This paper investigates the general problem of resource allocation for mitigating channel fading effects in Free Space Optical (FSO) communications. The is modeled as constrained stochastic optimization framework, which covers a variety FSO scenarios involving power adaptation, relay selection and their joint allocation. Under this we propose two algorithms that solve problems. We first present...

The NASA objective of expanding the human experience into the far reaches of space will require the development of regenerable life support systems. A key element of these systems is a means for solid waste resource recovery. The objective of this work was to demonstrate the feasibility of pyrolysis processing as a method for the conversion of solid waste materials in a Controlled Ecological Li...

The development of World Wide Web requires a semantic data model to effectively manage the contents of its heterogeneous resources. This challenges traditional data models, which are mainly for managing structured resources or relatively simple data objects. Classification is one of the most basic methods to organize and manage resources in the real world. The Resource Space Model RSM is a sema...

The Resource Space Model (RSM) is a semantic data model based on orthogonal classification semantics for effectively managing various resources in interconnection environment. In parallel with the integrity theories of relational and XML-based data models, this keynote presents the integrity theory for the RSM, including the entity integrity constraints based on the key system of the RSM, the m...

Resource Space Model (RSM) is a semantic model to manage and share heterogeneous resources on the Internet. This paper focuses on the general architecture, physical implementation and application of RSM. The RSM system adopts Client/Server mode for users to utilize resource spaces through the Internet. The resource spaces are designed based on domain knowledge and stored as XML files in the ser...

We consider the problem of optimal planning in stochastic domains with resource constraints, where the resources are continuous and the choice of action at each step depends on resource availability. We introduce the HAO* algorithm, a generalization of the AO* algorithm that performs search in a hybrid state space that is modeled using both discrete and continuous state variables, where the con...

A resource space model (RSM) is a model for specifying, sharing and managing versatile Web resources with a universal resource view. A normal resource space is a semantic coordinate system with independent coordinates and mutual-orthogonal axes. This paper first introduces the main viewpoint and basic content of the RSM, and then proposes a four-step method for designing the logical-level resou...

The effective reasoning capability of an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge base. In this paper we show how to determine the effective reasoning capability of an agent with limited memory by encoding the agent as a transition system and automatically verifying whether a state where the agent ...

We study on-line bounded space bin-packing in the resource augmentation model of competitive analysis. In this model, the on-line bounded space packing algorithm has to pack a list L of items with sizes in (0, 1], into a minimum number of bins of size b, b ≥ 1. A bounded space algorithm has the property that it only has a constant number of active bins available to accept items at any point dur...

Based on longitudinal ethnographic fieldwork in two industrial design departments and two design companies, we explore the role of spatial arrangements for supporting creative design practices within different design studios. From our results, we show that designers explicitly make use of the physical space for 1) communicating and inspiring design ideas, 2) exploring design solutions and 3) ma...