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Articles 11101 - 11130 of 13817
Full-Text Articles in Engineering
Wavelength Selection Using The Measure Of Topological Relevance On The Self-Organizing Map, Francesco Corona, Satu Pia Reinikainen, Kari Aaljoki, Annikki Perkiö, Elia Liitiäinen, Roberto Baratti, Olli Simula, Amaury Lendasse
Wavelength Selection Using The Measure Of Topological Relevance On The Self-Organizing Map, Francesco Corona, Satu Pia Reinikainen, Kari Aaljoki, Annikki Perkiö, Elia Liitiäinen, Roberto Baratti, Olli Simula, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Work, We Investigated the Possibility to Perform Wavelength Selection by Exploiting the Metric Structure of the Spectrophotoscopic Measurements. the Topologically Preserving Representation of the Data is Performed using the Self-Organizing Map (Som) Where the Inputs' Significance to the Output is Computed with the Measure of Topological Relevance (MTR) on Som. the MTR on Som is a Metric Measuring the Similarity between Local Distance Matrices and We Found that Spectral Inputs with a Topology, Which Is, Close to the Outputs Are Also Associated to the Wavelengths that Chemically Explain the Influence of the Spectra to the Property of Interest. …
Gaussian Basis Functions For Chemometrics, Tuomas Kärnä, Francesco Corona, Amaury Lendasse
Gaussian Basis Functions For Chemometrics, Tuomas Kärnä, Francesco Corona, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
High-Dimensional Data Are Becoming More and More Common, especially in the Field of Chemometrics. Nevertheless, it is Generally Known that Most of the Commonly Used Prediction Models Suffer from Curse of Dimensionality that is the Prediction Performance Degrades as Data Dimension Grows. Therefore, It is Important to Develop Methodology for Reliable Dimensionality Reduction. in This Paper, We Propose a Method that is based on Functional Approximation using Gaussian Basis Functions. the Basis Functions Are Optimized to Accurately Fit the Spectral Data using Nonlinear Gauss-Newton Algorithm. the Fitting Weights Are Then Used as Training Data to Build a Least-Squares Support Vector …
The Effects Of Congressional Elections On Future Equity Market Returns, Vincent Louis Ovlia, David Lee Enke, Michael C. Davis
The Effects Of Congressional Elections On Future Equity Market Returns, Vincent Louis Ovlia, David Lee Enke, Michael C. Davis
Engineering Management and Systems Engineering Faculty Research & Creative Works
As the primary entity responsible for new legislation, Congress is capable of enacting legislation that may affect future market returns. To examine potential effects, the percentage of the House of Representatives and Senate controlled by a political party is examined. Additionally, the effect on returns in a change in the percentage of seats gained or lost in Congressional elections is analyzed. To test both theories, a modified “partisan view” model is adopted. Results point to the fact that equity markets perform better in situations in which power is distributed between political parties.
Information Presentation On Mobile Device For Plant Operations, Raghavendra Rao Polakonda
Information Presentation On Mobile Device For Plant Operations, Raghavendra Rao Polakonda
Browse all Theses and Dissertations
Process control and maintenance systems have been used in the petrochemical and refining industry for long time for improving operator performance and workforce efficiency. However, there is a need to integrate these systems with current technological innovations in a systematic and meaningful manner. Advances in mobile computing, sensor technologies, software algorithms, and computational methods provide the possibility for easy access to information anytime-anywhere. The issues associated with retrieving and reviewing this information directly affects the ability to make timely and quality decisions in high stakes environments like a petrochemical plant where time critical decisions are involved. This research investigates the …
Implementation Of Simulation For Network Service Delivery Point Capacity Analysis, Tiffany Jill Harper
Implementation Of Simulation For Network Service Delivery Point Capacity Analysis, Tiffany Jill Harper
Browse all Theses and Dissertations
As businesses consolidate and modernize their operations, the impact on their network and computing infrastructure is a major consideration. In this thesis, discrete event simulation is used to show how implementation of an Enterprise Resource Planning (ERP) system can impact network performance and ultimately affect end-users. More specifically, the model simulates the flow of data packets across a network, through a Service Delivery Point (SDP), which is comprised of routers, switches, and firewalls that connect a Local Area Network to a Wide Area Network.
