Search results

The purpose of this paper is to explore how the framing of numbers may be related to the distance between the information provider and information users.

The design of the paper is a case study, in an organizational situation where there are perceived problems in producing stable inscriptions for reporting to users at a distance. The study focuses on the top management level in a small‐sized publicly‐funded theater. The qualitative research design incorporates interviews, observations and document analysis.

The paper illustrates how knowledge and understanding of the circumstances of measurement form a substantial part of what constitutes “distance” between an accounting user and the referred context. It is argued that the framing of numbers may be utilized as a means to control action at a distance. The findings also imply that the use of measurements regarding intangibles may be perceived as useful for purposes beyond internal management.

The paper contributes in two ways to prior research on accountability relations and accounting as an enabler of action at a distance: it elaborates on what constitutes a distance, and it also adds an emphasis on reciprocal behavior by the provider of information in an accountability relation.

In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and precise measurement technique to determine the center distance between two double-hole components. This paper aims to propose an optical-based spatial point distance measurement technique using the spatial triangulation method. The purpose of this paper is to design a specialized measurement system, specifically a spherically mounted retroreflector nest (SMR nest), equipped with two laser displacement sensors and a rotary encoder as the core to achieve accurate distance measurements between the double holes.

To develop an efficient and accurate measurement system, the paper uses a combination of laser displacement sensors and a rotary encoder within the SMR nest. The system is designed, implemented and tested to meet the requirements of precise distance measurement. Software and hardware components have been developed and integrated for validation.

The optical-based distance measurement system achieves high precision at 0.04 mm and repeatability at 0.02 mm within a range of 412.084 mm to 1,590.591 mm. These results validate its suitability for efficient assembly processes, eliminating repetitive errors in aircraft wing assembly.

This paper proposes an optical-based spatial point distance measurement technique, as well as a unique design of a SMR nest and the introduction of two novel calibration techniques, all of which are validated by the developed software and hardware platform.

During the past several decades, national distance (ND) increasingly became a vital cornerstone in international business (IB) research, as both explicit and implicit distance are parts of the essential reasons for IB activities. However, there are various and chaotic methods to measure ND in the last literature; therefore, this paper aims to suggest legitimate uses of ND in the IB field and the best ND dimensions for various situations.

This paper used a historical overview of the theoretical background and conceptual development of ND based on the past four decades worth of studies in leading 17-IB journals using Google Scholar. The authors also focus on multiform ND measurement methods and details through qualitative and quantitative analysis based on previous studies’ data collection.

This research summarized the common measurement methods and elements of different ND and proposed solutions based on a multifaceted analysis.

The micro analysis examines each type of ND in terms of the proportion of variables, issues, measurement methods, representative proxies beyond previous studies. This research also tried to provide clarity and suggest solutions to these problems through our macro& micro-analysis.

Localization is a fundamental problem in wireless sensor networks. In many applications, sensor location information is critical for data processing and meaning. While the global positioning system (GPS) can be used to determine mote locations with meter precision, the high hardware cost and energy requirements of GPS receivers often prohibit the ubiquitous use of GPS for location estimates. This high cost (in terms of hardware price and energy consumption) of GPS has motivated researchers to develop localization protocols that determine mote locations based on cheap hardware and localization algorithms. The purpose of this paper is to present a comprehensive review of wireless sensor network localization techniques, and provide a detailed overview for several distance‐based localization algorithms.

To provide a detailed summary of wireless sensor network localization algorithms, the authors outline a tiered classification system in which they first classify algorithms as distributed, distributed‐centralized, or centralized. From this broad classification, the paper then further categorizes localization algorithms using their protocol techniques. By utilizing this classification system, the authors are able to provide a survey of several wireless sensor network localization algorithms and summarize relative algorithm performance based on the algorithms' classification.

There are numerous localization algorithms available and the performance of these algorithms is dependent on network configuration, environmental variables, and the ranging method implemented. When selecting a localization algorithm, it is important to understand basic algorithm operation and expected performance. This tier‐based algorithm classification system can be used to gain a high‐level understanding of algorithm performance and energy consumption based on known algorithm characteristics.

Localization is a widely researched field and given the quantity of localization algorithms that currently exist, it is impossible to present a complete review of every published algorithm. Instead, the paper presents a holistic view of the current state of localization research and a detailed review of ten representative distance‐based algorithms that have diverse characteristics and methods. This review presents a new classification structure that may help researchers understand, at a high‐level, the expected performance and energy consumption of algorithms not explicitly addressed by our work.

The purpose of this paper is to present an evolutionary clustering algorithm based on mixed measure for complex distributed data.

In this method, the data are first partitioned into some spherical distributed sub‐clusters by using the Euclidean distance as the similarity measurement, and each clustering center represents all the members of corresponding cluster. Then, the clustering centers obtained in the first phase are clustered by using a novel manifold distance as the similarity measurement. The two clustering processes in this method are both based on evolutionary algorithm.

Theoretical analysis and experimental results on seven artificial data sets and seven UCI data sets with different structures show that the novel algorithm has the ability to identify clusters efficiently with no matter simple or complex, convex or non‐convex distribution. When compared with the genetic algorithm‐based clustering and the K‐means algorithm, the proposed algorithm outperformed the compared algorithms on most of the test data sets.

