The Experts below are selected from a list of 582 Experts worldwide ranked by ideXlab platform
Syed V. Ahamed - One of the best experts on this subject based on the ideXlab platform.
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Chapter 16 – General Flow Theory of Knowledge
Evolution of Knowledge Science, 2017Co-Authors: Syed V. AhamedAbstract:Chapter Summary In this chapter, we propose a methodology for quantifying the flow of Knowledge based on simple rules of flow that govern the flow of current, heat or fluids. Knowledge being radically different from any of these established down to earth concepts starts to display that the approach based on conduction theory soon become ineffective, if not futile to be very precise in the quantification the flow of Knowledge. However, the inroads of these discipline carved out over many decades offer a rough mapping of potentials, resistances, path impedances, work-done, and energies transferred. At the outset, Knowledge does not abide by universal law of conservation of energy nor by the basic laws of fluid mechanics, instead Knowledge needs its own laws and precepts to quantify its flow, rate of flow, and energies transferred from one Knowledge Centric Object (KCO) to another. The conceptual framework evolved in this chapter, together with the tools of characterization of KCOs in any given discipline offers the explanation that the Knowledge potential acquired by anyone depends on the differences of Knowledge potentials, the duration of interaction, and the resistance to flow of Knowledge between the participants. Concepts developed here are generic and they can be used most disciplines and in most places. The chapter also identifies the makeup of the “source” and the “receptor” KCOs and addresses the process of Knowledge transfer wherein the constitution of the KCOs is altered and adjusted by the “work done” during the Knowledge energy transfer. By adapting and enhancing equations from heat-, current-, or fluid-flow laws of physics, electrical engineering or fluid mechanics, we propose the Knowledge flow be similarly quantified. Though simple and direct, this approach is coarse and approximate. It yields values for Knowledge entities that happen at a subconscious level for human minds and for animate Objects and at data and Knowledge levels in intelligent communication systems and machines.
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Chapter 19 – Inspiration Flow Theory of Knowledge
Evolution of Knowledge Science, 2017Co-Authors: Syed V. AhamedAbstract:Chapter Summary This chapter is based on the notion that the elemental modules of Knowledge (ΔK) are exchanged or transferred by virtual exchanges of verb functions (VF’s) between noun Objects or Knowledge Centric Objects (KCOs). In order to be practical and concurrently meaningful, we explore the concepts in this theory whereby the protocol for the Knowledge path of smaller kco’s is in the physical domain and the larger Knowledge Centric Object (KCO) is transported by imagery, similarities, parallelisms, and inspirations. One or subsequent sociopsychological pathways (memory flash-back, trigger-images, look, glance, gesture, etc.) confirm the Knowledge exchange is imminent and then an “image” of a large body of Knowledge (KCO) gets subconsciously formed by the receptor whereby bulk of the content is exchanged between the donor(s) and recipient(s) or vice versa. This image of the KCO is transferred, processed, reinforced, and refined. For example, love at first sight is another name for this mystic process. As another example, two scientists can communicate an enormous amount of information significant and beneficial to each other, in a short time by preassigned symbols, notations, equations, and even looks, signs, or a gesture. The resulting image is a constructive combination of the perceived image (as a seed or nucleus) and the supplementary image(s) from the receptor’s own Knowledge banks. We hasten to add that cruelty and violence can also be transferred thus. For example, a tiny insignificant nation can induce hate and aggression against other nations by distorting images fed to a much larger more powerful nation. Such examples are much too prevalent in history. Knowledge space becomes staggeringly more complex than the physical space. The order of complexity becomes at least fourfold because every noun-Object (n), verb-function (v), and their combination (*) are unique, furthermore all three depend on the X, Y, Z, t coordinates in socially and culture. Hence, it becomes necessary to limit the size of kunatum to “sensible” size and to be practical. Initially, it can be limited to most useful noun Objects and verb functions. Two examples follow. In its practical format, a kunatum of Knowledge can be stated as (food (n), eat (v), restaurant (x, y, z), date and time (t)). At the other extreme, a cosmic kunatum can be stated as (space ship A (n), explore (v), coordinates-Planet B (x, y, z), cosmic calendar date and time (t)). The need to be practical and limit the programing complexity, it becomes a necessity to deal with kunatized Knowledge within the realm of computation. Even so, the content of the Knowledge so gathered (i.e., the food eaten in the restaurant or the data collected by the space ship) is not communicated. The flow of the entirety of Knowledge needs a larger number of smaller kunata (kco’s) to be complete within the global-kunata of Knowledge (or KCO).
