Optimal Designs for the Generalized Partial Credit Model

OpenAIRE

Bürkner, Paul-Christian; Schwabe, Rainer; Holling, Heinz

2018-01-01

Analyzing ordinal data becomes increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the most widely used ordinal model and finds application in many large scale educational assessment studies such as PISA. In the present paper, optimal test designs are investigated for estimating persons' abilities with the GPCM for calibrated tests when item parameters are known from previous studies. We will derive t...

An Introduction to the Partial Credit Model for Developing Nursing Assessments.

Science.gov (United States)

Fox, Christine

1999-01-01

Demonstrates how the partial credit model, a variation of the Rasch Measurement Model, can be used to develop performance-based assessments for nursing education. Applies the model using the Practical Knowledge Inventory for Nurses. (SK)

An application of locally linear model tree algorithm with combination of feature selection in credit scoring

Science.gov (United States)

Siami, Mohammad; Gholamian, Mohammad Reza; Basiri, Javad

2014-10-01

Nowadays, credit scoring is one of the most important topics in the banking sector. Credit scoring models have been widely used to facilitate the process of credit assessing. In this paper, an application of the locally linear model tree algorithm (LOLIMOT) was experimented to evaluate the superiority of its performance to predict the customer's credit status. The algorithm is improved with an aim of adjustment by credit scoring domain by means of data fusion and feature selection techniques. Two real world credit data sets - Australian and German - from UCI machine learning database were selected to demonstrate the performance of our new classifier. The analytical results indicate that the improved LOLIMOT significantly increase the prediction accuracy.

Greedy algorithms withweights for construction of partial association rules

KAUST Repository

Moshkov, Mikhail; Piliszczu, Marcin; Zielosko, Beata Marta

2009-01-01

This paper is devoted to the study of approximate algorithms for minimization of the total weight of attributes occurring in partial association rules. We consider mainly greedy algorithms with weights for construction of rules. The paper contains bounds on precision of these algorithms and bounds on the minimal weight of partial association rules based on an information obtained during the greedy algorithm run.

Greedy algorithms withweights for construction of partial association rules

KAUST Repository

Moshkov, Mikhail

2009-09-10

This paper is devoted to the study of approximate algorithms for minimization of the total weight of attributes occurring in partial association rules. We consider mainly greedy algorithms with weights for construction of rules. The paper contains bounds on precision of these algorithms and bounds on the minimal weight of partial association rules based on an information obtained during the greedy algorithm run.

Ordering policies of a deteriorating item in an EOQ model with backorder under two-level partial trade credit

Science.gov (United States)

Molamohamadi, Zohreh; Arshizadeh, Rahman; Ismail, Napsiah

2015-05-01

In the classical inventory model, it was assumed that the retailer must settle the accounts of the purchased items as soon as they are received. In practice, however, the supplier usually offers a full or partial delay period to the retailer to pay for the amount of the purchasing costs. In the partial trade credit contract, which is mostly applied to avoid non-payment risks, the retailer must pay for a portion of the purchased goods at the time of ordering and may delay settling the rest until the end of the predefined agreed upon period, so-called credit period. This paper assumes a two-level partial trade credit where both supplier and retailer offer a partial trade credit to their downstream members. The objective here is to determine the retailer's ordering policy of a deteriorating item by formulating his economic order quantity (EOQ) inventory system with backorder as a cost minimization problem. The sensitivity of the variables on different parameters has been also analyzed by applying numerical examples.

Partial multicanonical algorithm for molecular dynamics and Monte Carlo simulations.

Science.gov (United States)

Okumura, Hisashi

2008-09-28

Partial multicanonical algorithm is proposed for molecular dynamics and Monte Carlo simulations. The partial multicanonical simulation samples a wide range of a part of the potential-energy terms, which is necessary to sample the conformational space widely, whereas a wide range of total potential energy is sampled in the multicanonical algorithm. Thus, one can concentrate the effort to determine the weight factor only on the important energy terms in the partial multicanonical simulation. The partial multicanonical, multicanonical, and canonical molecular dynamics algorithms were applied to an alanine dipeptide in explicit water solvent. The canonical simulation sampled the states of P(II), C(5), alpha(R), and alpha(P). The multicanonical simulation covered the alpha(L) state as well as these states. The partial multicanonical simulation also sampled the C(7) (ax) state in addition to the states that were sampled by the multicanonical simulation. In the partial multicanonical simulation, furthermore, backbone dihedral angles phi and psi rotated more frequently than those in the multicanonical and canonical simulations. These results mean that the partial multicanonical algorithm has a higher sampling efficiency than the multicanonical and canonical algorithms.

A fast exact sequential algorithm for the partial digest problem.

Science.gov (United States)

Abbas, Mostafa M; Bahig, Hazem M

2016-12-22

Restriction site analysis involves determining the locations of restriction sites after the process of digestion by reconstructing their positions based on the lengths of the cut DNA. Using different reaction times with a single enzyme to cut DNA is a technique known as a partial digestion. Determining the exact locations of restriction sites following a partial digestion is challenging due to the computational time required even with the best known practical algorithm. In this paper, we introduce an efficient algorithm to find the exact solution for the partial digest problem. The algorithm is able to find all possible solutions for the input and works by traversing the solution tree with a breadth-first search in two stages and deleting all repeated subproblems. Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. We also apply the algorithm to real data for the Luciferase gene and the E. coli K12 genome. Our algorithm is a fast tool to find the exact solution for the partial digest problem. The percentage of improvement is more than 75% over the best known practical algorithm for the worst case. For large numbers of inputs, our algorithm is able to solve the problem in a suitable time, while the best known practical algorithm is unable.

A Comparison of Item Exposure Control Procedures with the Generalized Partial Credit Model

Science.gov (United States)

Sanchez, Edgar Isaac

2008-01-01

To enhance test security of high stakes tests, it is vital to understand the way various exposure control strategies function under various IRT models. To that end the present dissertation focused on the performance of several exposure control strategies under the generalized partial credit model with an item pool of 100 and 200 items. These…

On the Existence and Uniqueness of JML Estimates for the Partial Credit Model

Science.gov (United States)

Bertoli-Barsotti, Lucio

2005-01-01

A necessary and sufficient condition is given in this paper for the existence and uniqueness of the maximum likelihood (the so-called joint maximum likelihood) estimate of the parameters of the Partial Credit Model. This condition is stated in terms of a structural property of the pattern of the data matrix that can be easily verified on the basis…

The Dif Identification in Constructed Response Items Using Partial Credit Model

OpenAIRE

Heri Retnawati

2017-01-01

The study was to identify the load, the type and the significance of differential item functioning (DIF) in constructed response item using the partial credit model (PCM). The data in the study were the students’ instruments and the students’ responses toward the PISA-like test items that had been completed by 386 ninth grade students and 460 tenth grade students who had been about 15 years old in the Province of Yogyakarta Special Region in Indonesia. The analysis toward the item characteris...

A Comparison of Graded Response and Rasch Partial Credit Models with Subjective Well-Being.

Science.gov (United States)

Baker, John G.; Rounds, James B.; Zevon, Michael A.

2000-01-01

Compared two multiple category item response theory models using a data set of 52 mood terms with 713 undergraduate psychology students. Comparative model fit for the Samejima (F. Samejima, 1966) logistic model for graded responses and the Masters (G. Masters, 1982) partial credit model favored the former model for this data set. (SLD)

Rasch-Master's Partial Credit Model in the assessment of children's creativity in drawings.

Science.gov (United States)

Nakano, Tatiana de Cássia; Primi, Ricardo

2014-01-01

The purpose of the present study was to use the Partial Credit Model to study the factors of the Test of Creativity in Children and identify which characteristics of the creative person would be more effective to differentiate subjects according to their ability level. A sample of 1426 students from first to eighth grades answered the instrument. The Partial Credits model was used to estimate the ability of the subjects and item difficulties on a common scale for each of the four factors, indicating which items required a higher level of creativity to be scored and will differentiate the more creative individuals. The results demonstrated that the greater part of the characteristics showed good fit indices, with values between 0.80 and 1.30 both infit and outfit, indicating a response pattern consistent with the model. The characteristics of Unusual Perspective, Expression of Emotion and Originality have been identified as better predictors of creative performance because requires greater ability level (usually above two standard deviation). These results may be used in the future development of an instrument's reduced form or simplification of the current correction model.

Genetic algorithm solution for partial digest problem.

Science.gov (United States)

Ahrabian, Hayedeh; Ganjtabesh, Mohammad; Nowzari-Dalini, Abbas; Razaghi-Moghadam-Kashani, Zahra

2013-01-01

One of the fundamental problems in computational biology is the construction of physical maps of chromosomes from the hybridisation experiments between unique probes and clones of chromosome fragments. Before introducing the shotgun sequencing method, Partial Digest Problem (PDP) was an intractable problem used to construct the physical maps of DNA sequence in molecular biology. In this paper, we develop a novel Genetic Algorithm (GA) for solving the PDP. This algorithm is implemented and compared with well-known existing algorithms on different types of random and real instances data, and the obtained results show the efficiency of our algorithm. Also, our GA is adapted to handle the erroneous data and their efficiency is presented for the large instances of this problem.

Exploring Alternative Characteristic Curve Approaches to Linking Parameter Estimates from the Generalized Partial Credit Model.

Science.gov (United States)

Roberts, James S.; Bao, Han; Huang, Chun-Wei; Gagne, Phill

Characteristic curve approaches for linking parameters from the generalized partial credit model were examined for cases in which common (anchor) items are calibrated separately in two groups. Three of these approaches are simple extensions of the test characteristic curve (TCC), item characteristic curve (ICC), and operating characteristic curve…

An isotonic partial credit model for ordering subjects on the basis of their sum scores

NARCIS (Netherlands)

Ligtvoet, R.

2012-01-01

In practice, the sum of the item scores is often used as a basis for comparing subjects. For items that have more than two ordered score categories, only the partial credit model (PCM) and special cases of this model imply that the subjects are stochastically ordered on the common latent variable.

Strategies for Controlling Item Exposure in Computerized Adaptive Testing with the Generalized Partial Credit Model

Science.gov (United States)

Davis, Laurie Laughlin

2004-01-01

Choosing a strategy for controlling item exposure has become an integral part of test development for computerized adaptive testing (CAT). This study investigated the performance of six procedures for controlling item exposure in a series of simulated CATs under the generalized partial credit model. In addition to a no-exposure control baseline…

Partially Adaptive STAP Algorithm Approaches to functional MRI

OpenAIRE

Huang, Lejian; Thompson, Elizabeth A.; Schmithorst, Vincent; Holland, Scott K.; Talavage, Thomas M.

2008-01-01

In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation maps in fMRI. Computer simulations incorporating actual MRI noise and human data analysis indicate that element space partially adaptive STAP can attain close to the performance of fully adaptive STAP while significantly decreasing processing tim...

An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores

Science.gov (United States)

Ligtvoet, Rudy

2012-01-01

In practice, the sum of the item scores is often used as a basis for comparing subjects. For items that have more than two ordered score categories, only the partial credit model (PCM) and special cases of this model imply that the subjects are stochastically ordered on the common latent variable. However, the PCM is very restrictive with respect…

Quantum Partial Searching Algorithm of a Database with Several Target Items

International Nuclear Information System (INIS)

Pu-Cha, Zhong; Wan-Su, Bao; Yun, Wei

2009-01-01

Choi and Korepin [Quantum Information Processing 6(2007)243] presented a quantum partial search algorithm of a database with several target items which can find a target block quickly when each target block contains the same number of target items. Actually, the number of target items in each target block is arbitrary. Aiming at this case, we give a condition to guarantee performance of the partial search algorithm to be performed and the number of queries to oracle of the algorithm to be minimized. In addition, by further numerical computing we come to the conclusion that the more uniform the distribution of target items, the smaller the number of queries

Optimization of partially shaded PV array using a modified P&O MPPT algorithm

Directory of Open Access Journals (Sweden)

Abdelaziz YOUCEF

2016-07-01

Full Text Available A photovoltaic (PV array generated power is directly affected by temperature, solar irradiation, shading, and array configuration. In practice, PV arrays could be partially shaded by could, buildings, trees and other utilities. In this case, multiple maximums appear in the P-V curve, a global maximum and one or several local maximums. The “perturb and observe“ (P&O maximum power point tracking (MPPT algorithm cannot differentiate between a global and a local maximum and it is therefore ineffective when partial shading occurs. First, this paper presents an original mathematical model of the P-V curve of a partially shaded PV array, that was used to perform a simulation study in order to show the P&O algorithm inability to track the global MPP of a PV array solar system under partial shading for low shading irradiation levels, then an adaptation sub algorithm is proposed to be added to the P&O algorithm in order to give it the ability to track the global MPP. This sub algorithm moves the operating point imposed by the partial shading configuration to a point in the vicinity of the global MPP in order to be easily tracked by the P&O algorithm. In the simulation, a PV array with a hundred modules has been considered by using a light, a medium then a severe shading configuration. The results obtained indicate that the proposed modified P&O algorithm is able to track the global MPP for the considered shading configurations and for any shading irradiation level.

Methods for Assessing Item, Step, and Threshold Invariance in Polytomous Items Following the Partial Credit Model

Science.gov (United States)

Penfield, Randall D.; Myers, Nicholas D.; Wolfe, Edward W.

2008-01-01

Measurement invariance in the partial credit model (PCM) can be conceptualized in several different but compatible ways. In this article the authors distinguish between three forms of measurement invariance in the PCM: step invariance, item invariance, and threshold invariance. Approaches for modeling these three forms of invariance are proposed,…

Parent Ratings of ADHD Symptoms: Generalized Partial Credit Model Analysis of Differential Item Functioning across Gender

Science.gov (United States)

Gomez, Rapson

2012-01-01

Objective: Generalized partial credit model, which is based on item response theory (IRT), was used to test differential item functioning (DIF) for the "Diagnostic and Statistical Manual of Mental Disorders" (4th ed.), inattention (IA), and hyperactivity/impulsivity (HI) symptoms across boys and girls. Method: To accomplish this, parents completed…

Partially Adaptive STAP Algorithm Approaches to functional MRI

Science.gov (United States)

Huang, Lejian; Thompson, Elizabeth A.; Schmithorst, Vincent; Holland, Scott K.; Talavage, Thomas M.

2010-01-01

In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation maps in fMRI. Computer simulations incorporating actual MRI noise and human data analysis indicate that element space partially adaptive STAP can attain close to the performance of fully adaptive STAP while significantly decreasing processing time and maximum memory requirements, and thus demonstrates potential in fMRI analysis. PMID:19272913

Comparison of Exposure Controls, Item Pool Characteristics, and Population Distributions for CAT Using the Partial Credit Model

Science.gov (United States)

Lee, HwaYoung; Dodd, Barbara G.

2012-01-01

This study investigated item exposure control procedures under various combinations of item pool characteristics and ability distributions in computerized adaptive testing based on the partial credit model. Three variables were manipulated: item pool characteristics (120 items for each of easy, medium, and hard item pools), two ability…

A Study of Reverse-Worded Matched Item Pairs Using the Generalized Partial Credit and Nominal Response Models

Science.gov (United States)

Matlock Cole, Ki Lynn; Turner, Ronna C.; Gitchel, W. Dent

2018-01-01

The generalized partial credit model (GPCM) is often used for polytomous data; however, the nominal response model (NRM) allows for the investigation of how adjacent categories may discriminate differently when items are positively or negatively worded. Ten items from three different self-reported scales were used (anxiety, depression, and…

Unified algorithm for partial differential equations and examples of numerical computation

International Nuclear Information System (INIS)

Watanabe, Tsuguhiro

1999-01-01

A new unified algorithm is proposed to solve partial differential equations which describe nonlinear boundary value problems, eigenvalue problems and time developing boundary value problems. The algorithm is composed of implicit difference scheme and multiple shooting scheme and is named as HIDM (Higher order Implicit Difference Method). A new prototype computer programs for 2-dimensional partial differential equations is constructed and tested successfully to several problems. Extension of the computer programs to 3 or more higher order dimension problems will be easy due to the direct product type difference scheme. (author)

A Multidimensional Partial Credit Model with Associated Item and Test Statistics: An Application to Mixed-Format Tests

Science.gov (United States)

Yao, Lihua; Schwarz, Richard D.

2006-01-01

Multidimensional item response theory (IRT) models have been proposed for better understanding the dimensional structure of data or to define diagnostic profiles of student learning. A compensatory multidimensional two-parameter partial credit model (M-2PPC) for constructed-response items is presented that is a generalization of those proposed to…

Solving Partial Differential Equations Using a New Differential Evolution Algorithm

Directory of Open Access Journals (Sweden)

Natee Panagant

2014-01-01

Full Text Available This paper proposes an alternative meshless approach to solve partial differential equations (PDEs. With a global approximate function being defined, a partial differential equation problem is converted into an optimisation problem with equality constraints from PDE boundary conditions. An evolutionary algorithm (EA is employed to search for the optimum solution. For this approach, the most difficult task is the low convergence rate of EA which consequently results in poor PDE solution approximation. However, its attractiveness remains due to the nature of a soft computing technique in EA. The algorithm can be used to tackle almost any kind of optimisation problem with simple evolutionary operation, which means it is mathematically simpler to use. A new efficient differential evolution (DE is presented and used to solve a number of the partial differential equations. The results obtained are illustrated and compared with exact solutions. It is shown that the proposed method has a potential to be a future meshless tool provided that the search performance of EA is greatly enhanced.

Optimizing Support Vector Machine Parameters with Genetic Algorithm for Credit Risk Assessment

Science.gov (United States)

Manurung, Jonson; Mawengkang, Herman; Zamzami, Elviawaty

2017-12-01

Support vector machine (SVM) is a popular classification method known to have strong generalization capabilities. SVM can solve the problem of classification and linear regression or nonlinear kernel which can be a learning algorithm for the ability of classification and regression. However, SVM also has a weakness that is difficult to determine the optimal parameter value. SVM calculates the best linear separator on the input feature space according to the training data. To classify data which are non-linearly separable, SVM uses kernel tricks to transform the data into a linearly separable data on a higher dimension feature space. The kernel trick using various kinds of kernel functions, such as : linear kernel, polynomial, radial base function (RBF) and sigmoid. Each function has parameters which affect the accuracy of SVM classification. To solve the problem genetic algorithms are proposed to be applied as the optimal parameter value search algorithm thus increasing the best classification accuracy on SVM. Data taken from UCI repository of machine learning database: Australian Credit Approval. The results show that the combination of SVM and genetic algorithms is effective in improving classification accuracy. Genetic algorithms has been shown to be effective in systematically finding optimal kernel parameters for SVM, instead of randomly selected kernel parameters. The best accuracy for data has been upgraded from kernel Linear: 85.12%, polynomial: 81.76%, RBF: 77.22% Sigmoid: 78.70%. However, for bigger data sizes, this method is not practical because it takes a lot of time.

Algebraic dynamics solutions and algebraic dynamics algorithm for nonlinear partial differential evolution equations of dynamical systems

Institute of Scientific and Technical Information of China (English)

2008-01-01

Using functional derivative technique in quantum field theory, the algebraic dy-namics approach for solution of ordinary differential evolution equations was gen-eralized to treat partial differential evolution equations. The partial differential evo-lution equations were lifted to the corresponding functional partial differential equations in functional space by introducing the time translation operator. The functional partial differential evolution equations were solved by algebraic dynam-ics. The algebraic dynamics solutions are analytical in Taylor series in terms of both initial functions and time. Based on the exact analytical solutions, a new nu-merical algorithm—algebraic dynamics algorithm was proposed for partial differ-ential evolution equations. The difficulty of and the way out for the algorithm were discussed. The application of the approach to and computer numerical experi-ments on the nonlinear Burgers equation and meteorological advection equation indicate that the algebraic dynamics approach and algebraic dynamics algorithm are effective to the solution of nonlinear partial differential evolution equations both analytically and numerically.

An Examination of Exposure Control and Content Balancing Restrictions on Item Selection in CATs Using the Partial Credit Model.

Science.gov (United States)

Davis, Laurie Laughlin; Pastor, Dena A.; Dodd, Barbara G.; Chiang, Claire; Fitzpatrick, Steven J.

2003-01-01

Examined the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system based on the partial credit model. Simulation results show the Sympson-Hetter technique can be used with minimal impact on measurement precision,…

Application of Generalized Hukuhara derivative approach in an economic production quantity model with partial trade credit policy under fuzzy environment

Directory of Open Access Journals (Sweden)

Pinki Majumder

2016-01-01

Full Text Available In this present study, a production inventory model with partial trade credit is formulated and solved in fuzzy environment via Generalized Hukuhara derivative approach. To capture the market, a supplier offers a trade credit period to its retailers. Due to this facility, retailer also offers a partial trade credit period to his/her customer to boost the demand of the item. In practical life situation, demands are generally dependent upon time. Constant demand of an item varies time to time. In this vague situation, demands are taken as time dependent, where its constant part is taken as Left Right - type fuzzy number. In this paper, Generalized Hukuhara derivative approach is used to solve the fuzzy inventory model. Four different cases are considered by using Generalized Hukuhara-(i differentiability and Generalized Hukuhara-(ii differentiability. The objective of this paper is to find out the optimal time so as the total inventory cost is minimum. Finally the model is solved by generalized reduced gradient method. The proposed model and technique are illustrated by numerical examples. Some sensitivity analyses both in tabular and graphical forms are presented and the effects of minimum cost with respect to various inventory parameters are discussed.

Identification of partial blockages in pipelines using genetic algorithms

Indian Academy of Sciences (India)

A methodology to identify the partial blockages in a simple pipeline using genetic algorithms for non-harmonic flows is presented in this paper. A sinusoidal flow generated by the periodic on-and-off operation of a valve at the outlet is investigated in the time domain and it is observed that pressure variation at the valve is ...

Factors Affecting the Behavior of University Community to Use Credit Card

Directory of Open Access Journals (Sweden)

Maya Sari

2011-12-01

Full Text Available This study was aimed to gain insights and tested the factors that influence credit cards usage in university community of UPI through Theory of Planned Behavior model approach. Using Path Analysis to explain the direct and indirect influence of attitude, subjective norm and behavioral control to intention and behavior of credit card usage. The results showed all respondents have a positive attitude towards credit cards usage, with high influence of subjective norm, high behavior control, high intention to use credit cards and all respondents used credit cards wisely. There was positive and significant effect either simultaneously or partially between behavioral attitudes, subjective norms, and behavior control toward the intention to use credit card. The partial test results showed behavioral attitude has the greatest influence on the intention to use credit card. There was a positive and significant influence both simultaneously and partially between behavioral attitudes, subjective norms, and behavioral control on default-risk debt behavior. The partial results showed that attitude gives the greatest influence on default debt risk behavior. The result also proved there was a positive and significant influence of the intention to use credit card on default debt risk behavior.

Measurement of Online Student Engagement: Utilization of Continuous Online Student Behavior Indicators as Items in a Partial Credit Rasch Model

Science.gov (United States)

Anderson, Elizabeth

2017-01-01

Student engagement has been shown to be essential to the development of research-based best practices for K-12 education. It has been defined and measured in numerous ways. The purpose of this research study was to develop a measure of online student engagement for grades 3 through 8 using a partial credit Rasch model and validate the measure…

Supply chain model with price- and trade credit-sensitive demand under two-level permissible delay in payments

Science.gov (United States)

Giri, B. C.; Maiti, T.

2013-05-01

This article develops a single-manufacturer and single-retailer supply chain model under two-level permissible delay in payments when the manufacturer follows a lot-for-lot policy in response to the retailer's demand. The manufacturer offers a trade credit period to the retailer with the contract that the retailer must share a fraction of the profit earned during the trade credit period. On the other hand, the retailer provides his customer a partial trade credit which is less than that of the manufacturer. The demand at the retailer is assumed to be dependent on the selling price and the trade credit period offered to the customers. The average net profit of the supply chain is derived and an algorithm for finding the optimal solution is developed. Numerical examples are given to demonstrate the coordination policy of the supply chain and examine the sensitivity of key model-parameters.

Risk adjustment model of credit life insurance using a genetic algorithm

Science.gov (United States)

Saputra, A.; Sukono; Rusyaman, E.

2018-03-01

In managing the risk of credit life insurance, insurance company should acknowledge the character of the risks to predict future losses. Risk characteristics can be learned in a claim distribution model. There are two standard approaches in designing the distribution model of claims over the insurance period i.e, collective risk model and individual risk model. In the collective risk model, the claim arises when risk occurs is called individual claim, accumulation of individual claim during a period of insurance is called an aggregate claim. The aggregate claim model may be formed by large model and a number of individual claims. How the measurement of insurance risk with the premium model approach and whether this approach is appropriate for estimating the potential losses occur in the future. In order to solve the problem Genetic Algorithm with Roulette Wheel Selection is used.

Construction and Application Research of Isomap-RVM Credit Assessment Model

Directory of Open Access Journals (Sweden)

Guangrong Tong

2015-01-01

Full Text Available Credit assessment is the basis and premise of credit risk management systems. Accurate and scientific credit assessment is of great significance to the operational decisions of shareholders, corporate creditors, and management. Building a good and reliable credit assessment model is key to credit assessment. Traditional credit assessment models are constructed using the support vector machine (SVM combined with certain traditional dimensionality reduction algorithms. When constructing such a model, the dimensionality reduction algorithms are first applied to reduce the dimensions of the samples, so as to prevent the correlation of the samples’ characteristic index from being too high. Then, machine learning of the samples will be conducted using the SVM, in order to carry out classification assessment. To further improve the accuracy of credit assessment methods, this paper has introduced more cutting-edge algorithms, applied isometric feature mapping (Isomap for dimensionality reduction, and used the relevance vector machine (RVM for credit classification. It has constructed an Isomap-RVM model and used it to conduct financial analysis of China's listed companies. The empirical analysis shows that the credit assessment accuracy of the Isomap-RVM model is significantly higher than that of the Isomap-SVM model and slightly higher than that of the PCA-RVM model. It can correctly identify the credit risks of listed companies.

COMPARISON OF PARTIAL LEAST SQUARES REGRESSION METHOD ALGORITHMS: NIPALS AND PLS-KERNEL AND AN APPLICATION

Directory of Open Access Journals (Sweden)

ELİF BULUT

2013-06-01

Full Text Available Partial Least Squares Regression (PLSR is a multivariate statistical method that consists of partial least squares and multiple linear regression analysis. Explanatory variables, X, having multicollinearity are reduced to components which explain the great amount of covariance between explanatory and response variable. These components are few in number and they don’t have multicollinearity problem. Then multiple linear regression analysis is applied to those components to model the response variable Y. There are various PLSR algorithms. In this study NIPALS and PLS-Kernel algorithms will be studied and illustrated on a real data set.

Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device

Science.gov (United States)

Qin, Jin; Tang, Siqi; Han, Congying; Guo, Tiande

2018-04-01

Partial fingerprint identification technology which is mainly used in device with small sensor area like cellphone, U disk and computer, has taken more attention in recent years with its unique advantages. However, owing to the lack of sufficient minutiae points, the conventional method do not perform well in the above situation. We propose a new fingerprint matching technique which utilizes ridges as features to deal with partial fingerprint images and combines the modified generalized Hough transform and scoring strategy based on machine learning. The algorithm can effectively meet the real-time and space-saving requirements of the resource constrained devices. Experiments on in-house database indicate that the proposed algorithm have an excellent performance.

Cash or Credit? Compensation in Psychology Studies: Motivation Matters

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Holly J. Bowen

2017-05-01

Full Text Available It is common practice for psychology researchers to recruit their sample of participants from the undergraduate student population. Participants are typically compensated with partial course credit or a monetary payment. The current study reveals that the motivation to participate in a study (cash versus course credit can relate to performance on a behavioral task of rewarded memory. In Experiment 1, undergraduate participants were recruited and compensated for their time with either partial course credit or cash. Potential performance-based cash rewards were earned during a rewarded memory task, where correct recognition of half the stimuli was worth a high reward and the other half a low reward. Memory for high reward items was better than low reward items, but only for the cash group. The credit group did not modulate their performance based on the value of the stimuli. In Experiment 2, undergraduates were compensated with partial course credit for their time and given the opportunity to earn a bonus credit for performance on a memory test. The findings were in line with the results from the credit group of Experiment 1, suggesting that the modulation of performance in the cash group of Experiment 1 cannot be accounted for by congruency between motivation to participate and reward for task performance. Of methodological importance, the findings indicate that recruiting and compensating participants with cash versus course credit may influence the results on a rewarded memory task. This factor should be taken into consideration in studies of reward motivation.

18 CFR 367.2550 - Account 255, Accumulated deferred investment tax credits.

Science.gov (United States)

2010-04-01

..., Accumulated deferred investment tax credits. 367.2550 Section 367.2550 Conservation of Power and Water... 255, Accumulated deferred investment tax credits. This account must be credited with all investment tax credits deferred by companies that have elected to follow deferral accounting, partial or full...

PARTIAL TRAINING METHOD FOR HEURISTIC ALGORITHM OF POSSIBLE CLUSTERIZATION UNDER UNKNOWN NUMBER OF CLASSES

Directory of Open Access Journals (Sweden)

D. A. Viattchenin

2009-01-01

Full Text Available A method for constructing a subset of labeled objects which is used in a heuristic algorithm of possible  clusterization with partial  training is proposed in the  paper.  The  method  is  based  on  data preprocessing by the heuristic algorithm of possible clusterization using a transitive closure of a fuzzy tolerance. Method efficiency is demonstrated by way of an illustrative example.

Optimal pricing and replenishment policies for instantaneous deteriorating items with backlogging and trade credit under inflation

Science.gov (United States)

Sundara Rajan, R.; Uthayakumar, R.

2017-12-01

In this paper we develop an economic order quantity model to investigate the optimal replenishment policies for instantaneous deteriorating items under inflation and trade credit. Demand rate is a linear function of selling price and decreases negative exponentially with time over a finite planning horizon. Shortages are allowed and partially backlogged. Under these conditions, we model the retailer's inventory system as a profit maximization problem to determine the optimal selling price, optimal order quantity and optimal replenishment time. An easy-to-use algorithm is developed to determine the optimal replenishment policies for the retailer. We also provide optimal present value of profit when shortages are completely backlogged as a special case. Numerical examples are presented to illustrate the algorithm provided to obtain optimal profit. And we also obtain managerial implications from numerical examples to substantiate our model. The results show that there is an improvement in total profit from complete backlogging rather than the items being partially backlogged.

The Dif Identification in Constructed Response Items Using Partial Credit Model

Directory of Open Access Journals (Sweden)

Heri Retnawati

2017-10-01

Full Text Available The study was to identify the load, the type and the significance of differential item functioning (DIF in constructed response item using the partial credit model (PCM. The data in the study were the students’ instruments and the students’ responses toward the PISA-like test items that had been completed by 386 ninth grade students and 460 tenth grade students who had been about 15 years old in the Province of Yogyakarta Special Region in Indonesia. The analysis toward the item characteristics through the student categorization based on their class was conducted toward the PCM using CONQUEST software. Furthermore, by applying these items characteristics, the researcher draw the category response function (CRF graphic in order to identify whether the type of DIF content had been in uniform or non-uniform. The significance of DIF was identified by comparing the discrepancy between the difficulty level parameter and the error in the CONQUEST output results. The results of the analysis showed that from 18 items that had been analyzed there were 4 items which had not been identified load DIF, there were 5 items that had been identified containing DIF but not statistically significant and there were 9 items that had been identified containing DIF significantly. The causes of items containing DIF were discussed.

Partial Transmit Sequence Optimization Using Improved Harmony Search Algorithm for PAPR Reduction in OFDM

Directory of Open Access Journals (Sweden)

Mangal Singh

2017-12-01

Full Text Available This paper considers the use of the Partial Transmit Sequence (PTS technique to reduce the Peak‐to‐Average Power Ratio (PAPR of an Orthogonal Frequency Division Multiplexing signal in wireless communication systems. Search complexity is very high in the traditional PTS scheme because it involves an extensive random search over all combinations of allowed phase vectors, and it increases exponentially with the number of phase vectors. In this paper, a suboptimal metaheuristic algorithm for phase optimization based on an improved harmony search (IHS is applied to explore the optimal combination of phase vectors that provides improved performance compared with existing evolutionary algorithms such as the harmony search algorithm and firefly algorithm. IHS enhances the accuracy and convergence rate of the conventional algorithms with very few parameters to adjust. Simulation results show that an improved harmony search‐based PTS algorithm can achieve a significant reduction in PAPR using a simple network structure compared with conventional algorithms.

Modified multiblock partial least squares path modeling algorithm with backpropagation neural networks approach

Science.gov (United States)

Yuniarto, Budi; Kurniawan, Robert

2017-03-01

PLS Path Modeling (PLS-PM) is different from covariance based SEM, where PLS-PM use an approach based on variance or component, therefore, PLS-PM is also known as a component based SEM. Multiblock Partial Least Squares (MBPLS) is a method in PLS regression which can be used in PLS Path Modeling which known as Multiblock PLS Path Modeling (MBPLS-PM). This method uses an iterative procedure in its algorithm. This research aims to modify MBPLS-PM with Back Propagation Neural Network approach. The result is MBPLS-PM algorithm can be modified using the Back Propagation Neural Network approach to replace the iterative process in backward and forward step to get the matrix t and the matrix u in the algorithm. By modifying the MBPLS-PM algorithm using Back Propagation Neural Network approach, the model parameters obtained are relatively not significantly different compared to model parameters obtained by original MBPLS-PM algorithm.

A neural network model for credit risk evaluation.

Science.gov (United States)

Khashman, Adnan

2009-08-01

Credit scoring is one of the key analytical techniques in credit risk evaluation which has been an active research area in financial risk management. This paper presents a credit risk evaluation system that uses a neural network model based on the back propagation learning algorithm. We train and implement the neural network to decide whether to approve or reject a credit application, using seven learning schemes and real world credit applications from the Australian credit approval datasets. A comparison of the system performance under the different learning schemes is provided, furthermore, we compare the performance of two neural networks; with one and two hidden layers following the ideal learning scheme. Experimental results suggest that neural networks can be effectively used in automatic processing of credit applications.

A Pruning Neural Network Model in Credit Classification Analysis

Directory of Open Access Journals (Sweden)

Yajiao Tang

2018-01-01

Full Text Available Nowadays, credit classification models are widely applied because they can help financial decision-makers to handle credit classification issues. Among them, artificial neural networks (ANNs have been widely accepted as the convincing methods in the credit industry. In this paper, we propose a pruning neural network (PNN and apply it to solve credit classification problem by adopting the well-known Australian and Japanese credit datasets. The model is inspired by synaptic nonlinearity of a dendritic tree in a biological neural model. And it is trained by an error back-propagation algorithm. The model is capable of realizing a neuronal pruning function by removing the superfluous synapses and useless dendrites and forms a tidy dendritic morphology at the end of learning. Furthermore, we utilize logic circuits (LCs to simulate the dendritic structures successfully which makes PNN be implemented on the hardware effectively. The statistical results of our experiments have verified that PNN obtains superior performance in comparison with other classical algorithms in terms of accuracy and computational efficiency.

Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels

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Masoumeh Soflaei

2014-01-01

Full Text Available One of the most important problems of reliable communications in shallow water channels is intersymbol interference (ISI which is due to scattering from surface and reflecting from bottom. Using adaptive equalizers in receiver is one of the best suggested ways for overcoming this problem. In this paper, we apply the family of selective regressor affine projection algorithms (SR-APA and the family of selective partial update APA (SPU-APA which have low computational complexity that is one of the important factors that influences adaptive equalizer performance. We apply experimental data from Strait of Hormuz for examining the efficiency of the proposed methods over shallow water channel. We observe that the values of the steady-state mean square error (MSE of SR-APA and SPU-APA decrease by 5.8 (dB and 5.5 (dB, respectively, in comparison with least mean square (LMS algorithm. Also the families of SPU-APA and SR-APA have better convergence speed than LMS type algorithm.

On Partial Defaults in Portfolio Credit Risk : A Poisson Mixture Model Approach

OpenAIRE

Weißbach, Rafael; von Lieres und Wilkau, Carsten

2005-01-01

Most credit portfolio models exclusively calculate the loss distribution for a portfolio of performing counterparts. Conservative default definitions cause considerable insecurity about the loss for a long time after the default. We present three approaches to account for defaulted counterparts in the calculation of the economic capital. Two of the approaches are based on the Poisson mixture model CreditRisk+ and derive a loss distribution for an integrated portfolio. The third method treats ...

Expectation-maximization algorithms for learning a finite mixture of univariate survival time distributions from partially specified class values

Energy Technology Data Exchange (ETDEWEB)

Lee, Youngrok [Iowa State Univ., Ames, IA (United States)

2013-05-15

Heterogeneity exists on a data set when samples from di erent classes are merged into the data set. Finite mixture models can be used to represent a survival time distribution on heterogeneous patient group by the proportions of each class and by the survival time distribution within each class as well. The heterogeneous data set cannot be explicitly decomposed to homogeneous subgroups unless all the samples are precisely labeled by their origin classes; such impossibility of decomposition is a barrier to overcome for estimating nite mixture models. The expectation-maximization (EM) algorithm has been used to obtain maximum likelihood estimates of nite mixture models by soft-decomposition of heterogeneous samples without labels for a subset or the entire set of data. In medical surveillance databases we can find partially labeled data, that is, while not completely unlabeled there is only imprecise information about class values. In this study we propose new EM algorithms that take advantages of using such partial labels, and thus incorporate more information than traditional EM algorithms. We particularly propose four variants of the EM algorithm named EM-OCML, EM-PCML, EM-HCML and EM-CPCML, each of which assumes a specific mechanism of missing class values. We conducted a simulation study on exponential survival trees with five classes and showed that the advantages of incorporating substantial amount of partially labeled data can be highly signi cant. We also showed model selection based on AIC values fairly works to select the best proposed algorithm on each specific data set. A case study on a real-world data set of gastric cancer provided by Surveillance, Epidemiology and End Results (SEER) program showed a superiority of EM-CPCML to not only the other proposed EM algorithms but also conventional supervised, unsupervised and semi-supervised learning algorithms.

Diffusion of scientific credits and the ranking of scientists

Science.gov (United States)

Radicchi, Filippo; Fortunato, Santo; Markines, Benjamin; Vespignani, Alessandro

2009-11-01

Recently, the abundance of digital data is enabling the implementation of graph-based ranking algorithms that provide system level analysis for ranking publications and authors. Here, we take advantage of the entire Physical Review publication archive (1893-2006) to construct authors’ networks where weighted edges, as measured from opportunely normalized citation counts, define a proxy for the mechanism of scientific credit transfer. On this network, we define a ranking method based on a diffusion algorithm that mimics the spreading of scientific credits on the network. We compare the results obtained with our algorithm with those obtained by local measures such as the citation count and provide a statistical analysis of the assignment of major career awards in the area of physics. A website where the algorithm is made available to perform customized rank analysis can be found at the address http://www.physauthorsrank.org.

COMPENSATORY INTEREST SETTLEMENT AND CREDIT BANKING MORATORIUM

OpenAIRE

Avelino Sánchez, Esteban Marino

2014-01-01

First is explained the reasons for this article, it mentions the specific legal rules that support the settlement of interest on the credit operations of companies in the financial system with end users, and then presents the average interest rates of some operations credit. Then we present the formula for calculating interest, and illustrates its application with examples 1 and 2 (the simplest). The following is, in examples 3 and 4, the calculation of interest with imputation of partial pay...

