optimal hedge ratio required to induce the manager to work harder, ceteris paribus. Besides, consistent with the analysis of Holmstrom (1979), the second-beat action is strictly lesser than the first-best action if the stockholder does not ”sell” the whole share to the manager. Also, the results of comparative analysis indicate that when the marginal rate of return increases, the stockholder will provide more incentive to induce the manager to work harder and the optimal level of manager's effort will rise as well. When the manager is more risk-averse or faces more uncertainty, the stockholder needs to reduce the risk in the compensation contract, such as increasing the hedge ratio, and the optimal level of manager's effort will decrease as well.
Reviewing the Development of Self- Concept: Implications for an Enhanced Model

According to the multiple self-aspects framework, self-concept structure is highly influenced by overlap between self-aspects, and affective spillover may occur when affective reactions to feedback in one domain affect the highly overlapping self-aspects. We review the literature on this framework focusing on developmental implications, and present evidence that trait and emotion information is organized into a self-concept structure at an early age. Further, we propose ways in which examining self-concept contents and structure may inform our understanding of children’s motivation and emotion regulation, the organization of self-aspects across development, and the refinement of models of the emergence and development of self-views.
THE EFFECTS OF SWINGS IN GLOBAL WHEAT PRICES ON THE DOMESTIC MARKETS IN AFGHANISTAN

The recent shocks in global prices of cereals and the spillover effects of trade restrictive policies adversely affected domestic markets, particularly in the net food importing countries such as Afghanistan. This paper investigates the effects of 2007–2008 spikes in global wheat prices on the dynamics of price transmission and long-run equilibrium relationship between global and domestic wheat markets. The findings indicate that domestic and global wheat markets may be cointegrated in Regime-I (pre-break), Regime-II (post-break) and the overall sample period. Moreover, the elasticity of price transmission and speed of adjustment towards the long-run equilibrium are substantially different between the two regimes, i.e., they appear to be larger in Regime-I as compared to Regime-II. Similarly, the effect of a shock in global wheat prices on domestic wheat markets might be long-lasting in Regime-I but transitory in Regime-II. This research underlines the need for mitigating the adverse effect of spikes in global wheat prices on domestic wheat markets in the context of a landlocked net food importing country.
A Symbolic Time-series Data Mining Framework for Analyzing Load Profiles of Electricity Consumption

能源在永續發展工業已被視為重要的管理資產，因此，如何減少能源消耗並有效率地追蹤及管理能源為重要的挑戰。 本研究基於電力負載追蹤電力消耗狀況提出符號化時間序列電力資料探勘架構，首先，研究應用分段聚合近似法（piecewise aggregate approximation, PAA）進行時間序列降維處理，接著採用符號聚合近似演算法（symbolic aggregate approximation, SAX）將降維後序列進行符號化，並改良SAX演算法的時間序列下限制（lower-bounding）距離衡量計算公式。 研究以鋼鐵鍛造公司的大型退火爐為例進行方法驗證，實驗結果顯示採用PAA法較傳統的固定端點取法較能預測機器狀況；另一實驗結果顯示改良SAX之下限制距離公式能更準確地計算負載曲線之間的相似度。 本研究所提出之架構與方法將有助於工廠進行後續正異常電力樣式預測。
Engineering Approach to Calculating QoS of Server with Self-Similar Incoming Traffic Based on Recursive Scalable Poisson Model

To date the prospects for using the accumulated over many years mathematical and software for the modeling of telecommunications with the Poisson input flow are under a big question. The matter is that a new fractal queuing theory is already on the threshhold. This article formulates and solves the problem of application of a queuing system model with a Poisson incoming flow for the purposes of server modeling described by QS with self-similar incoming traffic of the "fractal Brownian motion" type (according to Norros). Based on the results of the morphological analysis, the Norros model was decomposed into Poisson components connected by a scalable recurrence scheme. The variance of the number of packets in the server, raised to the power determined by the Hurst parameter acts as the similarity coefficient of fractal and Poisson QSs. The method for rescaling Poisson solutions into fractal solutions was constructed on the basis of the similarity coefficient. According to this method in order to find the fractal delay of access, the Poisson delay should be multiplied by the similarity coefficient, and to estimate the probability of packet loss, it is necessary to extract a root of degree equal to the similarity coefficient from classical exponential losses. The scope of the re-scaling method focuses on the pre-project stages of creating telecommunications, where there is no need for high accuracy of simulation results.
CFD Analysis of Laminar Natural Convection from a Horizontal Circular Cylinder to its Concentric Elliptic Enclosure

In the present paper, using a two-dimensional numerical simulation, the heat transfer from a hot circular cylinder to a cold vertical elliptic enclosure has been studied parametrically. The effect of ratio of cylinder radius to the half minor axis length of vertical elliptic enclosure ( ⁄ ) on the rate of the heat transfer has been investigated for the Rayleigh number and . Governing equations have been solved using the finite volume method and TDMA in an ADI procedure. Results show that the patterns of streamlines, isotherms and the Nusselt number values depend strongly on Rayleigh number and ratio of ⁄ . Furthermore, it is observed that by increasing the Rayleigh number and the ratio of , the heat transfer rate is increased. For instance, when the ⁄ value is changed from 0.2 to 0.6 at , the Nusselt number is increased about 55 percent of its initial value. Also when the Raleigh number is risen from to at ⁄ , the Nusselt number is climbed almost 65 percent of its initial value.
Factors associated with performance in the Mini Mental State Examination: a cross-sectional study

