Automated

Moisture content in commercially available milk powder was investigated using near infrared (NIR) diffuse reflectance spectroscopy with an Indian low-cost dispersive NIR spectrophotometer. Different packets of milk powder of the same batch were procured from the market. Forty-five samples with moisture range 4–10% were prepared in the laboratory. Spectra of the samples were collected in the wavelength region 800–2500 nm. Moisture values of all the samples were simultaneously determined by Karl Fischer (KF) titration. These KF values were used as reference for developing calibration model using partial least squares regression (PLSR) method. The calibration and validation statistics areR cal2:0.9942,RMSEC:0.1040, andR val2:0.9822,RMSEV:0.1730. Five samples of unknown moisture contents were taken for NIR prediction using developed calibration model. The agreement between NIR predicted results and those of Karl Fischer values is appreciable. The result shows that the instrument can be ...

Timetabling is one of the most important administrative activities that require huge attention of the school authorities in all educational institutions. Part of which has to do with examinations. Examination timetabling is sometimes a serious challenge in most universities. The objective of this work is to design and implement a web-based automated platform for university examination timetabling. The system discussed in this paper was developed using Macromedia Dreamweaver for creating the websites while MySQL serves as the database. The programming languages used consists of HTML (Hypertext Markup Language), PHP (Hypertext Preprocessor), Javascript, CSS (Cascading Style Sheets) and SQL (Structured Query Language). PHP is a scripting language that is embedded in HTML. PHP scripting code is used to connect web pages to MySQL databases to create dynamic web sites. The system was able to successfully schedule the university examination timetable within a few seconds without clashes of invigilators and examination venues. If the system is fully implemented and adopted, it will go a long way to correct the problems encountered during the manual method of examination timetabling in most universities.

The objective of this paper is to outline the
implementation of the Walking Skeleton Strategy in the
environment of the test driven development. It is often observed
that the project build is time consuming which, delays the
project accomplishment, this paper will help us understand how
the implementation of Walking Skeleton Strategy is time and
cost effective by automating the project build, deploy and test
end-to-end.

Abstract: A CAPTCHA is a program that can generate and grade tests that humans can pass but current computer programs cannot. For example, humans can read distorted text as the one shown below, but current computer programs can't. The term CAPTCHA (for Completely Automated Turing Test to Tell Computers and Humans Apart) was coined in 2000 by Luis von Ahn, Manuel Blum, Nicholas Hopper and John Langford of Carnegie Mellon University. At the time, they developed the first CAPTCHA to be used by Yahoo. ReCAPTCHA improves the process of digitizing books by sending words that cannot be read by computers to the Web in the form of CAPTCHAs for humans to decipher. More specifically, each word that cannot be read correctly by OCR is placed on an image and used as a CAPTCHA. This is possible because most OCR programs alert you when a word cannot be read correctly.
Keyword: CAPTCHA, automated, digitizing, decipher, OCR.
Title: Technique to CAPTCHA Recognition
Author: Prof.G.K.Gaikwad, Prof.B.S.Chaudhary
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
Research publish Journals

Through this project, we aim to build a linear regression model for automated essay grading. Essays form a huge part of certain college applications and are a part of major competitive exams such as GRE, GMAT etcetera. Manually grading the essays can be extremely time consuming and pressurizing for the instructor. To make these tasks simple, we can train an essay grading program to do the grading automatically. The aim of the grader would be to predict the score of the essay with as much accuracy as possible. The machine assigns scores and should be near the human grader's score. A dataset of around 2000 essays was used. The essays were graded on the basis of parameters like word count, coherence, number of long words, correct grammar, etc. Feature selection is used to arrive at the most accurate score prediction.

