Engineering Commons^™

Business Intelligence In Environmental Reporting Powered By Xbrl, Jiří Hřebíček, Michal Hodinka, Michael Ŝtencl, Oldřich Trenz

International Congress on Environmental Modelling and Software

The paper discusses several critical points of the whole concept of Business lntelligence (Bl) approach to environmental reporting powered by XBRL. First, and most important, is the usage of structured data delivered via XBRL. The main profit on usage of XBRL is the optimization of the Extract, Transform and Load (ETL) process and its combination commonly used best practices on data warehouse models. The whole Bl workflow could be moved further by additional data quality health checks, extended mathematical and logical data test, basics of data discovery and drill-down techniques. The state of the art on the XBRL level and …

Investigating Possible Climate Change And Development Effects On Water Quality Within An Arid Catchment In South Africa: A Comparison Of Two Models, Andrew R. Slaughter, Sukhmani K. Mantel, Denis A. Hughes

International Congress on Environmental Modelling and Software

The water quality degradation of fresh water resources has become an increasingly urgent global problem which is predicted to be exacerbated by future development and climate change. Since water quality is to a large extent driven by water quantity, it is useful for a model to incorporate a rainfall-runoff component (natural hydrology), reservoir storage, return flows and abstractions (systems modelling), and a water quality component. One such model that meets these requirements is the Water Evaluation and Planning (WEAP) Model. During 2012, WEAP was applied to the Buffalo River within the Eastern Cape, South Africa, to investigate the effect on …

Extending Existing Models To Capture Vegetation Response To Extreme Weather Events: The Modextreme Project, Gianni Bellocchi, Francisco J. Villalobos, Marcello Donatelli, Ole B. Christensen, Oscar Rojas, Roberto Confalonieri, Ioannis N. Athanasiadis, Irina Carpusca, Claudio O. Stöckle

International Congress on Environmental Modelling and Software

Extreme weather events are combinations of meteorological drivers that exceed certain thresholds and occur with low frequency, negatively impacting human living conditions and economic systems including agriculture. The three-year European project MODEXTREME (started on November 1st, 2013) aims at improving the predictive capability of biophysical crop and grassland simulation models under extreme weather conditions (mainly high/low temperatures and water deficit/excess). Existing modelling solutions can be improved with re-usable software libraries to capture extreme weather impacts. Estimates from existing and new modelling solutions will be compared on a variety of datasets and evaluated with respect to medium-term trajectories of future climate …

Discovering Comprehensible Hydrogeological Profiles In The Margarita Island's Aquifers Including Post-Processing In A Data Mining Process, Conti Dante, Gibert Karina

International Congress on Environmental Modelling and Software

Groundwater wells are one of the most important water resources in the world. Control and management of these resources are of high importance due to the implicit need of water as the main resource for life. This research focuses on a hydrogeological analysis with clustering, which is one of the most popular data mining methods, including In the classical data mining scheme, last step corresponds to the effective production of knowledge. In this paper, special focus on that part is done, by means of post-processing tools. The main goal is to discover prototypical profiles from the acquifer Pedro González in …

Operational Flash Flood Warning Systems With Global Applicability, Theresa M. Modrick, Rochelle Graham, Eylon Shamir, Robert Jubach, Cristopher R. Spencer, Jason A. Sperfslage, Konstantine P. Georgakakos

International Congress on Environmental Modelling and Software

The availability of global meteorological information (observations and forecasts) and widespread digital data on the land surface now affords the use of hydrometeorological modelling in an operational environment to provide numerical guidance for local forecasts and warnings of flash flooding by meteorological and disaster management agencies, Flash floods are among the deadliest natural disasters and can have significant impact on the natural environment and infrastructure, Working with national meteorological and hydrologic services, the Hydrologic Research Center has developed and implemented regional software systems to convey remotely sensed data and guidance products for rapid decisions regarding flash flood warnings, The systems …

High-Speed Mobile Networks For Modern Farming And Agricultural Systems, Santos Najar

Master's Theses

ABSTRACT

High-Speed Mobile Networks for Modern Farming and Agricultural Systems

J.Santos Najar-Ramirez

High-speed mobile networks are necessary for agriculture to inventory individual plant health, maximize yield and minimize the resources applied. More specifically, real-time information on individual plant status is critical to decisions regarding the management of resources reserved and expended. This necessity can be met by the availability of environmental sensors (such as humidity, temperature, and pH) whose data is kept on storage servers connected to static and mobile local area networks. These static and mobile local area networks are connected to cellular, core and satellite networks. For …

Privacy Preserving Statistics, Oluwakemi Hambolu

All Theses

Over the past few years, there have been an increase in the development and improvement of circumvention tools like Tor and Psiphon. These tools provide an environment for citizens of oppressive regimes to access websites freely without fear of identification, these tools aid democracy activists and journalists in West Africa in using the Internet securely. A similar circumvention tool was developed by us. This tool circumvents DNS and IP address blocking/filtering, by leveraging technologies developed by criminal botnet enterprises. To improve and maintain the circumvention tool we developed, it is important to quantify the number and country of origin of …

