Optical array logic network computing: Design of a prototype system

1997 ◽  
Vol 4 (1) ◽  
pp. A199-A202 ◽  
Author(s):  
Yasuhiro Awatsujl ◽  
Nobuyuki Sakamoto ◽  
Hidetoshi Utsuro ◽  
Jun Tanida ◽  
Yoshiki Ichioka
Keyword(s):  
Prototype System ◽  
Network Computing ◽  
Logic Network ◽  
Optical Array Logic

Prototype System of Optical Array Logic Network Computing as a Test Bed for Digital Optical Computing

1999 ◽  
Author(s):  
Jun Tanida ◽  
Toru Miyajima ◽  
Norio Takagi ◽  
Yoshiki Ichioka ◽  
Daisuke Miyazaki ◽  
...  
Keyword(s):  
Optical Computing ◽  
Prototype System ◽  
Test Bed ◽  
Network Computing ◽  
Logic Network ◽  
Digital Optical Computing ◽  
Optical Array Logic

Optical array logic network computing: Design of a prototype system

1997 ◽  
Vol 4 (1) ◽  
pp. 199-202 ◽  
Author(s):  
Yasuhiro Awatsujl ◽  
Nobuyuki Sakamoto ◽  
Hidetoshi Utsuro ◽  
Jun Tanida ◽  
Yoshiki Ichioka
Keyword(s):  
Prototype System ◽  
Network Computing ◽  
Logic Network ◽  
Optical Array Logic

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

Rancang Bangun E-Learning Pronounciation Bahasa Inggris STKIP Setiabudhi Rangkasbitung Berbasis Web

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Dentik Karyaningsih ◽  
Puji Siswanto
Keyword(s):  
Teaching And Learning ◽  
English Language ◽  
English Education ◽  
System Development ◽  
Language Education ◽  
Prototype System ◽  
Study Program ◽  
Education Study ◽  
English Pronunciation ◽  
E Learning

Lecture courses in the English Language Education Study Program of STKIP Setiabudhi Rangkasbitung are still conducted in face-to-face class, so the students who do not attend lectures cannot know the pronunciation material at that time, because the Pronunciation course is a practical course in the English pronunciation system. The E-Learning Pronunciation is built so that lectures can be carried out anywhere and anytime without reducing the quality of the teaching and learning process. Therefore, the students who are left behind can continue to follow the Pronunciation course material, as well as habituating students in utilizing communication and information technology. E-Learning Pronunciation is important to be built to improve the ability of students’ pronunciation when doing distance learning, so that students are clearer and more firm in understanding Pronunciation so that there are no errors in English pronunciation. Participants in this study were first semester students of English education study programs. This study uses an experimental research design with the Prototype System development method and system of testing uses Black box testing.

Unifying Calibration Parameters for Dielectric Moisture Meter

2006 ◽  
Vol 2 (1) ◽  
pp. 73-94 ◽  
Author(s):  
Péter Mészáros ◽  
David B. Funk
Keyword(s):  
The United States ◽  
Temperature Correction ◽  
Physical Parameters ◽  
Correction Coefficient ◽  
Prototype System ◽  
United States Department ◽  
Very High Frequency ◽  
Grain Moisture ◽  
University Of Budapest ◽  
Improved Accuracy

The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited grain tests.

Interconnect Limits on Gigascale Integration (GSI)

1997 ◽  
Vol 473 ◽  
Author(s):  
J. A. Davis ◽  
J. D. Meindl
Keyword(s):  
Response Time ◽  
Length Distribution ◽  
Path Model ◽  
System Level ◽  
Wire Length ◽  
Clock Frequency ◽  
Gigascale Integration ◽  
Logic Network ◽  
Binary Switching ◽  
Quantitative Definition

ABSTRACTOpportunities for Gigascale Integration (GSI) are governed by a hierarchy of physical limits. The levels of this hierarchy have been codified as: 1) fundamental, 2) material, 3) device, 4) circuit and 5) system. Many key limits at all levels of the hierarchy can be displayed in the power, P, versus delay, td, plane and the reciprocal length squared, L-2, versus response time, τ, plane. Power, P, is the average power transfer during a binary switching transition and delay, td, is the time required for the transition. Length, L, is the distance traversed by an interconnect that joins two nodes on a chip and response time, τ, characterizes the corresponding interconnect circuit. At the system level of the hierarchy, quantitative definition of both the P versus td and the L-2 versus τ displays requires an estimate of the complete stochastic wiring distribution of a chip.Based on Rent's Rule, a well known empirical relationship between the number of signal input/output terminals on a block of logic and the number of gate circuits with the block, a rigorous derivation of a new complete stochastic wire length distribution for an on-chip random logic network is described. This distribution is compared to actual data for modern microprocessors and to previously described distributions. A methodology for estimating the complete wire length distribution for future GSI products is proposed. The new distribution is then used to enhance the critical path model that determines the maximum clock frequency of a chip; to derive a preliminary power dissipation model for a random logic network; and, to define an optimal architecture of a multilevel interconnect network that minimizes overall chip size. In essence, a new complete stochastic wiring distribution provides a generic basis for maximizing the value obtained from a multilevel interconnect technology.

94-LB: Measurement Accuracy of a Newly Developed Prototype System for Noninvasive Glucose Monitoring

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 94-LB
Author(s):  
GUIDO FRECKMANN ◽  
STEFAN PLEUS ◽  
PETER WINTERGERST ◽  
DELIA WALDENMAIER ◽  
NINA R. JENDRIKE ◽  
...  
Keyword(s):  
Measurement Accuracy ◽  
Glucose Monitoring ◽  
Prototype System ◽  
Noninvasive Glucose Monitoring
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