Landsat Satellite Image Segmentation Using the Fuzzy ARTMAP Neural Network

This application illustrates how the fuzzy ARTMAP neural network can be used to monitor environmental changes. A benchmark problem seeks to classify regions of a Landsat image into six soil and crop classes based on images from four spectral sensors. Simulations show that fuzzy ARTMAP outperforms fourteen other neural network and machine learning algorithms. Only the k-Nearest-Neighbor algorithm shows better performance (91% vs. 89%) but without any code compression, while fuzzy ARTMAP achieves a code compression ratio of 6:1. Even with a code compression ratio of 50:1 fuzzy ARTMAP still maintains good performance (83%). This example shows how fuzzy ARTMAP can combine accuracy and code compression in real-world applications.Office of Naval Research (N00014-92-J-401J, N00014-91-J-4100, N00014-92-J-4015); National Science Foundation (IRI 90-00530

Landsat Satellite Image Segmentation Using the Fuzzy ARTMAP Neural Network

This application illustrates how the fuzzy ARTMAP neural network can be used to monitor environmental changes. A benchmark problem seeks to classify regions of a Landsat image into six soil and crop classes based on images from four spectral sensors. Simulations show that fuzzy ARTMAP outperforms fourteen other neural network and machine learning algorithms. Only the k-Nearest-Neighbor algorithm shows better performance (91% vs. 89%) but without any code compression, while fuzzy ARTMAP achieves a code compression ratio of 6:1. Even with a code compression ratio of 50:1 fuzzy ARTMAP still maintains good performance (83%). This example shows how fuzzy ARTMAP can combine accuracy and code compression in real-world applications.Office of Naval Research (N00014-92-J-401J, N00014-91-J-4100, N00014-92-J-4015); National Science Foundation (IRI 90-00530

Compliant Metamaterials for Resonantly Enhanced Infrared Absorption Spectroscopy and Refractive Index Sensing

Metamaterials can be designed to operate at frequencies from the visible to the mid-IR, making these structures useful for both refractive index sensing and surface-enhanced infrared absorption spectroscopy. Here we investigate how the mechanical deformation of compliant metamaterials can be used to create new types of tunable sensing surfaces. For split ring resonator based metamaterials on polydimethylsiloxane we demonstrate refractive index sensing with figures of merit of up to 10.1. Given the tunability of the resonance of these structures through the infrared after fabrication, they are well suited for detection of the absorption signal of many typical vibrational modes. The results highlight the promise of postfabrication tunable sensors and the potential for integration

Fusion Artmap: A Neural Network Architecture for Multi-Channel Data Fusion and Classification

Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Single-channel Fusion ARTMAP is functionally equivalent to Fuzzy ART during unsupervised learning and to Fuzzy ARTMAP during supervised learning. The network has a symmetric organization such that each channel can be dynamically configured to serve as either a data input or a teaching input to the system. An ART module forms a compressed recognition code within each channel. These codes, in turn, become inputs to a single ART system that organizes the global recognition code. When a predictive error occurs, a process called paraellel match tracking simultaneously raises vigilances in multiple ART modules until reset is triggered in one of them. Parallel match tracking hereby resets only that portion of the recognition code with the poorest match, or minimum predictive confidence. This internally controlled selective reset process is a type of credit assignment that creates a parsimoniously connected learned network. Fusion ARTMAP's multi-channel coding is illustrated by simulations of the Quadruped Mammal database.Defense Advanced Research Projects Agency (ONR N0014-92-J-401J, AFOSR 90-0083, ONR N00014-92-J-4015); National Science Foundation (IRI-90-00530, IRI-90-24877, Graduate Fellowship); Office of Naval Research (N00014-91-J-4100); British Petroleum (89-A-1204); Air Force Office of Scientific Research (F49620-92-J-0334

Synthesis of substituted (oxazepine, Diazepine, tetrazde) via Schiff Bases for 2- Aminobenzo Thaizole Derivatives

