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The purpose of this paper is to develop an automated custom-pattern-making system using the width-height independent grading method for semi-customized clothing.

The system reads basic patterns and graded large patterns and calculates the grading ratio of independent horizontal and vertical values on all points in a pattern. The custom pattern is automatically generated by calculating the horizontal and vertical grading amount according to individual body measurements. The system does not follow any complicated alteration rules.

The width-height independent grading method can provide custom-pattern fitted primary body circumference and length and helps to quickly produce semi-customized clothing.

There are few studies on automated custom-pattern-making systems without an alteration rule. This study developed an automatic custom-pattern-making system using the width-height independent grading method.

Success and effectiveness in automated library systems are two related issues that all users are normally looking for when buying or designing a new system. On the basis of the available literature and opinions of automated library systems experts, 26 factors were identified as criteria for the success of automated library systems. Attitudes to these criteria of Australian university librarians and systems managers were examined in a survey conducted in 1993; 23 of these criteria were approved by the survey sample, and the other three were rejected. These criteria should be tested with other groups of experts in library automation to gain more generalisation on the findings.

This paper aims to study different possibilities for implementing easy-to-use and cost-effective micro-systems to detect and trace expelled gases from rotten food. The paper covers various radio-frequency identification (RFID) technologies and gas sensors as the two promoting feasibilities for the tracing of packaged food. Monitoring and maintaining quality and safety of food in transport and storage from producer to consumer are the most important concerns in food industry. Many toxin gases, even in parts per billion ranges, are produced from corrupted and rotten food and can endanger the consumers’ health. To overcome the issues, intelligent traceability of food products, specifically the packaged ones, in terms of temperature, humidity, atmospheric conditions, etc., has been paid attention to by many researchers.

Food poisoning is a serious problem that affects thousands of people every year. Poisoning food must be recognized early to prevent a serious health problem.

Contaminated food is usually detectable by odor. A small gas sensors and low-cost tailored to the type of food packaging and a communication device for transmitting alarm output to the consumer are key factors in achieving intelligent packaging.

Conducting polymer composite, intrinsically conducting polymer and metal oxide conductivity gas sensors, metal–oxide–semiconductor field-effect transistor (MOSFET) gas sensors offer excellent discrimination and lead the way for a new generation of “smart sensors” which will mould the future commercial markets for gas sensors.

Small size, low power consumption, short response time, wide operating temperature, high efficiency and small area are most important features of introduced system for using in package food.

This paper aims to review the determinants that influence adoption of biometric technologies, with particular emphasis on both devices and hotel processes.

The overall objective was to identify the critical hotel processes and devices. This was achieved by a quantitative survey of 300 hotel customers which focused on the key dimensions of technology behaviour, holiday characteristics, hotel processes, biometric technologies and the “willingness” to adopt.

The findings show that 87.3 per cent of hotel customers may be “willing to use” biometric devices and that there is some correlation between the different processes as well as the different biometric technologies.

Conclusions and recommendations are made as to which specific hotel processes might benefit from biometrics and also how hoteliers might anticipate the rollout of biometric technologies.

This paper provides a first, empirical study into customer adoption of biometrics. It reveals opportunities for hotels to profit from emerging biometric technologies.

Enhance your database marketing by incorporating insight into why customers behave as they do and how you can influence that behavior.

The purpose of this paper is to present an affect account that identifies emotions driving sell preferences in stock markets that result in the disposition effect (winning stocks hold too short and losing stocks too long) and to specify how stock prices are influenced.

The affect account is derived based on analyses of previous research showing the disposition effect, proposed explanations of the effect, and basic emotion research. An individual-level analysis is performed of the consequences for stock market prices.

The main proposal is that investors prefer to sell when price increases make the increasing balance of hope and fear equal to a faster increasingly balance of anticipated elation and disappointment, and when price decreases make the faster increasingly negative hope-fear balance equal to the increasing negative elation-disappointment balance. Steepness in slope of the negative hope-fear balance accounts for whether a loser is never sold (an extreme disposition effect), sold later than a winning stock (the usually observed disposition effect), or sold earlier than a winning stock (a reverse disposition effect). The individual-level analysis suggests that the affect-driven disposition effect would intensify or attenuate trends in stock prices depending on the demand-supply balance.

A conceptual contribution to research of emotion influences on stock trading and specifically to explanations of the disposition effect on sell decisions by less sophisticated and experienced investors.

Mashups have been studied extensively in the literature; nevertheless, the large body of work in this area focuses on service/data level integration and leaves UI level integration, hence UI mashups, almost unexplored. The latter generates digital environments in which participating sources exist as individual entities; member applications and data sources share the same graphical space particularly in the form of widgets. However, the true integration can only be realized through enabling widgets to be responsive to the events happening in each other. The authors call such an integration “widget orchestration” and the resulting application “mashup by orchestration”. This article aims to explore and address challenges regarding the realization of widget‐based UI mashups and UI level integration, prominently in terms of widget orchestration, and to assess their suitability for building web‐based personal environments.

The authors provide a holistic view on mashups and a theoretical grounding for widget‐based personal environments. The authors identify the following challenges: widget interoperability, end‐user data mobility as a basis for manual widget orchestration, user behavior mining – for extracting behavioral patterns – as a basis for automated widget orchestration, and infrastructure. The authors introduce functional widget interfaces for application interoperability, exploit semantic web technologies for data interoperability, and realize end‐user data mobility on top of this interoperability framework. The authors employ semantically enhanced workflow/process mining techniques, along with Petri nets as a formal ground, for user behavior mining. The authors outline a reference platform and architecture that is compliant with the authors' strategies, and extend W3C widget specification respectively – prominently with a communication channel – to foster standardization. The authors evaluate their solution approaches regarding interoperability and infrastructure through a qualitative comparison with respect to existing literature, and provide a computational evaluation of the behavior mining approach. The authors realize a prototype for a widget‐based personal learning environment for foreign language learning to demonstrate the feasibility of their solution strategies. The prototype is also used as a basis for the end‐user assessment of widget‐based personal environments and widget orchestration.

The evaluation results suggest that the interoperability framework, platform, and architecture have certain advantages over existing approaches, and the proposed behavior mining techniques are adequate for the extraction of behavioral patterns. User assessments show that widget‐based UI mashups with orchestration (i.e. mashups by orchestration) are promising for the creation of personal environments as well as for an enhanced user experience.

This article provides an extensive exploration of mashups by orchestration and their role in the creation of personal environments. Key challenges are described, along with novel solution strategies to meet them.

Inspection is an activity that controls the outgoing product quality and involves search, detection and measurement or diagnosis. Traditionally, inspection tasks have been allocated to humans. Attempts to automate industrial inspection in order to eliminate errors and alleviate monotony have faced difficulties due to technological limitations and/or prohibitive implementation costs. An occasional compromise is partial automation (hybrid inspection). Reviews published research in manual, hybrid and automated inspection to understand the current research status.

With the aim of discovering the important factors in training staff to use newly installed automated circulation systems, the appropriate libraries in New Zealand were sent a questionnaire in 1988. This asked how libraries had trained their staff, and the outcome of the training in terms of satisfaction with their decisions, sparseness of mistakes after implementation and time taken for staff to attain efficiency after implementation. The most important factors in training were that the vendor should be heavily involved in organizing and carrying out training; training should be given before the system went live; staff should be given detailed training in the whole system; and a number of different training methods should be used. These factors were especially important for libraries installing their first automated system, those installing integrated systems, those with few staff, and those installing their systems in the earlier years of automation; that is, those libraries whose staff have the least background in the system being installed, have the greatest need for excellent training.