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Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

There have been several books written on how the great companies became great. Jim Collins, in his book Good to Great, adds a new twist when he attempts to find out if a company can go from being just good to great, and if so, how. Collins compared eleven companies that were able to make the leap from good to great to those that could not and found six distinguishing characteristics that set them apart: Level 5 leaders, first who...then what, confronting the brutal facts, the Hedgehog Concept, creating a culture of discipline, and finally using technology as an accelerator. ECCU is a good company that is striving to become great. While the results need to be tested over time ECCU is an example of a company who has consciously applied the techniques and seen the expected success. Many of the good to great principles can be applied to ones personal life as well as to corporate life.

Assesses the effects of the Asian economic crisis on Taiwan and identifies some reasons why it has been less dramatically affected than other Asian countries. Discusses its actual and planned policies aimed at strengthening the economy further by maintaining currency stability, improving competitive strengths in both hi‐tech industries and manufacturing, entering new export markets, stimulating domestic demand and reforming financial institutions and regulations. Recognizes the political threats it faces but believes that increasing trade with and investment in China has reduced them.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

This study aims to empirically investigate whether the adoption of fair‐value‐accounting decreases the relevance of banks' capital adequacy ratios (CARs) in explaining insolvency risks. Additionally, how the disclosure quality affects the superiority of fair‐value‐based CARs over cost‐based CARs is also explored.

Using data from Taiwan banks from 2004 to 2010, the following tests are conducted. First, the insolvency risk is regressed on the reported CAR, along with the related interaction with the adoption of TFAS No. 34 to test the weakened relevance of CARs during the post‐TFAS No. 34 periods. Second, the relative relevance of fair‐value‐based CARs and cost‐based CARs is assessed using Vuong's Z‐statistic. Lastly, observations are partitioned into two groups – banks of higher and lower disclosure quality – to investigate whether fair‐value‐based CARs is superior (inferior) to cost‐based CARs for banks with higher (lower) disclosure quality.

First, adopting TFAS No. 34 reduces the relevance of CARs in explaining banks' insolvency risks. Second, fair‐value‐based CARs are superior to cost‐based ones in relation to insolvency risks only for banks of higher disclosure quality.

This study is the first to fill the empirical gap by demonstrating that the ability of CARs to explain the insolvency risk is adversely influenced by the adoption of fair value accounting. In particular, the results shed some light on the move toward fair‐value accounting, and may be interpreted that adopting fair‐value reporting is not flawless, drawing attention to the potential information loss in abandoning historical‐cost‐based regimes. Moreover, because the application of fair‐value accounting in the Taiwan banking industry is fairly similar to that of international or US GAAP, these results also yield insights into other standard‐setters.

Discusses arbitrage pricing theory as a multifactor model for explaining rates of return on securities; and the use of principal components analysis to reduce the number of variables studies. Applies these ideas to returns on treasury bills and government bonds for 1,000 business days ending in March 1997 to obtain a set of three endogenous factors for the term structure of interest rates, forecasts returns for one‐day and 30‐day horizons and produces a time series of the forecast errors for eight short‐term interest rates. Compares the results with those from a single factor autoregessive forecasting model and finds that although their accuracy is similar for short horizons, the multifactor model is superior for longer horizons and shorter time to maturity.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

Presents a special issue, enlisting the help of the author’s students and colleagues, focusing on age, sex, colour and disability discrimination in America. Breaks the evidence down into manageable chunks, covering: age discrimination in the workplace; discrimination against African‐Americans; sex discrimination in the workplace; same sex sexual harassment; how to investigate and prove disability discrimination; sexual harassment in the military; when the main US job‐discrimination law applies to small companies; how to investigate and prove racial discrimination; developments concerning race discrimination in the workplace; developments concerning the Equal Pay Act; developments concerning discrimination against workers with HIV or AIDS; developments concerning discrimination based on refusal of family care leave; developments concerning discrimination against gay or lesbian employees; developments concerning discrimination based on colour; how to investigate and prove discrimination concerning based on colour; developments concerning the Equal Pay Act; using statistics in employment discrimination cases; race discrimination in the workplace; developments concerning gender discrimination in the workplace; discrimination in Japanese organizations in America; discrimination in the entertainment industry; discrimination in the utility industry; understanding and effectively managing national origin discrimination; how to investigate and prove hiring discrimination based on colour; and, finally, how to investigate sexual harassment in the workplace.