This work includs synthesis of several Schiff bases by condensation of 6- methoxy – 2- amino benzothiazole with some aldehydes and ketones (2- hydroxyl benzaldehyde, 4- hydroxyl benzaldehyde, 4- N,N –dimethy amino acetophenone, benzophenone) to abtain schiff bases (1-5). These schiff bases were found to react with phthalate anhydride to give oxazepine derivatives (6-10) that were reacted with primary aromatic amines to give Diazepine derivatives (11-15). Besides, we prepared new tetrazole derivatives (16-20) from the reaction of the prepared Schiff bases with sodium azide in the prepared compounds that were characterized by physical properties, FT-IR and some of the 1H-NMR and 13C –NMR spectroscopy

Analytical Study of Survey Results of Chemical Safety and Security Curriculum in Iraqi Academic Institutions

The survey presents a general view of the reality of chemical safety and security in educational institutions in Iraq, in which about 301 university staff from 14 Iraqi universities includes a doctorate, master's and bachelor's degree with a postgraduate student presented their opinions regarding the survey sections. This included basic information related to security and safety curricula and their teaching to students of primary and higher studies in Iraqi universities and ways of communication between universities to improve the reality of teaching and training. These institutions possess a culture of safety and optimal training methods for trainers and students. The opinions of the residents varied, which indicates the disparity of university institutions in terms of performance and infrastructure to improve the reality of security and safety in their institutions. Among the observations, the survey adopted the terms “yes” and “no” to describe the situation, and this assessment is considered relative and inaccurate. For example, if we take the question, does your institution implement security standards and safety measures? The answer will be 90% yes, with a large discrepancy between these institutions in the fact that they possess these standards. However, it requires more accurate details in describing the required cases in the survey. We suggest that the Ministry of Higher Education’s decision-makers take the results of the survey into account to develop future plans and improve the reality of security and safety. Furthermore, it is required to address the negatives and enable universities to communicate with each other to exchange experiences. It is important to take into account the adoption of the principle of transparency in the dissemination of data that would enhance aspects of education and knowledge in educational institutions

A flexible architecture for manufacturing planning software maintenance

Computer software systems took on a new role in manufacturing planning with the introduction of Material Requirement Planning (MRP) system in 1965. The MRP system generates material requirement lists in response to given production requirements. In this way, inventory management, purchasing, and shipping activities are linked to manufacturing. In 1979, Manufacturing Resource Planning (MRP II) systems were introduced [VerDuin 1995]. MRP II typically includes planning applications, customer order entry, finished goods inventory, forecasting, sales analysis, production control, purchasing, inventory control, product data management, cost accounting, general ledger processing, payables, receivables, and payroll [Turbide 1995]. An emerging market is developing for software systems that expand the scope of\u27MRP II farther to encompass activities for the entire organization. Among these systems are Enterprise Resource Planning (ERP), Customer-Oriented Manufacturing Management System (COMMS), and Manufacturing Execution Systems (MES). These systems integrate marketing, manufacturing, sales, finance, and distribution to move beyond optimizing production alone, to optimizing the organization\u27s multiple objectives of low cost, rapid delivery, high quality, and customer satisfaction [VerDuin 1995]. MRP II is still the dominant solution for manufacturing in tens of thousands of companies. These companies range in size from less than a million dollars in sales right up to the top of Fortune 500 companies. However, this is a market penetration of only 11% which clearly shows the size and potential of the opportunity for MRP II development. Yet, despite the commonality of needs across the scope of manufacturing, there are distinct differences when comparing plant to plant, company to company, and industry to industry. Often MRP II has to be modified to adapt to a particular industry [Turbide 1993]. This modification often pushes the cost even higher and makes MRP II more out-of-reach for many companies. Therefore, it would be highly beneficial for the overall scope of manufacturing if a highly flexible low-cost MRP II system can be developed. This research presents a flexible architecture for development and maintenance of manufacturing planning software, especially MRP II. The architecture uses the concept of software reuse and is built on top of run-time object-oriented framework

