Mapping Climate Justice

A three-dimensional climate justice approach introduces to share the benefits and burden of climate change in an economically efficient, legally equitable, and practically feasible way around the globe. Climate justice within a country pays tribute to low- and high-income households carrying the same burden proportional to their dispensable income through consumption tax, progressive carbon taxation, and a corporate inheritance tax. Climate change burden sharing between countries ensures those countries benefiting more from a warmer environment bear higher responsibility regarding climate change mitigation and adaptation. Climate justice over time is proposed by an innovative bonds climate change burden sharing strategy.

Watermarking Images via Counting-Based Secret Sharing for Lightweight Semi-Complete Authentication

Watermarking is the process of embedding specific data to prove ownership copyright authentication. It is needed whenever media-files are used without proper permission is granted. The current watermarking challenge comes from the ownership proof especially as slight tampering occurs on the multimedia-file which injure the watermarking causing difficulty in its copyright proof. This paper proposes utilizing counting-based secret sharing strategy to allow validation of ownership RGB watermarking even if some of the image-file is interfered. We validate image watermarking partially as lightweight semi-complete verification, which is not possible in the normal random-stream watermarking schemes. Although the work is still in its early stage, it is promising research showing real attractive contribution opportunities. The work is tested and compared to other strategies in aspects of robustness, capacity, and security, providing attractive remarks worth noting. The study evaluation results showed interesting contribution believed to be pioneering.

CAPACITY SHARING STRATEGY WITH SUSTAINABLE REVENUE-SHARING CONTRACTS

This paper develops a duopoly model to analyse capacity sharing strategy and the optimal revenue-sharing contract under a two-part tariff and examines the effects of capacity sharing, cost, and sharing charges in three scenarios. The paper uses the two-part tariff method and adds a more realistic assumption of incremental marginal costs to improve the research on capacity sharing strategies. The results show that capacity constraints affect the sustainable development of firms. A sustainable revenue-sharing contract can create a win-win situation for both firms and promote capacity sharing. Capacity sharing, cost, and the revenue-sharing rate have different impacts in different scenarios; the optimal revenue-sharing rate and fixed fee can be determined to maximise the profits of firms that share capacity. However, capacity sharing may not improve social welfare.

Developing a Conceptual Model for Strategic Knowledge Sharing of Facilities Management Protocol (FMP)

The aim of this paper is to identify a key dimension of knowledge sharing strategy to improve Facilities Management Process of Protocol (FMP) in achieving facilities management organization performance. It investigates the key dimension of facilities management protocol strategy that can be adopted by the Facilities Management organizations and examines the problem related to IBS during the operational stages of maintenance management. An analysis of previous research provides an insight of the relationship between the IBS attribute and Facilities Management Protocol (FMP) component that can proposed a significant variable to improve the FM performance to solve problem related maintenance for IBS building. The review shows that a factor related to FM Protocol such as ‘operate and optimize facility’, ‘monitor and record facility condition’, ‘implement schedule maintenance work’, ‘manage inventory and spare part’, and ‘supervised vendor work’ was identified as a key dimension for FMP strategy to improve FM performance. Meanwhile a factor such as ‘diagnosing tools and assessment’, ‘systematic procurement procedure’, ‘complementary IBS input and information document’ and ‘handing over document’ was classified as a key factor to improve FM performance through adopting knowledge sharing strategy. This paper suggests that through improvement of each factor, the recognition of the whole strategic approach process in FMP can be increase thus helping to strengthen the facilities management organization for competitive advantages.

A Reputation Value-Based Task-Sharing Strategy in Opportunistic Complex Social Networks

As the Internet of Things (IoT) smart mobile devices explode in complex opportunistic social networks, the amount of data in complex networks is increasing. Large amounts of data cause high latency, high energy consumption, and low-reliability issues when dealing with computationally intensive and latency-sensitive emerging mobile applications. Therefore, we propose a task-sharing strategy that comprehensively considers delay, energy consumption, and terminal reputation value (DERV) for this context. The model consists of a task-sharing decision model that integrates latency and energy consumption, and a reputation value-based model for the allocation of the computational resource game. The two submodels apply an improved particle swarm algorithm and a Lagrange multiplier, respectively. Mobile nodes in the complex social network are given the opportunity to make decisions so that they can choose to share computationally intensive, latency-sensitive computing tasks to base stations with greater computing power in the same network. At the same time, to prevent malicious competition from end nodes, the base station decides the allocation of computing resources based on a database of reputation values provided by a trusted authority. The simulation results show that the proposed strategy can meet the service requirements of low delay, low power consumption, and high reliability for emerging intelligent applications. It effectively realizes the overall optimized allocation of computation sharing resources and promotes the stable transmission of massive data in complex networks.