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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Emisja Zanieczyszczeń Powietrza Z Procesu Grafityzacji Wyrobów Drobnych, Marian Mazur, Robert Oleniacz, Marek Bogacki, Przemysław Szczygłowski
Emisja Zanieczyszczeń Powietrza Z Procesu Grafityzacji Wyrobów Drobnych, Marian Mazur, Robert Oleniacz, Marek Bogacki, Przemysław Szczygłowski
Robert Oleniacz
The paper presents the research results of the air pollutant emissions from the graphitising process of fine carbon products in the Acheson furnace (discharge capacity 5,5 Mg). Research was performed for two kinds of raw material inputs (based on petroleum coke and pitch coke). Approximately 40-hours measurement series were carried out for each material including mainly such substances like carbon monoxide, hydrocarbons, nitrogen oxides, sulphur dioxide, hydrogen sulphide, carbon disulphide, ammonia, benzene, toluene, xylenes, total dust, tar substances and polycyclic aromatic hydrocarbons. Both average and maximum concentrations and mass streams in the flue gases and average emission factors were presented …
Pomiary Wielkości Cząstek W Powietrzu W Czasie Rzeczywistym, Marek Bogacki, Robert Oleniacz, Marian Mazur, Stanisław Kamiński
Pomiary Wielkości Cząstek W Powietrzu W Czasie Rzeczywistym, Marek Bogacki, Robert Oleniacz, Marian Mazur, Stanisław Kamiński
Robert Oleniacz
The paper presents the new method for measurements of air particulate size distribution in real time using Kamika Infrared Particulate Sizer type P (IPS-P) with isokinetic air sampler. The device makes it possible to classify (sort) air particulates according to size into 256 granularity classes from about 0.4 µm up to 300 µm. Tests of the IPS-P prototype were conducted in Warsaw at the turn of 2005/2006 and some measurement results were presented in the work.
English title: Measurements of the particulate size distribution in the air in real-time.
Pre-Disaster Planning And Mitigation And Its Impact On Comprehensive Emergency Management And The Nation: Pre-Disaster Mitigation (Pdm) Program And The Population Protected, Thomas Lyons Carr Iii
Pre-Disaster Planning And Mitigation And Its Impact On Comprehensive Emergency Management And The Nation: Pre-Disaster Mitigation (Pdm) Program And The Population Protected, Thomas Lyons Carr Iii
Thomas Lyons (Thom) Carr III Appl.Sc., CEM
A Project for a Professional Degree submitted to The Faculty of School of Engineering and Applied Science of The George Washington University in partial fulfillment of the requirements for the degree of Applied Scientist of Engineering Management May 21, 2006
On October 10, 2000, The Disaster Mitigation Act of 2000 (DMA 2000 or DMA 2K) (Public Law 106-390) was enacted, amending the Robert T. Stafford Relief and Emergency Assistance Act and established new requirements for the national for hazard mitigation planning. States, Tribes, territories, and local governments now must have an approved mitigation plan in place prior to receiving certain …
Homeland Security: Engaging The Frontlines - Symposium Proceedings, George H. Baker, Cheryl J. Elliott
Homeland Security: Engaging The Frontlines - Symposium Proceedings, George H. Baker, Cheryl J. Elliott
George H Baker
The rise of the American homeland security endeavor under the leadership of the new Department of Homeland Security has been heralded by several major national strategy documents. These documents have served to organize efforts at top levels within the government and industry. However, the national strategy guidance is not getting to many organizations and people at the grass-roots level who can make the most difference in preventing attacks, protecting systems, and recovering from catastrophic events, viz. the general citizenry, private infrastructure owners, and local governments. To better understand grass-roots issues and solutions, James Madison University, in cooperation with the Federal …
Biochemical Characterization Of The Major Sorghum Grain Peroxidase, Mamoudou H. Dicko, Harry Gruppen, Riet Hilhorst, Alphons G. J. Voragen, Willen W. H. Van Berkel
Biochemical Characterization Of The Major Sorghum Grain Peroxidase, Mamoudou H. Dicko, Harry Gruppen, Riet Hilhorst, Alphons G. J. Voragen, Willen W. H. Van Berkel
Pr. Mamoudou H. DICKO, PhD
Velocity Imaging For The Liquid–Gas Interface In The Near Field Of An Atomizing Spray: Proof Of Concept, David L. Sedarsky, Megan E. Paciaroni, Mark A. Linne, James R. Gord, Terrence R. Meyer
Velocity Imaging For The Liquid–Gas Interface In The Near Field Of An Atomizing Spray: Proof Of Concept, David L. Sedarsky, Megan E. Paciaroni, Mark A. Linne, James R. Gord, Terrence R. Meyer
Terrence R Meyer
We describe adaptation of ballistic imaging for the liquid core of an atomizing spray. To describe unambiguously the forces that act to break apart the liquid core in a spray, one must directly measure the force vectors themselves. It would be invaluable, therefore, to obtain velocity and acceleration data at the liquid-gas interface. We employ double-image ballistic imaging to extract velocity information through the application of image analysis algorithms. This method is shown to be effective for liquid phase droplet features within the resolution limit of the imaging system. In light of these results, it is clear that a three- …
Catalyzing Mass Production Of Solar Photovoltaic Cells Using University Driven Green Purchasing, Joshua M. Pearce
Catalyzing Mass Production Of Solar Photovoltaic Cells Using University Driven Green Purchasing, Joshua M. Pearce
Joshua M. Pearce
Preparation Of Conducting Polyaniline/Nylon 6 Blend Fiber By Wet Sppinning Technique, A Mirmohseni, D Salari, Reza Nabavi
Preparation Of Conducting Polyaniline/Nylon 6 Blend Fiber By Wet Sppinning Technique, A Mirmohseni, D Salari, Reza Nabavi
Seyed Reza nabavi
No abstract provided.
Controlled Generation Of Hard And Easy Bayesian Networks: Impact On Maximal Clique Size In Tree Clustering, Ole J. Mengshoel, David C. Wilkins, Dan Roth
Controlled Generation Of Hard And Easy Bayesian Networks: Impact On Maximal Clique Size In Tree Clustering, Ole J. Mengshoel, David C. Wilkins, Dan Roth
Ole J Mengshoel
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. The results are relevant to research on efficient Bayesian network inference, such as computing a most probable explanation or belief updating, since they allow controlled experimentation to determine the impact of improvements to inference algorithms. The results are also relevant to research on machine learning of Bayesian networks, since they support controlled generation of a large number of data sets at a given difficulty level. Our generation algorithms, called BPART and MPART, support controlled but random construction …