Mathematical models to predict repair and maintenance cost for 2WD tractors in the mechanized rainfed areas, eastern Sudan

   Many tractor makes are working in the mechanized rainfed areas of eastern Sudan. Most of them are two-wheel drive (2WD) tractors. However, information concerning their repair and maintenance (R and M) costs are inadequate. Moreover, depending on information on R and M costs from other farming systems or countries is unrealistic. Four tractors were studied, which were Massy Ferguson (MF-290), Ford (FD-6610), Belarus (BL-800) and New Holland (TT-75). The objectives were to develop mathematical models to estimate tractors' annual R and M costs, to rank the studied tractors according to their predicted R and M costs and to compare estimations of the general model developed from this study with models developed elsewhere. Data on purchase price, annual working hours, fuel consumption, R and M costs, labor wage and oil costs were collected. The regression and F test analyses methods were used. Results revealed that the power function Y= aXb can be used to estimate tractor R and M costs; where Y is R and M costs as percent of purchase price and X is annual working hours. The annual working hours had very highly significant (P= 0.001) effect on R and M costs. The values of coefficient of determination (R2) were above 0.95 for all tractors and their general model. The developed models for all tractors were arranged in ascending order according to their predicted R and M costs as follows; Y = 0.05 (X/100)1.3 for TT-75,   Y = 0.04(X/100)1.4 for BL-800, Y= 0.03 (X/100)1.7 for MF-290 and Y = 0.05 (X/100)1.5 for FD-6610. The general model from this study was   Y = (0.041 (X/100)1.43). This general model predicted lower R and M costs compared to the models suggested for irrigated schemes of Sudan and some other countries. It is advised that each specific area and country must develop its own mathematical model

Photochemical Analysis of Moringa and Effect of Extract on Inhibition of Aspergillum Niger Development

     The present study investigated the photochemical and activities of the Moringa Rotifera lam plant extracts against the tested microorganisms (Fungi). The mycelia growth method was used for fungi. (Aspergillum Niger), the seeds, pods, leaves, and stem extracts gave 1.3, 3.0, 3.0 and 6.0 mm diameter, respectively. The seed extracts were most effective against Aspergillum Niger; they gave only 0.1 g dry weight and 3.99 g fresh weight. On the other hand, the stem, leaves and pod extracts were less effective, giving 0.60 g, 0.65g and 0.80g dry weights at the higher concentration (100%), respectively. The chemical analysis showed that the Moringa plant extracts contained flavonoids, tannins, saponins, alkaloids and steroids. From the results, it could be concluded that the Moringa plants' extracts were highly effective against the mycelial growth of fungi (radial growth and weights). The analysis of the active components of the extracts needs to be verified in further studies.&nbsp

Fusion ARTMAP: An Adaptive Fuzzy Network for Multi-Channel Classification

Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Fusion ARTMAP generalizes the fuzzy ARTMAP architecture in order to adaptively classify multi-channel data. The network has a symmetric organization such that each channel can be dynamically configured to serve as either a data input or a teaching input to the system. An ART module forms a compressed recognition code within each channel. These codes, in turn, beco1ne inputs to a single ART system that organizes the global recognition code. When a predictive error occurs, a process called parallel match tracking simultaneously raises vigilances in multiple ART modules until reset is triggered in one of thmn. Parallel match tracking hereby resets only that portion of the recognition code with the poorest match, or minimum predictive confidence. This internally controlled selective reset process is a type of credit assignment that creates a parsimoniously connected learned network.Advanced Research Projects Agency (ONR N00014-92-J-401J, ONR N00014-92-J-4015); National Science Foundation (IRI-90-00530, IRI-90-24877, Graduate Fellowship); Office of Naval Research (N00014-91-J-4100); British Petroleum (89-A-1204); Air Force Office of Scientific Research (F49620-92-J-0334