CREDIT SYSTEM AND CREDIT GUARANTEE PROGRAMS

OpenAIRE

Turgay GECER

2012-01-01

Credit system is an integrated architecture consisted of financial information, credit rating, credit risk management, receivables and credit insurance systems, credit derivative markets and credit guarantee programs. The main purpose of the credit system is to provide the functioning of all credit channels and to make it easy to access of credit sources demanded by all of real and legal persons in any economic system. Credit guarantee program, the one of prominent elements of the credit syst...

Route Generation for a Synthetic Character (BOT) Using a Partial or Incomplete Knowledge Route Generation Algorithm in UT2004 Virtual Environment

Science.gov (United States)

Hanold, Gregg T.; Hanold, David T.

2010-01-01

This paper presents a new Route Generation Algorithm that accurately and realistically represents human route planning and navigation for Military Operations in Urban Terrain (MOUT). The accuracy of this algorithm in representing human behavior is measured using the Unreal Tournament(Trademark) 2004 (UT2004) Game Engine to provide the simulation environment in which the differences between the routes taken by the human player and those of a Synthetic Agent (BOT) executing the A-star algorithm and the new Route Generation Algorithm can be compared. The new Route Generation Algorithm computes the BOT route based on partial or incomplete knowledge received from the UT2004 game engine during game play. To allow BOT navigation to occur continuously throughout the game play with incomplete knowledge of the terrain, a spatial network model of the UT2004 MOUT terrain is captured and stored in an Oracle 11 9 Spatial Data Object (SOO). The SOO allows a partial data query to be executed to generate continuous route updates based on the terrain knowledge, and stored dynamic BOT, Player and environmental parameters returned by the query. The partial data query permits the dynamic adjustment of the planned routes by the Route Generation Algorithm based on the current state of the environment during a simulation. The dynamic nature of this algorithm more accurately allows the BOT to mimic the routes taken by the human executing under the same conditions thereby improving the realism of the BOT in a MOUT simulation environment.

A credit policy approach in a two-warehouse inventory model for deteriorating items with price- and stock-dependent demand under partial backlogging

Science.gov (United States)

Panda, Gobinda Chandra; Khan, Md. Al-Amin; Shaikh, Ali Akbar

2018-04-01

Advertisement of the product is an important factor in inventory analysis. Also, price and stock have an important role to attract more customers in the competitive business situations. Trade credit policy is another important role in inventory analysis. We have combined these three factors together in a two-warehouse inventory model and represented it mathematically. In addition, we have added deteriorating factor of our proposed problem with price- and stock-dependent demand under partial backlogged shortage and solved. The frequency of advertisement is considered constant for a year in this paper. The proposed model is highly nonlinear in nature. Due to highly nonlinearity, we could not find the closed form solution. In this paper, trade credit facility is taken in the perspective of retailer, and all the possible cases and subcases of the model are discussed and solved using lingo 10.0 software. The results of sensitivity analysis prove the effectiveness of the proposed model.

A Label Correcting Algorithm for Partial Disassembly Sequences in the Production Planning for End-of-Life Products

Directory of Open Access Journals (Sweden)

Pei-Fang (Jennifer Tsai

2012-01-01

Full Text Available Remanufacturing of used products has become a strategic issue for cost-sensitive businesses. Due to the nature of uncertain supply of end-of-life (EoL products, the reverse logistic can only be sustainable with a dynamic production planning for disassembly process. This research investigates the sequencing of disassembly operations as a single-period partial disassembly optimization (SPPDO problem to minimize total disassembly cost. AND/OR graph representation is used to include all disassembly sequences of a returned product. A label correcting algorithm is proposed to find an optimal partial disassembly plan if a specific reusable subpart is retrieved from the original return. Then, a heuristic procedure that utilizes this polynomial-time algorithm is presented to solve the SPPDO problem. Numerical examples are used to demonstrate the effectiveness of this solution procedure.

A partially reflecting random walk on spheres algorithm for electrical impedance tomography

Energy Technology Data Exchange (ETDEWEB)

Maire, Sylvain, E-mail: maire@univ-tln.fr [Laboratoire LSIS Equipe Signal et Image, Université du Sud Toulon-Var, Av. Georges Pompidou, BP 56, 83162 La Valette du Var Cedex (France); Simon, Martin, E-mail: simon@math.uni-mainz.de [Institute of Mathematics, Johannes Gutenberg University, 55099 Mainz (Germany)

2015-12-15

In this work, we develop a probabilistic estimator for the voltage-to-current map arising in electrical impedance tomography. This novel so-called partially reflecting random walk on spheres estimator enables Monte Carlo methods to compute the voltage-to-current map in an embarrassingly parallel manner, which is an important issue with regard to the corresponding inverse problem. Our method uses the well-known random walk on spheres algorithm inside subdomains where the diffusion coefficient is constant and employs replacement techniques motivated by finite difference discretization to deal with both mixed boundary conditions and interface transmission conditions. We analyze the global bias and the variance of the new estimator both theoretically and experimentally. Subsequently, the variance of the new estimator is considerably reduced via a novel control variate conditional sampling technique which yields a highly efficient hybrid forward solver coupling probabilistic and deterministic algorithms.

Optimization of partial search

International Nuclear Information System (INIS)

Korepin, Vladimir E

2005-01-01

A quantum Grover search algorithm can find a target item in a database faster than any classical algorithm. One can trade accuracy for speed and find a part of the database (a block) containing the target item even faster; this is partial search. A partial search algorithm was recently suggested by Grover and Radhakrishnan. Here we optimize it. Efficiency of the search algorithm is measured by the number of queries to the oracle. The author suggests a new version of the Grover-Radhakrishnan algorithm which uses a minimal number of such queries. The algorithm can run on the same hardware that is used for the usual Grover algorithm. (letter to the editor)

A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm

Directory of Open Access Journals (Sweden)

Yu-Pei Huang

2018-01-01

Full Text Available This paper proposes a modified maximum power point tracking (MPPT algorithm for photovoltaic systems under rapidly changing partial shading conditions (PSCs. The proposed algorithm integrates a genetic algorithm (GA and the firefly algorithm (FA and further improves its calculation process via a differential evolution (DE algorithm. The conventional GA is not advisable for MPPT because of its complicated calculations and low accuracy under PSCs. In this study, we simplified the GA calculations with the integration of the DE mutation process and FA attractive process. Results from both the simulation and evaluation verify that the proposed algorithm provides rapid response time and high accuracy due to the simplified processing. For instance, evaluation results demonstrate that when compared to the conventional GA, the execution time and tracking accuracy of the proposed algorithm can be, respectively, improved around 69.4% and 4.16%. In addition, in comparison to FA, the tracking speed and tracking accuracy of the proposed algorithm can be improved around 42.9% and 1.85%, respectively. Consequently, the major improvement of the proposed method when evaluated against the conventional GA and FA is tracking speed. Moreover, this research provides a framework to integrate multiple nature-inspired algorithms for MPPT. Furthermore, the proposed method is adaptable to different types of solar panels and different system formats with specifically designed equations, the advantages of which are rapid tracking speed with high accuracy under PSCs.

Optimization of single channel glazed photovoltaic thermal (PVT) array using Evolutionary Algorithm (EA) and carbon credit earned by the optimized array

International Nuclear Information System (INIS)

Singh, Sonveer; Agrawal, Sanjay; Gadh, Rajit

2015-01-01

Highlights: • Optimization of SCGPVT array using Evolutionary Algorithm. • The overall exergy gain is maximized with an Evolutionary Algorithm. • Annual Performance has been evaluated for New Delhi (India). • There are improvement in results than the model given in literature. • Carbon credit analysis has been done. - Abstract: In this paper, work is carried out in three steps. In the first step, optimization of single channel glazed photovoltaic thermal (SCGPVT) array has been done with an Evolutionary Algorithm (EA) keeping the overall exergy gain is an objective function of the SCGPVT array. For maximization of overall exergy gain, total seven design variables have been optimized such as length of the channel (L), mass flow rate of flowing fluid (m_F), velocity of flowing fluid (V_F), convective heat transfer coefficient through the tedlar (U_T), overall heat transfer coefficient between solar cell to ambient through glass cover (U_S_C_A_G), overall back loss heat transfer coefficient from flowing fluid to ambient (U_F_A) and convective heat transfer coefficient of tedlar (h_T). It has been observed that the instant overall exergy gain obtained from optimized system is 1.42 kW h, which is 87.86% more than the overall exergy gain of a un-optimized system given in literature. In the second step, overall exergy gain and overall thermal gain of SCGPVT array has been evaluated annually and there are 69.52% and 88.05% improvement in annual overall exergy gain and annual overall thermal gain respectively than the un-optimized system for the same input irradiance and ambient temperature. In the third step, carbon credit earned by the optimized SCGPVT array has also been evaluated as per norms of Kyoto Protocol Bangalore climatic conditions.

A dynamical regularization algorithm for solving inverse source problems of elliptic partial differential equations

Science.gov (United States)

Zhang, Ye; Gong, Rongfang; Cheng, Xiaoliang; Gulliksson, Mårten

2018-06-01

This study considers the inverse source problem for elliptic partial differential equations with both Dirichlet and Neumann boundary data. The unknown source term is to be determined by additional boundary conditions. Unlike the existing methods found in the literature, which usually employ the first-order in time gradient-like system (such as the steepest descent methods) for numerically solving the regularized optimization problem with a fixed regularization parameter, we propose a novel method with a second-order in time dissipative gradient-like system and a dynamical selected regularization parameter. A damped symplectic scheme is proposed for the numerical solution. Theoretical analysis is given for both the continuous model and the numerical algorithm. Several numerical examples are provided to show the robustness of the proposed algorithm.

Retailer's inventory system in a two-level trade credit financing with selling price discount and partial order cancelations

Science.gov (United States)

Thangam, A.

2015-06-01

In today's fast marketing over the Internet or online, many retailers want to trade at the same time and change their marketing strategy to attract more customers. Some of the customers may decide to cancel their orders partially with a retailer due to various reasons such as increase in customer's waiting time, loss of customer's goodwill on retailer's business, attractive promotional schemes offered by other retailers etc. Even though there is a lag in trading and order cancelation, this paper attempts to develop the retailer's inventory model with the effect of order cancelations during advance sales period. The retailer announces a price discount program during advance sales period to promote his sales and also he offers trade credit financing during the sales periods. The retailer availing trade credit period from his supplier offers a permissible delay period to his customers. The customer who gets an item has allowed paying on or before the permissible delay period which is accounted from the buying time rather than the start period of inventory sales. This accounts for significant changes in the calculations of interest payable and interest earned by the retailer. The retailer's total cost is minimized so as to find out the optimal replenishment cycle time and price discount policies through a solution procedure. The results derived in mathematical theorems are implemented in numerical examples and sensitivity analyses on several inventory parameters are obtained.

Retailer's inventory system in a two-level trade credit financing with selling price discount and partial order cancellations

Science.gov (United States)

Thangam, A.

2014-02-01

In today's fast marketing over the Internet or online, many retailers want to trade at the same time and change their marketing strategy to attract more customers. Some of the customers may decide to cancel their orders partially with a retailer due to various reasons such as increase in customer's waiting time, loss of customer's goodwill on retailer's business, and attractive promotional schemes offered by other retailers. Even though there is a lag in trading and order cancellation, this paper attempts to develop the retailer's inventory model with the effect of order cancellations during advance sales period. The retailer announces a price discount program during advance sales period to promote his sales and also offers trade credit financing during the sales periods. The retailer availing trade credit period from his supplier offers a permissible delay period to his customers. The customer who gets an item is allowed to pay on or before the permissible delay period which is accounted from the buying time rather than from the start period of inventory sales. This accounts for significant changes in the calculations of interest payable and interest earned by the retailer. The retailer's total cost is minimized so as to find out the optimal replenishment cycle time and price discount policies through a solution procedure. The results derived in mathematical theorems are implemented in numerical examples, and sensitivity analyses on several inventory parameters are obtained.

Item and response-category functioning of the Persian version of the KIDSCREEN-27: Rasch partial credit model

Directory of Open Access Journals (Sweden)

Jafari Peyman

2012-10-01

Full Text Available Abstract Background The purpose of the study was to determine whether the Persian version of the KIDSCREEN-27 has the optimal number of response category to measure health-related quality of life (HRQoL in children and adolescents. Moreover, we aimed to determine if all the items contributed adequately to their own domain. Findings The Persian version of the KIDSCREEN-27 was completed by 1083 school children and 1070 of their parents. The Rasch partial credit model (PCM was used to investigate item statistics and ordering of response categories. The PCM showed that no item was misfitting. The PCM also revealed that, successive response categories for all items were located in the expected order except for category 1 in self- and proxy-reports. Conclusions Although Rasch analysis confirms that all the items belong to their own underlying construct, response categories should be reorganized and evaluated in further studies, especially in children with chronic conditions.

12 CFR Appendix to Part 215 - Section 5200 of the Revised Statutes Total Loans and Extensions of Credit

Science.gov (United States)

2010-01-01

... extensions of credit and not upon any full or partial recourse endorsement or guarantee by the transferor... Loans and Extensions of Credit Appendix to Part 215 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... Statutes Total Loans and Extensions of Credit (a)(1) The total loans and extensions of credit by a national...

A Global Optimizing Policy for Decaying Items with Ramp-Type Demand Rate under Two-Level Trade Credit Financing Taking Account of Preservation Technology

Directory of Open Access Journals (Sweden)

S. R. Singh

2013-01-01

Full Text Available An inventory system for deteriorating items, with ramp-type demand rate, under two-level trade credit policy taking account of preservation technology is considered. The objective of this study is to develop a deteriorating inventory policy when the supplier provides to the retailer a permissible delay in payments, and during this credit period, the retailer accumulates the revenue and earns interest on that revenue; also the retailer invests on the preservation technology to reduce the rate of product deterioration. Shortages are allowed and partially backlogged. Sufficient conditions of the existence and uniqueness of the optimal replenishment policy are provided, and an algorithm, for its determination, is proposed. Numerical examples draw attention to the obtained results, and the sensitivity analysis of the optimal solution with respect to leading parameters of the system is carried out.

Using discriminant analysis for credit decision

Directory of Open Access Journals (Sweden)

Gheorghiţa DINCĂ

2015-12-01

Full Text Available This paper follows to highlight the link between the results obtained applying discriminant analysis and lending decision. For this purpose, we have carried out the research on a sample of 24 Romanian private companies, pertaining to 12 different economic sectors, from I and II categories of Bucharest Stock Exchange, for the period 2010-2012. Our study works with two popular bankruptcy risk’s prediction models, the Altman model and the Anghel model. We have double-checked and confirmed the results of our research by comparing the results from applying the two fore-mentioned models as well as by checking existing debt commitments of each analyzed company to credit institutions during the 2010-2012 period. The aim of this paper was the classification of studied companies into potential bankrupt and non-bankrupt, to assist credit institutions in their decision to grant credit, understanding the approval or rejection algorithm of loan applications and even help potential investors in these ompanies.

MODELING CREDIT RISK THROUGH CREDIT SCORING

OpenAIRE

Adrian Cantemir CALIN; Oana Cristina POPOVICI

2014-01-01

Credit risk governs all financial transactions and it is defined as the risk of suffering a loss due to certain shifts in the credit quality of a counterpart. Credit risk literature gravitates around two main modeling approaches: the structural approach and the reduced form approach. In addition to these perspectives, credit risk assessment has been conducted through a series of techniques such as credit scoring models, which form the traditional approach. This paper examines the evolution of...

Iterative Observer-based Estimation Algorithms for Steady-State Elliptic Partial Differential Equation Systems

KAUST Repository

Majeed, Muhammad Usman

2017-07-19

Steady-state elliptic partial differential equations (PDEs) are frequently used to model a diverse range of physical phenomena. The source and boundary data estimation problems for such PDE systems are of prime interest in various engineering disciplines including biomedical engineering, mechanics of materials and earth sciences. Almost all existing solution strategies for such problems can be broadly classified as optimization-based techniques, which are computationally heavy especially when the problems are formulated on higher dimensional space domains. However, in this dissertation, feedback based state estimation algorithms, known as state observers, are developed to solve such steady-state problems using one of the space variables as time-like. In this regard, first, an iterative observer algorithm is developed that sweeps over regular-shaped domains and solves boundary estimation problems for steady-state Laplace equation. It is well-known that source and boundary estimation problems for the elliptic PDEs are highly sensitive to noise in the data. For this, an optimal iterative observer algorithm, which is a robust counterpart of the iterative observer, is presented to tackle the ill-posedness due to noise. The iterative observer algorithm and the optimal iterative algorithm are then used to solve source localization and estimation problems for Poisson equation for noise-free and noisy data cases respectively. Next, a divide and conquer approach is developed for three-dimensional domains with two congruent parallel surfaces to solve the boundary and the source data estimation problems for the steady-state Laplace and Poisson kind of systems respectively. Theoretical results are shown using a functional analysis framework, and consistent numerical simulation results are presented for several test cases using finite difference discretization schemes.

An EOQ model of time quadratic and inventory dependent demand for deteriorated items with partially backlogged shortages under trade credit

Science.gov (United States)

Singh, Pushpinder; Mishra, Nitin Kumar; Singh, Vikramjeet; Saxena, Seema

2017-07-01

In this paper a single buyer, single supplier inventory model with time quadratic and stock dependent demand for a finite planning horizon has been studied. Single deteriorating item which suffers shortage, with partial backlogging and some lost sales is considered. Model is divided into two scenarios, one with non permissible delay in payment and other with permissible delay in payment. Latter is called, centralized system, where supplier offers trade credit to retailer. In the centralized system cost saving is shared amongst the two. The objective is to study the difference in minimum costs borne by retailer and supplier, under two scenarios including the above mentioned parameters. To obtain optimal solution of the problem the model is solved analytically. Numerical example and a comparative study are then discussed supported by sensitivity analysis of each parameter.

29 CFR 4206.7 - Amount of credit in plans using the direct attribution method.

Science.gov (United States)

2010-07-01

... TO A PARTIAL WITHDRAWAL § 4206.7 Amount of credit in plans using the direct attribution method. In a plan that uses the direct attribution allocation method described in section 4211(c)(4) of ERISA, the... 29 Labor 9 2010-07-01 2010-07-01 false Amount of credit in plans using the direct attribution...

Baseline correction combined partial least squares algorithm and its application in on-line Fourier transform infrared quantitative analysis.

Science.gov (United States)

Peng, Jiangtao; Peng, Silong; Xie, Qiong; Wei, Jiping

2011-04-01

In order to eliminate the lower order polynomial interferences, a new quantitative calibration algorithm "Baseline Correction Combined Partial Least Squares (BCC-PLS)", which combines baseline correction and conventional PLS, is proposed. By embedding baseline correction constraints into PLS weights selection, the proposed calibration algorithm overcomes the uncertainty in baseline correction and can meet the requirement of on-line attenuated total reflectance Fourier transform infrared (ATR-FTIR) quantitative analysis. The effectiveness of the algorithm is evaluated by the analysis of glucose and marzipan ATR-FTIR spectra. BCC-PLS algorithm shows improved prediction performance over PLS. The root mean square error of cross-validation (RMSECV) on marzipan spectra for the prediction of the moisture is found to be 0.53%, w/w (range 7-19%). The sugar content is predicted with a RMSECV of 2.04%, w/w (range 33-68%). Copyright © 2011 Elsevier B.V. All rights reserved.

A Simple Checking Algorithm with Perturb and Observe Maximum Power Point Tracking for Partially Shaded Photovoltaic System

Directory of Open Access Journals (Sweden)

Rozana Alik

2016-03-01

Full Text Available This paper presents a simple checking algorithm for maximum power point tracking (MPPT technique for Photovoltaic (PV system using Perturb and Observe (P&O algorithm. The main benefit of this checking algorithm is the simplicity and efficiency of the system whose duty cycle produced by the MPPT is smoother and changes faster according to maximum power point (MPP. This checking algorithm can determine the maximum power first before the P&O algorithm takes place to identify the voltage at MPP (VMPP, which is needed to calculate the duty cycle for the boost converter. To test the effectiveness of the algorithm, a simulation model of PV system has been carried out using MATLAB/Simulink under different level of irradiation; or in other words partially shaded condition of PV array. The results from the system using the proposed approach prove to have faster response and low ripple. Besides, the results are close to the desired outputs and exhibit an approximately 98.25% of the system efficiency. On the other hand, the system with conventional P&O MPPT seems to be unstable and has higher percentage of error. In summary, the proposed method is useful under varying level of irradiation with higher efficiency of the system.

A simple algorithm for subregional striatal uptake analysis with partial volume correction in dopaminergic PET imaging

International Nuclear Information System (INIS)

Lue Kunhan; Lin Hsinhon; Chuang Kehshih; Kao Chihhao, K.; Hsieh Hungjen; Liu Shuhsin

2014-01-01

In positron emission tomography (PET) of the dopaminergic system, quantitative measurements of nigrostriatal dopamine function are useful for differential diagnosis. A subregional analysis of striatal uptake enables the diagnostic performance to be more powerful. However, the partial volume effect (PVE) induces an underestimation of the true radioactivity concentration in small structures. This work proposes a simple algorithm for subregional analysis of striatal uptake with partial volume correction (PVC) in dopaminergic PET imaging. The PVC algorithm analyzes the separate striatal subregions and takes into account the PVE based on the recovery coefficient (RC). The RC is defined as the ratio of the PVE-uncorrected to PVE-corrected radioactivity concentration, and is derived from a combination of the traditional volume of interest (VOI) analysis and the large VOI technique. The clinical studies, comprising 11 patients with Parkinson's disease (PD) and 6 healthy subjects, were used to assess the impact of PVC on the quantitative measurements. Simulations on a numerical phantom that mimicked realistic healthy and neurodegenerative situations were used to evaluate the performance of the proposed PVC algorithm. In both the clinical and the simulation studies, the striatal-to-occipital ratio (SOR) values for the entire striatum and its subregions were calculated with and without PVC. In the clinical studies, the SOR values in each structure (caudate, anterior putamen, posterior putamen, putamen, and striatum) were significantly higher by using PVC in contrast to those without. Among the PD patients, the SOR values in each structure and quantitative disease severity ratings were shown to be significantly related only when PVC was used. For the simulation studies, the average absolute percentage error of the SOR estimates before and after PVC were 22.74% and 1.54% in the healthy situation, respectively; those in the neurodegenerative situation were 20.69% and 2

Partially linearized algorithms in gyrokinetic particle simulation

Energy Technology Data Exchange (ETDEWEB)

Dimits, A.M.; Lee, W.W.

1990-10-01

In this paper, particle simulation algorithms with time-varying weights for the gyrokinetic Vlasov-Poisson system have been developed. The primary purpose is to use them for the removal of the selected nonlinearities in the simulation of gradient-driven microturbulence so that the relative importance of the various nonlinear effects can be assessed. It is hoped that the use of these procedures will result in a better understanding of the transport mechanisms and scaling in tokamaks. Another application of these algorithms is for the improvement of the numerical properties of the simulation plasma. For instance, implementations of such algorithms (1) enable us to suppress the intrinsic numerical noise in the simulation, and (2) also make it possible to regulate the weights of the fast-moving particles and, in turn, to eliminate the associated high frequency oscillations. Examples of their application to drift-type instabilities in slab geometry are given. We note that the work reported here represents the first successful use of the weighted algorithms in particle codes for the nonlinear simulation of plasmas.

Partially linearized algorithms in gyrokinetic particle simulation

International Nuclear Information System (INIS)

Dimits, A.M.; Lee, W.W.

1990-10-01

In this paper, particle simulation algorithms with time-varying weights for the gyrokinetic Vlasov-Poisson system have been developed. The primary purpose is to use them for the removal of the selected nonlinearities in the simulation of gradient-driven microturbulence so that the relative importance of the various nonlinear effects can be assessed. It is hoped that the use of these procedures will result in a better understanding of the transport mechanisms and scaling in tokamaks. Another application of these algorithms is for the improvement of the numerical properties of the simulation plasma. For instance, implementations of such algorithms (1) enable us to suppress the intrinsic numerical noise in the simulation, and (2) also make it possible to regulate the weights of the fast-moving particles and, in turn, to eliminate the associated high frequency oscillations. Examples of their application to drift-type instabilities in slab geometry are given. We note that the work reported here represents the first successful use of the weighted algorithms in particle codes for the nonlinear simulation of plasmas

An application of data mining classification and bi-level programming for optimal credit allocation

Directory of Open Access Journals (Sweden)

Seyed Mahdi Sadatrasou

2015-01-01

Full Text Available This paper investigates credit allocation policy making and its effect on economic development using bi-level programming. There are two challenging problems in bi-level credit allocation; at the first level government/public related institutes must allocate the credit strategically concerning sustainable development to regions and industrial sectors. At the second level, there are agent banks, which should allocate the credit tactically to individual applicants based on their own profitability and risk using their credit scoring models. There is a conflict of interest between these two stakeholders but the cooperation is inevitable. In this paper, a new bi-level programming formulation of the leader-follower game in association with sustainable development theory in the first level and data mining classifier at the second level is used to mathematically model the problem. The model is applied to a national development fund (NDF as a government related organization and one of its agent banks. A new algorithm called Bi-level Genetic fuzzy apriori Algorithm (BGFAA is introduced to solve the bilateral model. Experimental results are presented and compared with a unilateral policy making scenario by the leader. Findings show that although the objective functions of the leader are worse in the bilateral scenario but agent banks collaboration is attracted and guaranteed.

Credit-proofing fundamentals for a solid credit policy

Energy Technology Data Exchange (ETDEWEB)

Lydiatt, I. [KeySpan Energy Canada, Calgary, AB (Canada)

2003-07-01

This Power Point presentation presented the basics of a credit policy with reference to corporate objectives, governance, credit definitions, subjective/objective elements, quantification of full risk, management, monitoring, reporting and gate-keeping processes. Options for a credit policy were described as being approval authority grids, confidentiality issues, credit scoring, corporate risk levels, follow-up collection calling, and procedures on unapproved exposures. Recommendations for setting risk and credit limits were also presented with a note emphasizing that in the past 6 months credit evaluation processes have had to deal with the media risk, a new risk that has not been seen before. This risk can be addressed by careful monitoring of stock prices. The paper also presented recommendations for what to look for as indicators and how to deal with risk in volatile price periods. Credit tools for volatile times were described. 1 tab.

Credit-proofing fundamentals for a solid credit policy

International Nuclear Information System (INIS)

Lydiatt, I.

2003-01-01

This Power Point presentation presented the basics of a credit policy with reference to corporate objectives, governance, credit definitions, subjective/objective elements, quantification of full risk, management, monitoring, reporting and gate-keeping processes. Options for a credit policy were described as being approval authority grids, confidentiality issues, credit scoring, corporate risk levels, follow-up collection calling, and procedures on unapproved exposures. Recommendations for setting risk and credit limits were also presented with a note emphasizing that in the past 6 months credit evaluation processes have had to deal with the media risk, a new risk that has not been seen before. This risk can be addressed by careful monitoring of stock prices. The paper also presented recommendations for what to look for as indicators and how to deal with risk in volatile price periods. Credit tools for volatile times were described. 1 tab

A survey of parallel multigrid algorithms

Science.gov (United States)

Chan, Tony F.; Tuminaro, Ray S.

1987-01-01

A typical multigrid algorithm applied to well-behaved linear-elliptic partial-differential equations (PDEs) is described. Criteria for designing and evaluating parallel algorithms are presented. Before evaluating the performance of some parallel multigrid algorithms, consideration is given to some theoretical complexity results for solving PDEs in parallel and for executing the multigrid algorithm. The effect of mapping and load imbalance on the partial efficiency of the algorithm is studied.

Impact of Economic Crisis on Credit Insurance Market in Romania

Directory of Open Access Journals (Sweden)

Florina VÎRLANUTA

2012-11-01

Full Text Available Bank Insurance phenomenon can not be attributed primarily or banks or insurance institutions. Near the two sectors was due to mutations occurring in supply and demand for financial services. Convergence bankers and insurers are determined by common platform for each country of local influence by supervisors and reforms at the central level. Credit insurance has emerged as a necessity stemming from the fact that most trade agreements concluded in circumstances in which payment is partially or completely after delivery of the goods or services covered by the agreement, so the payment delayed or selling on credit.

Methodology for construction compliance monitoring in the crediting of investment projects for road construction

Science.gov (United States)

Vaynshtok, Natalia

2017-10-01

The article provides the results of development of the methodology for construction compliance monitoring in the crediting of investment projects for road construction. Work scope analysis of construction audit was conducted and an algorithm of financial audit in the crediting investment projects was developed. Furthermore, the possible pitfalls and abuses of counterparties were investigated and recommendations were given allowing the bank to receive objective and independent information on the progress of the project in real time. This mechanism is useful for the bank in insurance of possible risks, targeted and rational use of credit funds.

CO2 credit or energy credit in emission trading?

International Nuclear Information System (INIS)

Hu, E.

2002-01-01

Emission trading is a good concept and approach to tackle global warming. However, what ''currency'' or ''credit'' should be used in the trading has remained a debatable topic. This paper proposed an ''Energy Credit'' concept as an alternative to the ''CO 2 credit'' that is currently in place. From the thermodynamic point of view, the global warming problem is an ''energy balance'' problem. The energy credit concept is thought to be more thermodynamically correct and tackles the core of the global warming problem more directly. The Energy credit concept proposed can be defined as: the credit to offset the extra energy trapped/absorbed in the earth (and its atmosphere) due to the extra anthropogenic emission (or other activities) by a country or company. A couple of examples are given in the paper to demonstrate the concept of the Energy credit and its advantages over the CO 2 credit concept. (author)

LETTER TO THE EDITOR: Optimization of partial search

Science.gov (United States)

Korepin, Vladimir E.

2005-11-01

A quantum Grover search algorithm can find a target item in a database faster than any classical algorithm. One can trade accuracy for speed and find a part of the database (a block) containing the target item even faster; this is partial search. A partial search algorithm was recently suggested by Grover and Radhakrishnan. Here we optimize it. Efficiency of the search algorithm is measured by the number of queries to the oracle. The author suggests a new version of the Grover-Radhakrishnan algorithm which uses a minimal number of such queries. The algorithm can run on the same hardware that is used for the usual Grover algorithm.

Partial Evaluation of the Euclidian Algorithm

DEFF Research Database (Denmark)

Danvy, Olivier; Goldberg, Mayer

1997-01-01

Some programs are easily amenable to partial evaluation because their control flow clearly depends on one of their parameters. Specializing such programs with respect to this parameter eliminates the associated interpretive overhead. Some other programs, however, do not exhibit this interpreter-l...

Supply Chain Model with Stochastic Lead Time, Trade-Credit Financing, and Transportation Discounts

Directory of Open Access Journals (Sweden)

Sung Jun Kim

2017-01-01

Full Text Available This model extends a two-echelon supply chain model by considering the trade-credit policy, transportations discount to make a coordination mechanism between transportation discounts, trade-credit financing, number of shipments, quality improvement of products, and reduced setup cost in such a way that the total cost of the whole system can be reduced, where the supplier offers trade-credit-period to the buyer. For buyer, the backorder rate is considered as variable. There are two investments to reduce setup cost and to improve quality of products. The model assumes lead time-dependent backorder rate, where the lead time is stochastic in nature. By using the trade-credit policy, the model gives how the credit-period would be determined to achieve the win-win outcome. An iterative algorithm is designed to obtain the global optimum results. Numerical example and sensitivity analysis are given to illustrate the model.

Penskalaan Butir Format Respons Pilihan dan Respons Bebas Berdasarkan Model Rasch dan Partial Credit

Directory of Open Access Journals (Sweden)

Eko Hariadi

2007-06-01

Full Text Available Penelitian melihat pengaruh jumlah parameter butir, kategori respons bebas (RB, pengaruh sampel terhadap akurasi estimasi parameter kemampuan untuk menghasilkan estimasi yang stabil dan pengaruh pembobotan butir RP dan butir RB terhadap kesalahan baku. Penelitian dalam dua tahap, simulasi menggunakan 30 kondisi dengan replikasi 50 dengan variabel panjang tes, jumlah kategori, dan jumlah parameter butir, dan analisis deskriptif, dilanjutkan penerapan penskalaan gabungan butir tipe respons pilihan (rp dan butir respons bebas (rb pada konstruksi tes elektronika yang terdiri 40 butir pilihan ganda dan 4 butir jawaban tersusun, 3 butir memiliki lima kategori jawaban dan 1 butir dengan 4 kategori jawaban, melibatkan 355 siswa. Hasil penelitian menunjukkan: ukuran sampel kurang berpengaruh pada root mean square error atau (RSME> dan korelasi antara 9 dengan 0, namun berpengaruh terhadap akurasi estimasi parameter butir pilihan ganda (/>/y,dan parameter butir respons tersusun (3^- Jumlah parameter butir berpengaruh terhadap parameter kemampuan, tetapi tidak berpengaruh terhadap akurasi dari b^, dan S„,. Estimasi dari parameter tingkat kesulitan butir jawaban tersusun tiga kategori lebih akurat daripada butir jawaban tersusun lima kategori. Estimasi tahan {robust untuk parameter kesulitan butir jawaban tersusun 5 kategori memerlukan sampel minimal 250 responden, sedangkan untuk butir respons tersusun 3 kategori memerlukan sampel minimal 100 responden. Estimasi parameter kemampuan dari skor total (0^^ tidak sama dengan rata-rata jumlah tbeta dari masing-masing subtes (0^ + 0CR. Theta dari tes yang dikalibrasi bersama-sama berbeda dengan theta dari total subtes yang dikalibrasi secara terpisah. Korelasi kemampuan yang mengunakan pembobotan dan kemampuan tanpa pembobotan mempunyai suatu rentang dari 0,988 sampai 0,948. Kata kunci: penyekaiaan, model rash dan partial credit.

Equivalent construction of the infinitesimal time translation operator in algebraic dynamics algorithm for partial differential evolution equation

Institute of Scientific and Technical Information of China (English)

无

2010-01-01

We give an equivalent construction of the infinitesimal time translation operator for partial differential evolution equation in the algebraic dynamics algorithm proposed by Shun-Jin Wang and his students. Our construction involves only simple partial differentials and avoids the derivative terms of δ function which appear in the course of computation by means of Wang-Zhang operator. We prove Wang’s equivalent theorem which says that our construction and Wang-Zhang’s are equivalent. We use our construction to deal with several typical equations such as nonlinear advection equation, Burgers equation, nonlinear Schrodinger equation, KdV equation and sine-Gordon equation, and obtain at least second order approximate solutions to them. These equations include the cases of real and complex field variables and the cases of the first and the second order time derivatives.

Generalized-ensemble molecular dynamics and Monte Carlo algorithms beyond the limit of the multicanonical algorithm

International Nuclear Information System (INIS)

Okumura, Hisashi

2010-01-01

I review two new generalized-ensemble algorithms for molecular dynamics and Monte Carlo simulations of biomolecules, that is, the multibaric–multithermal algorithm and the partial multicanonical algorithm. In the multibaric–multithermal algorithm, two-dimensional random walks not only in the potential-energy space but also in the volume space are realized. One can discuss the temperature dependence and pressure dependence of biomolecules with this algorithm. The partial multicanonical simulation samples a wide range of only an important part of potential energy, so that one can concentrate the effort to determine a multicanonical weight factor only on the important energy terms. This algorithm has higher sampling efficiency than the multicanonical and canonical algorithms. (review)

Review of Research on Credit Risk Management for Rural Credit Cooperatives

Directory of Open Access Journals (Sweden)

Xin Song

2017-03-01

Full Text Available With the rapid development of rural micro-credit, whether the qagriculture, rural areas and farmersq problems have been effectively solved, whether the credit risk has been effectively controlled, these have become the focus of our attention to the rural economic environment. The main content of this paper contains four aspects: the classification and characteristics of credit risk, the problems and factors of credit risk, the model and evaluation of credit risk, the countermeasures and suggestions of credit risk. This paper reviews the research of credit risk management for rural credit cooperatives from the above four aspects, and makes a brief summary.

Benefits of actinide-only burnup credit for shutdown PWRs

International Nuclear Information System (INIS)

Lancaster, D.; Fuentes, E.; Kang, C.; Rivard, D.

1998-02-01

Owners of PWRs that are shutdown prior to resolution of interim storage or permanent disposal issues have to make difficult decisions on what to do with their spent fuel. Maine Yankee is currently evaluating multiple options for spent fuel storage. Their spent fuel pool has 1,434 assemblies. In order to evaluate the value to a utility of actinide-only burnup credit, analysis of the number of canisters required with and without burnup credit was made. In order to perform the analysis, loading curves were developed for the Holtec Hi-Star 100/MPC-32. The MPC-32 is hoped to be representative of future burnup credit designs from many vendors. The loading curves were generated using the actinide-only burnup credit currently under NRC review. The canister was analyzed for full loading (32 assemblies) and with partial loadings of 30 and 28 assemblies. If no burnup credit is used the maximum capacity was assumed to be 24 assemblies. this reduced capacity is due to the space required for flux traps which are needed to sufficiently reduce the canister reactivity for the fresh fuel assumption. Without burnup credit the 1,343 assemblies would require 60 canisters. If all the fuel could be loaded into the 32 assembly canisters only 45 canisters would be required. Although the actinide-only burnup credit approach is very conservative, the total number of canisters required is only 47 which is only two short of the minimum possible number of canisters. The utility is expected to buy the canister and the storage overpack. A reasonable cost estimate for the canister plus overpack is $500,000. Actinide-only burnup credit would save 13 canisters and overpacks which is a savings of about $6.5 million. This savings is somewhat reduced since burnup credit requires a verification measurement of burnup. The measurement costs for these assemblies can be estimated as about $1 million. The net savings would be $5.5 million

Measuring positive and negative affect in older adults over 56 days: comparing trait level scoring methods using the partial credit model.

Science.gov (United States)

Erbacher, Monica K; Schmidt, Karen M; Boker, Steven M; Bergeman, Cindy S

2012-01-01

Positive (PA) and negative affect (NA) are important constructs in health and well-being research. Good longitudinal measurement is crucial to conducting meaningful research on relationships between affect, health, and well-being across the lifespan. One common affect measure, the PANAS, has been evaluated thoroughly with factor analysis, but not with Racsh-based latent trait models (RLTMs) such as the Partial Credit Model (PCM), and not longitudinally. Current longitudinal RLTMs can computationally handle few occasions of data. The present study compares four methods of anchoring PCMs across 56 occasions to longitudinally evaluate the psychometric properties of the PANAS plus additional items. Anchoring item parameters on mean parameter values across occasions produced more desirable results than using no anchor, using first occasion parameters as anchors, or allowing anchor values to vary across occasions. Results indicated problems with NA items, including poor category utilization, gaps in the item distribution, and a lack of easy-to-endorse items. PA items had much more desirable psychometric qualities.

Credit concession through credit scoring: Analysis and application proposal

Directory of Open Access Journals (Sweden)

Oriol Amat

2017-01-01

Full Text Available Purpose: The study herein develops and tests a credit scoring model which can help financial institutions in assessing credit requests.  Design/methodology/approach: The empirical study has the objective of answering two questions: (1 Which ratios better discriminate the companies based on their being solvent or insolvent? and (2 What is the relative importance of these ratios? To do this, several statistical techniques with a multifactorial focus have been used (Multivariate Analysis of Variance, Linear Discriminant Analysis, Logit and Probit Models. Several samples of companies have been used in order to obtain and to test the model.  Findings: Through the application of several statistical techniques, the credit scoring model has been proved to be effective in discriminating between good and bad creditors.  Research limitations:  This study focuses on manufacturing, commercial and services companies of all sizes in Spain; Therefore, the conclusions may differ for other geographical locations. Practical implications:  Because credit is one of the main drivers of growth, a solid credit scoring model can help financial institutions assessing to whom to grant credit and to whom not to grant credit. Social implications: Because of the growing importance of credit for our society and the fear of granting it due to the latest financial turmoil, a solid credit scoring model can strengthen the trust toward the financial institutions assessment’s.  Originality/value: There is already a stream of literature related to credit scoring. However, this paper focuses on Spanish firms and proves the results of our model based on real data. The application of the model to detect the probability of default in loans is original.

