Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental investigation of self heating effect (SHE) in multiple-fin SOI FinFETs

In this work, the self-heating effect (SHE) on metal gate multiple-fin SOI FinFETs is studied by adopting the ac conductance technique to extract the thermal resistance and temperature rise in both n-channel and p-channel SOI FinFETs with various geometry parameters. It is shown that the SHE degrades by over 10% of the saturation output current in the n-channel and by over 7% in the p-channel. The extracted thermal resistances Rth increase with the scaled down gate length, reducing the number of fin and shrinking the fin width. The temperature rise caused by the SHE increases with the scaled down gate length, increasing the number of fin and shrinking the fin width under the saturated operation condition. Additionally, due to a larger power density in the n-channel SOI FinFETs under the same bias condition, the temperature in the n-channel FinFETs is higher than that in the p-channel FinFETs. Because the Si thermal conductivity decreases as the temperature increases, Rth is larger in the n-channel FinFETs than in the p-channel FinFETs. Therefore, tradeoffs have to be made between the thermal properties and the device’s electrical performance by careful design optimizations of SOI FinFETs.
Work domain analysis and sensors I: principles and simple example

In this paper we establish a foundation for understanding the instrumentation needs of complex dynamic systems if ecological interface design (EID)-based interfaces are to be robust in the face of instrumentation failures. EID-based interfaces often include configural displays which reveal the higher-order properties of complex systems. However, concerns have been expressed that such displays might be misleading when instrumentation is unreliable or unavailable. Rasmussen's abstraction hierarchy (AH) formalism can be extended to include representations of sensors near the functions or properties about which they provide information, resulting in what we call a "sensor-annotated abstraction hierarchy". Sensor-annotated AHs help the analyst determine the impact of different instrumentation engineering policies on higher-order system information by showing how the data provided from individual sensors propagates within and across levels of abstraction in the AH. The use of sensor-annotated AHs with a configural display is illustrated with a simple water reservoir example. We argue that if EID is to be effectively employed in the design of interfaces for complex systems, then the information needs of the human operator need to be considered at the earliest stages of system development while instrumentation requirements are being formulated. In this way, Rasmussen's AH promotes a formative approach to instrumentation engineering.
An HPC component for parallel, heterogeneous, and dynamic unstructured meshes

Multi-physics HPC applications with mixed discretization schemes, adaptive unstructured meshes, and parallel distributed data sets have inherent complexity that must be managed. Design concepts embedded in the mesh data structures will either segregate complexity from, or compound complexity throughout, such applications. A recent research effort at Sandia National Laboratories is focusing on performance modeling and analysis of these complex applications. For this effort portable compact mini-applications (a.k.a. "dwarf" applications) are being developed to approximate the performance of corresponding "real" applications. For one of these mini-applications a new, fully functional, component has been developed for parallel, heterogeneous, and dynamic unstructured meshes (phdMesh). This component will be made available at software.sandia. gov. A decade of experience with a variety of target applications has led to the concise concepts, object oriented design, and minimalistic application programmer interface (API) of the phdMesh component.
Scholarly Paper CubeExplore: An Evaluation of Interaction Techniques in Architectural Education 1

During the early stages of architectural training, tangibility plays an important role in developing spatial awareness. In such contexts, tangible user interfaces are believed to provide a significant advantage as they combine the affordances of both the physical and the digital world. We introduce CubeExplorer, a hybrid 3D conceptual aid that combines physical interaction and digital modeling in an effort to complement conventional architectural space-training tools (such as physical materials and digital CAD programs). Using a digital pen as an input mechanism, CubeExplorer lets users perform subtractive 3D geometric operations on a simple paper based cube model while observing the resulting model on a display. The tangibility of the model simplifies navigation and command execution, while the digital interface makes it easy for users to explore multiple alternative designs. To evaluate the potential of such an approach, we conducted a user study in a normal classroom environment where students were provided with physical (wooden block), hybrid (CubeExplorer), and virtual (FormZ) interfaces to complete the same assignment. Our evaluation showed that CubeExplorer combined the advantages of both digital and tangible media. The advantages of CubeExplorer over digital media were substantiated in a follow-up study comparing CubeExplorer and SketchUp in a similar building task.
Extensive Characterization and Comparison of Endothelial Cells Derived from Dermis and Adipose Tissue: Potential Use in Tissue Engineering

