Towards a modular robotics standard for AGV design and programming

Across the world there are many bodies currently involved in researching into the design of autonomous guided vehicles (AGVs). One of the greatest problems at present however, is that much of the research work is being conducted in isolated groups, with the resulting AGVs sensor/control/command systems being almost completely nontransferable to other AGV designs. This paper describes a new modular method for robot design which when applied to AGVs overcomes the above problems. The method is explained here with respect to all forms of robotics but the examples have been specifically chosen to reflect typical AGV systems.

The cloud chamber and CTR Wilson’s legacy to atmospheric science

2011 is the centenary year of the short paper (Wilson,1911) first describing the cloud chamber, the device for visualising high-energy charged particles which earned the Scottish physicist Charles Thomas Rees (‘CTR’) Wilson the 1927 Nobel Prize for physics. His many achievements in atmospheric science, some of which have current relevance, are briefly reviewed here. CTR Wilson’s lifetime of scientific research work was principally in atmospheric electricity at the Cavendish Laboratory, Cambridge; he was Reader in Electrical Meteorology from 1918 and Jacksonian Professor from 1925 to 1935. However, he is immortalised in physics for his invention of the cloud chamber, because of its great significance as an early visualisation tool for particles such as cosmic rays1 (Galison, 1997). Sir Lawrence Bragg summarised its importance:

Developing a brand performance measure for financial services brands

With no universal approach for measuring brand performance, we show how a consumer-based brand measure was developed for corporate financial services brands. Churchill's paradigm was adopted. A literature review and 20 depth interviews with experts suggested that brand loyalty, consumer satisfaction and reputation constitute the brand performance measure. Ten financial services organisations provided access to their consumers. Following a postal survey, 600 questionnaires were analysed through principal components analysis to identify the consumer-based measure. Further testing revealed this to be a valid and reliable brand performance measure.

Reduction of vestigial sideband effects due to multipath transmission in terrestrial broadcast television

In terrestrial television transmission multiple paths of various lengths can occur between the transmitter and the receiver. Such paths occur because of reflections from objects outside the direct transmission path. The multipath signals arriving at the receiver are all detected along with the intended signal causing time displaced replicas called 'ghosts' to appear on the television picture. With an increasing number of people living within built up areas, ghosting is becoming commonplace and therefore deghosting is becoming increasingly important. This thesis uses a deterministic time domain approach to deghosting, resulting in a simple solution to the problem of removing ghosts. A new video detector is presented which reduces the synchronous detector local oscillator phase error, caused by any practical size of ghost, to a lower level than has ever previously been achieved. From the new detector, dispersion of the video signal is minimised and a known closed-form time domain description of the individual ghost components within the detected video is subsequently obtained. Developed from mathematical descriptions of the detected video, a new specific deghoster filter structure is presented which is capable of removing both inphase (I) and also the phase quadrature (Q) induced ghost signals derived from the VSB operation. The new deghoster filter requires much less hardware than any previous deghoster which is capable of removing both I and Q ghost components. A new channel identification algorithm was also required and written which is based upon simple correlation techniques to find the delay and complex amplitude characteristics of individual ghosts. The result of the channel identification is then passed to the new I and Q deghoster filter for ghost cancellation. Generated from the research work performed for this thesis, five papers have been published. D

Investigation of institutional investors’ responsible investment practices in UK

The focus of Corporate Governance is shifting from the role of directors to active ownership. Based on their fiduciary duty to other shareholders, it is believed that institutional investors have an important role to play in this regard. However, the Pension Funds and the Sovereign Wealth Organisations are not driven by the same set of objectives. In addition, Environmental Social and Governance (ESG) issues in investment decision-making are now becoming more important and they are capable of becoming the mainstream in the future. However, there are widespread variations in perception of fiduciary responsibilities, ESG issues appraisal, as well as the strategies adopted by institutional investors on shareholder engagement as responsible investors. Responsible Investment market is largely driven by institutional investors and they are expected to continue to lead the way. This research work investigates the role of the main asset owners and their advisors in responsible investment practices in the UK. It adopts a qualitative approach using semi-structured interviews, questionnaire and meetings observations. Gathered data is analysed using grounded theory and the findings highlight the perception of the various investor groups to corporate governance. The research work contributes to the body of knowledge by assessing the corporate governance perspectives of the various classes of institutional investors which may have practical implications for other countries.

Do personality traits predict ‘complaining’ consumers?