Credit Monitoring – a Core of Credit Risk Management: Theory and Experience

Directory of Open Access Journals (Sweden)

Daiva Jurevičienė

2013-11-01

Full Text Available Purpose of the article: Purpose of the article is to identify credit monitoring as a keystone of credit risk management in banks. CRM is widely discussed in scientific literature and in reports of institutions undertaking credit risk or supervisory bodies. However majority of such investigations are based on implementation of numerous quantitative or qualitative methods used for credit risk assessment before granting a loan or for credit portfolio risk management. There is a lack of information or investigations made on estimation of the need of credit monitoring in credit risk management process. Scientific aim: Scientific aim is to structure the early warning signs that reflect the condition of credits. Methodology/methods: The paper is based on analysis and resumption of various scientific and professional articles related to organization of credit process in banks. It combines results of assessments of credit monitoring importance in credit risk management process made by theoretical studies as well as investigation of experts. Findings: Finding of the article is presentation of credit monitoring tools that should be applied for corporate (and individual clients via modification of original credit agreement. Conclusions: (limits, implications etc Conclusion of the article is that credit monitoring is a keystone in credit risk management process. The purpose of credit monitoring is to detect in time possible worsening of the loan and to react (make changes in loan agreement. The simplest tool for credit monitoring is to identify early warning signs in time that could be assorted into four groups: EWS of business environment; EWS with regard to management, EWS regarding collateral, EWS in financial analysis. Limitation of investigation is impossibility of evaluation of importance of monitoring process in practice except investigation of experts (employees directly responsible for credit business.

Credit scoring using ensemble of various classifiers on reduced feature set

Directory of Open Access Journals (Sweden)

Dahiya Shashi

2015-01-01

Full Text Available Credit scoring methods are widely used for evaluating loan applications in financial and banking institutions. Credit score identifies if applicant customers belong to good risk applicant group or a bad risk applicant group. These decisions are based on the demographic data of the customers, overall business by the customer with bank, and loan payment history of the loan applicants. The advantages of using credit scoring models include reducing the cost of credit analysis, enabling faster credit decisions and diminishing possible risk. Many statistical and machine learning techniques such as Logistic Regression, Support Vector Machines, Neural Networks and Decision tree algorithms have been used independently and as hybrid credit scoring models. This paper proposes an ensemble based technique combining seven individual models to increase the classification accuracy. Feature selection has also been used for selecting important attributes for classification. Cross classification was conducted using three data partitions. German credit dataset having 1000 instances and 21 attributes is used in the present study. The results of the experiments revealed that the ensemble model yielded a very good accuracy when compared to individual models. In all three different partitions, the ensemble model was able to classify more than 80% of the loan customers as good creditors correctly. Also, for 70:30 partition there was a good impact of feature selection on the accuracy of classifiers. The results were improved for almost all individual models including the ensemble model.

NCA & Credit Guarantees

African Journals Online (AJOL)

stooppn

purposes of the National Credit Act; what the definition of a credit guarantee set out ...... Scholtz et al National Credit Act in para 8.2.4; Scott et al Law of Commerce ..... Eitelberg E "Autonomy of Documentary Credit Undertakings in South African.

OPTIMUM VOLUME OF BANK RESERVE: FORECASTING OF OVERDUE CREDIT INDEBTEDNESS USING COPULA MODELS

Directory of Open Access Journals (Sweden)

Kazakova K. A.

2015-12-01

Full Text Available The article propose to consider the possibility of RLUF-copulas application for the creation of joint distributions of overdue credit indebtedness ranks with macroeconomic indicators for the purpose of indebtedness forecasting and also for the definition of optimum volumes of reserve requirements for the corresponding losses. In this research the comparative analysis of multivariate distributions of RLUF-copula estimation with such classical copulas, as FGM-copula, Frank's copula and Gauss's copula is made. In the article the method of maximum likelihood is used for receiving estimates of model parameters. In case of RLUF-copula Bayesian estimates of parameters are received using the Metropolis algorithm with random volatility. Forecasting of bank reserve volumes for all received models is executed in the form of random sample generation by the means of the algorithm of acceptance-deviation for the creation of the corresponding sample of joint distribution using the copula density function. As the result of playing of hundred possible scenarios of indebtedness volumes is obtained the 95 % confidence level for the possible volume of credit indebtedness which can fully act as the optimum volume of reserve requirements for the corresponding credit losses.

26 CFR 1.35-1 - Partially tax-exempt interest received by individuals.

Science.gov (United States)

2010-04-01

... 26 Internal Revenue 1 2010-04-01 2010-04-01 true Partially tax-exempt interest received by individuals. 1.35-1 Section 1.35-1 Internal Revenue INTERNAL REVENUE SERVICE, DEPARTMENT OF THE TREASURY INCOME TAX INCOME TAXES Credits Against Tax § 1.35-1 Partially tax-exempt interest received by...

Data mining for assessing the credit risk of local government units in Croatia

Directory of Open Access Journals (Sweden)

Silvija Vlah Jerić

2017-01-01

Full Text Available Over the past few decades, data mining techniques, especially artificial neural networks, have been used for modelling many real-world problems. This paper aims to test the performance of three methods: (1 an artificial neural network (ANN, (2 a hybrid artificial neural network and genetic algorithm approach (ANN-GA, and (2 the Tobit regression approach in determining the credit risk of local government units in Croatia. The evaluation of credit risk and prediction of debtor bankruptcy have long been regarded as an important topic in accounting and finance literature. In this research, credit risk is modelled under a regression approach unlike typical credit risk analysis, which is generally viewed as a classification problem. Namely, a standard evaluation of credit risk is not possible due to a lack of bankruptcy data. Thus, the credit risk of a local unit is approximated using the ratio of outstanding liabilities maturing in a given year to total expenditure of the local unit in the same period. The results indicate that the ANN-GA hybrid approach performs significantly better than the Tobit model by providing a significantly smaller average mean squared error. This work is beneficial to researchers and the government in evaluating a local government unit’s credit score.

Formal and Informal Credit Markets and Rural Credit Demand in China

OpenAIRE

Tang, Sai; Guan, Zhengfei; Jin, Songqing

2010-01-01

Credit markets are an essential economic institution. In developing countries, particularly in countries undergoing rapid social and economic transition, it is important to identify emerging credit demand and institute credit supply in a timely manner to facilitate economic transformation. This research focuses on the evolving rural credit market in China, where borrowing from the social network has been common but the recent economic transition has made this informal credit market inadequate...

A hybrid algorithm for coupling partial differential equation and compartment-based dynamics.

Science.gov (United States)

Harrison, Jonathan U; Yates, Christian A

2016-09-01

Stochastic simulation methods can be applied successfully to model exact spatio-temporally resolved reaction-diffusion systems. However, in many cases, these methods can quickly become extremely computationally intensive with increasing particle numbers. An alternative description of many of these systems can be derived in the diffusive limit as a deterministic, continuum system of partial differential equations (PDEs). Although the numerical solution of such PDEs is, in general, much more efficient than the full stochastic simulation, the deterministic continuum description is generally not valid when copy numbers are low and stochastic effects dominate. Therefore, to take advantage of the benefits of both of these types of models, each of which may be appropriate in different parts of a spatial domain, we have developed an algorithm that can be used to couple these two types of model together. This hybrid coupling algorithm uses an overlap region between the two modelling regimes. By coupling fluxes at one end of the interface and using a concentration-matching condition at the other end, we ensure that mass is appropriately transferred between PDE- and compartment-based regimes. Our methodology gives notable reductions in simulation time in comparison with using a fully stochastic model, while maintaining the important stochastic features of the system and providing detail in appropriate areas of the domain. We test our hybrid methodology robustly by applying it to several biologically motivated problems including diffusion and morphogen gradient formation. Our analysis shows that the resulting error is small, unbiased and does not grow over time. © 2016 The Authors.

SPAM-assisted partial volume correction algorithm for PET

Energy Technology Data Exchange (ETDEWEB)

Cho, Sung Il; Kang, Keon Wook; Lee, Jae Sung; Lee, Dong Soo; Chung, June Key; Soh, Kwang Sup; Lee, Myung Chul [College of Medicine, Seoul National Univ., Seoul (Korea, Republic of)

2000-07-01

A probabilistic atlas of the human brain (Statistical Probability Anatomical Maps: SPAM) was developed by the International Consortium for Brain Mapping (ICBM). It will be a good frame for calculating volume of interest (VOI) according to statistical variability of human brain in many fields of brain images. We show that we can get more exact quantification of the counts in VOI by using SPAM in the correlation of partial volume effect for simulated PET image. The MRI of a patient with dementia was segmented into gray matter and white matter, and then they were smoothed to PET resolution. Simulated PET image was made by adding one third of the smoothed white matter to the smoothed gray matter. Spillover effect and partial volume effect were corrected for this simulated PET image with the aid of the segmented and smoothed MR images. The images were spatially normalized to the average brain MRI atlas of ICBM, and were multiplied by the probablities of 98 VOIs of SPAM images of Montreal Neurological Institute. After the correction of partial volume effect, the counts of frontal, partietal, temporal, and occipital lobes were increased by 38{+-}6%, while those of hippocampus and amygdala by 4{+-}3%. By calculating the counts in VOI using the product of probability of SPAM images and counts in the simulated PET image, the counts increase and become closer to the true values. SPAM-assisted partial volume correction is useful for quantification of VOIs in PET images.

SPAM-assisted partial volume correction algorithm for PET

International Nuclear Information System (INIS)

Cho, Sung Il; Kang, Keon Wook; Lee, Jae Sung; Lee, Dong Soo; Chung, June Key; Soh, Kwang Sup; Lee, Myung Chul

2000-01-01

A probabilistic atlas of the human brain (Statistical Probability Anatomical Maps: SPAM) was developed by the International Consortium for Brain Mapping (ICBM). It will be a good frame for calculating volume of interest (VOI) according to statistical variability of human brain in many fields of brain images. We show that we can get more exact quantification of the counts in VOI by using SPAM in the correlation of partial volume effect for simulated PET image. The MRI of a patient with dementia was segmented into gray matter and white matter, and then they were smoothed to PET resolution. Simulated PET image was made by adding one third of the smoothed white matter to the smoothed gray matter. Spillover effect and partial volume effect were corrected for this simulated PET image with the aid of the segmented and smoothed MR images. The images were spatially normalized to the average brain MRI atlas of ICBM, and were multiplied by the probablities of 98 VOIs of SPAM images of Montreal Neurological Institute. After the correction of partial volume effect, the counts of frontal, partietal, temporal, and occipital lobes were increased by 38±6%, while those of hippocampus and amygdala by 4±3%. By calculating the counts in VOI using the product of probability of SPAM images and counts in the simulated PET image, the counts increase and become closer to the true values. SPAM-assisted partial volume correction is useful for quantification of VOIs in PET images

Refundable Tax Credits

OpenAIRE

Congressional Budget Office

2013-01-01

In 1975, the first refundable tax credit—the earned income tax credit (EITC)—took effect. Since then, the number and cost of refundable tax credits—credits that can result in net payments from the government—have grown considerably. Those credits will cost $149 billion in 2013, CBO estimates, mostly for the EITC and the child tax credit.

On construction of partial association rules

KAUST Repository

Moshkov, Mikhail; Piliszczuk, Marcin; Zielosko, Beata Marta

2009-01-01

This paper is devoted to the study of approximate algorithms for minimization of partial association rule length. It is shown that under some natural assumptions on the class NP, a greedy algorithm is close to the best polynomial approximate

Research on Credit Evaluation of Mobile Medical APP Interactive Online Consultation Service-Take Haodaifu APP Online Payment Service as an Example

Science.gov (United States)

Xiong, Dandan; Zhao, Lei

2017-10-01

Mobile medical industry is developing rapidly, but the relevant credit evaluation system is still in the exploratory stage. Haodaifu in the interactive online consulting services more representatives and has a credit evaluation system, but the system is not perfect. There are many problems in the system, such as credits indicators cannot better reflect the results of user’s evaluation, the lack of user qualification supervision, evaluation index system and assessment channels are not perfect. On the basis of drawing on the advantages of E-commerce evaluation system and combining with the characteristics of mobile medical itself, two suggestions are put forward: Improve the credit evaluation model (Generate physician static credit index, Change the doctor 's dynamic credit index algorithm, Update the dynamic credit index), Improve the basic mechanism of credit evaluation.

75 FR 17976 - WNC Tax Credits 38, LLC, WNC Tax Credits 39, LLC, WNC Housing Tax Credits Manager, LLC and WNC...

Science.gov (United States)

2010-04-08

... Credits 38, LLC, WNC Tax Credits 39, LLC, WNC Housing Tax Credits Manager, LLC and WNC & Associates, Inc... collectively, the ``Funds''), WNC Housing Tax Credits Manager, LLC (the ``Manager'') and WNC & Associates, Inc... credit under the Internal Revenue Code of 1986, as amended. The Manager is a California limited liability...

Introduction of Credit Derivatives and Valuation of Credit Default Swap

OpenAIRE

Han, Lu

2006-01-01

The credit derivative market was established at the beginning of the 1990s since the emergence of credit derivatives fits the rapid development of the whole derivatives market. However, compare to other derivative market, this market is still small and incomplete. As with other derivatives, credit derivatives can be used to either take more risk or hedge it, hence various credit derivatives instruments are accepted and widely used by market participants such as banks, insurance companies, etc...

Inferring microRNA regulation of mRNA with partially ordered samples of paired expression data and exogenous prediction algorithms.

Directory of Open Access Journals (Sweden)

Brian Godsey

Full Text Available MicroRNAs (miRs are known to play an important role in mRNA regulation, often by binding to complementary sequences in "target" mRNAs. Recently, several methods have been developed by which existing sequence-based target predictions can be combined with miR and mRNA expression data to infer true miR-mRNA targeting relationships. It has been shown that the combination of these two approaches gives more reliable results than either by itself. While a few such algorithms give excellent results, none fully addresses expression data sets with a natural ordering of the samples. If the samples in an experiment can be ordered or partially ordered by their expected similarity to one another, such as for time-series or studies of development processes, stages, or types, (e.g. cell type, disease, growth, aging, there are unique opportunities to infer miR-mRNA interactions that may be specific to the underlying processes, and existing methods do not exploit this. We propose an algorithm which specifically addresses [partially] ordered expression data and takes advantage of sample similarities based on the ordering structure. This is done within a Bayesian framework which specifies posterior distributions and therefore statistical significance for each model parameter and latent variable. We apply our model to a previously published expression data set of paired miR and mRNA arrays in five partially ordered conditions, with biological replicates, related to multiple myeloma, and we show how considering potential orderings can improve the inference of miR-mRNA interactions, as measured by existing knowledge about the involved transcripts.

Optimal partial-arcs in VMAT treatment planning

International Nuclear Information System (INIS)

Wala, Jeremiah; Salari, Ehsan; Chen Wei; Craft, David

2012-01-01

We present a method for improving the delivery efficiency of VMAT by extending the recently published VMAT treatment planning algorithm vmerge to automatically generate optimal partial-arc plans. A high-quality initial plan is created by solving a convex multicriteria optimization problem using 180 equi-spaced beams. This initial plan is used to form a set of dose constraints, and a set of partial-arc plans is created by searching the space of all possible partial-arc plans that satisfy these constraints. For each partial-arc, an iterative fluence map merging and sequencing algorithm (vmerge) is used to improve the delivery efficiency. Merging continues as long as the dose quality is maintained above a user-defined threshold. The final plan is selected as the partial-arc with the lowest treatment time. The complete algorithm is called pmerge. Partial-arc plans are created using pmerge for a lung, liver and prostate case, with final treatment times of 127, 245 and 147 s. Treatment times using full arcs with vmerge are 211, 357 and 178 s. The mean doses to the critical structures for the vmerge and pmerge plans are kept within 5% of those in the initial plan, and the target volume covered by the prescription isodose is maintained above 98% for the pmerge and vmerge plans. Additionally, we find that the angular distribution of fluence in the initial plans is predictive of the start and end angles of the optimal partial-arc. We conclude that VMAT delivery efficiency can be improved by employing partial-arcs without compromising dose quality, and that partial-arcs are most applicable to cases with non-centralized targets. (paper)

Quantum partial search for uneven distribution of multiple target items

Science.gov (United States)

Zhang, Kun; Korepin, Vladimir

2018-06-01

Quantum partial search algorithm is an approximate search. It aims to find a target block (which has the target items). It runs a little faster than full Grover search. In this paper, we consider quantum partial search algorithm for multiple target items unevenly distributed in a database (target blocks have different number of target items). The algorithm we describe can locate one of the target blocks. Efficiency of the algorithm is measured by number of queries to the oracle. We optimize the algorithm in order to improve efficiency. By perturbation method, we find that the algorithm runs the fastest when target items are evenly distributed in database.

Credit securitization and credit derivatives: Financial instruments and the credit risk management of middle market commercial loan portfolios

OpenAIRE

Henke, Sabine; Burghof, Hans-Peter; Rudolph, Bernd

1998-01-01

Banks increasingly recognize the need to measure and manage the credit risk of their loans on a portfolio basis. We address the subportfolio "middle market". Due to their specific lending policy for this market segment it is an important task for banks to systematically identify regional and industrial credit concentrations and reduce the detected concentrations through diversification. In recent years, the development of markets for credit securitization and credit derivatives has provided n...

Partial branch and bound algorithm for improved data association in multiframe processing

Science.gov (United States)

Poore, Aubrey B.; Yan, Xin

1999-07-01

A central problem in multitarget, multisensor, and multiplatform tracking remains that of data association. Lagrangian relaxation methods have shown themselves to yield near optimal answers in real-time. The necessary improvement in the quality of these solutions warrants a continuing interest in these methods. These problems are NP-hard; the only known methods for solving them optimally are enumerative in nature with branch-and-bound being most efficient. Thus, the development of methods less than a full branch-and-bound are needed for improving the quality. Such methods as K-best, local search, and randomized search have been proposed to improve the quality of the relaxation solution. Here, a partial branch-and-bound technique along with adequate branching and ordering rules are developed. Lagrangian relaxation is used as a branching method and as a method to calculate the lower bound for subproblems. The result shows that the branch-and-bound framework greatly improves the resolution quality of the Lagrangian relaxation algorithm and yields better multiple solutions in less time than relaxation alone.

Modernization of credit relations

Directory of Open Access Journals (Sweden)

S.V. Volosovich

2015-03-01

Full Text Available Nowadays it is essential to modernize credit relations in the conditions of global economy transformations. This is due to the influence of integration processes on credit relations and transformation of the risks inherent in the credit field. The purpose of this article is to develop measures that help to improve the efficiency of interaction of credit relations’ participants. Modernization of credit relations is based on the interaction of its main and indirect subjects who belong to the subsystems of loans granting, deposits attraction and provision of related services. Its goal is to pass from extensive to intensive model of interaction between the subjects of credit relations. Components of the credit relations modernization are the following: institutional modernization, which is based on the interaction of credit relations’ subjects, and ensures the development of competition in all credit market’s segments, the creation of its corresponding infrastructure, qualitative change in the approaches of regulation and supervision; technological modernization, which involves the formation of joint products on the credit market and the formation of an integrated informational and analytical system. In the result of the credit relations’ modernization it is expected to achieve synergies between the subjects of credit relations, that will lead to changes in the business architecture of the financial market.

Application of Data Mining Algorithm to Recipient of Motorcycle Installment

Directory of Open Access Journals (Sweden)

Harry Dhika

2015-12-01

Full Text Available The study was conducted in the subsidiaries that provide services of finance related to the purchase of a motorcycle on credit. At the time of applying, consumers enter their personal data. Based on the personal data, it will be known whether the consumer credit data is approved or rejected. From 224 consumer data obtained, it is known that the number of consumers whose applications are approved is 87% or about 217 consumers and consumers whose application is rejected is 16% or as much as 6 consumers. Acceptance of motorcycle financing on credit by using the method of applying the algorithm through CRIS-P DM is the industry standard in the processing of data mining. The algorithm used in the decision making is the algorithm C4.5. The results obtained previously, the level of accuracy is measured with the Confusion Matrix and Receiver Operating characteristic (ROC. Evaluation of the Confusion Matrix is intended to seek the value of accuracy, precision value, and the value of recall data. While the Receiver Operating Characteristic (ROC is used to find data tables and comparison Area Under Curve (AUC.

Partial discharge localization in power transformers based on the sequential quadratic programming-genetic algorithm adopting acoustic emission techniques

Science.gov (United States)

Liu, Hua-Long; Liu, Hua-Dong

2014-10-01

Partial discharge (PD) in power transformers is one of the prime reasons resulting in insulation degradation and power faults. Hence, it is of great importance to study the techniques of the detection and localization of PD in theory and practice. The detection and localization of PD employing acoustic emission (AE) techniques, as a kind of non-destructive testing, plus due to the advantages of powerful capability of locating and high precision, have been paid more and more attention. The localization algorithm is the key factor to decide the localization accuracy in AE localization of PD. Many kinds of localization algorithms exist for the PD source localization adopting AE techniques including intelligent and non-intelligent algorithms. However, the existed algorithms possess some defects such as the premature convergence phenomenon, poor local optimization ability and unsuitability for the field applications. To overcome the poor local optimization ability and easily caused premature convergence phenomenon of the fundamental genetic algorithm (GA), a new kind of improved GA is proposed, namely the sequence quadratic programming-genetic algorithm (SQP-GA). For the hybrid optimization algorithm, SQP-GA, the sequence quadratic programming (SQP) algorithm which is used as a basic operator is integrated into the fundamental GA, so the local searching ability of the fundamental GA is improved effectively and the premature convergence phenomenon is overcome. Experimental results of the numerical simulations of benchmark functions show that the hybrid optimization algorithm, SQP-GA, is better than the fundamental GA in the convergence speed and optimization precision, and the proposed algorithm in this paper has outstanding optimization effect. At the same time, the presented SQP-GA in the paper is applied to solve the ultrasonic localization problem of PD in transformers, then the ultrasonic localization method of PD in transformers based on the SQP-GA is proposed. And

Convergence criteria for systems of nonlinear elliptic partial differential equations

International Nuclear Information System (INIS)

Sharma, R.K.

1986-01-01

This thesis deals with convergence criteria for a special system of nonlinear elliptic partial differential equations. A fixed-point algorithm is used, which iteratively solves one linearized elliptic partial differential equation at a time. Conditions are established that help foresee the convergence of the algorithm. Under reasonable hypotheses it is proved that the algorithm converges for such nonlinear elliptic systems. Extensive experimental results are reported and they show the algorithm converges in a wide variety of cases and the convergence is well correlated with the theoretical conditions introduced in this thesis

Credit Card Security

OpenAIRE

G.C., Anup

2013-01-01

Author: Anup G.C. Year: 2013 Subject of thesis: Credit Card Security Number of pages: 36+2 Credit Card is a widely used electronic chip for easy transactions. The main purpose of the report was to show the security measures of transaction by credit cards. The purpose was to give information about credit cards and how they were introduced. The thesis reportcontained the types of card theft with examples and sited the various protocols used for online ...

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Indian Academy of Sciences (India)

not work, the solution gets zero credit - there is no way of assigning partial credit for ... trained in the underlying theory of algorithms, they must also be capable of ... One negative feature of this evaluation system is that a correct program that.

Pragmatics of type-directed partial evaluation

DEFF Research Database (Denmark)

Danvy, Olivier

1996-01-01

Type-directed partial evaluation stems from the residualization of static values in dynamic contexts, given their type and the type of their free variables. Its algorithm coincides with the algorithm for coercing a subtype value into a supertype value, which itself coincides with Berger and Schwi...

On construction of partial association rules

KAUST Repository

Moshkov, Mikhail

2009-01-01

This paper is devoted to the study of approximate algorithms for minimization of partial association rule length. It is shown that under some natural assumptions on the class NP, a greedy algorithm is close to the best polynomial approximate algorithms for solving of this NP-hard problem. The paper contains various bounds on precision of the greedy algorithm, bounds on minimal length of rules based on an information obtained during greedy algorithm work, and results of the study of association rules for the most part of binary information systems. © 2009 Springer Berlin Heidelberg.

76 FR 40946 - WNC Tax Credits 40, LLC, WNC Tax Credits 41, LLC, WNC Housing Tax Credits Manager 2, LLC, WNC...

Science.gov (United States)

2011-07-12

... Credits 40, LLC, WNC Tax Credits 41, LLC, WNC Housing Tax Credits Manager 2, LLC, WNC National Partners... (``Fund 41'') (each a ``Fund,'' and collectively, the ``Funds''), WNC Housing Tax Credits Manager 2, LLC (the ``Manager''), WNC National Partners, LLC (``WNC National Partners'') and WNC & Associates, Inc...

Joint replenishment and credit policies under two levels of trade credit financing when demand and bad-debt loss depends upon credit period

Directory of Open Access Journals (Sweden)

Aggarawal K.K.

2016-01-01

Full Text Available In practice, a firm usually receives trade credit financing from its supplier on the purchase of inventory. Similarly, in order to meet competition and generate credit sales over and above cash sales, the firm also gives credit period to their customers. However, the decision of granting credit period may have a disintegrating effect on cash sales apart from generating new credit sales because some of the cash customers may switch to credit purchase. In addition, despite of the best credit granting policies and collection practices, the firm may incurs some amount of bad debt losses because a certain fraction of buyers will undoubtedly be unable to pay off their debt obligations and become bad debt loss to the firm. In this paper, using discounted cash flow (DCF approach, a mathematical model is developed to jointly determine optimal inventory and credit policies under two levels of trade credit financing when demand and bad-debt losses are dependent on credit period. The objective of the model is to maximize the present value of firm’s net profit per unit time by jointly optimizing the replenishment interval and date-terms credit period. Numerical examples and sensitivity analysis are presented to illustrate the effectiveness of the proposed model, and the results are discussed.

Rural Credit in Vietnam

DEFF Research Database (Denmark)

Barslund, Mikkel Christoffer; Tarp, Finn

This paper uses a survey of 932 rural households to uncover how the rural credit market operates in four provinces of Vietnam. Households obtain credit through formal and informal lenders, but formal loans are almost entirely for production and asset accumulation. Interest rates fell from 1997...... to 2002, reflecting increased market integration; but the determinants of formal and informal credit demand are distinct. Credit rationing depends on education and credit history, but we find no evidence of a bias against women. Regional differences are striking, and a ‘one size fits all’ approach...... to credit policy is clearly inappropriate....

Estimating the Acquisition Price of Enshi Yulu Young Tea Shoots Using Near-Infrared Spectroscopy by the Back Propagation Artificial Neural Network Model in Conjunction with Backward Interval Partial Least Squares Algorithm

Science.gov (United States)

Wang, Sh.-P.; Gong, Z.-M.; Su, X.-Zh.; Liao, J.-Zh.

2017-09-01

Near infrared spectroscopy and the back propagation artificial neural network model in conjunction with backward interval partial least squares algorithm were used to estimate the purchasing price of Enshi yulu young tea shoots. The near-infrared spectra regions most relevant to the tea shoots price model (5700.5-5935.8, 7613.6-7848.9, 8091.8-8327.1, 8331-8566.2, 9287.5-9522.5, and 9526.6-9761.9 cm-1) were selected using backward interval partial least squares algorithm. The first five principal components that explained 99.96% of the variability in those selected spectral data were then used to calibrate the back propagation artificial neural tea shoots purchasing price model. The performance of this model (coefficient of determination for prediction 0.9724; root-mean-square error of prediction 4.727) was superior to those of the back propagation artificial neural model (coefficient of determination for prediction 0.8653, root-mean-square error of prediction 5.125) and the backward interval partial least squares model (coefficient of determination for prediction 0.5932, root-mean-square error of prediction 25.125). The acquisition price model with the combined backward interval partial least squares-back propagation artificial neural network algorithms can evaluate the price of Enshi yulu tea shoots accurately, quickly and objectively.

Credit Participation and Credit Source Selection of Vietnam Small and Medium Enterprises

Directory of Open Access Journals (Sweden)

Nguyen Anh Hoang

2014-10-01

Full Text Available This study is an attempt to investigate the motivation behind the decision to participate in the credit market of SMEs from perspectives of behavioral finance and social capital theories. In addi- tion, the study also examines the effect of behavioral finance and social capital factors on the credit source selection among SMEs. This study’s design strategy involves conducting questionnaire sur- veys to SMEs owners and statistical techniques to analyze the determinants of credit participation and credit source selection of borrowers. The findings showed that personal traits of SMEs owners/ managers in terms of behavioral finance factors such as debt and risk attitudes, present biased and overconfidence and firms networking also have impacts on the firms’ credit participation and credit source selection. The research is one of the few studies that consider the influence of behavioral finance factors on firms financing decision. Furthermore, our result also contributes to explain the common use of informal credit market in developing countries.

Credit Risk Research

DEFF Research Database (Denmark)

Zamore, Stephen; Ohene Djan, Kwame; Alon, Ilan

2018-01-01

This article provides a comprehensive review of scholarly research on credit risk measurement during the last 57 years applying bibliometric citation analysis and elaborates an agenda for future research. The bibliography is compiled using the Institute for Scientific Information (ISI) Web...... of Science (WOS) database and includes all articles with citations over the period 1960–2016. Specifically, the review is carried out using 1695 articles across 72 countries published in 442 journals by 2928 authors. The findings suggest that credit risk research is multifaceted and can be classified...... into six streams: (1) defaultable security pricing, (2) default intensity modeling, (3) comparative analysis of credit models, (4) comparative analysis of credit markets, (5) credit default swap (CDS) pricing, and (6) loan loss provisions. The article contributes through synthesizing and identifying...

Credit: A Teaching Unit.

Science.gov (United States)

Clanton, Brandolyn; And Others

Intended for teachers of secondary school students, five lessons on consumer credit are presented. In the first lesson students identify and evaluate sources of credit, compare some of the costs and benefits of credit, and learn to apply criteria used in evaluating applications for credit. In the second lesson, students learn about two basic types…

PARALLEL SOLUTION METHODS OF PARTIAL DIFFERENTIAL EQUATIONS

Directory of Open Access Journals (Sweden)

Korhan KARABULUT

1998-03-01

Full Text Available Partial differential equations arise in almost all fields of science and engineering. Computer time spent in solving partial differential equations is much more than that of in any other problem class. For this reason, partial differential equations are suitable to be solved on parallel computers that offer great computation power. In this study, parallel solution to partial differential equations with Jacobi, Gauss-Siedel, SOR (Succesive OverRelaxation and SSOR (Symmetric SOR algorithms is studied.

Approach to recognition of flexible form for credit card expiration date recognition as example

Science.gov (United States)

Sheshkus, Alexander; Nikolaev, Dmitry P.; Ingacheva, Anastasia; Skoryukina, Natalya

2015-12-01

In this paper we consider a task of finding information fields within document with flexible form for credit card expiration date field as example. We discuss main difficulties and suggest possible solutions. In our case this task is to be solved on mobile devices therefore computational complexity has to be as low as possible. In this paper we provide results of the analysis of suggested algorithm. Error distribution of the recognition system shows that suggested algorithm solves the task with required accuracy.

Using R and WinBUGS to fit a generalized partial credit model for developing and evaluating patient-reported outcomes assessments.

Science.gov (United States)

Li, Yuelin; Baser, Ray

2012-08-15

The US Food and Drug Administration recently announced the final guidelines on the development and validation of patient-reported outcomes (PROs) assessments in drug labeling and clinical trials. This guidance paper may boost the demand for new PRO survey questionnaires. Henceforth, biostatisticians may encounter psychometric methods more frequently, particularly item response theory (IRT) models to guide the shortening of a PRO assessment instrument. This article aims to provide an introduction on the theory and practical analytic skills in fitting a generalized partial credit model (GPCM) in IRT. GPCM theory is explained first, with special attention to a clearer exposition of the formal mathematics than what is typically available in the psychometric literature. Then, a worked example is presented, using self-reported responses taken from the international personality item pool. The worked example contains step-by-step guides on using the statistical languages r and WinBUGS in fitting the GPCM. Finally, the Fisher information function of the GPCM model is derived and used to evaluate, as an illustrative example, the usefulness of assessment items by their information contents. This article aims to encourage biostatisticians to apply IRT models in the re-analysis of existing data and in future research. Copyright © 2012 John Wiley & Sons, Ltd.

Comparison of Dose Distributions With TG-43 and Collapsed Cone Convolution Algorithms Applied to Accelerated Partial Breast Irradiation Patient Plans

Energy Technology Data Exchange (ETDEWEB)

Thrower, Sara L., E-mail: slloupot@mdanderson.org [The University of Texas Graduate School of Biomedical Sciences at Houston, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Shaitelman, Simona F.; Bloom, Elizabeth [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Salehpour, Mohammad; Gifford, Kent [Department of Radiation Physics, The University of Texas Graduate School of Biomedical Sciences at Houston, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

2016-08-01

Purpose: To compare the treatment plans for accelerated partial breast irradiation calculated by the new commercially available collapsed cone convolution (CCC) and current standard TG-43–based algorithms for 50 patients treated at our institution with either a Strut-Adjusted Volume Implant (SAVI) or Contura device. Methods and Materials: We recalculated target coverage, volume of highly dosed normal tissue, and dose to organs at risk (ribs, skin, and lung) with each algorithm. For 1 case an artificial air pocket was added to simulate 10% nonconformance. We performed a Wilcoxon signed rank test to determine the median differences in the clinical indices V90, V95, V100, V150, V200, and highest-dosed 0.1 cm{sup 3} and 1.0 cm{sup 3} of rib, skin, and lung between the two algorithms. Results: The CCC algorithm calculated lower values on average for all dose-volume histogram parameters. Across the entire patient cohort, the median difference in the clinical indices calculated by the 2 algorithms was <10% for dose to organs at risk, <5% for target volume coverage (V90, V95, and V100), and <4 cm{sup 3} for dose to normal breast tissue (V150 and V200). No discernable difference was seen in the nonconformance case. Conclusions: We found that on average over our patient population CCC calculated (<10%) lower doses than TG-43. These results should inform clinicians as they prepare for the transition to heterogeneous dose calculation algorithms and determine whether clinical tolerance limits warrant modification.

Bank-firm credit network in Japan: an analysis of a bipartite network.

Science.gov (United States)

Marotta, Luca; Miccichè, Salvatore; Fujiwara, Yoshi; Iyetomi, Hiroshi; Aoyama, Hideaki; Gallegati, Mauro; Mantegna, Rosario N

2015-01-01

We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms. We show that the communities obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. To investigate the time evolution of the networked structure of the credit market we introduce a new statistical method to track the time evolution of detected communities. We then characterize the time evolution of communities by detecting for each time evolving set of communities the over-expression of attributes of firms and banks. Specifically, we consider as attributes the economic sector and the geographical location of firms and the type of banks. In our 32-year-long analysis we detect a persistence of the over-expression of attributes of communities of banks and firms together with a slow dynamic of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks, and economic sector of the firm play a role in shaping the credit relationships between banks and firms.

New approach to breast cancer CAD using partial least squares and kernel-partial least squares

Science.gov (United States)

Land, Walker H., Jr.; Heine, John; Embrechts, Mark; Smith, Tom; Choma, Robert; Wong, Lut

2005-04-01

Breast cancer is second only to lung cancer as a tumor-related cause of death in women. Currently, the method of choice for the early detection of breast cancer is mammography. While sensitive to the detection of breast cancer, its positive predictive value (PPV) is low, resulting in biopsies that are only 15-34% likely to reveal malignancy. This paper explores the use of two novel approaches called Partial Least Squares (PLS) and Kernel-PLS (K-PLS) to the diagnosis of breast cancer. The approach is based on optimization for the partial least squares (PLS) algorithm for linear regression and the K-PLS algorithm for non-linear regression. Preliminary results show that both the PLS and K-PLS paradigms achieved comparable results with three separate support vector learning machines (SVLMs), where these SVLMs were known to have been trained to a global minimum. That is, the average performance of the three separate SVLMs were Az = 0.9167927, with an average partial Az (Az90) = 0.5684283. These results compare favorably with the K-PLS paradigm, which obtained an Az = 0.907 and partial Az = 0.6123. The PLS paradigm provided comparable results. Secondly, both the K-PLS and PLS paradigms out performed the ANN in that the Az index improved by about 14% (Az ~ 0.907 compared to the ANN Az of ~ 0.8). The "Press R squared" value for the PLS and K-PLS machine learning algorithms were 0.89 and 0.9, respectively, which is in good agreement with the other MOP values.

The impact of credit risk assessment on credit activity of commercial banks

Directory of Open Access Journals (Sweden)

Ljubić Marijana

2015-01-01

Full Text Available As banks have great social responsibility and are a subject to a specific and extensive regulations, one of the being Basel, the authors of this paper focus on the impact of credit risk assessment on credit activity of commercial banks. The authors of this paper provide a standard for risk management and an insight into directions on how to manage credit risk in the most efficient way and how to assess credit rating of a borrower.

Computational acceleration for MR image reconstruction in partially parallel imaging.

Science.gov (United States)

Ye, Xiaojing; Chen, Yunmei; Huang, Feng

2011-05-01

In this paper, we present a fast numerical algorithm for solving total variation and l(1) (TVL1) based image reconstruction with application in partially parallel magnetic resonance imaging. Our algorithm uses variable splitting method to reduce computational cost. Moreover, the Barzilai-Borwein step size selection method is adopted in our algorithm for much faster convergence. Experimental results on clinical partially parallel imaging data demonstrate that the proposed algorithm requires much fewer iterations and/or less computational cost than recently developed operator splitting and Bregman operator splitting methods, which can deal with a general sensing matrix in reconstruction framework, to get similar or even better quality of reconstructed images.

A Hybrid Data Mining Approach for Credit Card Usage Behavior Analysis

Science.gov (United States)

Tsai, Chieh-Yuan

Credit card is one of the most popular e-payment approaches in current online e-commerce. To consolidate valuable customers, card issuers invest a lot of money to maintain good relationship with their customers. Although several efforts have been done in studying card usage motivation, few researches emphasize on credit card usage behavior analysis when time periods change from t to t+1. To address this issue, an integrated data mining approach is proposed in this paper. First, the customer profile and their transaction data at time period t are retrieved from databases. Second, a LabelSOM neural network groups customers into segments and identify critical characteristics for each group. Third, a fuzzy decision tree algorithm is used to construct usage behavior rules of interesting customer groups. Finally, these rules are used to analysis the behavior changes between time periods t and t+1. An implementation case using a practical credit card database provided by a commercial bank in Taiwan is illustrated to show the benefits of the proposed framework.

Credit derivatives in emerging markets

OpenAIRE

Romain Rancière

2002-01-01

Credit Derivatives are securities that offer protection against credit or default risk of bonds or loans. The credit derivatives emerging market has grown rapidly and credit derivatives are widely used. This paper describes the emerging credit derivatives market structure. The current market activity is analyzed through elementary pricing dynamics and the study of the term structure of default risk. Focusing on the performance of credit derivatives in stress situation, including legal and mar...

The influence of sovereign credit ratings on corporate credit ratings.