The model was used to run to determine the affect of more network traffic and additional …
A Tabu Search Heuristic For Multi-Period Clustering To Rationalize Delivery Operations, Surya Sudha Khambhampati
A Tabu Search Heuristic For Multi-Period Clustering To Rationalize Delivery Operations, Surya Sudha Khambhampati
Browse all Theses and Dissertations
Delivery operations use centralized warehouses to serve geographically distributed customers. Resources (e.g. personnel, trucks, stock, and equipment) are scheduled from the warehouses to distributed locations with the aim of: (a) meeting customer demands and, (b) rationalizing delivery operation costs. My thesis investigates the problem of clustering customers based on their geographical vicinity and their multi-period demands, while optimally scheduling resources. The problem addresses with-and-without capacity constraints of vehicles at the warehouse. This problem is proven to be NP-Hard. Hence, solutions using state-of-the-art exact methods such as branch and bound are not pertinent due to the computation complexity involved. We develop …
A Stochastic Production Planning Model Under Uncertain Demand, Meenakshi Prajapati
A Stochastic Production Planning Model Under Uncertain Demand, Meenakshi Prajapati
Browse all Theses and Dissertations
Production planning plays a vital role in the management of manufacturingfacilities. The problem is to determine the production loading plan consisting of the quantity of production and the workforce level - to fulfill a future demand. Although the deterministic version of the problem has been widely studied in the literature, the stochastic production planning problem has not. The application of production planning models could be limited if the stochastic nature of the problem, for example, uncertainty in future demand, is not addressed. This study addresses such a stochastic production planning problem under uncertain demand and its application in an enclosure …
Performance Comparison Of Thermal Insulated Packaging Boxes, Bags And Refrigerants For Single-Parcel Shipments, S. P. Singh, Gary J. Burgess, Jay Singh
Performance Comparison Of Thermal Insulated Packaging Boxes, Bags And Refrigerants For Single-Parcel Shipments, S. P. Singh, Gary J. Burgess, Jay Singh
Industrial Technology and Packaging
A range of packaging solutions exists for products that must be kept within a specific temperature range throughout the supply-and-distribution chain. This report summarizes the results of studies conducted over a span of 2 years by the Consortium for Distribution Packaging at Michigan State University. Thermal insulation packaging materials such as expanded polystyrene, polyurethane, corrugated fibreboard, ThermalCor® and other composite packaging such as thermal insulating bags were studied. Phase change materials such as gel packs were also evaluated. Properties such as R-value, melting point and heat absorption were examined and are reported.
Ergonomic Analysis Of A Hair Salon, Joseph Keebler, David Schuster, Scott Ososky
Ergonomic Analysis Of A Hair Salon, Joseph Keebler, David Schuster, Scott Ososky
Publications
Cosmetology involves a number of diverse tasks that have been implicated in cumulative trauma disorders and in other workplace injuries. This case study presents an analysis of injury risk and prevalence in a salon. Individual, occupational, and organizational factors are considered, and potential areas where risk can be reduced are presented.
