Life is after all a recursive summation, indeed.     Let's do some Statistics!

Department of Civil and Environmental Engineering (CEE)
Kaufman Hall Room 135
Frank Batten College of Engineering and Technology
Old Dominion University
Norfolk, Virginia 23529-0241, USA
Tel) (757) 683-3753
Fax) (757) 683-5354


  Context
 Prologue
 Project Proposal
 Report Elements
 Report Format
 Previous Projects
	
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One of requirements for this course is that each student conducts a small-scale statistical design/analysis project related to a research topic(s) in one's field of study, i.e., water quality, structural, geotechnical, water resources, coastal, modeling, sampling, lab experiemnt, etc. and submit a full written Final project report.

Idea is that by conducting a small-scale statistical/experimental design class project on your research topic(s), you can


  • Really learn about class topics by actually using them to solve real-world problems/designs,

  • Develop the very problem/idea/concept from this project into your own dissertation/thesis/project research component(s), and

  • Practice and apply similar methodology/technique(s) in your own dissertation/thesis/project research,

This would be tremendously benefitial for your research activities. (see some examples of previous project topics)


Regardless of the topic, a project would contain one or more elements of ;

  • Proper problem conceptualization and partitioning of hypotheses
  • Test of Hypothesis (z-, t-, F-, chi-square-tests, ANOVA, nonparametric)
  • Comparison of Mean/Variance of sample groups (grouped t-, F-tests)
  • Regression analysis of samples/Correlationship
  • Field sampling strategy using Completely Randomized (CR)/Randomized Complete Block (RCB)/Latin Square/Factorial designs
  • Normality and Nonparametric test of sample data


If you have a difficulty in deciding/selecting a topic, 
please make an appointment and consult with me as soon as possible.
Remember, procrastination, by its nature, would never improve the situation.

Analyses and treatment of your project sample data should be done by using SAS or other statistical softwares, but not by hand. Use of SAS is highly recommended.

Each student is required to submit a full written Final Project Report (no hardcopy, single PDF file report) for one's project. Final report deadline is due by May 2 (Friday) by 5:00 PM or earlier, via Canvas/Assignments .

Be serious about the deadline -- if it is not that serious, people wouldn't put the word 'dead' in the first place. Late project report submission will be accepted with a 30% deduction, i.e., your report will be graded based on a maximum point of 70/100.

CEE 700/980 Course Timeline CEE 700/980 Course Timeline

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Project Proposal

Eschew obfuscation.
-- Groucho Marx




 
Each student is required to submit one-page project proposal by March 18 (Tuesaday) class. A project proposal should include following core components based on your preliminary research and literature reviews;

  1. Title of your project
  2. Project Conceptualization (Why)
  3. Project Objectives (What)
  4. Study site or topic/Source of data (Where/When/What types of data)
  5. Proposed procedures and methodologies for the project (How)
  6. Projected audience of your project report (Who)
  7. (realistic) Timeframe -- use a Gantt Chart format

Project proposals will be returned with (possible) comments/suggestions.

Also, project progress report (optional) is due on April 8 (Tuesday) class. In your progress report, reiterate project objectives and clearly state on the Gantt Chart the levels of progress made since your project starting date.
 

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Final Report Core Elements
 
	
Download Microsoft Word File Template for the Project Report (Microsoft Word; 80 KB)

Final Project Report is due by May 2 (Friday) by 5:00 PM or earlier, via Canvas/Assignments. All submitted final reports will be screened by Plagiarism Check software.

A written project report, in single PDF format (no hardcopy report) should include following core components;

  1. Title of your project
    (in the Cover page)
    Title should be concise and self-explanatory. Be specific. Vehemently avoid an ambiguous or run-on title. 15 words maximum.

  2. Course name, current Semester and Year,
    Student name, ODU ID

    (in the Cover page)
    In the same cover page

  3. Abstract
    (in the second page - Abstract and Keywords)
    In the second page. Should include a brief and succint statement of the problem, objective, hypothesis, test method(s), and final conclusion. 300 words maximum. If you can't summarize your project within 300 words, chances are that probably you're not quite sure what you did.

  4. Keywords
    (in the second page - Abstract and Keywords)
    Right below the Abstract section. Five keywords maximum. Use following format;

    KEYWORDS: Total Suspended Solids (TSS); Multiple mean comparison; Factorial design; Seasonal influence

  5. Table of Contents
    (in the third page)
    Include correct page numbers for each section. Also list Appendix and SAS output if there's any.

  6. Introduction/Background of your project topic
    (Introduction section)

    • Clearly disclose your problem conceptualization with a solid rationale. You should be able to show your genuine interest in your project topic why you choose it. Avoid such problem conceptualization that was defined retrospectively to fit your methodology/technique.

    • Explain why statistical analysis and experimental design of sample data were necessary/ideal for solving your problem.

    • Literature review on similar studies done previously (if there's any -- not confined only to statistical studies) Were there any previous study/investigation conducted on the same or similar problem? If there were, what methods were used? (i.e., statistical? mathematical? experimental, etc.?) List all such references at the Reference section in your report using proper formats. ( see below for the format guideline)

    • Provide detailed background information of your study site/data.

  7. Project Objectives and your Hypotheses. (Why & What do you want to test/prove?)
    (Objective and Hypothesis section)

    • Bottomline is that you should know exactly why and what do you want to test/analyze in your project to solve/design what, regardless of the scale of problem. (i.e., proper and correct problem conceptualization)

      If you are hazy in these 'Why' and 'What' elements, your project would become either a never-ending organizational disaster that will fizzle without a fruition or a mere technical charade with no substance (such as merely comparing C.T. for the sake of comparison with no apparent reason or benefit).

    • Use bullets or numbers to list objectives. Get to the point and stop beating around the bush.

    • For expressing hypothesis, use the standard notation of H0 and Ha. Be concise and succint. If you can not express your hypothesis clearly, you may not yet clearly understand what you need/want to test.

    • A single hypothesis does not have to be complex and contain all elements of the problem. Start with a simplest, specific hypothesis, and if necessary, further build into more eleborate one. Another approach is to define a main hypothesis and "spawn" subsequent/subjugated hypotheses in a succession (either linear or parallel or both) if necessary.

    • Remember, no matter how complex the problem might be, you should test a hypothesis on a very specific element one at a time. A poorly defined hypothesis will induce more confusion and ambiguity than you'd ever imagine.