Tissue-engineered constructs need to become quickly vascularized in order to ensure graft take. One way of achieving this is to incorporate endothelial cells (EC) into the construct. The adipose tissue stromal vascular fraction (adipose-SVF) might provide an alternative source for endothelial cells as adipose tissue can easily be obtained by liposuction. Since adipose-EC are now gaining more interest in tissue engineering, we aimed to extensively characterize endothelial cells from adipose tissue (adipose-EC) and compare them with endothelial cells from dermis (dermal-EC). The amount of endothelial cells before purification varied between 4–16% of the total stromal population. After MACS selection for CD31 positive cells, a >99% pure population of endothelial cells was obtained within two weeks of culture. Adipose- and dermal-EC expressed the typical endothelial markers PECAM-1, ICAM-1, Endoglin, VE-cadherin and VEGFR2 to a similar extent, with 80–99% of the cell population staining positive. With the exception of CXCR4, which was expressed on 29% of endothelial cells, all other chemokine receptors (CXCR1, 2, 3, and CCR2) were expressed on less than 5% of the endothelial cell populations. Adipose-EC proliferated similar to dermal-EC, but responded less to the mitogens bFGF and VEGF. A similar migration rate was found for both adipose-EC and dermal-EC in response to bFGF. Sprouting of adipose-EC and dermal-EC was induced by bFGF and VEGF in a 3D fibrin matrix. After stimulation of adipose-EC and dermal-EC with TNF-α an increased secretion was seen for PDGF-BB, but not uPA, PAI-1 or Angiopoietin-2. Furthermore, secretion of cytokines and chemokines (IL-6, CCL2, CCL5, CCL20, CXCL1, CXCL8 and CXCL10) was also upregulated by both adipose- and dermal-EC. The similar characteristics of adipose-EC compared to their dermal-derived counterpart make them particularly interesting for skin tissue engineering. In conclusion, we show here that adipose tissue provides for an excellent source of endothelial cells for tissue engineering purposes, since they are readily available, and easily isolated and amplified.
Pre-mapping Algorithm for Heterogeneous MPSoCs

A Multiprocessor System-on-Chip (MPSoC) composed of different types of processors is known as heterogeneous MPSoC. This kind of MPSoC based on Network-on-Chip (NoC) is a promising target architecture to fulfill requirements of high processing and communicating rate, enabling the execution of several tasks at the same time. Among the challenges in current heterogeneous MPSoC design is the partitioning of application tasks aiming for the energy saving and for a fair load balance. This work's contribution is twofold: (i) a partitioning algorithm is developed, and (ii) the evaluation of using partitioning as a pre-mapping task is explored. This work analyzes and compares stochastic and new heuristic partitioning algorithms for obtaining low energy consumption and for load balance when applied to tasks partitioning onto heterogeneous MPSoC. In addition, simulated results indicate that the static partitioning technique could be applied to application tasks before mapping activities in order to improve the quality of the static or dynamic mapping design and also to minimize the processing time.
Price and Non Price Factors in Input Use and Output Supply A Case of Gram in Uttar Pradesh

An attempt is made to compare the response of gram growers in Uttar Pradesh to input and output prices and fixed factors crucial to production, in the translog profit function framework. Normalised restricted profit is expressed as a function of variable input prices and quantities of fixed factors like deviation of rainfall from normal and expenditure on irrigation. Computed elasticities show that fixed factors are more important in cultivation of gram than prices of inputs and price of output. The policy implication is that, an increase in gram price and reduction in fertilizer price will not improve gram production.
Team-Based Professional Development: An Emphasis on Collaboration and Cooperation

Rumblings of discontent frequent campuses of higher education when the mention of faculty evaluation occurs. In fact, a 1997 study published by the Richardson Foundation found that only 30% to 35% of provosts and deans are happy with the university evaluation system and less than 20% of the faculty are supportive of these systems. This article chronicles the journey taken by four departments at a Midwestern university in an attempt to shift focus from a rank and sorting system of evaluation, so prevalent in colleges and universities today, to a professional development model.
Real time spline curves from interactively sketched data

Hand-sketching is a particularly attractive solution to providing an intuitive design interface for modeling. The goal is to reduce the data collected from the input strokes and to construct a curve that faithfully represents the sketched data. This paper presents a new approach to interactive realtime handsketching in two or three dimensions and is-based on the new approach to general spline datafitting presented in [10,8,9]. The goal of our approach is to obtain approximating curves with reasonable accuracy at real-time interactive speeds, and at the same time significantly reduce in the number of coefficients for the curve representation over the original data representation. The approach taken here to obtain realtime interaction is to reduce the data incrementally using new local algorithms while the data is still being sketched.
Initial conditions for disc galaxies

