Miracle-dz/UniFAR-FTUs huggingface dataset:
Inverse shape optimization using dynamically adjustable genetic algorithms [electric machine design]

In this paper, a new dynamically adjustable genetic algorithm for inverse shape optimization of electrical devices is proposed. The algorithm starts with initial population which is not entirely randomly defined and dynamically changes the position and the width of the searching space as the searching procedure evolves with time and the objective function approaches its optimum. The proposed algorithm is successfully applied for inverse shape optimization of a die mold press machine and for pole shape optimization of a rotating machine. To achieve a smooth pole face, the optimized shape is defined using several control points and ordinary spline functions.
The Effect of Technology and Trade on Wage Differentials between Nonproduction and Production Workers in Canadian Manufacturing

The 1980s and 1990s have seen a rising share of skilled labour in total employment in the manufacturing sector of Canada. At the same time, the wage premium for skilled workers has increased, thereby increasing the inequality between skilled and unskilled workers. There is a disagreement about the causes of these changes. Several hypotheses have been offered to explain them-increased international competition, changes in the relative supply of more-skilled versus less-skilled workers, and skilled-augmenting technological change. This paper analyzes the nature, pattern and causes of the shifts in the composition of employment in manufacturing. The paper describes the composition of employment in manufacturing. It focuses on the direction and magnitude of shifts in the proportion of nonproduction workers employed within manufacturing and across sectors within manufacturing. It also investigates the extent to which wage differentials between nonproduction and production workers have widened in the 1980s. In addition, it assesses the extent to which these changes are associated with trade and technology use. The results indicate that the rising wage differentials are associated with both increased trade intensity and the types of technologies that are being used in the plant.
The Generalized Subgraph Problem : Valid inequalities and separation

This paper is concerned with a problem on networks which we call the Generalized Subgraph Problem (GSP). The GSP is defined on an undirected graph where the vertex set is partitioned into clusters. The task is to find a subgraph which touches at most one vertex in each cluster so as to maximize the sum of vertex and edge weights. The GSP, which is strongly NP-hard, is a natural relaxation of several important problems of a ‘generalized’ type. In this paper, we examine the GSP from a polyhedral viewpoint. We examine two 0-1 integer programming formulations and derive classes of valid and facet-inducing inequalities. We also give complete linear descriptions for some special cases. Finally, we give some results concerning the separation of these inequalities.
Robotic Hand-Eye Calibration Based on Active Vision

Method of robotic hand-eye calibration based on active vision is presented in this paper. Firstly the calibration method of the hand-eye relations rotation matrix is analyzed. The world coordinates of feature points on the workpiece platform are obtained by laser pointer, that is mounted on the mechanical arm. Then we can calibrate the hand-eye relations translation vector. Through the calibrated hand-eye relations, we can calculate the distances between four feature points in the image, and compare the error with the actual values. Experimental results show that the measurement error range of the lengths between the feature points is ±0.8 mm. Therefore, the hand-eye calibration precision is high, and it can meet the requirements of workpiece positioning and automatic grabbing for robot.
Induction And Deduction As Entry Points Into Qualitative Data Analysis: How Can Early Analytical Choices Affect The Theorizing Process?

Our conventional understanding of the relationship between research paradigms, methods and data analysis in qualitative research suggests that we first hold a worldview (paradigm), which guides our selection of method, which in turn dictates whether we start analyzing data deductively or inductively. However, it is also possible to understand this relationship as flowing in the opposite direction, and thus infer the paradigmatic beliefs of a researcher based on the data analyses he or she produces. In this paper, I compare two analyses I did to the same set of interview data – one started inductively, the other one deductively –, and from there I draw conclusions about the ontological and epistemological beliefs underpinning the two analyses, as well as my own. Similar exercises can help anyone faced with the ill-structured problem of making research design choices, and implicitly urged to fit into a single research paradigm.
The Cactus UseT Architecture : an Overview of Relevant Aspects

Introduction This document discusses techniques and methods that are important for the definition of the architecture for the UseT work package in the Cactus Impulse project [Lagendijk02]. We hope that the contents suffice to enable other UseT participants to understand and participate in architecture discussions. Numerous areas are important for UseT: personal call assistant systems, electronic assistants, language technology, context awareness, intelligent agents, action planning, trust, consistency and security. In this report we restrict ourselves to the sensing part of the i-DEA, and exclude issues within the i-DEA itself and the actions that the i-DEA can take. It will take another report to elaborate on issues inside the iDEA.
A New Non-Trial-and-Error Method for Lag-Lead Compensator Design : A Special Case

