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Provides an introduction into wavelets and illustrates their application with two examples. The wavelet transform provides the analyst with a scaleable time‐frequency representation of the signal, which may uncover details not evidenced by conventional signal processing techniques. The signals used in this paper are Doppler ultrasound recordings of blood flow velocity taken from the internal carotid artery and the femoral artery. Shows how wavelets can be used as an alternative signal processing tool to the short time Fourier transform for the extraction of the time‐frequency distribution of Doppler ultrasound signals. Implements wavelet‐based adaptive filtering for the extraction of maximum blood velocity envelopes in the post processing of Doppler signals.

Many incidents of rotor failures are reported due to the development and propagation of the crack. Condition monitoring is adopted for the identification of symptoms of the crack at very early stage in the rotating machinery. Identification requires a reliable and accurate vibration analysis technique for achieving the objective of the study. The purpose of this paper is to detect the crack in the rotating machinery by measuring vibration parameters at different measurement locations.

Two different types of cracks were simulated in these experiments. Experiments were conducted using healthy shaft, crack simulated shaft and glued shaft with and without added unbalance to observe the changes in vibration pattern, magnitude and phase. Deviation in vibration response allows the identification of crack and its location. Initial data were acquired in the form of time waveform. Run-up and coast-down measurements were taken to find the critical speed. The wavelet packet energy analysis technique was used to get better localization in time and frequency zone.

The presence of crack changes the dynamic behavior of the rotor. 1× and 2× harmonic components for steady-state test and critical speed for transient test are important parameters in condition monitoring to detect the crack. To separate the 1× and 2× harmonic component in the different wavelet packets, original signal is decomposed in nine levels. Wavelet packet energy analysis is carried out to find the intensity of the signal due to simulated crack.

Original signals obtained from the experiment test set up may contain noise component and dominant frequency components other than the crack. Wavelet packets contain the crack-related information that are identified and separated in this study. This technique develops the condition monitoring procedure more specific about the type of the fault and accurate due to the separation of specific fault features in different wavelet packets. From the experiment end results, it is found that there is significant rise in a 2× energy component due to crack in the shaft. The intensity of a 1× energy component depends upon the shaft crack and unbalance orientation angle.

The purpose of this paper is to create a new method of prognosis based on remaining useful life (RUL) prediction for degradation assessment.

In the present paper the authors describe a new method of prognosis to improve the accuracy of forecasting the system state. This framework of forecasting integrates the model-based information and the hybrid approach, which employs the structured residuals in the first part and the particle filter in the second part.

The performance of the suggested fusion framework is employed to predict the RUL of battery pack in hybrid electric vehicle. The results show that the proposed method is plausible due to the good prediction of RUL, and can be effectively applied to many systems for prognosis.

In this study the authors illustrate how the suggested method can provide an accurate prediction of the RUL over conventional data-driven methods without physical model and classical particle filter with a single damage model.

This paper discusses the digital hardware and software that is required for data acquisition in a portable electronic nose (e‐nose) system. A review of current e‐nose systems is presented highlighting the methods employed by these systems to acquire the data from the sensor head.

The purpose of this paper is to present a practical instrument for self-evaluation of maturity in the processes of procurement and supply management, applicable to small and medium-size companies, as well as to show how the use of this evaluation tool may help companies to decide what to improve in these processes.

Based on an empirical and theoretical framework, the instrument developed measures the maturity of procurement and supply management activities in four macro-processes: materials management, purchase process, supplier evaluation process and process of procurement planning. For testing the self-evaluation instrument, the authors evaluated the maturity of 48 hospitals and 37 metal-mechanic manufacturing companies located in the southern region of Brazil. To show how to use this tool to decide what to improve in procurement and supply processes, the authors conducted a comparative analysis of a hospital and a metal-mechanic company, in relation to the sample of the same segment.

The results show that the instrument is reliable for practical application. Metal-mechanic industries have a greater maturity in the purchase process than in the other three macro-processes. The management of materials is the most mature macro-process in hospitals. Comparing hospitals to metal-mechanic companies, the present research shows that, between 20 and 99 employees, hospitals tend to have a higher level of maturity in the purchase process than metal-mechanic companies. With 100 employees or more, metal-mechanic companies are more mature than hospitals in procurement planning and in selection/evaluation of suppliers.

Presenting a useful self-evaluation instrument, this work demonstrates that the measurement of the maturity level, and benchmarking it with other companies, may help a firm to decide what to improve in its processes of procurement and materials management, showing how an economic sector can understand itself better. Few scientific studies have practical application to the assessment of the degree of maturity of procurement and supply management processes. Besides that the authors did not find other papers presenting a comparison of different segments.

Collaborative research projects are highly complex organizational settings with specific needs and inherent risks that can endanger project success if not managed well. The purpose of this paper is to enlarge the knowledge of operational challenges in collaborative research projects to improve both project and conflict management.

On the basis of the concept of systemic conflict, this study conducts a conflict analysis of a collaborative research project on food security to establish how multiple conflict drivers interact.

The results show that multiple conflict drivers affect the operation of collaborative research projects and the drivers also interact and do not function in isolation. The study also finds that the importance of some drivers differs when comparing project members’ perceptions with the number of interlinkages between drivers. A conflict map is provided to visualize the results.