We present a general recipe for constructing N-body realizations of galaxies comprising near spherical and disc components. First, an exact spherical distribution function for the spheroids (halo and bulge) is determined, such that it is in equilibrium with the gravitational monopole of the disc components. Second, an N-body realization of this model is adapted to the full disc potential by growing the latter adiabatically from its monopole. Finally, the disc is sampled with particles drawn from an appropriate distribution function, avoiding local-Maxwellian approximations. We performed test simulations and find that the halo and bulge radial density profile very closely match their target model, while they become slightly oblate due to the added disc gravity. Our findings suggest that vertical thickening of the initially thin disc is caused predominantly by spiral and bar instabilities, which also result in a radial re-distribution of matter, rather than scattering off interloping massive halo particles.
Design of multimedia matching service using manycores and GPGPU

Nowadays, many users are spending their time with enjoying multimedia, and this trend spreads rapidly according to the propagation of smartphones. Multimedia services have tried to attach tag for information of merchandizes related to multimedia, so the multimedia consumers can get detail of those merchandizes, such as price or purchasing information, using attached tag. However, multimedia provider can provide only limited tags while they even cannot support real-time video. In this situation, Multimedia Matching as a Service (MaaS) system is conceptually suggested to let the consumers find items as their preference on real-time video. This system extracts images from video stream, and finds various objects from those images. Since the MaaS system needs a lot of computation power, it should utilize the cloud service which is the recent trend in the computing industry. Due to the circumstance, an efficient internal design for MaaS is required to reduce the cost of using cloud service itself. For the purpose, in this paper, two designs for MaaS system is introduced which are based on manycore system and GPGPU system respectively. One thread per one image method is used for manycore system, and hundreds of cores per one image method is adapted for GPGPU system. Using the intensive experiments, we prove that our design is appropriate for each system. More on that, we compare two designs to obtain the intuition for real system adaption.
Convergence of Rescaled Competing Species Processes to a Class of SPDEs

One can construct a sequence of rescaled perturbations of voter processes in dimension $d=1$ whose approximate densities are tight. By combining both long-range models and fixed kernel models in the perturbations and considering the critical long-range case, results of Cox and Perkins (2005) are refined. As a special case we are able to consider rescaled Lotka-Volterra models with long-range dispersal and short-range competition. In the case of long-range interactions only, the approximate densities converge to continuous space time densities which solve a class of SPDEs (stochastic partial differential equations), namely the heat equation with a class of drifts, driven by Fisher-Wright noise. If the initial condition of the limiting SPDE is integrable, weak uniqueness of the limits follows. The results obtained extend the results of Mueller and Tribe (1995) for the voter model by including perturbations. In particular, spatial versions of the Lotka-Volterra model as introduced in Neuhauser and Pacala (1999) are covered for parameters approaching one. Their model incorporates a fecundity parameter and models both intra- and interspecific competition.
The Pricing Coordination of Manufacturers Based on Logistics Outsourcing

The static cooperation model between two manufacturers and a Third-party Logistics (3PLs) provider is represented in this paper. Under 3PLs provider’s restriction on service prices, manufacturers decide wholesale prices and reclaiming prices in independent decisions scenario and joint decisions scenario respectively. Comparing with the profit of manufacturers and 3PLs provider, we establish a mechanisms: Coordinating with Discounts of Logistics Prices based on four assumptions and three partners’ abilities of negotiating. Finally, we illustrate our mechanism with a numerical example.
Vibrotactile waypoint navigation at sea and in the air : two case studies

In this paper we describe two case studies in which we tested a tactile torso display in a waypoint navigation task. The display consisted of eight vibrating elements in a belt around the operator. The case studies were both conducted in a vibrating working environment: a Gazelle helicopter and a high speed rigid inflatable boat. Both environments result in whole body vibrations that can disturb the perception of the vibratory signals on the display. The vibrotactile display indicated the direction to the next waypoint by a localised vibration in the horizontal plane around the operator, and the passage through the waypoint by a 1-second tap by all vibrating elements simultaneously. Both case studies show that the display is intuitive: without training, both operators directly reach high performance levels. Furthermore, the operators had no trouble in perceiving the tactile display despite the whole body vibrations. This indicates that this innovative display is ready to be implemented in real world settings.
House Committee Chairs: Considerations, Decisions, and Actions as One Congress Ends and a New Congress Begins

This report addresses some of the critical matters a House committee chair confronts from the time of the early organization meetings in November to approximately the spring district work-period in March or April. The report is divided into the following sections: Transition, Administrative Matters, Committee Organization, Committee Procedure and the Role of the Chair, Procedural Tools for Committee Chairs, Floor Consideration and the Role of the Chair, and Legislative Issues and Agenda.
An Optimized Monetary Policy Rule for ToTEM