Text Stylometry For Chat Bot Identification And Intelligence Estimation., Nawaf Ali

Electronic Theses and Dissertations

Authorship identification is a technique used to identify the author of an unclaimed document, by attempting to find traits that will match those of the original author. Authorship identification has a great potential for applications in forensics. It can also be used in identifying chat bots, a form of intelligent software created to mimic the human conversations, by their unique style. The online criminal community is utilizing chat bots as a new way to steal private information and commit fraud and identity theft. The need for identifying chat bots by their style is becoming essential to overcome the danger of …

A Framework For Synthesizing Agent-Based Heterogeneous Population Model For Epidemic Simulation, Madih Sahar

Open Access Theses

Social interactions play an important role in spread of a disease. In this thesis we propose a probabilistic approach to synthesize an agent-based heterogeneous population interaction model to study the spatio-temporal dynamics of an air-born epidemic, such as influenza, in a metropolitan area. The proposed methodology is generic in nature and can generate a baseline population for the cities for which detailed population summary tables are not available. The joint probabilities of population demographics are estimated using the International Public Use Microsimulation Data (IPUMS) sample data set. Based on the population density and the socio-economic status, the population is divided …

Using The K-Means Clustering Algorithm To Classify Features For Choropleth Maps, Mark Polczynski, Michael Polczynski

Electrical and Computer Engineering Faculty Research and Publications

Common methods for classifying choropleth map features typically form classes based on a single feature attribute. This technical note reviews the use of the k-means clustering algorithm to perform feature classification using multiple feature attributes. The k-means clustering algorithm is described and compared to other common classification methods, and two examples of choropleth maps prepared using k-means clustering are provided.

Agricultural And Water Harvesting Opportunities In Kenya, Via A Crowd-Sourced, Citizen Science Hybrid Paradigm, Benjamin D. Branch, James Tindall, Rosemary Moki, Peter N. Baker, Jai Xu, Elisa Bertino

Libraries Faculty and Staff Presentations

This is potential joint collaborative research between the Purdue University and citizens of Kenya via the Global Engineering Program in the areas of agriculture in water harvesting. Specifically, in the rural part of Kenya, outside of Nairobi, lives can be greatly impacted. Libraries of tomorrow will have global capacity and responsibility to serve all aspects of global citizenry. Herein is one possible Kenyan example.

In partnership with the Tinmore Institute, an International Food, Water, and Energy Security team of experts, such international collaboration with Purdue's Global Engineering program could be quite successful within the areas of agricultural and water security …

Providing Flexible File-Level Data Filtering For Big Data Analytics, Lei Xu, Ziling Huang, Hong Jiang, Lei Tian, David Swanson

School of Computing: Technical Reports

The enormous amount of big data datasets impose the needs for effective data filtering technique to accelerate the analytics process. We propose a Versatile Searchable File System, VSFS, which provides a transparent, flexible and near real-time file-level data filtering service by searching files directly through the file system. Therefore, big data analytics applications can transparently utilize this filtering service without application modifications. A versatile index scheme is designed to adapt to the exploratory and ad-hoc nature of the big data analytics activities. Moreover, VSFS uses a RAM-based distributed architecture to perform file indexing. The evaluations driven by three real-world analytics …

Up-Dating Investigation Models For Smart Phone Procedures, Brian Cusack, Raymond Lutui

Australian Digital Forensics Conference

The convergence of services in Smart Technologies such as iPhones, Androids and multiple tablet work surfaces challenges the scope of any forensic investigation to include cloud environments, devices and service media. The analysis of current investigation guidelines suggests that each element in an investigation requires an independent procedure to assure the preservation of evidence. However we dispute this view and review the possibility of consolidating current investigation guidelines into a unified best practice guideline. This exploratory research proposes to fill a gap in digital forensic investigation knowledge for smart technologies used in business environments and to propose a better way …

Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov

Electrical & Computer Engineering and Computer Science Faculty Publications

In this work, a survey was conducted to help quantify the relevance of nineteen types of evidence (such as SMS) to seven types of digital investigations associated with mobile devices (MD) (such as child pornography). 97 % of the respondents agreed that every type of digital evidence has a different level of relevance to further or solve a particular investigation. From 55 serious participants, a data set of 5,772 responses regarding the relevance of nineteen types of digital evidence for all the seven types of digital investigations was obtained. The results showed that (i) SMS belongs to the most relevant …

Semiactive Virtual Control Method For Robots With Regenerative Energy-Storing Joints, Hanz Richter, Daniel J. Simon, Antonie J. Van Den Bogert