Jesús M. Torres - One of the best experts on this subject based on the ideXlab platform.
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Intelligent system for the automated diagnosis of histological images
2004Co-Authors: J. I. Estévez, J. Sigut, J.l. Sanchez, J. D. Piñeiro, Silvia Alayon, R. L. Marichal, Jesús M. TorresAbstract:The problem of diagnosing histological/cytological images is the main Objective of this work. A system for the analysis of this kind of digital images is proposed. This system aims to systematize the image processing/machine vision/classification procedures needed to reproduce the physician interpretive abilities and collect them in standardized protocols both reproducible and of quantifiable performance. Flexible soft-computing techniques will be needed to reach an adequate performance at the level of image interpretation, while a Knowledge-Centric, Object-oriented implementation approach will be preferable to hide the details of these procedures from the specialist. A case study of pathology diagnosis is proposed as illustration of the difficulties and the techniques that will be used in the system.
J. I. Estévez - One of the best experts on this subject based on the ideXlab platform.
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Intelligent system for the automated diagnosis of histological images
2004Co-Authors: J. I. Estévez, J. Sigut, J.l. Sanchez, J. D. Piñeiro, Silvia Alayon, R. L. Marichal, Jesús M. TorresAbstract:The problem of diagnosing histological/cytological images is the main Objective of this work. A system for the analysis of this kind of digital images is proposed. This system aims to systematize the image processing/machine vision/classification procedures needed to reproduce the physician interpretive abilities and collect them in standardized protocols both reproducible and of quantifiable performance. Flexible soft-computing techniques will be needed to reach an adequate performance at the level of image interpretation, while a Knowledge-Centric, Object-oriented implementation approach will be preferable to hide the details of these procedures from the specialist. A case study of pathology diagnosis is proposed as illustration of the difficulties and the techniques that will be used in the system.
J. Sigut - One of the best experts on this subject based on the ideXlab platform.
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Intelligent system for the automated diagnosis of histological images
2004Co-Authors: J. I. Estévez, J. Sigut, J.l. Sanchez, J. D. Piñeiro, Silvia Alayon, R. L. Marichal, Jesús M. TorresAbstract:The problem of diagnosing histological/cytological images is the main Objective of this work. A system for the analysis of this kind of digital images is proposed. This system aims to systematize the image processing/machine vision/classification procedures needed to reproduce the physician interpretive abilities and collect them in standardized protocols both reproducible and of quantifiable performance. Flexible soft-computing techniques will be needed to reach an adequate performance at the level of image interpretation, while a Knowledge-Centric, Object-oriented implementation approach will be preferable to hide the details of these procedures from the specialist. A case study of pathology diagnosis is proposed as illustration of the difficulties and the techniques that will be used in the system.
J.l. Sanchez - One of the best experts on this subject based on the ideXlab platform.
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Intelligent system for the automated diagnosis of histological images
2004Co-Authors: J. I. Estévez, J. Sigut, J.l. Sanchez, J. D. Piñeiro, Silvia Alayon, R. L. Marichal, Jesús M. TorresAbstract:The problem of diagnosing histological/cytological images is the main Objective of this work. A system for the analysis of this kind of digital images is proposed. This system aims to systematize the image processing/machine vision/classification procedures needed to reproduce the physician interpretive abilities and collect them in standardized protocols both reproducible and of quantifiable performance. Flexible soft-computing techniques will be needed to reach an adequate performance at the level of image interpretation, while a Knowledge-Centric, Object-oriented implementation approach will be preferable to hide the details of these procedures from the specialist. A case study of pathology diagnosis is proposed as illustration of the difficulties and the techniques that will be used in the system.