Based on the idea of Yeung-Wong-Chen’s graphic-based non-trial-and-error method for three-parameter lag-lead compensator design and Wang’s recent result on the exact and unique solution for single lag and lead compensator design, a new non-trial-and-error procedure is developed. The new approach is analytical and can be carried out by computer programs without manual graphical manipulations, thus provides the basis for more sophisticated design and performance analysis. Results obtained in this paper can be used to simplify and enhance current teaching and industrial practices for lag-lead compensator design in control and communication systems. Index Terms — Lag-lead compensator, compensator design, control systems, trial-and-error method, analytic solution.
Supply response of Indian farmers: Pre and post reforms

Supply response to price changes is likely to increase with the increasing liberalization of the agricultural sector. Past studies revealed weak supply response for Indian agriculture. There are no recent reliable estimates to see if the response has improved after the economic reforms introduced in early 90s in India. This study estimates supply response for major crops during pre and post reform periods using Nerlovian adjustment cum adaptive expectation model. Estimation is based on dynamic panel data approach with pooled cross section - time series data across states for India. The standard procedure is to use area as an indicator of supply due to the reason that area decision is totally under the control of farmers. Moreover using supply conceals some variations in area and yield if they move in the opposite directions. In this paper, it is hypothesized that acreage response underestimates supply response and farmers respond to price incentives partly through intensive application of other inputs given the same area, which is reflected in yield. Acreage and yield response functions were estimated and the supply response estimates were derived from these two responses. The significant feature of the specification used in the study is both main and substitutable crops are jointly estimated by a single equation by introducing varying slope coefficients to capture different responses. As expected, foodgrains reveal less response than non-foodgrains. The study found no significant difference in supply elasticities between pre and post reform periods for majority of crops. It raises questions such as whether the constraints are properly identified by the policies or if the impact of reform is yet to be felt in order to make a prominent impact on response parameters. In this study, infrastructural variables other than irrigation could not be introduced due to lack of information for a long time series. Results confirmed that farmers respond to price incentives equally by more intensive application of non-land inputs. Further analysis of the reasons for little impact of reforms on the responses is awaited.
The dynamical evolution of stellar superclusters

Recent images taken with the Hubble Space Telescope (HST) of the interacting disc galaxies NGC 4038/4039 (the Antennae) reveal clusters of many dozens and possibly hundreds of young compact massive star clusters within projected regions spanning about 100 to 500 pc. It is shown here that a large fraction of the individual star clusters merge within a few tens to a hundred Myr. Bound stellar systems with radii of a few hundred parsecs, masses ≲ 109 M⊙ and relaxation times of 1011 − 1012 yr may form from these. These spheroidal dwarf galaxies contain old stars from the pre-merger galaxy and much younger stars formed in the massive star clusters, and possibly from later gas accretion events. The possibility that star formation in the outer regions of gas-rich tidal tails may also lead to superclusters is raised. The mass-to-light ratio of these objects is small, because they contain an insignificant amount of dark matter. After many hundred Myr such systems may resemble dwarf spheroidal satellite galaxies with large apparent mass-to-light ratios, if tidal shaping is important.
Optimal Column Subset Selection by A-Star Search

Approximating a matrix by a small subset of its columns is a known problem in numerical linear algebra. Algorithms that address this problem have been used in areas which include, among others, sparse approximation, unsupervised feature selection, data mining, and knowledge representation. Such algorithms were investigated since the 1960's, with recent results that use randomization. The problem is believed to be NP-Hard, and to the best of our knowledge there are no previously published algorithms aimed at computing optimal solutions. We show how to model the problem as a graph search, and propose a heuristic based on eigenvalues of related matrices. Applying the A* search strategy with this heuristic is guaranteed to find the optimal solution. Experimental results on common datasets show that the proposed algorithm can effectively select columns from moderate size matrices, typically improving by orders of magnitude the run time of exhaustive search. We also show how to combine the proposed algorithm with other non-optimal (but much faster) algorithms in a ``two stage'' framework, which is guaranteed to improve the accuracy of the other algorithms.
Engineered therapeutic antibodies with enhanced effector functions: Clinical application of the Potelligent® Technology

With more than 30 therapeutic antibodies approved worldwide, therapeutic antibodies have become a major category in the pharmaceutical market. In an effort to further expand the potential of therapeutic antibodies, several approaches are being employed, such as improving the effector functions of the antibodies, designing antibody-drug conjugates, and downsizing the antibody molecule. Among these approaches, enhancing antibody-dependent cellular cytotoxicity (ADCC), which is the major effector function of an antibody, is thought to be one of the most promising and practical approaches to make an antibody more efficacious. In this "Perspective", we have provided an overview of such ADCC-enhancing technologies, while focusing mainly on our Potelligent® Technology, which has been most extensively tested in clinical trials.
Japanese Yen and East-Asia Currencies: Before and After the Asian Financial Crisis