  8. Source of sample data
    (Data section)
    Where/When/What types of data did you get and use in your study? Why do you think that particular data source is adequate and valid? Why not others? Make it sure to disclose the source of data used in your project in a utmost detail.

  9. Validation of data distribution (i.e., is it normal? If not, what should be done?)
    (Data section)
    This is an extremely important element of any statistical analysis project, and should be validated in the first place. Shapiro-Wilk test and Normal probability plot (via UNIVARIATE procedure) are mandatory. Be sure to attach UNIVARIATE listing in your report.

  10. Pre-filtering of sample data
    (Data section)
    If and only if you did any - provide clear justification and rationale on why and how you did that based on what.

    Keep in mind that the purpose of pre-filtering is to identify and remove extreme outliers, if there is any, that would skew the truth in your sample (and subsequently, your analysis results on the pop.). If there is no extreme outliers, no need for pre-filtering. Conversely, mild ouliers should not be filtered out since mild outliers are still representative of the pop.

  11. Statistical Procedures and methodologies used in your project
    (Methodology section)
    Must clearly state assumptions and limitations of each procedure/method if theres any.

  12. Actual analysis
    (Analysis section)
    You can use either SAS or other softwares (i.e., Excel, MiniTab, SPSS, etc.) or both for the analysis. Always provide the p-value from your anaylsis result. Be sure to attach printouts in the Appendix.

  13. Your interpretation and conclusion
    (Discussion and Conclusion section)

    • By far, the most important part of your report, of course.

    • Make it sure that use/reiterate original terms/names/units of the project topic in your conclusion. Never state your conclusion in such a fashion that "...as a conclusion, the null hypothesis was rejected...."

      Keep in mind that at this juncture, the readers usually do not remember what the original hypothesis was, and such statement as "...null hypothesis was rejected...." does not mean a thing to your readers. Talk to and spell it out for your readers, not to yourself. I.e., re-iterate your initial problem conceptualization or problem setting, and 'connect' your conclusion back to the original problem setting.

    • Also, always express your conclusion in forms of recommendation for possible future actions. Finding whether a condition is right or wrong is one thing. But good analysis should also be able to suggest a way to correct/obviate the current problem. (this is exactly why you did your project for)

  14. References
    (References section)
    Include only ones that were actually cited in your report. Internet website/webpage are not citable and should not used "as is" references -- find the correct reference/source that the webpage was based on, and refer them instead. One exception is the website/webpage address where you may have obtained your sample data from. (usually government sites such as USGS, NOAA, NWS, EPA, etc.) Use correct formats ( see below for the format guideline)

  15. Appendix and SAS Source/Output
    (Appendix and SAS Source/Output section)
    SAS (or any other programs) outputs from your methodology/analyses. Make it sure to include the SAS source code(s) for the output(s). Clearly mark your interpretive comments directly on each page so that your logical flow foward the final conclusion can be interpreted clearly.

    Use Monospace fonts such as Courier for format/align SAS sources and outputs.
    	
  16. Your final report should be submitted in single PDF file that contains;

    • Final Report

    • Data that used in your project -- should be included in your Final Report under Data section.

    • SAS source code(s) and listing files -- should be included in your Final Report as Appendix. Be sure to use monospaced Courier or Courier New font for SAS source and listing for readability.

      Be sure to name your final report PDF file using following convention;

      ExpDesign_sp2025_FR_[Last Name].pdf

      For example, a final report by John Adams would look like

      ExpDesign_sp2025_FR_Adams.pdf

      Remeber, I'll have 15+ final reports all at once and will not be able to tell which is which if you do not put a filename correctly.

	
The project report grading will be based on the problem conceptualization, assumption and limitation, correctness of the procedures, thoroughness of analysis, correct and objective interpretation/conclusion/recommendation.

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Final Report Format
   

Download Microsoft Word File Template for the Project Report (Microsoft Word; 80 KB)

In regard to the project report format, following guidelines shall rigorously be used;

  1. No smaler than 11-point San Serif font (i.e., Times Roman or similar font) with 1.5 line spacing, justified with at least 1-inch margins at top, bottom, and sides.

  2. Do not number the Title page. However Abstract and Table of contents pages should be numbered in the bottom, aligned center using lowercase roman numerals (i.e., i, ii, iii, etc.).

  3. Each page after the Table of contents page should be numbered properly in the bottom, aligned right using your last name and numeral combination. (i.e., Yoon 1, Yoon 2, and so forth). You don't have to number Appendix and SAS Output section.

  4. Use correct spelling, punctuation, grammar, and syntax. Spelling and hyphenation of compound words follow the unabridged Webster's Third New International Dictionary.

  5. Figures and Tables should be placed in text body, not in separate pages or Appendix. A title for a Figure should be placed under the Figure, and a title for a Table should be placed over the Table with appropriate Figure/Table number.

  6. If you're directly listing any computer (partial) output such as parts from SAS Listing file(s), use Courier font (or similar) for the listing. Courier font is a monospace font and will display columns and spaces with a correct proportion.

  7. Final conclusion in the Discussion and Conclusion section should be a single paragraph (150 words or fewer) stating the nature of the problem and summarizing its important conclusions. If you can't summarize within 150 words or less, then it would be very likely that you're not quite sure what you did. In such case, check your hypothesis again.

  8. There is no page limit for your final report. However, keep in mind that a good report is always succint and to the point. Verbose, bloated and disorganized reports usually incur more confusion than what is already presented in the problem itself.

  9. "I" is boring, avoid starting sentences using terms such as "I" or "My." Also avoid gender-specific words such as "he," "she," "his," "her," and "hers." Instead, use words such as "the author," and "researcher" for the objectivity.

  10. Abbreviations are like Janus -- meant to help clarifying yet could introduce more confusion. If you are using an abbreviation, you should give a full name/title/description when you first introduce the abbreviation. Hereinafter, you can use the abbreviation as many times as desired.

  11. For reference(s) if you used any in your main body of the report (i.e., not in References section but in Introduction/Background, Data, Methodology, Analysis and Discussion and Conclusion sections), use complete and accurate reference format. Omissions, discrepancies in the spelling of names, errors in titles, and incorrect dates must be avoided. (think why you put references in your report in the first place) Do not put references in footnote nor 'numbered' reference index.