Predicting And Reducing Warranty Costs By Considering Customer Expectation And Product Performance, Naresh Kumar Sharma
Predicting And Reducing Warranty Costs By Considering Customer Expectation And Product Performance, Naresh Kumar Sharma
Doctoral Dissertations
"This dissertation develops from quality loss function to warranty loss function in which customer expectation is also considered to be a variable. First, Taguchi's quality loss function for the larger-the-better case, which is different from the smaller-the better and nominal-the-best cases, has been assimilated into the other two by introducing a term called the target-mean ratio. Further topics addressed include the implications of a finite target on the classification of LTB characteristics, a new concept of a "Complementary Characteristic", operating window, complexity, and SN ratio based on complexity. A warranty is a buyer's confidence owing to the seller's assurance to …
Applying Six Sigma Methodology To The Admissions Process In Higher Education, Alok Verma
Applying Six Sigma Methodology To The Admissions Process In Higher Education, Alok Verma
Engineering Technology Faculty Publications
Time and quality are two important metrics for improving a company's production and profit performance. Six Sigma is one of the most powerful continuous improvement tools that have been used to improve the quality of products and business processes. Six Sigma methodology provides the techniques and tools to improve the capability and reduce the number of defects in any process. It was originally developed by Motorola to systematically improve processes by eliminating defects. Although, originally developed for manufacturing processes, the tool has been effectively applied to improve business processes also. Evaluation of applications for admission in higher education is often …
Guidelines For Deploying Wireless Sensor Network In Manufacturing: Star Topology Study Using The Rssi To Test The Network Performance, A. Hameed Madwar
Guidelines For Deploying Wireless Sensor Network In Manufacturing: Star Topology Study Using The Rssi To Test The Network Performance, A. Hameed Madwar
Dissertations and Theses @ UNI
Wireless Sensor Networks (WSNs) are varying in kinds and can be used for many purposes. It can be extensively used in monitoring, reporting, and decision routines. Therefore, WSNs are very important to integrate with manufacturing since they can help not only in monitoring and decision making but also they can increase productivity and decrease the wiring costs. However, WSNs are facing some challenges in manufacturing as they need to resist the interferences that could be generated by the electrical and mechanical fields created during the manufacturing processes. Some of these interferences could be due to the high temperatures, blocks of …
The Oil Drilling Model And Iterative Deepening Genetic Annealing Algorithm For The Traveling Salesman Problem, Hoong Chuin Lau, Fei Xiao
The Oil Drilling Model And Iterative Deepening Genetic Annealing Algorithm For The Traveling Salesman Problem, Hoong Chuin Lau, Fei Xiao
Research Collection School Of Computing and Information Systems
In this work, we liken the solving of combinatorial optimization problems under a prescribed computational budget as hunting for oil in an unexplored ground. Using this generic model, we instantiate an iterative deepening genetic annealing (IDGA) algorithm, which is a variant of memetic algorithms. Computational results on the traveling salesman problem show that IDGA is more effective than standard genetic algorithms or simulated annealing algorithms or a straightforward hybrid of them. Our model is readily applicable to solve other combinatorial optimization problems.
Effect Of Nitrogen Filling On Tire Rolling Resistance And Vehicle Fuel Economy, Prakash Venkataraman
Effect Of Nitrogen Filling On Tire Rolling Resistance And Vehicle Fuel Economy, Prakash Venkataraman
All Theses
There are various losses associated with passenger vehicle that affect its fuel economy as it is being operated. These losses include engine, driveline, aerodynamic and rolling losses. While engine, driveline and aerodynamic losses are inherent with the vehicle due to large number of parts that go into assembling, rolling loss is associated with the vehicle tires and it is the only part of the vehicle that comes in contact with the road. The rolling resistance of inflated tires is an important component of resistance to vehicle motion and contributes to vehicle fuel consumption. Many research works have been focused on …
Acuta Enews December 2007, Vol.36, No. 12
Acuta Enews December 2007, Vol.36, No. 12
ACUTA Newsletters
ln This lssue
From the President............. Walt Magnussen, Texas A&M Univ., ACUTA President
Check lt Out: RFls/RFPs, Job Postings, Press Releases
Tech Talk: Mash Up Your Data and Serve lt with Gravy................ Kevin Tanzillo, Dux PR
Board Report.................... Riny Ledgerwood, Son Diego State Univ., ACUTA, Sec../Treasurer
DC Update............ Jeanne Jansenius, Sewanee, The University of the South
lnfo Links............... Randy Hayes, Univ, of Northern lowa
Why Do We Do What We Do?...................... Bill Farris, Univ. of Kansas
FYI: Useful Information from Campus............. Eric Weil, Student Monitor
Nominations Open for Institutional Excellence Awards............... Carmine Piscopo, Providence College
Thanks to 2007 Sponsors
PAETEC …
