150 resultados para Joint Configuration


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This submission addresses the following terms of reference: 1) the nature, prevalence and level of cybersafety risks and threats experienced by senior Australians; 2) the impact and implications of those risks and threats on access and use of information and communication technologies by senior Australians; 3) the adequacy and effectiveness of current government and industry initiatives to respond to those threats, including education initiatives aimed at senior Australians; 4) best practice safeguards, and any possible changes to Australian law, policy or practice that will strengthen the cybersafety of senior Australians.

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Following on from the 2nd edition published in 2005, this new edition updates its predecessor and adds considerable new material as a result of changes in the law generally and commercial approaches to financing joint ventures in particular. Of special note, Financing of Joint Ventures has been completely re-written with considerable additions to take account of the new legislative regimes such as the Personal Property Securities. The impact of climate change legislation has been covered, specifically carbon pricing with additional material on structuring generally and particularly in relation to large joint ventures with governments through Public Private Partnerships. A new Chapter has been added called Resources Joint Ventures and undertakes a thorough analysis of a typical resources joint venture and is heavily cross referenced into the chapter on Default which has also been updated. In addition, International Joint Ventures now includes additional material on structuring and dispute resolution and Joint Ventures and the Competition and Consumer Act has been substantially re-written to take account of 2009 legislative amendments on cartel conduct, and the impact of changes wrought by the Competition and Consumer Act 2010. All other chapters and material has been updated to accommodate other legislative changes and new case law over the seven years since the last edition.

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This chapter is devoted to the issue of non-fiduciary common law obligations of good faith, as they may arise in the performance and enforcement of joint ventures. In recent times a rush of commercial contractual claims involving good faith has signified the need for a separate chapter examining this issue. Although most of these decisions have arisen in commercial contexts other than joint ventures, the decisions, nevertheless, warrant careful consideration to the extent that they cast light on the likely contours of the common law good faith obligation as it may apply in the joint venture context.

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The purpose of this chapter is to analyse the way in which joint venture agreements can fall within the competition provisions of the Competition and Consumer Act 2010, and the circumstances in which authorisation may be available for joint venture collaborations.

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Following upon the success of the 2nd edition published in 2005, this new edition not only updates its predecessor but also adds considerable new material in consequences of changes in the law generally and commercial approaches to financing joint ventures in particular. Of special note are the following: Financing of Joint Ventures has been completely re-written with considerable additions to take account of the new legislative regimes such as the Personal Property Securities, the impact of climate change legislation, specifically carbon pricing with additional material on structuring generally and particularly in relation to large joint ventures with governments through Public Private Partnerships. A new Chapter called Resources Joint Ventures undertakes a thorough analysis of a typical resources joint venture and is heavily cross referenced into the chapter on Default which has also been updated. International Joint Ventures now includes additional material on structuring and dispute resolution. Joint Ventures and the Competition and Consumer Act has been substantially re-written to take account of 2009 legislative amendments on cartel conduct, and the impact of changes wrought by the Competition and Consumer Act 2010. All other chapters and material has been updated to accommodate other legislative changes and new case law over the seven years since the last edition.

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At common law, a corporation may be liable vicariously for the conduct of its appointed agents, employees or directors. This generally requires the agent or employee to be acting in the course of his or her agency or employment and, in the case of representations, to have actual or implied authority to make the representations. The circumstances in which a corporation may be liable for the conduct of its agents, employees or directors is broadened under the Australian Consumer Law (ACL) to where one of these parties engages in conduct “on behalf of” the corporation. As the decision in Bennett v Elysium Noosa Pty Ltd (in liq) demonstrates, this may extend to liability for the misleading conduct of a salesperson for the joint venture to parties who are not formal members of the joint venture, but where the joint venture activities are within the course of the entity’s “business, affairs or activities”.

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The decision of Lockrey v Historic Houses Trust of New South Wales [2012] NSWSC 654 raises an interesting issue about the necessity of seeking the consent of the lessor where there is an assignment of a lease between joint tenants who already hold the lease when one joint tenant sells the business operated on the leased premises to the other joint tenant. A secondary issue raised by the proceedings concerns whether the lessor’s consent was unreasonably withheld under the processes under Retail Leases Act 1994 (NSW) (“the Act”) upon the grounds of lack of provision of information as to the remaining lessee’s financial standing.