    For multiple authors, use following format;

    single author (Alerich, 2011)
    two author (Marks and Bormann, 1985)
    more than two authors (Megahan et al., 2009)
    multiple references -- start from recent one (Alerich, 2011; Megahan et al., 2009; Marks and Bormann, 1985)
    the same author with multiple references -- start from recent one (Alerich, 2011;2010;2009a;2009b;2007)

  12. For listing reference(s) in the References section which should be at the end of your report, use standard format shown at the bottom of this page. Omissions, discrepancies in the spelling of names, errors in titles, and incorrect dates must be avoided.

    In case that if there's more than one authors for a reference, the proper convention is;

    Last_name(1), Initials(1), Initials(2), Last_name(2), Initials(3), Last_name(3), . . . and Initials(n), Last_name(n), (Year), Title, Source, Vol.(No.):page-page.

    where 1=first author, 2=second author, and so forth to 'n'th author.

    single author Alerich, J.K.
    two author Marks, W.L. and M.S. Bormann
    three authors or more more Megahan, D.D., M.S. Bormann and J.K. Alerich

    See more reference examples below.

  13. Internet webpages are not regarded as legitimate references. If you'd like to refer material(s) that you found in Internet, identify the original source and author(s) information, then refer it instead of merely listing URI(s) or webpage address(es). Else do not use them (=URI) in your references.
    
    
    
    
    
    
    Standard Formats for References section

    Abstract
    Yoon, J., (2015), Optimal Site Characterization and Selection Criteria for Oyster Restoration using Multicolinear Factorial Water Quality Approach, General Oceanography II, OS31A-1981, Am. Geophysical Union (AGU).

    Book
    Montgomery, D.C. and G.C. Runger, (2014), Applied Statistics and Probability for Engineers, 6th Ed., John Wiley & Sons, ISBN: 978-1-118-53971-2.

    Book Chapter
    Yoon, J. (2007) Chapter I. Introduction, Application of GIS Technologies in Port Facilities and Operations Management, Wright, N.T. and J. Yoon, Ed.,`ASCE Technical White Paper, ASCE Ports and Harbors Committee/COPRI Committee, GIS Subcommittee, American Society of Civil Engineers (ASCE), Reston, Virginia, ISBN: 0784408696.

    Journal Article
    Park, K. and J. Yoon, (2015), Monitoring for Spatiotemporal Estuarine Chlorophyll using MODIS and In-situ Characteristics, Journal of Environmental Engineering (JEE), American Society of Civil Engineers (ASCE), J. Environ. Eng., 10.1061/(ASCE)EE.1943-7870.0000928, 0401500.

    Proceedings and Conference Papers
    Shahvari, A. and J. Yoon, (2014), Comparative Study on Advective-Dispersive Mixing Plume Characterization Models for Estimating Spatiotemporal Brine Dilution from Desalination Process, In 2nd Annual Symposium on Desalination and Water Reuse, Concentrate Management Session 1, 2014 ASCE EWRI Congress, Portland, OR, June 1-5, 2014.

    Report
    Yoon, J., (2008), Calibration of a Three-Dimensional, Numerical Hydrodynamic Model of the Mattaponi Tidal Estuary, Virginia , City of Newport News, Grant No. 781041 & 781049.

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Example of Previous Project Topics
 
Coastal

  • Evaluating of spatial variability in sand grain size for the beach nourishment project, Virginia Beach, VA

  • Nonparametric test of wave heights measured at two different wave gage stations

  • Prediction of wave height based on metrological data at Duck

  • Grain size analysis at Dam Neck Beach profile, Virginia Beach, Virginia

  • Multiple Least-Square Regression Analysis for the Significant Wave Height as Determined by the Air Pressure

  • Analysis of Dredge Quantities at Rudee Inlet, Virginia Beach, Virginia

  • Atlantic Ocean Hurricane Deaths and Damages on the United States Mainland in the 20th Century

  • Feasibility and Effectiveness of Three Wave Power Devices off the Coast of Virginia

  • Comparison of Mean Sea Level Trend at Sewell's Point, VA, Kiptopeke, VA and Duck, NC from 1980-2010

  • Analysis of Tidal Data to Determine Sea Level Trends

  • Analysis of Wave Data to Assess Evidence of Sea Level Rise

  • Analysis of Mean Range of Tide from 1960-2011 at the Sewell's Point, VA Tidal Station

  • Determination of Closure Depth for the Beach Profile at Cape Henry, Virginia Beach, Virginia

  • Modeling and Forecasting Sea Level Rising in Chesapeake Bay

  • Analysis of Theorized Accelerated Sea Level Rise in Norfolk, Virginia

  • Analysis of Normality and Mean Sea Level Rise at Sewell's Point, Virginia

  • Multiple Means Comparison of Coastal Wave Height Analysis

  • Analysis of Factors Contributing to Typhoon Intensity

  • Analysis of Coastal Storm Intensity Due to Sea Level Rise

  • Evaluation of Bathing Beach Slope & Contributing Steepness Factors in Cape May, NJ

  • Statistical Analysis of Hurricane Intensity in Hampton Roads

  • Analysis of Sediment Transport Tendencies and Environmental Correlations at Delray Beach, FL

  • Experimental Design of Factor of Safety of Slope Stability Analysis

  • Evaluating the Performance of Two Low-Crested Breakwater Stability Models

  • Analysis of the Spatial Variability in Grain Size Characteristics in Delray Beach, FL

  • Statistical Correlation of Significant Wave Height and Wind Speed in the Boston Harbor

  • Converting Buoy Wave Height Data into Design Wave Heights in Lake Erie

  • Analysis of Variance and Contribution to Ocean Wave Height of Environmental Factors in the Massachusetts Bay

  • Analysis of First Landing Storm Data through Multiple Means Comparison (MMC), Virginia Beach, Virginia

  • Analysis of Tidal Data for Design Water Depths in Hampton Roads, Virginia

  • Comparative Analysis of the Applciability of Multibeam Backscatter Reflectivity and Water Depth for Predicting Seafloor Sediment Type by Coastal and Marine Ecological Classification Standard (CMECS) Description and Mean Grainsize (d50_mm)





Geotechnical

  • Multiple linear regression study on moisture content relationship in Loam soil field sample data, MESA site, MN

  • Comparison of ultimate pile capacity at the Norfolk Naval Station Pier 2 project