OpenAIRE

Umutoni, Liliane

2017-01-01

Credit ratings have a key role in modern financial markets as they communicate crucial information on the creditworthiness of a debt issuer to investors and regulators. These credit ratings are mostly determined by three rating agencies, namely Standard & Poor’s, Moody’s and Fitch, even though, the credit rating industry counts a dozen of recognized rating agencies. Indeed, the three agencies have become the market leaders with a market share of 94.3% on the U.S market (Bloomberg, 2015) and 9...

Nonconventional fuel tax credit application deadline approaches

International Nuclear Information System (INIS)

Lewis, F.W.; Steger, E.K.

1992-01-01

This paper reports that the US Federal Energy Regulatory Commission has established Dec. 31, 1992, as the deadline for producers to file Natural Gas Policy Act applications for gas produced from nonconventional fuel sources. Qualifying wells may receive tax credits ranging from 52 cents/MMBTU to 92 cents/MMBTU depending on the category and year of production. The most commonly eligible wells include tight formations, coalbed methanes, and gas from Devonian shales. FERC Order 539 allows producers to make application with the state jurisdictional agencies through Dec. 31, 1992. Many state jurisdictional agencies are willing to accept partial applications to be completed shortly thereafter

Credit risk management in banks

OpenAIRE

Pětníková, Tereza

2014-01-01

The subject of this diploma thesis is managing credit risk in banks, as the most significant risk faced by banks. The aim of this work is to define the basic techniques, tools and methods that are used by banks to manage credit risk. The first part of this work focuses on defining these procedures and describes the entire process of credit risk management, from the definition of credit risk, describing credit strategy and policy, organizational structure, defining the most used credit risk mi...

Sex of respondent and credit attitudes as predictors of credit card use and debt payment.

Science.gov (United States)

McCall, Michael; Eckrich, Donald W

2006-06-01

Researchers have suggested there may be sex differences in attitudes towards credit card possession and use. Undergraduates, 41 men and 41 women, completed a survey regarding their attitudes towards credit, credit card use, and repayment. Analysis indicated sex played a significant moderating role between number of credit cards used and the importance of paying off monthly balances. Women possessed more credit cards than men and engaged in more frequent shopping. Number of credit cards increased with paying off of monthly balances. Data are discussed in terms of the importance of managing credit card debt in an increasingly cashless society.

Consumer Handbook to Credit Protection Laws.

Science.gov (United States)

Board of Governors of the Federal Reserve System, Washington, DC.

The five sections of this consumer handbook are The Cost of Credit, Applying for Credit, Credit Histories and Records, Correcting Credit Mistakes, and Complaining about Credit. Each section discusses relevant legislation: Truth in Lending, the Equal Credit Opportunity Act, and the Fair Credit Reporting Act. Topics discussed in section I include…

MANAGEMENT OF CREDIT LOSSES

Directory of Open Access Journals (Sweden)

Natalya P. Anoshkina

2018-06-01

Full Text Available The paper is devoted to the problem of credit loss management topical for modern Russian science and banking practice. The bank’s lending activity is an integral and the most profitable sphere of banking activity. Banks need to take credit risks inherent in their core business and minimize their impact through the establishment of advanced risk management systems. The study, reflected in the present paper, has been conducted in order to determine approaches to the organization of credit loss management in banking. Analysis of the system of management of credit risks and credit losses has shown that they have different scope, object and purpose. In this connection, there is an objective necessity to create a special subsystem for the management of credit losses in banks. On the basis of common bank approaches to credit risk management, the paper develops models of credit loss management: a multi-level management model in the area of ‘operational-tactical-strategic management’ and a functional management model in the area of ‘technology-execution-control’. These models are important for the modern theory and practice of banking, as they allow the bank to manage credit losses on the entire time horizon of the management process, thus opening a wide range of opportunities for the creation and implementation of large-scale programs, as well as specific techniques. This study allows drawing a conclusion about the need to consider control credit losses as a strictly regulated multi-level process, in which each division is assigned with specific objectives, tasks, functions, formally enshrined in the relevant lists, job descriptions and other legal documents.

Non-conventional fuel tax credit

International Nuclear Information System (INIS)

Soeoet, P.M.

1988-01-01

Coal-seam methane, along with certain other non-conventional fuels, is eligible for a tax credit. This production tax credit allowed coal-seam methane producers to receive $0.7526 per million Btu of gas sold during 1986. In 1987, this credit rose to $0.78 per million Btu. The tax credit is a very significant element of the economic analysis of current coal-seam methane projects. In today's spot market, gas prices are around $1.50 per million Btu. Allowing for costs of production, the gas producer will net more income from the tax credit than from the sale of the gas. The Crude Oil Windfall Profit Tax Act of 1980 is the source of this tax credit. There were some minor changes made by subsequent legislation, but most of the tax credit has remained intact. Wells must be drilled by 1990 to qualify for the tax credit but the production from such wells is eligible for the tax credit until 2001. Projections have been made, showing that the tax credit should increase to $0.91 per million Btu for production in 1990 and $1.34 per million Btu in 2000. Variables which may decrease the tax credit from these projections are dramatically lower oil prices or general economic price deflation

Credit Management System

Data.gov (United States)

US Agency for International Development — Credit Management System. Outsourced Internet-based application. CMS stores and processes data related to USAID credit programs. The system provides information...

The Function of Credit Scheme to Improve Family Income among Beef Cattle Farmers in Central Java Province

Science.gov (United States)

Prasetyo, E.; Ekowati, T.; Roessali, W.; Gayatri, S.

2018-02-01

The aims of study were: (i) identify of beef cattle fattening credit scheme, (ii) calculating and analyze of beef cattle farmers’ income, (iii) analyze of factors influencing beef cattle credit scheme towards farmer’s income. The research was held in five regencies in Central Java Province. Beef cattle fattening farm was standardized as an elementary unit. Survey method was used, while Two Stage Cluster Purposive Sampling was used for determining of sample. Data were analyzed using statistical method of quantitative descriptive and inferential statistics in term of income analysis and multiple linear regression models. The result showed that farmers used their own capital to run the farm. The average amount was IDR 10,769,871. Kredit Ketahanan Pangan dan Energi was credit scheme which was dominantly access by farmers. The average credit was IDR 23,312,200/farmer with rate of credit equal to 6.46%, the time of credit returning equal to 24.60 monthand the prediction of average collateral equal to IDR 35,800,00. The average of farmers’ income was IDR 4,361,611.60/2.96 head of beef cattle/fattening period. If the labour cost did not calculate as a cost production, hence the farmer’ income was IDR 7,608,630.41 or in other word the farmer’ income increase 74.44%. Factors of credit scheme which partially significant influence to the farmers’ income were number of own capital usage and value of credit collateral. Meanwhile, name of credit scheme, financing institution as a creditor, amount of credit, rate of credit scheme and time of returning credit were not significantly influence towards farmers’ income.

Credit Union Headquarters

Data.gov (United States)

Department of Homeland Security — The National Credit Union Administration (NCUA) is the independent federal agency that charters and supervises federal credit unions. NCUA, backed of the full faith...

Credit risk transfer

OpenAIRE

Bank for International Settlements

2003-01-01

Executive summary Techniques for transferring credit risk, such as financial guarantees and credit insurance, have been a long-standing feature of financial markets. In the past few years, however, the range of credit risk transfer (CRT) instruments and the circumstances in which they are used have widened considerably. A number of factors have contributed to this growth, including: greater focus by banks and other financial institutions on risk management; a more rigorous approach to risk/re...

Dynamic Virtual Credit Card Numbers

Science.gov (United States)

Molloy, Ian; Li, Jiangtao; Li, Ninghui

Theft of stored credit card information is an increasing threat to e-commerce. We propose a dynamic virtual credit card number scheme that reduces the damage caused by stolen credit card numbers. A user can use an existing credit card account to generate multiple virtual credit card numbers that are either usable for a single transaction or are tied with a particular merchant. We call the scheme dynamic because the virtual credit card numbers can be generated without online contact with the credit card issuers. These numbers can be processed without changing any of the infrastructure currently in place; the only changes will be at the end points, namely, the card users and the card issuers. We analyze the security requirements for dynamic virtual credit card numbers, discuss the design space, propose a scheme using HMAC, and prove its security under the assumption the underlying function is a PRF.

Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network

Science.gov (United States)

Marotta, Luca; Miccichè, Salvatore; Fujiwara, Yoshi; Iyetomi, Hiroshi; Aoyama, Hideaki; Gallegati, Mauro; Mantegna, Rosario N.

2015-01-01

We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms. We show that the communities obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. To investigate the time evolution of the networked structure of the credit market we introduce a new statistical method to track the time evolution of detected communities. We then characterize the time evolution of communities by detecting for each time evolving set of communities the over-expression of attributes of firms and banks. Specifically, we consider as attributes the economic sector and the geographical location of firms and the type of banks. In our 32-year-long analysis we detect a persistence of the over-expression of attributes of communities of banks and firms together with a slow dynamic of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks, and economic sector of the firm play a role in shaping the credit relationships between banks and firms. PMID:25933413

12 CFR 561.12 - Consumer credit.

Science.gov (United States)

2010-01-01

...; loans in the nature of overdraft protection; and credit extended in connection with credit cards. ... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Consumer credit. 561.12 Section 561.12 Banks... AFFECTING ALL SAVINGS ASSOCIATIONS § 561.12 Consumer credit. The term consumer credit means credit extended...

THE CREDIT AND CREDIT RISK MANAGEMENT DURING THE CRISIS

Directory of Open Access Journals (Sweden)

Chitan Gheorghe

2012-03-01

Full Text Available Considering the importance of credit risk management to ensure the financial system stability,the paper presents financial and real sector interaction highlighting that credit growth based on increase of creditdemand, of income, of assets prices, of currency availability, the interest rate differential between countries andrelaxation of regulatory framework, leaves banks more vulnerable to subsequent downturn in economic activity andasset prices. It also outlines the steps taken or those I think that should be implemented in terms of improving creditrisk management, implementation of regulatory measures to limit credit expansion, enforcing the regulatoryrequirements for covering the expected and unexpected losses, introduction of new surveillance tools aimed to leadto a more resilient financial system.

Determinants of SME credit worthiness under Basel rules: the value of credit history information

Directory of Open Access Journals (Sweden)

Francesco Dainelli

2013-03-01

Full Text Available The Basel III Accord has reportedly had an impact on SME financing. In this paper, we aim to highlight the determinants of SME credit worthiness. We use credit history in addition to financial ratios and “hybrid” indicators that have been built by mixing credit history with financial statement data. We develop a failure prediction logit model on 187 Italian SMEs. The use of short-term credit lines is the most important variable. Contrary to common understanding, capitalization levels do not affect ratings. Lastly, credit worthiness is sensitive to sale profitability.

Network Effects in Risk Sharing and Credit Market Access: Evidence from Istanbul

OpenAIRE

Fikret Adaman; Oya Pinar Ardic; Didem Tuzemen

2006-01-01

It is a truism that households in developing countries that face idiosyncratic income/expenditure shocks may face difficulties in smoothing consumption through formal credit institutions, and hence rely, at least partially, on informal ties. While this issue has been explored extensively in the literature for rural areas, the picture reflecting the urban setting remains relatively uninvestigated. This paper aims to fill this gap by presenting an exclusively designed survey implemented i...

Credit Card Quiz.

Science.gov (United States)

Marks, Jeff

2000-01-01

Describes an activity in which students design credit cards and discover for themselves the mathematical realities of buying on credit. Employs multiple-intelligence theory to increase the chance that all students will be reached. (YDS)

STOCHASTIC MODELING OF OPTIMIZED CREDIT STRATEGY OF A DISTRIBUTING COMPANY ON THE PHARMACEUTICAL MARKET

Directory of Open Access Journals (Sweden)

M. Boychuk

2015-10-01

pharmaceutical product has a stochastic character. If the coefficient in the Poisson process differs from zero, then there are three modes of crediting (full, partial and absence of crediting, and if the coefficient equals to zero there are two modes of financing (full and the absence of crediting.

Credit derivatives and risk management

OpenAIRE

Michael S. Gibson

2007-01-01

The striking growth of credit derivatives suggests that market participants find them to be useful tools for risk management. I illustrate the value of credit derivatives with three examples. A commercial bank can use credit derivatives to manage the risk of its loan portfolio. An investment bank can use credit derivatives to manage the risks it incurs when underwriting securities. An investor, such as an insurance company, asset manager, or hedge fund, can use credit derivatives to align its...

Latinos in the Credit Economy

OpenAIRE

Ralph, Lisa M.

2010-01-01

Access to consumer credit as a means of building wealth is one of the least examined forms of social inequality. The recent economic crisis in the United States has brought attention to the significance of consumer credit in our nation's economy; however, less understood are the specific obstacles and barriers that prevent low-income individuals from reaching the "American Dream." In an exploratory manner, this study compared credit access, credit literacy, and credit experience of low-income...

Quality of urban forest carbon credits

Science.gov (United States)

Neelam C. Poudyala; Jacek P. Siry; J.M. Bowker

2011-01-01

While the urban forest is considered an eligible source of carbon offset credits, little is known about its market potential and the quality aspects of the credits. As credit suppliers increase in number and credit buyers become more interested in purchasing carbon credits, it is unclear whether and how urban forest carbon credits can perform relative to the other...

Boundedly rational credit cycles

OpenAIRE

Sáez, María

1996-01-01

We propose an evolutionary model of a credit market. We show that the economy exhibits credit cycles. The model predicts dynamics which are consistent with some evidence about the Great Depression. Real shocks trigger episodes of credit--crunch which are observed in the process of adjustment towards the post shock equilibrium.

Statistical credit risk assessment model of small and very small enterprises for Lithuanian credit unions

OpenAIRE

Špicas, Renatas

2017-01-01

While functioning in accordance with the new, business and efficiency-oriented operating model, credit unions develop and begin functioning outside the community. It is universally recognised in scientific literature that as credit unions expand their activities beyond a community, social relations with credit union members weaken and the credit unions lose their social control element, which help them to better assess and manage information asymmetry and credit risk. So far, the analysis of ...

Comment on Geoengineering with seagrasses: is credit due where credit is given?

Science.gov (United States)

Oreska, Matthew P. J.; McGlathery, Karen J.; Emmer, Igino M.; Needelman, Brian A.; Emmett-Mattox, Stephen; Crooks, Stephen; Megonigal, J. Patrick; Myers, Doug

2018-03-01

In their recent review, ‘Geoengineering with seagrasses: is credit due where credit is given?,’ Johannessen and Macdonald (2016) invoke the prospect of carbon offset-credit over-allocation by the Verified Carbon Standard as a pretense for their concerns about published seagrass carbon burial rate and global stock estimates. Johannessen and Macdonald (2016) suggest that projects seeking offset-credits under the Verified Carbon Standard methodology VM0033: Methodology for Tidal Wetland and Seagrass Restoration will overestimate long-term (100 yr) sediment organic carbon (SOC) storage because issues affecting carbon burial rates bias storage estimates. These issues warrant serious consideration by the seagrass research community; however, VM0033 does not refer to seagrass SOC ‘burial rates’ or ‘storage.’ Projects seeking credits under VM0033 must document greenhouse gas emission reductions over time, relative to a baseline scenario, in order to receive credits. Projects must also monitor changes in carbon pools, including SOC, to confirm that observed benefits are maintained over time. However, VM0033 allows projects to conservatively underestimate project benefits by citing default values for specific accounting parameters, including CO2 emissions reductions. We therefore acknowledge that carbon crediting methodologies such as VM0033 are sensitive to the quality of the seagrass literature, particularly when permitted default factors are based in part on seagrass burial rates. Literature-derived values should be evaluated based on the concerns raised by Johannessen and Macdonald (2016), but these issues should not lead to credit over-allocation in practice, provided VM0033 is rigorously followed. These issues may, however, affect the feasibility of particular seagrass offset projects.

Models of Credit Risk Measurement

OpenAIRE

Hagiu Alina

2011-01-01

Credit risk is defined as that risk of financial loss caused by failure by the counterparty. According to statistics, for financial institutions, credit risk is much important than market risk, reduced diversification of the credit risk is the main cause of bank failures. Just recently, the banking industry began to measure credit risk in the context of a portfolio along with the development of risk management started with models value at risk (VAR). Once measured, credit risk can be diversif...

49 CFR 536.4 - Credits.

Science.gov (United States)

2010-10-01

... OF TRANSPORTATION TRANSFER AND TRADING OF FUEL ECONOMY CREDITS § 536.4 Credits. (a) Type and vintage... category, and model year of origin (vintage). (b) Application of credits. All credits earned and applied are calculated, per 49 U.S.C. 32903(c), in tenths of a mile per gallon by which the average fuel...

Credit Market Information Feedback

OpenAIRE

Balasubramanyan, Lakshmi; Craig, Ben R.; Thomson, James B.; Zaman, Saeed

2015-01-01

We examine how a combination of credit market and asset quality information can jointly be used in assessing bank franchise value. We find that expectations of future credit demand and future asset quality explain contemporaneous bank franchise value, indicative of the feedback in credit market information and its consequent impact on bank franchise value.

The two-child limit for Universal Credit and Child Tax Credit

OpenAIRE

MACHIN, Richard

2017-01-01

Richard Machin explores the background to, and likely impact of, the two-child limit on the child element in Universal Credit and the Child Tax Credit, which was introduced by the Welfare Reform and Work Act 2016

Credit Hours with No Set Time: A Study of Credit Policies in Asynchronous Online Education

Science.gov (United States)

Prasuhn, Frederick Carl

2014-01-01

U.S. public university system policies were examined to learn how credit hours were determined for asynchronous online education. Findings indicated that (a) credit hour meaning and use are not consistent, (b) primary responsibility for credit hour decisions was at the local level, and (c) no policies exist to guide credit hour application for…

CREDIT DEFAULT SWAPS IN THE MECHANISM OF REDISTRIBUTION OF CREDIT RISK

Directory of Open Access Journals (Sweden)

O. Solodka

2015-03-01

Full Text Available In the article the economic nature and the functioning of CDS in terms of efficient redistribution of credit risk. The features of the dynamics of the nominal volume of the world market CDS, the gross market value and net market value of the CDS. Proved that more objective indicators of total credit risk shenerovanoho financial institutions are gross market value of the CDS and the net market value of CDS. We consider the variety and scope of CDS. Studied objectivity CDS valuation depending on the basis for valuation of CDS. In the mechanism of functioning CDS credit event as defined default “subject matter”, the features of conventional and technical default. Noted that a credit event for the use of CDS may also restructuring the company, bankruptcy or downgrade economic entity. In the article the types of CDS, including Basket Default Swap and First-of- Basket-to-Default Swap. We consider the application of CDS, namely hedge the credit risk of the underlying asset, which issued CDS; hedging credit risk of other assets by CDS; speculative trading in CDS. Depending on the particular basis for valuation of CDS, investigated objective valuation based on the value of CDS hedging; valuation CDS, based on the intensity of default; CDS valuation based on credit rating; valuation CDS, based on the value of the company. Proved that hedging through CDS will be effective only for the low correlation between the default of the underlying asset and counterparty default on swaps. It is proved that the accuracy and redutsyrovanyh structural models strongly depends on the “a long history of trading” underlying assets, asset must have a long history of trading, be the subject of in-depth analysis of a wide range of analysts and traders.

A revised partiality model and post-refinement algorithm for X-ray free-electron laser data

Energy Technology Data Exchange (ETDEWEB)

Ginn, Helen Mary [Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN (United Kingdom); Brewster, Aaron S.; Hattne, Johan [Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 (United States); Evans, Gwyndaf; Wagner, Armin [Harwell Science and Innovation Campus, Fermi Avenue, Didcot OX11 0QX (United Kingdom); Grimes, Jonathan M. [Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN (United Kingdom); Harwell Science and Innovation Campus, Fermi Avenue, Didcot OX11 0QX (United Kingdom); Sauter, Nicholas K. [Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 (United States); Sutton, Geoff [Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN (United Kingdom); Stuart, David Ian, E-mail: dave@strubi.ox.ac.uk [Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN (United Kingdom); Harwell Science and Innovation Campus, Fermi Avenue, Didcot OX11 0QX (United Kingdom)

2015-05-23

An updated partiality model and post-refinement algorithm for XFEL snapshot diffraction data is presented and confirmed by observing anomalous density for S atoms at an X-ray wavelength of 1.3 Å. Research towards using X-ray free-electron laser (XFEL) data to solve structures using experimental phasing methods such as sulfur single-wavelength anomalous dispersion (SAD) has been hampered by shortcomings in the diffraction models for X-ray diffraction from FELs. Owing to errors in the orientation matrix and overly simple partiality models, researchers have required large numbers of images to converge to reliable estimates for the structure-factor amplitudes, which may not be feasible for all biological systems. Here, data for cytoplasmic polyhedrosis virus type 17 (CPV17) collected at 1.3 Å wavelength at the Linac Coherent Light Source (LCLS) are revisited. A previously published definition of a partiality model for reflections illuminated by self-amplified spontaneous emission (SASE) pulses is built upon, which defines a fraction between 0 and 1 based on the intersection of a reflection with a spread of Ewald spheres modelled by a super-Gaussian wavelength distribution in the X-ray beam. A method of post-refinement to refine the parameters of this model is suggested. This has generated a merged data set with an overall discrepancy (by calculating the R{sub split} value) of 3.15% to 1.46 Å resolution from a 7225-image data set. The atomic numbers of C, N and O atoms in the structure are distinguishable in the electron-density map. There are 13 S atoms within the 237 residues of CPV17, excluding the initial disordered methionine. These only possess 0.42 anomalous scattering electrons each at 1.3 Å wavelength, but the 12 that have single predominant positions are easily detectable in the anomalous difference Fourier map. It is hoped that these improvements will lead towards XFEL experimental phase determination and structure determination by sulfur SAD and will

Exchange credit risk: Measurement and implications on the stability of partially dollarized financial systems

Directory of Open Access Journals (Sweden)

Ernesto Mordecki

2013-06-01

Full Text Available Some emergent economies present a high financial dollarization in loans and deposits, generating a specific risk in the banking activity. We quantify this exchange credit risk as the price of an option equivalent to this loan, and discuss the financial stability implications due to the (implicit issuance of these options. The exchange rate is modeled through a Levy process. The depth of the market depends on the type of the currencies involved. Whenever possible, we depart from option prices to calibrate a model, like in the EUR/USD market. But if the market is not liquid, as the USD/UYU market, we provide alternative pricing methodologies.

Credit Cards. Bulletin No. 721. (Revised.)

Science.gov (United States)

Fox, Linda Kirk

This cooperative extension bulletin provides basic information about credit cards and their use. It covers the following topics: types of credit cards (revolving credit, travel and entertainment, and debit); factors to consider when evaluating a credit card (interest rates, grace period, and annual membership fee); other credit card costs (late…

7 CFR 4280.139 - Credit quality.

Science.gov (United States)

2010-01-01

... 7 Agriculture 15 2010-01-01 2010-01-01 false Credit quality. 4280.139 Section 4280.139 Agriculture... Improvements Program Section B. Guaranteed Loans § 4280.139 Credit quality. The lender must determine credit quality and must address all of the elements of credit quality in a written credit analysis, including...

Value of credit bureau reports

Directory of Open Access Journals (Sweden)

Brković Milan

2017-01-01

Full Text Available An efficient system of credit information sharing contributes to solving the problem of information asymmetry on the credit and financial markets in general. The consequences of the global economic and financial crisis revealed an increasing demand for reliable information and data which could close the existing gap in their insufficiency, misuse or inadequate analytical value for the economic and financial policy makers. In that sense, more attention is directed to the usefulness of credit information sharing and the practical value of information and data contained in credit bureau reports for the purposes of achieving the overall economic policy goals. The fulfillment of that role depends mostly on the credit information sharing system and its characteristics, participants, and procedures. A credit bureau report in the best possible manner reflects all advantages and disadvantages of the established credit information exchange system in terms of its analytical value for the purposes of efficient macroeconomic and macrofinancial policies.

An improved recommended algorithm for network structure based on two partial graphs

Directory of Open Access Journals (Sweden)

Deng Song

2017-08-01

Full Text Available In this thesis,we introduce an improved algorithm based on network structure.Based on the standard material diffusion algorithm,considering the influence of the user's score on the recommendation,the adjustment factor of the initial resource allocation vector and the resource transfer matrix in the recommendation algorithm is improved.Using the practical data set from GroupLens webite to evaluate the performance of the proposed algorithm,we performed a series of experiments.The experimental results reveal that it can yield better recommendation accuracy and has higher hitting rate than collaborative filtering,network-based inference.It can solve the problem of cold start and scalability in the standard material diffusion algorithm.And it also can make the recommendation results diversified.

An Ordering Linear Unification Algorithm

Institute of Scientific and Technical Information of China (English)

胡运发

1989-01-01

In this paper,we present an ordering linear unification algorithm(OLU).A new idea on substituteion of the binding terms is introduced to the algorithm,which is able to overcome some drawbacks of other algorithms,e.g.,MM algorithm[1],RG1 and RG2 algorithms[2],Particularly,if we use the directed eyclie graphs,the algoritm needs not check the binding order,then the OLU algorithm can also be aplied to the infinite tree data struceture,and a higher efficiency can be expected.The paper focuses upon the discussion of OLU algorithm and a partial order structure with respect to the unification algorithm.This algorithm has been implemented in the GKD-PROLOG/VAX 780 interpreting system.Experimental results have shown that the algorithm is very simple and efficient.

12 CFR 703.6 - Credit analysis.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Credit analysis. 703.6 Section 703.6 Banks and... ACTIVITIES § 703.6 Credit analysis. A Federal credit union must conduct and document a credit analysis on an... Federal Deposit Insurance Corporation. A Federal credit union must update this analysis at least annually...

Trust and Credit

DEFF Research Database (Denmark)

Harste, Gorm

The present paper is an answer to the question, how did trust and credit emerge. The systems of trust and credit reduce the environmental and contextual complexities in which trust and credit are embedded. The paper analyses the forms of this reduction in a number of stages in the evolution...... of history from the present risk of modern systems back to early modernity, the Reformation and the high medieval Revolutions in law, organization and theology. It is not a history of economics, but a history of the conditions of some communication codes used in economic systems....

Credit Risk Modeling

DEFF Research Database (Denmark)

Lando, David

Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers...... and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand...

Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA

International Nuclear Information System (INIS)

Khalili-Damghani, Kaveh; Amiri, Maghsoud

2012-01-01

In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation series-parallel problem (MORAP). In first module, a set of qualified non-dominated solutions on Pareto front of binary-state MORAP is generated using an efficient epsilon-constraint method. In order to test the quality of generated non-dominated solutions in this module, a multi-start partial bound enumeration algorithm is also proposed for MORAP. The performance of both procedures is compared using different metrics on well-known benchmark instance. The statistical analysis represents that not only the proposed efficient epsilon-constraint method outperform the multi-start partial bound enumeration algorithm but also it improves the founded upper bound of benchmark instance. Then, in second module, a DEA model is supplied to prune the generated non-dominated solutions of efficient epsilon-constraint method. This helps reduction of non-dominated solutions in a systematic manner and eases the decision making process for practical implementations. - Highlights: ► A procedure based on efficient epsilon-constraint method and DEA was proposed for solving MORAP. ► The performance of proposed procedure was compared with a multi-start PBEA. ► Methods were statistically compared using multi-objective metrics.

How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Directory of Open Access Journals (Sweden)

Jenna Burrell

2016-01-01

Full Text Available This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this work. In this article, I draw a distinction between three forms of opacity: (1 opacity as intentional corporate or state secrecy, (2 opacity as technical illiteracy, and (3 an opacity that arises from the characteristics of machine learning algorithms and the scale required to apply them usefully. The analysis in this article gets inside the algorithms themselves. I cite existing literatures in computer science, known industry practices (as they are publicly presented, and do some testing and manipulation of code as a form of lightweight code audit. I argue that recognizing the distinct forms of opacity that may be coming into play in a given application is a key to determining which of a variety of technical and non-technical solutions could help to prevent harm.

Documentary Credit Transfer and Other Financing from What Can Match as Product of Credit

Directory of Open Access Journals (Sweden)

Libardo Quintero Salazar

2016-12-01

Full Text Available When a contract of international sale of goods is mediated by a form of payment as the documentary credit, exporters that initially lack financial resources to produce or obtain merchandise that then will be delivered to the importer, look as first natural possibility of financing the transfer for the documentary credit. Now not always the credit can be transferable in accordance with the Uniform Customs and Practice for Documentary Credits (UCP – because, for example, the importer or the financial entity do not want it in that way. Given the above scenario, this article aims to provide solutions, explaining legal alternatives for the exporter that is not in the UCP-, to use the money that might correspond as a result of the documentary credit, to finance the production or acquisition of goods against other traders, and then reselling them to the importer. It concludes that the exporter can achieve such immediate funding - similar to what encourage the transfer of documentary credit - using to their relations with the supplier, figures as the assignment of a future credit, banker’s acceptance and contract terms.

Modern bank's credit risk

Directory of Open Access Journals (Sweden)

Šabović Šerif

2015-01-01

Full Text Available Credit risk is the most important risk banks have to face with. It occurs due to an obligation created because of debtors' capital and interest rate nonpayment. Debtors obligations non-fulfilment may lead to great losses and insolvency in bank's business. Credit risk is the crucial reason of bank's insolvency. Over 80% of bank's balance sheet is exposed to credit risk.

Inventory and Credit Decisions under Day-Terms Credit Linked Demand and Allowance for Bad Debts

Directory of Open Access Journals (Sweden)

K. K. Aggarwal

2014-01-01

Full Text Available In order to stimulate demand of their product, firms generally give credit period to their customers. However, selling on credit exposes the firms to the additional dimension of bad debts expense (i.e., customer’s default. Moreover, credit period through its influence on demand becomes a determinant of inventory decisions and inventory sold on credit gets converted to accounts receivable indicating the interaction between the two. Since inventory and credit decisions are interrelated, inventory decisions must be determined jointly with credit decisions. Consequently, in this paper, a mathematical model is developed to determine inventory and credit decisions jointly. The demand rate is assumed to be a logistic function of credit period. The accounts receivable carrying cost along with an explicit consideration of bad debt expense which have been often ignored in previous models are incorporated in the present model. The discounted cash flow approach (DCF is used to develop the model and the objective is to maximize the present value of the firm’s net profit per unit time. Finally, numerical example and sensitivity analysis have been done to illustrate the effectiveness of the proposed model.

Partial Deconvolution with Inaccurate Blur Kernel.

Science.gov (United States)

Ren, Dongwei; Zuo, Wangmeng; Zhang, David; Xu, Jun; Zhang, Lei

2017-10-17

Most non-blind deconvolution methods are developed under the error-free kernel assumption, and are not robust to inaccurate blur kernel. Unfortunately, despite the great progress in blind deconvolution, estimation error remains inevitable during blur kernel estimation. Consequently, severe artifacts such as ringing effects and distortions are likely to be introduced in the non-blind deconvolution stage. In this paper, we tackle this issue by suggesting: (i) a partial map in the Fourier domain for modeling kernel estimation error, and (ii) a partial deconvolution model for robust deblurring with inaccurate blur kernel. The partial map is constructed by detecting the reliable Fourier entries of estimated blur kernel. And partial deconvolution is applied to wavelet-based and learning-based models to suppress the adverse effect of kernel estimation error. Furthermore, an E-M algorithm is developed for estimating the partial map and recovering the latent sharp image alternatively. Experimental results show that our partial deconvolution model is effective in relieving artifacts caused by inaccurate blur kernel, and can achieve favorable deblurring quality on synthetic and real blurry images.Most non-blind deconvolution methods are developed under the error-free kernel assumption, and are not robust to inaccurate blur kernel. Unfortunately, despite the great progress in blind deconvolution, estimation error remains inevitable during blur kernel estimation. Consequently, severe artifacts such as ringing effects and distortions are likely to be introduced in the non-blind deconvolution stage. In this paper, we tackle this issue by suggesting: (i) a partial map in the Fourier domain for modeling kernel estimation error, and (ii) a partial deconvolution model for robust deblurring with inaccurate blur kernel. The partial map is constructed by detecting the reliable Fourier entries of estimated blur kernel. And partial deconvolution is applied to wavelet-based and learning

Credit Card Debt Hardship Letter Samples

OpenAIRE

lissa coffey

2016-01-01

Having trouble with your credit card debt? Below you will find examples of hardship letters. There are several things to consider when writing a credit card hardship letter. A hardship letter is the first step to letting the credit card company know that things are bad. This free credit card hardship letter sample is only a guide in order to start the negotiation. Credit card debt hardship letter example, hardship letter to credit card. If you are having trouble paying off your debt and need ...

Credit cues and impression management: a preliminary attempt to explain the credit card effect.

Science.gov (United States)

McCall, Michael; Trombetta, Jessica; Gipe, Aimee

2004-08-01

Prior research had suggested that individuals would estimate higher product values and even tip more in the presence of credit cues. In the absence of a clear theoretical interpretation of this credit card effect we propose that this tendency is an impression management strategy such that credit cue exposure influences perceptions of the self and focuses attention on individual wealth. Thus, in the presence of others, credit cues serve to enhance images of the self. Preliminary data in support of this alternative theoretical perspective are presented.

Permit trading and credit trading

DEFF Research Database (Denmark)

Boom, Jan-Tjeerd; R. Dijstra, Bouwe

This paper compares emissions trading based on a cap on total emissions (permit trading) and on relative standards per unit of output (credit trading). Two types of market structure are considered: perfect competition and Cournot oligopoly. We find that output, abatement costs and the number...... of firms are higher under credit trading. Allowing trade between permit-trading and credit-trading sectors may increase in welfare. With perfect competition, permit trading always leads to higher welfare than credit trading. With imperfect competition, credit trading may outperform permit trading....... Environmental policy can lead to exit, but also to entry of firms. Entry and exit have a profound impact on the performance of the schemes, especially under imperfect competition. We find that it may be impossible to implement certain levels of total industry emissions. Under credit trading several levels...

Overrated credit risk: three essays on credit risk in turbulent times

NARCIS (Netherlands)

Bongaerts, D.G.J.

2010-01-01

Credit markets have shown a dramatic development at the start of the 21st century. Increased regulatory pressure on financial institutions has spurred the development of innovative products that allow for transfer of credit risk. These developments lay at the base of the largest financial crisis

The Impact of Financial Development on the Relationship between Trade Credit, Bank Credit and Firm Characteristics

OpenAIRE

Jézabel Couppey-Soubeyran; Jérôme Héricourt

2013-01-01

Using a database of more than 1,300 firms from six countries in the MENA region, we study the impact of financial development on the relationship between trade credit on the one hand and bank credit access and firm-level characteristics, especially financial health, on the other hand. Trade credit use increases with the difficulty for gaining access to bank credit, and indicators of the quality of the firm's financial structure negatively influence the use of trade credit. Additional investig...

The "Negative" Credit Card Effect: Credit Cards as Spending-Limiting Stimuli in New Zealand

Science.gov (United States)

Lie, Celia; Hunt, Maree; Peters, Heather L.; Veliu, Bahrie; Harper, David

2010-01-01

The "credit card effect" describes a finding where greater value is given to consumer items if credit card logos are present. One explanation for the effect is that credit cards elicit spending behavior through associative learning. If this is true, social, economic and historical contexts should alter this effect. In Experiment 1, Year…

Partial volume and aliasing artefacts in helical cone-beam CT

International Nuclear Information System (INIS)

Zou Yu; Sidky, Emil Y; Pan, Xiaochuan

2004-01-01

A generalization of the quasi-exact algorithms of Kudo et al (2000 IEEE Trans. Med. Imaging 19 902-21) is developed that allows for data acquisition in a 'practical' frame for clinical diagnostic helical, cone-beam computed tomography (CT). The algorithm is investigated using data that model nonlinear partial volume averaging. This investigation leads to an understanding of aliasing artefacts in helical, cone-beam CT image reconstruction. An ad hoc scheme is proposed to mitigate artefacts due to the nonlinear partial volume and aliasing artefacts

Intertemporal consumption and credit constraints

DEFF Research Database (Denmark)

Leth-Petersen, Søren

2010-01-01

There is continuing controversy over the importance of credit constraints. This paper investigates whether total household expenditure and debt is affected by an exogenous increase in access to credit provided by a credit market reform that enabled Danish house owners to use housing equity...

Production inventory model for two-level trade credit financing under the effect of preservation technology and learning in supply chain

Directory of Open Access Journals (Sweden)

Sunil Kumar

2015-12-01

Full Text Available The present study investigated the inventory model for a retailer under two levels of trade credit to reflect the supply chain management. Supplier offers trade credit period of M to the retailer while in turn retailer provides a trade credit period of N to his/her customers. The supplier is willing to provide the retailer a full trade credit period for payments and the retailer offers the partial trade credit period to his/her customers. Here, selling items are considered as perishable items such as fruits, fresh fishes, gasoline, photographic films, etc. so that its potential worth decreases. It is assumed that decay in potential worth of items can be increased by using preservation technology. The demand is considered as the function of selling price and trade credit. Ordering cost can be reducing due to learning by doing phenomenon. By applying convex fractional programming results, we obtain necessary and sufficient conditions of an optimal solution. Some theorems are developed to determine retailer’s optimal ordering policies and numerical examples are given to illustrate these theorems. In addition, some managerial insights from the numerical examples are also concluded.

Dynamic Diversification in Corporate Credit

DEFF Research Database (Denmark)

Christoffersen, Peter; Jacobs, Kris; Jin, Xisong

We characterize diversification in corporate credit using a new class of dynamic copula models which can capture dynamic dependence and asymmetry in large samples of firms. We also document important differences between credit spread and equity return dependence dynamics. Modeling a decade...... the crisis and remain high as well. The most important shocks to credit dependence occur in August of 2007 and in August of 2011, but interestingly these dates are not associated with significant changes to median credit spreads....

12 CFR 615.5172 - Production credit association and agricultural credit association investment in farmers' notes...

Science.gov (United States)

2010-01-01

... credit association investment in farmers' notes given to cooperatives and dealers. 615.5172 Section 615....5172 Production credit association and agricultural credit association investment in farmers' notes... farmers and ranchers eligible to borrow from such associations. (b) Such notes and other obligations...

Burnup credit in Spain

International Nuclear Information System (INIS)

Conde, J.M.; Recio, M.

2001-01-01

The status of development of burnup credit for criticality safety analyses in Spain is described in this paper. Ongoing activities in the country in this field, both national and international, are resumed. Burnup credit is currently being applied to wet storage of PWR fuel, and credit to integral burnable absorbers is given for BWR fuel storage. It is envisaged to apply burnup credit techniques to the new generation of transport casks now in the design phase. The analysis methodologies submitted for the analyses of PWR and BWR fuel wet storage are outlined. Analytical activities in the country are described, as well as international collaborations in this field. Perspectives for future research and development of new applications are finally resumed. (author)

Dual Credit Report

Science.gov (United States)

Light, Noreen

2016-01-01

In 2015, legislation to improve access to dual-credit programs and to reduce disparities in access and completion--particularly for low income and underrepresented students--was enacted. The new law focused on expanding access to College in the High School but acknowledged issues in other dual-credit programs and reinforced the notion that cost…

Limited take-up of health coverage tax credits: a challenge to future tax credit design.

Science.gov (United States)

Dorn, Stan; Varon, Janet; Pervez, Fouad

2005-10-01

The Trade Act of 2002 created federal tax credits to subsidize health coverage for certain early retirees and workers displaced by international trade. Though small, this program offers the opportunity to learn how to design future tax credits for larger groups of uninsured. During September 2004, the most recent month for which there are data about all forms of Trade Act credits, roughly 22 percent of eligible individuals received credits. The authors find that health insurance tax credits are more likely to reach their target populations if such credits: 1) limit premium costs for the low-income uninsured and do not require full premium payments while applications are pending; 2) provide access to coverage that beneficiaries value, including care for preexisting conditions; 3) are combined with outreach that uses easily understandable, multilingual materials and proactive enrollment efforts; and 4) feature a simple application process involving one form filed with one agency.

