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Full-Text Articles in Engineering

Us Patent 9,702,573: Nested Heat Transfer System, Sanza Kazadi Jul 2017

Us Patent 9,702,573: Nested Heat Transfer System, Sanza Kazadi

Sanza Kazadi

A novel nested heat transfer system comprises a plurality of chained enhanced entrochemical cells with nested structures. Each enhanced entrochemical cell includes a first chamber containing desiccant, or a higher concentration solution, and a second chamber containing refrigerant,   or   a   lower   concentration   solution.   Preferably,   the   first   chamber   and   the   second   chamber   are   connected   by   a   conduit.  Furthermore,   a   smaller   chamber   in   an   enhanced   entrochemical   cell   is   encapsulated   by   a   larger   chamber   in   an   adjacent   enhanced entrochemical cell, thus forming a nested structure between the two enhanced entrochemical cells. A chain of enhanced entrochemical cells with a plurality of such nested …


Us Patent 9,702,633: Entrochemical Energy Transfer System And A Process For Obtaining Work From Environmental Thermal Energy, Sanza Kazadi Jul 2017

Us Patent 9,702,633: Entrochemical Energy Transfer System And A Process For Obtaining Work From Environmental Thermal Energy, Sanza Kazadi

Sanza Kazadi

An entrochemical energy transfer system and a related process for obtaining work from environmental thermal energy are disclosed. In one   example,   a   plurality   of   linked   entrochemical   cells   with   nested   chambers   provides   an   aggregate   thermal   gradient   of   each entrochemical   cell   by   transferring   environmental   thermal   energy   in   and/or   out   of   the   plurality   of   linked   entrochemical   cells.   The aggregate thermal gradient generated from the plurality of linked entrochemical cells can be utilized as an environmentally­ friendly energy source for human needs. The entrochemical energy transfer system and the related process for obtaining work from environmental thermal energy utilize a set of entropy transfers …


Decision-Making Swarms, Sanza Kazadi, George Jeno, Xinyu Guan, Nick Nusgart, Andriy Sheptunov Apr 2017

Decision-Making Swarms, Sanza Kazadi, George Jeno, Xinyu Guan, Nick Nusgart, Andriy Sheptunov

Sanza Kazadi

While swarms that execute decisions are well known in the swarm community, swarms that exhibit this capability a priori have never before been achieved. We demonstrate a methodology, based on the Hamiltonian method of swarm design, that enables the design and implementation of swarms that exhibit decision-making capability. We develop the theoretical structure of the method and apply it to the development of an ant algorithm and a swarm capable of deciding whether its density exceeds a specific predetermined value. The swarm designs are validated in simulation.


Generating Swarm Solution Classes Using The Hamiltonian Method Of Swarm Design, M. Li, C. Qiu, J. Park, D. Chan, J. Na, C. Wong, B. Zhao, E. Chang, Sanza Kazadi, S. Hettiarachchi Mar 2017

Generating Swarm Solution Classes Using The Hamiltonian Method Of Swarm Design, M. Li, C. Qiu, J. Park, D. Chan, J. Na, C. Wong, B. Zhao, E. Chang, Sanza Kazadi, S. Hettiarachchi

Sanza Kazadi

We utilize a swarm design methodology that enables us to develop classes of swarm solutions to specific specifications. The method utilizes metrics devised to evaluate the swarm’s progress – the global variables – along with the set of available technologies in order to answer varied questions surrounding a swarm design for the task. These questions include the question of whether or not a swarm is necessary for a given task. The Jacobian matrix, here identified as the technology matrix, is created from the global variables. This matrix may be interpreted in a way that allows the identification of classes of …


Swarm Engineering, S. Kazadi '90 Mar 2017

Swarm Engineering, S. Kazadi '90

Sanza Kazadi

Swarm engineering is the natural evolution of the use of swarm-based techniques in the accomplishment of high level tasks using a number of simple robots. In this approach, one seeks not to generate a class of behaviors designed to accomplish a given global goal, as is the approach typically found in mainstream robotics. Once the class of behaviors has been understood and decided upon, specific behaviors designed to accomplish this goal may be generated that will complete the desired task without any concern about whether or not the final goal will actually be completed. As long as the generated behaviors …