The authors propose a monetary policy rule for the Terms-of-Trade Economic Model (ToTEM), the Bank of Canada's new projection and policy-analysis model for the Canadian economy. They consider simple instrument rules such as Taylor-type and inflation-forecast-based rules. The proposed rule minimizes a loss function that reflects the assumed preferences of the monetary authority over inflation and output, as well as over the variability of its instrument. The authors also investigate how robust the proposed rule is with respect to a particular realization of shocks that differs from the historical distribution used to find the optimized rule.
A Hybrid Support Vector Regression Based on Chaotic Particle Swarm Optimization Algorithm in Forecasting Financial Returns

Nowadays there are lots of novel forecasting approaches to improve the forecasting accuracy in the financial markets. Support Vector Machine (SVM) as a modern statistical tool has been successfully used to solve nonlinear regression and time series problem. Unlike most conventional neural network models which are based on the empirical risk minimization principle, SVM applies the structural risk minimization principle to minimize an upper bound of the generalization error rather than minimizing the training error. To build an effective SVM model, SVM parameters must be set carefully. This study proposes a novel approach, know as chaotic particle swarm optimization algorithm (CPSO) support vector regression(SVR), to predict financial returns. A numerical example is employed to compare the performance of the proposed model. Experiment results show that the proposed model outperforms the other approaches in forecasting financial returns.
TOWARDS SOCIAL AWARENESS IN UBIQUITOUS COMPUTING: A TURNTAKING APPROACH

Context-awareness of social interaction is difficult for computers that are denied the social learning process of humans. Consequently, there has been scepticism about the enterprise. Basing on a turntaking analysis of group invitations, a complex social phenomenon, this pessimistic view is refuted. Turntaking provides an operationalizable account of social interaction and adds to the context debate by highlighting the dynamic and constructive aspects of context. Turns (actions) are recognizable by present-day technologies, but their sequential structures must be “hard-wired” by social scientists, as must be the meanings of static factors (e.g., location). Six challenges for attempts to implement turntaking as a model of social awareness are discussed.
Cross Layer Integrated Approach for Secured Broker Selection in Public/Subscribe for Ad Hoc Networks

Mobile Ad-hoc Network (MANET) basically, consists of collection of mobile hosts incorporating wireless interfaces. These mobile nodes forms a transitory autonomous network and do not base on fixed infrastructure or central administration, rather they work on the principle of self-organized interconnections among mobile nodes. The idea at the core of the MANET technology is that while in movement when a node comes inside the transmission range of neighboring nodes', they can be detected by each other and can communicate directly. However for communication outside this range they have to depend on some other nodes to relay the messages. In fact, MANET' node rely on the resources and services from other participating nodes. And when these services are being offered by many, the choice of selecting whom to use, plays an important role in adhoc networks. Additionally, the dynamic and vulnerable nature of ad-hoc network itself presents many new security and privacy challenges. Above all, securing the process of service discovery is one of them. Although much previous research has concentrated on service discovery in MANETs, not much effort has been done on the security side of service selection. This paper emphasize that secure service selection in MANETs has an intense effect on network performance. Specifically, we stress that in adhoc network where all the participants are self controlled, security is an essential aspect and the effective service selection can improve network throughput.
Projection-Based Piecewise-Linear Response Surface Modeling for Strongly Nonlinear VLSI Performance Variations

Large-scale process fluctuations (particularly random device mismatches) at nanoscale technologies bring about high-dimensional strongly nonlinear performance variations that cannot be accurately captured by linear or quadratic response surface models. In this paper, we propose a novel projection-based piecewise linear modeling technique, P2M, to address such a modeling challenge with affordable computational cost. P2M borrows the projection pursuit idea from mathematics to convert a high-dimensional modeling problem to a low-dimensional one. In addition, a new piecewise-linear model template is proposed and tuned for strongly nonlinear performance variations. By exploiting the unique piecewise-linear nature of the model template, a robust numerical algorithm is further developed to determine all model coefficients by solving a sequence of over-determined linear equations. Several circuit examples designed in a commercial 65 nm CMOS process demonstrate that compared with the traditional quadratic modeling, P2M achieves 2x error reduction with negligible computational overhead.
Design of a corrugated microstrip patch antenna with modified ground plane

In this paper, a novel design of a corrugated microstrip antenna with wideband characteristics is proposed. The suggested antenna consists of an arc-shaped edge and a ground plane which has been modified. The difference from the other traditional antennas is in the modification of the ground plane. The corrugated ground plane is present below the feed line and partially present just below the radiating element. By cutting square shaped slots on the arc side at regular intervals improves the frequency bandwidth. With this design the return loss curve was found to be below -10dB with frequency range of 2.6-17.7GHz and a radiation pattern just like a horizontal dipole antenna.