12 CFR 614.4125 - Funding and discount relationships between Farm Credit Banks or agricultural credit banks and...

Science.gov (United States)

2010-01-01

..., Risk Management, Farm Credit System Insurance Corporation. (f) A direct lender association shall... Administration office that the Chief Examiner designates, and the Director, Risk Management, Farm Credit System... Credit Banks or agricultural credit banks and direct lender associations. 614.4125 Section 614.4125 Banks...

Follow Up: Credit Card Caution

Science.gov (United States)

Cahill, Timothy P.

2007-01-01

In "Pushing Plastic," ("The New England Journal of Higher Education", Summer 2007), John Humphrey notes that many college administrators justify their credit card solicitations by suggesting that credit card access will help students learn to manage their own finances. Instead, credit card debt will teach thousands of students…

49 CFR 260.13 - Credit reform.

Science.gov (United States)

2010-10-01

... appropriations, direct payment of a Credit Risk Premium by the Applicant or a non-Federal infrastructure partner... 49 Transportation 4 2010-10-01 2010-10-01 false Credit reform. 260.13 Section 260.13... REHABILITATION AND IMPROVEMENT FINANCING PROGRAM Overview § 260.13 Credit reform. The Federal Credit Reform Act...

76 FR 79531 - Corporate Credit Unions

Science.gov (United States)

2011-12-22

... exclude CLF stock subscriptions, based on the asset's negligible credit risk and to facilitate corporate... removing paragraphs (c)(3) and (f)(4) and adding paragraph (h) to read as follows: Sec. 704.6 Credit risk... NATIONAL CREDIT UNION ADMINISTRATION 12 CFR Part 704 RIN 3133-AD95 Corporate Credit Unions AGENCY...

Your Credit Rights: An Instructional Unit on Consumer Credit Protection. Revised.

Science.gov (United States)

Jensen, Barbara J.; And Others

This instructional guide adds two new sections to the original guide published in May 1982. The guide was designed to assist educators in teaching the topics of consumer credit and consumer credit protection to secondary and postsecondary students in various economics and business courses, as well as in adult and community education courses. The…

Parallel Algorithm Solves Coupled Differential Equations

Science.gov (United States)

Hayashi, A.

1987-01-01

Numerical methods adapted to concurrent processing. Algorithm solves set of coupled partial differential equations by numerical integration. Adapted to run on hypercube computer, algorithm separates problem into smaller problems solved concurrently. Increase in computing speed with concurrent processing over that achievable with conventional sequential processing appreciable, especially for large problems.

12 CFR 614.4720 - Letters of credit.

Science.gov (United States)

2010-01-01

... Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM LOAN POLICIES AND OPERATIONS Banks for Cooperatives and Agricultural Credit Banks Financing International Trade § 614.4720 Letters of credit. Banks for cooperatives and agricultural credit banks, under policies adopted by their boards of directors...

Optimal replenishment and credit policy in supply chain inventory model under two levels of trade credit with time- and credit-sensitive demand involving default risk

Science.gov (United States)

Mahata, Puspita; Mahata, Gour Chandra; Kumar De, Sujit

2018-03-01

Traditional supply chain inventory modes with trade credit usually only assumed that the up-stream suppliers offered the down-stream retailers a fixed credit period. However, in practice the retailers will also provide a credit period to customers to promote the market competition. In this paper, we formulate an optimal supply chain inventory model under two levels of trade credit policy with default risk consideration. Here, the demand is assumed to be credit-sensitive and increasing function of time. The major objective is to determine the retailer's optimal credit period and cycle time such that the total profit per unit time is maximized. The existence and uniqueness of the optimal solution to the presented model are examined, and an easy method is also shown to find the optimal inventory policies of the considered problem. Finally, numerical examples and sensitive analysis are presented to illustrate the developed model and to provide some managerial insights.

A Numerical Instability in an ADI Algorithm for Gyrokinetics

International Nuclear Information System (INIS)

Belli, E.A.; Hammett, G.W.

2004-01-01

We explore the implementation of an Alternating Direction Implicit (ADI) algorithm for a gyrokinetic plasma problem and its resulting numerical stability properties. This algorithm, which uses a standard ADI scheme to divide the field solve from the particle distribution function advance, has previously been found to work well for certain plasma kinetic problems involving one spatial and two velocity dimensions, including collisions and an electric field. However, for the gyrokinetic problem we find a severe stability restriction on the time step. Furthermore, we find that this numerical instability limitation also affects some other algorithms, such as a partially implicit Adams-Bashforth algorithm, where the parallel motion operator v parallel ∂/∂z is treated implicitly and the field terms are treated with an Adams-Bashforth explicit scheme. Fully explicit algorithms applied to all terms can be better at long wavelengths than these ADI or partially implicit algorithms

Who Gets the Credit? Who Pays the Consequences? The Illinois Tuition Tax Credit. Special Report.

Science.gov (United States)

Pathak, Arohi; Keenan, Nancy

In 1999, Illinois enacted a tuition tax credit program. Tax credit supporters suggest tax credits help low-income students. However, opponents argue that they disproportionately benefit higher-income families whose children are already attending private schools and may decrease already limited resources available to public schools. New data from…

Forecasting the value of credit scoring

Science.gov (United States)

Saad, Shakila; Ahmad, Noryati; Jaffar, Maheran Mohd

2017-08-01

Nowadays, credit scoring system plays an important role in banking sector. This process is important in assessing the creditworthiness of customers requesting credit from banks or other financial institutions. Usually, the credit scoring is used when customers send the application for credit facilities. Based on the score from credit scoring, bank will be able to segregate the "good" clients from "bad" clients. However, in most cases the score is useful at that specific time only and cannot be used to forecast the credit worthiness of the same applicant after that. Hence, bank will not know if "good" clients will always be good all the time or "bad" clients may become "good" clients after certain time. To fill up the gap, this study proposes an equation to forecast the credit scoring of the potential borrowers at a certain time by using the historical score related to the assumption. The Mean Absolute Percentage Error (MAPE) is used to measure the accuracy of the forecast scoring. Result shows the forecast scoring is highly accurate as compared to actual credit scoring.

A partial entropic lattice Boltzmann MHD simulation of the Orszag-Tang vortex

Science.gov (United States)

Flint, Christopher; Vahala, George

2018-02-01

Karlin has introduced an analytically determined entropic lattice Boltzmann (LB) algorithm for Navier-Stokes turbulence. Here, this is partially extended to an LB model of magnetohydrodynamics, on using the vector distribution function approach of Dellar for the magnetic field (which is permitted to have field reversal). The partial entropic algorithm is benchmarked successfully against standard simulations of the Orszag-Tang vortex [Orszag, S.A.; Tang, C.M. J. Fluid Mech. 1979, 90 (1), 129-143].

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.

Science.gov (United States)

Dal Pozzolo, Andrea; Boracchi, Giacomo; Caelen, Olivier; Alippi, Cesare; Bontempi, Gianluca

2017-09-14

Detecting frauds in credit card transactions is perhaps one of the best testbeds for computational intelligence algorithms. In fact, this problem involves a number of relevant challenges, namely: concept drift (customers' habits evolve and fraudsters change their strategies over time), class imbalance (genuine transactions far outnumber frauds), and verification latency (only a small set of transactions are timely checked by investigators). However, the vast majority of learning algorithms that have been proposed for fraud detection rely on assumptions that hardly hold in a real-world fraud-detection system (FDS). This lack of realism concerns two main aspects: 1) the way and timing with which supervised information is provided and 2) the measures used to assess fraud-detection performance. This paper has three major contributions. First, we propose, with the help of our industrial partner, a formalization of the fraud-detection problem that realistically describes the operating conditions of FDSs that everyday analyze massive streams of credit card transactions. We also illustrate the most appropriate performance measures to be used for fraud-detection purposes. Second, we design and assess a novel learning strategy that effectively addresses class imbalance, concept drift, and verification latency. Third, in our experiments, we demonstrate the impact of class unbalance and concept drift in a real-world data stream containing more than 75 million transactions, authorized over a time window of three years.

CREDIT Performance Indicator Framework

DEFF Research Database (Denmark)

Frandsen, Anne Kathrine; Bertelsen, Niels Haldor; Haugbølle, Kim

2010-01-01

During the past two years the Nordic Baltic research project CREDIT (Construction and Real Estate – Developing Indicators for Transparency) has worked with the aim to improve transparency of value creation in building and real estate. One of the central deliverables of the CREDIT project was a fr......During the past two years the Nordic Baltic research project CREDIT (Construction and Real Estate – Developing Indicators for Transparency) has worked with the aim to improve transparency of value creation in building and real estate. One of the central deliverables of the CREDIT project...... was a framework of indicators relevant in building and real estate and applicable in the Nordic and Baltic countries as well as a proposal for a set of key indicators. The study resulting in CREDIT Performance Indicator Framework has been based on 28 case studies of evaluation practises in the building and real...... estate sector each addressing three interlinked levels: building/ projects level, company or enterprise level and benchmarking system level. Additionally it has been based on dialogue with researchers and professional organisation, international research and standardisation work and national building...

12 CFR 704.6 - Credit risk management.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Credit risk management. 704.6 Section 704.6... CREDIT UNIONS § 704.6 Credit risk management. (a) Policies. A corporate credit union must operate according to a credit risk management policy that is commensurate with the investment risks and activities...

A review on quantum search algorithms

Science.gov (United States)

Giri, Pulak Ranjan; Korepin, Vladimir E.

2017-12-01

The use of superposition of states in quantum computation, known as quantum parallelism, has significant advantage in terms of speed over the classical computation. It is evident from the early invented quantum algorithms such as Deutsch's algorithm, Deutsch-Jozsa algorithm and its variation as Bernstein-Vazirani algorithm, Simon algorithm, Shor's algorithms, etc. Quantum parallelism also significantly speeds up the database search algorithm, which is important in computer science because it comes as a subroutine in many important algorithms. Quantum database search of Grover achieves the task of finding the target element in an unsorted database in a time quadratically faster than the classical computer. We review Grover's quantum search algorithms for a singe and multiple target elements in a database. The partial search algorithm of Grover and Radhakrishnan and its optimization by Korepin called GRK algorithm are also discussed.

Private Sector Credit and Inflation Volatility

Directory of Open Access Journals (Sweden)

Lorna Katusiime

2018-04-01

Full Text Available This paper investigates the effect of inflation volatility on private sector credit growth. The results indicate that private sector credit growth is positively linked to the one period lagged inflation volatility. Given that past monetary policy actions continue to affect the targeted variables due to the substantial lags in the transmission mechanism, the positive response of private sector credit growth to past inflation volatility suggests a credible monetary policy regime in Uganda, which has led to a reduction in the level of macroeconomic uncertainty and the restoration of favorable economic conditions and prospects, thus increasing the demand for credit. Further, the study finds that the lagged private sector credit growth, nominal exchange rate, and inflation have a statistically significant effect on private sector credit growth while financial innovation, interest rates, and GDP growth appear not to be important determinants of private sector credit growth. The robustness of our findings is confirmed by sensitivity checks.

12 CFR 619.9145 - Farm Credit Bank.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Farm Credit Bank. 619.9145 Section 619.9145 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM DEFINITIONS § 619.9145 Farm Credit Bank. The term Farm Credit Bank refers to a bank resulting from the mandatory merger of the Federal land...

Incorporating partial shining effects in proton pencil-beam dose calculation

International Nuclear Information System (INIS)

Li Yupeng; Zhang Xiaodong; Lii Mingfwu; Sahoo, Narayan; Zhu, Ron X; Gillin, Michael; Mohan, Radhe

2008-01-01

A range modulator wheel (RMW) is an essential component in passively scattered proton therapy. We have observed that a proton beam spot may shine on multiple steps of the RMW. Proton dose calculation algorithms normally do not consider the partial shining effect, and thus overestimate the dose at the proximal shoulder of spread-out Bragg peak (SOBP) compared with the measurement. If the SOBP is adjusted to better fit the plateau region, the entrance dose is likely to be underestimated. In this work, we developed an algorithm that can be used to model this effect and to allow for dose calculations that better fit the measured SOBP. First, a set of apparent modulator weights was calculated without considering partial shining. Next, protons spilled from the accelerator reaching the modulator wheel were simplified as a circular spot of uniform intensity. A weight-splitting process was then performed to generate a set of effective modulator weights with the partial shining effect incorporated. The SOBPs of eight options, which are used to label different combinations of proton-beam energy and scattering devices, were calculated with the generated effective weights. Our algorithm fitted the measured SOBP at the proximal and entrance regions much better than the ones without considering partial shining effect for all SOBPs of the eight options. In a prostate patient, we found that dose calculation without considering partial shining effect underestimated the femoral head and skin dose

CORRELATED ANALYSIS OF CLIENT-CREDIT COST WITH THE ONE OF SUPPLIER - CREDIT COST

Directory of Open Access Journals (Sweden)

MIRELA MONEA

2012-01-01

Full Text Available The given client-credit has associated several types of costs. If a company gives client-credit for a certain period of time, then it will have to finance its activity from other sources. Another aspect is the one related to the size of allotted sum. The sum that must be covered does not equal the turnover. The impact on financing the operating cycle is found usually only under the form of expenses which are made up of variable costs (because amortization must not be paid, the profit is included in the price. Thus, the sum which must be covered is not related to the non-cashed turnover from the client-credit, but only to variable costs. This will be the sum that must be covered from the financing sources. Supplier-credit is a source attracted, usually it has no cost.

Trade credit supply, market power and the matching of trade credit terms

NARCIS (Netherlands)

Fabbri, D.; Klapper, L.F.

2008-01-01

This paper studies the decision of firms to extend trade credit to customers and its relation with their financing decisions. We use a novel firm-level database with unique information on market power in both output and input markets and on the amount, terms and payment history of trade credit

Phase retrieval from diffraction data utilizing pre-determined partial information

International Nuclear Information System (INIS)

Kim, S.S.; Marathe, S.; Kim, S.N.; Kang, H.C.; Noh, D.Y.

2007-01-01

We developed a phase retrieval algorithm that utilizes pre-determined partial phase information to overcome insufficient oversampling ratio in diffraction data. Implementing the Fourier modulus projection and the modified support projection manifesting the pre-determined information, a generalized difference map and HIO (Hybrid Input-Output) algorithms are developed. Optical laser diffraction data as well as simulated X-ray diffraction data are used to illustrate the validity of the proposed algorithm, which revealed the strength and the limitations of the algorithm. The proposed algorithm can expand the applicability of the diffraction based image reconstruction

Reasoning about Strategies under Partial Observability and Fairness Constraints

Directory of Open Access Journals (Sweden)

Simon Busard

2013-03-01

Full Text Available A number of extensions exist for Alternating-time Temporal Logic; some of these mix strategies and partial observability but, to the best of our knowledge, no work provides a unified framework for strategies, partial observability and fairness constraints. In this paper we propose ATLK^F_po, a logic mixing strategies under partial observability and epistemic properties of agents in a system with fairness constraints on states, and we provide a model checking algorithm for it.

Did Globalization Influence Credit Market Deregulation

OpenAIRE

Eppinger, Peter; Potrafke, Niklas

2015-01-01

We investigate whether globalization influenced credit market deregulation over the period 1970-2010. Globalization is measured by the KOF indices of globalization. Credit market deregulation is measured by the credit market freedom indicators of the Fraser Institute. The results from both cross-sectional and panel regressions using ordinary least squares indicate a positive correlation between globalization and credit market deregulation. We account for reverse causality by using predicted t...

Service quality in consumer's credit branch

OpenAIRE

Blechová, Věra

2008-01-01

The diploma thesis deals with consumer's credit grants of banking and non-banking corporations and comparison of their service quality. The first part of research is dedicated to consumer's knowledge of credit issues. Second describes main difficulties of consumer's credit grants of banking and non-banking corporations and proves their use of unfair manners. The final part of thesis propose improvements, which will boost consumer's protection on field of consumer's credits.

Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm.

Science.gov (United States)

de Almeida, Valber Elias; de Araújo Gomes, Adriano; de Sousa Fernandes, David Douglas; Goicoechea, Héctor Casimiro; Galvão, Roberto Kawakami Harrop; Araújo, Mario Cesar Ugulino

2018-05-01

This paper proposes a new variable selection method for nonlinear multivariate calibration, combining the Successive Projections Algorithm for interval selection (iSPA) with the Kernel Partial Least Squares (Kernel-PLS) modelling technique. The proposed iSPA-Kernel-PLS algorithm is employed in a case study involving a Vis-NIR spectrometric dataset with complex nonlinear features. The analytical problem consists of determining Brix and sucrose content in samples from a sugar production system, on the basis of transflectance spectra. As compared to full-spectrum Kernel-PLS, the iSPA-Kernel-PLS models involve a smaller number of variables and display statistically significant superiority in terms of accuracy and/or bias in the predictions. Published by Elsevier B.V.

The application of cat swarm optimisation algorithm in classifying small loan performance

Science.gov (United States)

Kencana, Eka N.; Kiswanti, Nyoman; Sari, Kartika

2017-10-01

It is common for banking system to analyse the feasibility of credit application before its approval. Although this process has been carefully done, there is no warranty that all credits will be repaid smoothly. This study aimed to know the accuracy of Cat Swarm Optimisation (CSO) algorithm in classifying small loans’ performance that is approved by Bank Rakyat Indonesia (BRI), one of several public banks in Indonesia. Data collected from 200 lenders were used in this work. The data matrix consists of 9 independent variables that represent profile of the credit, and one categorical dependent variable reflects credit’s performance. Prior to the analyses, data was divided into two data subset with equal size. Ordinal logistic regression (OLR) procedure is applied for the first subset and gave 3 out of 9 independent variables i.e. the amount of credit, credit’s period, and income per month of lender proved significantly affect credit performance. By using significantly estimated parameters from OLR procedure as the initial values for observations at the second subset, CSO procedure started. This procedure gave 76 percent of classification accuracy of credit performance, slightly better compared to 64 percent resulted from OLR procedure.

Value of burnup credit beyond actinides

International Nuclear Information System (INIS)

Lancaster, D.; Fuentes, E.; Kang, Chi.

1997-01-01

DOE has submitted a topical report to the NRC justifying burnup credit based only on actinide isotopes (U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, Pu-242, and Am-241). When this topical report is approved, it will allow a great deal of the commercial spent nuclear fuel to be transported in significantly higher capacity casks. A cost savings estimate for shipping fuel in 32 assembly (burnup credit) casks as opposed to 24 assembly (non-burnup credit) casks was previously presented. Since that time, more detailed calculations have been performed using the methodology presented in the Actinide-Only Burnup Credit Topical Report. Loading curves for derated casks have been generated using actinide-only burnup credit and are presented in this paper. The estimates of cost savings due to burnup credit for shipping fuel utilizing 32, 30, 28, and 24 assembly casks where only the 24 assembly cask does not burnup credit have been created and are discussed. 4 refs., 2 figs

12 CFR 619.9140 - Farm Credit bank(s).

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Farm Credit bank(s). 619.9140 Section 619.9140 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM DEFINITIONS § 619.9140 Farm Credit bank(s). Except as otherwise defined, the term Farm Credit bank(s) includes Farm Credit Banks...

Credit Cycle and Adverse Selection Effects in Consumer Credit Markets – Evidence from the HELOC Market

NARCIS (Netherlands)

Calem, P.; Cannon, M.; Nakamura, L.I.

2011-01-01

We empirically study how the underlying riskiness of the pool of home equity line of credit originations is affected over the credit cycle. Drawing from the largest existing database of U.S. home equity lines of credit, we use county-level aggregates of these loans to estimate panel regressions on

24 CFR 206.37 - Credit standing.

Science.gov (United States)

2010-04-01

... CONVERSION MORTGAGE INSURANCE Eligibility; Endorsement Eligible Mortgagors § 206.37 Credit standing. Each mortgagor must have a general credit standing satisfactory to the Secretary. ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Credit standing. 206.37 Section 206...

Phylogenetic search through partial tree mixing

Science.gov (United States)

2012-01-01

Background Recent advances in sequencing technology have created large data sets upon which phylogenetic inference can be performed. Current research is limited by the prohibitive time necessary to perform tree search on a reasonable number of individuals. This research develops new phylogenetic algorithms that can operate on tens of thousands of species in a reasonable amount of time through several innovative search techniques. Results When compared to popular phylogenetic search algorithms, better trees are found much more quickly for large data sets. These algorithms are incorporated in the PSODA application available at http://dna.cs.byu.edu/psoda Conclusions The use of Partial Tree Mixing in a partition based tree space allows the algorithm to quickly converge on near optimal tree regions. These regions can then be searched in a methodical way to determine the overall optimal phylogenetic solution. PMID:23320449

Animation of planning algorithms

OpenAIRE

Sun, Fan

2014-01-01

Planning is the process of creating a sequence of steps/actions that will satisfy a goal of a problem. The partial order planning (POP) algorithm is one of Artificial Intelligence approach for problem planning. By learning G52PAS module, I find that it is difficult for students to understand this planning algorithm by just reading its pseudo code and doing some exercise in writing. Students cannot know how each actual step works clearly and might miss some steps because of their confusion. ...

78 FR 25101 - Credit Ratings Roundtable

Science.gov (United States)

2013-04-29

... SECURITIES AND EXCHANGE COMMISSION [Release No. 34-69433; File No. 4-661] Credit Ratings... examine issues in connection with the possibility of developing a credit rating assignment system. The... FURTHER INFORMATION CONTACT: Scott Davey at (212) 336-0075, Office of Credit Ratings, Securities and...

Agricultural Credit Discount Fund – Agribusiness support credit line - Macedonian experience

OpenAIRE

Kovachev, Goran

2012-01-01

The main objective of this study is to emphasize the importance of creating special governmental refinancing institutions targeted towards strategic economic sectors. Such institution in Macedonia is Agricultural Credit Discount Fund, a separate unit within the Macedonian Bank for Development Promotion that administers a credit line meant to support the agribusiness. As it is commonly known agriculture is one of the most important economic sectors of the country. The ACDF's 'modus operandi' i...

A Mechanism for Anonymous Credit Card Systems

Science.gov (United States)

Tamura, Shinsuke; Yanase, Tatsuro

This paper proposes a mechanism for anonymous credit card systems, in which each credit card holder can conceal individual transactions from the credit card company, while enabling the credit card company to calculate the total expenditures of transactions of individual card holders during specified periods, and to identify card holders who executed dishonest transactions. Based on three existing mechanisms, i.e. anonymous authentication, blind signature and secure statistical data gathering, together with implicit transaction links proposed here, the proposed mechanism enables development of anonymous credit card systems without assuming any absolutely trustworthy entity like tamper resistant devices or organizations faithful both to the credit card company and card holders.

75 FR 64785 - Corporate Credit Unions

Science.gov (United States)

2010-10-20

... management (ALM) and credit risk, and whether to make modifications in the area of corporate governance. NCUA... the revisions, an analysis of how the final investment, credit risk, and asset liability provisions..., credit risk, ALM, liquidity, and capital measures that together should greatly reduce the systemic risk...

12 CFR 706.2 - Unfair credit practices.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Unfair credit practices. 706.2 Section 706.2 Banks and Banking NATIONAL CREDIT UNION ADMINISTRATION REGULATIONS AFFECTING CREDIT UNIONS CREDIT... attachment, execution, or other process on real or personal property held, owned by, or due to the consumer...

Trade credit: Elusive insurance of firm growth

NARCIS (Netherlands)

Bams, Dennis; Bos, Jaap; Pisa, Magdalena

2016-01-01

Firms depend heavily on trade credit. This paper introduces a trade credit network into a structural model of the economy. In an empirical analysis of the model, we find that trade credit is an elusive insurance: as long as a firm is financially unconstrained and times are good, more trade credit

Modeling Cycle Dependence in Credit Insurance

Directory of Open Access Journals (Sweden)

Anisa Caja

2014-03-01

Full Text Available Business and credit cycles have an impact on credit insurance, as they do on other businesses. Nevertheless, in credit insurance, the impact of the systemic risk is even more important and can lead to major losses during a crisis. Because of this, the insurer surveils and manages policies almost continuously. The management actions it takes limit the consequences of a downturning cycle. However, the traditional modeling of economic capital does not take into account this important feature of credit insurance. This paper proposes a model aiming to estimate future losses of a credit insurance portfolio, while taking into account the insurer’s management actions. The model considers the capacity of the credit insurer to take on less risk in the case of a cycle downturn, but also the inverse, in the case of a cycle upturn; so, losses are predicted with a more dynamic perspective. According to our results, the economic capital is over-estimated when not considering the management actions of the insurer.

An EPQ Inventory Model with Allowable Shortages for Deteriorating Items under Trade Credit Policy

Directory of Open Access Journals (Sweden)

Zohreh Molamohamadi

2014-01-01

Full Text Available This paper attempts to obtain the replenishment policy of a manufacturer under EPQ inventory model with backorder. It is assumed here that the manufacturer delays paying for the received goods from the supplier and the items start deteriorating as soon as they are being produced. Based on these assumptions, the manufacturer’s inventory model is formulated, and cuckoo search algorithm is applied then to find the replenishment time, order quantity, and selling price with the objective of maximizing the manufacturer’s total net profit. Besides, the traditional inventory system is shown as a special case of the proposed model in this paper, and numerical examples are given to demonstrate better performance of trade credit. These examples are also used to compare the results of cuckoo search algorithm with genetic algorithm and investigate the effects of the model parameters on its variables and net profit.

76 FR 24089 - Credit Risk Retention

Science.gov (United States)

2011-04-29

... 17 CFR Part 246 Department of Housing and Urban Development 24 CFR Part 267 Credit Risk Retention... 2501-AD53 Credit Risk Retention AGENCIES: Office of the Comptroller of the Currency, Treasury (OCC..., Commission, FHFA, and HUD (the Agencies) are proposing rules to implement the credit risk retention...

Rare Disasters and Credit Market Puzzles

DEFF Research Database (Denmark)

Christoffersen, Peter; Du, Du; Elkamhi, Redouane

to the real economy and not to bond prices can simultaneously explain several key empirical regularities in credit markets. Our model captures the empirical level and volatility of credit spreads, generates a flexible credit risk term structure, and provides a good fit to a century of observed spreads...

40 CFR 91.1307 - Credit calculation.

Science.gov (United States)

2010-07-01

... family in kW (sales weighted). The power of each configuration is the rated output in kilowatts as....1307 Credit calculation. For each participating engine family, emission credits (positive or negative... for an engine family whether generating positive or negative in-use emission credits: ER04oc96.053...

The level of influence of trust, commitment, cooperation, and power in the interorganizational relationships of Brazilian credit cooperatives

Directory of Open Access Journals (Sweden)

Denise Maria Martins

Full Text Available Abstract This article aims to analyze the level of influence of trust, commitment, cooperation, and power in the interrelationships of individual credit cooperatives and their central organization in Brazil. The quantitative and descriptive research was developed in unique credit unions linked to the Central Bank of Brazil and the Organization of Brazilian Cooperatives. The data were analyzed using structural equation modeling, with the estimation through partial least squares. The results obtained for the coefficients of determination (R2 of the endogenous latent variables confirmed the assumptions found in the theoretical models of Morgan and Hunt (1994 and Coote, Forrest, and Tam (2003. Statistical significance was also found in the relationships between power and trust, commitment and cooperation, trust and commitment, trust and cooperation, and power and commitment. However, in this study the relationship between power and commitment characterized the significance and was positive between the individual credit cooperatives and their central organization. This is in line with the understanding that power is the solution to resolving conflicts. The research identifies how the constructs of trust, commitment, cooperation, and power show relevance to the alignment of relations between individual credit cooperatives and their central organization.

20 CFR 227.5 - Employer tax credits.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false Employer tax credits. 227.5 Section 227.5... SUPPLEMENTAL ANNUITIES § 227.5 Employer tax credits. Employers are entitled to tax credits if they pay non.... The tax credits for each month equal the sum of the reductions for employer pensions in the...

76 FR 34010 - Credit Risk Retention

Science.gov (United States)

2011-06-10

... 2501-AD53 Credit Risk Retention AGENCIES: Office of the Comptroller of the Currency, Treasury (OCC... credit risk retention requirements of section 15G of the Securities Exchange Act of 1934, as added by the Dodd-Frank Wall Street Reform and Consumer Protection Act (``Credit Risk NPR'' or ``proposed rule...

48 CFR 1632.607 - Tax credit.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Tax credit. 1632.607... 1632.607 Tax credit. FAR 32.607 has no practical application to FEHBP contracts. The statutory... may not offset debts to the Fund by a tax credit which is solely a Government obligation. ...

12 CFR 702.108 - Risk mitigation credit.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Risk mitigation credit. 702.108 Section 702.108... CORRECTIVE ACTION Net Worth Classification § 702.108 Risk mitigation credit. (a) Who may apply. A credit union may apply for a risk mitigation credit if on any of the current or three preceding effective dates...

11 CFR 100.55 - Extension of credit.

Science.gov (United States)

2010-01-01

... substantially similar to extensions of credit to nonpolitical debtors that are of similar risk and size of... 11 Federal Elections 1 2010-01-01 2010-01-01 false Extension of credit. 100.55 Section 100.55... Contribution (2 U.S.C. 431(8)) § 100.55 Extension of credit. The extension of credit by any person is a...

Credit in Acceptance Sampling on Attributes

NARCIS (Netherlands)

Klaassen, Chris A.J.

2000-01-01

Credit is introduced in acceptance sampling on attributes and a Credit Based Acceptance sampling system is developed that is very easy to apply in practice.The credit of a producer is defined as the total number of items accepted since the last rejection.In our sampling system the sample size for a

48 CFR 2132.607 - Tax credit.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Tax credit. 2132.607... Contract Debts 2132.607 Tax credit. FAR 32.607 has no practical application to FEGLI Program contracts. The... Government, contractors may not offset debts to the Fund by a tax credit that is solely a Government...

A Network Model of Credit Risk Contagion

Directory of Open Access Journals (Sweden)

Ting-Qiang Chen

2012-01-01

Full Text Available A network model of credit risk contagion is presented, in which the effect of behaviors of credit risk holders and the financial market regulators and the network structure are considered. By introducing the stochastic dominance theory, we discussed, respectively, the effect mechanisms of the degree of individual relationship, individual attitude to credit risk contagion, the individual ability to resist credit risk contagion, the monitoring strength of the financial market regulators, and the network structure on credit risk contagion. Then some derived and proofed propositions were verified through numerical simulations.

12 CFR 226.12 - Special credit card provisions.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Special credit card provisions. 226.12 Section... SYSTEM TRUTH IN LENDING (REGULATION Z) Open-End Credit § 226.12 Special credit card provisions. (a) Issuance of credit cards. Regardless of the purpose for which a credit card is to be used, including...

76 FR 54991 - Corporate Credit Unions

Science.gov (United States)

2011-09-06

... believes the credit risk of carrying this asset is negligible and warrants such treatment, as CLF stock is... credit union excludes the consolidated assets of such programs from risk-weighted assets pursuant to... paragraphs (c)(3) and (f)(4) and adding new p(h) to read as follows: Sec. 704.6 Credit risk management...

Mammography screening credit card and compliance.

Science.gov (United States)

Schapira, D V; Kumar, N B; Clark, R A; Yag, C

1992-07-15

Screening for breast cancer using mammography has been shown to be effective in reducing mortality from breast cancer. The authors attempted to determine if use of a wallet-size plastic screening "credit" card would increase participants' compliance for subsequent mammograms when compared with traditional methods of increasing compliance. Two hundred and twenty consecutive women, ages 40-70 years, undergoing their first screening mammography were recruited and assigned randomly to four groups receiving (1) a reminder plastic credit card (2) reminder credit card with written reminder; (3) appointment card; and (4) verbal recommendation. Return rates of the four groups were determined after 15 months. The return rate for subsequent mammograms was significantly higher for participants (72.4%) using the credit card than for participants (39.8%) exposed to traditional encouragement/reminders (P less than 0.0001). The credit card was designed to show the participant's screening anniversary, and the durability of the card may have been a factor in increasing the return rate. The use of reminder credit cards may increase compliance for periodic screening examinations for other cancers and other chronic diseases.

Algorithm-enabled partial-angular-scan configurations for dual-energy CT.

Science.gov (United States)

Chen, Buxin; Zhang, Zheng; Xia, Dan; Sidky, Emil Y; Pan, Xiaochuan

2018-05-01

We seek to investigate an optimization-based one-step method for image reconstruction that explicitly compensates for nonlinear spectral response (i.e., the beam-hardening effect) in dual-energy CT, to investigate the feasibility of the one-step method for enabling two dual-energy partial-angular-scan configurations, referred to as the short- and half-scan configurations, on standard CT scanners without involving additional hardware, and to investigate the potential of the short- and half-scan configurations in reducing imaging dose and scan time in a single-kVp-switch full-scan configuration in which two full rotations are made for collection of dual-energy data. We use the one-step method to reconstruct images directly from dual-energy data through solving a nonconvex optimization program that specifies the images to be reconstructed in dual-energy CT. Dual-energy full-scan data are generated from numerical phantoms and collected from physical phantoms with the standard single-kVp-switch full-scan configuration, whereas dual-energy short- and half-scan data are extracted from the corresponding full-scan data. Besides visual inspection and profile-plot comparison, the reconstructed images are analyzed also in quantitative studies based upon tasks of linear-attenuation-coefficient and material-concentration estimation and of material differentiation. Following the performance of a computer-simulation study to verify that the one-step method can reconstruct numerically accurately basis and monochromatic images of numerical phantoms, we reconstruct basis and monochromatic images by using the one-step method from real data of physical phantoms collected with the full-, short-, and half-scan configurations. Subjective inspection based upon visualization and profile-plot comparison reveals that monochromatic images, which are used often in practical applications, reconstructed from the full-, short-, and half-scan data are largely visually comparable except for some

Generalized Partial Volume

DEFF Research Database (Denmark)

Darkner, Sune; Sporring, Jon

2011-01-01

Mutual Information (MI) and normalized mutual information (NMI) are popular choices as similarity measure for multimodal image registration. Presently, one of two approaches is often used for estimating these measures: The Parzen Window (PW) and the Generalized Partial Volume (GPV). Their theoret...... of view as well as w.r.t. computational complexity. Finally, we present algorithms for both approaches for NMI which is comparable in speed to Sum of Squared Differences (SSD), and we illustrate the differences between PW and GPV on a number of registration examples....

27 CFR 46.223 - Tax credit.

Science.gov (United States)

2010-04-01

... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Tax credit. 46.223 Section... for Sale on April 1, 2009 Tax Liability Calculation § 46.223 Tax credit. The dealer is allowed a credit of up to $500 against the total floor stocks tax. However, controlled groups are eligible for only...

Indian Kisan Credit Card Scheme: An Analytical Study

Directory of Open Access Journals (Sweden)

Dharmendra Mehta

2016-03-01

Full Text Available Kisan Credit Card (KCC has now been regarded as the only medium of short-term credit for agriculture. The Kisan Credit Card (KCC scheme was introduced by the Finance Minister in his budget speech in the year 1998-99. From the year 1998-99, the scheme was implemented by public sector commercial banks, RRBs (Regional Rural Banks and cooperative banks in the country. It has emerged as an innovative credit distribution system to meet the production credit requirements of the farmers in a timely and easy manner. The present paper is aimed to study role of Kisan Credit Card in the rural credit facilitation in India.

Improving maximum power point tracking of partially shaded photovoltaic system by using IPSO-BELBIC

International Nuclear Information System (INIS)

El-Garhy, M. Abd Al-Alim; Mubarak, R.I.; El-Bably, M.

2017-01-01

Solar photovoltaic (PV) arrays in remote applications are often related to the rapid changes in the partial shading pattern. Rapid changes of the partial shading pattern make the tracking of maximum power point (MPP) of the global peak through the local ones too difficult. An essential need to make a fast and efficient algorithm to detect the peaks values which always vary as the sun irradiance changes. This paper presents two algorithms based on the improved particle swarm optimization technique one of them with PID controller (IPSO-PID), and the other one with Brain Emotional Learning Based Intelligent Controller (IPSO-BELBIC). These techniques improve the maximum power point (MPP) tracking capabilities for photovoltaic (PV) system under partial shading circumstances. The main aim of these improved algorithms is to accelerate the velocity of IPSO to reach to (MPP) and increase its efficiency. These algorithms also improve the tracking time under complex irradiance conditions. Based on these conditions, the tracking time of these presented techniques improves to 2 msec, with an efficiency of 100%.

Improving maximum power point tracking of partially shaded photovoltaic system by using IPSO-BELBIC

Science.gov (United States)

Al-Alim El-Garhy, M. Abd; Mubarak, R. I.; El-Bably, M.

2017-08-01

Solar photovoltaic (PV) arrays in remote applications are often related to the rapid changes in the partial shading pattern. Rapid changes of the partial shading pattern make the tracking of maximum power point (MPP) of the global peak through the local ones too difficult. An essential need to make a fast and efficient algorithm to detect the peaks values which always vary as the sun irradiance changes. This paper presents two algorithms based on the improved particle swarm optimization technique one of them with PID controller (IPSO-PID), and the other one with Brain Emotional Learning Based Intelligent Controller (IPSO-BELBIC). These techniques improve the maximum power point (MPP) tracking capabilities for photovoltaic (PV) system under partial shading circumstances. The main aim of these improved algorithms is to accelerate the velocity of IPSO to reach to (MPP) and increase its efficiency. These algorithms also improve the tracking time under complex irradiance conditions. Based on these conditions, the tracking time of these presented techniques improves to 2 msec, with an efficiency of 100%.

THE COOPERATIVE CREDIT MUTUAL IN BRAZIL.

Directory of Open Access Journals (Sweden)

Laércio Baptista da Silva

2013-06-01

Full Text Available This study presents an analysis of the reality of credit unions in Brazil, in view of the singular importance of credit unions for the whole society as an alternative to private resources in favor of members of the community where they are located. It confirms that, in Brazil, the mutual credit unions, besides being presented as one of the viable options within the financial system, are also seen as an alternative by which some sectors of society promote the humanization of the financial system by offering credit and return on capital with fairer interest rates.

Solar tax credits: the U.S. experience

International Nuclear Information System (INIS)

Sallmen Smith, L.J.

1990-01-01

From 1978 to 1985, the U.S. Federal government used income tax credits to induce taxpayers to purchase residential solar energy devices. These credits resulted in a significant number of households installing solar devices during the credit period but subsequently devastated the solar industry. Numerous structural problems with the credits and the failure to address important issues in the legislation led to this result. (Author)

Algorithms for Reinforcement Learning

CERN Document Server

Szepesvari, Csaba

2010-01-01

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms'

Information Sharing and Credit Rationing : Evidence from the Introduction of a Public Credit Registry

NARCIS (Netherlands)

Cheng, X.; Degryse, H.A.

2010-01-01

We provide the first evidence on how the introduction of information sharing via a public credit registry affects banks’ lending decisions. We employ a unique dataset containing detailed information on credit card applications and decisions from one of the leading banks in China. While we do not

Iterative algorithms for large sparse linear systems on parallel computers

Science.gov (United States)

Adams, L. M.

