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This paper describes the development and the performance characteristics of a pneumatic proximity‐to‐tactile sensing device for automated recognition of manufacturing parts within flexible manufacturing environments. This tactile sensing device utilises a densely packed line array of IC piezoresistive pressure sensors, providing continuous variable back pressure output. The sensing elements incorporate a corresponding line matrix of air jets which form an air cushion between the sensing plane and the target when striking the object of interest. The back pressure output levels form the basis for the tasks of object detection and recognition. The system described is a research prototype and has been evaluated on a simple test rig: in this form it is not at a stage where it can be applied to a recognition situation on the shop floor.

Sitting in a chair is a typical act of modern people. Prolonged sitting and sitting with improper postures can lead to musculoskeletal disorders. Thus, there is a need for a sitting posture classification monitoring system that can predict a sitting posture. The purpose of this paper is to develop a system for classifying children’s sitting postures for the formation of correct postural habits.

For the data analysis, a pressure sensor of film type was installed on the seat of the chair, and image data of the postu.re were collected. A total of 26 children participated in the experiment and collected image data for a total of seven postures. The authors used convolutional neural networks (CNN) algorithm consisting of seven layers. In addition, to compare the accuracy of classification, artificial neural networks (ANN) technique, one of the machine learning techniques, was used.

The CNN algorithm was used for the sitting position classification and the average accuracy obtained by tenfold cross validation was 97.5 percent. The authors confirmed that classification accuracy through CNN algorithm is superior to conventional machine learning algorithms such as ANN and DNN. Through this study, we confirmed the applicability of the CNN-based algorithm that can be applied to the smart chair to support the correct posture in children.

This study successfully performed the posture classification of children using CNN technique, which has not been used in related studies. In addition, by focusing on children, we have expanded the scope of the related research area and expected to contribute to the early postural habits of children.

To study the reasons why UK social enterprises are not yet fulfilling their potential due to the lack of support and trust on the part of key decision makers.

The study was based in Tees Valley, the southernmost sub‐region in northeast England, which has suffered from a decline in its traditional industries over the past 30 years. Reports the results of in‐depth qualitative interviews with 18 local authority economic regeneration officers and leading local strategic partnership managers across the five borough councils as key stakeholders across Tees Valley to explore potential barriers to the development of the social enterprises sector in this sub‐region. Explains that each interview focused on: perceived differences in the culture of the social enterprise sector compared with private business and the public sector; representation of the sector in key decision making in the sub‐region; the potential for developing entrepreneurship and foresight in the sector; and opinions on the level of support required for capacity building.

The results indicated that key stakeholders in the public sector assume that there is a value continuum between the voluntary and community sector, through the social enterprise sector, to the small and medium enterprise (SME) sector, while the assumption is also that the closer an organization is to the voluntary and community sector, the more likely that it will be driven by its social values. Supports the view that social enterprises are both “value led” and “market driven”.

Draws on previously unpublished data from a research project that aimed to assess the size, shape and scope of the social enterprise sector for Tees Valley Partnership.

Insurance is a contract whereby one party (the policyholder) promises and makes a payment or series of payments in exchange for the second party’s (the insurance company’s) promise to indemnify the policyholder for losses covered under the terms of the policy. Perhaps it is easier to just think of insurance as a transaction where the policyholder trades small regular losses (the premium paid) for large and irregular gains (claims proceeds).

While it may seem somewhat disproportionate to devote an entire chapter to more detailed treatment of a single risk financing tool, insurance has a very large impact, not only in terms of its intrinsic value, but also in terms of the many ways in which insurance influences risk management thinking and practice. As will be shown, some of this influence is waning and in other cases it could be argued that insurance ‘thinking’ has hindered efforts to respond to facts on the ground and the ability to adapt the role of risk management in organisations.

To provide a useful discussion, this chapter will cover both the products that the insurance industry offers and the structure of the industry itself, along with addressing legal and regulatory matters that were touched upon in Chapter Nine. The chapter concludes with an overview of public sector insurance issues that provides a basis for understanding alternatives to insurance that have emerged in dramatic fashion in recent decades – which in turn provides a basis for considering some of the constraints that insurance imposes on risk management practice.

The purpose of this paper is to investigate how electronic components can be utilized and integrated into polymeric optical fibre (POF) textiles to refine the design aesthetic, tactile quality and initiate the interaction of textiles with the users; and to study the design process of interactive products by using a novel design process model.

Fashion and textile design methods, textile technology are used in combination with modern technologies such as laser engraving, sensing, short-distance communication technology, throughout the entire process of development of interactive photonics creations.

The results of evaluation indicate that the engineered prototypes can enhance the interactive function of interior furnishing. The usability of interactive POF cushions is optimized by innovative design methods considering both design and technology.

This research explores to combine knowledge from different disciplines, including textile, electronics, sensor and laser to create interactive soft furnishings. The inter-disciplinary research provides a new perspective on how POF fabric can be utilized as a new media to change the way people interact with their living surroundings. The interior soft furnishings are no longer unresponsive to people, but can react to them, adapt to their behaviors, change color according to their preferences and therefore merge into our daily life. The developed prototypes reshape interior soft furnishing, and therefore have both theoretical and practical significance.

