Search results

This paper describes a self‐test procedure for a micromachined silicon accelerometer realized using a commercially available microprocessor. The accelerometer is fabricated using a combination of thick‐film printing and silicon micromachining. It consists of a silicon structure with thick‐film piezoelectric elements that act as sensors, detecting the deflections of the inertial mass, and also as actuators capable of performing a self‐test routine. The self‐test procedure must be performed at resonance and the microprocessor is used to identify the individual resonant frequency of each device and confirm the operation of the PZT elements. This work has successfully demonstrated the feasibility of a microprocessor implemented procedure and has highlighted some interesting behavioral characteristics of the accelerometer. The microprocessor could also be used in the future to fully test and calibrate the device thereby ensuring correct and accurate operation.

For decades, continuous research work is going on to maximize the power harvested from the sun; however, there is only a limited analysis on exploiting the microwatt output power from indoor lightings. Microelectronic system has power demand in the µW range, and therefore, indoor photovoltaics would be appropriate for micro-energy harvesting appliances. “Energy harvesting is defined as the transfer process by which energy source is acquired from the ambient energy, stored in energy storage element and powered to the target systems”. The theory of energy harvesting is: gathering energy from surroundings and offering technological solutions such as solar energy harvesting, wind energy collection and vibration energy harvesting. “The solar cell or photovoltaic cell (PV), is a device that converts light into electric current using the photoelectric effect”. Factors such as light source, temperature, circuit connection, light intensity, angle and height can manipulate the functions of PV cells. Among these, the most noticeable factor is the light intensity that has a major impact on the operations of solar panels.

This paper aims to design an enhanced prediction model on illuminance or irradiance by an optimized artificial neural network (ANN). The input attributes or the features considered here are temperatures, maxim, TSL, VI, short circuit current, open-circuit voltage, maximum power point (MPP) voltage, MPP current and MPP power, respectively. To enhance the performance of the prediction model, the weights of ANN are optimally tuned by a new self-improved brain storm optimization (SI-BSO) model.

The superiority of the implemented work is compared and proved over the conventional models in terms of error analysis and prediction analysis. Accordingly, the presented approach was analysed and its superiority was proved over other conventional schemes such as ANN, ANN-Levenberg–Marquardt (LM), adaptive-network-based fuzzy inference system (ANFIS) and brainstorm optimization (BSO). In addition, analysis was held with respect to error measures such as mean absolute relative error (MARE), mean square root error (MSRE), mean absolute error and mean absolute percentage error. Moreover, prediction analysis was also performed that revealed the betterment of the presented model. More particularly, the proposed ANN + SI-BSO model has attained minimal error for all measures when compared to the existing schemes. More particularly, on considering the MARE, the adopted model for data set 1 was 23.61%, 48.12%, 79.39% and 90.86% better than ANN, ANN-LM, ANFIS and BSO models, respectively. Similarly, on considering data set 2, the MSRE of the implemented model was 99.87%, 70.69%, 99.57% and 94.74% better than ANN, ANN-LM, ANFIS and BSO models, respectively. Thus, the enhancement of the presented ANN + SI-BSO scheme has been validated effectively.

This work has established an improved illuminance/irradiance prediction model using the optimization concept. Here, the attributes, namely, temperature, maxim, TSL, VI, Isc, Voc, Vmpp, Impp and Pmpp were given as input to ANN, in which the weights were chosen optimally. For the optimal selection of weights, a novel ANN + SI-BSO model was established, which was an improved version of the BSO model.

Despite the burgeoning research on mass incarceration, women are rarely its focus. Racialised women, whose rates of incarceration have increased more rapidly than other groups, are at the best marginal within much of this literature. Within juvenile justice systems, racialised girls and young women are also disproportionately criminalised and remain markedly over-represented but are often overlooked. The absence of racialised women and girls from dominant accounts of punishment and incarceration is a matter of epistemological, ethical and political concern. Intersectionality offers one means to treat racialised women and girls as focal points for research and advocacy directed towards a reduction in criminalisation and incarceration. While intersectionality does not determine how the knowledge produced is deployed, recognising those who have been unrecognised is a necessary first step in striving to bring about positive change through praxis. Flawed mainstream accounts are unlikely to generate strategies that are well-aligned with the needs and interests of those who remain largely invisible.

