In the United States, first generation robots are doing die casting, forging, upsetting, plastic molding, machine loading, spot welding, assembly, glass tube handling, paint…
Abstract
In the United States, first generation robots are doing die casting, forging, upsetting, plastic molding, machine loading, spot welding, assembly, glass tube handling, paint spraying, conveyor loading, handling explosives and radio active materials, and many other jobs which as can be seen, cover many fields and fabricating industries. Figs 7–14 illustrate first generation robots in action on some of the jobs just mentioned.
In 1970 only two manufacturers existed in the United States, namely the American Machine and Foundry (AMF) Versatran and the Unimation, Inc. Unimate. These robots, still in the…
Abstract
In 1970 only two manufacturers existed in the United States, namely the American Machine and Foundry (AMF) Versatran and the Unimation, Inc. Unimate. These robots, still in the forefront today, were just emerging and gaining acceptance in 1970, with approximately 200 industrial robots at work in the U.S., and an amassed 600,000 hours on the job, a negligible amount considering that the total U.S.blue collar work force puts in 200 million hours each day. However more than seventeen types of robots are now available in the U.S. at least twelve of which are manufactured in this country. They range from minirobots with payloads of only a few ounces and reaches of less than a foot to the larger universal robots which can handle payloads of up to 150 lbs., reach 3 ½ ft., and move at speeds up to 3 ft./sec. Recent additions to the U.S. arsenal are the Burch Control robot with a payload capacity of 6000 lbs. Industrial robots are easily reprogrammable, operatorless handling devices that can perform simple, repetitive jobs that require few alternative actions and minimum communications with the work environment. They are well suited to handling parts that are red hot or feezing cold, and they can function in corrosive, noxious or extremely dusty atmospheres that would be injurious to human beings. Passage in the United States of the Occupational Safety and Health Act of 1970 has provided strong impetus for the use of industrial robots. As discussed in a recent article in Assembly Engineering Magazine (Ref.1), the Act currently states that a human being cannot place his hands within punch press dies to load or remove parts, and it is imminent that OSHA standards will be extended to cover other fabricating and assembly machines, such as staking presses, spot welding machines, riveting machines, holding and clamping equipment, electron component Inserting equipment, and automatic screwdriving machines. In many cases the cost and time to retool an existing operation to conform to the standards will be prohibitive compared to the cost and time required to purchase and program an industrial robot to perform the potentially dangerous operations.
Rafik Medjati, Hanifi Zoubir and Brahim Medjahdi
In the Lorentz Heisenberg space H3 endowed with flat metric g3, a translation surface is parametrized by r(x, y) = γ1(x)*γ2(y), where γ1 and γ2 are two planar curves lying in…
Abstract
Purpose
In the Lorentz Heisenberg space H3 endowed with flat metric g3, a translation surface is parametrized by r(x, y) = γ1(x)*γ2(y), where γ1 and γ2 are two planar curves lying in planes, which are not orthogonal. In this article, we classify translation surfaces in H3, which satisfy some algebraic equations in terms of the coordinate functions and the Laplacian operator with respect to the first fundamental form of the surface.
Design/methodology/approach
In this paper, we classify some type of space-like translation surfaces of H3 endowed with flat metric g3 under the conditionΔri = λiri. We will develop the system which describes surfaces of type finite in H3. For solve the system thus obtained, we will use the calculation variational. Finally, we will try to give performances geometric surfaces that meet the condition imposed.
Findings
Classification of six types of translation surfaces of finite type in the three-dimensional Lorentz Heisenberg group H3.
Originality/value
The subject of this paper lies at the border of geometry differential and spectral analysis on manifolds. Historically, the first research on the study of sub-finite type varieties began around the 1970 by B.Y.Chen. The idea was to find a better estimate of the mean total curvature of a compact subvariety of a Euclidean space. In fact, the notion of finite type subvariety is a natural extension of the notion of a minimal subvariety or surface, a notion directly linked to the calculation of variations. The goal of this work is the classification of surfaces in H3, in other words the surfaces which satisfy the condition/Delta (ri) = /Lambda (ri), such that the Laplacian is associated with the first, fundamental form.
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Claire Sinnema, Alan J. Daly, Joelle Rodway, Darren Hannah, Rachel Cann and Yi-Hwa Liou
Ramazan Cansoy and Hanifi Parlar
The purpose of this paper is to examine the relationship between school principals’ instructional leadership behaviors, teacher self-efficacy, and collective teacher efficacy.
Abstract
Purpose
The purpose of this paper is to examine the relationship between school principals’ instructional leadership behaviors, teacher self-efficacy, and collective teacher efficacy.
Design/methodology/approach
The participants were a total of 427 teachers working in elementary, middle, and high schools located in the Cekmekoy district of Istanbul. The data were gathered through the “Effective School Leadership Scale,” the “Teacher Self-Efficacy Scale,” and the “Collective Efficacy Scale.” Arithmetic mean, Pearson product-moment correlation coefficient, and multiple linear regression analysis were used in the data analysis.
Findings
The results revealed positive and significant relationships between school leadership, teacher self-efficacy, and collective teacher efficacy. In addition, effective school leadership behaviors and teacher self-efficacy perceptions were found to be positive and significant predictors of collective teacher efficacy perceptions.