The method presented in this paper represents a new approach to solving clustering problems of complex distributed data. The novel method applies the idea “coarse clustering, fine clustering”, which executes coarse clustering by Euclidean distance and fine clustering by manifold distance as similarity measurements, respectively. The proposed clustering algorithm is shown to be effective in solving data clustering problems with different distribution.

The similarity measurement of time series is an important research in time series detection, which is a basic work of time series clustering, anomaly discovery, prediction and many other data mining problems. The purpose of this paper is to design a new similarity measurement algorithm to improve the performance of the original similarity measurement algorithm. The subsequence morphological information is taken into account by the proposed algorithm, and time series is represented by a pattern, so the similarity measurement algorithm is more accurate.

Following some previous researches on similarity measurement, an improved method is presented. This new method combines morphological representation and dynamic time warping (DTW) technique to measure the similarities of time series. After the segmentation of time series data into segments, three parameter values of median, point number and slope are introduced into the improved distance measurement formula. The effectiveness of the morphological weighted DTW algorithm (MW-DTW) is demonstrated by the example of momentum wheel data of an aircraft attitude control system.

The improved method is insensitive to the distortion and expansion of time axis and can be used to detect the morphological changes of time series data. Simulation results confirm that this method proposed in this paper has a high accuracy of similarity measurement.

This improved method has been used to solve the problem of similarity measurement in time series, which is widely emerged in different fields of science and engineering, such as the field of control, measurement, monitoring, process signal processing and economic analysis.

In the similarity measurement of time series, the distance between sequences is often used as the only detection index. The results of similarity measurement should not be affected by the longitudinal or transverse stretching and translation changes of the sequence, so it is necessary to incorporate the morphological changes of the sequence into similarity measurement. The MW-DTW is more suitable for the actual situation. At the same time, the MW-DTW algorithm reduces the computational complexity by transforming the computational object to subsequences.

A laser‐based system has been developed to automatically measure complete inner profiles of various structures. The system uses a pointed laser source passing through a rotating optical device to obtain a series of distance measurements. To enhance the portability of the system, a hand‐held computer is selected to control the laser source and the rotating optical device. In addition to system control, the software associated with the handheld computer has also been developed to use the series distance measurements to construct a complete profile of the measured structure as well as to estimate the crosssectional area of the profile. The system can provide critical information for the construction industry and a variety of other commercial applications. The evaluation and analysis of measurement indicated that on accuracy within 4 per cent, for typical window designs and floor patterns, could be achieved. Recommendations for improvement of the system have also been included.

The purpose of this study is to provide a full understanding of library use patterns in their full temporal and spatial environment. By analyzing individuals' daily travel activity, this study seeks to measure the travel distance and travel time of library users in multi‐destination trip settings.

The data set for analysis was collected from the Metropolitan Travel Survey Archive, which stores 79 household daily travel data sets. Daily activities of 409 people who visited public libraries were extracted from the Puget Sound Region data set.

Through the analysis, four library access patterns were identified: single‐destination, en route, base camp, and trip‐chaining trips. Only 20 percent of library users made single‐destination trips, while 80 percent of users made trips of a multi‐destination nature; these are depicted by the latter three listed patterns. In particular, 62.2 percent of the activities fell into the trip‐chaining travel pattern. Such a pattern is defined as “discretionary activities which include a library visit.” Findings indicate that although travel distance is still a constraint to library access, travel time is a more informative factor than travel distance for gaining a richer understanding of the nature of library visits.

This study develops new measurements of travel distance and time, D_library and T_library respectively, enabling more accurate measures of travel distance and time, and further supporting precise measurements of the portions of multi‐destination trips most relevant to library visits.

The Federal Motor Vehicle Safety Standards No. 208 includes directives rendering the morphological estimation of passengers mandatory for advanced air bag systems. The dynamic automatic suppression system uses both the morphological and positional information about the passenger to allow or prevent air bag deployment. Various solutions have been proposed to obtain these information by using capacitive sensors. This paper presents a method, that makes possible use of such sensors in the car industry by correcting their responses from these perturbing parameters.

The purpose of this chapter is to make sense of the cultural distance paradox through a basic assessment of the cross-cultural comparability of cultural distance measures. Cultural distance between a base country and partner countries is a key construct in international business (IB). However, we propose that what exactly is measured by cultural distance is unique for each country that is chosen as the base country to/from which cultural distance to a set of partner countries is calculated.

We use a mathematical argument to establish that cultural distance may correlate rather differently with the culture of partner countries depending on which base country one considers, for example, the United States or China. We then use empirical analysis to show the relevance of this argument, using Hofstede’s data on national culture for 69 countries.

Results show that cultural distance indeed has very different correlations with partner country culture, depending on which country one selects as the base country in one’s distance calculations.

Implication of our findings is that measured cultural distance is not equivalent across different base countries. The effect of cultural distance on such issues as foreign market entry mode or market selection, therefore, lacks international generalizability.

This chapter presents the first assessment of the cross-cultural comparability of cultural distance. Paradoxical findings that plague extant cultural distance research may be understood from the found lack of measurement equivalence.