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LEADER IN
GLOBAL INFRASTRUCTURE
ARTIFICIAL INTELLIGENCE

SOFTWARE

Powerful Data Mining Software
at Your Fingertips

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More than 20 data mining methods

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Fast performance, user-friendly data mining platform

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1TB space for your data mining projects

Exclusive individual reports for every project

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Unlimited detailed summary of projects

WHAT WE DO

YOUR DATA ANALYTICS CONSULTANT IN INFRASTRUCTURE PROJECT ASSESSMENT 
(We Provide Solutions for 

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Energy

ENERGY ASSESSMENT
(SELECTED ASSESSMENTS)

Exploratory Data Analysis

Efficieny Assessment
Corruption Assessment

CORRUPTION ASSESSMENT
(SELECTED ASSESSMENTS)

Exploratory Data Analysis

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Global CPI, EGI, and HDI trend

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Frequency distribution of average CPI from 2007 to 2017, across the continents

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Boxplot for the continents’ CPI from 2007 to 2017

Machine Learning/Principal Component Analysis/Cluster Analysis

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Principal component analysis of the countries characteristics

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Clustering of countries based on perceived corruption using PCA dimensions

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Machine learning partial dependence plot for global corruption 

NARX Artificial Neural Network Analysis

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Panel Vector Autoregression Time-Series Prediction

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Impulse-response function curves:
E-Governance Index and Corruption Perceptions Index interactions

AVs

AUTONOMOUS VEHICLES
(AIAI's white paper)

AVs for Higher Efficiency and Lower Corruption

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AIAI's Internet of Things: Schematic figure of leveraging advanced technologies
for fighting corruption at the construction phase

Aerial photos of the project site could be taken before the construction starts, and before and after each day’s activities. In addition, the entire construction process (not only the overall site but also areas of specific tasks) can be recorded on video. These tasks include excavation, filling or embankment construction in layers, concrete pouring, asphalt laying, assembly of steel or precast concrete members, and so on. Using artificial intelligence techniques, the construction images can be processed to ascertain the quantities of materials used, the dimensions of the constructed product, and in certain cases, the quality of the material used in the constructed product, such as the level of soil compaction, moisture content of fresh concrete, and so on. The aerial photos can be used in conjunction with photogrammetric techniques to ascertain the dimensions and positions (heights, depths, angles) of constructed elements. Ground Penetration Radar (GPR) can help verify the quality of materials used in the construction including asphalt and concrete. Remote sensors installed in the crane buckets and trucks, used with GPS can measure the exact amount of soil that is hauled from one site to another. Intelligent compactors can help ascertain if the appropriate compaction levels have been achieved.

Concrete and asphalt mixer trucks equipped with GPS systems can alert the engineer at the laying site if they encounter undue delays between the batching plant and the site. Sensors installed inside their rotating drums report to the central monitoring office, the amount of concrete they are carrying, any changes in the concrete properties along their haul trip, and the mixture design of their load. Connectivity features also enable the comparison of material specifications and in-situ properties of the materials after construction, and any deviations can be addressed.

Smart sensors implemented in workers’ vests can capture the number of times they have moved objects during the day and show the calories burnt in that day, thereby monitoring workers’ overall health and performance. Finally, in such an integrated autonomous and connected system for construction inspection, the collected and analyzed data can be stored in a data cloud, processed according to established standards and guidelines that are consistent with a secure cyber environment, and given access to all relevant stakeholders including corruption mitigation personnel.

ELECTRIC VEHICLES
(selected assessments)

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Methods

AIAI'S EXCLUSIVE AI METHODS
(SELECTED METHODOLOGIES)

Multi-stage DEA model and quadrant analysis

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AIAI's architecture of a general multi-stage DEA model for efficiency assessment

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AIAI's interpretations of quadrant positions

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Linear/nonlinear model analysis

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AIAI's assessment on incompetent traditional linear/non-linear models, (CPI vs. EGI of countries - color-coded by continent of location)

Machine learning and AI methods

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AIAI's Exclusive Approach to Corruption Assessment

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AIAI's schematic diagram for the AI bootstrapping technique

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AIAI's schematic diagram for the AI k-fold cross-validation technique

NARX artificial neural network methods

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DATA

DATA SAMPLES

National Bridge Inventory

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Federal Highway Administration

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The Global Economy

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The World Bank

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CONTACT

CONTACT US

Inquiries

For any inquiries, please call 317-324-8895

or fill out the following form:

Roger that! Our best team member will get back to you shortly.

Head Quarters

1690 Civic Center Dr.

Santa Clara, CA 95050​

iacsi.america@gmail.com

Tel: 317-324-8895

Fax: 312-725-8798

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