The mainstream of current research work in array tactile sensors concentrates on using a soft compliant membrane as a means of transmitting the effect of variable external stimuli to the discrete sensing elements. The soft compliant devices are usually made of a thin flexible substrate such as pressure sensitive pads, conductive materials, conductive coatings, piezoelectric polymers or elastomers. A large number of tactile sensor designs using these types of materials have been investigated by researchers. These include the use of anisotropically conductive silicone rubber (ACS), sponges containing carbon particles or felted carbon fibres, piezoelectric polymers such as polyvinylidene fluoride (PVF2) and conductive elastomers such as Dynacom materials consisting of silicone rubber mixed with metallic compounds.

The purpose of this paper is to develop and test a new measure called the “culture cushion” to account for the inherent positivity surrounding the inter‐cultural tourist experience.

The first study involved the identification of items for the culture cushion construct and included a semi‐structured questionnaire and a panel discussion. The second study assessed unidimensionality and the convergent, discriminant, and nomological validity of the culture cushion dimensions. Respondents were asked to answer questions about a specific international consumption experience and responded to scale items measuring the culture cushion construct.

A two‐dimensional measure of culture cushion was found to predict satisfaction and behavioral intentions. Judgments were more positive when the encounter was novel relative to previous experiences.

Additional studies involving travel locations other than those used in this study should be conducted to investigate alternate effects of the culture cushion.

A major motivation of recreational tourists traveling internationally includes the ability to observe and participate in activities that are culturally unique. Firms that cater to international tourist clientele should focus on operationalizing country‐specific cultural aspects of the experience to enhance overall perceptions.

The international tourist operates within a dual country framework, using his/her own cultural “lens” to notice the uniqueness of the foreign culture while striving to understand and participate in authentic encounters. The culture cushion construct offers a novel measure of the positivity that occurs in culturally unique inter‐cultural experiences.

The purpose of this paper is to understand the antecedents and consequences of an international tourist phenomenon known as the culture cushion.

Using surveys, participants considered a specific international consumption experience and responded to culture cushion, situational variables, the perceived differences in the encounter relative to one in the USA, and behavioral intention items.

The amount spent was found to be an antecedent to both the excitement and the cultural knowledge dimensions of culture cushion while language was an antecedent for excitement only. Excitement had a positive relationship with satisfaction and other behavioral intention measures. Perceived differences mediated the relationship between knowledge and satisfaction with products, atmosphere and customer service such that lower perceptions of cultural knowledge caused greater perceived differences, which resulted in lower satisfaction ratings.

A study of international tourists in the USA should be conducted to determine if the culture cushion has a similar influence.

First, firms that cater to international tourists should speak their native language. Second, the more knowledge a tourist has about the cultural differences in service and retail encounters the more likely he is to appreciate the differences as being culturally driven and not a reflection of poor service.

This research provides unique insights into the international tourist experiences with clear practical implications.

The primary objective of this study is characterizing the anisotropic mechanical properties of corrugated cardboard and simultaneously simulating its drop cushioning dynamic effects under various drop conditions.

Static and dynamic tests were conducted on corrugated cardboard to obtain adequate experimental data in different directions. An effective anisotropic constitutive model is introduced by developing the honeycomb materials model in ANSYS LS-Dyna, and an effective approach is established toward effectively determining the material parameters from the test data obtained. The model is validated by comparing simulation results with experimental data from five drop conditions, including bottom drop, front drop, side drop, 30° side drop and edge drop. Additionally, simulations are conducted to study the cushioning performance of the packaging by dropping the corrugated cardboard at different heights.

The study establishes a fast and effective approach to simulating the drop cushioning performance of corrugated cardboard under various drop conditions, which demonstrates good agreement with experimental data.

This approach is of value for packaging protection and provides guidance for stacking of packaging during transportation.

With the increasing development of the surgical robots, the opto-mechatronic technologies are more potential in the robotics system optimization. The optic signal plays an important role in opto-mechatronic systems. This paper aims to present a review of the research status on fiber-optic-based force and shape sensors in surgical robots.

Advances of fiber-optic-based force and shape sensing techniques in the past 20 years are investigated and summarized according to different surgical requirement and technical characteristics. The research status analysis and development prospects are discussed.

Compared with traditional electrical signal conduction, the phototransduction provides higher speed transmission, lower signal loss and the immunity to electromagnetic interference in robot perception. Most importantly, more and more advanced optic-based sensing technologies are applied to medical robots in the past two decades because the prominence is magnetic resonance imaging compatibility. For medical robots especially, fiber-optic sensing technologies can improve working security, manipulating accuracy and provide force and shape feedback to surgeon.

This is a new perspective. This paper mainly researches the application of optical fiber sensor according to different surgeries which is beneficial to learn the great potential of optical fiber sensor in surgical robots. By enumerating the research progress of medical robots in optimization design, multimode sensing and advanced materials, the development tendency of fiber-optic-based force and shape sensing technologies in surgical robots is prospected.