  • Verify Normal distribution of cut-off lengths for driven concrete piles

  • Analysis of Pile Driving Criteria at Ft. Story, VA Army Base

  • Analysis of Relationship Among Elastic modulus, Stress and Strain for an Expanded Polystyrene Injected used Tyre Material

  • Statistical Analysis of Relationship between Adhesion Factors (a) of Pile Skin Resistance and Clay Undrained Shear Strength

  • Analysis of Setup in Skin Resistance in Driven Concrete Piles in Hampton Roads

  • Regresstional Model of Working Load for Runway 02/20 at Marine Corps Air Facility Quantico

  • Comparison of two methods of Soil Compaction on Granular Soil

  • A Statistical Comparison on the Effects of Pile Bearing Capacities with Changing Friction Angles

  • Analysis of Normality and Multiple Linear Regression of Undrained Shear Strength of Craney Island Clays

  • Analysis of Groundwater Levels for the City of Virginia Beach with Respect to Surface Elevation

  • Analysis of Compressive Strength of Black Cotton Soil

  • Study on Compressive Strength and Durability of Self-Compacting Self-Curing Concrete

  • Expected Settlement of Micropiles City Ridge Project, Washington, D.C.

  • Analysis of Ground Water Levels, and Contributing Factors, as it pertains to Mine Reclamation Littoral Shelf Design Criteria in Miami-Dade County

  • Comparing Wet and Dry Preparation of Atterberg Limits ASTM D-4318






Environmental ::: 
Water and Wastewater Treatment Processes

  • Use of a peat filter to remove ammonia nitrogen in domestic wastewater

  • pH analysis of Resin Separation Techniques

  • Wastewater effluent coliform levels before and after treatment in a constructed wetland

  • An examination of the relationship between nutrients, TSS and DO

  • Determining the effect of soil type on BOD5 treatment efficiency of a peat bio-filter via statistical methods

  • Constructed wetland aquaculture microbial treatment process for effluent wastewater treatment

  • Removal Efficiency of Ozone and Peroxone for Taste and Odor

  • Use of Second Column of Activated Carbon in TBT Removal Technology of Shipyard

  • Zinc Removal from the granular activated carbon columns in series

  • Analysis of Cryptosporidium Occurrence in Water Treatment Plant Source Waters for Different U.S. Climates

  • Analysis of Normality and Comparison between the Reverse Osmosis for Fresh Water and Sea Water

  • Total Nitrogen Removal from the Nansemond Plant and the Virginia Initiative Plant

  • Determination of a Statistical Correlation between Effluent Biochemical Oxygen Demand Concentration and Selected Monitored Constituants at the Wastewater Treatment Facility of Cape Charles, Virginia

  • Statistical Analysis and Regression Model Development of Phosphorus Water Quality data for Christians Creek in Augusta County, Virginia

  • Multiple/Multivariate Least-Square Regression Model of Wastewater Constituents at a Municipal Wastewater Treatment Plant in Central Virginia

  • Efficiency Comparison of Biotic Processes Removing Perchlorate from Drinking Water

  • Modeling Alum Dose at the Dalecarlia Water Treatment Plant Based on Raw Water Quality

  • Application of Probability Principles in the Design of Treatment Units for Wastewater

  • Evaluating the Potential Inhibition Affect of a Landfill on a BNR Wastewater Treatment Plant

  • Reduction in Ammonia and Phosphate Levels in a Falcultative Pond using Oscillatoria cf. tenuis a Bench Top Study

  • Statistical Analysis on the Biological Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) Reduction by Using Water Hyacinth (Eichhornia crassipes (Mart.) Solm) in the Wastewater Purification

  • Analysis of Normality and Variance of Cyanide Concentration Reduction by Electo-Chemical Oxidation Process

  • Analysis of the Effects of pH and Temperature on Struvite Solubility

  • Comparison of Chlorine Resdiuals in Drinking Water among Hampton Roads Naval Installations

  • Statistical Analysis of Collection System Bioaugmentation's Effect on Nitrogen Removal at Several Full-scale Wastewater treatment Facilities

  • Comparison of Total Phosphorus Removal for Two Biofiltration Strips in Southern California

  • Evaluation of Effectiveness of Ammonia-based DO Control in a Simultaneous Nitrification/Denitrification Process

  • Nonparametric Analysis of 17B-Estrodial Removal Efficiency in Activated Suldge Wastewater Treatment

  • Analysis of Various Factors Contributing to High Wastewater Treatment Plant Flow During Wet Weather

  • Reduction of Nitrite by Anammox -- Statistical Analysis of Anammox Performance

  • Evaluation of Nitrification Inhibition at the Nansemond Wastewater Treatment Plant

  • Statistical Analysis of Normality and Variance of the Relationship between BOD and TOC for HRSD Plants

  • Comparison of Sludge Settleability in A-Stage Wastewater Treatment Systems

  • Analysis of Hydrologic Phenomena and Their Effect on Virginia Initiative Plant Wastewater Influent Flow

  • Analysis of Hydrocyclone Sludge Fractions

  • Quantifying Cyanide Inhibition of Nitrification and Developing Cost-Effective Treatment Processes

  • Statistical Analysis of Sludge Volume Index (SVI) in Relation to External Factors

  • Regression Analysis of Disinfection Conditions at Moores Bridges Treatment Plant in relation to TTHM Concentrations

  • Analysis of Biological Phosphorus Removal in a Sidestream RAS Fermentation Reactor

  • Statistical Determination of Significant Operational Parameters Impacting Effluent Phosphorus Quality in a Pilot Scale Intermittently Aerated Sidestream Bio-P Process

  • Assessment of the Hydrograv® Adapt Variable Height Secondary Clarifier Inlet at HRSD Nansemond Treatment Plant (first application in north america)

  • Statistical Comparison of Batch Testing Methods for Evaluation of Oxygen Kintetic Parameters

  • Efficacy of WWTP Replacement Project for Reduction in BOD5, Charles City County, VA

  • Comparison of Source Water between Two Water Treatment Plants - Lee Hall WTP and Harwood’s Mill WTP, Newport News, Virginia







Environmental ::: 
Water Quality

  • Effect of Lake Gaston pipeline operation on temporal turbidity concentration change at the Pea Hill Arm, Lake Gaston

  • Comparison of Dissolved Oxygen (DO) concentrations in Southern Branch of the Elizabeth River using Duncan's Multiple Range Test (MRT) and t-test