Originality/value
School principals can implement practices to enhance teachers’ competence, to make them feel more effective and competent as a group. In this sense, teachers who do not feel competent can be guided by those who have more experience in the profession. Additionally, opportunities through which they can experience success can be created for these teachers.
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Hanifi Parlar, Muhammet Emin Türkoğlu and Ramazan Cansoy
This study aims to explore the relationship between authoritarian leadership and commitment and the mediating roles of silence and trust in school principals.
Abstract
Purpose
This study aims to explore the relationship between authoritarian leadership and commitment and the mediating roles of silence and trust in school principals.
Design/methodology/approach
This study employed a cross-sectional design to illustrate the relationships among authoritarian leadership, trust in the principal, silence and affective commitment using path analysis evidence provided by 409 K–12 teachers.
Findings
The findings revealed that authoritarian leadership indirectly affected teacher commitment through trust in the principal and acquiescent silence. Furthermore, trust in the principal played a partial mediating role between authoritarian leadership and defensive silence. Authoritarian leadership behaviours decreased teachers' affective commitment by decreasing trust in the principal and increasing organisational silence.
Originality/value
Although leadership and culture have been studied intensively in recent years, authoritarian leadership, which is more commonly seen in Eastern societies, has been less studied in school contexts in the Middle East and Asia. Thus, this study contributes to the literature by examining the factors that might influence affective commitment in schools in an urban setting: authoritarian leadership, silence and trust in school principals.
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Hanifi Parlar, Mahmut Polatcan and Ramazan Cansoy
Professional learning communities that merge under the same goal in schools where social relationship networks are strong can contribute to creating an atmosphere which provides a…
Abstract
Purpose
Professional learning communities that merge under the same goal in schools where social relationship networks are strong can contribute to creating an atmosphere which provides a basis for innovativeness. In this study the relationships between social capital, innovativeness climate and professional learning communities were examined through the views of teachers working at public schools. The paper aims to discuss this issue.
Design/methodology/approach
The data of this study, which utilised correlational survey model, were collected from 734 teachers who work in the Umraniye district of Istanbul, Turkey.
Findings
The findings revealed that there is a positive and statistically significant correlation between social capital, innovativeness climate and professional learning communities. The results demonstrated that teachers’ perceptions of social capital in schools affected their perceptions of innovativeness climate and that professional learning communities had an intermediary role in this relationship. These findings showed that the richness in social relationship networks provided a basis for the development of innovative teaching practices in schools and the professional learning environments created in schools contributed to this process.
Research limitations/implications
In this study, the intermediary role of professional learning communities on the effect of social capital on innovativeness climate was analysed via teachers’ views. In the literature no study studying the relationship between social capital, innovativeness climate and professional learning communities was found.
Practical implications
It can be put forward that there is a need for studies that analyse the effect of the roots of social capital on innovativeness culture to identify other variables that may potentially be relevant. In addition, this study may be a contribution to the literature by providing a study on the concepts of social capital and innovativeness climate, which were studied in the fields of social sciences extensively, in educational settings and this supports the field through theoretical and empirical studies.
Originality/value
This study demonstrated the effects of the concept of social capital on innovativeness climate which provides a basis for innovativeness in educational institutions. This topic is currently on the agenda of the OECD and World Bank. Moreover, this study aims to show the intermediary role of professional learning communities in the relationship between social capital and innovativeness climate.
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Advanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent…
Abstract
Purpose
Advanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent applications including automated process management, standard construction and more accurate dispatched orders to build high-quality government service platforms as more widely data-driven methods are in the process.
Design/methodology/approach
In this study, based on the influence of the record specifications of texts related to work orders generated by the government hotline, machine learning tools are implemented and compared to optimize classify dispatching tasks by performing exploratory studies on the hotline work order text, including linguistics analysis of text feature processing, new word discovery, text clustering and text classification.
Findings
The complexity of the content of the work order is reduced by applying more standardized writing specifications based on combining text grammar numerical features. So, order dispatch success prediction accuracy rate reaches 89.6 per cent after running the LSTM model.
Originality/value
The proposed method can help improve the current dispatching processes run by the government hotline, better guide staff to standardize the writing format of work orders, improve the accuracy of order dispatching and provide innovative support to the current mechanism.
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Ali Mohammadi, Jiami Yang, Yuri Borgianni and Yong Zeng
The purpose of this paper is to analyze theory of inventive problem-solving (TRIZ) in terms of knowledge, skill, workload and affect to understand its effectiveness in enabling…
Abstract
Purpose
The purpose of this paper is to analyze theory of inventive problem-solving (TRIZ) in terms of knowledge, skill, workload and affect to understand its effectiveness in enabling designers to achieve their optimized mental performance.
Design/methodology/approach
TASKS framework, which aims to capture the causal relations among Task workload, affect, skills, knowledge and mental stress, is adopted as our methodology. The framework supports the analysis of how a methodology influence designer’s affect, skills, knowledge and workload. TRIZ-related publications are assessed using the TASKS framework to identify the barriers and enablers in TRIZ-supported design.
Findings
TRIZ has limitations on its logic and tools. Nevertheless, it could create a beneficial impact on mental performance of designers.
Originality/value
This paper provides a theory-driven TRIZ usability analysis based on the materials in the literature following the TASKS framework. The impact of TRIZ, as an enabler or a barrier, has been analyzed in accomplishing a design task.