We have developed a stack of semantics for a high-level C-like language and low-level assembly code, which has been carefully crafted to support the pervasive verification of system software. It can handle mixed-language implementations and concurrently operating devices, and permits the transferral of properties to the target architecture while obeying its resource restrictions. We demonstrate the applicability of our framework by proving the correct virtualization of user memory in our microkernel, which implements demand paging. This verification target is of particular interest because it has a relatively simple top-level specification and it exercises all parts of our semantics stack. At the bottom level a disk driver written in assembly implements page transfers via a swap disk. A page-fault handler written in C uses the driver to implement the paging algorithm. It guarantees that a step of the currently executing user can be simulated at the architecture level. Besides the mere theoretical and technical difficulties the project also bore the social challenge to manage the large verification effort, spread over many sites and people, concurrently contributing to and maintaining a common theory corpus. We share our experiences and elaborate on lessons learned.

An autosampler/injector commutator for flow injection analysis (FIA) was constructed with electronic components of used equipments. The apparatus is controlled by commercially available multifunctional interface (PCL711B) connected to a personal computer, and the software was written in Visual Basic language. The system was applied to water analysis and it presented satisfactory results. The low cost and simplicity are the principal characteristics of the autosampler/injector commutator.

We describe a model for the thermal stresses calculation in sapphire-glass dielectric structure for pressure sensor using the finite element method (FEM) based on the Coventor Ware Turbo 2012 package. We use an inorganic glass dielectric of the PbO-B 2 O 3-ZnO system (5 μm thick) and a sapphire substrate (0.5 mm thick) obtained by the horizontal directed crystallization (HDC) method as components of the sapphire-glass dielectric structure. The model of the thermal stresses calculation in sapphire-glass dielectric structure for the pressure sensor allows defining the thermal stress values in the glass dielectric film as well as making suggestions to the developers of pressure sensors that incorporate glass dielectric as the connecting element for construction improvement. We determine the dependence of the residual thermal stresses of the glass inorganic dielectric on the sapphire substrate surface on the thickness of the dielectric film for the pressure sensor. The results of numerical simulation of thermal stresses in sapphire-glass dielectric in Coventor Ware Turbo 2012 have shown that the thermal stresses in the glass inorganic dielectric film of PbO-B 2 O 3-ZnO system on a sapphire substrate obtained by HDC method for a pressure sensor were in the range of 26-41 kg/cm 2 , which corresponds to theoretical calculations. The calculation results of thermal stress model for sapphire-glass dielectric structure contribute to improving the performance characteristics of the pressure sensor.

6 Introduction 7 Theory 11 Inverse Thermal Parameter Fitting Method 11 Sensible Heat Balance Theory 13 Materials and Methods 14 Results and Discussion 18 Algorithm to Determine ‘z’ Spacings Relative to the Surface 18 Soil Heat Flux 19 Assessment of Subsurface Evaporation Rates 21 Conclusion 24 References 26 III. A FULLY AUTOMATED MICROLYSIMETER FOR PROLONGED MONITORING OF SOIL EVAPORATION 42 xi Abstract 42 Introduction 43 Materials and Methods 46 Results and Discussion 53 Summary and Conclusions 58 References 59 IV. SUMMARY AND CONCLUSIONS 74

Affordable avian radar systems are being developed for Natural Resource Management (NRM) and bird aircraft strike hazard (BASH) applications. Recently (1), the authors have reported on mobile avian radar system requirements and on a system design that is state-of-the-art. In the present paper, the system design of a single avian radar is expanded in scope to address 3-D avian radar

This work deals with an important issue in intrusion detection research that is the automation of the intrusion response process. It presents a survey of the developed intrusion response systems. First, a literature review is overviewed. Then, the key properties that should be verified by a reliable intrusion response system are identified. Finally, the evaluation of these models based on the mentioned key properties is conducted and discussed.

