Geometric shape errors in forging: developing a metric and an inverse model

The complexity of the forging process ensures that there is inherent variability in the geometric shape of a forged part. While knowledge of shape error, comparing the desired versus the measured shape, is significant in measuring part quality the question of more interest is what can this error suggest about the forging process set-up? The first contribution of this paper is to develop a shape error metric which identifies geometric shape differences that occur from a desired forged part. This metric is based on the point distribution deformable model developed in pattern recognition research. The second contribution of this paper is to propose an inverse model that identifies changes in process set-up parameter values by analysing the proposed shape error metric. The metric and inverse models are developed using two sets of simulated hot-forged parts created using two different die pairs (simple and 'M'-shaped die pairs). A neural network is used to classify the shape data into three arbitrarily chosen levels for each parameter and it is accurate to at least 77 per cent in the worst case for the simple die pair data and has an average accuracy of approximately 80 per cent when classifying the more complex 'M'-shaped die pair data.

A shape error metric for sheet metal forming and its application to springback

There are many variations within sheet metal forming, some of which are manifest in the final geometry of the formed component. It is important that this geometric variation be quantified and measured for use in a process or quality control system. The contribution of this paper is to propose a novel way of measuring the geometric difference between the desired shape and an actual formed "U" channel. The metric is based upon measuring errors in terms of the significant manufacturing variations. The metric accords with the manually measured errors of the channel set. The shape error metric is then extended to develop a simple empirical, whole-component, springback error measure. The springback error measure combines into one value all the angle springback and side wall curl geometric errors for a single channel. Two trends were observed: combined springback decreases when the blank holder force is increased; and the combined springback marginally decreases when the die radii is increased.

Fuzzy logic based metric in software testing

How to provide cost-effective strategies for Software Testing has been one of the research focuses in Software Engineering for a long time. Many researchers in Software Engineering have addressed the effectiveness and quality metric of Software Testing, and many interesting results have been obtained. However, one issue of paramount importance in software testing – the intrinsic imprecise and uncertain relationships within testing metrics – is left unaddressed. To this end, a new quality and effectiveness measurement based on fuzzy logic is proposed. The software quality features and analogy-based reasoning are discussed, which can deal with quality and effectiveness consistency between different test projects. Experimental results are also provided to verify the proposed measurement.

Evolutionary structure learning algorithm for Bayesian network and penalized mutual information metric

This paper formulates the problem of learning Bayesian network structures from data as determining the structure that best approximates the probability distribution indicated by the data. A new metric, Penalized Mutual Information metric, is proposed, and a evolutionary algorithm is designed to search for the best structure among alternatives. The experimental results show that this approach is reliable and promising.

Fuzzy c-means density based clustering using data induced metric

We propose a new data induced metric to perform un supervised data classification (clustering). Our goal is to automatically recognize clusters of non-convex shape. We present a new version of fuzzy c-means al gorithm, based on the data induced metric, which is capable to identify non-convex d-dimensional clusters.

Cigarette smoking is negatively associated with family average income among urban and rural men in regional Mainland China

Socio-economic status (SES) has a strong influence on cigarette smoking behaviour. However, as a more sensitive and realistic index of SES, family average income (FAI) has little studied regarding its association with smoking. With a response rate of 90.1%, a cross-sectional study was conducted among randomly selected urban-rural participants (n  = 29,353) between October of 2000 and March of 2001 in Nanjing, China. The proportion of male participants who were current smokers was 54.7%; for females it was 2.2%. After adjustment for possible confounding variables (area of residence, age, education, occupation) males in the middle (OR 0.76; 95% CI 0.69–0.84) and higher (OR 0.64; 95% CI 0.57–0.71) FAI tertiles had lower odds of being smokers than did males in the lower FAI tertile. There were no differences by FAI category in the odds of being an ex-smoker. Therefore, current smoking among adult males is inversely associated with family average income in a regional Chinese population. FAI may inform the targeting of campaigns or other initiatives, particularly in populations where material prosperity is low in some social groups.

Family average income and diagnosed Type 2 diabetes in urban and rural residents in regional mainland China.

Aims: To explore the relationship between family average income (FAI; an index of socio-economic status) and Type 2 diabetes in a region of mainland China. Methods: Population-based cross-sectional study, conducted between October 2000 and March 2001 in administrative villages (n = 45) randomly selected from three urban districts and two rural counties of NanJing municipality, mainland China, with a regional population of 5.6 million. Participants were all local residents aged ≥ 35 years old (n = 29 340); 67.7% from urban areas, 32.3% from rural areas, 49.8% male and 50.2% female. Results: The response rate of eligible participants was 90.1%. The overall prevalence of self-reported Type 2 diabetes was 1.9%. After adjustment for possible confounding variables (age, gender, area of residence, body mass index, educational level, smoking status, occupational and leisure-time physical activity), participants in the higher and middle FAI categories were more than twice as likely to have Type 2 diabetes as those in the lower FAI category. Conclusions: The prevalence of Type 2 diabetes is positively related to socio-economic status (indexed by FAI) in Chinese at the population level. After controlling for potential confounding factors, people in higher socio-economic status groups are more likely to have Type 2 diabetes. These associations are consistent with other effects of epidemiological transition and identify a need for preventive initiatives.