Mechanical Engineering Faculty Publications

A framework for modeling and control is introduced for robotic manipulators with a number of energetically self-contained semiactive joints. The control approach consists of three steps. First, a virtual control design is conducted by any suitable means, assuming a fully-actuated system. Then, virtual control inputs are matched by a parameter modulation law. Finally, the storage dynamics are shaped using design parameters. Storage dynamics coincide with the system's internal dynamics under exact virtual control matching. An internal energy balance equation and associated self-powered operation condition are given for the semiactive joints. This condition is a structural characteristic of the system and …

Effects Of The Factory Reset On Mobile Devices, Riqui Schwamm, Neil C. Rowe

Journal of Digital Forensics, Security and Law

Mobile devices usually provide a “factory-reset” tool to erase user-specific data from the main secondary storage. 9 Apple iPhones, 10 Android devices, and 2 BlackBerry devices were tested in the first systematic evaluation of the effectiveness of factory resets. Tests used the Cellebrite UME-36 Pro with the UFED Physical Analyzer, the Bulk Extractor open-source tool, and our own programs for extracting metadata, classifying file paths, and comparing them between images. Two phones were subjected to more detailed analysis. Results showed that many kinds of data were removed by the resets, but much user-specific configuration data was left. Android devices did …

Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practice, Shahzad Saleem, Ibrahim Baggili, Oliver Popov

Journal of Digital Forensics, Security and Law

In this work, a survey was conducted to help quantify the relevance of nineteen types of evidence (such as SMS) to seven types of digital investigations associated with mobile devices (MD) (such as child pornography). 97 % of the respondents agreed that every type of digital evidence has a different level of relevance to further or solve a particular investigation. From 55 serious participants, a dataset of 5,772 responses regarding the relevance of nineteen types of digital evidence for all the seven types of digital investigations was obtained. The results showed that (i) SMS belongs to the most relevant type …

A State-Of-The-Art Review Of Cloud Forensics, Sameera Almulla, Youssef Iraqi, Andrew Jones

Journal of Digital Forensics, Security and Law

Cloud computing and digital forensics are emerging fields of technology. Unlike traditional digital forensics where the target environment can be almost completely isolated, acquired and can be under the investigators control; in cloud environments, the distribution of computation and storage poses unique and complex challenges to the investigators. Recently, the term “cloud forensics” has an increasing presence in the field of digital forensics. In this state-of-the-art review, we included the most recent research efforts that used “cloud forensics” as a keyword and then classify the literature into three dimensions: (1) survey-based, (2) technology-based and (3) forensics-procedural-based. We discuss widely accepted …

Mobile Educational Forum, Suzanne Lien, Alexandria Shearer

Computer Science and Engineering Senior Theses

Good education is essential for youth around the world. However, many communities in the developing world do not have access to basic knowledge and resources, like HIV prevention, womens rights, and life skills. As a result, the youth in these communities grow up and face difficult substandard lives. The Mobile Educational Forum addresses these issues by enabling a central party to distribute educational information to youth in emerging markets by making use of resources they already have on hand--mobile phones. Through our mobile web application, young people not only receive valuable information, but are also able to engage in discourse …

A Forensic Study Of The Effectiveness Of Selected Anti-Virus Products Against Ssdt Hooking Rootkits, Sami Al-Shaheri, Dale Lindskog, Pavol Zavarsky, Ron Ruhl

Annual ADFSL Conference on Digital Forensics, Security and Law

For Microsoft Windows Operating Systems, both anti-virus products and kernel rootkits often hook the System Service Dispatch Table (SSDT). This research paper investigates the interaction between these two in terms of the SSDT. To investigate these matters, we extracted digital evidence from volatile memory, and studied that evidence using the Volatility framework. Due to the diversity in detection techniques used by the anti-virus products, and the diversity of infection techniques used by rootkits, our investigation produced diverse results, results that helped us to understand several SSDT hooking strategies, and the interaction between the selected anti-virus products and the rootkit samples. …

Significance Of Semantic Reconciliation In Digital Forensics, Nickson M. Karie, H. S. Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics (DF) is a growing field that is gaining popularity among many computer professionals, law enforcement agencies and other stakeholders who must always cooperate in this profession. Unfortunately, this has created an environment replete with semantic disparities within the domain that needs to be resolved and/or eliminated. For the purpose of this study, semantic disparity refers to disagreements about the meaning, interpretation, descriptions and the intended use of the same or related data and terminologies. If semantic disparity is not detected and resolved, it may lead to misunderstandings. Even worse, since the people involved may not be from the …

System-Generated Digital Forensic Evidence In Graphic Design Applications, Enos Mabuto, Hein Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Graphic design applications are often used for the editing and design of digital art. The same applications can be used for creating counterfeit documents such as identity documents (IDs), driver’s licences, passports, etc. However, the use of any graphic design application leaves behind traces of digital information that can be used during a digital forensic investigation. Current digital forensic tools examine a system to find digital evidence, but they do not examine a system specifically for the creating of counterfeit documents created through the use of graphic design applications. The paper in hand reviews the system-generated digital forensic evidence gathered …

Maximize Your Decision-Making: A Review Of Emerging Technology Trends, Carol Watson

Continuing Legal Education Presentations

Provides overview of new technologies (both software and hardware) that could become the "next big thing."