The purpose of this paper is to investigate whether the impact of the Japanese yen on the values of East Asian currencies has increased since the 1997 East Asian financial crisis. In particular, this paper focuses on four crisis-affected countries: Indonesia, the Republic of Korea, the Philippines and Thailand. To this end, this paper estimates the weights of the Japanese yen in the determination of the values of the East Asian currencies using daily exchange rate data sets covering the pre-crisis period from January 1990 to June 1997 and the post-crisis period from January 1999 to December 2000. Empirical test results indicate that the impact of the Japanese yen on East Asian currencies has increased since the 1997 financial crisis. The null hypothesis that the weight of the Japanese yen remains the same is rejected for all the four countries examined supporting the alternative that it has increased since the financial crisis.
Searching for activations that generalize over tasks

Nine previous positron emission tomography (PET) studies of human visual information processing were reanalyzed to determine the consistency of blood flow changes during a wide variety of active tasks relative to passive viewing of the same stimulus array. Consistent modulations were found in the early visual cortex, probably including area 17, and these modulations could reflect selective mechanisms. Blood flow decreases were found in some auditory and somatosensory areas, but did not appear to reflect a broad suppression of subcortical input. Outside the sensory cortex, consistent increases across experiments were found in the thalamus and cerebellum, but not in the cerebral cortex. Many cortical areas, however, did show consistent decreases. Hum. Brain Mapping 5:317–322, 1997. © 1997 Wiley‐Liss, Inc.
Improvements on IP Header Compression

Due to bandwidth constraints on the wireless link in an IP network, it is useful to compress the headers so as to maximize the utilization of the link. Different Header Compression schemes have been proposed. Some make use of the similarity in consecutive headers in a packet flow to compress these headers. These are called here time compression, as they acquire the compression information over the time length of a flow. Another scheme introduced recently makes use of the similarity in consecutive flows from or to a given mobile terminal to compress these headers. This we call a space compression, as it uses information about the distribution of flows over the destination address space. We present here a comparison of these two classes of header compression algorithm -time and spaceand of a third one that combines them. The combined algorithm significantly outperforms traditional header compression algorithm. We evaluate the compression scheme with respect to actual internet data traces.
Differential Modulation of SERCA2 Isoforms by Calreticulin

In Xenopus laevis oocytes, overexpression of calreticulin suppresses inositol 1,4,5-trisphosphate-induced Ca2+ oscillations in a manner consistent with inhibition of Ca2+ uptake into the endoplasmic reticulum. Here we report that the alternatively spliced isoforms of the sarcoendoplasmic reticulum Ca2+-ATPase (SERCA)2 gene display differential Ca2+ wave properties and sensitivity to modulation by calreticulin. We demonstrate by glucosidase inhibition and site-directed mutagenesis that a putative glycosylated residue (N1036) in SERCA2b is critical in determining both the selective targeting of calreticulin to SERCA2b and isoform functional differences. Calreticulin belongs to a novel class of lectin ER chaperones that modulate immature protein folding. In addition to this role, we suggest that these chaperones dynamically modulate the conformation of mature glycoproteins, thereby affecting their function.
Liquidity Crises and Corporate Cash Holdings in Chile

This paper addresses the way optimal cash holdings decisions may be affected in episodes of adverse liquidity shocks. Motivated by the recent financial crisis, we are particularly interested in understanding how firm characteristics can explain differences in the adjustment speed to desired cash holdings, and how these characteristics determine whether a firm is more or less affected during a liquidity crisis. To address those issues, we use a large panel dataset with quarterly information of Chilean firms during the period 1996 through 2009. In line with some previous empirical evidence, our findings show that leverage, banking debt, liquid assets, size and volatility affect cash holdings. We also find that liquidity crises have had an overall negative and economically significant effect on the firms’ cash holdings and this effect varies across firm size. In addition, our results reveal other important component of heterogeneity across firms: we find that medium-sized firms are less capable of adjusting cash holdings than do small and large firms.
International Journal of Innovative Research in Computer and Communication Engineering a Survey on Feature Extraction Techniques

Data Mining (DM) technique is able to process the high volume of data. The data mining applications contain dataset with high dimensionality. Due to this high dimensionality, the performance of the machine learning algorithms get degraded and this problem is resolved using a technique called Dimensionality Reduction (DR). DR is an essential preprocessing technique in DM to reduce the high dimensionality. Feature Extraction is one of the important techniques in DR to extract the most important features. The goal of this survey is to provide a comprehensive review of various feature extraction approaches to improve the classification accuracy. This paper gives an over view of various feature extraction techniques which are used to the budding researchers.
Practical Augmented Visualization on Handheld Devices for Cultural Heritage