Aim: to identify the factors associated with performance in the Mini Mental State Examination (MMSE) on the part of the elderly attending a specialized outpatient clinic. Method: a cross-sectional study involving a convenience sample, comprising 216 elderly people waiting for consultation at a specialized outpatient clinic, from March to June 2015, with the application of a structured instrument and the MMSE. For analysis purposes, the study made use of Stata version 12 software, and results were considered statistically significant when p<0.05. Results: subjects who were female (54%), married (44%), who lived with their spouse (41%) and had low educational level (70%) characteristics predominated. We identified a significant association between MMSE performance and gender (p=0.001), education (p=0.001), income (p=0.001), home companions (p=0.002) and individual monthly income (p=0.001). Conclusion: early identification of cognitive decline and associated factors enables prevention and/or treatment strategies to be implemented by health professionals, especially nurses.
Control Systems in the Presence of Actuators or Sensors Degradation

In this paper, we design controller that combines an observer and a control to handle systems subject to actuator or sensor degradation (including complete failure). The observer contains a pre-filter, an adaptive law, and a modified Luenberger observer that achieves estimation of system state and estimation of conditions of actuator or sensor. We have shown that if a set of differential Riccati inequatities (DRI) is satisfied then the system can be stabilized under actuator degradation. While in sensor degradation case if an Algebraci Riccati inequality (ARI) and a DRI are satisfied then the system is stabilized.
Resampling to Speed Up Consolidation of Point Clouds

Processing of large-scale scattered point clouds has currently become a hot topic in the field of computer graphics research. A supposedly valid tool in producing a set of denoised, outlier-free, and evenly distributed particles over the original point clouds, Weighted Locally Optimal Projection (WLOP) algorithm, has been used in the consolidation of unorganized 3D point clouds by many researchers. However, the algorithm is considered relatively ineffective, due to the large amount of the point clouds data and the iteration calculation. In this paper, a resampling method applied to the point set of 3D model, which significantly improves the computing speed of the WLOP algorithm. In order to measure the impact of error, which will increase with the improvement of calculation efficiency, on the accuracy of the algorithm, we define two quantitative indicators, that is, the projection error and uniformity of distribution. The performance of our method will be evaluated by using both quantitative and qualitative analyses. Our experimental validation demonstrates that this method greatly improves calculating efficiency, notwithstanding the slightly reduced projection accuracy in comparison to WLOP.
Investigation of a Conductivity Logging Tool Based on Single Coil Impedance Measurement Using FDTD Method

Eddy current test has been widely used in many fields because of its simplicity and robustness. In this paper, numerical simulations based on the finite-difference time-domain method were carried out to validate if the eddy current coil can effectively be used in the logging while drilling system. The simulation results showed that the impedance of the eddy current coil is a function of conductivity of the surrounding media. The formation conductivity is strongly dependent on the concentration of hydrocarbons, so different formation layers can be distinguished by measuring coil impedance. Different source frequencies were applied, and it was found that this method works well in frequency range from 100 MHz to 1 GHz. The investigation depth was studied in this paper, and a 3-layer formation model was simulated in this paper. The results showed that this novel method could be effectively used in a well logging system.
The Impact of the “Internet of Things” On Value Creation for Stakeholders

This study focuses on identifying the factors that influence the adoption of the internet of things that create value for stakeholders. The key factors identified as visibility, security, organization and data management. A survey of various industry participants in America, Asia Pacific/Australia, Europe and Middle East/Africa was performed to check the influence of the above factors in value creation and adoption of the internet of things. ADANCO 2.0 software (PLS-SEM) tool was used to analyse the surveyed data and to construct a structural equation model. The results of the study show that visibility, security, organization and data management create value for stakeholders in the form of business intelligence, integrity and trust, fair and equitable sharing of benefits among negotiating protocols and enhancement of productivity. Study influences the adoption of the internet of things from the point of value creation. This will enhance the competitive edge of businesses and will help in retaining existing customers and in the creation of new customers. As more enterprises adopt the internet of things, there is a scope for research on user experience of the internet of things.
Route to supersolidity for the extended Bose-Hubbard model

We use the Gutzwiller ansatz and analyze the phase diagram of the extended Bose-Hubbard Hamiltonian with on-site (U) and nearest-neighbor (V) repulsions. For d-dimensional hypercubic lattices, when 2dV U, in this Rapid Communication, we show that the ground state has only CDW insulators, and more importantly, the SS phase occupies a much larger region in the phase diagram, existing up to very large hopping values which could be orders of magnitude higher than that of the well-known case. In particular, the SS-superfluid phase boundary increases linearly as a function of hopping when 2dV > or approx. 1.5U, for which the prospects of observing the SS phase with dipolar Bose gases loaded into optical lattices is much higher.
The Influence of Assimilated Upstream, Preconvective Dropsonde Observations on Ensemble Forecasts of Convection Initiation during the Mesoscale Predictability Experiment

AbstractThis study tests the hypothesis that assimilating mid- to upper-tropospheric, meso-α- to synoptic-scale observations collected in upstream, preconvective environments is insufficient to improve short-range ensemble convection initiation (CI) forecast skill over the set of cases considered by the 2013 Mesoscale Predictability Experiment (MPEX) because of a limited influence upon the lower-tropospheric phenomena that modulate CI occurrence, timing, and location. The ensemble Kalman filter implementation within the Data Assimilation Research Testbed as coupled to the Advanced Research Weather Research and Forecasting (WRF) Model is used to initialize two nearly identical 30-member ensembles of short-range forecasts for each case: one initial condition set that incorporates MPEX dropsonde observations and one that excludes these observations. All forecasts for a given mission begin at 1500 UTC and are integrated for 15 h on a convection-permitting grid encompassing much of the conterminous United Stat.