nguyendangbinh.org/Proceedings/IPCV08/Papers/SAM4420.pdf

Flood is one of the biggest concerns during rainy seasons especially
in the Philippines. It gives a huge impact to the place; people around
the flooded area are usually left with no choice but to wait until the
flood subsides before they can go back to their daily routine without
any hassle. Nature has always been taken for granted and as a result,
it pays us back.
Barangay 833, Pandacan, Manila a Local Government Unit (LGU)
existing under the laws of the Republic of the Philippines is one of the
most flooded areas in Metro Manila due to its location with Pasig river
along the shore. Over the years, Barangay 833 experienced different
kinds of flooding. From heavy to light and moderate rain, the area
seems to be unready to most unnecessary situations. Flooding in
Barangay 833 leads to an unhealthy surrounding and causes traffic
along the highways as well.
Alongside with the many reasons and causes of flooding, the
drainage system of Barangay 833 which gets blocked so easily with
waste materials is one of the biggest reasons why the area gets
flooded so easily. Because of this, our team will design a device that
will collect the trash automatically from the small drainages connected
to the manhole or main drainage system.

A response surface methodology (RSM) has been utilized for investigating the dynamics of mechanical parameters of a developed automated grain drinks processing machine. Also, the optimal values capable of yielding low and high drink consistency were established. The machine integrates the blending of soaked grains, mixing of the slurry, extraction of the aqueous liquid and discharging of paste out of the machine all together in a single unit. Its mechanical parameters, which include blade type, basket orientation, and speed, have been investigated while drink consistency was used as performance characteristics. The experiment was based on a central composite rotatable design (CCRD). The result of the experimental revealed that the highest consistency of 7.67 was obtained from an interaction between 3 blades assembly, basket with half angle of 30º and speed of 1400 rpm, while the least consistency of 1.96 was obtained from an interaction between 4 blades assembly, basket with half angle of 40º and speed of 864 rpm. Numerical optimization carried out with the goal of maximizing the consistency revealed optimum values of 3-blade assembly, basket orientation of 46.89º and speed of 1400 rpm for consistency of 7.68 with a desirability of 0.999. But when the goal was to minimize the consistency the optimum values of 5-blade assembly, basket orientation of 50º and speed of 1000 rpm were obtained, while the milk consistency and desirability were 2.57 and 0.894, respectively. The blade type and the speed of rotation were the most influential variables affecting the drink consistency. The result of this study provided standard input machine variables capable of yielding soya milk with various consistencies to meet the consumer's desire.

Standard plaque assays to determine infectious viral titers can be time consuming, are not amenable to a high volume of samples, and cannot be done with viruses that do not form plaques. As an alternative to plaque assays, we have developed a high-throughput titration method that allows for the simultaneous titration of a high volume of samples in a single day. This approach involves infection of the samples with a Firefly luciferase tagged virus, transfer of the infected samples onto an appropriate permissive cell line, subsequent addition of luciferin, reading of plates in order to obtain luminescence readings, and finally the conversion from luminescence to viral titers. The assessment of cytotoxicity using a metabolic viability dye can be easily incorporated in the workflow in parallel and provide valuable information in the context of a drug screen. This technique provides a reliable, high-throughput method to determine viral titers as an alternative to a standard plaque assay.

Glaucoma is a leading eye disease, causing vision loss by gradually affecting peripheral vision if left untreated. Current diagnosis of glaucoma is performed by ophthalmologists, human experts who typically need to analyze different types of medical images generated by different types of medical equipment: fundus, Retinal Nerve Fiber Layer (RNFL), Optical Coherence Tomography (OCT) disc, OCT macula, perimetry, and/or perimetry deviation. Capturing and analyzing these medical images is labor intensive and time consuming. In this paper, we present a novel approach for glaucoma diagnosis and localization, only relying on fundus images that are analyzed by making use of state-of-the-art deep learning techniques. Specifically, our approach towards glaucoma diagnosis and localization leverages Convolutional Neural Networks (CNNs) and Gradient-weighted Class Activation Mapping (Grad-CAM), respectively. We built and evaluated different predictive models using a large set of fundus images, c...