In this paper, we present a framework for the interactive 3D visualization of archaeological sites on handheld devices using fast augmented reality techniques. The user interface allows for the ubiquitous, personalized and context-aware browsing of complex digital contents, such like 3D models and videos. The framework is very general and entirely devised and built by the means of free, cross-platform components. We demonstrate the flexibility of our system in a real case scenario, namely the augmented visualization of a historically reliable model of the Ancient Forum of Nerva located in Rome, Italy.
Maximum power point tracking and sensorless control for permanent magnet generators tested on a wind turbine emulator

This paper presents a maximum power point tracking algorithm (MPPT) and sensorless control for permanent magnet generators associated with small scale wind turbines. The basis for the wind energy conversion is presented to model the wind turbine emulator test-rig and support the proposed MPPT algorithm. The maximum power point tracking algorithm is based on estimations of the load torque and shaft speed. The shaft speed and position are estimated with an extended Kalman filter. The load torque is estimated with a discrete time observer. A sliding mode controller in the rotor reference frame drives the generator in speed control mode. A minimum number of sensors is required for this implementation: one voltage sensor for the DC link and two current sensors for the phase currents. Experimental implementation on the wind emulator test-rig is given. The proposed estimators, sensorless controller and MPPT algorithm were shown to be well integrated and work properly. The sensorless controller was able to track a speed reference calculated by the MPPT algorithm and based on the speed and load torque estimations.
Information Production, Cash Flow and Corporate Investment

We use a simple information-based model of corporate investment to determine when investment will be sensitive to cash flow. The key cross-sectional prediction of the model is that investment-cash flow sensitivity will be stronger for firms with more informative stock prices, higher cash flow volatility and smaller divergence in opinions among the informed traders. Our model offers a market microstructure-based explanation about the investment-cash flow sensitivity other than the popular "financing constraint" hypothesis proposed by Fazzari, Hubbard, and Petersen (1988). Using financial analysts following a firm as a measure for informed traders, we find strong support for the model predictions. In particular, firms that are intensively covered by analysts have investment that is much more sensitive to cash flow than firms with less analyst coverage. We also verify several other predictions of the model.
FACET: Future ATM Concepts Evaluation Tool

This article describes FACET (Future Air Traffic Concepts Evaluation Tool), which is to be used to simulate environments in order to test and develop air traffic management concepts. It can model trajectories of more than 5,000 aircraft on a desktop computer. It includes prototypes of airborne self-separation, decision support for direct routing, advanced traffic flow management techniques and the integration of the operation of space launch vehicles in the U.S. airspace.
Verification of Multi-agent Systems via Combined Model Checking ∗

Model checking is a well-established technique for the formal verification of concurrent and distributed systems. In recent years, model checking has been extended and adapted for use in multi-agent systems, primarily to enable the formal analysis of BDI systems. While this has been successful, there is a need for more complex logical frameworks in order to verify realistic multi-agent systems. In particular, probabilistic and real-time aspects, as well as knowledge, belief, goals, etc., are required. However, the development of new model checking tools for complex combinations of logics is both difficult and time consuming. In this paper, we show how model checkers for the constituent logics can be re-used in a modular way when we consider combined logics involving different dimensions. This avoids the re-implementation of model checking procedures. Within this work we define a modular approach, prove its correctness, establish its complexity, and show how it can be used to describe existing combined approaches.
Finding mr and mrs entity in the city of knowledge

More and more urban data is published every day, and consequently, consumers want to take advantage of this body of knowledge. Unfortunately, metadata and schema information around this content is sparse. To effectively fulfill user information needs, systems must be able to capture user intent and context in order to evolve beyond current search and exploration techniques. A Linked Data approach is uniquely positioned to surface information and provide interoperability across a diversity of information sources, from consumer data residing in the original enterprise systems, to relevant open city data in tabular form. We present a prototype for contextual knowledge mining that enables federated access and querying of entities across hundreds of enterprise a nd open datasets pertaining to cities. The proposed system is able to (1) lift raw tabular data into a connected and meaningful structure, contextualized within the Web of Data, and (2) support novel search and exploration tasks, by identifying closely related entities across datasets and models. Our user experiments and prototype show how semantics, used to consolidate city information and reuse assets from the Web of Data, improve dataset search and provide users effective means to explore related entities and content to fit their information needs.