Although the effects of personality traits on complaining behaviour emerged in the early 1980s, there is limited research in the service industry. The purpose of this study is to examine whether consumer personality traits influence intentions to complain and whether product price and product types moderate the relationship between personality traits and intentions to complain in the retail industry. The research model is tested by logistic regression analysis on two groups of consumers who report passive and active complaining intentions. The study reveals that conscientious consumers who are open to new experiences tend to have higher intentions to complain. Being extroverted does not have any influence on complaining behaviour. Whilst price levels (low/high) and product types (grocery, clothing and electronics) improve the predictive ability of the complaining behaviour, the interaction effects relating to the three personality traits are statistically insignificant. Theoretical and managerial implications of the study findings are discussed.

Digital visualisation in Classics teaching and beyond

For the last few years, I have been working on an extensive digital model of ancient Rome as it appeared in the early 4th Century AD. This sort of visualisation lends itself to many applications in diverse fields: I am currently using it for research work into illumination and sightlines in the ancient city, have licensed it for broadcast in TV documentaries and publication in magazines, and am working with a computer games studio to turn it into an online game where players will be able to walk round the streets and buildings of the entire city (when not engaged in trading with or assassinating one another). Later this year I will be making a free online course, or MOOC, about the architecture of ancient Rome, which will largely be illustrated by this model.

Road Sign Recognition based onInvariant Features using SupportVector Machine

Since last two decades researches have been working on developing systems that can assistsdrivers in the best way possible and make driving safe. Computer vision has played a crucialpart in design of these systems. With the introduction of vision techniques variousautonomous and robust real-time traffic automation systems have been designed such asTraffic monitoring, Traffic related parameter estimation and intelligent vehicles. Among theseautomatic detection and recognition of road signs has became an interesting research topic.The system can assist drivers about signs they don’t recognize before passing them.Aim of this research project is to present an Intelligent Road Sign Recognition System basedon state-of-the-art technique, the Support Vector Machine. The project is an extension to thework done at ITS research Platform at Dalarna University [25]. Focus of this research work ison the recognition of road signs under analysis. When classifying an image its location, sizeand orientation in the image plane are its irrelevant features and one way to get rid of thisambiguity is to extract those features which are invariant under the above mentionedtransformation. These invariant features are then used in Support Vector Machine forclassification. Support Vector Machine is a supervised learning machine that solves problemin higher dimension with the help of Kernel functions and is best know for classificationproblems.

ANFIS BASED MODELS FOR ACCESSING QUALITY OF WIKIPEDIA ARTICLES

Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Due to the free nature of Wikipedia and allowing open access to everyone to edit articles the quality of articles may be affected. As all people don’t have equal level of knowledge and also different people have different opinions about a topic so there may be difference between the contributions made by different authors. To overcome this situation it is very important to classify the articles so that the articles of good quality can be separated from the poor quality articles and should be removed from the database. The aim of this study is to classify the articles of Wikipedia into two classes class 0 (poor quality) and class 1(good quality) using the Adaptive Neuro Fuzzy Inference System (ANFIS) and data mining techniques. Two ANFIS are built using the Fuzzy Logic Toolbox [1] available in Matlab. The first ANFIS is based on the rules obtained from J48 classifier in WEKA while the other one was built by using the expert’s knowledge. The data used for this research work contains 226 article’s records taken from the German version of Wikipedia. The dataset consists of 19 inputs and one output. The data was preprocessed to remove any similar attributes. The input variables are related to the editors, contributors, length of articles and the lifecycle of articles. In the end analysis of different methods implemented in this research is made to analyze the performance of each classification method used.

Intellectual Property Protection : an External Factor that Influences a Foreign Company’s Market Entry Mode into a Prospective Market

Intellectual Property Protection is been understood in this paper as IP laws and enforcement of these laws in order to protect intellectual property rights. The goal of this research work is to understand how Swedish companies view issues regarding to Intellectual Property Protection (IPP) and how it influences a foreign company?s market entry mode. In order to achieve this objective, the Nigerian market situation and its? laws that govern IPP will be used to analyzed this issue. This paper argues that IPP is an important factor that influences a company?s entry mode and this argument finds IP laws and enforcement as two variables that influence the market while the market situation influences the foreign company. In carrying out this research literature was reviewed and interviews carried out. The research methodology section has presented a qualitative research and explains the nature of the interview stages that have been used to achieve the goals concerning the findings of the empirical data. A qualitative method was adopted by carrying out in-depth semi-structured interviews. The empirical data collected from the investigation were gathered and analyzed based on the research questions. The findings show that IPP of a host market influences a potential foreign company through the market situation that is also influenced by IP laws and enforcement. The outcome of these findings argues that the Swedish companies that were interviewed in this research will enter the Nigerian market through an intermediary mode. This has been based on the current IPP system of Nigerian.