1982-01-01

Algorithms for assembling in parallel the sparse system of linear equations that result from finite difference or finite element discretizations of elliptic partial differential equations, such as those that arise in structural engineering are developed. Parallel linear stationary iterative algorithms and parallel preconditioned conjugate gradient algorithms are developed for solving these systems. In addition, a model for comparing parallel algorithms on array architectures is developed and results of this model for the algorithms are given.

49 CFR 536.8 - Conditions for trading of credits.

Science.gov (United States)

2010-10-01

... 49 Transportation 6 2010-10-01 2010-10-01 false Conditions for trading of credits. 536.8 Section... SAFETY ADMINISTRATION, DEPARTMENT OF TRANSPORTATION TRANSFER AND TRADING OF FUEL ECONOMY CREDITS § 536.8 Conditions for trading of credits. (a) Trading of credits. If a credit holder wishes to trade credits to...

17 CFR 256.255 - Accumulated deferred investment tax credits.

Science.gov (United States)

2010-04-01

... investment tax credits. 256.255 Section 256.255 Commodity and Securities Exchanges SECURITIES AND EXCHANGE... investment tax credits. (a) This account shall be credited and account 411.5, Investment tax credit, debited with investment tax credits deferred by companies which do not apply such credits as a reduction of the...

Credit scoring analysis using weighted k nearest neighbor

Science.gov (United States)

Mukid, M. A.; Widiharih, T.; Rusgiyono, A.; Prahutama, A.

2018-05-01

Credit scoring is a quatitative method to evaluate the credit risk of loan applications. Both statistical methods and artificial intelligence are often used by credit analysts to help them decide whether the applicants are worthy of credit. These methods aim to predict future behavior in terms of credit risk based on past experience of customers with similar characteristics. This paper reviews the weighted k nearest neighbor (WKNN) method for credit assessment by considering the use of some kernels. We use credit data from a private bank in Indonesia. The result shows that the Gaussian kernel and rectangular kernel have a better performance based on the value of percentage corrected classified whose value is 82.4% respectively.

Do Internet Credit Markets Improve Access to Credit for Female Business Owners?

OpenAIRE

Barasinska, Nataliya; Schäfer, Dorothea

2010-01-01

Business owners and founders are a minority of any bank's business clients. Scientific studies of traditional credit markets often show a lower probability of loan approval or higher loan costs for female business owners compared to male business owners. With this background the question arises whether female business owners have to struggle with this problem less on Internet credit markets. In this current study, DIW Berlin investigated business loans on the largest German Internet platform,...

Credit demand in Mozambican manufacturing

DEFF Research Database (Denmark)

Byiers, Bruce; Rand, John; Tarp, Finn

2010-01-01

This paper uses two industrial firm surveys to identify the key determinants of credit demand in Mozambican manufacturing. We construct five different measures of being credit constrained and estimate desired debt demand. Besides firm size and ownership structure, we find evidence that general...

A Differential Evolution Based MPPT Method for Photovoltaic Modules under Partial Shading Conditions

Directory of Open Access Journals (Sweden)

Kok Soon Tey

2014-01-01

Full Text Available Partially shaded photovoltaic (PV modules have multiple peaks in the power-voltage (P-V characteristic curve and conventional maximum power point tracking (MPPT algorithm, such as perturbation and observation (P&O, which is unable to track the global maximum power point (GMPP accurately due to its localized search space. Therefore, this paper proposes a differential evolution (DE based optimization algorithm to provide the globalized search space to track the GMPP. The direction of mutation in the DE algorithm is modified to ensure that the mutation always converges to the best solution among all the particles in the generation. This helps to provide the rapid convergence of the algorithm. Simulation of the proposed PV system is carried out in PSIM and the results are compared to P&O algorithm. In the hardware implementation, a high step-up DC-DC converter is employed to verify the proposed algorithm experimentally on partial shading conditions, load variation, and solar intensity variation. The experimental results show that the proposed algorithm is able to converge to the GMPP within 1.2 seconds with higher efficiency than P&O.

76 FR 16235 - Corporate Credit Unions, Technical Corrections

Science.gov (United States)

2011-03-23

... inadvertently included particular investments that did not--when subject to the other credit risk and asset... NATIONAL CREDIT UNION ADMINISTRATION 12 CFR Part 707 RIN 3133-AD58 Corporate Credit Unions, Technical Corrections AGENCY: National Credit Union Administration (NCUA). ACTION: Final rule. SUMMARY: In...

Acquired Credit Unions: Drivers of Takeover

Directory of Open Access Journals (Sweden)

R. Raymond Sant

2015-08-01

Full Text Available In this paper we study acquired credit unions and analyze their financial performance up to six years prior to merger, on a quarterly basis. The primary focus is on balance sheet (asset liability management and profitability variables (return on assets. We find that acquired credit unions during the period 2008 (third quarter to 2014 (first quarter experienced negative return on assets for several quarters prior to their takeover. This was the result of a declining loan portfolio and increasing charge offs. In spite of decreasing lending activity, such credit unions continued to increase their deposits, i.e., adding to their cost base. Due to declining loans, their net interest margin as a proportion of deposits was also in decline. We argue that this is an indicator of poor management ability. Furthermore, our analysis finds that operating expenses were increasing over time, something that has been documented in previous literature also for smaller credit unions and is attributable to lack of economies of scale. The average asset size of the acquired credit unions in our sample is about $22 million just before acquisition. We attribute our findings to poor business strategy followed by such credit unions. We also conclude that signs of trouble are evident up to two years before merger on average and regulatory policy may have to become more proactive to manage the consolidation challenge faced by the credit union industry in general.

Materialism and credit card use by college students.

Science.gov (United States)

Pinto, M B; Parente, D H; Palmer, T S

2000-04-01

Much has been written in the popular press on credit card use and spending patterns of American college students. The proliferation of credit cards and their ease of acquisition ensure that students today have more opportunities for making more credit purchases than any other generation of college students. Little is known about the relationship between students' attitudes towards materialism and their use of credit cards. A study was conducted at three college campuses in the northeastern part of the United States where a total of 1,022 students were surveyed. Students' attitudes toward use of credit and their credit card balances were evaluated relative to their scores on Richins and Dawson's Materialism Scale (1992). Our findings suggest no significant difference between those individuals scoring high versus low on the Materialism Scale in terms of the number of credit cards owned and the average balance owed. Individuals high on materialism, however, significantly differed in terms of their uses for credit cards and their general attitude toward their use.

Transitive Credit and JSON-LD

Directory of Open Access Journals (Sweden)

Daniel S. Katz

2015-11-01

Full Text Available Science and engineering research increasingly relies on activities that facilitate research but are not currently rewarded or recognized, such as: data sharing; developing common data resources, software and methodologies; and annotating data and publications. To promote and advance these activities, we must develop mechanisms for assigning credit, facilitate the appropriate attribution of research outcomes, devise incentives for activities that facilitate research, and allocate funds to maximize return on investment. In this article, we focus on addressing the issue of assigning credit for both direct and indirect contributions, specifically by using JSON-LD to implement a prototype transitive credit system.

12 CFR 614.4040 - Production credit associations.

Science.gov (United States)

2010-01-01

..., membership, term, amount, loan security, and stock or participation certificate requirements of the... Section 614.4040 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM LOAN POLICIES AND OPERATIONS Lending Authorities § 614.4040 Production credit associations. (a) Loan terms. (1) Production...

Tracking the global maximum power point of PV arrays under partial shading conditions

Science.gov (United States)

Fennich, Meryem

This thesis presents the theoretical and simulation studies of the global maximum power point tracking (MPPT) for photovoltaic systems under partial shading. The main goal is to track the maximum power point of the photovoltaic module so that the maximum possible power can be extracted from the photovoltaic panels. When several panels are connected in series with some of them shaded partially either due to clouds or shadows from neighboring buildings, several local maxima appear in the power vs. voltage curve. A power increment based MPPT algorithm is effective in identifying the global maximum from the several local maxima. Several existing MPPT algorithms are explored and the state-of-the-art power increment method is simulated and tested for various partial shading conditions. The current-voltage and power-voltage characteristics of the PV model are studied under different partial shading conditions, along with five different cases demonstrating how the MPPT algorithm performs when shading switches from one state to another. Each case is supplemented with simulation results. The method of tracking the Global MPP is based on controlling the DC-DC converter connected to the output of the PV array. A complete system simulation including the PV array, the direct current to direct current (DC-DC) converter and the MPPT is presented and tested using MATLAB software. The simulation results show that the MPPT algorithm works very well with the buck converter, while the boost converter needs further changes and implementation.

Developing emission reduction credit trading in Texas

International Nuclear Information System (INIS)

Dodds, J.E.

1993-01-01

The Texas Air Control Board has begun to develop a system of emission reduction credit training. The system will be developed incrementally over time. The first step, banking of VOC and NO x Emission Reduction Credits, began March 15, 1993. Additional programs under study and development include NO x RACT trading, emission credits for motor vehicle scrappage and alternative fuel conversion, and establishment of community organizations to generate and acquire emission reduction credits for economic development purposes

Credit scoring analysis using kernel discriminant

Science.gov (United States)

Widiharih, T.; Mukid, M. A.; Mustafid

2018-05-01

Credit scoring model is an important tool for reducing the risk of wrong decisions when granting credit facilities to applicants. This paper investigate the performance of kernel discriminant model in assessing customer credit risk. Kernel discriminant analysis is a non- parametric method which means that it does not require any assumptions about the probability distribution of the input. The main ingredient is a kernel that allows an efficient computation of Fisher discriminant. We use several kernel such as normal, epanechnikov, biweight, and triweight. The models accuracy was compared each other using data from a financial institution in Indonesia. The results show that kernel discriminant can be an alternative method that can be used to determine who is eligible for a credit loan. In the data we use, it shows that a normal kernel is relevant to be selected for credit scoring using kernel discriminant model. Sensitivity and specificity reach to 0.5556 and 0.5488 respectively.

Algorithm for Wireless Sensor Networks Based on Grid Management

Directory of Open Access Journals (Sweden)

Geng Zhang

2014-05-01

Full Text Available This paper analyzes the key issues for wireless sensor network trust model and describes a method to build a wireless sensor network, such as the definition of trust for wireless sensor networks, computing and credibility of trust model application. And for the problem that nodes are vulnerable to attack, this paper proposed a grid-based trust algorithm by deep exploration trust model within the framework of credit management. Algorithm for node reliability screening and rotation schedule to cover parallel manner based on the implementation of the nodes within the area covered by trust. And analyze the results of the size of trust threshold has great influence on the safety and quality of coverage throughout the coverage area. The simulation tests the validity and correctness of the algorithm.

IMPLICATIONS OF CREDIT RISK TRANSFER ON BANK PERFORMANCES

Directory of Open Access Journals (Sweden)

Victoria COCIUG

2015-07-01

Full Text Available The impact of the financial crisis has demonstrated the fragility of the banking sector and the need to implement new technologies that would allow not only insurance against the most important credit risk - credit risk, but development of lending segment. In such conditions, transfer of credit risk is an efficient and actual way to diversify the banks exposure for credit risk by the presence of those who are willing to take on some of this risk. Taking of credit risk can be achieved through credit derivatives, securitization and sale of loans, being selected the most advantageous technique for the bank. The current situation of the national banking sector requires solving the problem of bad loans, which, unfortunately, are increasing, by implementing new techniques for credit risk management according with EU directives.

Measuring Credit Capacity on Danish Farms Using DEA

DEFF Research Database (Denmark)

Friis Pedersen, Michael; Vesterlund Olsen, Jakob

2013-01-01

have important implications for risk management practice, investment and technology adoption and related policy issues. The method is limited by the possibility of strategic behavior of lenders during credit cycle busts. In credit cycle booms, the method gives a good basis for the estimates of change...... in credit reserves. Practical implications: In a period of increasing credit reserves, risk management institutions are unlikely to develop. Like agricultural policy, access to credit may crowd out market-based risk management. Originality/value: The study represents a novel application and interpretation......Purpose:The purpose of this paper is to introduce a novel measure of access to credit suited to estimate the relative change in credit reserves. Design/methodology/approach: A debt possibility frontier is estimated using data envelopment analysis and the Malmquist index is calculated. The Malmquist...

The Optimal Replenishment Policy under Trade Credit Financing with Ramp Type Demand and Demand Dependent Production Rate

Directory of Open Access Journals (Sweden)

Juanjuan Qin

2014-01-01

Full Text Available This paper investigates the optimal replenishment policy for the retailer with the ramp type demand and demand dependent production rate involving the trade credit financing, which is not reported in the literatures. First, the two inventory models are developed under the above situation. Second, the algorithms are given to optimize the replenishment cycle time and the order quantity for the retailer. Finally, the numerical examples are carried out to illustrate the optimal solutions and the sensitivity analysis is performed. The results show that if the value of production rate is small, the retailer will lower the frequency of putting the orders to cut down the order cost; if the production rate is high, the demand dependent production rate has no effect on the optimal decisions. When the trade credit is less than the growth stage time, the retailer will shorten the replenishment cycle; when it is larger than the breakpoint of the demand, within the maturity stage of the products, the trade credit has no effect on the optimal order cycle and the optimal order quantity.

Adiabatic quantum search algorithm for structured problems

International Nuclear Information System (INIS)

Roland, Jeremie; Cerf, Nicolas J.

2003-01-01

The study of quantum computation has been motivated by the hope of finding efficient quantum algorithms for solving classically hard problems. In this context, quantum algorithms by local adiabatic evolution have been shown to solve an unstructured search problem with a quadratic speedup over a classical search, just as Grover's algorithm. In this paper, we study how the structure of the search problem may be exploited to further improve the efficiency of these quantum adiabatic algorithms. We show that by nesting a partial search over a reduced set of variables into a global search, it is possible to devise quantum adiabatic algorithms with a complexity that, although still exponential, grows with a reduced order in the problem size

Credit-Card Bill Seeks to Protect Students but Could Limit Their Access to Credit

Science.gov (United States)

Field, Kelly

2009-01-01

Congress passed legislation last week that would shield students and other consumers from sudden spikes in interest rates and fees, but that could make it harder for young people to access credit to pay for college. The legislation would extend broad new consumer protections to all credit-card holders, offering special protections to college…

Impacts of the use of spent nuclear fuel burnup credit on DOE advanced technology legal weight truck cask GA-4 fleet size

International Nuclear Information System (INIS)

Mobasheran, A.S.; Boshoven, J.; Lake, B.

1995-01-01

The object of this paper is to study the impact of full and partial spent fuel burnup credit on the capacity of the Legal Weight Truck Spent Fuel Shipping Cask (GA-4) and to determine the numbers of additional spent fuel assemblies which could be accommodated as a result. The scope of the study comprised performing nuclear criticality safety scoping calculations using the SCALE-PC software package and the 1993 spent fuel database to determine logistics for number of spent fuel assemblies to be shipped. The results of the study indicate that more capacity than 2 or 3 pressurized water reactor assemblies could be gained for GA-4 casks when burnup credit is considered. Reduction in GA-4 fleet size and number of shipments are expected to result from the acceptance of spent fuel burnup credit

Partial Fingerprint Image Enhancement using Region Division Technique and Morphological Transform

International Nuclear Information System (INIS)

Ahmad, A.; Arshad, I.; Raja, G.

2015-01-01

Fingerprints are the most renowned biometric trait for identification and verification. The quality of fingerprint image plays a vital role in feature extraction and matching. Existing algorithms work well for good quality fingerprint images and fail for partial fingerprint images as they are obtained from excessively dry fingers or affected by disease resulting in broken ridges. We propose an algorithm to enhance partial fingerprint images using morphological operatins with region division technique. The proposed method divides low quality image into six regions from top to bottom. Morphological operations choose an appropriate Structuring Element (SE) that joins broken ridges and thus enhance the image for further processing. The proposed method uses SE line with suitable angle theta and radius r in each region based on the orientation of the ridges. The algorithm is applied to 14 low quality fingerprint images from FVC-2002 database. Experimental results show that percentage accuracy has been improved using the proposed algorithm. The manual markup has been reduced and accuracy of 76.16% with Equal Error Rate (EER) of 3.16% is achieved. (author)

STATE CREDIT RATING MARK: PRESENT DOMESTIC REALITIES

OpenAIRE

Kovalko, N. M.

2017-01-01

The article discusses the problematic aspects of credit ratings and ranking. The economic and legal aspects of ranking relations are addressed. It is concluded that a low credit standing of Ukraine is a sign of our country’s low debt sustainability.It is proved that both for Ukraine and for economically developed countries, the issue of credit ratings is quite important, and at times problematic. The issue is related to the development of the national and international financial credit resour...

Automated generation of partial Markov chain from high level descriptions

International Nuclear Information System (INIS)

Brameret, P.-A.; Rauzy, A.; Roussel, J.-M.

2015-01-01

We propose an algorithm to generate partial Markov chains from high level implicit descriptions, namely AltaRica models. This algorithm relies on two components. First, a variation on Dijkstra's algorithm to compute shortest paths in a graph. Second, the definition of a notion of distance to select which states must be kept and which can be safely discarded. The proposed method solves two problems at once. First, it avoids a manual construction of Markov chains, which is both tedious and error prone. Second, up the price of acceptable approximations, it makes it possible to push back dramatically the exponential blow-up of the size of the resulting chains. We report experimental results that show the efficiency of the proposed approach. - Highlights: • We generate Markov chains from a higher level safety modeling language (AltaRica). • We use a variation on Dijkstra's algorithm to generate partial Markov chains. • Hence we solve two problems: the first problem is the tedious manual construction of Markov chains. • The second problem is the blow-up of the size of the chains, at the cost of decent approximations. • The experimental results highlight the efficiency of the method

Rare disasters, credit, and option market puzzles

DEFF Research Database (Denmark)

Christoffersen, Peter; Du, Du; Elkamhi, Redouane

2017-01-01

calibrated to the real economy can simultaneously explain several key empirical regularities in equity, credit, and options markets. Our model captures the empirical level and volatility of credit spreads, generates a flexible credit risk term structure, and provides a good fit to a century of observed...

40 CFR 1033.715 - Banking emission credits.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 32 2010-07-01 2010-07-01 false Banking emission credits. 1033.715... CONTROLS CONTROL OF EMISSIONS FROM LOCOMOTIVES Averaging, Banking, and Trading for Certification § 1033.715 Banking emission credits. (a) Banking is the retention of emission credits by the manufacturer...

25 CFR 140.23 - Credit at trader's risk.

Science.gov (United States)

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Credit at trader's risk. 140.23 Section 140.23 Indians....23 Credit at trader's risk. Credit given Indians will be at the trader's own risk, as no assistance... accept pawns or pledges of personal property by Indians to obtain credit or loans. ...

Does ownership structure improve credit ratings?

Directory of Open Access Journals (Sweden)

Aws AlHares

2018-04-01

Full Text Available This study seeks to examine the impact of Block Ownership structure on Credit Ratings in OECD countries. This research seeks to contribute to the extant literature by exploring the effects of Corporate Governance (CG mechanisms on corporate credit ratings. The study uses a panel data of 200 companies from Anglo American and European countries between 2010 and 2014. The ordinary least square regression is used to examine the relationships. Additionally, to alleviate the concern of potential endogeneity, we use fixed effect regression, two-stage least squares using instrumental variables. The results show there is a negative and significant relationship between block ownership and credit ratings, with a greater significance among Anglo American countries than among European countries. The rationale for this is that Anglo-American system gives preferential treatment to individual shareholders and its accounting tradition leads to a decline in risk and increase in credit ratings. The result is consistent with the multi-theoretical framework predictions derived from the agency and stewardship theories. Future research could investigate credit ratings using other credit rating agencies, selecting a larger sample that includes small, mid-size and large companies. This paper extends, as well as contributes to extant CG literature by offering new evidence on the effect of block ownership on credit ratings between two different traditions. This will be explored by employing firm-level CG mechanisms by accounting for control variables. The findings will help regulators and policymakers in OECD countries in evaluating the adequacy of current CG reforms to prevent management misconduct and scandals.

Large-Scale Partial-Duplicate Image Retrieval and Its Applications

Science.gov (United States)

2016-04-23

tree based image retrieval , a semantic-aware co-indexing algorithm is proposed to jointly embed two strong cues into the inverted indexes: 1) local...based image retrieval , a semantic-aware co-indexing algorithm is proposed to jointly embed two strong cues into the inverted indexes: 1) local...Distribution Unlimited UU UU UU UU 23-04-2016 23-Jan-2012 22-Jan-2016 Final Report: Large-Scale Partial-Duplicate Image Retrieval and Its Applications

12 CFR 614.4010 - Agricultural credit banks.

Science.gov (United States)

2010-01-01

...) of this chapter, for the export (including the cost of freight) of agricultural commodities or... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Agricultural credit banks. 614.4010 Section 614.4010 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM LOAN POLICIES AND OPERATIONS...

Credit card spending limit and personal finance: system dynamics approach

Directory of Open Access Journals (Sweden)

Mirjana Pejić Bach

2014-03-01

Full Text Available Credit cards have become one of the major ways for conducting cashless transactions. However, they have a long term impact on the well being of their owner through the debt generated by credit card usage. Credit card issuers approve high credit limits to credit card owners, thereby influencing their credit burden. A system dynamics model has been used to model behavior of a credit card owner in different scenarios according to the size of a credit limit. Experiments with the model demonstrated that a higher credit limit approved on the credit card decreases the budget available for spending in the long run. This is a contribution toward the evaluation of action for credit limit control based on their consequences.

Computational Benchmark for Estimation of Reactivity Margin from Fission Products and Minor Actinides in PWR Burnup Credit

International Nuclear Information System (INIS)

Wagner, J.C.

2001-01-01

This report proposes and documents a computational benchmark problem for the estimation of the additional reactivity margin available in spent nuclear fuel (SNF) from fission products and minor actinides in a burnup-credit storage/transport environment, relative to SNF compositions containing only the major actinides. The benchmark problem/configuration is a generic burnup credit cask designed to hold 32 pressurized water reactor (PWR) assemblies. The purpose of this computational benchmark is to provide a reference configuration for the estimation of the additional reactivity margin, which is encouraged in the U.S. Nuclear Regulatory Commission (NRC) guidance for partial burnup credit (ISG8), and document reference estimations of the additional reactivity margin as a function of initial enrichment, burnup, and cooling time. Consequently, the geometry and material specifications are provided in sufficient detail to enable independent evaluations. Estimates of additional reactivity margin for this reference configuration may be compared to those of similar burnup-credit casks to provide an indication of the validity of design-specific estimates of fission-product margin. The reference solutions were generated with the SAS2H-depletion and CSAS25-criticality sequences of the SCALE 4.4a package. Although the SAS2H and CSAS25 sequences have been extensively validated elsewhere, the reference solutions are not directly or indirectly based on experimental results. Consequently, this computational benchmark cannot be used to satisfy the ANS 8.1 requirements for validation of calculational methods and is not intended to be used to establish biases for burnup credit analyses

An Anonymous Credit Card System

Science.gov (United States)

Androulaki, Elli; Bellovin, Steven

Credit cards have many important benefits; however, these same benefits often carry with them many privacy concerns. In particular, the need for users to be able to monitor their own transactions, as well as bank’s need to justify its payment requests from cardholders, entitle the latter to maintain a detailed log of all transactions its credit card customers were involved in. A bank can thus build a profile of each cardholder even without the latter’s consent. In this paper, we present a practical and accountable anonymous credit system based on ecash, with a privacy preserving mechanism for error correction and expense-reporting.

Tuition Tax Credits. Issuegram 19.

Science.gov (United States)

Augenblick, John; McGuire, Kent

Approaches for using the federal income tax system to aid families of pupils attending private schools include: tax credits, tax deductions, tax deferrals, and education savings incentives. Tax credit structures can be made refundable and made sensitive to taxpayers' income levels, the level of education expenditures, and designated costs.…

FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining

Directory of Open Access Journals (Sweden)

K. R. Seeja

2014-01-01

Full Text Available This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mining. A matching algorithm is also proposed to find to which pattern (legal or fraud the incoming transaction of a particular customer is closer and a decision is made accordingly. In order to handle the anonymous nature of the data, no preference is given to any of the attributes and each attribute is considered equally for finding the patterns. The performance evaluation of the proposed model is done on UCSD Data Mining Contest 2009 Dataset (anonymous and imbalanced and it is found that the proposed model has very high fraud detection rate, balanced classification rate, Matthews correlation coefficient, and very less false alarm rate than other state-of-the-art classifiers.

FraudMiner: a novel credit card fraud detection model based on frequent itemset mining.

Science.gov (United States)

Seeja, K R; Zareapoor, Masoumeh

2014-01-01

This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mining. A matching algorithm is also proposed to find to which pattern (legal or fraud) the incoming transaction of a particular customer is closer and a decision is made accordingly. In order to handle the anonymous nature of the data, no preference is given to any of the attributes and each attribute is considered equally for finding the patterns. The performance evaluation of the proposed model is done on UCSD Data Mining Contest 2009 Dataset (anonymous and imbalanced) and it is found that the proposed model has very high fraud detection rate, balanced classification rate, Matthews correlation coefficient, and very less false alarm rate than other state-of-the-art classifiers.

College credit for in-house training

International Nuclear Information System (INIS)

Reilly, K.; Getty, C.; Knief, R.

1981-01-01

The Program on Non-Collegiate Sponsored Instruction (PONSI) and similar organizations may be of considerable help to the industry to the extent that college credit can be awarded for certain activities in reactor site training programs. The credit recommendations generally may be used at local colleges. They also may be applied (along with credit for college-level activities such as correspondence and on-campus courses, proficiency testing, and other evaluations) to degrees granted by the Regent's External Degree Program (REX) and other organizations. This paper describes the principle features of the PONSI and REX programs. PONSI's first credit evaluation at a nuclear plant - Consolidated Edison's Indian Point 2 - is summarized. Recent proposals for an explicit nuclear degree through REX are also described briefly

Securitization, Credit Rating and Issuers’ Characteristics

Directory of Open Access Journals (Sweden)

Mauricio Palmada Fernandes

2014-01-01

Full Text Available Given the growth of securitization through Credit Receivables Investment Funds (Fundos de Investimento em Direitos Creditórios - FIDCs in Brazil in recent years, this work aims to investigate empirically the relationship between securitization and credit rating in the Brazilian market. All issues of FIDCs held by banks and registered in the CVM from 2005 to July 2010 were analyzed. The two hypotheses discussed by Gorton and Souleles (2005 were confirmed to Brazilian financial institutions. There is evidence of an implied contract between the transferor companies and investors in securitizations made via FIDCs. Companies with higher credit risk, worst ratings, tend to securitize more. However no relationship was found between securitization and asset value, amount of loans or capital ratio.

Effects of Credit on Economic Growth, Unemployment and Poverty

Directory of Open Access Journals (Sweden)

Mangasa Augustinus Sipahutar

2016-06-01

              Effect of credit on economic growth, unemployment and poverty provides evidence from Indonesia on the role of banks credit for promoting economic growth and reducing both unemployment and poverty.  To document the link between banks credit and economic growth, we estimate a VAR model and variance decompositions of annual GDP per capita growth rates to examine what proxy measures of banks credit are most important in accounting for economic growth over time and how much they contribute to explaining economic growth.  We also estimate an ECM to document the relationship between banks credit to both unemployment and poverty.  This paper revealed bi-direction causality between banks credit and economic growth.  Banks credit promotes economic growth and economic growth affects credit depth and financial development.  Furthermore, banks credit is a growth accelerating factor on Indonesian economic growth.  Banks credit is an endogenous growth and a good predictor on Indonesian economy. Our estimation model explained that credit allocated by banks increases business escalation to the real sectors then promotes economic growth, decreases unemployment rate through increasing in labor demanded, increases income and then decrease poverty.  This overall transmission mechanism just occurred through presence of banks credit by increasing money supply to the real sectors, promotes growth and social welfare.   Keywords :  banks credit, economic growth, growth accelerating factor, poverty, unemployment   JEL Classification : E51, E52, E58

Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm

Directory of Open Access Journals (Sweden)

Shafqat Ullah Khan

2016-01-01

Full Text Available A compressed sensing based array diagnosis technique has been presented. This technique starts from collecting the measurements of the far-field pattern. The system linking the difference between the field measured using the healthy reference array and the field radiated by the array under test is solved using a genetic algorithm (GA, parallel coordinate descent (PCD algorithm, and then a hybridized GA with PCD algorithm. These algorithms are applied for fully and partially defective antenna arrays. The simulation results indicate that the proposed hybrid algorithm outperforms in terms of localization of element failure with a small number of measurements. In the proposed algorithm, the slow and early convergence of GA has been avoided by combining it with PCD algorithm. It has been shown that the hybrid GA-PCD algorithm provides an accurate diagnosis of fully and partially defective sensors as compared to GA or PCD alone. Different simulations have been provided to validate the performance of the designed algorithms in diversified scenarios.

49 CFR 260.15 - Credit risk premium.

Science.gov (United States)

2010-10-01

... 49 Transportation 4 2010-10-01 2010-10-01 false Credit risk premium. 260.15 Section 260.15... REHABILITATION AND IMPROVEMENT FINANCING PROGRAM Overview § 260.15 Credit risk premium. (a) Where available... pay to the Administrator a Credit Risk Premium adequate to cover that portion of the subsidy cost not...

Consumer Credit: Evidence from Italian Micro Data

NARCIS (Netherlands)

Hochguertel, S.; Alessie, R.; Weber, G.

2005-01-01

In this paper we analyse unique data on credit applications received by the leading provider of consumer credit in Italy (Findomestic). The data set covers a five-year period (1995-1999) during which the consumer credit market rapidly expanded in Italy and a new law (the usury law) came into force

Credit scores, cardiovascular disease risk, and human capital.

Science.gov (United States)

Israel, Salomon; Caspi, Avshalom; Belsky, Daniel W; Harrington, HonaLee; Hogan, Sean; Houts, Renate; Ramrakha, Sandhya; Sanders, Seth; Poulton, Richie; Moffitt, Terrie E

2014-12-02

Credit scores are the most widely used instruments to assess whether or not a person is a financial risk. Credit scoring has been so successful that it has expanded beyond lending and into our everyday lives, even to inform how insurers evaluate our health. The pervasive application of credit scoring has outpaced knowledge about why credit scores are such useful indicators of individual behavior. Here we test if the same factors that lead to poor credit scores also lead to poor health. Following the Dunedin (New Zealand) Longitudinal Study cohort of 1,037 study members, we examined the association between credit scores and cardiovascular disease risk and the underlying factors that account for this association. We find that credit scores are negatively correlated with cardiovascular disease risk. Variation in household income was not sufficient to account for this association. Rather, individual differences in human capital factors—educational attainment, cognitive ability, and self-control—predicted both credit scores and cardiovascular disease risk and accounted for ∼45% of the correlation between credit scores and cardiovascular disease risk. Tracing human capital factors back to their childhood antecedents revealed that the characteristic attitudes, behaviors, and competencies children develop in their first decade of life account for a significant portion (∼22%) of the link between credit scores and cardiovascular disease risk at midlife. We discuss the implications of these findings for policy debates about data privacy, financial literacy, and early childhood interventions.

Lending and Credit Monitoring Principles

Directory of Open Access Journals (Sweden)

Viorica IOAN

2012-11-01

Full Text Available The results of a bank’s activities depend to a significant extent on the quality of the credit portfolio that it holds, as well as on the credit tracking and control system. The purpose and functioning of such inter-banking systems differs from one bank to another. Loans require an increasingly efficient type of internal surveillance of activity. Following the clients’ behavior and performances, as well as their entire activity is a particularly important phase and absolutely necessary in the course of a loan. The purpose of this activity is, generally, that of identifying, as early as possible, of clues about any problems that may appear during the course of the loan, so as to make possible, as early as can be, the taking of remedial measures with a view to anticipate the deterioration of the loan’s debt. An open communication between the bank and the loan’s beneficiary is an essential condition for an efficient tracking program. Another basic element is the rigorous and complete filling out of the credit papers. The credit files are the backbone of the of the loan monitoring process because these contain all of the documents which may offer to the credit officer, accounting expert, as well as other interested parties a permanent, chronological record of the loan relation.

Some nonlinear space decomposition algorithms

Energy Technology Data Exchange (ETDEWEB)

Tai, Xue-Cheng; Espedal, M. [Univ. of Bergen (Norway)

1996-12-31

Convergence of a space decomposition method is proved for a general convex programming problem. The space decomposition refers to methods that decompose a space into sums of subspaces, which could be a domain decomposition or a multigrid method for partial differential equations. Two algorithms are proposed. Both can be used for linear as well as nonlinear elliptic problems and they reduce to the standard additive and multiplicative Schwarz methods for linear elliptic problems. Two {open_quotes}hybrid{close_quotes} algorithms are also presented. They converge faster than the additive one and have better parallelism than the multiplicative method. Numerical tests with a two level domain decomposition for linear, nonlinear and interface elliptic problems are presented for the proposed algorithms.

Study on the Impact of the Private Credit Excess on the Credit Risk under the Massive Capital Inflows Risk under the Massive Capital Inflows

Directory of Open Access Journals (Sweden)

Jong-Hee Kim

2016-09-01

Full Text Available By examining the relationship between private credit growth and the possibility of credit risk while focusing on international capital in 21 countries over the period 2000:1Q-2015:2Q, this paper shows that the impact of private credit growth on credit risk is apparent under the high ratio of capital inflows, and its impact on credit risk in the seven Asian countries is even stronger. And the possibility of credit risk caused by private credit is mainly coming from portfolio inflows rather than direct inflows. Finally, portfolio inflows strengthen the positive relationship between credit excess and credit risk in Asian countries, and this trend is seen more in these after the global financial crisis. Taken together, the stronger positive relationship between credit excess and credit risk can be strengthen under the massive portfolio inflows in particular in the seven Asian countries such as Hong Kong, India, Indonesia, Korea, Malaysia, Singapore, and Thailand.

CREDIT RATIONING AND SME DEVELOPMENT IN BOTSWANA ...

African Journals Online (AJOL)

None

have the negative effect of stifling the growth of potential firms, thereby .... credit market may explain the credit rationing behaviour of banks to ... derive policy implications to enhance access to bank credit by SMEs. 4. ..... The main challenges to SMEs identified by the study were non-payment of outstanding ... This decision is.

Reliable Recognition of Partially Occluded Objects with Correlation Filters

Directory of Open Access Journals (Sweden)

Alexey Ruchay

2018-01-01

Full Text Available Design of conventional correlation filters requires explicit knowledge of the appearance and shape of a target object, so the performance of correlation filters is significantly affected by changes in the appearance of the object in the input scene. In particular, the performance of correlation filters worsens when objects to be recognized are partially occluded by other objects, and the input scene contains a cluttered background and noise. In this paper, we propose a new algorithm for the design of a system consisting of a set of adaptive correlation filters for recognition of partially occluded objects in noisy scenes. Since the input scene may contain different fragments of the target, false objects, and background to be rejected, the system is designed in such a manner to guarantee equally high correlation peaks corresponding to parts of the target in the scenes. The key points of the system are as follows: (i it consists of a bank of composite optimum filters, which yield the best performance for different parts of the target; (ii it includes a fragmentation of the target into a given number of parts in the training stage to provide equal intensity responses of the system for each part of the target. With the help of computer simulation, the performance of the proposed algorithm for recognition partially occluded objects is compared with that of common algorithms in terms of objective metrics.

The origin of the concept of partial epilepsy.

Science.gov (United States)

Eadie

1999-03-01

The International League Against Epilepsy has devised classifications which subdivide both epileptic seizures and the epilepsies and epileptic syndromes into two main types: generalized and partial. Epileptogenesis in the partial variety is believed to originate in a localized part of the cerebral cortex and results in clinical manifestations which appear to commence in only a restricted part of the sufferer's body. Use of the term 'partial' in relation to these entities has often been said to date back to James Cowles Prichard (1786-1849) who was the author of the second major work on epilepsy to be written in the UK. While Prichard certainly described 'partial epilepsy', he stated that he intended the words to refer to the fact that the disorder he described under that designation was only partly, and not fully, epileptic in nature. He did not refer to the fact that it affected only part of the body as his basis for using the term. In the absence of knowledge of localization of function in the cerebral cortex at Prichard's time of writing, he had no basis for deducing that the underlying epileptic process arose in only part of the brain. However, there is an earlier mention of the use of the word 'partial' in relation to epilepsy. This is to be found in the writings of the great Scottish physician William Cullen (1710-1790), and there is reason to believe that Prichard should have been aware of this. Cullen used 'partial' with an intention similar to the modern one, employing the word to refer to seizures which affected only part of the body. Credit for the origin of the idea of a 'partial' epilepsy should belong to Cullen; not only did he have priority over Prichard but his concept was closer to the modern one than was Prichard's. Copyright 1999 Harcourt Publishers Ltd.

Credit Rationing Effects of Credit Value-at-Risk

NARCIS (Netherlands)

J.F. Slijkerman; D.J.C. Smant (David); C.G. de Vries (Casper)

2004-01-01

textabstractBanks provide risky loans to firms which have superior information regarding the quality of their projects. Due to asymmetric information the banks face the risk of adverse selection. Credit Value-at-Risk (CVaR) regulation counters the problem of low quality, i.e. high risk, loans and

Trade Credit Insurance and Asymmetric Information Problem

Directory of Open Access Journals (Sweden)

Sokolovska Olena

2017-03-01

Full Text Available The presence of different risk factors in international trade gives evidence of the necessity of support in gaps that may affect exporters’ activity. To maximize the trade volumes and in the same time to minimize the exporters’ risks the stakeholders use trade credit insurance. The paper provides analysis of conceptual background of the trade credit insurance in the world. We analyzed briefly the problems, arising in insurance markets due to asymmetric information, such as adverse selection and moral hazard. Also we discuss the main stages of development of trade credit insurance in countries worldwide. Using comparative and graphical analysis we provide a brief evaluation of the dynamics of claims and recoveries for different forms of trade credit insurance. We found that the claims related to the commercial risk for medium and long trade credits in recent years exceed the recoveries, while with the political risk the reverse trend holds. And we originally consider these findings in terms of information asymmetry in the trade credit insurance differentiated by type of risk.

5 CFR 610.408 - Use of credit hours.

Science.gov (United States)

2010-01-01

... Flexible and Compressed Work Schedules § 610.408 Use of credit hours. Members of the Senior Executive Service (SES) may not accumulate credit hours under an alternative work schedule. Any credit hours...

Methodology of Credit Analysis Development

Directory of Open Access Journals (Sweden)

Slađana Neogradi

2017-12-01

Full Text Available The subject of research presented in this paper refers to the definition of methodology for the development of credit analysis in companies and its application in lending operations in the Republic of Serbia. With the developing credit market, there is a growing need for a well-developed risk and loss prevention system. In the introduction the process of bank analysis of the loan applicant is presented in order to minimize and manage the credit risk. By examining the subject matter, the process of processing the credit application is described, the procedure of analyzing the financial statements in order to get an insight into the borrower's creditworthiness. In the second part of the paper, the theoretical and methodological framework is presented applied in the concrete company. In the third part, models are presented which banks should use to protect against exposure to risks, i.e. their goal is to reduce losses on loan operations in our country, as well as to adjust to market conditions in an optimal way.