2013 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2013.

Vibration Energy Harvesting For Wireless Underground Sensor Networks, Salman Kahrobaee, Mehmet C. Vuran

Department of Electrical and Computer Engineering: Faculty Publications

Recent developments in wireless underground communication have enabled the realization of underground sensor network applications. To this end, it is desirable to provide a sustainable operation for wireless underground sensor networks (WUSNs) with extended lifetimes as maintenance is significantly costly. One promising method towards sustainable operation is to harvest energy underground based on the vibration sources in the environment. However, to the best of our knowledge, underground vibration energy harvesting has not been investigated before. In this paper, the feasibility of vibration energy harvesting for WUSNs is investigated. First, an analytical framework is developed to model the maximum harvestable power …

Measuring The Evolving Internet Ecosystem With Exchange Points, Mohammad Zubair Ahmad

Electronic Theses and Dissertations

The Internet ecosystem comprising of thousands of Autonomous Systems (ASes) now include Internet eXchange Points (IXPs) as another critical component in the infrastructure. Peering plays a significant part in driving the economic growth of ASes and is contributing to a variety of structural changes in the Internet. IXPs are a primary component of this peering ecosystem and are playing an increasing role not only in the topology evolution of the Internet but also inter-domain path routing. In this dissertation we study and analyze the overall affects of peering and IXP infrastructure on the Internet. We observe IXP peering is enabling …

A New Digital Image Steganography Algorithm Based On Visible Wavelength, İbrahi̇m Coşkun, Feyzi̇ Akar, Özdemi̇r Çeti̇n

Turkish Journal of Electrical Engineering and Computer Sciences

Stenography is the science that ensures secret communication through multimedia carriers such as image, audio, and video files. The ultimate end of stenography is to hide the secret data in the carrier file so that they are not detected. To that end, stenography applications should have such features as undetectability; robustness; resistance to various images process, sing methods, and compression; and capacity of the hidden data. At the same time, those features distinguish stenography applications from watermarking and cryptography applications. This study is different from other studies in the literature in that the undetectability parameter has been achieved through hiding …

Approaches That Will Yield Greater Success When Implementing Self-Administered Electronic Data Capture Ict Systems In The Developing World With An Illiterate Or Semi-Literate Population, Stanley J. Mierzwa, Samir Souidi, Irene Friedland, Sarah A. Littlefield, Lauren L. Katzen, Craig Savel, Deborah Boccio, Saumya Ramarao

Reproductive Health

The Information Technology (IT) Group at the Population Council responded to a need for a technology solution that would help researchers obtain more accurate responses to survey questions that concerned subject matter of a sensitive nature. The IT Group had three goals: (1) to enhance research by obtaining the best data possible, (2) to operate successfully in the local environment and be welcomed by the local populations, and (3) to increase the efficiency and cost-effectiveness of the survey process. This paper outlines approaches to consider when designing and implementing self-administered information and communications technology (ICT) questionnaires in developing countries, and …

System-Generated Digital Forensic Evidence In Graphic Design Applications, Enos Mabuto, Hein Venter

Journal of Digital Forensics, Security and Law

Graphic design applications are often used for the editing and design of digital art. The same applications can be used for creating counterfeit documents such as identity documents (IDs), driver’s licences, passports, etc. However, the use of any graphic design application leaves behind traces of digital information that can be used during a digital forensic investigation. Current digital forensic tools examine a system to find digital evidence, but they do not examine a system specifically for the creating of counterfeit documents created through the use of graphic design applications. The paper in hand reviews the system-generated digital forensic evidence gathered …

Complexity Reduction Of Rbf Multiuser Detector For Ds-Cdma Using A Genetic Algorithm, Mustafa Uğur Torun, Damla Gürkan Kuntalp

Turkish Journal of Electrical Engineering and Computer Sciences

The optimal receiver for detecting direct sequence code division multiple access (DS-CDMA) signals suffers from computational complexity that increases exponentially with the number of users. Several suboptimal multiuser detectors (MUDs) have been proposed to overcome this problem. Due to the nonlinear nature of the decision boundary of the optimal receiver, it is known that nonlinear receivers outperform linear receivers. Radial basis function (RBF) MUD is a nonlinear suboptimal receiver that can perfectly approximate this decision boundary and it needs no training since it is fully determined when the spreading codes of all users and the channel impulse response (CIR) are …