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This paper proposes an efficient and online learning control system that uses the successful Model Predictive Control (MPC) method in a model based locally weighted learning framework. The new approach named Locally Weighted Learning Model Predictive Control (LWL-MPC) has been proposed as a solution to learn to control complex and nonlinear Elastic Joint Robots (EJR). Elastic Joint Robots are generally difficult to learn to control due to their elastic properties preventing standard model learning techniques from being used, such as learning computed torque control. This paper demonstrates the capability of LWL-MPC to perform online and incremental learning while controlling the joint positions of a real three Degree of Freedom (DoF) EJR. An experiment on a real EJR is presented and LWL-MPC is shown to successfully learn to control the system to follow two different figure of eight trajectories.

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Modern mobile computing devices are versatile, but bring the burden of constant settings adjustment according to the current conditions of the environment. While until today, this task has to be accomplished by the human user, the variety of sensors usually deployed in such a handset provides enough data for autonomous self-configuration by a learning, adaptive system. However, this data is not fully available at certain points in time, or can contain false values. Handling potentially incomplete sensor data to detect context changes without a semantic layer represents a scientific challenge which we address with our approach. A novel machine learning technique is presented - the Missing-Values-SOM - which solves this problem by predicting setting adjustments based on context information. Our method is centered around a self-organizing map, extending it to provide a means of handling missing values. We demonstrate the performance of our approach on mobile context snapshots, as well as on classical machine learning datasets.

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This chapter outlines the most important ways in which intellectual property is protected in Australia, and also the factors which affect the rights of joint venture participants in the absence of specific agreement between such participants. It then examines particular issues which may be considered in preparing appropriate documentation for any joint venture which involves the utilisation or generation of intellectual property to ensure that the joint venture participants achieve their desired result in terms of the allocation of ownership and control of such rights. The analysis includes and explanation of the special considerations which affect co-operation in research between industry and a university or government research institution. Finally, the rights of the joint venturers to intellectual property upon termination of the joint ventures are considered.

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The decision in ACN 070 037 599 Pty Ltd v Larvik Pty Ltd (No 2) [2008] QSC 118 involved a consideration of the implications for a plaintiff whose offer to settle under Part 5 of the Uniform Civil Procedure Rules 1999 (Qld) was made jointly with another plaintiff who abandoned her action before trial. The court found nothing wrong with the making of a joint offer. It concluded the successful plaintiff would be entitled to indemnity costs on the simple test of whether the judgment for that plaintiff was more favourable than the offer.

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Enterprise Systems (ES) can be understood as the de facto standard for holistic operational and managerial support within an organization. Most commonly ES are offered as commercial off-the-shelf packages, requiring customization in the user organization. This process is a complex and resource-intensive task, which often prevents small and midsize enterprises (SME) from undertaking configuration projects. Especially in the SME market independent software vendors provide pre-configured ES for a small customer base. The problem of ES configuration is shifted from the customer to the vendor, but remains critical. We argue that the yet unexplored link between process configuration and business document configuration must be closer examined as both types of configuration are closely tied to one another.

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The common presupposition of Enterprise Systems (ES) is that they lead to significant efficiency gains. However, this is only the case for well-implemented ES that meet organisational requirements. The list of major ES implementation failures is as long as the list of success stories. We argue here that this arises from a more fundamental problem, the functionalist approach to ES development and provision. As long as vendors will continue to develop generic, difficult-to-adapt ES packages, this problem will prevail because organisations have a non-generic character. A solution to this problem can only consist in rethinking the way ES packages are provided. We propose a strict abstraction layer of ES functionalities and their representation as conceptual models. ES vendors must provide sufficient means for configuring these conceptual models. We discuss in this paper what generic situations can occur during process model configuration in order to understand process model configuration in depth.

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The configuration of comprehensive Enterprise Systems to meet the specific requirements of an organisation up to today is consuming significant resources. The results of failing implementation projects are severe and may even threaten the organisation’s existence. This paper proposes a method which aims at increasing the efficiency of Enterprise Systems implementations. First, we argue that existing process modelling languages that feature different degrees of abstraction for different user groups exist and are used for different purposes which makes it necessary to integrate them. We describe how to do this using the meta models of the involved languages. Second, we motivate that an integrated process model based on the integrated meta model needs to be configurable and elaborate on the mechanisms by which this model configuration can be achieved. We introduce a business example using SAP modelling techniques to illustrate the proposed method.