Family average income and body mass index above the healthy weight range among urban and rural resicents in regional Mainland China

Objective: To explore the relationship between family average income (FAI; an index of socio-economic status) and body mass index (BMI; a widely used, inexpensive indicator of weight status) above the healthy weight range in a region of Mainland China. Design: Population-based cross-sectional study, conducted between October 1999 and March 2000 on a sample of regular local residents aged 35 years or older who were selected by random cluster sampling. Setting: Forty-five administrative villages selected from three urban districts and two rural counties of Nanjing municipality, Mainland China, with a regional population of 5.6 million. Subjects: In total, 29 340 subjects participated; 67.7% from urban and 32.3% from rural areas; 49.8% male and 50.2% female. The response rate among eligible participants was 90.1%. Results: The proportion of participants classified as overweight was 30.5%, while 7.8% were identified as obese. After adjusting for possible confounding variables (age, gender, area of residence, educational level, occupational and leisure-time physical activity, daily vegetable consumption and frequency of red meat intake), urban participants were more likely to be overweight or obese relative to their rural counterparts, more women than men were obese, and participants in the lowest FAI tertile were the least likely to be above the healthy weight range. Conclusions: The proportion of adults with BMI above the healthy weight range was positively related to having a higher socio-economic status (indexed by FAI) in a regional Chinese population.

Changing perception of average person's risk does not suffice to change perception of comparative risk

The direct method of assessing “unrealistic optimism” employs a question of the form, “Compared with the average person, what is the chance that event X will occur to you?” It has been proposed that when individuals construct their responses to this question (direct-estimates) they focus much more strongly on estimates of their own risk (self-estimates) than on estimates of the average person's risk (other-estimates). A challenge to this proposal comes from findings that interventions that alter other-estimates also change direct-estimates. Employing a novel intervention technique, we tested the possibility that such interventions may indirectly also change self-estimates and that this is what accounts for their effect on direct-estimates. Study 1 (n = 58) showed that an intervention which was designed to (and did) affect other-estimates also affected self-estimates, while Study 2 (n = 101) showed that it affected direct-estimates. Study 3 (n = 79) confirmed that we could modify the intervention so as to maintain the effect on other-estimates, but eliminate that on self-estimates. Study 4 (n = 112) demonstrated that when this was done, there was no longer any effect on direct-estimates. The findings are consistent with the proposal that direct-estimates are constructed largely just out of self-estimates. Implications for heath education programs are discussed.

Comprehension strategies of above average English as a foreign language (EFL) readers

The study reported in this thesis is a single-shot case study, which aims to provide a detailed description ofthe reading comprehension strategies used by fifteen student teachers ofEnglish from Indonesian- and Javanese-speaking backgrounds in the last year of their four-year Strata-One study at a university In Yogyakarta, Indonesia. These readers were above average among their peers in that their average indexes of grades in Reading and Speaking classes were 3.22 and 3,34 respectively, while the average indexes ofthe peer group were 271 and 2.63, respectively, out ofa scale of 0 to 400. In addition, while students in this university may complete their study by course work or by research, these readers were all enrolled as research students. As studying comprehension strategies involves complex issues, a multi-method approach is required, not only for breadth of coverage, but also to allow for a check on the validity of individual methods. To achieve the goal of the study, thinka1oud tasks, retellings, a reading comprehensIon test, indepth interviews and observations were employed to explore the strategies used. An analysis of the recorded data indicates that these readers used thirty strategies classified under five clusters: infomiation gathering, information processing, text interpretation, comprehension monitoring, and comprehension utilisation. In general, readers started gathering information by silent reading, interpreted the text by an inference or a paraphrase, and ended the task by making selfreflections relevant to the text. Most readers managed to identify problems when they occurred, and monitored their comprehension when they doubted their interpretation, as could be seen from their rereading the text or vocalising its pail(s). When direct interpretation was difficult, readers associated the text with prior knowledge or interrelated parts of the text, The readers in this study share characteristics of both poor and good native readers, in the sense that there was evidence ofgood strategy use butthe readers did not manage to maintain it consistently. As a result, even the successful readers were not able to maximise their potential. The implication is that in order to develop students into independent readers, strategy instruction should be part of and appropriately embedded in, the reading instruction. There is a need not merely to teach strategies as such, but rather to teach flexibility in strategy use. While there was sufficient evidence that thinkaloud tasks and their complementary methods worked to achieve the goals ofthe present study, similar studies with different cohorts are suggested for crosschecks.