Response Of Phlebotomine Sand Flies To Light-Emitting Diode-Modified Light Traps In Southern Egypt, D. F. Hoel, Emad Y. Fawaz, J.E Butler, N. Watany, S. S. El-Hossary, J. Villinski
Response Of Phlebotomine Sand Flies To Light-Emitting Diode-Modified Light Traps In Southern Egypt, D. F. Hoel, Emad Y. Fawaz, J.E Butler, N. Watany, S. S. El-Hossary, J. Villinski
United States Navy: Publications
Centers For Disease Control and Prevention (CDC) light traps were modified for use with light-emitting diodes (LED) and compared against a control trap (incandescent light) to determine the effectiveness of blue, green, and red lights against standard incandescent light routinely used for sand fly surveillance. Light traps were baited with dry ice and rotated through a 4 x 4 Latin square design during May, June, and July, 2006. Trapping over 12 trap nights yielded a total of 2,298 sand flies in the village of Bahrif, 6 km north of Aswan on the east bank of the Nile River in southern …
Formulation Of Lean Six Sigma Critical Business Processes For Manufacturing Facilitites, Chaucey Chandler
Formulation Of Lean Six Sigma Critical Business Processes For Manufacturing Facilitites, Chaucey Chandler
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The author desired to create a method organizing the concepts from Lean, Six Sigma, critical business processes, and simplifying the usage of these concepts to identify Lean Six Sigma Critical Business Processes. Inspired by Laura Meade (1997) and the author's passion concerning process improvements, this research was created. Lean activities eliminate waste, Six Sigma activities eliminate variation, critical business processes focus on those areas that need improvement and are critical to the process, and Analytical Network Process (ANP) models problems considering the interactions between levels. There is value for all companies to implement at least one of these tools. Since …
Multi-Objective Evaluation Of Dynamic Facility Layout Using Ant Colony Optimization, Gary Yu-Hsin Chen
Multi-Objective Evaluation Of Dynamic Facility Layout Using Ant Colony Optimization, Gary Yu-Hsin Chen
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The Dynamic Facility Layout Problem (DFLP) deals with changes of facility layout throughout time. As an extension to Static Facility Layout Problem (SFLP), it has gathered increasing interests lately. Facility layouts are constantly modified over time either to meet customers' changing demands in product designs and functionalities or to keep pace with technological innovations. Manufacturers must stay flexible and agile and frequent facility layout changes are needed. Since there is often insufficient time and insufficient funding to build a new manufacturing plant, it is often necessary to rearrange the current plant layout. Even though the rearrangement of plant layout can …
Function-Technology-Based Product Platform Formation, Rupesh Kumar, Venkat Allada
Function-Technology-Based Product Platform Formation, Rupesh Kumar, Venkat Allada
Engineering Management and Systems Engineering Faculty Research & Creative Works
Product platforms have been effectively used by many successful companies for product family design. Technological advancements and changes in customer needs pose problems for robustly designing product platforms over a given planning horizon. to date, most product platform formation approaches are directed by structural (subassemblies and components) considerations and are seldom undertaken at the conceptual design stage. We argue that product platform design should commence at the conceptual design stage rather than the detailed design stage. It is noteworthy that physical structures are the end results of designs already frozen at higher level of functional abstraction. Hence, tackling the platform …
Time Series Prediction As A Problem Of Missing Values: Application To Estsp2007 And Nn3 Competition Benchmarks, Antti Sorjamaa, Amaury Lendasse
Time Series Prediction As A Problem Of Missing Values: Application To Estsp2007 And Nn3 Competition Benchmarks, Antti Sorjamaa, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Paper, Time Series Prediction is Considered as a Problem of Missing Values. a Method for the Determination of the Missing Time Series Values is Presented. the Method is based on Two Projection Methods: A Nonlinear One (Self-Organized Maps) and a Linear One (Empirical Orthogonal Functions). the Presented Global Methodology Combines the Advantages of Both Methods to Get Accurate Candidates for the Prediction Values. the Methods Are Applied to Two Time Series Competition Datasets. ©2007 IEEE.
Variable Scaling For Time Series Prediction: Application To The Estsp'07 And The Nn3 Forecasting Competitions, Amaury Lendasse, Elia Liitiainen
Variable Scaling For Time Series Prediction: Application To The Estsp'07 And The Nn3 Forecasting Competitions, Amaury Lendasse, Elia Liitiainen
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Paper, Variable Selection and Variable Scaling Are Used in Order to Select the Best Regressor for the Problem of Time Series Prediction. Direct Prediction Methodology is Used Instead of the Classic Recursive Methodology. Least Squares Support Vector Machines (LS-SVM) and K-NN Approximator Are Used in Order to Avoid Local Minimal in the Training Phase of the Model. the Global Methodology is Applied to the Estsp'07 Competition Dataset [1] and the Dataset B of the Nn3 Forecasting Competition [2]. ©2007 IEEE.