  • A statistical analysis of the seasonal effect on Fecal Coliform

  • Comparison of manganese levels at the City of Portsmouth Pitchkettle Raw Water Pump Station

  • An analysis of seasonal pH values for acid precipitation events bewteen Winter 1990 and Summer 2000

  • Impact of Dissolved Oxygen, Salinity and Water Temperature on Chesapeake Bay Spot Catches

  • Arsenic in Groundwater using Nonparametric Statistics for Comparing Central Tendency of the United States Regions

  • Evaluating the Potent Parameters Affecting TBT Removal by Ozone Treatment using Experimental Design Approach

  • A Temporal and Spatial Study of Enterococci Counts: Huntington Beach, Newport News, VA

  • Comparison of Copper Data from Three Water Systems Data Management vs. Regulations

  • Analysis of Seasonal Dissolved Oxygen Variation and Factors Affecting it by Linear Regression Model

  • Influence of Hypolimnetic Aeration of Lakes Prince and Western Branch on Water Quality

  • Comparitive Study of Chlorophyll-a Analysis by Conventional Spectrophotometric Method and using a Fluoroprobe

  • Multivariate Analysis of Water Quality Measurements of Smith Creek

  • Parameters that Affect Dissolved Oxygen in the Potomac River

  • A Statistical Analysis on Relationship of Dissolved Oxygen with Seven Other Water Quality Parameters

  • Application of Probability Principles in the Design of Treatment Units for Wastewater

  • Developing a Statistical Model for Prediction of Harmful Algal Blooms in the York River, Virginia

  • Statistical Analysis of Virginia Water Quality in the Development of Nutrient Criteria Standards

  • Linear Regression Model for Dissolved Oxygen in the Lower Reach of the Elizabeth River

  • Comparison of QPCR Analysis to EPA Coliform Standards

  • Comparison Study of Dissolved Oxygen Levels in Merrimack River, Massachusetts

  • Algae Growth Evaluation until Exponential Phase using Three Different Nitrogen Sources (Sodium nitrate, Ammonium nitrate and Urea)

  • Water Quality Analysis of Zinc Contamination for Spokane River

  • Nonparametric Analysis of Kepone Concentrations in Fish Tissue

  • Multivariate Analysis of Water Quality Data and Effect of Stream Restoration on Discharge of Smith Creek

  • Bioretention: Randomized Complete Block (RCB) Assessment Model

  • City of Portsmouths Raw Water Reservoirs: Study of Orthophosphate Concentrations and Modeling

  • Analysis of Dissolved Oxygen at Whitehurst Beach

  • Effect of Construction of Outfall Pipe in Lake Holly on Water Quality

  • Establishing relationship between DO, pH, Sulphate, BOD and Temperature in Tongue River, WY using Multivariate Analysis

  • Analysis of Regression of the Copper Concentration in a Water Solution Filtered by Activated Biochar

  • Linear Regression Analysis on Total Suspended Solids and Turbidity using Effluent Data from a Wastewater Treatment Plant

  • Analysis of Aeration as a Mechanism for Fecal Coliform Bacteria Reduction

  • Analysis of Seasonal Coliform Counts for Three Recreational Beaches in Southeastern Virginia

  • Central Tendency Analysis in Seasonal Averages of Nitrogen and Dissolved Oxygen in the James River

  • Hydrological Design Analysis Kingston-Georgetown, Guyana

  • Statistical Analysis of Sanitary Sewer Overflow in Virginia Watersheds

  • Dissolved Oxygen Response on Storm Water Influx to the Potomac River

  • Determination of Severity of Sanitary Sewer Overflows in the Warwick & Hampton River Watersheds

  • Anaylsis of Dissolved Oxygen in the Western Branch Reservoir

  • Fecal Indicator Bacteria (FIB) Percent Exceedance of Fecal Coliform at Lake Ponchartrain Beaches Due to Local Sewage Outfalls

  • Postmine Water Quality Estimation from Overburden Paste Extract

  • Stream Water Quality Parameters That May Serve as UNIQUE Indicators for Carbonate Karst Geologic Setting

  • Background Levels of Arsenic and Iron as Functions of Oxidation Reduction Potential, pH, and Distance from Surface Water





Environmental ::: 
Environmental Assessment and Characterization


  • A statistical analysis of the tidal effect on static water levels at Former Nansemond Ordnance Depot (FNOD), Suffolk, Virginia

  • Correlation anaylsys among TBT, Cu, Zn and DOC in Naval-base Shipyard wastewaters

  • Flow trend and its effect on Total Nitrogen load in the James River

  • Understanding the effects of climatic changes and discharge of the Total Nitrogen concentration in the Lower Susquehanna River

  • Evaluation of Peak Flow Data at the Atlantic Wastewater Treatment Plant

  • Regression Analysis on Water Distribution Data

  • Evaluation of Yields for 3 Different Size Segregation Techniques Applied in the Filtered Sea Water sample particles

  • Analysis of the Correlation between the Source of Domestic Water Supplies and the Incidence of Mortality due to Multiple Myeloma

  • Influence of Temperature, Salinity, pH and DO on Bioaccumulation of Mercury in Estuaries

  • Analysis of E. coli and Fecal coliform Data for the Lynnhaven River

  • Analysis of Normality and Variance of the Pagan River Water Quality Data

  • Comparison of Central Tendency and Dispersion of Fecal coliform Concentration in the Elizabeth River

  • Analysis of Normality of Fish Mortality in the Elizabeth River and the Contributions from Organic Compounds and Heavy Metals

  • Estimation of Major Pollutant and Calcium Variability at Different Locations and in Different Seasons in Hussain Sagar Lake, Hyderabad

  • A Statisical Analysis of CO2 Emissions for Mainland United States

  • Feast or Famine: A Statistical Analysis of the Contributing Factors in the Decline in Submerged Aquatic Vegetation (SAV) Coverage Area at the Mouth of the James River

  • Analysis of Nutrient Concentrations in Collected Street Dirt in Norfolk, VA

  • Determination of a Predictive Model for the Monthly Electricity Use of a Municipal Building

  • Comparison of Polychlorinated Biphenyls in Fish in the Jame River Basin using Nonpairmetric Statistics

  • Analysis of Radiation in Precipitation within California Before and After March 2011 Fukushima Nuclear Powerplant Meltdown