CONTINGENCIES FOR MEASUREMENT OF THE CREDIT RISK

Directory of Open Access Journals (Sweden)

Marinela BARBULESCU

2015-12-01

Full Text Available The Global Financial Crisis, which affected various banks, some of them very important banks, highlighted the importance of an accurate credit risk measurement in order to be able to overcome it. There are a variety of such credit risk measurement models, so we can say that banks face a real dilemma when having to choose the most appropriate one. The aim of this paper is to examine the most popular methods used to measure the credit risk and to identify the strengths and the weaknesses of each one of it. The research was accomplished from a double perspective, in which the conceptual methodological approach is correlated to a variety of references to practical actions aiming the measurement and the prevention of credit risk. The study includes the presentation of the objectives of credit risk analysis, the most appropriate moments for doing such an analysis, the steps that have to be done in order to measure the credit risk, the errors that can overcome in the credit risk measurement system, generated by the misclassifications of the studied company, and the presentation of the specific information of financial creditors. The findings expressed in this paper were mainly the result of a qualitative analysis which showed that there is no best model for credit risk measurement, each one having both strengths and weaknesses, some providing a comprehensive analysis of the individual customer’s financial strength others allowing banks permanently monitor fluctuating default risk and identify the possibly problems at an early stage.

An evolutionary algorithm for model selection

Energy Technology Data Exchange (ETDEWEB)

Bicker, Karl [CERN, Geneva (Switzerland); Chung, Suh-Urk; Friedrich, Jan; Grube, Boris; Haas, Florian; Ketzer, Bernhard; Neubert, Sebastian; Paul, Stephan; Ryabchikov, Dimitry [Technische Univ. Muenchen (Germany)

2013-07-01

When performing partial-wave analyses of multi-body final states, the choice of the fit model, i.e. the set of waves to be used in the fit, can significantly alter the results of the partial wave fit. Traditionally, the models were chosen based on physical arguments and by observing the changes in log-likelihood of the fits. To reduce possible bias in the model selection process, an evolutionary algorithm was developed based on a Bayesian goodness-of-fit criterion which takes into account the model complexity. Starting from systematically constructed pools of waves which contain significantly more waves than the typical fit model, the algorithm yields a model with an optimal log-likelihood and with a number of partial waves which is appropriate for the number of events in the data. Partial waves with small contributions to the total intensity are penalized and likely to be dropped during the selection process, as are models were excessive correlations between single waves occur. Due to the automated nature of the model selection, a much larger part of the model space can be explored than would be possible in a manual selection. In addition the method allows to assess the dependence of the fit result on the fit model which is an important contribution to the systematic uncertainty.

Is credit for early action credible early action?

International Nuclear Information System (INIS)

Rolfe, C.; Michaelowa, A.; Dutschke, M.

1999-12-01

Credit for early action as a tool for greenhouse gas emissions reduction is compared with various market instruments as a means of narrowing the gap between projected emissions and those of the Kyoto Protocol. Market instruments work by creating a market price for emissions and use the market to encourage reductions at the lowest price, which is done by placing limits on greenhouse gas emissions and allowing the market to decide where reductions occur, or by imposing a carbon tax or emissions charge. While they can be applied within a sector, they are usually used to encourage reductions throughout the economy or across large sectors. Credit for early action also creates an incentive for emissions reductions throughout the economy or at least across many sectors. Credit for early action tools do not work by either imposing a carbon tax or emissions charge or placing limits on emissions, rather they promise that entities that take action against greenhouse gases prior to the imposition of a carbon tax or emissions limits will receive a credit against future taxes or limits. An overview is provided of the Kyoto Protocol and the rationale for taking early action, and a review is included of the theory and specific proposals for market instruments and credit for early action. A comparative analysis is provided of these approaches by examining their relative efficiency, environmental effectiveness, and impacts on the redistribution of wealth. Credit for early action is viewed as problematic on a number of counts and is seen as an interim strategy for imposition while political support for market instruments develop. The environmental effectiveness of credit for early action is very difficult to predict, and credit for early action programs do not yield the lowest cost emissions reductions. Credit for early action programs will not achieve compliance with the Kyoto Protocol at the lowest cost, and credits for early action will increase the compliance costs for those who

A Dynamic Fuzzy Cluster Algorithm for Time Series

Directory of Open Access Journals (Sweden)

Min Ji

2013-01-01

clustering time series by introducing the definition of key point and improving FCM algorithm. The proposed algorithm works by determining those time series whose class labels are vague and further partitions them into different clusters over time. The main advantage of this approach compared with other existing algorithms is that the property of some time series belonging to different clusters over time can be partially revealed. Results from simulation-based experiments on geographical data demonstrate the excellent performance and the desired results have been obtained. The proposed algorithm can be applied to solve other clustering problems in data mining.

Store Security. Credit Card Fraud.

Science.gov (United States)

Brockway, Jerry

The manual, intended for use by adults and not in the high school classroom situation, presents material directed toward assisting in the reduction of credit card crime. This teaching guide is organized in three sections which deal with the nature of and major reasons for credit card fraud, the types of hot card runners, and methods of reducing…

An endogenous model of the credit network

Science.gov (United States)

He, Jianmin; Sui, Xin; Li, Shouwei

2016-01-01

In this paper, an endogenous credit network model of firm-bank agents is constructed. The model describes the endogenous formation of firm-firm, firm-bank and bank-bank credit relationships. By means of simulations, the model is capable of showing some obvious similarities with empirical evidence found by other scholars: the upper-tail of firm size distribution can be well fitted with a power-law; the bank size distribution can be lognormally distributed with a power-law tail; the bank in-degrees of the interbank credit network as well as the firm-bank credit network fall into two-power-law distributions.

A dynamic model of unsecured credit

OpenAIRE

Daniel R. Sanches

2010-01-01

The author studies the terms of credit in a competitive market in which sellers (lenders) are willing to repeatedly finance the purchases of buyers (borrowers) by engaging in a credit relationship. The key frictions are: (i) the lender is unable to observe the borrower's ability to repay a loan; (ii) the borrower cannot commit to any long-term contract; (iii) it is costly for the lender to contact a borrower and to walk away from a contract; and (iv) transactions within each credit relationsh...

Issues for effective implementation of burnup credit

International Nuclear Information System (INIS)

Parks, C.V.; Wagner, J.C.

2001-01-01

In the United States, burnup credit has been used in the criticality safety evaluation for storage pools at pressurized water reactors (PWRs) and considerable work has been performed to lay the foundation for use of burnup credit in dry storage and transport cask applications and permanent disposal applications. Many of the technical issues related to the basic physics phenomena and parameters of importance are similar in each of these applications. However, the nuclear fuel cycle in the United States has never been fully integrated and the implementation of burnup credit to each of these applications is dependent somewhat on the specific safety bases developed over the history of each operational area. This paper will briefly review the implementation status of burnup credit for each application area and explore some of the remaining issues associated with effective implementation of burnup credit. (author)

The Dilemmas over Credit Policy Management in a Company

Directory of Open Access Journals (Sweden)

Maria Gorczyńska

2013-11-01

Full Text Available Purpose of the article: The paper identifies the core dilemmas over the establishment of the credit policy in a company. It considers the general scope and basic stages of credit policy management and analyses each stage of credit policy in terms of decisive aspects. The main areas of concerns are discussed within the settlement of credit policy and its implementation with regard to the model of optimal credit policy. Scientific aim: The paper aims at constructing a unified model of issues rising dilemmas while setting and implementing the credit policy management. It also aims at identifying core decisive problems in each of these fields and at providing a structured questions framework. Methodology/methods: The paper is based on conceptual analysis and deduction of the literature and general review of issues related to credit policy management. It containts autors’ own view on the problems included in each stage of credit policy management. Findings: Credit policy management is a subject for numerous dilemmas. The main areas of concerns are related to: the decision about the goal of credit policy managemet with regard to its restrictiveness, the settlement of credit policy with regard to elements of credit policy, and finally the implementation with regard to the risk of bad debts occurrence. Conclusions: (limits, implications etc The establishment of credit policy in a company requires to balance contrary interests and thus involves wide variety of issues to be considered. The presented model of decisive problems might be applied in each company regardless to their size.

Credit risk assessment: Evidence from banking industry

Directory of Open Access Journals (Sweden)

Hassan Ghodrati

2014-08-01

Full Text Available Measuring different risk factors such as credit risk in banking industry has been an interesting area of studies. The artificial neural network is a nonparametric method developed to succeed for measuring credit risk and this method is applied to measure the credit risk. This research’s neural network follows back propagation paradigm, which enables it to use historical data for predicting future values with very good out of sample fitting. Macroeconomic variables including GDP, exchange rate, inflation rate, stock price index, and M2 are used to forecast credit risk for two Iranian banks; namely Saderat and Sarmayeh over the period 2007-2011. Research data are being tested for ADF and Causality Granger tests before entering the ANN to achieve the best lag structure for the research model. MSE and R values for the developed ANN in this research respectively are 86×〖10〗^(-4 and 0.9885, respectively. The results showed that ANN was able to predict banks’ credit risk with low error. Sensibility analyses which has accomplished on this research’s ANN corroborates that M2 has the highest effect on the ANN’s credit risk and should be considered as an additional leading indicator by Iran’s banking authorities. These matters confirm validation of macroeconomic notions in Iran’s credit systematic risk.

WHAT INFLUENCE CREDIT CARD DEBTS IN YOUNG CONSUMERS IN MALAYSIA

OpenAIRE

Syed Shah ALAM; Ruzita Abdul RAHIM; Ridhwanul HAQ; Atiqur Rahman KHAN

2014-01-01

This paper examines empirically antecedents of the credit card debts in young consumers in Malaysia. We examine whether easy access to credit card, credit card related knowledge, aggressive promotion by credit card industry, low minimum payment requirement and attitude towards credit cards influence credit card debts in the younger generation. Regression model was used to meet the objectives. These findings based on a sample of 240 young credit card holders, show that the factors that affect ...

Correlates of credit card ownership in men and women.

Science.gov (United States)

Yang, Bijou; Lester, David

2005-06-01

In a sample of 352 students, correlates of credit card ownership differed by sex. For both men and women, credit card ownership was predicted by their affective attitude toward credit cards. However, whereas for men concern with money as a tactic for gaining power predicted credit card ownership, for women feelings of insecurity about having sufficient money and having a conservative approach to money predicted credit card ownership.

Credit risk identification and suggestions of electricity market

Science.gov (United States)

He, Chuan; Wang, Haichao; Chen, Zhongyuan; Hao, Yuxing; Jiang, Hailong; Qian, Hanhan; Wang, Meibao

2018-03-01

The power industry has a long history of credit problems, and the power industry has credit problems such as power users defaulting on electricity bills before the new electricity reform. With the reform of the power system, the credit problems in the power industry will be more complicated. How to effectively avoid the risk factors existing in the course of market operation and how to safeguard the fairness and standardization of market operation is an urgent problem to be solved. This paper first describes the credit risk in power market, and analyzes the components of credit risk identification in power market, puts forward suggestions on power market risk management.

Standardization of Social Credit System Initiated in China

Institute of Scientific and Technical Information of China (English)

无

2004-01-01

@@ Introduction The current government advances that the order of market economy should be standardized and the social credit system of market economy in modern times should be established and completed. The social credit system should be formed on the basis of property right, supported by moral and high consciousness of social credit. Therefore, the basic framework and operation mechanism of the standards system for social credit will be established in 5 years in China in order to make standards play an important role in a regular market and the aspect of credit management, to improve administration's compliance with the regulation, and to facilitate the market economic order.

Credit counseling: a substitute for consumer financial literacy?

OpenAIRE

Disney, Richard; Gathergood, John; Weber, Jörg

2015-01-01

Is financial literacy a substitute or complement for financial advice? In this paper we analyze the decision by consumers to seek financial advice in the form of credit counseling concerning their credit and debt. Credit counseling is an important component of the consumer credit sector for consumers facing debt problems. We combine instrumental variable approaches to account for the endogeneity of an individual’s financial situation to financial literacy, and the endogeneity of financial lit...

Models for assessing and managing credit risk

Directory of Open Access Journals (Sweden)

Neogradi Slađana

2014-01-01

Full Text Available This essay deals with the definition of a model for assessing and managing credit risk. Risk is an inseparable component of any average and normal credit transaction. Looking at the different aspects of the identification and classification of risk in the banking industry as well as representation of the key components of modern risk management. In the first part of the essay will analyze how the impact of credit risk on bank and empirical models for determining the financial difficulties in which the company can be found. Bank on the basis of these models can reduce number of approved risk assets. In the second part, we consider models for improving credit risk with emphasis on Basel I, II and III, and the third part, we conclude that the most appropriate model and gives the best effect for measuring credit risk in domestic banks.

Sovereign Credit Risk, Liquidity and ECB Intervention

DEFF Research Database (Denmark)

Pelizzon, Loriana; Subrahmanyam, Marti G.; Tomio, Davide

This paper explores the interaction between credit risk and liquidity, in the context of the intervention by the European Central Bank (ECB), during the Euro-zone crisis. The laboratory for our investigation is the Italian sovereign bond market, the largest in the Euro-zone. We use a unique data...... between changes in Italian sovereign credit risk and liquidity in the secondary bond market, conditional on the level of credit risk, measured by the Italian sovereign credit default swap (CDS) spread. We demonstrate the existence of a threshold of 500 basis points (bp) in the CDS spread, above which...... there is a structural change in this relationship. Other global systemic factors also a ffect market liquidity, but the speci c credit risk of primary dealers plays only a modest role in a ffecting market liquidity, especially under conditions of stress. Moreover, the data indicate that there is a clear structural...

12 CFR 1400.1 - Farm Credit System Insurance Corporation.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Farm Credit System Insurance Corporation. 1400.1 Section 1400.1 Banks and Banking FARM CREDIT SYSTEM INSURANCE CORPORATION ORGANIZATION AND FUNCTIONS Organization and Functions § 1400.1 Farm Credit System Insurance Corporation. The Farm Credit...

Phenomena and parameters important to burnup credit

International Nuclear Information System (INIS)

Parks, C.V.; Dehart, M.D.; Wagner, J.C.

2001-01-01

Since the mid-1980s, a significant number of studies have been directed at understanding the phenomena and parameters important to implementation of burnup credit in out-of-reactor applications involving pressurized-water- reactor (PWR) spent fuel. The efforts directed at burnup credit involving boiling-water-reactor (BWR) spent fuel have been more limited. This paper reviews the knowledge and experience gained from work performed in the United States and other countries in the study of burnup credit. Relevant physics and analysis phenomenon are identified, and an assessment of their importance to burnup credit implementation for transport and dry cask storage is given. (author)

The LabelHash algorithm for substructure matching

Directory of Open Access Journals (Sweden)

Bryant Drew H

2010-11-01

Full Text Available Abstract Background There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseases and designing new therapeutics. However, experimental protein function determination is expensive and very time-consuming. Computational methods can facilitate function determination by identifying proteins that have high structural and chemical similarity. Results We present LabelHash, a novel algorithm for matching substructural motifs to large collections of protein structures. The algorithm consists of two phases. In the first phase the proteins are preprocessed in a fashion that allows for instant lookup of partial matches to any motif. In the second phase, partial matches for a given motif are expanded to complete matches. The general applicability of the algorithm is demonstrated with three different case studies. First, we show that we can accurately identify members of the enolase superfamily with a single motif. Next, we demonstrate how LabelHash can complement SOIPPA, an algorithm for motif identification and pairwise substructure alignment. Finally, a large collection of Catalytic Site Atlas motifs is used to benchmark the performance of the algorithm. LabelHash runs very efficiently in parallel; matching a motif against all proteins in the 95% sequence identity filtered non-redundant Protein Data Bank typically takes no more than a few minutes. The LabelHash algorithm is available through a web server and as a suite of standalone programs at http://labelhash.kavrakilab.org. The output of the LabelHash algorithm can be further analyzed with Chimera through a plugin that we developed for this purpose. Conclusions LabelHash is an efficient, versatile algorithm for large-scale substructure matching. When LabelHash is running in parallel, motifs can typically be matched against the entire PDB on the order of minutes. The algorithm is able to identify

Financial auditing at enterprises for control of projects realized with credit fund-raising

Science.gov (United States)

Lukmanova, Inessa

2017-10-01

The article analyzes methods of conducting financial audit under the construction control of projects implemented with raising credit funds in modern conditions. This work aims to improve the methodological toolkit of construction control when lending projects of the construction of transport infrastructure. The paper considers correlations of various procedures of construction control, financial audit and organizational and technical factors affecting investment and construction projects. The authors presented the logical scheme of the process of lending to legal entities and developed an algorithm of the procedure for conducting a financial audit, allowing to make possible adjustments and the right decision.

Development of Consumer Credit Laws in Malaysia

OpenAIRE

Rahman, Ahmad Saufi Abdul

2007-01-01

Consumer Credit is a branch of Commercial Law, which has been developing in recent years inMalaysia. The purpose of this paper is to summarize the latest amendments in the consumer credit laws inMalaysia and to highlight its significance. The discussion will be limited to the three most important laws ofconsumer credit in Malaysia: the hire-purchase, money lending and pawn broking laws.

20 CFR 606.23 - Avoidance of tax credit reduction.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Avoidance of tax credit reduction. 606.23 Section 606.23 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR TAX CREDITS... Tax Credit Reduction § 606.23 Avoidance of tax credit reduction. (a) Applicability. Subsection (g) of...

20 CFR 606.20 - Cap on tax credit reduction.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Cap on tax credit reduction. 606.20 Section 606.20 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR TAX CREDITS... Tax Credit Reduction § 606.20 Cap on tax credit reduction. (a) Applicability. Subsection (f) of...

Implied Materiality and Material Disclosures of Credit Ratings

OpenAIRE

Eccles, Robert G; Youmans, Timothy John

2015-01-01

This first of three papers in our series on materiality in credit ratings will examine the materiality of credit ratings from an “implied materiality” and governance disclosure perspective. In the second paper, we will explore the materiality of environmental, social, and governance (ESG) factors in credit ratings’ methodologies and introduce the concept of “layered materiality.” In the third paper, we will evaluate current and potential credit rating agency (CRA) business models based on our...

Tensor Completion Algorithms in Big Data Analytics

OpenAIRE

Song, Qingquan; Ge, Hancheng; Caverlee, James; Hu, Xia

2017-01-01

Tensor completion is a problem of filling the missing or unobserved entries of partially observed tensors. Due to the multidimensional character of tensors in describing complex datasets, tensor completion algorithms and their applications have received wide attention and achievement in areas like data mining, computer vision, signal processing, and neuroscience. In this survey, we provide a modern overview of recent advances in tensor completion algorithms from the perspective of big data an...

A Macroeconomic Model of Credit Risk in Uruguay

Directory of Open Access Journals (Sweden)

Gabriel Illanes

Full Text Available In this paper we evaluate credit risk of the economy as a whole, aiming at the study of the financial stability. This analysis uses as proxy the credit granted by the banking system. We use a non-linear parametric model based on Merton's structural framework for the analysis of the risk associated to a loan portfolio. In this model, default occurs when the return of an economic agent falls under certain threshold which depends on different macroeconomic variables. We use this model to assess the credit risk module in stress tests for the local banking system. We also estimate the "elasticities" of credit categories correspondig to corporate credit and consumer credit, both in national currency and american dollars. We obtain the parameters for the model using maximum likelihood, where the likelihood function contains a random latent factor which is assumed to follow a normal distribution.

CREDIT RISK MINIMIZATION WAYS AND PRICING OF BANKING SERVICES

Directory of Open Access Journals (Sweden)

V. E. Gladkova

2011-01-01

Full Text Available Accurate accounting of own expenses on rendering banking services and forming reasonable prices for them make it possible for commercial banks to adequately react to market situation changes. Credit risk minimization comprises: credit rationing (in Russia according to RF Central Bank norms; credit diversification; credit structuring; and forming reserves to cover respective bank risks (also in accordance with RF CB documents. Effective is bank credit hedging (insuring through credit derivatives. Most advanced at international finance markets are such risk minimization systems as Basel-II and IRBA. Pricing models based on individual assessment of each borrower’s risk class (Risk Based Pricing approach are widely used.

Emission credits : what are they worth?

International Nuclear Information System (INIS)

Wilman, E.A.

2003-01-01

The current cost of making a carbon transaction was discussed with particular reference to a time-line when emissions trading will become more cost-effective and streamlined for quicker results. This paper described how companies are dealing with the risk of emissions trading in terms of pricing and the expected financial impacts of owning a new commodity. The incorporation of emissions credits and trading activities into a company's balance sheet was also described in terms of how banks will consider a company's credit when calculating their loan potential. It was noted that some credits will be valued higher than others based on their historical background. The financial impact that credits have on company assets was addressed in terms of measuring reputation management. The importance of developing a financial plan for effective management was emphasized in terms of evaluating emissions reduction projects and future options. 17 refs., 2 figs

Simultaneous Optimization of Road Tolls and Tradable Credits in Public-private Mixed Networks

Directory of Open Access Journals (Sweden)

Nan Jiang

2017-12-01

Full Text Available This paper investigates a hybrid management policy of road tolls and tradable credits in mixed road networks with both public and private roads. In the public sub-network, a tradable credit scheme is applied to mitigate traffic congestion. In the private sub-network, tolls are collected by the private company, but the toll levels and toll locations are determined by the government. The purpose of toll charge is two-fold: on the one hand, the government uses it as a tool for mitigating congestion; on the other hand, a threshold of revenue should be guaranteed for the profitability of the private company. A bi-level programming model is formulated to minimize the total travel time in the network by taking into account the user equilibrium travel behaviour and the revenue requirement of private firms. To obtain a  global optimum solution, the bi-level model is transformed into an equivalent single-level mixed integer linear program that can be easily solved with commercial software. Numerical examples are provided to demonstrate the effectiveness of the developed model and the efficiency of the proposed algorithm. It is shown that the mixed management schemes can achieve favourable targets, namely, joint implementation of road tolls and tradable credits can effectively mitigate traffic congestion and meanwhile maintain reasonable revenue for the private company.

77 FR 8184 - Foreign Tax Credit Splitting Events

Science.gov (United States)

2012-02-14

... Foreign Tax Credit Splitting Events AGENCY: Internal Revenue Service (IRS), Treasury. ACTION: Notice of... these proposed regulations. The regulations affect taxpayers claiming foreign tax credits. Special... of the Federal Register.] Sec. 1.909-6 Pre-2011 foreign tax credit splitting events. [The text of...

Credit risk in emerging markets Peruvian listed company

Directory of Open Access Journals (Sweden)

Kurt Burneo Farfan

2017-07-01

Full Text Available The aim of this paper is to introduce the importance of the banking credit risk, the main elements that conform it and the main alternatives that are offered to access to a loan as well as a description of its measurement and management in the sector. There will be a general explanation of credit risk and the main parties involved in it. As the topic is developed it is going to be analyzed the lending process carried out by the banks as well as the quantitative and qualitative elements taken into account when taking a credit decision (The 5C’s of credit, credit scoring and models for quantification of losses for instance. Another thing to considerate is that Credit risk arises whenever a borrower is expecting to use future cash flows to pay a current debt. Also, the investors have the access for the information of a client and they are compensated for assuming credit risk by way of interest payments from the borrower or issuer of a debt obligation and the credit risk is a useful tool for the finance management. The Enterprise risk management in Peru changed in 2015 because the local regulator is in process to review the norm, including some aspects of corporate governance; these changes are not included in this research.

Tight gas sand tax credit yields opportunities

International Nuclear Information System (INIS)

Lewis, F.W.; Osburn, A.S.

1991-01-01

The U.S. Internal Revenue Service on Apr. 1, 1991, released the inflation adjustments used in the calculations of Non-Conventional Fuel Tax Credits for 1990. The inflation adjustment, 1.6730, when applied to the base price of $3/bbl of oil equivalent, adjusts the tax credit to $5.019/bbl for oil and 86.53 cents/MMBTU for gas. The conversion factor for equivalent fuels is 5.8 MMBTU/bbl. Unfortunately, the tax credit for tight formation gas continues to be unadjusted for inflation and remains 52 cents/MMBTU. As many producers are aware, the Omnibus Budget Reconciliation Act of 1990 expanded the dates of eligibility and the usage for-Non-Conventional Fuel Tax Credits. Among other provisions, eligible wells may be placed in service until Jan. 1, 1992, and once in place may utilize the credit for production through Dec. 31, 2002. Both dates are 2 year extensions from previous regulations

Discrete Fourier analysis of multigrid algorithms

NARCIS (Netherlands)

van der Vegt, Jacobus J.W.; Rhebergen, Sander

2011-01-01

The main topic of this report is a detailed discussion of the discrete Fourier multilevel analysis of multigrid algorithms. First, a brief overview of multigrid methods is given for discretizations of both linear and nonlinear partial differential equations. Special attention is given to the

Credit Spreads Across the Business Cycle

DEFF Research Database (Denmark)

Nielsen, Mads Stenbo

This paper studies how corporate bond spreads vary with the business cycle. I show that both level and slope of empirical credit spread curves are correlated with the state of the economy, and I link this to variation in idiosyncratic jump risk. I develop a structural credit risk model...... that accounts for both business cycle and jump risk, and show by estimation that the model captures the counter-cyclical level and pro-cyclical slope of empirical credit spread curves. In addition, I provide a new procedure for estimation of idiosyncratic jump risk, which is consistent with observed shocks...

Prefrontal system dysfunction and credit card debt.

Science.gov (United States)

Spinella, Marcello; Yang, Bijou; Lester, David

2004-10-01

Credit card use often involves a disadvantageous allocation of finances because they allow for spending beyond means and buying on impulse. Accordingly they are associated with increased bankruptcy, anxiety, stress, and health problems. Mounting evidence from functional neuroimaging and clinical studies implicates prefrontal-subcortical systems in processing financial information. This study examined the relationship of credit card debt and executive functions using the Frontal System Behavior Scale (FRSBE). After removing the influences of demographic variables (age, sex, education, and income), credit card debt was associated with the Executive Dysfunction scale, but not the Apathy or Disinhibition scales. This suggests that processes of conceptualizing and organizing finances are most relevant to credit card debt, and implicates dorsolateral prefrontal dysfunction.

24 CFR 232.570 - Endorsement of credit instrument.

Science.gov (United States)

2010-04-01

... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Endorsement of credit instrument... of Fire Safety Equipment Eligible Security Instruments § 232.570 Endorsement of credit instrument. The Commissioner shall indicate his insurance of the loan by endorsing the credit instrument and...

26 CFR 31.3302(b)-1 - Additional credit against tax.

Science.gov (United States)

2010-04-01

... 26 Internal Revenue 15 2010-04-01 2010-04-01 false Additional credit against tax. 31.3302(b)-1... credit against tax. (a) In general. In addition to the credit against the tax allowable for contributions... credit allowable against the tax for such year shall be the aggregate of the additional credits allowable...

Dual Credit/Dual Enrollment and Data Driven Policy Implementation

Science.gov (United States)

Lichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug

2014-01-01

The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics…

The National Credit Act Regarding Suretyships and Reckless Lending

African Journals Online (AJOL)

In terms of the National Credit Act a credit provider may conclude a credit agreement with a consumer only after he has made a proper financial assessment and concludes that the consumer will be able to satisfy all of his obligations under all his credit agreements. However, a practice of not conducting this affordability ...

12 CFR 704.17 - State-chartered corporate credit unions.

Science.gov (United States)

2010-01-01

... provided under the laws of the state in which it was chartered. (b) A state-chartered corporate credit... 12 Banks and Banking 6 2010-01-01 2010-01-01 false State-chartered corporate credit unions. 704.17... CORPORATE CREDIT UNIONS § 704.17 State-chartered corporate credit unions. (a) This part does not expand the...

Dual stacked partial least squares for analysis of near-infrared spectra

Energy Technology Data Exchange (ETDEWEB)

Bi, Yiming [Institute of Automation, Chinese Academy of Sciences, 100190 Beijing (China); Xie, Qiong, E-mail: yimbi@163.com [Institute of Automation, Chinese Academy of Sciences, 100190 Beijing (China); Peng, Silong; Tang, Liang; Hu, Yong; Tan, Jie [Institute of Automation, Chinese Academy of Sciences, 100190 Beijing (China); Zhao, Yuhui [School of Economics and Business, Northeastern University at Qinhuangdao, 066000 Qinhuangdao City (China); Li, Changwen [Food Research Institute of Tianjin Tasly Group, 300410 Tianjin (China)

2013-08-20

Graphical abstract: -- Highlights: •Dual stacking steps are used for multivariate calibration of near-infrared spectra. •A selective weighting strategy is introduced that only a subset of all available sub-models is used for model fusion. •Using two public near-infrared datasets, the proposed method achieved competitive results. •The method can be widely applied in many fields, such as Mid-infrared spectra data and Raman spectra data. -- Abstract: A new ensemble learning algorithm is presented for quantitative analysis of near-infrared spectra. The algorithm contains two steps of stacked regression and Partial Least Squares (PLS), termed Dual Stacked Partial Least Squares (DSPLS) algorithm. First, several sub-models were generated from the whole calibration set. The inner-stack step was implemented on sub-intervals of the spectrum. Then the outer-stack step was used to combine these sub-models. Several combination rules of the outer-stack step were analyzed for the proposed DSPLS algorithm. In addition, a novel selective weighting rule was also involved to select a subset of all available sub-models. Experiments on two public near-infrared datasets demonstrate that the proposed DSPLS with selective weighting rule provided superior prediction performance and outperformed the conventional PLS algorithm. Compared with the single model, the new ensemble model can provide more robust prediction result and can be considered an alternative choice for quantitative analytical applications.

Dual stacked partial least squares for analysis of near-infrared spectra

International Nuclear Information System (INIS)

Bi, Yiming; Xie, Qiong; Peng, Silong; Tang, Liang; Hu, Yong; Tan, Jie; Zhao, Yuhui; Li, Changwen

2013-01-01

Graphical abstract: -- Highlights: •Dual stacking steps are used for multivariate calibration of near-infrared spectra. •A selective weighting strategy is introduced that only a subset of all available sub-models is used for model fusion. •Using two public near-infrared datasets, the proposed method achieved competitive results. •The method can be widely applied in many fields, such as Mid-infrared spectra data and Raman spectra data. -- Abstract: A new ensemble learning algorithm is presented for quantitative analysis of near-infrared spectra. The algorithm contains two steps of stacked regression and Partial Least Squares (PLS), termed Dual Stacked Partial Least Squares (DSPLS) algorithm. First, several sub-models were generated from the whole calibration set. The inner-stack step was implemented on sub-intervals of the spectrum. Then the outer-stack step was used to combine these sub-models. Several combination rules of the outer-stack step were analyzed for the proposed DSPLS algorithm. In addition, a novel selective weighting rule was also involved to select a subset of all available sub-models. Experiments on two public near-infrared datasets demonstrate that the proposed DSPLS with selective weighting rule provided superior prediction performance and outperformed the conventional PLS algorithm. Compared with the single model, the new ensemble model can provide more robust prediction result and can be considered an alternative choice for quantitative analytical applications

Optimal advanced credit releases in ecosystem service markets.

Science.gov (United States)

BenDor, Todd K; Guo, Tianshu; Yates, Andrew J

2014-03-01

Ecosystem service markets are popular policy tools for ecosystem protection. Advanced credit releases are an important factor affecting the supply side of ecosystem markets. Under an advanced credit release policy, regulators give ecosystem suppliers a fraction of the total ecosystem credits generated by a restoration project before it is verified that the project actually achieves the required ecological thresholds. In spite of their prominent role in ecosystem markets, there is virtually no regulatory or research literature on the proper design of advanced credit release policies. Using U.S. aquatic ecosystem markets as an example, we develop a principal-agent model of the behavior of regulators and wetland/stream mitigation bankers to determine and explore the optimal degree of advance credit release. The model highlights the tension between regulators' desire to induce market participation, while at the same time ensuring that bankers successfully complete ecological restoration. Our findings suggest several simple guidelines for strengthening advanced credit release policy.

Disposal criticality analysis methodology's principal isotope burnup credit

International Nuclear Information System (INIS)

Doering, T.W.; Thomas, D.A.

2001-01-01

This paper presents the burnup credit aspects of the United States Department of Energy Yucca Mountain Project's methodology for performing criticality analyses for commercial light-water-reactor fuel. The disposal burnup credit methodology uses a 'principal isotope' model, which takes credit for the reduced reactivity associated with the build-up of the primary principal actinides and fission products in irradiated fuel. Burnup credit is important to the disposal criticality analysis methodology and to the design of commercial fuel waste packages. The burnup credit methodology developed for disposal of irradiated commercial nuclear fuel can also be applied to storage and transportation of irradiated commercial nuclear fuel. For all applications a series of loading curves are developed using a best estimate methodology and depending on the application, an additional administrative safety margin may be applied. The burnup credit methodology better represents the 'true' reactivity of the irradiated fuel configuration, and hence the real safety margin, than do evaluations using the 'fresh fuel' assumption. (author)

Micro Credit and Gender: A Critical Assessment

Directory of Open Access Journals (Sweden)

Özlem BALKIZ

2015-12-01

Full Text Available Micro credit programs, which are based on lending money on interest and encouraging savings, have been first been used in Southern countries and are now being implemented worldwide. Mainly aimed at the rural poor, particularly poor women, micro credit programs seek to ensure sustainable economic development in line with the requirements of global capitalism and to include women in the productive activities of the market. Micro credit has been made institutionalized based on three main paradigms, namely financial sustainability, poverty alleviation and women’s empowerment. In micro credit programs, where the emphasis on women’s empowerment is strong, the lack of a social gender perspective is striking. In fact, women may face patriarchal pressure and restrictions at the start in access to loans, loan usage models, participation to the productive activities in the market and during loan repayment. Thus the allegation that by way of micro credit, women will be empowered in terms of economic, social and political means in the family and society becomes questionable. This article, by problematizing women’s relationship with micro credit, will discuss social gender relationships which prevent them from making use of these programs as they wish and from achieving the results they intend

Modelling the predictive performance of credit scoring

Directory of Open Access Journals (Sweden)

Shi-Wei Shen

2013-07-01

Research purpose: The purpose of this empirical paper was to examine the predictive performance of credit scoring systems in Taiwan. Motivation for the study: Corporate lending remains a major business line for financial institutions. However, in light of the recent global financial crises, it has become extremely important for financial institutions to implement rigorous means of assessing clients seeking access to credit facilities. Research design, approach and method: Using a data sample of 10 349 observations drawn between 1992 and 2010, logistic regression models were utilised to examine the predictive performance of credit scoring systems. Main findings: A test of Goodness of fit demonstrated that credit scoring models that incorporated the Taiwan Corporate Credit Risk Index (TCRI, micro- and also macroeconomic variables possessed greater predictive power. This suggests that macroeconomic variables do have explanatory power for default credit risk. Practical/managerial implications: The originality in the study was that three models were developed to predict corporate firms’ defaults based on different microeconomic and macroeconomic factors such as the TCRI, asset growth rates, stock index and gross domestic product. Contribution/value-add: The study utilises different goodness of fits and receiver operator characteristics during the examination of the robustness of the predictive power of these factors.

SYSTEMATIZATION AND ANALYSIS OF PARTIALLY AND FULLY HOMOMORPHIC CRYPTOSYSTEM

Directory of Open Access Journals (Sweden)

A. V. Epishkina

2016-12-01

Full Text Available In this article provides an overview of the known partially and fully homomorphic cryptosystem, such as: RSA, ElGamal, Paillier, Gentry and Halevi. Justified the homomorphic properties of the considered cryptosystems. The comparative analysis of the homomorphic encryption algorithms has been committed

Islamic Banking Existence and Domestic Credit: Study at Seven Countries

Directory of Open Access Journals (Sweden)

Hamdan Yuafi

2017-05-01

Full Text Available This paper empirically investigates the determinants of domestic credit across a wide range of 7 countries; these are United Kingdom, Malaysia, Egypt, Kuwait, Qatar, Bahrain and Indonesia. We use dynamic panel estimation to examine effects of exchange rate, inflation, lending interest rate, banking crisis and existence of wholesale Islamic banking on domestic credit. We obtain several notable empirical results. First, the lending interest rate, banking crisis negatively and insignificantly contribute to domestic credit. The existence of Islamic bank has positive and insignificant contribution to domestic credit, while exchange rate positively and significantly contributes to domestic credit.  Inflation negatively and significantly contributes to domestic credit. Second, banking crisis and existence of wholesale Islamic banking show insignificant effect on domestic credit. Third, we find that today’s domestic credit is depended on domestic credit in the previous year.DOI: 10.15408/aiq9i2.4906

76 FR 13896 - Equal Credit Opportunity

Science.gov (United States)

2011-03-15

... creditors disclose additional information on FCRA adverse action notices. Specifically, a person must... that a creditor obtained information from a consumer reporting agency. Consistent with section 1100F of... action would need to provide a credit score and information relating to that credit score to those...

Tiebreaker: Certification and Multiple Credit Ratings

NARCIS (Netherlands)

D.G.J. Bongaerts (Dion); K.J.M. Cremers (Martijn); W.N. Goetzmann (William)

2008-01-01

textabstractAbstract: This paper explores the role played by multiple credit rating agencies (CRAs) in the market for corporate bonds. Moody’s, S&P and Fitch operate in a competitive setting with market demand for both credit information and the certification value of a high rating. We

The Credit Hour and Public Budgeting.

Science.gov (United States)

Wellman, Jane V.

2003-01-01

Discusses the ways the credit hour has come to be used by public funding systems in higher education. The literature review shows that the credit hour has become a barrier to innovation and a way to create systemic inequities between institutions or sectors in resource allocation. (SLD)

To what extent does banks' credit stimulate economic growth ...

African Journals Online (AJOL)

This study examines the extent to which banks' credit affects economic growth in Nigeria. The data used was collected from the Central Bank of Nigeria statistical bulletin for a period of 24 years from 1990 to 2013. We used credit to the private sector, credit to the public sector and inflation to proxy commercial bank credit ...

26 CFR 20.2012-1 - Credit for gift tax.

Science.gov (United States)

2010-04-01

... 26 Internal Revenue 14 2010-04-01 2010-04-01 false Credit for gift tax. 20.2012-1 Section 20.2012... TAXES ESTATE TAX; ESTATES OF DECEDENTS DYING AFTER AUGUST 16, 1954 Credits Against Tax § 20.2012-1 Credit for gift tax. (a) In general. With respect to gifts made before 1977, a credit is allowed under...

A Political Approach of the Popular Credit: Pierre-Joseph Proudhon and the mutual credit

OpenAIRE

Cyrille Ferraton; David Vallat

2011-01-01

Pierre-Joseph Proudhon’s ideas on credit and money have been considered to be not very relevant and above all unrealistic. However, they have known an uncommon posterity. They influenced Silvio Gesell who is John Maynard Keynes’s reference. This article analyses Pierre-Joseph Proudhon’s exchange bank plan. We show that Pierre- Joseph Proudhon’s ideas on credit and money are opened to criticism but require a reexamination because we can draw many lessons from them.

26 CFR 1.50-1 - Restoration of credit.

Science.gov (United States)

2010-04-01

... Computing Credit for Investment in Certain Depreciable Property § 1.50-1 Restoration of credit. (a) In general. Section 49(a) (relating to termination of credit) does not apply to property— (1) The... new section 38 property in determining qualified investment only that portion of the basis which is...

49 CFR 260.17 - Credit risk premium analysis.

Science.gov (United States)

2010-10-01

... 49 Transportation 4 2010-10-01 2010-10-01 false Credit risk premium analysis. 260.17 Section 260... Financial Assistance § 260.17 Credit risk premium analysis. (a) When Federal appropriations are not available to cover the total subsidy cost, the Administrator will determine the Credit Risk Premium...

77 FR 8127 - Foreign Tax Credit Splitting Events

Science.gov (United States)

2012-02-14

... Tax Credit Splitting Events AGENCY: Internal Revenue Service (IRS), Treasury. ACTION: Final and... affect taxpayers claiming foreign tax credits. The text of the temporary regulations also serves as the... that if there is a foreign tax credit splitting event with respect to a foreign income tax paid or...