An Empirical Dependence Mesaures Based On Residual Variance Estimation, Nima Reyhani, Amaury Lendasse
An Empirical Dependence Mesaures Based On Residual Variance Estimation, Nima Reyhani, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Paper, a Solution to Empirical Dependency Measure is Proposed. the Main Idea is to Use the Notion of Predictability as a Basis for Dependency Definition. Considering Any Nonlinear Regression Function between Two Random Variables, the Power of Regression Residuals or Noise Variance Defines the Desired Dependency Measure. the Residuals Variance Can Be Directly Computed by Estimators Without Finding the Best Fit Curve. the Paper Shows the Conditions on Which Two Random Variables Are Independent According to the Estimated Residuals Variance. the Existence of Residual Variance, or Noise Variance Estimators Make It Possible to Define Such Practical Measure for …
Measurement And Analysis Of Vibration Levels On Warehouse And Retail Store Material Handling Equipment, S. P. Singh, Jay A. Singh, P. Gaur, K. Saha
Measurement And Analysis Of Vibration Levels On Warehouse And Retail Store Material Handling Equipment, S. P. Singh, Jay A. Singh, P. Gaur, K. Saha
Industrial Technology and Packaging
Material Handling Equipment (MHE) is widely used to move packaged goods from manufacturing to warehousing, storage, transportation, in both warehouses and distribution centers to retail stores. Moving product between facilities is done by different types of equipment ranging from manually pushed carts to automated vehicles. A considerable amount of research has been conducted to evaluate the ergonomics of manual or mechanized MHE in the past. There is, however, no published work documenting vibration conditions that occur when transporting packages using MHE. This study measured the vibration levels for typical MHE used at warehousing facilities. Power spectral density plots were generated …
Variability In Compression Strength And Deflection Of Corrugated Containers As A Function Of Positioning, Operators, And Climatic Conditions, Jay A. Singh, P. Bainbridge, S. P. Singh, Eric Olsen
Variability In Compression Strength And Deflection Of Corrugated Containers As A Function Of Positioning, Operators, And Climatic Conditions, Jay A. Singh, P. Bainbridge, S. P. Singh, Eric Olsen
Industrial Technology and Packaging
ASTM D642 is a commonly used standard for measuring the ability of containers to resist external compressive loads applied to its faces, to diagonally opposite edges, or to corners. The procedure recommends testing by centering the specimen on the lower platen of the testing machine in the desired orientation, so as not to incur eccentric loading. It is also recommended by the standard that the load be applied with a continuous motion of the movable platen of the testing machine at a speed of 0.5 ±0,1 in. (12.7 ± .25 cm)/min until failure or a specified load, has been reached. …
An Examination Of The Variables Affecting Rfid Tag Readability In A Conveyer Belt Environment, Jay A. Singh, C. Deupser, Eric Olsen, S. P. Singh
An Examination Of The Variables Affecting Rfid Tag Readability In A Conveyer Belt Environment, Jay A. Singh, C. Deupser, Eric Olsen, S. P. Singh
Industrial Technology and Packaging
There is a growing list of companies implementing radio frequency identification (RFID) systems to help optimize their supply chain processes. These companies realize that a successful RFID system can potentially lead to lower supply chain inventory levels, reduced operating expenses, and greater visibility throughout the supply chain. However, since RFID technology is still relatively immature, a majority of the applications experience less than perfect read rates for tagged items moving through the supply chain. This paper reports the results for a variety of different arrangements of variables that may influence the readability of the RFID tags in a conveyer belt …
Study Of The Minimum Spanning Hyper-Tree Routing Algorithm In Wireless Sensor Networks, Ting Yang, Yugeng Sun, Zhaoxia Wang, Juwei Zhang, Yingqiang Ding
Study Of The Minimum Spanning Hyper-Tree Routing Algorithm In Wireless Sensor Networks, Ting Yang, Yugeng Sun, Zhaoxia Wang, Juwei Zhang, Yingqiang Ding