  • Analysis of Environmental Impact Due to Hydraulically Fractured Wells




Environmental ::: 
Biofule and Renewable Energy


  • Optimal Temperature and Residence Time for Maximizing Total Nitrogen in Flash Hydrolysis Hydrolysate from Microalgae

  • Maximization of Final Algal Mass using Nutrients Recycled from Algal Biofuel Proccess Wastewater

  • Evaluation of Hydrothermal Liquefaction of Un-hydrolyzed Solids Produced During Enzymatic Hydrolysis of Corn Stover

  • Evaluation of Country-Specific Factors on Biofuels Productions

  • Analysis of Mariah Windspire Vertical Wind Turbine and Swift Horizaontal Turbine in Low Wind Speed Area

  • Production of Bioffuel (Ethanol)

  • Investigateion of Relationship between Characteristics of Hydrochar and Hydrothermal Liquefaction Operating Condition






Environmental ::: 
Site Remediation


  • Examination of groundwater monitoring data for an organic compound

  • Analysis of Normality and Variance of an environmental risk assessment model

  • Lead contamination analysis as a function of depth and distance at quarters D & C at Washington Navy yard

  • Preliminary remediation goals for site 1 soils at Allegany Ballistic Laboratory Rocket Center, West Virginia

  • Detection of soil contamination

  • Evaluation of the effects of an Light Nonaqueous Phase Liquid (LNAPL) environmental release and partial recovery

  • Statistical Analysis of Heat Enhanced Fuel Oil Recovery - Defense Fuel Supply Point Yorktown

  • Revalidation of Regression: Solid Waste Management Unit 3 Preliminary Remediation

  • Statistical Analysis of the Effectiveness of Enhanced Reductive Dechlorination for in-situ Remediation

  • Remediation of Groundwater Contaminants (PCE & TCE) through Groundwater Substrate Injections: an Environmental Risk Assessment Model

  • Model for Analysis of Central Tendency for Establishing Gross Gamma Scan Derived Concentration Guideline Levels (DCGLscan) for Land Areas during a Radiological Background Study

  • Comparison of Central Tendency and Dispersion for PFOA/PFOS Removal by GAC Filter, Reverse Osmosis, and Ion Exchange




Environmental ::: 
Solid Waste Management

  • Statistical evaluation on solid waste quantification by load count analysis in Bangalore City, India

  • Development of a statistical solid waste management model based on pollution prevention initiatives

  • Analysis of Methods for Treatment and Control of Toxic Heavy Metals in Waste-to-Energy Residues






Structural

  • Comparison of mean 7-day and 28-day flexural concrete strengths manufactured by two local independent sources/Sadler and Tarmac

  • Statistical analysis on compressive strength of cement

  • Process evaluation based on metal coating thickness

  • Regression analysis of Factorization time in MPI/FORTRAN Dense equation solver

  • Statistical compressive strenth analysis: Concrete vs. Fiber Reinforced Plastic

  • Statistical analyses of the effects of slump, air and concrete temperature on concrete strength

  • Statistical Static Behavior Analysis of Noncomposite Concrete Bridge Decks Under Concentrated Loads

  • Statistical Anlaysis of Fracture Stress and Strain in the Heat Affected Zone of HY100 Steel

  • Statistical Analysis of Ultimate Moments Computed from Three National Design Codes

  • Statistical Evaluation of Deflection Prediction for High Strength Concrete Beams by IS 456-2000 and ACI 318-95 Codal Provisions

  • Environmental Durability Evaluation of Externally Bonded Composites

  • Comparison of Bridge Sufficiency Ratings in Hampton Roads, Virginia

  • Performance Evaluation of Steel Ductility at Various Temperatures

  • The Effects of Fire Vs Slenderness Ratios on H-Shaped Fire Resistant Steel Columns

  • Serviceability of FRP (Fiber Reinforced Polymer) Beams

  • Axial Compression Testing of FRP (Fiber Reinforced Polymer) Square & Concrete Columns

  • Analysis of Compressive Strength of a Concrete Column under Eccentric Loading

  • Analysis of Normality and Regression Model of Mix Proportions and Compressive vs. Tensile Strength of Concrete

  • Analysis of Parameters Influencing the Strength of Alumina-Loaded Epoxy

  • Strength Effects of a Thin FRP Plate Epoxy with Kevlar 49 (Aramid), Carbon Fiber (Harness-Satin H5), and Unidirectional Carbon Fiber (T700 Aerospace grade)

  • Analysis of Normality and Regression of GFRP Beam including Retrofitting for Damage Effects

  • Effect of Corrosion on Buckling Capacity of Square HSS (Hollow Structural Section) Columns

  • Analysis of Buckling Capacity of Rectangular Aluminum Columns

  • Effect of Calcium Nitrate on the Compressive Strength of Concrete

  • Analysis of Protective Wood Coating Effects on Moisture Absorption and Breaking Strength

  • Analysis of the Tensile Strength of Polymer-Matrix Carbon-Fiber Composites under the Influence of Varyied Tempuratures

  • Analysis for a Mid-span Deflection of Three Types of Steel Columns Subjected to an Equal Moment at Both Ends

  • Analysis of Concrete Compressive Strength

  • Experimental and Theoretical Study of a Metal Plate Connected Wood Truss

  • Analysis of Normality and Mean of 7-day and 28-day Concrete Compressive Strengths

  • Analysis of Material Properties of Douglass Fir and Southern Pine Specimen

  • A Study of Different Concrete Strength and Design Mixture and Their Effect on the Cost and Durability of Concrete of Two Similar Projects

  • Analysis of the Effect of Lead Dampers in Energy Dissipation in a Hollow Steel Cantileve








Transportation

  • Traffic pattern analysis of Hampron Blvd., Norfolk, VA between North and South Fairway Drives

  • Trip generation relationship for gas station and convienience store multi-use facilities

  • Automobile accident analysis : Relationship between Age and Driving experience for At Fault drivers

  • Statistical Analysis of a Highway Noise system

  • Analysis of Vehicle Accident Rates of Young and Old Drivers to Determine the Regionality of Accident "Proneness" in the Eastern United States

  • Factors of Injury Severity of Automobile Accidents

  • Commercial Vehicle Re-identification - Are Using of WIM and AVC Data Provide A New Approach?

  • Passenger Car and SUV Crashes-Do the Human Factors Play a Vital Role?