The paper aims to present numerical modeling and technology of a very first three axial low temperature cofired ceramics (LTCC) accelerometer.

Low temperature cofired ceramics technology was applied in the fabrication process of the novel device. The numerical modeling was used to predict the properties of the accelerometer, moreover, design of the experiment methodology was used to reduce time of simulation and to get as much as information from the experiment as possible.

The low temperature cofired ceramics make it possible to fabricate three axial accelerometer.

The presented device is just a first prototype. Therefore, further research work will be needed to improve structural drawbacks and to analyze precisely the device reliability and parameters repeatability.

The device presented in the paper can be applied in systems working in a harsh environment (high temperature and humidity). Ceramic sensors can withstand temperatures up to 600°C.

This paper presents novel three axial LTCC accelerometer.

The chapter introduces the reader to select language of human sexuality and the definitions and characteristics of some key terms related to lesbian, gay, bisexual, transgender, and questioning/queer (LGBTQ+), identifies different theoretical perspectives of human sexuality and sexual orientation, and discusses select LGBTQ+ theories and concepts in a historical context that library and information science (LIS) professionals should consider while performing their roles related to information creation–organization–management–dissemination–research processes. It helps better understand the scope of what is LGBTQ+ information and traces its interdisciplinary connections to reflect on its place within the LIS professions. The chapter discusses these implications with the expectation of the LIS professional to take concrete actions in changing the conditions that lack fairness, equality/equity, justice, and/or human rights for LGBTQ+ people via the use of information. Important considerations in this regard include the need for an integrative interdisciplinary LGBTQ+ information model, growth of a diversified LGBTQ+ knowledge base and experiences, holistic LGBTQ+ information representations, LGBTQ+ activism, and participatory engagement and inclusion of LGBTQ+ users.

This article explores the neglected issue of the overrepresentation in the child protection system of children from ethnic, cultural, religious, racial, and linguistic minorities. It focuses on the accommodation of children’s diverse backgrounds within the s 31(2) threshold and s1 “best interests” stages of intervention under the Children Act 1989. First, it introduces the ethnic child protection penalty as a new tool for capturing the complex nature of overrepresentation of these children. Second, it proposes a framework for understanding the judicial approach in higher court decisions on the current extent and nature of accommodation. Third, it employs the penalty concept to help explain why case law analysis reveals difficulties with the current factor-based approach, whereas empirical research suggests generally satisfactory accommodation in practice. It concludes by proposing a contextualized framework for decision-making in relation to child protection.

The Food and Drugs Act, 1938—or 1 and 2 Geo. VI. chap. 56—contains an important new provision. This provision is designed to prevent the practice of attaching to the containers of foods or drugs labels bearing misleading or exaggerated statements relating to the contents of the package whereby the purchaser is misled into believing that the food or drug he purchases has merits peculiarly its own, but which in fact it does not possess. In other words, this practice is an attempt on the part of the manufacturer or salesman to deceive the buyer as to the nature, substance and quality of the goods he buys.—It is a matter of additional satisfaction to note that the same section of the Act is also directed against the practice of causing to be inserted in newspapers or similar publications, advertisements making similar false or exaggerated claims for such inferior products. The malpractice referred to is particularly evident when certain proprietary foods and patent medicines are concerned.

PROGRAMME Evaluation and Review Technique, familiarly known as PERT, is a vital subject which is growing rapidly. Recognition of this drew an interested audience to a symposium at Keele University on July 13, when 14 companies contributed papers on different aspects of critical path‐planning techniques and their experience as users in such disparate fields as shipbuilding, aviation, nuclear and civil engineering, the chemical and electrical industries, and management consultancy.