Research Collection School Of Computing and Information Systems
Designing energy-efficient routing protocols to effectively increase the networks' lifetime and provide the robust network service is one of the important problems in the research of wireless sensor networks. Using the hyper-graph theory, the paper represents large-scale wireless sensor networks into a hyper-graph model, which can effectively decrease the control messages in routing process. Based on this mathematic model, the paper presents the minimum spanning hyper-tree routing algorithm in synchronous wireless sensor networks (MSHT-SN), which builds a minimum energy consumption tree for data collection from multi-nodes to Sink node. The validity of the algorithm is proved by the theatrical analysis. …
Tuning Tabu Search Strategies Via Visual Diagnosis, Steven Halim, Hoong Chuin Lau
Tuning Tabu Search Strategies Via Visual Diagnosis, Steven Halim, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
While designing working metaheuristics can be straightforward, tuning them to solve the underlying combinatorial optimization problem well can be tricky. Several tuning methods have been proposed but they do not address the new aspect of our proposed classification of the metaheuristic tuning problem: tuning search strategies. We propose a tuning methodology based on Visual Diagnosis and a generic tool called Visualizer for Metaheuristics Development Framework(V-MDF) to address specifically the problem of tuning search (particularly Tabu Search) strategies. Under V-MDF, we propose the use of a Distance Radar visualizer where the human and computer can collaborate to diagnose the occurrence of …
Trenchless Water Pipe Condition Assessment Using Artificial Neural Network, Zong Woo Geem, Chung-Li Tseng, Juhwan Kim, Cheolho Bae
Trenchless Water Pipe Condition Assessment Using Artificial Neural Network, Zong Woo Geem, Chung-Li Tseng, Juhwan Kim, Cheolho Bae
Engineering Management and Systems Engineering Faculty Research & Creative Works
In order to assess the water pipe condition without excavating, artificial neural network (ANN) model was developed and applied to real-world case in South Korea. for the input in this ANN model, 11 factors such as (1) pipe material, (2) diameter, (3) pressure head, (4) inner coating, (5) outer coating, (6) electric recharge, (7) bedding condition, (8) age, (9) trench depth, (10) soil condition, and (11) number of road lanes were used; and, for the output, overall pipe condition index was derived based on 5 factors such as (1) outer corrosion, (2) crack, (3) pin hole, (4) inner corrosion, and …
Designing And Manufacturing Microelectronic Packages For High-Power Light-Emitting Diodes, Brian Wright, Jianbiao Pan, Richard Savage
Designing And Manufacturing Microelectronic Packages For High-Power Light-Emitting Diodes, Brian Wright, Jianbiao Pan, Richard Savage
Industrial and Manufacturing Engineering
A new microelectronic package was designed for a high-power light-emitting diode (LED). The objective was to build a package that enables the LED to operate with currents as high as 2 Amps. An innovative thin-film interface has been developed to electrically connect the cathode of the LED die to a 22AWG Cu wire. This thin-film interface is wirebondable and solderable, and consists of three layers: Au, Ni93/V7, and Si. Four 1 mil Au wirebonds, supporting 2A of maximum current, connect the Au thin-film to the LED die cathode. Sn96Ag4 solder is used for connecting the Ni93/V7 thin-film to the 22AWG …
Acuta Enews November 2007, Vol.36, No. 11
Acuta Enews November 2007, Vol.36, No. 11
ACUTA Newsletters
In This Issue
From ACUTA Headquarters.................. Jeri A. Semer, CAE, ACUTA Executive Director
Tech Talk: There Are Lots of Zeroes Behind a Yottabit............ Kevin Tanzillo, Dux PR.
DC Update............... Jeanne Jansenius, Sewanee, The University of the South
lnfo Links ............... Randy Hayes, Univ. of Northern lowa
Board Report............... Riny Ledgerwood, San Diego State Univ., ACUTA Sec./Treasurer
ls Your lP Phone Counterfeit?..................... Gary Audin, Delphi
FYI: Useful lnformation from Campus.................. Eric Weil, Student Monitor
Thanks to 2007 Exhibitors
Welcome New Members
Check lt Out: RFls/RFPs, Job Postings, Press Releases