  • Investigating the factors that influence injury severity during large truck crashes

  • Analysis of Asphalt-Concrete Pavement Conditions in the Ctiy of Hampton

  • Multiple Least-Square Regression, Roadway Design, Norfolk, Virginia

  • Estimating the Gross Vehicle Weight of Trucks, Using Multivariate Least Square Regression

  • Determinants of Usage of Advanced Traveler Information Systems in Seattle, Washington

  • Determination of Freeway Breakdown and Queue Discharge

  • College Students. Decision to Pay Tolls

  • Incidents Analysis in Urban Freeways

  • Analysis of Factors Effecting Crash Likelihood

  • Analysis of Crash Patterns at Red Light Camera Intersections

  • Analysis of Driver Age on Vehicle Miles Travelled

  • Driver Aggressivity Statistical Analysis and Modeling using Instantaneous GPS Speed Data

  • Can the Built Envionment Lead to Less Travel and Shift to Alternative Modes?

  • Analysis of Normality and Variance of Hampton Roads Bridge Tunnel Closures

  • Midtown Tunnel Volumes Before and After Toll Implementation

  • Analysis of Traffic and Crash Patterns During Seasonal Variation Due to Tourist Influx in Hampton Roads

  • Analysis of the Parking Availability on a University Parking Garage

  • Effects on Vehicular Crash Injuries in Texas regarding Occupant's Age, Seatbelt Use, and Injury Severity

  • Comparison of the Travel Time between Diverging Diamond Interchange and Diamond Interchange

  • Analysis of Precipitation Percentage Snowfall on Traffic Collisions in Norfolk Virginia

  • Cost-Effectiveness of Bridge Approach Guardrail on Low Volume Roads in Virginia

  • Saturation Flow Rate Analysis for Independence and Virginia Beach Blvd Intersection

  • Traffic Volumes in the City of Newport News Before and After Development Improvements

  • Analysis of HRBT (Hampton Roads Bridge Tunnel) Traffic Volume

  • Analysis of Intersection Crash Rate in the City of Richmond

  • Motor Vehicle Fatalities in North Carolina And Virginia from 2005 to 2015

  • Estimating Non-equipped Vehicles between Two Probe Vehicles (from NGSIM Data)

  • Investigation of Irrelevant Covariates in Injury Severity Models

  • Analysis of Normality and Variance of Traffic Volume of High Occupancy Tolled Express Lane Model

  • Mode Choice to School in Virginia

  • Analysis of Virginia Intertstate Crashes relating to Weather Conditions and Age of Driver

  • Crash Risk Factors Related to Single-Vehicle Crashes Involving Elderly Drivers

  • Analysis of Daily Injured Rates according to Motor Vehicle Collisions in New York during the Public Health Crisis of COVID-19

  • Enhancing Road Safety: Assessing the Impact of New York City's 24/7 Automated Speed Enforcement Program







Water Resources

  • Frequency analysis of tropical storms and major hurricanes since 1921

  • Estimating new equation for Egytian channels using regression analysis

  • Statistical analysis of materials storage area, Richmond Flood Protection, Richmond, Virginia

  • Statistical analysis of discharge/storage relationship for runoff hydrograph

  • Determining the Effect of Storm Front Type on Snowfall Totals in Newark, New Jersey

  • Analysis of Normality and Completely Randomized Design of the Variables Measured at Millers Creek, Ann Arbor, MI

  • Evaluation of Constraint-Handling Techniques for Genetic Algorithms using Wilcoxon Rank Sum Test

  • Evaluating Performance of Constraint Handling Techniques using Factorial Experimental Design

  • Analysis of Pump Station Runtimes using Multiple Means Comparison and Nonparametric Statistics

  • Regression Model of 100 year storm's flooding at Lake Sabbah determined by Land-use

  • Analysis of Global Temperature Trends over the Last Century and Their Impact on Tropical Cylone Severity in the Atlantic Basin

  • Analysis of Water Table Fluctuation of Virginai Beach City during 2007 by Multiple Linear Regression Analysis

  • RCB Design for Guiding Sewer System Condition Assessment

  • Hydrologic Modeling and Best Management Strategies for the Mattaponi River Watershed; Developed using HSPF

  • Examining the Use of SCADA Data for Capacity Analysis of a Sanitary Sewer Collection System

  • Capacity Estimation of Reservoirs, Mia and Yor Basins in Ghana

  • Comparison of the Central Tendencies of Annual Precipitation in Norfolk and Suffolk

  • Best Hydraulic Section -- Performance Evaluation of Optimization Techniques

  • Analysis of Seasonal Precipitation in Norfolk, Virginia from 1960-2010

  • Effect of Artificial Groundwater Recharge on the Groundwater Level in Orange County, California

  • Analysis of Plant Growth in Stormwater Detention Basin Sludge

  • Analysis of Normality and Central Tendency of Green and Asphalt Roof Runoff Volumes

  • Statistical Analysis of Rainfall and Pump Station Inflow Data

  • Analysis of Normality and Variance of Force Main Regression Model

  • Analysis of Normality and Variance of a James River Flow Model for Flow Augmentation Justification

  • Analysis of Normality and Variability of Mean Sea Level at Sewell.s Point, VA

  • Analysis of Total Precipitation in Winter at Lake Drummond from 1970-2016

  • Evaluation of Stormwater Best Management Practices

  • A Atatistical Analysis on the Influence of Runoff Method and Time of Concentration on Peak Discharge

  • Comparison of Change in Runoff Yield of Sub-basins in Mathews County, VA vs. Infiltration Variables

  • Analysis of Precipitation in Norfolk, VA

  • Predicting Nuisance Flooding Conditions in Ventnor, New Jersey

  • Analysis of Small Craft Advisory Off of Coast of Virginia Beach, VA from 1985-2015

  • General and Seasonal Anticipated Rainfall Estimate based on 95% Confidence Interval

  • Changes in Probability of Direct Hurricane Impact in Various Areas Along the Gulf Coast - Have past Probabilities Changed with Climate Change?