20 CFR 601.4 - Certification for tax credit.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Certification for tax credit. 601.4 Section 601.4 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR ADMINISTRATIVE... and Additional Tax Credit and Grant Purposes § 601.4 Certification for tax credit. (a) Within 30 days...

Consumer susceptibility to credit card misuse and indebtedness

OpenAIRE

Awanis, Sandra; Cui, Charles Chi

2014-01-01

Purpose – Prior research suggests that payment mechanisms are imbued with cues that affect purchase evaluation and future spending behavior. Credit cards are distinguished from other payment mechanisms as they elicit greater willingness to spend, prompt weaker recollections of past credit expenses and overvaluation of available funds – a phenomena the authors call as “credit card effect.� Little is known about the individuals’ differential exposure to the credit card effect. The pur...

Credit Risk Management in Chinese Banking Industry

OpenAIRE

Zhang, Lei

2006-01-01

Abstract Credit risk is by far the most important risk faced by banks, and it influences the bank profitability and its long-term operation significantly. Well management on credit risk can be a competitive advantage for banks in the competitive banking industry. Chinese banks suffer from serious financial fragility manifested by high proportions of NPLs and low capital adequacy ratios (Bonin and Huang, 2001). This dissertation examines the real credit performance of Chinese banks ba...

Corporate financing and anticipated credit rating changes

OpenAIRE

Hung, Chi-Hsiou D.; Banerjee, Anurag; Meng, Qingrui

2017-01-01

Firm circumstances change but rating agencies may not make timely revisions to their\\ud ratings, increasing information asymmetry between firms and the market. We examine\\ud whether firms time the securities market before a credit rating agency publicly reveals\\ud its decision to downgrade a firm's credit rating. Using quarterly data, we show that\\ud firms adjust their financing structures before credit rating downgrades are publicly\\ud revealed. More specifically, firms on average increase t...

Credit Constraints, Political Instability, and Capital Accumulation

OpenAIRE

Risto Herrala; Rima Turk-Ariss

2013-01-01

We investigate the complex interactions between credit constraints, political instability, and capital accumulation using a novel approach based on Kiyotaki and Moore’s (1997) theoretical framework. Drawing on a unique firm-level data set from Middle-East and North Africa (MENA), empirical findings point to a large and significant effect of credit conditions on capital accumulation and suggest that continued political unrest worsens credit constraints. The results support the view that financ...

Transposition of the Mortgage Credit Directive into Hungarian and Czech law – The Problem of Credit Intermediaries

Czech Academy of Sciences Publication Activity Database

Simon, Rita

2017-01-01

Roč. 6, č. 3 (2017), s. 106-112 ISSN 2364-4710 Institutional support: RVO:68378122 Keywords : mortgage credit directive * consumer protection * credit intermediaries Subject RIV: AG - Legal Sciences OBOR OECD: Law https://www.kluwerlawonline.com/abstract.php?area=Journals&id=EuCML2017025

75 FR 81378 - Fiduciary Duties at Federal Credit Unions; Mergers and Conversions of Insured Credit Unions

Science.gov (United States)

2010-12-28

... NCUA's neutrality in the final rule and has made this change. A commenter also suggested including this..., where the net worth ratio of the merging credit union exceeds the net worth ratio of the continuing... are entitled to the net worth of a merging credit union. The NCUA Board disagrees. As discussed in the...

Burnup credit activities being conducted in the United States

International Nuclear Information System (INIS)

Lake, W.

1998-01-01

The paper describes burnup credit activities being conducted in the U.S. where burnup credit is either being used or being planned to be used for storage, transport, and disposal of spent nuclear fuel. Currently approved uses of burnup credit are for wet storage of PWR fuel. For dry storage of spent PWR fuel, burnup credit is used to supplement a principle of moderator exclusion. These storage applications have been pursued by the private sector. The Department of Energy (DOE) which is an organization of the U.S. Federal government is seeking approval for burnup credit for transport and disposal applications. For transport of spent fuel, regulatory review of an actinide-only PWR burnup credit method is now being conducted. A request by DOE for regulatory review of actinide and fission product burnup credit for disposal of spent BWR and PWR fuel is scheduled to occur in 1998. (author)

Influence of parameters entanglement on the quantum algorithms

Directory of Open Access Journals (Sweden)

Alexey V. Kasarkin

2012-05-01

Full Text Available The article we consider the influence of parameters entanglement on the quantum algorithms, in particular influence of partial entanglement for quantum teleportation. The simulation results presented in chart form.

Capital Requirements and Credit Rationing

OpenAIRE

Itai Agur

2010-01-01

This paper analyzes the trade-off between financial stability and credit rationing that arises when increasing capital requirements. It extends the Stiglitz-Weiss model of credit rationing to allow for bank default. Bank capital structure then matters for lending incentives. With default and rationing endogenous, optimal capital requirements can be analyzed. Introducing bank financiers, the paper also shows that uninsured funding raises the sensitivity of rationing to capital requirements. In...

The cost of anchoring on credit-card minimum repayments

OpenAIRE

Stewart, Neil

2009-01-01

About three quarters of credit card accounts attract interest charges. In the US, credit card debt is $951.7 billion of a total of $2,539.7 billion of consumer credit. In the UK, credit card debt is £55.1 billion of £174.4 billion of consumer credit. The 2005 US Bankruptcy Abuse Prevention and Consumer Protection Act and the 2003 UK Treasury Select Committee's report require lenders to collect a minimum payment of at least the interest accrued each month. Thus people are protected from the ef...

26 CFR 1.1502-3 - Consolidated tax credits.

Science.gov (United States)

2010-04-01

... 26 Internal Revenue 12 2010-04-01 2010-04-01 false Consolidated tax credits. 1.1502-3 Section 1... (CONTINUED) INCOME TAXES Consolidated Tax Liability § 1.1502-3 Consolidated tax credits. (a) Determination of...) Consolidated limitation based on amount of tax. (i) Notwithstanding the amount of the consolidated credit...

7 CFR 1980.308 - Full faith and credit.

Science.gov (United States)

2010-01-01

... 7 Agriculture 14 2010-01-01 2009-01-01 true Full faith and credit. 1980.308 Section 1980.308...) PROGRAM REGULATIONS (CONTINUED) GENERAL Rural Housing Loans § 1980.308 Full faith and credit. The loan note guarantee constitutes an obligation supported by the full faith and credit of the United States...

40 CFR 80.315 - How are credits used and what are the limitations on credit use?

Science.gov (United States)

2010-07-01

... indicating the years the credits were generated, the identity of the refiner or importer who generated the credits, and the identity of the transferring party, if it is not the same party that generated the... corporate pool average standards under § 80.195. [65 FR 6823, Feb. 10, 2000, as amended at 67 FR 40184, June...

The Role of Credit in Predicting US Recessions

DEFF Research Database (Denmark)

Pönkä, Harri

are useful predictors of US recessions over and above the control variables both in and out of sample. Especially the excess bond premium, capturing the cyclical changes in the relationship between default risk and credit spreads, is found to be a powerful predictor. Overall, models that combine credit......We study the role of credit in forecasting US recession periods with probit models. We employ both classical recession predictors and common factors based on a large panel of financial and macroeconomic variables as control variables. Our findings suggest that a number of credit variables...

Anatomically guided voxel-based partial volume effect correction in brain PET : Impact of MRI segmentation

NARCIS (Netherlands)

Gutierrez, Daniel; Montandon, Marie-Louise; Assal, Frederic; Allaoua, Mohamed; Ratib, Osman; Loevblad, Karl-Olof; Zaidi, Habib

2012-01-01

Partial volume effect is still considered one of the main limitations in brain PET imaging given the limited spatial resolution of current generation PET scanners. The accuracy of anatomically guided partial volume effect correction (PVC) algorithms in brain PET is largely dependent on the

Status of burnup credit implementation in Switzerland

International Nuclear Information System (INIS)

Grimm, P.

1998-01-01

Burnup credit is currently not used for the storage of spent fuel in the reactor pools in Switzerland, but credit is taken for integral burnable absorbers. Interest exists to take credit of burnup in future for the storage in a central away-from-reactor facility presently under construction. For spent fuel transports to foreign reprocessing plants the regulations of the receiving countries must be applied in addition to the Swiss licensing criteria. Burnup credit has been applied by one Swiss PWR utility for such transports in a consistent manner with the licensing practice in the receiving countries. Measurements of reactivity worths of small spent fuel samples in a Swiss zero-power research reactor are at an early stage of planning. (author)

12 CFR 614.4810 - Standby letters of credit.

Science.gov (United States)

2010-01-01

... party in the performance of an obligation. (b) As a matter of sound banking practice, banks for... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Standby letters of credit. 614.4810 Section 614.4810 Banks and Banking FARM CREDIT ADMINISTRATION FARM CREDIT SYSTEM LOAN POLICIES AND OPERATIONS Banks...

How To Be...Credit Smart. "Straight Talk" Series.

Science.gov (United States)

American Financial Services Association, Washington, DC. Consumer Credit Education Foundation.

Designed for first-time borrowers, this pamphlet describes the basics of credit as a part of personal financial planning. Following a self-quiz (with answers) that tests the reader's knowledge of credit, the pamphlet provides guidelines for responsible credit use and outlines steps to take if debt problems occur. Topics covered include the…

12 CFR 932.4 - Credit risk capital requirement.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Credit risk capital requirement. 932.4 Section... CAPITAL STANDARDS FEDERAL HOME LOAN BANK CAPITAL REQUIREMENTS § 932.4 Credit risk capital requirement. (a) General requirement. Each Bank's credit risk capital requirement shall be equal to the sum of the Bank's...

17 CFR 256.411.5 - Investment tax credit.

Science.gov (United States)

2010-04-01

... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Investment tax credit. 256.411... HOLDING COMPANY ACT OF 1935 Income and Expense Accounts § 256.411.5 Investment tax credit. (a) This account shall be debited with the amounts of investment tax credits related to service company property...

7 CFR 3575.3 - Full faith and credit.

Science.gov (United States)

2010-01-01

... 7 Agriculture 15 2010-01-01 2010-01-01 false Full faith and credit. 3575.3 Section 3575.3... AGRICULTURE GENERAL Community Programs Guaranteed Loans § 3575.3 Full faith and credit. The Loan Note Guarantee constitutes an obligation supported by the full faith and credit of the United States and is not...

7 CFR 762.103 - Full faith and credit.

Science.gov (United States)

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Full faith and credit. 762.103 Section 762.103... AGRICULTURE SPECIAL PROGRAMS GUARANTEED FARM LOANS § 762.103 Full faith and credit. (a) Fraud and misrepresentation. The loan guarantee constitutes an obligation supported by the full faith and credit of the United...

7 CFR 1779.3 - Full faith and credit.

Science.gov (United States)

2010-01-01

... 7 Agriculture 12 2010-01-01 2010-01-01 false Full faith and credit. 1779.3 Section 1779.3... AGRICULTURE (CONTINUED) WATER AND WASTE DISPOSAL PROGRAMS GUARANTEED LOANS § 1779.3 Full faith and credit. The Loan Note Guarantee constitutes an obligation supported by the full faith and credit of the United...

Monetary policy and credit conditions: new evidence.

OpenAIRE

Steven Ongena

1995-01-01

A number of recent papers seek to distinguish between "money" and "credit" theories of the transmission of monetary disturbances using asymmetric information arguments. In credit models money causes output not only through the real interest rate but also through the availability of bank credit. The research described in this paper extends the work of Kashyap, Stein and Wilcox (1993) who construct a model that incorporates a relationship benefit to bank borrowing and then test the implications...

Burnup credit activities in the United States

International Nuclear Information System (INIS)

Lake, W.H.; Thomas, D.A.; Doering, T.W.

2001-01-01

This report covers progress in burnup credit activities that have occurred in the United States of America (USA) since the International Atomic Energy Agency's (IAEA's) Advisory Group Meeting (AGM) on Burnup Credit was convened in October 1997. The Proceeding of the AGM were issued in April 1998 (IAEA-TECDOC-1013, April 1998). The three applications of the use of burnup credit that are discussed in this report are spent fuel storage, spent fuel transportation, and spent fuel disposal. (author)

Portfolio Optimization for Multiple Group Credit Unions

National Research Council Canada - National Science Library

Willis, John

1999-01-01

...) to diversify, credit unions now have the opportunity to market their services to specific employee groups or industries which can reduce the overall risk to the credit unions' health or solvency...

CREDIT RISK MANAGEMENT IN THE COMMERCIAL BANKS IN ROMANIA

Directory of Open Access Journals (Sweden)

Mihaela SUDACEVSCHI

2014-04-01

Full Text Available Credit risk is one of the main risks faced by a bank. This kind of risk is generated by the crediting activity of the clients. To manage the credit risk, banks should identify the sources of the risk and to monitor their exposures. These activities mean a better knowledge of the existing and potential clients and their financial situations, by implementing new scoring methods. Also, to avoid the credit risk or to reduce losses, the banks could increase the value of guarantees required in regular credit activities, their periodically reassessment and the periodical analysis of the ability of customers to generate cash flows (for corporate clients and get constant income (for retail customers to provide repayment of credits. This paper aims to prevent and to analyze several measures of credit risk management and it assume that banks on the Romanian banking market and to identify some indices used for customers analysis.

An improved cooperative adaptive cruise control (CACC) algorithm considering invalid communication

Science.gov (United States)

Wang, Pangwei; Wang, Yunpeng; Yu, Guizhen; Tang, Tieqiao

2014-05-01

For the Cooperative Adaptive Cruise Control (CACC) Algorithm, existing research studies mainly focus on how inter-vehicle communication can be used to develop CACC controller, the influence of the communication delays and lags of the actuators to the string stability. However, whether the string stability can be guaranteed when inter-vehicle communication is invalid partially has hardly been considered. This paper presents an improved CACC algorithm based on the sliding mode control theory and analyses the range of CACC controller parameters to maintain string stability. A dynamic model of vehicle spacing deviation in a platoon is then established, and the string stability conditions under improved CACC are analyzed. Unlike the traditional CACC algorithms, the proposed algorithm can ensure the functionality of the CACC system even if inter-vehicle communication is partially invalid. Finally, this paper establishes a platoon of five vehicles to simulate the improved CACC algorithm in MATLAB/Simulink, and the simulation results demonstrate that the improved CACC algorithm can maintain the string stability of a CACC platoon through adjusting the controller parameters and enlarging the spacing to prevent accidents. With guaranteed string stability, the proposed CACC algorithm can prevent oscillation of vehicle spacing and reduce chain collision accidents under real-world circumstances. This research proposes an improved CACC algorithm, which can guarantee the string stability when inter-vehicle communication is invalid.

The capacity credit of micro-combined heat and power

International Nuclear Information System (INIS)

Hawkes, A.D.; Leach, M.A.

2008-01-01

This article is concerned with development of a methodology to determine the capacity credit of micro-combined heat and power (micro-CHP), and application of the method for the UK. Capacity credit is an important parameter in electricity system planning because it measures the amount of conventional generation that would be displaced by an alternative technology. Firstly, a mathematical formulation is presented. Capacity credit is then calculated for three types of micro-CHP units-Stirling engine, internal combustion engine, and fuel cell systems-operating under various control strategies. It is found that low heat-to-power ratio fuel cell technologies achieve the highest capacity credit of approximately 85% for a 1.1 GW penetration when a heat-led control strategy is applied. Higher heat-to-power ratio Stirling engine technology achieves approximately 33% capacity credit for heat-led operation. Low heat-to-power ratio technologies achieve higher capacity credit because they are able to continue operating even when heat demand is relatively low. Capacity credit diminishes as penetration of the technology increases. Overall, the high capacity credit of micro-CHP contributes to the viewpoint that the technology can help meet a number of economic and environmental energy policy aims

Tiebreaker: Certification and multiple credit ratings

NARCIS (Netherlands)

Bongaerts, D.; Cremers, K.J.M.; Goetzmann, W.

2009-01-01

This paper explores the role played by multiple credit rating agencies (CRAs) in the market for corporate bonds. Moody’s, S&P and Fitch operate in a competitive setting with market demand for both credit information and the certification value of a high rating. We empirically document the outcome of

Partial Path Column Generation for the Vehicle Routing Problem

DEFF Research Database (Denmark)

Jepsen, Mads Kehlet; Petersen, Bjørn

This paper presents a column generation algorithm for the Capacitated Vehicle Routing Problem (CVRP) and the Vehicle Routing Problem with Time Windows (VRPTW). Traditionally, column generation models of the CVRP and VRPTW have consisted of a Set Partitioning master problem with each column...... of the giant tour’; a so-called partial path, i.e., not necessarily starting and ending in the depot. This way, the length of the partial path can be bounded and a better control of the size of the solution space for the pricing problem can be obtained....

Formal and Informal Rural Credit in Four Provinces of Vietnam

DEFF Research Database (Denmark)

Barslund, Mikkel Christoffer; Tarp, Finn

This paper uses a survey of 932 rural households to uncover how the rural credit market operates in four provinces of Vietnam. Households obtain credit through formal and informal lenders. Formal loans are almost entirely for production and asset accumulation, while informal loans are used...... for consumption smoothening. Interest rates fell from 1997 to 2002, reflecting increased market integration. Moreover, the determinants of formal and informal credit demand are distinct. While credit rationing depends on education and credit history, in particular, regional differences in the demand for credit...

7 CFR 1738.31 - Full faith and credit.

Science.gov (United States)

2010-01-01

... 7 Agriculture 11 2010-01-01 2010-01-01 false Full faith and credit. 1738.31 Section 1738.31... AGRICULTURE RURAL BROADBAND ACCESS LOANS AND LOAN GUARANTEES Types of Loans § 1738.31 Full faith and credit. Loan guarantees made under this part are supported by the full faith and credit of the United States. ...

Monetary Policies And Credit Financing As Factors In Agricultural ...

African Journals Online (AJOL)

Global Journal of Agricultural Sciences ... cheap interest rate polices has negative effect on credit supply while policies associated with plough ... credit was influenced mainly by the availability of credit subsidies and availability of guarantees.

ENHANCEMENT OF THE CREDIT GRANTING SYSTEM OF AGRICULTURAL PRODUCERS

Directory of Open Access Journals (Sweden)

Yuliya Evgenievna Klishina

2015-08-01

Full Text Available The credit granting system of agricultural enterprises which developed now doesn’t promote development of agricultural production in spite of the facts that are accepted and are financed by the state of the development program of agrarian and industrial complex in various directions. Financial credit relations in the sphere of agrarian and industrial complex are in a stage of formation and have no system nature, in them features of agricultural production are insufficiently considered.In article the directions of development of credit support of agricultural industry, participation of the state in system of agricultural crediting are considered, offers on forming of a three-level credit granting system of agricultural industry which is urged to provide availability of credit resources to all categories of agricultural producers are made.

Dynamic programming approach for partial decision rule optimization

KAUST Repository

Amin, Talha

2012-10-04

This paper is devoted to the study of an extension of dynamic programming approach which allows optimization of partial decision rules relative to the length or coverage. We introduce an uncertainty measure J(T) which is the difference between number of rows in a decision table T and number of rows with the most common decision for T. For a nonnegative real number γ, we consider γ-decision rules (partial decision rules) that localize rows in subtables of T with uncertainty at most γ. Presented algorithm constructs a directed acyclic graph Δ γ(T) which nodes are subtables of the decision table T given by systems of equations of the kind "attribute = value". This algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The graph Δ γ(T) allows us to describe the whole set of so-called irredundant γ-decision rules. We can optimize such set of rules according to length or coverage. This paper contains also results of experiments with decision tables from UCI Machine Learning Repository.

Dynamic programming approach for partial decision rule optimization

KAUST Repository

Amin, Talha M.; Chikalov, Igor; Moshkov, Mikhail; Zielosko, Beata

2012-01-01

This paper is devoted to the study of an extension of dynamic programming approach which allows optimization of partial decision rules relative to the length or coverage. We introduce an uncertainty measure J(T) which is the difference between number of rows in a decision table T and number of rows with the most common decision for T. For a nonnegative real number γ, we consider γ-decision rules (partial decision rules) that localize rows in subtables of T with uncertainty at most γ. Presented algorithm constructs a directed acyclic graph Δ γ(T) which nodes are subtables of the decision table T given by systems of equations of the kind "attribute = value". This algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The graph Δ γ(T) allows us to describe the whole set of so-called irredundant γ-decision rules. We can optimize such set of rules according to length or coverage. This paper contains also results of experiments with decision tables from UCI Machine Learning Repository.

76 FR 41590 - Equal Credit Opportunity

Science.gov (United States)

2011-07-15

... discriminate in any aspect of a credit transaction on the basis of sex, race, color, religion, national origin... with questions about their credit score, even if creditors are not in a position to answer those... best position to identify the key factors that affected the score, and the creditor could rely on that...

Credit Ratings and Bank Monitoring Ability

NARCIS (Netherlands)

Nakamura, L.I.; Roszbach, K.

2010-01-01

In this paper we use credit rating data from two Swedish banks to elicit evidence on these banks’ loan monitoring ability. We do so by comparing the ability of bank ratings to predict loan defaults relative to that of public ratings from the Swedish credit bureau. We test the banks’ abilility to

基于听觉场景分析的局部放电降噪算法研究%A Study of Ambient Noise Cancellation Algorithm of Partial Discharge Using CASA

Institute of Scientific and Technical Information of China (English)

刘闻

2016-01-01

In this paper,based on the partial discharge test of the high pressure chamber of the subway,the factory area and other noise environment,the paper proposes a kind of CASA algorithm,which is indepen-dent of the type of noise and the partial discharge noise reduction based on the analysis of the auditory scene.The algorithm uses two channels to col ect the signal energy,the simulation of the test instrument to extract the intensity difference of different channel signals,as a basis to identify the signal and noise.Then,the acoustic masking effect is used to cover the noise,and the enhancement of the partial discharge signal is realized.%该文针对周围为地铁，厂区等噪声环境下的高压室进行超声波局部放电测试，提出一种与噪声的类型无关、基于听觉场景分析的局部放电降噪CASA算法。该算法利用两个通道采集到的信号能量的不同，模拟局放测试仪提取不同信道信号的强度差，以此为依据来辨别信号和噪声。然后利用声学掩蔽效应，对噪声进行掩蔽，实现局部放电信号的增强。

Multiple Layers of Credit and Mortgage Crises

OpenAIRE

Paula Hernandez-Verme

2011-01-01

I examine a production economy with a financial sector that contains multiple layers of credit. Such layers are designed to constitute credit chains which are inclusive of a simple mortgage market. The focus is on the nature and contagion properties of credit chains in an economy where the financial sector plays a real allocative role and agents have a nontrivial choice of whether to default on mortgages or not. Multiple equilibria with different rates of default are observed, due to the pres...

Credit Card Attitudes and Behaviors of College Students

Science.gov (United States)

Joo, S.-H.; Grable, J. E.; Bagwell, D. C.

2005-01-01

At a southwestern public university, 242 students responded to a questionnaire about their credit-card use and attitudes. The results revealed that about 70 percent of the students held one or more credit cards, and about 10 percent had five or more credit cards. Twenty-two percent never kept copies of their charge slips, and only 49 percent paid…

5 CFR 1315.13 - Commodity Credit Corporation payments.

Science.gov (United States)

2010-01-01

... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Commodity Credit Corporation payments... PAYMENT § 1315.13 Commodity Credit Corporation payments. As provided in § 1315.1(d), the provisions of... Credit Corporation (CCC) pursuant to Section 4(h) of the Act of June 29, 1948 (15 U.S.C. 714b(h)) (“CCC...

The impact of the credit legislation on consumers

Directory of Open Access Journals (Sweden)

Hlako Choma

2016-12-01

Full Text Available The purpose of this paper is to examine two South Africa legislations dealing with over indebtedness of a consumer. It is clear that in terms of the South African law, section 129 (1 and 130 (3 of the National Credit Act provide that a creditor provider who wishes to enforce a debt under a credit agreement must first issue a section 129 (1 (a notice to the consumer (the purpose of the notice is to notify the consumer of his/her arrears. On the other hand, the South African National Credit Act encourages the consumers to fulfil the financial obligations for which they are responsible. The second legislation to be examined which serve or appear to serve same purpose as the National Credit Act is the Insolvency Act. It therefore, postulated that the compulsory sequestration of a consumer in terms of the Insolvency Act would stand as an alternative remedy for a credit provider before she/he can have recourse mechanisms, such as debt review that are focused on satisfaction of the consumer’s financial obligation , in terms of the provisions of the National Credit Act. The paper determines to what extend these measures comply with the constitutional consumer protection demands. The legislature had been pertinently cognizant of the Insolvency Act when it lately enacted the National Credit Act. This is much apparent from the express amendment of section 84 of the Insolvency Act to the extent set out in schedule 2 of the National Credit Act

British and American attitudes toward credit cards.

Science.gov (United States)

Yang, Bijou; James, Simon; Lester, David

2006-04-01

American university students owned more than twice as many credit cards as British university students. However, scores on a credit card attitude scale predicted the number of cards owned by respondents in both countries.

76 FR 34985 - Farm Credit System Insurance Corporation Board Meeting

Science.gov (United States)

2011-06-15

... FARM CREDIT SYSTEM INSURANCE CORPORATION Farm Credit System Insurance Corporation Board Meeting AGENCY: Farm Credit System Insurance Corporation. SUMMARY: Notice is hereby given of the regular meeting of the Farm Credit System Insurance Corporation Board (Board). Date and Time: The meeting of the...

Retailer's optimal credit period and cycle time in a supply chain for deteriorating items with up-stream and down-stream trade credits

Science.gov (United States)

Mahata, Gour Chandra

2015-09-01

In practice, the supplier often offers the retailers a trade credit period and the retailer in turn provides a trade credit period to her/his customer to stimulate sales and reduce inventory. From the retailer's perspective, granting trade credit not only increases sales and revenue but also increases opportunity cost (i.e., the capital opportunity loss during credit period) and default risk (i.e., the percentage that the customer will not be able to pay off his/her debt obligations). Hence, how to determine credit period is increasingly recognized as an important strategy to increase retailer's profitability. Also, the selling items such as fruits, fresh fishes, gasoline, photographic films, pharmaceuticals and volatile liquids deteriorate continuously due to evaporation, obsolescence and spoilage. In this paper, we propose an economic order quantity model for the retailer where (1) the supplier provides an up-stream trade credit and the retailer also offers a down-stream trade credit, (2) the retailer's down-stream trade credit to the buyer not only increases sales and revenue but also opportunity cost and default risk, and (3) the selling items are perishable. Under these conditions, we model the retailer's inventory system as a profit maximization problem to determine the retailer's optimal replenishment decisions under the supply chain management. We then show that the retailer's optimal credit period and cycle time not only exist but also are unique. We deduce some previously published results of other researchers as special cases. Finally, we use some numerical examples to illustrate the theoretical results.

Reconstruction-based Digital Dental Occlusion of the Partially Edentulous Dentition

Science.gov (United States)

Zhang, Jian; Xia, James J.; Li, Jianfu; Zhou, Xiaobo

2016-01-01

Partially edentulous dentition presents a challenging problem for the surgical planning of digital dental occlusion in the field of craniomaxillofacial surgery because of the incorrect maxillomandibular distance caused by missing teeth. We propose an innovative approach called Dental Reconstruction with Symmetrical Teeth (DRST) to achieve accurate dental occlusion for the partially edentulous cases. In this DRST approach, the rigid transformation between two symmetrical teeth existing on the left and right dental model is estimated through probabilistic point registration by matching the two shapes. With the estimated transformation, the partially edentulous space can be virtually filled with the teeth in its symmetrical position. Dental alignment is performed by digital dental occlusion reestablishment algorithm with the reconstructed complete dental model. Satisfactory reconstruction and occlusion results are demonstrated with the synthetic and real partially edentulous models. PMID:26584502

The market for tradable renewable energy credits

International Nuclear Information System (INIS)

Berry, David

2002-01-01

As states seek to foster the development of renewable energy resources, some have introduced renewable portfolio standards (RPSs) which require retailers of electricity to derive a specified amount of their energy supply from renewable energy resources. RPSs in Texas, Arizona, Wisconsin and Nevada allow for or require the use of tradable renewable energy credits. The price of such credits is expected to reflect the cost premium for generating electricity from renewable resources relative to the market price of conventionally generated electricity. Using the market to trade renewable energy credits exposes buyers and sellers to risks of imperfect information, poor performance, and opportunism. These risks can be managed through contractual arrangements and regulatory requirements pertaining to property rights in credits, pricing, term of the contract, and assurance of performance

Probabilistic assessment of dry transport with burnup credit

International Nuclear Information System (INIS)

Lake, W.H.

2003-01-01

The general concept of probabilistic analysis and its application to the use of burnup credit in spent fuel transport is explored. Discussion of the probabilistic analysis method is presented. The concepts of risk and its perception are introduced, and models are suggested for performing probability and risk estimates. The general probabilistic models are used for evaluating the application of burnup credit for dry spent nuclear fuel transport. Two basic cases are considered. The first addresses the question of the relative likelihood of exceeding an established criticality safety limit with and without burnup credit. The second examines the effect of using burnup credit on the overall risk for dry spent fuel transport. Using reasoned arguments and related failure probability and consequence data analysis is performed to estimate the risks of using burnup credit for dry transport of spent nuclear fuel. (author)

Pricing Chinese Convertible Bonds with Dynamic Credit Risk

Directory of Open Access Journals (Sweden)

Ping Li

2014-01-01

Full Text Available To price convertible bonds more precisely, least squares Monte Carlo (LSM method is used in this paper for its advantage in handling the dependence of derivatives on the path, and dynamic credit risk is used to replace the fixed one to make the value of convertible bonds reflect the real credit risk. In the empirical study, we price convertible bonds based on static credit risk and dynamic credit risk, respectively. Empirical results indicate that the ICBC convertible bond has been overpriced, resulting from the underestimation of credit risk. In addition, when there is an issue of dividend, the conversion price will change in China's convertible bonds, while it does not change in the international convertible bonds. So we also empirically study the difference between the convertible bond's prices by assuming whether the conversion price changes or not.

monetary policies and credit financing as factors in agricultural ...

African Journals Online (AJOL)

controls the supply of money. This assumes the ... input supply, marketing services and of course credit supply. Provision of ... credit in state, assess the impact of credit on agricultural ..... Inflation targeting be a framework for monetary policy.

Trade Credit and Informational Asymmetry.

OpenAIRE

Smith, Janet Kiholm

1987-01-01

Commonly used trade credit terms implicitly define a high interest rate that operates as an efficient screening device where information about buyer default risk is asymmetrically held. By offering trade credit, a seller can identify prospective defaults more quickl y than if financial institutions were the sole providers of short-ter m financing. The information is valuable in cases where a seller has made nonsalvageable investments in buyers since it enables the seller to take actions to pr...

Credit Stagnation in Latin America

OpenAIRE

Adolfo Barajas; Roberto Steiner

2002-01-01

This study examines the recent marked slowdown in bank credit to the private sector in Latin America. Based on the study of eight countries (Argentina, Bolivia, Brazil, Chile, Colombia, Peru, Mexico, and Venezuela), the magnitude of the slowdown is documented, comparing it to historical behavior and to slowdown episodes in other regions of the world. Second, changes in bank balance sheets are examined to determine whether the credit slowdown is merely a reflection of a slowdown in bank deposi...

Emissions credits from natural gas vehicles

International Nuclear Information System (INIS)

Anderson, J.F.; Kodjak, D.

1997-01-01

Dedicated natural gas vehicles (NGVs) often are capable of testing to lower than federally required engine certification standards. NGVs often meet inherently low emission vehicle (ILEV) and ultra low emission vehicle (ULEV) standards. Over the useful life of the vehicle, a significant amount of mobile source emission reduction credits (MSERCs) can be generated. This paper will discuss key elements of establishing a workable methodology to quantify the emissions benefits generated through the purchase and use of heavy-duty natural gas vehicles instead of heavy-duty diesel vehicles. The paper will focus on a public fleet of transit buses owned by the Massachusetts Bay Transit Agency, the Massachusetts Port Authority, and a private fleet of waste haulers. Public fleets may generate emission credits as a key compliance option to offset emission shortfalls from changes to the Employee Commute Options (ECO) program, the Inspection and Maintenance program, and facilitate annual surface transportation conformity. Private fleets may generate emission credits for open market trading to area and stationary sources seeking to buy credits from mobile sources, where allowed by EPA and state policy

Fish marketing and credit in Viet Nam

National Research Council Canada - National Science Library

Lem, Audun

2004-01-01

.... State-owned financial institutions play a major role in financing capital expenditure while working capital requirements are mainly met by informal sources of credit. However, future investment requirements and credit needs are greater than currently available.

Credit risk in liberalised power and natural gas markets

International Nuclear Information System (INIS)

Lapson, E.; Hunter, Richard

1999-01-01

This chapter examines the relationship of market structure and price volatility to credit risk, and discusses credit risk and energy market structures, credit risk in bilateral contracts, market evolution, and the effect of liberalising power markets on credit quality considering the power liberalising in Europe, the pace of change, and the new risks and opportunities. The market structure in Europe is addressed, and the EU Directive 96/92/EC, structural requirements, access for new generation capacity, and transmission costs are considered. Details of the liberalisation in the UK electricity market, the German market, and the Nord Pool are given, and the best credit practices in bilateral markets, and the quantifying of expected credit loss are described. Panels highlighting the need to know your counterparty in evaluating and negotiating bilateral contracts, and lessons learnt from the June 1998 US power price spike are presented

Implementation of burnup credit in spent fuel management systems

International Nuclear Information System (INIS)

Dyck, H.P.

2001-01-01

Improved calculational methods allow one to take credit for the reactivity reduction associated with fuel burnup. This means reducing the analysis conservatism while maintaining an adequate safety margin. The motivation for using burnup credit in criticality safety applications is based on economic considerations and additional benefits contributing to public health and safety and resource conservation. Interest in the implementation of burnup credit has been shown by many countries. In 1997, the International Atomic Energy Agency (IAEA) started a task to monitor the implementation of burnup credit in spent fuel management systems, to provide a forum to exchange information, to discuss the matter and to gather and disseminate information on the status of national practices of burnup credit implementation in the Member States. The task addresses current and future aspects of burnup credit. This task was continued during the following years. (author)

13 CFR 120.333 - Are there any special credit criteria?

Science.gov (United States)

2010-01-01

... addition to regular credit evaluation criteria, SBA shall weigh the greater risk associated with energy... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Are there any special credit criteria? 120.333 Section 120.333 Business Credit and Assistance SMALL BUSINESS ADMINISTRATION BUSINESS...

Algorithm 896: LSA: Algorithms for Large-Scale Optimization

Czech Academy of Sciences Publication Activity Database

Lukšan, Ladislav; Matonoha, Ctirad; Vlček, Jan

2009-01-01

Roč. 36, č. 3 (2009), 16-1-16-29 ISSN 0098-3500 R&D Pro jects: GA AV ČR IAA1030405; GA ČR GP201/06/P397 Institutional research plan: CEZ:AV0Z10300504 Keywords : algorithms * design * large-scale optimization * large-scale nonsmooth optimization * large-scale nonlinear least squares * large-scale nonlinear minimax * large-scale systems of nonlinear equations * sparse pro blems * partially separable pro blems * limited-memory methods * discrete Newton methods * quasi-Newton methods * primal interior-point methods Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 1.904, year: 2009

An improved partial bundle method for linearly constrained minimax problems

Directory of Open Access Journals (Sweden)

Chunming Tang

2016-02-01

Full Text Available In this paper, we propose an improved partial bundle method for solving linearly constrained minimax problems. In order to reduce the number of component function evaluations, we utilize a partial cutting-planes model to substitute for the traditional one. At each iteration, only one quadratic programming subproblem needs to be solved to obtain a new trial point. An improved descent test criterion is introduced to simplify the algorithm. The method produces a sequence of feasible trial points, and ensures that the objective function is monotonically decreasing on the sequence of stability centers. Global convergence of the algorithm is established. Moreover, we utilize the subgradient aggregation strategy to control the size of the bundle and therefore overcome the difficulty of computation and storage. Finally, some preliminary numerical results show that the proposed method is effective.

Insertion algorithms for network model database management systems

Science.gov (United States)

Mamadolimov, Abdurashid; Khikmat, Saburov

2017-12-01

The network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types are arcs, forms partial order. When a database is large and a query comparison is expensive then the efficiency requirement of managing algorithms is minimizing the number of query comparisons. We consider updating operation for network model database management systems. We develop a new sequantial algorithm for updating operation. Also we suggest a distributed version of the algorithm.

Potentials in Asian Export Credit Cooperation

Institute of Scientific and Technical Information of China (English)

无

2004-01-01

"Mekong River Regional Development Project advocated by Asian Development Bank (ADB) has been implemented. Trans-Asia Railway and Trans-Asia Highway are being discussed. It is a good opportunity for Asian Export Credit Agencies (ECAs) to cooperate and financing these large crossboarder projects."On May 11, at the 10th Annual Meeting of Asian Export Credit Agencies,

Compulsive buying and credit card misuse among credit card holders: The roles of self-esteem, materialism, impulsive buying and budget constraint

Directory of Open Access Journals (Sweden)

Nor Asiah Omar

2014-02-01

Full Text Available Purpose: This study aims to examine the factors that influence credit card misuse among working adults in Klang Valley, Malaysia. The relationship among self-esteem, materialism, impulsive buying, budget constraint, compulsive buying and credit card misuse are explored in this study. Design/methodology/approach: A total of 186 questionnaires was collected via convenience sampling from credit card users of working adults in Malaysia. A structural equation model that assesses the relationship between the proposed variables is tested using AMOS 20. Findings: The findings reveal that budget constraints, impulsive buying and materialism have a statistically significant influence on compulsive buying. In terms of credit card misuse, it is influenced negatively by self-esteem while positively by compulsive buying. Originality/value: Despite vast research on compulsive buying and credit card misuse, very few studies have examined it in the non-Western context.

Burnup credit for storage and transportation casks

International Nuclear Information System (INIS)

Wells, A.H.

1988-01-01

The application of burnup credit to storage and transportation cask licensing results in a significant improvement in cask capacity and an associated reduction of the cost per kilogram of uranium in the cask contents. The issues for licensing with burnup credit deal primarily with the treatment of fission product poisons and methods of verification of burnup during cask operations. Other issues include benchmarking of cross-section sets and codes and the effect of spatial variation of burnup within an assembly. The licensing of burnup credit for casks will be complex, although the criticality calculations are not themselves difficult. Attention should be directed to the use of fission product poisons and the uncertainties that they introduce. Verification of burnup by measurements will remove some of the concerns for criticality safety. Calculations for burnup credit casks should consider rod-to-rod and axial variations of burnup, as well as variability of burnable poisons it they are used in the assembly. In spite of the complexity of cask burnup credit licensing issues, these issues appear to be resolvable within the current state of the art of criticality safety

International capital tax evasion and the foreign tax credit puzzle

OpenAIRE

Kimberley A. Scharf

2001-01-01

This paper examines the role of international tax evasion for the choice of an optimal foreign tax credit by a capital exporting region. Since a foreign tax credit raises the opportunity cost of concealing foreign source income, it can be employed to discourage evasion activity. The existence of international tax evasion possibilities could thus help rationalize a choice of tax credit in excess of a deduction-equivalent credit level. Our analysis shows that, in general the optimal credit will...

PAPR Reduction in OFDM-based Visible Light Communication Systems Using a Combination of Novel Peak-value Feedback Algorithm and Genetic Algorithm

Science.gov (United States)

Deng, Honggui; Liu, Yan; Ren, Shuang; He, Hailang; Tang, Chengying