Bini Customary law of inheritence : a shift in Igiogbe as a case study

Igiogbe cultural heritage has existed since the founding of Bini kingdom without any controversy; however since the Supreme Court decision in Idehen v Idehen the issue of Igiogbe has assumed new dimensions. Igiogbe - the house in which a Benin man lived and died devolves on his first son absolutely; but since the beginning of 20th century litigation as to the real meaning of Igiogbe and who is entitled to inheritance thereof began to increase. Controversies and increase in litigation over Igiogbe has occasioned a shift in the practice, the Bini’s are not conscious of some of these changes, most of them (Bini’s) still claim Igiogbe practices is rigidly adhered to. This study on Igiogbe inheritance in Bini kingdom is therefore carried out with a view to bringing out the changes in Igiogbe cultural practice using legal and anthropological tools to examine the changes. While laying the foundation for the discussion on the main research object the researcher examined the origin and status of customary law in Nigeria. There after I examined Igiogbe inheritance in Bini kingdom. Igiogbe and the issue of first son were critically analyzed with the aid of the research questions bringing out the changes in Igiogbe concept from traditional practice to modern practice. Study shows Igiogbe practice is still relevant in modern Bini kingdom, however, the shift and changes in practice of this cultural milieu has lead me to ask some fundamental questions which I intend to answer in the broader research work in future.

Automating the product derivation process of multi-agent systems product lines

Agent-oriented software engineering and software product lines are two promising software engineering techniques. Recent research work has been exploring their integration, namely multi-agent systems product lines (MAS-PLs), to promote reuse and variability management in the context of complex software systems. However, current product derivation approaches do not provide specific mechanisms to deal with MAS-PLs. This is essential because they typically encompass several concerns (e.g., trust, coordination, transaction, state persistence) that are constructed on the basis of heterogeneous technologies (e.g., object-oriented frameworks and platforms). In this paper, we propose the use of multi-level models to support the configuration knowledge specification and automatic product derivation of MAS-PLs. Our approach provides an agent-specific architecture model that uses abstractions and instantiation rules that are relevant to this application domain. In order to evaluate the feasibility and effectiveness of the proposed approach, we have implemented it as an extension of an existing product derivation tool, called GenArch. The approach has also been evaluated through the automatic instantiation of two MAS-PLs, demonstrating its potential and benefits to product derivation and configuration knowledge specification.

Técnica de programação e controle da construção repetitiva, linha de balanço, estudo de caso de um conjunto habitacional

Este trabalho apresenta uma técnica de programação e controle da construção repetitiva denominada Linha de Balanço. E uma técnica, surgida na indústria fabril, onde a produção em série e em grande escala exige a organização dos métodos de produção e a racionalização do trabalho. O estudo, inicialmente, modela o trabalho de construção de unidades repetitivas, salientando os problemas de organização e administração destes empreendimentos. Num segundo momento, são apresentados os princípios teóricos da técnica com aplicações práticas da programação. Por fim, é analisada a metodologia usual de construção de conjuntos habitacionais através de um estudo de caso e, observadas as condições de aplicação da técnica da Linha de Balanço, não exigindo mudificações muito profundas na atual ação gerencial neste tipo de obra. As conclusões esboçadas confirmam as vantagens da técnica da Linha de Balanço para estes empreendimentos e propõem a sua utilização na organização do trabalho nos canteiros repetitivos.

A segurança do trabalho na indústria da construção civil

Identificando a segurança do trabalho como um fator de produtividade, a presente pesquisa analisa a situação da segurança do trabalho na Indústria da Construção civil no Rio Grande do Sul, mais especificamente na Região da Grande Porto Alegre, baseando-se em levantamento das condições de funcionamento dos Serviços Especializados em Segurança e Medicina do Trabalho de 14 empresas da região e na análise de 3.450 acidentes ocorridos nos anos de 1981, 1982 e 1º trimestre de 1983. O levantamento dos 3,450 acidentes, além de propiciar uma análise de custo do tempo de afastamento do acidentado, objetivou o conhecimento de variáveis que exercem influência na ocorrência de acidentes: a profissão, dia da semana, hora e etapa da obra (com quem, quando e onde ocorrem acidentes em um canteiro de obras). A partir desse estudo, sgo sugeridas medidas para a i-m plementação dos serviqos de segurança das empresas.