The empirical evidence provided in this study is limited because it relies on a single case study and on project members’ perceptions.

The research can help not only the research community and, in particular, project management but also funding bodies in dealing with the unpredictability of outcomes created by project dynamics. In addition, the results can feed into future research, project design and management strategies.

The study applies multidimensional conflict analysis to a field that is understudied.

The purpose of this paper is to advance micro-level theorising of sociocultural post-merger integration (PMI) by merging insights from international business and management research on the cognitive and affective dimensions of PMI.

The paper follows a narrative approach to review the previously separate literatures on cognition and emotion in PMI situations. It draws on insights from management research beyond the PMI context to integrate these literatures and as a result, develops a process model of emotional sensemaking in PMI.

An emotional sensemaking approach to PMI helps to explain when and why events might or might not motivate individuals to revisit their interpretation of a PMI and illustrates how and why similar PMI events can lead to opposite individual reactions and, thus, obtain heterogeneous integration outcomes.

The paper discusses how an emotional sensemaking approach can be applied to sociocultural PMI and points to new directions for future studies based on this application. As the model concentrates on the individual level, theoretical implications for sociocultural PMI at the meso- and macro-levels remain limited.

This paper brings forward the dynamics that underlie the processes and outcomes of individuals’ behaviour and reactions to PMI events. The proposed process model of emotional sensemaking in PMI responds to recent calls by sociocultural PMI scholars to promote a processual rather than event-based view of PMI, with a focus on individual actors and an emphasis on the multifaceted dynamics and outcomes of PMI.

The purpose of this paper is to estimate the determinants of per capita expenditures with disaggregate food away from home (FAFH) including variables such as family structure.

The authors estimated a system of expenditure equations (SUR method) with data from the latest Consumer Expenditure Survey of 2008–2009 – (or Pesquisa de Orçamentos Familiares – POF), considering the complex sample design in estimation procedures.

The authors found a positive relationship between woman’s opportunity cost of time and FAFH spending only when the authors considered the effects of wife’s education in higher income class. Hiring domestic help diminishes FAFH spending, mostly for lunch and dinner time meals. The presence of children in the household decreases the consumption of most FAFH categories.

Even though, Brazilian FAFH consumption has been increasing, the presence of women in the labor market seems to play a small role in the determining this type of food consumption. Family structure plays an important role in determining FAFH.

The contribution of the paper is to estimate FAFH expenditures at the disaggregate level and by income class for Brazil. The authors also included alternative family structure specifications as determinants in the model. The authors considered the sample design characteristics in estimation.

Climate change, deforestation and hydropower dams are contributing to environmental change in the Lower Mekong River region, the combined effects of which are felt by many rural Cambodians. How people perceive and manage the effects of environmental change will influence future adaptation strategies. The objective of this research was to investigate whether the use of a low-cost, explicitly spatial method (participatory mapping) can help identify locally relevant opportunities and challenges to climate change adaptation in small, flood-prone communities. Four villages along the banks of the Mekong River in Kratie Province, Cambodia, were the subject of this research. To identify perceived environmental hazards and adaptive responses, eight workshops were conducted using focus-group interviews and participatory mapping. The communities’ responses highlight the evolving nature of environmental hazards, as droughts increase in perceived importance while the patterns of wet season flooding were also perceived to be changing. The attribution of the drivers of these hazards was strongly skewed towards local factors such as deforestation and less towards regional or global drivers affecting the hydrology of the Mekong and climate patterns. Combining participatory mapping with focus-group interviews allowed a greater depth of understanding of the vulnerabilities and opportunities available to communities than reliance on a single qualitative method. The study highlights the potential for a bottom-up transfer of information to strengthen existing climate change policies and tailor adaptation plans to local conditions.

This paper aims to examine the tourist business and marketing strategies of a US agribusiness giant, the United Fruit Company (UFCO), between its incorporation in 1899 and 1940. It considers how tourist marketing served the company’s public-relations interest and tourism’s broader connection to narratives of US ascendancy in the Caribbean Basin.

This study is based on original research in a series of published company materials, including annual reports and a wide variety of marketing materials, as well as a variety of rare primary sources documenting the experiences of US tourists on UFCO cruises.

From its incorporation in 1899, the UFCO developed a Caribbean cruise business as a vital part of its strategies of vertical integration and expansion around the region. Marketing tropical travel at a time when tropical disease dominated US perceptions of such places required a thorough conceptual makeover, and UFCO publicity played an important part in this process. The company advertised Caribbean destinations first for their therapeutic possibilities, but by the 1920s, a framework of anachronistic space and picturesque primitivism predominated in marketing campaigns. The structure of this narrative naturalized the company’s, and more broadly, US, hegemony in the region. While on cruises, tourists became witnesses to and participants in a series of spectacles and activities highlighting the company’s technological prowess and benevolence.

This analysis centers on a largely overlooked dimension of the famed banana company’s enterprise. It is grounded in a wide collection of primary sources largely untapped by researchers, a source base that brings tourist perception and experience into the story of this company’s marketing efforts. This research brings tourism and leisure into the historical discussion of US power in early-twentieth-century Latin America.