  • Analyzing and Comparing the Level of Damages in Jamaica in relation to Storm Characteristics

  • ARMA, ARIMA, SARIMA, and ARIMAF Models performed in a Small Watershed, Page County, Virginia





Operation Research

  • Bid cost validation using a baseline confidence interval of the normal framing project cost

  • Comparison study of Newport News Shipbuilding Apprentice School student body's GPA distribution with and without athletic students

  • A comparison of contract change order rates between new and renovation constructions

  • Anticipated cash flow analysis of the City of Norfolk Capital Improvement Projects

  • Mean peak velocity response of a submarine model subjected to a underwater explosion attack

  • Statistical analysis of Automatic Reboot Circuitry test data

  • Comparison study on the muzzle velocity of .45 ACP centerfire ammunitions

  • Statistical analysis of line rejection of step shaft

  • Evaluatory study on a short-term aerobic training program

  • Statistical analysis on books in use at Old Dominion University Library

  • Statistical evaluation of dosimetry data for the chest, upper arms and upper back

  • Effectiveness of the Street Law program

  • Linear regression study of energy cost with size of plan

  • A statistical analysis of the monthly bills of a facility

  • Biggest and the Best -- a multivariate least-square regressional analysis on Army Physical Fitness Test (APFT), Fort Eustis, VA

  • Comparison of bird abundance mean at 303 Barcelona Drive, Chesapeake, Virginia to project feederwatch data

  • "Ring of Fire" Evaluation

  • Linear Least Square Regression model applied to static neutralizers

  • Comparison of import & export trading partners of Virginia Port Authority (VPA)

  • Analysis of Normality and Variance of Baby Sullivan's Weight and Height

  • Analysis and Evaluation of Quality Assurance Procedures for Subsafe Repairs

  • Comparison Study of the Impact Energy of Steel vs. Tungsten vs. Lead Shot using 12 Gauge Shotgun Shells (#4 Waterfowl Loads)

  • Analysis of Mosquito Distribution by Poisson's Distribution and Bayes' Theorem

  • Roof Types Classification on the Basis of Ortho-photo and LiDAR Elevation Data in Urban Area

  • Do Cities Deserve All of the Attention? A Nonparametric Test of Earthquake Magnitude by Location.

  • Fatorial Design and Wine Brewing

  • Analysis of the Weight and Length of Fish to Check for Isometric Growth using Linear Least Square Regression

  • Analysis of Incentives on Test Performance

  • Analysis of Oil Spills in the Unite States Coast Guard Marine Safety Office Hampton Roads Area of Responsibility

  • Analysis of the Effectiveness of VPP Implementaion on Industrial Safety

  • 2004/2005 European Champions League Soccer Tournament

  • Analysis of Normality and the Generation of a Flexural Strength Assessment Model

  • Statistical Analysis to determine the Condition of a Sanitary Manhole

  • Analysis of Maximum Curie Level Based on Shielded Radiation Level Surveys

  • An Analysis of Regression Coefficients Recycling Aluminum Cans Regression and General Linear Model (GLM)

  • Quantitative Evaluation of X Incorporated's Risk Assessment Model

  • Simulated Microgravity Activates Apoptosis and nf-kB in Mice Testis

  • Factors Contributing to the 2008-2009 Cholera Outbreak in Zombabwe

  • Evaluating Length - Weight Criteria to Determine the Age of Patagonian Toothfish (Dissostichus eleginoides) using Statistical Methods

  • Linear Regression Study of Cost of Cereals with the Sugar Content in the Cereals

  • Analysis of the Effect of Demographic Location on Product Pricing at Rite Aid Pharmacy

  • Analysis of Compressibility Strength of Oyster and Clam

  • Statistical Modeling of Afghanistan's Opium Economy

  • Analysis of the Effect of Demographic Location on Product Pricing at Rite Aid Pharmacy

  • Regression Analysis of 2009 MLB season

  • Analysis of Normality, Variance and Worldwide Distribution of Crude Steel Production

  • The Economic Value of Recycling in the City of Norfolk

  • Comparison Study of GDP Growth of India and China, and Regression Analysis of Agricultural Produce and GDP Growth in India

  • Analysis of Navy Crane Center Cost and Labor Estimation for Procurement of Cranes

  • Determination of the Accuracy and Consistency of Multiple Epoch 4B Digital Ultrasonic Flaw Detectors

  • A Study on the Length of Childbirth Labor

  • Analysis of Port Efficiency Measures

  • Analysis of Factors Affecting Ammunition Velocity

  • Linear Least-Square Regression Analysis of Wins by Team for the 2011 Major League Baseball Season

  • Analysis of Normality and Variance of the Ultimate Tensile Strength of Rubberbands

  • Gas Prices in the Four Major Regions of Virginia and Influencing Factors

  • Analysis of the Effect of Certain Environmental Factors on Pistol Accuracy

  • Analysis of Normality and Regression of Profit for "Taco Bell" at Newport News, VA

  • Analysis of Normality and Nonparametric Comparison of Home Estimating Websites

  • Comparitive Examination of HDI Growth of India and China with Correlation Analysis of Schooling and HDI in India

  • A Statistical Analysis on the Influence of Ambient Temperature and Wind Speed on Relative Humidity

  • Analysis of Normality and Variance of Running Efficiency as a System

  • A Nonparametric Statistical Analysis of ODU Students Taste Preferences of Coca-Cola vs. Pepsi

  • The Effect of the Original Gravity and Average Fermenation Temperature on the Final Gravity of a Typical Pale Ale

  • Analysis of Normality and Association between Grade Point Average, Sleep, Weight, and Physical Activity of Fifth Graders

  • A Study on Influential Variations on Dart Throwing Accuracy

  • Analysis of Police Deaths in Cities with Similar Population Sizes in the United States

  • Effects of Nutrient Percentage on Annual Crop Yield

  • Optimization of Parameters of a Condenser Cooling Fan

  • Statistical Correlation and Significance of ACEX Data

  • Rate of Return Analysis: Material vs. Length vs. Diameter

  • Analysis of Normality and Variance of Lighting Type Effects on Growth of Coral Montipora capricornis

  • Analysis of Cost Growth vs. Schedule Slippage within Naval Facilities Engineering Command (NAVFAC)

  • Analysis of three components using Completely Randomized Design (CR) with Multiple Means Comparison (MMC); Duncan Multiple Range Test (MRT)

  • Effect of Various Statististics on Win Percentage for Major League Soccer Teams

  • Statistical Analysis of Borrow Pit Efficiency and Cycle Time

  • Analysis and Comparison Study on the Muzzle Velocity of 9 mm Ammunitions

  • Cost Estimating in Linear Utility Projects: an Alternative Approach to Engineer’s Estimates (EE)


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